Literary Exploration on of Mice and Men

Literary Exploration In life we are part of many roles that create dangers we face that may lie beyond our understanding. Even though these roles are hard to understand, they can give meaning to our life. In John's Steinbeck â€Å"Of Mice and Men,† we see these men's day to day lives, the main character; George takes care of his friend Lennie who has difficulties understanding the rules of the world we live in. Through the story there are many ups and downs mostly involving Lennie, who is trying to see through the eyes of George and to do and be as George is.For this reason George is constantly trying to think of what is best for Lennie. Through all of this they face even more dangers and still try to find a way to raise money for a farm to call their own. George and Lennie show how the dangers we face can affect our lives for the better while everything fails around them. Danger is important in our lives, because it gives us the drive to go through day to day lives. Often whe n struggling with dangers we find hope and we look to the outside world for assurance and escape from our worries or pain.George and Lennie find dangers from the very start of the novel because of they are forced to run from one of many problems Lennie causes. In the novel Steinbeck gives Lennie a purpose of taking care of the â€Å"rabbits† and in doing this it shows Lennie that to him his purpose in life is to take care of the â€Å"Rabbits. † In the novel a quote that show that the dangers they ran from at the very beginning are far behind them, â€Å"Guys like us, that work on ranches ,are the loneliest guys in the world. They got no families. They don't belong no place†¦We're gonna have a little house an' a couple of acres an' a cow and some pigs and live off the fatta the land†¦ We'll have a big vegetable patch and a rabbit hutch and chickens†¦Ã¢â‚¬  this quote shows how George and Lennie strive to have a better life. Even though George knows tha t these dreams will never come true, â€Å"let’s have different color rabbits, George†¦ Red and blue and green rabbits†¦ sure fluffy ones. † As you begin to read on in the novel, it almost seems as if, their hopes and dreams are starting to come true. â€Å"you know a place like that? †Ã¢â‚¬ ¦Ã¢â‚¬â„¢Maybe we could do her right now? †¦Ã¢â‚¬ In one month. †Ã¢â‚¬ ¦ But then Lennie unknowingly is killing everything he touches and the dangers they ran from are coming back just as before , â€Å"Why he’s dead. † She cried â€Å"I was just playing with him†¦ and he was gonna make like he was gonna bite me†¦an’ I made like I was gonna smack him†¦ an’†¦an’ I done it. An’ then he was dead. † And because of this and Curly’s wife George is faced with a big decision. George must learn that Lennie is dangerous to others that are around him because he does not know his own streng th, and that him and Lennie cannot keep running forever.However, hope can be taken as well, which is shown in the novel by a stable buck named Crooks. â€Å"A guy sets alone out here at night, maybe readin’ books or thinkin’ or stuff like that. Sometimes he gets thinkin’, an’ he got nothing to tell him what’s so an’ what ain’t so. Maybe if he sees somethin’, he don’t know whether it’s right or not. He can’t turn to some other guy and ask him if he sees it too. He can’t tell. He got nothing to measure by. I seen things out here. I wasn’t drunk. I don’t know if I was asleep. If some guy was with me, he could tell me I was asleep, an’ then it would be all right.But I jus’ don’t know. † Crooks speaks these words to Lennie, on the night that Lennie visits Crooks in his room. The old stable-hand admits to the very loneliness that George described in the novel. As a black man with a physical handicap, Crooks is forced to live in the barn whitch is on the ranch life. He is not even allowed to enter the white men’s bunkhouse, or join them in a game of cards. His bitterness usually comes out through his bitter, caustic wit, but in this passage he displays a sad, touching side. Crooks’s desire for a friend by whom to â€Å"measure† something.Because these men feel such loneliness, it is not surprising that the promise of a farm of their own and a life filled with strong, brotherly bonds. â€Å"I seen hundreds of men come by on the road an’ on the ranches, with their bindles on their back an’ that same damn thing in their heads . . . every damn one of ’em’s got a little piece of land in his head. An’ never a God damn one of ’em ever gets it. Just like heaven. Ever’body wants a little piece of lan’. I read plenty of books out here. Nobody never gets to heaven, and nobody g ets no land. In this passage , after Lennie shares with Crooks his plan to buy a farm with George and raise rabbits, Crooks tries to deflate Lennie’s hopes which creates dangers that may lie beyond our understanding. He relates that â€Å"hundreds† of men have passed through the ranch, all of them with dreams like Lennie’s. Not one of them, he emphasizes with bitterness, ever succeeds to make that dream come true. Crooks shows a sense of reality, telling again of Lennie’s childlikeness , and that the dream of a farm is, after all, only a dream.This moment show’s off Crook’s character, and how a lifetime of loneliness and cruelty can lead to bitterness. It also furthers Steinbeck’s disturbing thought’s that those who have strength and power in the world are not the only ones responsible for cruelty. As Crooks shows, even though he was hurt by others, he seeked out Lennie and attacked him because he is even weaker than Crooks is. Sometimes in life we have difficulty in decisions that makes us question our morals even deeper our character. Curley’s wife enters the barn and try’s to console Lennie. What you got covered up there? † She admits that the life with Curley is a disappointment, and wishes that she had followed her dream of becoming a movie star â€Å"Coulda been in the movies, an’ had nice clothes-all them nice clothes like they wear. An’ I coulda sat in them big hotels, an’ had pitchers took of me†. Lennie tells her that he loves petting soft things, and she offers to let him feel her hair. When he grabs too tightly, she cries out. Lennie becomes sacred and tried to silence her, he unknowingly breaks her neck.Lennie flees back to a pool of the Salinas River that George has told Lennie of the meeting place that should either of them get into trouble they are to meet. As Candy discover what has happened and gather together a lynch party, George joins Le nnie. Much to Lennie’s surprise, George is not mad at him for doing â€Å"a bad thing. † George begins to tell Lennie the story of the farm they will have together. As he describes the rabbits that Lennie will tend, the sound of the approaching men grows louder. George shoots Lennie in the back of the head.When the other men arrive, George lets them believe that Lennie had the gun, and George wrestled it away from him and shot him. Only Slim understands what has really happened, that George has killed his friend out of mercy â€Å"Goerge raised the gun and listened to the voices†Ã¢â‚¬ ¦ â€Å"le’s do it now. Le’s get that place now. † Slim consolingly leads him away, and the other men, completely puzzled, watch them leave. Lennie is an illustration of how, as we go through life, every human’s personality will be given its test however, it is up to the person to either grow from the knowledge or be crushed as a result.

Contribute to Children and Yp’s Health and Safety

MU 2. 4 CONTRIBUTE TO CHILDREN’S AND YOUNG PEOPLE’S HEALTH & SAFETY Check your knowledge 1. What does COSHH stand for? COSHH stands for control of substances hazardous to health 2. Name two other regulations that cover health and safety in children’s settings. Reporting of injuries, diseases and dangerous occurrences Regulation (RIDDOR) 1995 Food hygiene legislation 2006 – safe storage and preparation of food 3. List six routine daily checks you should make of the indoor and outdoor environments in your setting. ndooroutdoor Check that floor is clean, clear, bright and look invitingCheck that there are not sharp instruments, rocks check that all toys are securely place on mats, or well arranged and not damagedEnsure that there are not insects and bees nests Check that heating and lights are workingEnsure shed is locked at the end of the day 4. Identify two ways in which you can make sure children are secure in your setting. †¢Checking that the gates a nd the doors are locked †¢Ensure that the adult to child ratio is correct . List three aspects of welfare covered by the statutory requirements of the EYFS. Safeguarding and promoting children’s welfareThe provider must take necessary steps to safeguard and promote the welfare of children. The provider must promote the good health of the children, take necessary steps to prevent the spread of infection, and take appropriate action when they are ill. Children’s behaviour must be managed effectively and in a manner appropriate for their stage of development and particular individual needs. OrganizationProviders must plan and organize their systems to ensure that every child receives an enjoyable and challenging learning and development experience that is tailored to meet their individual needs. DocumentationProviders must maintain records, policies and procedures required for the safe and efficient management of the settings and to meet the needs of the children. 6. Give three examples of how you might assess the risk of particular activities, taking the children’s ages into account. working with animals – the animals must be well trained, proper supervision and the activity should be made with children over 8 years †¢football – the children can hit each other or can happen accidents as breakages; as a control measure I need to provide plenty of space and not interfere with other games †¢ 7. Why is it important to record accidents and incidents? It is important to learn from mistakes and prevent children being injured or becoming ill in f uture and to report to parents. 8. List six items from a first aid kit. †¢adhesive bandages, †¢sterile dressings, †¢thermometer, †¢gloves, †¢regular strength pain medication, †¢Disinfectant. 9. What should you do in the case of an accident before you start to give first aid? Before starting to give first aid in the case of an accident is to call for an ambulance. 10. List three key signs of meningitis in a baby or young child. †¢Fever †¢Headache †¢Dislike of light †¢Stiff neck †¢Red spots underneath the skin that not disappear when a glass is pressed against it

