Assessing preferences of potential visitors for nature-based experiences in protected areas

Visitor experiences have been identified as critical for the sustainable management of tourism destinations. However, researchers have given limited attention to how to measure visitor preferences for different, newly proposed experiences, especially in nature-based tourism contexts. This paper aims to capture potential visitors' preferences for nature-based visitor experiences that would alleviate pressure on the iconic summit of Mount Warning, Australia. Findings reveal a preference for passive rather than active experiences. Consistency between the four measurement approaches used was high. Future studies should consider adopting multiple measures to underpin evidence-based management that informs the design of nature-based tourism experiences.     

Fair Value Measurements of Control Premiums

As the overview of the current state of research within this paper shows, the debate around fair value measurements is far from over. This paper analyzes fair value measurement requirements in a controversial scenario, namely when a control premium exists. The analyses of the paper show that, while measurement rules around control premiums could have a material impact on fair value measurements and the financial statements as a whole, significant fair value measurement issues remain unresolved. The conclusion is that fair value measurements should include or exclude control premiums consistently. It is argued that including control premiums for all fair value measurements is the most faithful representation of the underlying economic phenomenon. This paper contributes to the fair value measurement debate by comparing the merits of alternative fair value measurements for control premiums and highlights an area where researchers, investors, and other users should exercise caution when evaluating financial statements.     

浅谈测量员如何更好更快地提高业务水平

测量作为服务于国民经济建设的重要行业，随着传统测绘技术向数字化测绘技术转化，它表现出复杂性及多样性，当我们面对一项新的测量任务时，除了传统学习模式之外，我们该如何更好地提高自身地业务水平呢？本文结合作者工作经验论述了上述问题，为测量同行提供一些建议及指导。     

技术进步与效率改善的一种新测度方法

本文利用非参数路径收敛设计,建立了测度政府投入驱动经济增长效率的方法。基于浙江省级公立医院2005~2008年的数据,本文发现经典的Malquist指数和线性回归估计方法无法识别政府投入对技术进步和效率改善的影响。研究表明,2005年5月至2006年10月和2008年7月至2008年12月期间,政府投入显著促进了浙江省级公立医院技术进步,生产率大幅提升;然而,在2006年10月至2008年7月期间政府投入失败。这一结果不仅论证了本文测度方法的有效性和应用的可行性,同时也纠正了投入产出比导致的直观错误判断。     

How do indicators of household food insecurity measure up? An empirical comparison from Ethiopia

Renewed emphasis on programs and policies aimed at enhancing food security has intensified the search for accurate, rapid, and consistent indicators. Measures of food security are urgently required for purposes of early warning, assessment of current and prospective status of at-risk populations, and monitoring and evaluation of specific programs and policies. Different measures are often used interchangeably, without a good idea of which dimensions of food security are captured by which measures, resulting in potentially significant misclassification of food insecure populations. The objective of this paper is to compare how the most frequently used indicators of food security portray static and dynamic food security among the same sample of rural households in two districts of Tigray State, Northern Ethiopia. Seven food security indicators were assessed: the Coping Strategies Index (CSI); the Reduced Coping Strategies Index (rCSI); the Household Food Insecurity and Access Scale (HFIAS); the Household Hunger Scale (HHS); Food Consumption Score (FCS); the Household Dietary Diversity Scale (HDDS); and a self-assessed measure of food security (SAFS). These indicators provide very different estimates of the prevalence of food insecurity, but are moderately well correlated and depict generally similar food security trends over time. We suggest that the differences in prevalence estimates, and in some cases the weaker than expected correlation, can be explained in three ways. First, the indicators differ in the underlying aspect of food security they attempt to capture. Second, each indicator is likely only sensitive within a certain severity range of food insecurity and these ranges do not always overlap. Third, categorization of the prevalence of food insecurity is strongly dependent on the choice of cut-off points. For valid reasons, “food insecurity” has no accepted gold standard metric against which individual indicators can be gauged, though without one it is difficult to say which indicator performs “best” in correctly and reliably identifying food insecure households. The implication is that using more than one indicator is advisable, and policy makers should be aware of what elements of food insecurity each indicator portrays.     

