Application of bootstrap re-sampling method in statistical measurement of sustainability

Sustainability is of essential interest for many organizations and is defined as the ability to maintain existing resources at a certain rate or level when encountered with barriers. Factors affecting sustainability are categorized as enablers (capacities) and barriers (challenges) that have positive and negative effects on sustainability, respectively. To evaluate the status of sustainability, organizations need a measurement method to account for all the aspects of the sustainability classified into social, economic, and environmental tiers. Previously many researchers have provided indexes and measure specific to the studied field, which is not applicable to other areas. Furthermore, the proposed methods fail to cover all the aspects of sustainability. This study investigates a statistical method to measure the sustainability and the application of the bootstrap re-sampling method in order to overcome the problem with normality assumption when the sample size is not large enough and thus develop a more realistic stochastic model. The Bootstrap re-sampling method enables the unbiased estimation of population parameters such as mean and standard deviation. The proposed method is evaluated by comparing its results with those found in the literature.     

Impact of the Fast Track Land Reform Programme (FTLRP) on agricultural production: A tobacco success story in Zimbabwe?

The study ascertained the impact of the Fast Track Land Reform Programme (FTLRP) in Zimbabwe on tobacco production. The Chow Test, Vector Error Correction Model (VECM) and the Vector Error Granger-Causality Test were applied. The results reveal that there was a structural break in tobacco sales in the year 2000. Furthermore, in the long-run, area under tobacco production had a positive impact whilst number of tobacco producers had a negative impact on tobacco sold pre-FTLRP. Post-FTLRP, area of tobacco and number of tobacco producers had negative impact. In addition, the FTLRP induced an 8.94 % increase in the speed of adjustment in correcting the long-run equilibrium in tobacco sales. In the short-run, the FTLRP caused a percentage increase in the area of tobacco production and number of tobacco producers to induce a 0.65 % and 0.76 % increase in the tobacco sales, respectively. Area of tobacco production and number of tobacco producers Granger-caused tobacco sales in the pre-FTLRP period. Post-FTLRP, the number of tobacco growers Granger-caused tobacco sales. It is concluded that the FTLRP had an impact on tobacco sales, mainly through the number of tobacco growers. The study recommends the specialisation and training of the new farmers to improve productivity.     

How do Scores of DIT and MJT Differ? A Critical Assessment of the Use of Alternative Moral Development Scales in Studies of Business Ethics

The construct of Cognitive Moral Development (CMD) has drawn much attention in the study of business ethics for over two decades. The Defining Issues Test (DIT) has made a significant contribution to the literature as an easy-to-administer CMD instrument, and the Moral Judgment Test (MJT), an alternative scale, has also been used widely especially in Europe. The two scales differ in their approaches to measuring CMD, focusing on stage preference (DIT) and stage consistency (MJT), yet empirical comparisons have been scarce. The present research empirically compares the two scales in terms of their correspondence with ethical ideology as a reference scale, and it demonstrates a clear distinction between the DIT and the MJT. Although they both aim to measure CMD, their dissimilar approaches lead to distinctly different implications.     

VXI总线测试系统的优化方案

概述了VXI总线器件的分类，讨论了VXI总线消息基器件和寄存器基器件的特点，以及在测试系统中2种器件对测试吞吐量和程序设计的影响，并提出了优化测试系统的方案。     

广东省对外贸易与经济增长关系的实证分析

文章采用现代计量经济学的分析方法--协整分析和格兰杰因果关系检验,对广东省改革开放以来对外贸易与经济增长的相互关系进行实证分析,结论表明:广东省对外贸易与经济增长之间存在着相互促进的关系,其中,广东省GDP增长对进、出口增加的促进作用大于进、出口增加对GDP增长的促进作用.     

我国存在最优政府规模曲线吗

本文运用格兰杰方法对我国1978-2004年政府支出与经济增长的因果关系进行检验,结果表明:经济增长是我国政府规模的格兰杰原因,但政府规模不是经济增长的格兰杰原因。这一结论说明我国并不存在最优政府规模曲线,但验证了瓦格纳定律,同时也为我国现阶段的财政政策取向提供了有益的参照。     

Are stock prices related to the political uncertainty index in OECD countries? Evidence from the bootstrap panel causality test

This study applies the bootstrap panel causality test proposed by Kónya (2006. Econ Modell 23, 978) to investigate the causal link between political uncertainty and stock prices for seven OECD countries over the monthly period of 2001.01 to 2013.04. This modeling approach allows us to examine both cross-sectional dependency and country-specific heterogeneity. Our empirical results indicate that not all the countries are alike and that the theoretical prediction that stock prices fall at the announcement of a policy change is not always supported. Specifically, we find evidence for the stock price leading hypothesis for Italy and Spain, while the political uncertainty leading hypothesis cannot be rejected for the United Kingdom and the United States. In addition, the neutrality hypothesis was supported in the remaining three countries (Canada, France and Germany), while no evidence for the feedback hypothesis was found.     

Assessing Variability of Complex Descriptive Statistics in Monte Carlo Studies Using Resampling Methods

Good statistical practice dictates that summaries in Monte Carlo studies should always be accompanied by standard errors. Those standard errors are easy to provide for summaries that are sample means over the replications of the Monte Carlo output: for example, bias estimates, power estimates for tests and mean squared error estimates. But often more complex summaries are of interest: medians (often displayed in boxplots), sample variances, ratios of sample variances and non‐normality measures such as skewness and kurtosis. In principle, standard errors for most of these latter summaries may be derived from the Delta Method, but that extra step is often a barrier for standard errors to be provided. Here, we highlight the simplicity of using the jackknife and bootstrap to compute these standard errors, even when the summaries are somewhat complicated. © 2014 The Authors. International Statistical Review © 2014 International Statistical Institute     

On the test score gap between Roma and non‐Roma students in Hungary and its potential causes

Using unique data from Hungary, the gap in reading and mathematics test scores between Roma and non‐Roma 8th grade students is assessed and a substantial gap between them revealed. Standardized test scores as well as the fraction of students with competences considered inadequate are examined. Regardless of measurement and subject area, the bulk of the gap is explained by social differences in income, wealth and parental education. Using reduced‐form regressions, two major mediating mechanisms are identified: first, on average the home environment of Roma children is less favourable for cognitive development; second, the educational environment of the average Roma student is different from the average non‐Roma student. Comparing students with similar home environments from the same school and class, the ethnic gap in test scores is found to be insignificant. Ethnic differences in the home environment are explained by social disparity, and ethnicity seems to play no additional role in that regard. The unequal distribution of Roma students in schools and classes is found to be explained predominantly by social difference, too, with a significant residual portion, indicating the effect of ethnic segregation.