Fair Value or Cost Mode Drivers of Choice for Ias 40

European Accounting Review Vol. 19, No. 3, 461– 493, 2010 Fair Value or Cost Model? Drivers of Choice for IAS 40 in the Real Estate Industry A. QUAGLI? and F. AVALLONE ? Department of Accounting and Business Studies (DITEA), University of Genova, Genova, Italy and ? ? Department of Computer and Management Science (DISA), University of Trento, Trento, Italy (Received September 2008; accepted February 2010) ABSTRACT The IFRS mandatory adoption in European countries is an excellent context from which to assess the validity of accounting choice theory, which postulates that information asymmetry, contractual ef? iency (agency costs) and managerial opportunism reasons could drive the choice. With this aim, we test the impact of these factors to explain the adoption of fair value for investment properties (IAS 40) in the real estate industry, taking into account the ‘revaluation’ option offered by IFRS1 and using historical cost without revaluations as a baseline catego ry for comparison purposes. We select a sample of European real estate companies from Finland, France, Germany, Greece, Italy, Spain and Sweden, all ? rst-time adopters of the IFRS. Using a multinomial logistic model, we show that information asymmetry, contractual ef? iency and managerial opportunism could account for the fair value choice. Particularly, the most signi? cant ? ndings are that size as a proxy of political costs reduces the likelihood of using fair value while market-to-book ratio is negatively associated with the fair value choice. On the other hand, leverage, another typical proxy of contracting costs, seems not to in? uence the choice. This evidence con? rms the current validity of traditional accounting choice theory even if it reveals, in such a context, the irrelevance of the usual relations between accounting choice and leverage. . Introduction We analyse if the choice between cost or fair value for investment property under IAS 40 aims at (i) reducing agency costs (contractual ef? ciency Correspondence Address: A. Quagli, Department of Accounting and Business Studies (DITEA), University of Genova, Via Vivaldi 2, 16126 Genova (GE), Italy. E-mail: [email  protected] unige. it 0963-8180 Print/1468-4497 Online/10/030461–33 # 2010 European Accounting Association DOI: 10. 1080/09638180. 2010. 496547 Published by Routledge Journals, Taylor & Francis Ltd on behalf of the EAA. 462 A. Quagli and F. Avallone easons), (ii) mitigating information asymmetries, as standard setters claim, or (iii) allowing managerial opportunism, typical motives de? ned by accounting choice theory (Holthausen, 1990; Fields et al. , 2001). Using a multinomial logistic regression, we test these hypotheses using 73 observations from real estate companies located in European countries (Finland, France, Germany, Greece, Italy, Spain and Sweden) which do not allow the fair value method in the pre-IFRS mandatory period in order to eliminate the in? uence of pre-exist ing fair value adoption. All these ? rms are ? sttime IFRS adopters, enabling us to compare the same accounting choice in a similar situation (? rst-time adoption). The mandatory adoption of IAS 40 (Investment properties) by European listed companies offers a unique opportunity to verify managers’ behaviour in a composite context of accounting choice. In fact, IAS 40 allows two alternative methods for appraisal of investment property assets: the cost method or the fair value method with recognition of fair value changes through pro? t and loss. Additionally, taking into account the IFRS1 ‘fair value as deemed cost’ option, the cost choice could be split into two lternatives: (i) historical cost without revaluation, (ii) historical cost with the IFRS1 option to revaluate investment property. This second option could represent a partial substitute for the fair value method, showing its effects only in equity without in? uencing pro? t and loss. 1 Thus, our model as sumes the choice of applying historical cost without revaluating it as the referent outcome category to compare (Y ? 0), and forms logits comparing the choice of using historical cost with IFRS1 revaluations of investment property (Y ? 1) and fair value choice (Y ? 2) to it. Our ? dings suggest that all the rationales described by accounting choice theory (information asymmetry, contractual ef? ciency and managerial opportunism) drive the decision to adopt fair value. Indeed, regarding contractual ef? ciency reasons in particular, we ? nd that the larger the size (proxy of political costs), the less likely fair value is to be chosen, while leverage and consequent lenders’ protection seems to be insigni? cant for the choice. Furthermore, our results show that market-to-book ratio (MTBV) (proxy of information asymmetry) is negatively related to the fair value choice. This ? nding, that con? cts with existing literature, could be accounted for in the real estate industry due to the fact that high levels of MTBV in this context reveal growth opportunities associated with a fair estimation of investment properties and therefore with a low information asymmetry. Managerial opportunism behaviour, measured by a dummy variable for earnings smoothing, seems to have an in? uence on fair value choice. While all these variables seem to have an in? uence on the fair value choice, the same variables do not explain the choice of historical cost with the IFRS1 revaluation option in preference to the cost maintenance approach.This paper offers various contributions to current literature. Firstly, to the best of our knowledge, it is one of the ? rst papers speci? cally focused on the choice Fair Value or Cost Model? 463 between cost and fair value in the IFRS context. We perform the analysis using a sample of ? rst-time IFRS adopters from several European countries adopting only the cost method in the pre-IFRS phase in order to both not limit the research to the tradition al comparison between German and UK ? rms and eliminate the risk of in? uence from past experience.Secondly, this paper introduces to the accounting choice literature a research designed to analyse the in? uence of multiple motivations (contractual ef? ciency, information asymmetry and managerial opportunism) for a multiple-choice environment (cost, cost with IFRS1 revaluation or fair value through pro? t and loss), testing through a multinomial logistic regression all the possible causes. Previous research, on the contrary, usually overlooks a comparison of multiple motivations (Fields et al. , 2001, pp. 290 – 291).In other words, compared to existing studies we conduct an analysis using an innovative multiple motivations – multiple choices approach that better captures the complexity of accounting choices in management decisions. Finally, we contribute to the current debate on fair value showing which ? rm characteristics drive the choice of this method. While inform ation asymmetries are the most discussed motives for fair value, we demonstrate the in? uence of contractual ef? ciency motivation as well as managerial opportunism, and the actual choices by ? ms demonstrate only a ‘partial enthusiasm’ towards fair value, even in a sector where liquid markets exist. The paper proceeds as follows. Section 2 concerns the literature related to our analysis. Section 3 goes on to describe the main features of IAS 40 and the preIFRS domestic GAAP of the countries sampled. Section 4 illustrates the development of our hypotheses, while Section 5 provides details on the empirical model design, variable de? nition, sample selection and data. Finally, Section 6 describes descriptive statistics, the main ? ndings and the robustness of the results. . Theory and Relation to Existing Research The choice between fair value and cost is a central topic in the current debate on accounting. Fair value is generally preferred due to the fact that ?nancial s tatements reveal a higher level of information (CFA Institute Centre, 2008),2 even if its adoption requires speci? c conditions: liquid markets, large database of available prices (Barth and Landsman, 1995; Ball, 2006), as well as new competencies in developing measurement models in the absence of liquid markets, making it possible to enhance estimate reliability (Schipper, 2005).On the other hand, the reliability of fair value estimates is the most critical point (Martin et al. , 2006; Watts, 2006; Whittington, 2008), with the potential damage brought to the stewardship function of ? nancial statements. More generally, the demand for fair value has to be evaluated in its speci? c country context. The demand for fair value and the related preference for a higher level of information vs. reliability of ? nancial statements in Common law countries is quite different from the same demand in Code law countries (see Ball et al. 2000). 464 A. Quagli and F. Avallone Alternatively, a cost m odel seems more ef? cient in a contractual perspective because it reduces agency costs generated by creditors’ protection, political visibility, taxation and litigation (Watts, 2003; Qiang, 2007). Recent studies, however, seem to ignore the importance that the analysis of the adoption of IFRS evaluation alternatives could have in providing some more explanations for managers’ accounting choices and, consequently, for the progress of accounting choice theory.Therefore, the choice between cost and fair value is a central topic in this sense. Following the framework of Francis et al. (2004), fair value and cost affect the properties of accounting numbers in a very different way. Fair value is more value relevant,3 and provides more predictable and timely earnings ? gures because it is more oriented towards future cash ? ows (derivable by the current value of some assets); on the contrary, the cost method approach supports conservatism, smoothness and the accrual quality, due to the recognition of value changes only if realized.While it is dif? cult to suppose the impact on earnings persistence, depending on the size of fair value changes, the aforementioned aspects will give rise to different accounting behaviours. The information about future cash ? ows derived by fair value will be more appreciated in ? nancial markets (analysts and equity investors), because it will contribute to mitigate information asymmetries. On the other hand, the cost method is less costly and has more utility for income smoothing and contractual ef? ciency for which conservatism is a precious support.In other words, each of these methods has, at a theoretical level, pros and cons and the actual choice will likely depend on ? rm-speci? c circumstances. The different impact of these two methods strongly implies the need of the accounting choice theory to investigate the topic. A powerful starting point for accounting choice investigation is offered by Holthausen (1990; see a lso Watts and Zimmerman, 1978; Fields et al. , 2001) who classi? ed in: (i) contractual ef? ciency (agency costs), (ii) information asymmetry and (iii) managerial opportunism, the reasons for accounting choices. i) Expectations derived from the accounting choice theory concerning the impact of fair value on contractual ef? ciency could lead to a supposed negative relationship: the choice of fair value could increase agency costs for several reasons. The greater income ? uctuations induced by fair value compared to the cost model could enhance the perceived risk by investors (European Central Bank, 2004) and, consequently, the cost of capital, as the high level of reported pro? ts could increase political costs due to higher company visibility (Hagerman and Zmijewski, 1979). Additionally, the doubtful veri? bility of fair value compared to cost measures, in some contexts (illiquid markets) could increase litigation and its related costs (Watts, 2003), as well as the fact that fair va lue through pro? t and loss could anticipate taxation costs. Furthermore, we can infer from the contractual ef? ciency reasons regarding lenders’ protection contrasting hypotheses on fair value preference. On the one hand (Watts, 2003; Qiang, 2007), lenders prefer Fair Value or Cost Model? 465 conservatism (thus the cost method) because it reduces the risk of distributing ? rm value through dividends.On the other hand, fair value represents the current value of assets and it could be more ef? cient in negotiating for debt covenants. In this sense Christensen and Nikolaev (2008), basing their research on a sample of French and German multi-industry companies, ? nd that the fair value method is preferred by companies with high leverage and they account for this through information asymmetry: the current value of ? xed assets gives more thorough information about the ? rm’s solvency capability. In this sense, IFRS1 revaluation option could be a ‘partial’ subs titute of IAS 40 fair value, that is, ? ms could use the conservative cost approach to guarantee lenders’ protection but they could opportunistically revaluate investment assets through IFRS1 to beat covenants or to give a signal about their solvency capability. In other words, while IAS 40 fair value is a ‘long-term strategy’ whose effects are uncertain (fair value could give rise to future revaluations or impairments), the IFRS1 option could be seen as a ‘short-term strategy’, the accounting consequences of which could be made available before its adoption (the revaluations ex IFRS1 option must exist at the transition date, that is, one year before the ? st exercise IFRS compliant). In this sense, this option would encourage opportunistic (and aggressive) accounting behaviour. All these propositions, however, could fail to be applied if we take into account that covenants use, on average, to exclude revaluation reserves in ? nancial ratios. (ii) Lo oking at asymmetries for market participants, measured by market-tobook ratio (MTBV), fair value could be preferred to cost method because of its higher and updated level of information divulgated to ? nancial statement users.This is the main argument supporting the fair value primacy from a current standard setters’ viewpoint (Barlev and Haddad, 2003; Ball, 2006; Danbolt and Rees, 2008; Whittington, 2008). For this hypothesis, IFRS1 option could be a partial substitute for IAS 40 fair value, because of its in? uence on equity and, consequently, on MTBV. (iii) When a ? rm is choosing between cost and fair value, the managerial opportunistic accounting behaviour, previously demonstrated by income smoothing practices (Barth et al. , 1999; He? in et al. 2002; Graham et al. , 2005) is less likely with fair value through pro? t and loss, which obliges large earnings impact due to the volatility of market prices. However, the choice of the IFRS1 option in this sense should be irrel evant (thus not competing with fair value through pro? t and loss method), because this accounting option in? uences only equity and has no impact on pro? t and loss. Our objective is to test empirically how these multiple, and in part controversial, reasons (managerial opportunism, contractual ef? iency and information asymmetries) account for the choice of either fair value or the cost model due to the recent mandatory adoption of IFRS. In the typical discussion about IFRS, in 466 A. Quagli and F. Avallone fact, the power of fair value is recognized speci? cally regarding its potential to reduce information asymmetries (Whittington, 2008). Our analysis is based on the assumption that recognition is more value relevant than simple disclosure. Since IAS 40 requires footnote disclosure of fair value investment properties for ? ms adopting cost (see Section 3), it could be assumed that the choice between cost and fair value is not relevant, because the information about fair value is available for ? nancial statement users whatever the accounting policy chosen for investment properties. Nonetheless, our paper poses disclosure not equivalent to recognition according to the prevailing literature4 (for a review see Schipper, 2007). In all probability, the reasons can be found in a different reliability of data included in the footnotes relating to the balance sheet measures (Schipper, 2007). As af? med by Cotter and Zimmer (2003), speci? cally for revaluations of ? xed assets, ‘the value relevance of recognized revaluations is not due to recognition per se, but rather to the fact that the assets being revalued are more reliably measured’ (p. 1). 