Hierarchical Bayesian conjoint models incorporating measurement uncertainty

The authors explore situations where consumers supplement their judgments with a measurement of uncertainty about their own preferences, either implicitly or explicitly, and develop two sets of hierarchical Bayesian conjoint models incorporating such measurements. The first set of models uses the relative location of a rating to determine the importance or weight given to the rating, in a regression setting. The second set uses interval judgment as a dependent variable in a regression setting. After specifying the models, the authors perform a theoretical comparison with a basic Bayesian regression model. They show that, under different conditions, the proposed models will yield more precise individual-level partworth estimates. Two simulated data examples and data from a conjoint study are used to illustrate the gains that could be obtained from modeling uncertainty. In the empirical application, the authors show that model fit improves when ratings for items that respondents do not like are given more weight compared to ratings for items that they do like. Electronic Supplementary Material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.

An Analysis of Concepts and Evidence on the Question of Whether IFRS Should be Conservative

Do international accounting standards require conservative accounting? The IASB's conceptual framework suggests that they should not, while the research literature is largely silent on the matter, typically presuming conservatism to be an outcome of private contracting rather than standardized, public, general purpose financial reporting. In this paper, we analyze the actual requirements of IFRS. We find multiple examples of recognition requirements that lead to unconditional conservatism, measurement requirements that lead to conditional conservatism, and also presentation/disclosure requirements that further support a conservative reporting environment. These findings complement, support and deepen existing evidence in the empirical literature that accounting is in practice conservative. We show, however, that the requirements for conservatism in IFRS conflict with, first, the IASB's stated position in its conceptual framework that accounting should not be conservative and, second, the private contracting explanation for conservatism that is generally accepted in the literature. What is missing, and lies behind both conflicts, is an acknowledgement and understanding of the role of an agency/contracting perspective in enhancing the decision‐usefulness of general purpose accounting standards, given the information/incentive asymmetry and uncertainty that characterizes the real‐world context in which those standards operate. From a policy perspective, such an understanding would reconcile the IASB's conceptual framework with the actual requirements of IFRS. From a research literature perspective, such an understanding would re‐position accounting standards as central to the practice of accounting conservatism, which would in turn require revision to the generally accepted theory of a private contracting explanation for the empirical evidence of conservative accounting practice.     

Hotel career management in China: Developing a measurement scale

This study aims to develop a measurement scale for organizational career management (OCM) in China's hotel industry. The scale development procedure includes four steps: developing initial items, implementing purifying measures, data collection, and assessing the reliability and validity of the proposed measurement scale. Both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are used to test the reliability and validity of the measurement scale thus developed. The development process results in a reliable and valid scale for hotel career management incorporating three dimensions: (1) career appraisal and advice, (2) a career development program, and (3) career training. Given the scarcity of research on career management in China, the measurement scale developed in this study will serve as a foundation for future research. The findings of this study may help to stimulate further empirical research on the relationship between hotel career management and employees’ career commitment and career satisfaction.     

宏观流动性的测度、波动及其对资产价格的影响

本文对不同层次的流动性概念进行了阐述,并在此基础上着重探讨了宏观流动性的有关问题,同时通过理论分析及实证检验得出以下结论:宏观流动性的波动总体上取决于货币政策的取向和力度;但也可能在外部冲击下短期内发生剧烈波动。宏观流动性状况对资产价格具有一定作用,但实际影响取决于多种因素。     

Beauty is the promise of happiness?

We measure the impact of individuals' looks on life satisfaction and happiness. Using six data sets, from Canada, Germany, the United Kingdom, and the United States, we construct beauty measures in a number of different ways. Beauty raises happiness: A one standard-deviation change in beauty generates about 0.08 standard deviations of additional satisfaction/happiness among men, 0.07 among women. The finding is robust to a rare opportunity to measure it using an instrumental variables approach. Accounting for a wide variety of covariates, particularly educational, marital, and labor-market outcomes that might be affected by beauty, the gross effects are roughly halved, with small reductions arising from the impact of beauty on monetary outcomes.