3. Main Features of IAS 40 and Differences with the Domestic GAAP of Countries Sampled IAS 40 is concerned with investment property that is property (land or a building) held to earn rentals or for capital appreciation or both, rather than for use as a site in which to run a manufacturing business or as a good to sell in the ordinary course of business.The most relevant feature for our interests in IAS 40 is the evaluation method. IAS 40 permits evaluation of investment properties choosing alternatively: . fair value model, by which an investment property is measured, after an initial measurement, at fair value with changes in fair value recognized in the income statement and with no depreciation; . cost model, with the same rule as in IAS 16 (the property is to be measured after initial recognition at depreciated cost less any accumulated impairment losses).This feature makes IAS 40 unique within the IFRS because it represents the only case where the two main evaluation criteria, fair value and cost, are alternatively admitted in their ‘pure’ form; the IAS 40 fair value re? ects its changes from one period to another in the income statement and not directly in an equity reserve as established by IAS 16 or IAS 38. As a consequence, managers are conscious that the choice betwe en these accounting methods implies substantial variations in accounting results. As reported in the Basis for Conclusions, in the 2003 IAS 40 revision (par.BC 12), the IASB discussed whether to eliminate the choice between the fair value model and cost model, thus implicitly enforcing the former as the only evaluation Fair Value or Cost Model? 467 method allowed. However, it was decided to leave the choice between the two approaches for two main reasons: the ? rst was to give preparers and users time to acquire experience before using a fair value model. Obviously, with regard to the practice of fair value assessment the second was to allow time for countries with less-developed property markets and valuation professions to mature.The IASB planned to reconsider the option of using the cost model at a later date, in the light of ‘fair value supremacy’ pervading the International Accounting Standards. Nonetheless, the fair value primacy is notable for its disclosure clau se, requesting the fair value of the investment property for the entities that choose the cost model, this means that an entity is obliged to assess fair value in all cases, which is a logical premise to permitting an easier transition to the fair value method at a later date.Additionally, the entity has to declare in notes whether it applies the fair value model or the cost model and the methods and signi? cant assumptions applied in determining the fair value, including a statement whether the determination of fair value was supported by market evidence or was more heavily based on other factors (which the entity should disclose) relating to the nature of the property and the lack of comparable market data. The fair value method benchmarked by IAS 40 is a novelty for several European countries.Our sample looks at domestic accounting rules; it is made up of companies from countries which allow only the cost method for investment property: Germany (Deloitte & Touche, 2001), Finland (KPMG, 2003a), France (KPMG, 2003b), Greece (Tsalavoutas and Evans, 2009), Italy (PWC, 2005), Spain (Perramon and Amat, 2007), Sweden (KPMG, 2005). More speci? cally, in Spain and Italy an asset revaluation credited to equity is permitted only if a special law allows it. In France a revaluation to equity is permitted only if it embraces all ? ed assets and the long-term ? nancial assets. In Greece, it is possible to revaluate ? xed assets to equity every four years following a revaluation index established by the Government. In Germany no revaluations are allowed. Finnish and Swedish GAAP permit a revaluation of properties credited to equity if their fair value exceeds cost in a permanent, signi? cant and reliable way. The choice of countries using only the cost model in the pre-IFRS mandatory phase allows us to eliminate the in? uence of any pre-existing in? ence of fair value adoption. 4. Hypothesis Development Following Section 2, we develop our hypotheses concerning: (i) ef? cie ncy reasons, in terms of both the reduction of political costs and the lenders’ protection, (ii) information asymmetry and (iii) managerial opportunism. 468 A. Quagli and F. Avallone (1) Contractual Ef? ciency Following the hypothesis that conservatism accounting should reduce agency costs through a greater lenders’ protection (Watts, 2003; Qiang, 2007), we suppose a negative correlation between leverage and fair value method.We do not conjecture the opposite assumption (Holthausen and Leftwich, 1983) that in order to beat covenants, higher leverage could induce earnings increasing policies (like, in our speci? c context, the choice of fair value through pro? t and loss) because covenants usually do not take into account fair value revaluations (Citron, 1992; Christensen and Nikolaev, 2008). Thus, H1: The probability of choosing fair value decreases if company has a high leverage ratio level before IFRS adoption.We do not posit any assumption on the relationship betwee n leverage and the choice of historical cost with the IFRS1 option for the aforementioned exclusion of revaluation reserves in ? nancial ratios used by covenants. As already described in the part of Section 2 that looks at political costs, we can suppose from the literature that conservative accounting reduces political costs because the high level of reported pro? ts could affect them due to higher company visibility (Hagerman and Zmijewski, 1979; Watts, 2003). In order to verify the impact of political cost on fair value choice, we adopt the ? m size as an independent variable. The size per se has been mentioned speci? cally as a criterion for actions against corporations since several studies document that the magnitude of political costs is highly dependent on the size of corporation (Watts and Zimmerman, 1978). Thus, we conjecture that the political costs increase according to the company size; the larger it is the higher are the political costs and the lower is the probability that is advantageous to choose a fair value approach. Accordingly, our research proposition is: H2: The probability of choosing fair value decreases with the size of the ? m. Even in this case, we do not suppose any relationship between political costs and the choice of historical cost with the IFRS1 option, because this option has no impact on pro? t and loss. (2) Information Asymmetry If information asymmetry exists in the speci? c context investigated, managers could choose fair value in order to clearly inform the market about the ‘true’ value of the ? rm. So, under the assumption that disclosure is not equivalent to recognition (Schipper, 2007), a positive association between the choice of the fair value method and information asymmetry is assumed.Fair Value or Cost Model? 469 Many studies (Smith and Watts, 1992; Amir and Lev, 1996) use market-tobook ratio (MTBV) as a proxy for information asymmetry, starting from the intuition that while market value captures the present value of growth opportunities, the book value approximates the value of assets in place. As a result, we posit that MTBV is positively related to information asymmetry and, consequently, positively related to fair value choice. Therefore, we assume: H3a: The probability of choosing fair value increases the more marked is the difference between market value and the book value of equity.We could also develop a concurrent hypothesis to H3a, on the basis that, in this case, the choice of historical cost with IFRS1 option, in? uencing equity, could be a ‘partial’ substitute of fair value through pro? t and loss. Thus, we expect a positive association between the choice of historical cost with IFRS1 option and information asymmetry, as measured by MTBV ratio. H3b: The probability of choosing historical cost with IFRS1 option increases the more marked is the difference between market value and book value of equity. (3) Managerial OpportunismFrom the theory we derive t hat managerial opportunistic accounting behaviour is demonstrated by income smoothing practices (Barth et al. , 1999; He? in et al. , 2002; Graham et al. , 2005) and we thus suppose that fair value through pro? t and loss with its volatile changes contrasts smoothing policies. So, a negative association between fair value choice and pre-IFRS earnings smoothing is expected. Hence: H4: The probability of choosing fair value decreases if managers reduce the variability of reported earnings using accruals.We do not suppose any relationship between managerial opportunism estimated by earnings smoothing and the choice of historical cost with IFRS1 revaluation, because this option has no impact on pro? t and loss. 5. Research Design Empirical Model and Variable De? nitions Two statistical procedures are used in our analysis: (i) the non-parametric Mann – Whitney two-sample rank-sum test is used to analyse the difference in explanatory variables between the group of ? rms that have a dopted the fair value model or cost model with the IFRS1 revaluation and the group that have chosen the cost 470A. Quagli and F. Avallone model (the cost group has been taken as a referent category). Additionally, (ii) we use a multinomial logistic regression model (MNL) to test the relationship between the ? rm accounting choice for investment properties and the hypothesized explanatory variables. Under the multinomial logistic model with three outcome categories (0, 1 and 2), p covariates and a constant term (b) denoted by the vector x, two logit functions are described as follows (Hosmer and Lemeshow, 2000): g1 (x) = ln[P(Y = 1| x)/P(Y = 0| x)] = b10 + b11 X1 + b12 X2 + . . . + b1p Xp (1) and 2 (x) = ln[P(Y = 2| x)/P(Y = 0| x)] = b20 + b21 X1 + b22 X2 + . . . + b2p Xp . (2) It follows that the conditional probabilities of each outcome category given the covariate vector are: P(Y = 0| x) = 1/1 + eg1 (x) + eg2 (x) P(Y = 1| x) = eg1 (x) /1 + eg1 (x) + eg2 (x) (3) P(Y = 2| x) = eg2 ( x) /1 + eg1 (x) + eg2 (x) . Our model assumes the choice to use historical cost without revaluating as the referent or baseline outcome category to compare (Y ? 0), and forms logits comparing the choice to use historical cost with the IFRS1 revaluation of investment properties (Y ? 1) and fair value choice (Y ? 2) to it.Furthermore, the model assumes the following relation between the proposed explanatory variables and the fair value accounting choice: ln[P(Y = FV| x)/P(Y = COST| x)] = b0 + b1 LEV + b2 SIZE + b3 MTBV + b4 SM + b5 CNT + b6 EPRA + b7 ACT + 1 (4) where b ? CHOICEi ? bFV; dependent variable equal to 2 if the ? rm i adopts fair value model under IAS 40 in ? rst-time adoption (FTA), 1 if ? rm i adopts the historical cost and uses IFRS1 to revalue investment properties and 0 if the ? rm i adopts the historical cost without revaluating; Fair Value or Cost Model? LEVi ? SIZEi MTBVi ? ? SMij ? CNTi ? EPRA ? ACT ? 471 he average debt to asset ratio for ? rm i, measured over tw o years before FTA; log of the average total asset over the two years before FTA; market-to-book value of ? rm i calculated over the last month of the FTA year since the market is in? uenced by the IFRS immediately after the FTA year; dummy variable coded 1 if ? rm i has an earnings smoothing index . the average index of earnings smoothing in country j (? rm’s country of domicile) and 0 otherwise; dummy variable coded 1 if ? rm i has an external market capitalization on GNP . the average external market capitalization on GNP for his legal country of origin (from La Porta et al. 1997) and 0 otherwise; dummy variable coded 1 if ? rm i is a member of the European Public Real Estate Association (EPRA) and 0 otherwise; ratio between total rents and total operating income estimated over the ? scal year preceding the IFRS mandatory adoption. Following Leuz et al. (2003) and Burgstahler et al. (2006) our proxy to capture earnings smoothing policies in the pre-IFRS period is computed as the ratio of the standard deviation of operating income divided by the standard deviation of cash ? ow from the operation, both measures being computed over the four years before IFRS mandatory adoption.The ratio is then multiplied by 2 1 so that higher values are associated with higher earnings smoothing policies. Moreover, in order to capture the real signi? cance of the smoothing ratio (only values around zero denote strong earnings smoothing activities but the more the values decrease the more the smoothing signi? cance disappears), in our analysis for each ? rm we only measure the distance from the average value of the same ratio for the country of origin as measured in Burgstahler et al. (2006). So, the resulting dummy variable is equal to 1 if the ? m has an earnings smoothing index higher than the average index estimated for the country of origin and 0 otherwise. This procedure enables us to capture the peculiarity of each country due to the different local GAAP adopted b efore IFRS (Leuz et al. , 2003; Burgstahler et al. , 2006). We control for three variables we conjecture to affect the fair value choice by including them as independent variables in the model. Controlling for both the country of origin and the EPRA (European Public Real Estate Association) membership allows us to include two exogenous factors that could affect the fair value choice.The former factor is considered because the differences in the nature of ? nancial systems around Europe are innate factors for international divergences in accounting (Nobes, 1998), thus in? uencing the fair value choice as well. The 472 A. Quagli and F. Avallone latter factor is considered because the EPRA’s Best Practices Committee encouraged the members to adopt fair value accounting to enhance uniformity, comparability and transparency of ? nancial reporting by real estate companies (EPRA, 2006). Additionally, it makes sense to control for the ? m activity since the business segments within t he real estate industry could be considerably different (long-term investments, trading activity, development or services). With reference to the country (CNT), we do not use the distinction between Code Law Countries and Common Law Countries (Ball et al. , 2000), because our sample is entirely made up of Code Law Countries. Since accounting practices usually adhere to ? nancing systems (systems based on banks are generally more conservative than systems based on markets), we decided to capture the country effect with the level of ? ancial market development. So, following Nobes (1998), we theoretically classify countries included in our sample in two groups: countries where the role of ? nancial markets is more developed (capital market-based systems) and countries where ? nancial markets are less developed (credit-based systems). We can assume that the adoption of the fair value method should be easier in capital market based systems, where the indirect cost of information product ion should be lower and the more developed market could better appreciate the informative content of fair value estimates. In order to summarize ? ancial market development, we use the same variable and values as in La Porta et al. (1997). Speci? cally, we ? rstly computed the ratio of stock market capitalization held by minorities to gross national product. Hence, the higher ratio value is associated with highly diffused equity and, as a consequence, with more ? nancially developed markets. Therefore, we adopt a dummy variable coded 1 if the ? rm has an external market capitalization on GNP higher than the average external market capitalization on GNP for its legal country of origin (from La Porta et al. , 1997) and 0 otherwise.The stock market capitalization held by minorities is computed as the product of the aggregate stock market capitalization and the average percentage of common shares not owned by the top three shareholders in the 10 largest non-? nancial, privately owned do mestic ? rms in a given country. The lack of availability of certain data forced us to use the same values estimated by La Porta et al. With reference to the EPRA membership, we only use a dummy variable (EPRA) that takes a value of 1 for ? rms that are EPRA members and 0 otherwise. Lastly, we control for ? rm activity (ACT).Particularly, since real estate companies could operate in many businesses (renting out investment properties, services, trading of investment properties and development), we use a variable to discriminate the ? rms which generally rent out investment properties from ? rms that operate in trading, services and development. Thus, we use the ratio between total rents and total operating income as a proxy of ? rm activity. So, the high values of the ratio suggest that the renting activity may be considered the company’s core business while low values of the ratio express the opposite.Both rents and total operating income are hand-collected from ? nancial sta tements for the ? scal year preceding the IFRS mandatory adoption and the latter Fair Value or Cost Model? 473 has been computed as the sum of rents, services, realized gains/losses on investment property sales and other operating revenues. In terms of empirical predictions, we conjecture a positive relationship between the fair value choice (CHOICE) and both ? nancial market development (CNT) and EPRA membership (EPRA). The present work makes no prediction with respect to the other control variable (ACT).Table 1, Panel A presents the proxies used for independent variables and the predicted sign of each relation between covariates and fair value choice for investment properties under IAS 40. Moreover, Table 1, Panel B only shows the relations between independent variables and the choice to use historical cost with IFRS1 revaluation, if theoretically signi? cant. Sample and Data Our study focuses on a sample of real estate ? rms from countries where a systematic use of fair value mod el was not allowed for investment property assets by pre-IFRS domestic GAAP.A sample of 76 companies was selected from a population of 216 European real estate companies listed in their own country of origin in December 2007 in the following stock markets: Finland, France, Germany, Greece, Italy, Spain and Sweden. In December 2007, the Datastream International database revealed 216 real estate ? rms from the countries that were analysed (235 items, of which 19 were paid rights, preferred share, etc. ). This sample was then screened against a set of conditions: (i) the availability of the full version of the ? rst ? ancial statement complying with IFRS, obtained from the corporate website or via a speci? c request to Investor Relators, (ii) investment property assets on the balance sheet (as de? ned by IAS 40) not equal to zero, and (iii) the full data availability in the Datastream International database. Of the original 216 ? rms, 40 had neither website nor IR contact, 26 had ? nan cial statements not complying with IFRS in the period of analysis (2005– 2007), 7 had no investment properties, 27 failed to respond and 40 ? rms did not have complete availability of data in ? nancial statements or in the Datastream database.Thus, only 76 ? rms had suf? cient information for the above-mentioned explanatory variables to be included in the sample. Table 2, Panel A shows the sample selection procedure. The described procedure clearly illustrates that our sample consists of the maximum number of companies for which it is possible to obtain suf? cient information for the analysis, starting from the initial number of companies identi? ed in the database (N ? 216). Nevertheless, our analysis could have introduced a selection bias if an association between ? rms’ disclosure policies (e. g. assuring the availability of the full ? ancial statement on the corporate website or replying to a speci? c request) and the accounting choice had existed. In order to remo ve any doubts, we test whether there is a difference in drivers of choice used in our analysis between ? rms that provide an annual report or disclose it 474 A. Quagli and F. Avallone Table 1. Proxies and predicted signs for explanatory variables. The variables are grouped according to the main hypotheses for fair value choice and for the choice to use historical cost with IFRS1 revaluation Hypotheses Predicted sign Proxies Explanatory variables Panel A: explanatory variables and fair value choice 1) Contractual ef? ciency The probability of choosing (H1) 2 Debt/asset LEV fair value model decreases (leverage) with higher leverage The probability of choosing (H2) 2 Log of total asset SIZE fair value model decreases with the size (2) Information asymmetry The probability of choosing (H3a) + Market-to-book MTBV the fair value model value increases the higher is information asymmetry (3) Managerial opportunism The probability of choosing (H4) 2 Earning SM the fair value model Smoothing decreases with the extent to Index (dummy which corporate insiders variable) reduce the variability of eported earnings (earnings smoothing) (4) Control variables Firm’s country of origin + External cap/ CNT (? nancial markets GNP (dummy development) variable) EPRA members (European + Yes/no (dummy EPRA Public Real Estate variable) Association) Firm activity ? Total rents/total ACT operating income Panel B: explanatory variables and historical cost with the IFRS1 option (2) Information asymmetry The probability of choosing (H3b) + Market-to-book MTBV the historical cost with value IFRS1 option increases the higher is the information asymmetry after request (the sample) and those that do not.Of course, we could only test the difference between the variables we collected from the Datastream database because we do not have access to the ? nancial statements of non-disclosing ? rm. Thus, we do not control if a difference exists in ? rm activity (ACT) between sampled and non-sampl ed ? rms. Fair Value or Cost Model? 475 Table 2 . Sample selection procedure and breakdown by country Number Panel A: sample selection procedure European Real Estate Firms listed in their own country of origin in December 2007 in the following stock markets (source: Datastream): Finland, France,Germany, Greece, Italy, Spain and Sweden (countries where systematic revaluation of investment properties was not allowed before the IFRS adoption) Excluding the ? rms: – not reporting under IAS/IFRS in the period of analysis (2005– 2007) – with no investment property assets (or with investment properties equal to zero) – with neither website nor IR contact – failing to respond – with insuf? cient data to estimate equation (3) (in ?nancial statements or in Datastream database) Per cent 216 100% 2 26 12% 27 3% 2 40 2 27 2 40 18. 5% 13% 18. 5% Final sample 76 35% Panel B: breakdown of sampled ? ms by country and the number (percentage) of companies sele cting fair value, cost with the IFRS1 revaluation or cost method Country No. of sampled Weight Fair value Cost with the Cost (%) companies (%) (%) IFRS1 (%) Finland France Germany Greece Italy Spain Sweden Total 4 26 22 4 8 4 8 76 5 34 29 5 11 5 11 100 4 (100) 11 (42) 12 (55) 3 (75) 2 (25) 0 (0) 8 (100) 0 (0) 4 (16) 4 (18) 1 (25) 1 (12) 3 (75) 0 (0) 0 (0) 11 (42) 6 (27) 0 (0) 5 (63) 1 (25) 0 (0) Panel B shows the breakdown by country of the sample and the proportion of companies that select fair value, cost with IFRS1 revaluation or cost method without revaluating in each country.We considered companies listed in: Helsinki (Finland), Paris (France), Frankfurt and Munich (Germany), Athens (Greece), Milan (Italy), Madrid (Spain) and Stockholm (Sweden). Of the original 67 non-disclosing ? rms (which have neither website nor IR contact or failed to respond), 34 ? rms did not have complete data availability on the Datastream database. Thus, only 33 ? rms had suf? cient information to be included in the test. For non-disclosing ? rms, we collected data using the same rules as applied in the sample and considering 2005 as a reference date unless companies were still not listed.In that case the reference date has been considered as the listing year. The results show that disclosing ? rms (the sample) are not statistically different from the non-disclosing ? rms in terms of the explanatory variables we selected except for the size ( p-value of 0. 000). 476 A. Quagli and F. Avallone This result is consistent with the literature that shows disclosure levels are usually positively correlated with ? rm size because of the decrease in the cost of disclosure (Lang and Lundholm, 1993). However, we keep the variable in the analysis for two reasons. Firstly, the ? m size (our proxy for political costs) could have both a possible negative relationship with fair value choice and a positive relationship with earnings smoothing (Watts and Zimmerman, 1978). If we do not include the ? rm size in the analysis, a signi? cant negative relation between earnings smoothing and fair value choice could be observed even if the size were the true explanatory variable. Secondly, even if a difference between sampled ? rms and non-disclosing ? rms exists in terms of size, summary statistics show a deviation in size within the sample that does not affect the results of the analysis.With reference to the control variables, among the non-sampled ? rms only one company is an EPRA member. This is an expected result because the EPRA’s objective is to establish best practices in reporting and to provide high-quality information to investors. The result, however, does not introduce a selection bias in the analysis because the sample is made of both EPRA’s members (34 ? rms, around 45% of the sample) and companies that are not (42 companies, 55% of the sample). For these reasons, the results validate our sample and suggest that the sample selection did not introduce a bias into the analysis.We relied on two sources for obtaining data for tests: (i) the ? rst ? nancial statement compliant with IFRS and (ii) the Datastream database. The former source enables us to verify the ? rms’ fair value or cost method choice for investment properties (IAS 40), the choice of ‘fair value as deemed cost’ under IFRS1 and to hand-collect from notes the portion of revenue that is a result of rental activities. The latter source provides all the accounting and non-accounting data we need to de? ne the other explanatory and control variables.Non-accounting data includes market-to-book ratio while the accounting data consists of leverage (debt to asset ratio), total asset, operating income and cash ? ow from the operation (the last two accounting numbers have been used to estimate the earnings smoothing ratio) and the revenues that come from rents. Since the aim of this study is to ? nd out why fair value might be preferred to cost under IAS 40, we have commonly used data which is not in? uenced by the choice. In order to make sense of this key assumption, we referred to different periods for market records and information collected from ? ancial statements when collecting data. Market data refers to the end of the FTA year because the market is in? uenced by IFRS immediately after the FTA year. In other words, immediately after the FTA ? nancial data under IFRS is actually disclosed in ? nancial statements (which explains why the market-to-book value is collected during the last month of the ? rst-time adoption ? scal year). Financial data was collected over the two ? scal years before the FTA. Two years of ? nancial data rather than one year is considered to be more representative of a ? rm’s general characteristics and, in particular, able to reduce the effectsFair Value or Cost Model? 477 that might occur from any unusual or abnormal data from a single year. Only the earnings smoothing ratio required a longer perio d of time; we used a four-year time period before the FTA for both operating income and cash ? ow from operation in order to estimate the related standard deviations. These two values were then compared to detect any earnings smoothing propensity. Financial information about the Swedish ? rms is converted into euros on the date of download from Datastream. Market data was automatically converted by the Datastream database. 6. Analysis of Results Summary StatisticsTable 2, Panel B shows the sample by country breakdown and displays both the number and the proportion of companies that select fair value, fair value with IFRS1 or cost model, respectively, in each country. At ? rst glance, Table 2, Panel B seems to reveal some national patterns in explaining the selection between fair value, historical cost with IFRS1 and cost model without revaluating investment properties. Despite the relatively small number of companies selected in some countries, it has still been possible to observe that companies from Finland, Greece and Sweden are extremely prone to adopting the fair value method.Conversely, Italian companies seem to prefer historical cost without revaluating, Spanish companies have a preference for historical cost with the IFRS1 choice to revalue investment properties, while companies from France and Germany, the main countries in our study in terms of number of companies examined, do not show an a priori preference. Thus, the results justify our choice to control for a country variable through the multivariate analysis. Table 3 presents summary statistics for the full sample of 76 ? rms.It should be noted that the two variables, market-to-book value (MTBV) and leverage (LEV), give rise to outlying observations implied by the values in the minimum and maximum columns of the table. One ? rm in particular had problematic values of both MTBV (value below zero) and LEV (value above one), due to a negative book value and this observation was removed from the anal ysis. Additionally, we isolate the outlying observations by means of the three sigma (standard deviation) rule (Barnett and Lewis, 1994), thus separating companies which have x ? m(x) ? 3s(x) (5) where s(x) is the standard deviation of the variable (x).To remove the possible effects of the outliers on the results, we present both the nonparametric analysis and the multinomial logistic regression excluding these values (N ? 73). 478 Variable Explanatory variables: LEV SIZE MTBV SM Control variables: CNT EPRA ACT Mean Std. dev. Minimum Q1 Median Q3 Maximum 0. 5881 12. 7876 1. 4739 0. 3684 0. 2802 1. 6774 1. 1350 0. 4855 0 8. 2765 2 0. 17 0 0. 4829 11. 9451 0. 965 0 0. 6015 12. 9058 1. 3 0 0. 7235 13. 9800 1. 615 1 2. 07 16. 6882 8. 94 1 0. 4736 0. 4473 0. 4999 0. 5026 0. 5005 0. 3492 0 0 0. 1834 0 0 0. 4551 1 1 0. 7778 0 0 0 1 1 1 LEV ? leverage; SIZE ? og of total asset; MTBV ? market-to-book value; SM ? earnings smoothing (dummy); CNT ? ?nancial market development (dummy); EPRA ? EP RA member (dummy); ACT ? ?rm activity. A. Quagli and F. Avallone Table 3. Summary statistics of explanatory variables for sampled ? rms (n ? 76) Fair Value or Cost Model? 479 Nonparametric Mann – Whitney Test To begin by analysing the characteristics of the ? rms that adopt the fair value method or the historical cost with the IFRS1 revaluation in comparison to those that adopt the historical cost without revaluation, we use a Mann–Whitney twosample rank-sum test.In view of the small size of the three groups, a nonparametric alternative to a conventional t-test is justi? ed because of the less challenging assumptions it requires, although this test has some limitations of its own, including being somewhat less powerful than the t-test. Table 4 shows evident differences across our independent variables, some of which appear statistically signi? cant. Consistent with the information asymmetry hypothesis (H3a), the output shows that there is a statistically signi? cant di fference in MTBV between real estate ? ms that choose the fair value method and real estate ? rms that adopt historical cost without revaluation (difference signi? cant at 0. 000 level). The analysis of both means and median for fair value and cost groups makes the direction of the difference clear (for the fair value group, a mean of 1. 203 and a median of 1. 11 against 1. 775 and 1. 49 for the cost group). The output exhibits a negative relation between the MTBV and the fair value choice, contrary to the prediction derived by the traditional meaning of MTBV as proxy for information asymmetry.In fact, the usual interpretation of high MTBV ratios as a signal of information asymmetry is based on the existence of growth options well known by managers, not revealed by accounting rules and, consequently, not identi? ed by investors. In theory, more growth options for high-tech ? rms in particular, are supposed as a consequence of a large bulk of intangibles whose recognition in ? nancia l statements is not allowed, even though investors can estimate their importance (Smith and Watts, 1992; Amir and Lev, 1996).However, in the real estate industry the relevance of intangibles seems less important than in high-tech ? rms. The main assets are investment properties, whose fair value could be easily estimated by ? nancial analysts. In this context, the meaning of high MTBV ratios might be in direct con? ict with the original intuition. In the cost accounting systems before IFRS adoption, higher values of MTBV ratios revealed growth opportunities associated with a fair estimation of investment properties and therefore with a lower information asymmetry. Conversely, lower MTBV ratios for real estate ? ms adopting the cost method could feasibly be the effect of information asymmetries on investment properties value and managers could prefer to use fair value method to reduce these asymmetries. In more precise terms, under the assumption that disclosure is not equivalent to recognition (Schipper, 2007), lower MTBV ratios estimated before the IFRS adoption for real estate ? rms adopting historical cost should be the result of information asymmetries on investment properties value. Thus, lower MTBV ratios could justify the managers’ preference to the fair value method in order to reduce the asymmetries.This reasoning makes it possible to demonstrate the validity of the hypothesis (H3a), even if the sign of the variable is opposite to the traditional interpretation of the relationship between MTBV and information asymmetry. 480 A. Quagli and F. Avallone Table 4. Mann– Whitney two-sample rank-sum test. Fair Value Group vs. Cost Group (NFV ? 38; NCOST ? 16) and Cost with IFRS1 revaluation vs. Cost Group (NIFRS1 ? 19; NCOST ? 16) Group Explanatory variables: LEV SIZE MTBV SM Control variables: CNT EPRA ACT Z-Statistics Pr . |Z| FV vs. COST IFRS_1 vs. COST FV vs. COST IFRS_1 vs. COST FV vs. COST IFRS_1 vs. COST FV vs. COSTIFRS_1 vs. COST 2 0. 11 4 1. 192 0. 682 0. 762 3. 543 1. 258 0. 814 2 1. 185 0. 909 0. 233 0. 495 0. 446 0. 000 0. 208 0. 415 0. 235 FV vs. COST IFRS_1 vs. COST FV vs. COST IFRS_1 vs. COST FV vs. COST IFRS_1 vs. COST 2 2. 018 2 1. 931 2 1. 007 0. 040 2 3. 523 2 0. 364 0. 043 0. 053? 0. 314 0. 968 0. 000 0. 715 This table presents the Mann–Whitney two-sample rank-sum test for both explanatory and control variables. ? , and indicate statistical signi? cance at less than 10%, 5% and 1% level, respectively. The sample (excluding the outliers) comprises 73 companies from seven countries, split into three groups: ? ms that adopt the fair value model (NFV ? 38), ? rms that choose the historical cost and use the IFRS1 option to revalue investment properties (NIFRS1 ? 19) and ? rms that adopt the cost model without revaluating (NCOST ? 16) for investment properties under IAS 40. LEV ? leverage; SIZE ? log of total asset; MTBV ? market-to-book value; SM ? earnings smoothing (dummy); CNT ? ?nancial market de velopment (dummy); EPRA ? EPRA member (dummy); ACT ? ?rm activity. Furthermore, both the ? nancial market development (CNT) and the ? rm activity (ACT) appear statistically signi? ant as well, with a difference signi? cant at 0. 043 and 0. 000 levels, respectively. The analysis of the means and median for CNT (mean of 0. 5526 and median of 1 for the fair value group against a mean of 0. 25 and median of 0 for the cost group) also shows a direction for the difference consistent with our assumption. Particularly, more developed ? nancial markets (estimated as in La Porta et al. , 1997) with the ratio of stock market capitalization held by minorities to GNP) seem to facilitate the adoption of fair value. Hence, the companies from countries where the role of ? ancial markets is more developed (capital market based systems) appear to view the fair value method more favourably than companies from countries where the markets are less developed (credit-based systems). With respect to the ? rm activity (ACT), we made no prediction of the sign. Both the output and the analysis of the mean and the median (mean of 0. 6558 and median of 0. 7507 for the fair value group against a mean of 0. 3005 and median of 0. 2756 for the cost group) show a positive direction of the difference. The result suggests that the predominant activity of the ? rms that choose the fairFair Value or Cost Model? 481 value model seems to be investment properties’ rental instead of other activities such as development and trading. Renting out properties implies a longer time period than other activities like development or trading, where assets would typically be sold in a shorter time. Thus, we could interpret the relation with fair value choice as the ? rms need to show the market value of their properties on the balance sheet when their realization will be in a longer time (rental activity). This would reduce the information asymmetry otherwise existing if properties were evaluated at cost. Conversely, when the business is more concentrated on development and trading, the need for fair value recognition is less strong, due to a shorter time horizon for the realization of these assets. Further explanatory variables, such as leverage (LEV), dimension (SIZE) and earnings smoothing (SM), appear not to be signi? cant in the univariate analysis. However, even if not signi? cant it seems interesting to highlight that for both the size (SIZE) and the earnings smoothing (SM) the analysis of the mean and median reveals differences coherent with our research proposition, hence larger size and earnings smoothing for ? ms adopting historical cost (for size, mean of 12. 781 and median of 12. 905 for the fair value group against mean of 13. 167 and median of 12. 932 for the cost group; for earnings smoothing, mean of 0. 263 and median of 0 for the fair value group against mean of 0. 375 and median of 0 for the cost group). Except for the ? nancial market development (CNT), neither ex planatory nor control variables seem to explain the managers’ choice to adopt the historical cost with the IFRS1 option to revalue investment properties rather than opting for historical cost without revaluation.As for fair value choice, the analysis of the means and median for CNT (mean of 0. 578 and median of 1 for the IFRS1 group against a mean of 0. 25 and median of 0 for the cost group) shows a direction for the difference consistent with the idea that in countries where the role of ? nancial markets is more developed (capital market based systems), companies seem to view the revaluation of investment properties allowed by IFRS1 more favourably than in countries where the markets are less developed (creditbased systems). Multivariate AnalysisBefore presenting the results of the multinomial logistic regression, we report the Spearman (rank) correlation coef? cients for the variables (Table 5). Considering the following multinomial logistic regression analysis, the depende nt variable has been split into three variables: (i) CHOICE, equal to 0 if companies adopt the historical cost, 1 if companies adopt the historical cost with the IFRS1 revaluation and 2 if ? rms embrace the fair value; (ii) FV vs. COST that only regards as fair value choice (Y ? 1) and historical cost (Y ? 0) and (iii) IFRS1 vs.COST that only takes into account the choice to adopt historical cost with the IFRS1 revaluation (Y ? 1) and the historical cost (Y ? 0). With reference to the dependent variable, Table 5 con? rms the previous univariate 482 Variables CHOICE FV vs. COST IFRS1 vs. COST LEV SIZE MTBV SM CNT EPRA ACT CHOICE – – – 0. 0552 2 0. 0620 2 0. 4343 2 0. 1728 0. 1890 0. 1462 0. 4707 FV vs. COST IFRS1 vs. COST – – 0. 0122 2 0. 0978 2 0. 4745 2 0. 0983 0. 2499? 0. 1356 0. 472 – 2 0. 2045 2 0. 1306 2 0. 2131 0. 2033 0. 3311? 2 0. 0068 0. 0625 LEV SIZE – 0. 1780 0. 1657 2 0. 1818 2 0. 312 0. 0895 2 0. 1136 – 0. 0915 0. 0781 0. 2874 0. 3638 0. 0239 MTBV SM CNT EPRA ACT – 0. 0633 – 2 0. 0826 0. 2091? – 0. 1176 0. 2734 0. 0400 – 2 0. 2627 2 0. 0525 0. 4447 0. 1659 – This table provides Spearman (rank) correlation matrix for both explanatory and dependent variables. Considering the following multinomial logistic regression analysis, dependent variable has been split into three variables: CHOICE, equal to 0 if companies adopt historical cost, 1 if companies adopt historical cost with the IFRS1 revaluation and 2 if ? rms adopt the fair value; FV vs.COST that only regards the fair value choice (1) and the historical cost (0) and IFRS1 vs. COST that only takes into account the choice to adopt the historical cost with IFRS1 revaluation (1) and the historical cost (0). Values indicated in bold show statistically signi? cant relationship between variables. ? , and indicate statistical signi? cance at less than 10%, 5% and 1% levels, respectively (two-tailed). Pearson corr elation shows similar results. LEV ? leverage; SIZE ? log of total asset; MTBV ? market-to-book value; SM ? earnings smoothing (dummy); CNT ? ?nancial market development (dummy); EPRA ?EPRA member (dummy); ACT ? ?rm activity. A. Quagli and F. Avallone Table 5. Spearman (rank) correlation matrix Table 6. Multinomial logistic regression results Panel A: model summary – goodness of ? t Number of obs. ? 73 LR chi2 (14) ? 41. 81 Prob . chi2 ? 0. 0001 Pseudo-R2 ? 0. 2799 Log-likelihood ? 2 53. 766523 Panel B: estimated coef? cients Variable Hypothesis 1 LEV SIZE MTBV SM CNT EPRA ACT Constant LEV SIZE MTBV SM CNT EPRA ACT Constant – – (H3b) – – – – 2 (H1) (H2) (H3a) (H4) Predicted sign + 2 2 + 2 + + ? Coeff. 2 0. 6117228 2 0. 4409383 2 0. 6115429 0. 2741504 1. 900273 0. 8488012 2 0. 708886 6. 279216 1. 734055 2 0. 6789767 2 1. 662586 2 1. 692808 1. 510263 2. 449269 2. 263975 8. 836272 Std. err. 1. 681102 0. 2748586 0. 5957133 0. 8804852 0. 9 408805 1. 124734 1. 421061 3. 866769 1. 715306 0. 289514 0. 6609104 0. 9636362 0. 949826 1. 124299 1. 353768 3. 969725 z 2 0. 36 2 1. 60 2 1. 03 0. 31 2. 02 0. 75 2 0. 68 1. 62 1. 01 2 2. 35 2 2. 52 2 1. 76 1. 59 2. 18 1. 67 2. 23 P . |z| 0. 716 0. 109 0. 305 0. 756 0. 043 0. 450 0. 494 0. 104 0. 312 0. 019 0. 012 0. 079? 0. 112 0. 029 0. 094? 0. 026 95% conf. interval 2 3. 906621 2 0. 9796511 2 1. 779119 2 1. 451569 0. 0561811 1. 355637 2 3. 756117 2 1. 299512 2 1. 627883 2 1. 246414 2 2. 957947 2 3. 5815 2 0. 3513614 0. 2456834 2 0. 3893613 1. 055755 2. 683176 0. 0977746 0. 5560336 1. 99987 3. 744365 3. 053239 1. 81434 13. 85794 5. 095992 2 0. 1115397 2 0. 3672257 0. 1958842 3. 371888 4. 652855 4. 91731 16. 61679 483 (Continued ) Fair Value or Cost Model? LOGIT 484 Panel C: estimated odds ratios LOGIT Variable Odds ratio 1 LEV SIZE MTBV SM CNT EPRA ACT LEV SIZE MTBV SM CNT EPRA ACT 0. 5424156 0. 6434324 0. 5425132 1. 315413 6. 68772 2. 336844 0. 3787464 5. 663571 0. 5071357 0. 189 6479 0. 1840021 4. 527923 11. 57988 . 621254 2 Std. err. 0. 9118557 0. 1768529 0. 3231823 1. 158201 6. 292345 2. 628327 0. 5382217 9. 714756 0. 1468229 0. 1253403 0. 1773111 4. 300739 13. 01925 13. 02494 z 2 0. 36 2 1. 60 2 1. 03 0. 31 2. 02 0. 75 2 0. 68 1. 01 2 2. 35 2 2. 52 2 1. 76 1. 59 2. 18 1. 67 P . |z| 0. 716 0. 109 0. 305 0. 756 0. 043 0. 450 0. 494 0. 312 0. 019 0. 012 0. 079? 0. 112 0. 029 0. 094? 95% conf. interval 0. 0201083 0. 3754421 0. 1687867 0. 2342026 1. 057789 0. 2577831 0. 0233743 0. 1963449 0. 2875341 0. 0519254 0. 0278339 0. 7037294 1. 278495 0. 6774894 14. 63149 1. 102714 1. 743742 7. 388093 42. 8214 21. 18385 6. 137025 163. 3658 0. 8944559 0. 6926533 1. 216386 29. 13348 104. 884 136. 6346 Choice ? 0 (historical cost) is the base outcome. This table presents coef? cients/odds ratios from multinomial logistic regression (MLN). Our model assumes the choice to use the historical cost without revaluating as the baseline outcome category to compare (Y ? 0), and fo rms logits comparing the choice to use the historical cost with the IFRS1 revaluation of investment properties (Y ? 1) and their fair value choice (Y ? 2) to it. We present Wald statistics, log-likelihood and McFadden pseudo-R2. , and indicate signi? cance at less than 10%, 5% and 1% level, respectively. LEV ? leverage; SIZE ? log of total asset; MTBV ? market-to-book value; SM ? earnings smoothing (dummy); CNT ? ?nancial market development (dummy); EPRA ? EPRA member (dummy); ACT ? ?rm activity. A. Quagli and F. Avallone Table 6. Continued Fair Value or Cost Model? 485 analysis results. Our proxy for information asymmetry, the market-to book ratio (MTBV), has a strong negative association with fair value choice, thus discriminating the fair value model group from the cost model group.The result con? rms the above-mentioned interpretation of this sign. Furthermore, both the ? nancial market development (CNT) and the ? rm main business (ACT) condition the choice as well. Conversely , the choice to adopt the historical cost with IFRS1 revaluation is not accounted for by the explanatory variables except for the ? nancial market development (CNT). With reference to independent variables, Table 5 shows that some statistically signi? cant

Jane Austen Essay Example | Topics and Well Written Essays - 2000 words

Jane Austen - Essay Example In the society in which Jane lived, the only aspiration of a young girl is to get married. So Jane Austen selects the theme of marriage in all her novels. Even Emma ends in the celebration of three marriages. Jane Austen's novels are called drawing room novels. Emma is a typical drawing room novel. Almost all incidents in the novel take a place in the drawing room of Emma. Emma Woodhouse is the daughter of a valetudinarian. Her governess Miss Taylor assumes the role of a guide and friend to her in moments of loneliness. Jane Austen's 1816 novel, Emma reflects the detail of nineteenth century England and therefore the values of the context in which it was written. The setting of Emma is that of the world in which Austen lived. The text explores the themes and values of romance and marriage, social order, feminism and moral dimension. Austen has employed several techniques in order to convey these, such as literary context and social microcosm, satire and a number of narrative techniqu es. Austen provides exploits the contrast between how things seem to be and how they really are through these literary techniques. Austen typically writes novels that focus on social conventions. Her societies demonstrate these conventions are collapsing as the world is evolving and that what people believe to be conventional is really eroding. Characters of fortune and education who speak in accordance with the rules of pragmatics and social decorum are, in turn, rewarded through matrimonial bonds with characters of similar communicative merit. Gubar notes, â€Å"There is always the sense too that we owe to her narrator's art the significance with which such scenes are invested:

Impact of Financial Crisis on the Role of the Labor Union Movement in Essay

Impact of Financial Crisis on the Role of the Labor Union Movement in the US - Essay Example It is generally agreed that due to union partnership, wages are often driven up and those who are members of the labor unions tend to benefit more from the labor unions as compared to the workers who are not the members of the unions. Due to higher wages, the overall costs are increased and countries lose their overall competitiveness and hence jobs relocate to regions like Asia to provide low cost labor services. The current economic situation is also a glaring example of how higher wages and costs associated with the unions can actually increase the cost for the firms and hence make them less competitive as compared to other countries with little or no union activity. The resources of the firms are already under stress and higher costs therefore can further increase the costs. It is pertinent to note that trade union movement, at the global level, has also transcended itself into a much bigger role. During the initial phase of the current economic recession, global leaders of the d ifferent labor unions actively coordinated with G20 countries to bail out the global economy. This active participation into the overall policy making process therefore suggest that with the advent of the current global crisis, trade unions have also evolved the much bigger role for themselves including the element of policy making. (Russell) There is also a growing demand from different other quarters to suggest that labor unions must play an active part in resolving the economic crisis. As such emphasis has been laid on the role of labor unions as the facilitators of the management in overcoming the economic crisis. This new role of the labor unions therefore suggest that at least in US, the overall role of labor unions is... This essay offers comprehensive review of the Labor Union Movement in the United States in the post-crisis years. The paper outlines the diminishing role of labor unions in the modern economy. The current economic recession in US and other developed countries of the world has resulted into sharp decline in employment level. As such firms are cutting jobs in order to become more competitive and save costs. Rising unemployment therefore has also resulted into the lack of new memberships for the labor unions thus effectively reducing their influence within the organizations. Sharp decline in the output and lack of demand is resulting into lower output produced by the firms. Government is also looking for ways to further streamline and rationalize its expenses. Labor union is considered as an organization of workers wherein workers collectively strive to achieve some common goals such as better pay, improved working conditions and other benefits. The collective bargaining agent role of the labor unions therefore outlines that labor unions have the explicit right to enter into negotiations with the management of the firm to make mutual decisions in order to safeguard the interests of the workers. There have been efforts in some States of US, wherein due to high cost paid to unionized public employees that the union activity in public organizations should be banned. This suggests that there is a huge cry over curtailing the union activity in order to avoid further damage to the pubic as well as private institutions.

Europe and Asia Annotated Bibliography Example | Topics and Well Written Essays - 1500 words

Europe and Asia - Annotated Bibliography Example ecause it portrays the events that have characterized the buildup of the labor party and how its governments have fared on in the last one hundred years. Perhaps as a surprise to many people, Keith actually spells out the fact that initially the labor party was not a political party but as a trade union. Throughout the one hundred years, the labor party has managed to from governments for about four times. The first one according to Keith was in 1924 to the 1931 due to the strong membership of the workers at that time. Through various ups and downs, the party was able to create a huge impact not only Britain but also in the globe more especially when Tony Blair took office in 1997 landslide victory. The writer takes the mind of his readers in a step by step journey through which the party has evolved over time to become what it was at the beginning of 2000. Perhaps other writers can take a cue from Keith to document what has happened to the party since then to date. The writer is a professor of history at the University of Wisconsin with a vast experience in political parties and individuals throughout the world. In this work he looks at various aspects that makes Mao Tse Tung (Mao Zedong) one of the most respected historical figures in Chinese History. In this 222-page read, Meisner also portrays some information about Zedong which are rarely told hence a balanced account of the happenings. The book depicts the early life of this great life by showing the picture of a young man of a poor peasant farmer in Hunan province of china who rose to become a successful politician to the extent of being equated to a cult of a person. His political ideologies that were aimed at balancing the aspects of imperialism and feudalism in both the social and political environment gave him a liking amongst his people. However, this did not come on a silver platter because at one point he is said to have fled the place because of his radical views. As matter of fact, he had

Fire Accidents Due to Electrical Code Violations Essay

Fire Accidents Due to Electrical Code Violations - Essay Example The foremost activities of National Electricity Energy Board encompass electrical installations. It requires immense care procedures to be followed to prevent accidents caused by electricity. Although the electricity codes are followed but some violation of this, results in the fire accidents accounting for 3-4% of annual accidents. On analysis it was theoretically postulated that the causes of these accidents could be eliminated in 90% situations (Comini, R., Pontorieri, L., Fanello, G, 1989). Electrical appliances are designed to carry elated load. The current carrying capacity of every instrument or machine is limited and defined depending upon the size and material of which it is made and also on the type of insulation and manner of installation. If they are compelled to carry loads greater than their capacities they will overheat. The excess current will heat the electrical conductors and a point is reached where they will break causing fire hazard. It first causes the insulation to bur, exposing live parts (Martin and Walters). The fatalities in which electricity according to CFOI and SOII data, shows that 2,287 U.S. workers died and 32,807 workers persistently stayed away from work due to electrical shock or electrical burn injuries between 1992 and 1998 (Cawley, Homace, 2003). Major groups were sorted out to categorize electric fatalities: 1. Industries: OSHA (Occupational Safety and Health Administration) inspected at Progressive processing of Ohio Steel Firms and found OSHA violation. The fatality encompasses entangled employee's clothing in rotating part of the machine. There was not only willful violation of the machine guarding regulatory standards but also found that steel processing firm failed to protect the hearing loss (Smith, S, 2003). 2. Construction Industry: 44% of electrical fatalities occurred in the construction industry (Cawley, Homace, 2003). 3. Overhead power lines caused 41% of all electrical fatalities (Cawley, Homace, 2003). Case: A tree lopper received a fatal electric shock when carrying out vegetation control work from the bucket of an elevated work platform. His pole mounted chain saw contacted 22,000 volt power lines (Electricity related serious accidents and fatalities). 4. Electrical shock caused 99% of fatal and 62% of nonfatal electrical accidents (Cawley, Homace, 2003). Case: An electrical contractor was electrocuted when he mistakenly identified a power circuit cable and isolated the wrong circuit when checking live cable junctions in a roof space (Electricity related serious accidents and fatalities). Case: A person was electrocuted

Impact of Hub Airports on a Community or City Research Paper

Impact of Hub Airports on a Community or City - Research Paper Example The concept of the Hub-and-spokes system was to concentrate traffic to one airport- the major hub from smaller national airports (known as the spokes) or other means of transport, and then the gathered group of passengers would be transported from the major hub to another major hub.† (AviationKnowledge, 2010) In addition to commercial airline hubs, companies such as FedEx, DHL, UPS, and other major carriers of air freight & cargo services may also operate airport hubs to facilitate the efficient delivery of their parcels and goods for transport. Some airports will be integrated commercial and air freight operations, while others will be dedicated and specialized to only one mode of operation dependent on the location. Furthermore, some airport hubs will be operated by a single or limited number of carriers, while other hubs will serve multiple carriers at the same location. Along with these main characteristics, hub airports also impact the local community and cities surroundin g them through: Requiring infrastructure development – hubs are typically larger than other airports and require more land for their operation, along with the building & roads to serve the facility, placing an investment requirement on the community. Jobs and business expansion – airport hubs promote an entire ecosystem of support businesses to serve the people who work in them – these include hotels, restaurants, stores, gas stations, shopping facilities, transportation, etc. Environmental Concerns – hub airports and frequent passenger air jet travel can have significant impact on local environments, including wildlife, air, water, and sound pollution, waste disposal management problems, etc. A step by step overview of the development of a hub airport shows the degree to which the effects of the construction and operation will ripple into the community. At the first stage, there is location, architectural design, and construction of the

Come up with one Essay Example | Topics and Well Written Essays - 500 words - 2

Come up with one - Essay Example The initially presented the basic principles of ethical decision making focusing on autonomy, beneficence, justice and nonmaleficence. Other mini-case scenarios were presented; together with an identification of significant points concerning the concept of advance directives. Then, ethics at end of life situations, particularly, euthanasia were expounded, detailing the three interventions: active, passive and assisted. Other ethical issues that were discussed were research ethics and health care rationing. The information presented from this discourse in beneficial in the current research through the credibility posed by the author as an associate professor of the John Hopkins University and thereby has been exposed and directly involved in addressing ethical issues faced by older patients at the end of life stage. The discourse presented balanced arguments detailing the legality of the issues; considering this as an option for patients in pain; and other reasons for promoting and using euthanasia. The article likewise identified the groups opposing the legalization of euthanasia and assisted suicide as coming from both medical and disability rights groups. The contents of the article are thereby useful for the current research in terms of providing a balanced discourse and presenting updated statistics given the current status of its publication (2011). Other valid and authoritative sites were likewise provided for more information on the subject, as deemed

Recruit Case Study Example | Topics and Well Written Essays - 2000 words

Recruit - Case Study Example The questions are designed to get complete information about the job since sections like background cover requirements such as travel, licensing needs and seasonal changes. The contacts section covers 62 questions on the level of supervision and the level of contacts with employees/clients. Similarly, the physical requirements section cover things like tools which are to be used on the job and other physical activities demanded by the position. Once the questionnaire has been filled, it can be used with reasonable accuracy to judge the type of position and the requirements for the position (HR Guide, 2001). Functional Job Analysis Scales have been used in America since the 1940s to deduce what exactly the requirements are for a particular job. Essentially, this is seen as a representative of what workers do in a job by analyzing the equipment used, the data needed, the people interaction, the instructions given and by analyzing their abilities of reasoning, math and verbal skills. Using these scales it is possible to analyze what the requirements for a cinema manager should be and how the cinema would employ his/her skills for a more efficient delivery of services (HR Guide, 2001). Another method which can be used is the OAI (Occupational Analysis Inventory) that locates and evaluates a person's performance on more than 600 responsibilities and duties which are part of any given job. This inventory looks at the goals of the job, the behaviour of the individual at the job, the mental activities required, the information handled by the person and the context in which the work is done. This inventory is then ranked against the rating scales defined for the task which includes the four elements of extent, application, and functions of the job or specific element of the job. While this method has been applied to many different types of work, it is less reliable then than the PAQ (HR Guide, 2001). The Position Analysis Questionnaire (PAQ) was developed in the 70s as a structured job analysis tool which connects the characteristics of a job to human characteristics found in individuals. The PAQ considers 195 components of work which are divided into five categories to understand where information comes from, the reasoning abilities used by the workers, the output created, relationships with other individuals and the context of the job in social and physical terms (HR Guide, 2001). As discussed earlier, there are several other methods for analyzing the requirements of a job and understanding what kind of individual would be best suited to fill a particular role. Clearly the application of experimentation and scientific analysis to the field of HR has had positive results since these surveys and questionnaires have had better than average success in predicting the requirements for a position in the work force. 2. Job Analysis for Cinema Manager Knowing about the activities of a cinema and the process of running of a cinema

Toyota Recall Essay Example | Topics and Well Written Essays - 500 words

Toyota Recall - Essay Example In the late 1990’s Toyota’s operating profits were as high a 2 trillion yen in China. However, Toyota turned its back on the deficit owing to the financial crisis. The reason for the recall is mainly attributed to the management which was not able to keep up with the increase in sales that in turn affected the quality; while at the same time the scale of the company continued to grow. Before the recall happened a warning was issued to the executives that stated â€Å"If we keep this up, Toyota would be faced with a recall.† The company extended beyond its capacity which worried the executives. And as some factories were built overseas, a large number of the workforce were shifted to the foreign countries. Hence the company had to make several adjustments which led to the decline of quality control (Wook 2010). A possible way by which the company can re-gain the trust of motor vehicle consumers is by investing in commercials that project a good image of the company. It could also consider incorporating other aspects such as quality in the campaign. Cost-effectiveness of Toyota products will be a good step to start with in addition to insistence on durability. The recall is only a beginning and a positive step but however, it does not provide a complete solution to the problem as the technical problem of the pedal is not the main issue. The Toyota Company should be prepared to go the extra mile in order to reassure consumers that it has resumed its core value which is based on quality. It is likely that the problem lies in the lack of coordination between the branches which in turn compromises all its efforts in effective decision making. If it is able to correct these problems the company can hope that the public will forget the unfortunate incidences soon and help it grow. The recall has however had a positive influence on the Toyota brand

Marine General Brute Krulak Essay Example for Free

Marine General Brute Krulak Essay In writing the book First in Fight, the legendry Marine General Brute Krulak has submitted an unparalleled assessment of the US Marines. The book gives details of the fighting on the battlefield as also a detail of the Marine’s life when not at war. He has skillfully blended autobiography with history, analysis with action and separated facts from legend. General Krulak has touched upon the core qualities of the Corps in narrating the implications of being a Marine and the reasons for its outstanding and consistent performance. The general has also addressed the most pertinent and challenging issues regarding the Corps. A thorough analysis has been made about how the Corps manages to survive and to prosper despite the awesome political hurdles and the adversities it has to face in a routine manner. In explaining the unique characteristics of the Corps, General Krulak has delved into the core structure on which it has been built. What emerges is a system that is intensely loyal to God, the country and to other colleagues. A close look has been taken at the war practices of the Marines whereby stimulating details of their actions and experiences have been outlined in regard to World War II and the wars in Vietnam and Korea. Additionally, he has also described the relationship that the Corps enjoys with other services by giving special reference to the battles of unification that were fought in the aftermath of World War II. New insights have been offered in regard to the processes of decision making during times of emergency. First in Fight is a book that makes for appealing reading. It covers details of General Krulack’s personal experiences while he was engaged in the battle for the union of the armed forces. The book also explains very effectively how the entire chain of command of the US Military is set up and managed (Victor H. Krulak, 1999). References Victor H. Krulak, First to Fight: An Inside View of the U. S. Marine Corps, 1999, US Naval Institute Press

Development of attribution theory

Development of attribution theory The Attribution Theory was developed by Fritz Heider, it looks at how people make sense of their world, and how they interpret events and relate them to their thinking and behaviour. The Attribution Theory divides the behaviour attributes into internal and external factors, internal attribution is an attribution that is made by looking at a persons characteristics, such as intelligence or personality, on the other hand external attribution is an attribution that is made when looking at factors outside the persons control, such as bad luck or peer pressure. Psychologists have found from research that people are often biased in their ways of thinking and judgment when deciding who or what is the cause of an event or action. External factors are attributed when others are successful in their goals and we are not, but internal factors are attributed when we are successful in our goals and others fail (Heider, 1958). The correspondent inference theory describes that an attribution is made when a judgement made by one person on another persons behaviour, which has been caused by a particular trait. This suggests that we believe that a persons behaviour is intentional and after identifying this we try to look for a personal characteristic which may have caused this behaviour (Manstead, Hewstone, 1996). According to the correspondent inference theory we can make a correspondent inference based on 2 major factors, the first is when we perceive that the person freely chose the behaviour, and the second is when we perceive that the person intended to do whatever he or she did. An example of correspondent inference is if we see someone beating someone else up, we will assume that they are going this deliberately, not because they are pretending and that they are a violent person by nature. An internal attribution is likely to be made if we think that the behaviour was freely chosen, intended and low in social desirability, an external attribution is more likely to be made if we believe that the behaviour was not freely chosen, unintended and socially desirable, we usually over rate internal attributions and under rate the role of external attributions. The covariation theory believes that people decide that the most likely cause of any behaviour is the factor that occurs as the time as the behaviour. The covariation theory focuses on external attributions in contrast to the correspondent inference theory which focuses on the process of making internal attributions and the factors beyond the person that may be causing the behaviour. According to the covariation theory, to make an attribution 3 pieces of information are needed. The first is consensus information, which informs us of whether other people have had a similar or different reaction when in the same situation. A situational attribution is made if there is a high consensus, which would indicate that others has a similar behavioural reaction, a person attribution is made if there is a low consensus, which would indicate that others had a different behavioural response. The second piece of information needed is distinctiveness information, which describes the situation in whi ch behaviour occurred, and determines whether or not the situation is unique or distinctive which may have caused the behaviour (Bordens Horowitz, 2002). A person attribution is made if the person acts this way in other situations as well as in this particular situation, however if the person does act differently in this situation compared to other situations then a situational attribution is made, and we assume that the behaviour was most likely caused by the situation that the person was in and not by the person themselves. The last piece of information needed is consistency information, which informs us of whether the person has acted this way before or if this is a one-time behaviour. One of the limitations of the covariation theory is that it fails to distinguish between the intentional and unintentional behaviour of a person (Hayes, 2002). Jurors often make internal and external attributions of the defendant and of the victim when declaring their verdicts within the courtroom. In one study researchers found that the jurors verdicts or suspicions of whether or not the defendant was guilty were not influenced by whether the defendant was disabled or not. Those jurors who did think that the defendant was guilty were less likely to convict the defendant if they were described as disabled rather than non-disabled. This tendency occurred because the jurors made fewer internal attributions for the disabled juveniles actions (Najdowski, Bottoms, Vargas Cummens, 2009). One case study investigated the trials in which the defendant was charged with a firearms related offence, it was found that if the accused had intended to use the firearm then they were found guilty by the jurors. This case study shows supports for the correspondent inference theory as the defendant chose and freely intended to use the firearms (Tinsley, 2001). In a film called 12 Angry Men, a young boy is put on trial for the murder of this father, the majority of jurors decide that the boy is guilty. One juror, played by Lee J. Cobb makes internal attributions of the boys behaviour based on the fact that he is from the slums, and believes that the boy must have no respect or sense of morality because of where he is from (Lumet, 1957). A criticism of the correspondent inference theory is that is does not account for fundamental attribution error, which is a term used when people intensify the importance of explanations linked to a persons personality and reduce the importance of explanations linked to the situation which occurred to explain a persons behaviour (Heffner, 2001). In the film 12 Angry Men, evidence used against the boy includes when he is heard shouting at this father Ill kill ya before leaving the house, as the film continues, jurors begin to argue among themselves and Lee J. Cobb is insulted, to which he replies Ill kill ya in anger. This is a good example of fundamental attribution error as Lee J. Cobb was angry in the situation and does not actually mean he is going to kill the other juror. In addition to this another pointed out that if the boy went back to retrieve the knife he must have been guilty and was trying to cover up the evidence, which suggests that if he did kill his father then he intended to do so. It seems that a defendants characteristics have a strong influence on jurors decision making, Dowdle, Gillen and Miller (1974) concluded that significant leniency is applied to defendants who are attributed with positive characteristics by jurors, compared to those who are attributed with negative characteristics (Decaire, 1999). When the juror is provided with previous convictions of the defendant in trial, this can provide them with extra information as well as influence their decision. In one study, researchers investigated the effects of the defendants prior record on mock jurors judgements and found highest conviction rates would occur when the defendant had a prior sentence which was the identical to the charge they were presently being prosecuted for, and lowest conviction rates if the defendant had no past convictions (Wissler Saks, 1985). This shows support for the consistency element of the covariation theory, as previous convictions of the same present charge provide jurors which an attribution that this person has behaved this way before and is repeating this behaviour despite being convicted. Padawar-Singer and Barton (1974) found that there was a 50% more chance that jurors decided the defendant was guilty if they were aware of the defendants past criminal record, compared to if they did not have this information (Brewer, 2002). In support of this, one study found that mock jurors were more likely to convict the defendant when they had evidence of a prior conviction than when they had no evidence (Greene Dodge, 1995). It may argued that jurors should make their decisions based on the evidence available and not on information about the defendants past convictions because people do change and just because a person was convicted once does not mean that this should be used against them for their entire life. However in one case study it was found that Simon Berowitz was cleared of burglary at a solicitors office without the jury knowing that he had 230 previous convictions for burglary. In this instance jurors should have been provided with the information of Berowitzs previous convictions as the consistency of his actions would have allowed jurors to make a more informed decision, but as the jurors were not provided with the defendants previous convictions they may have made a situational attribution using distinctive information, believing that Berowitz had never been charged for burglary before (Brewer, 2002). In the film 12 Angry Men, the juror played by Jack Klugman was portrayed as a man who, like the boy, was from the slums, initially he seems unsure whether the boy is guilty or not but goes along with the majority verdict because of pressure (Lumet, 1957). This is an example of situational attribution using consensus information, as described by the covariation theory, as the juror is looking at the decisions made by others and then makes his own. Not all research has found that jurors make internal or external attributions about the defendant when making decisions. In one study, a survey was performed and it was found by researchers that one of the most influential factors contributing to jury making decision was the knowledge jurors had of the law as well as the instructions and information about the case (Kakar, 2002). Other factors may also affect jurors decision making such as the ages of the jurors, in one court case, researchers found a difference in length of sentence and the amount of responsibility attributed to the parent between undergraduate mock jurors and high school mock jurors (Ackerman, McMahon Fehr, 1984). Racial leniency is also another contributing factor found in many jury studies, Sommers Ellsworth (2000) and Ugweugbu (1976) both found that the jurors decisions were influenced when the juror was of the same race as the victim or defendant. People make internal and external attributions on a day-to-day basis trying to find an explanation as to why people behave in a certain way and although many studies have found that jurors use the information of intent of the defendant, past convictions and the behaviour and verdicts of their fellow jurors to help them making a decision, there have also been other studies which show other contributing factors which should be taken into account, such the age, race, gender of the juror and the defendant as well the amount of knowledge the juror has about the law. References Heider, F. (1958). The Psychology of Interpersonal Relations. John Wiley Sons Manstead, A.S.R and Hewstone, M. (1996). Attribution Theories. The Blackwall Encyclopaedia of Social Psychology, pg 67. Wiley-Blackwall. Bordens, K. S and Horowitz, I.A. (2002). Social Psychology (2nd Ed). Lawrence Erlbaum Associates. Hayes, N. (2002). Foundations of Psychology (3rd Ed). Thomson Learning. Heffner, C.L. (2001). 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