Manpower restructuring in the state-owned railway industry of China: the role of the state in human resource strategy

Twenty years after it first opened its door to foreign enterprises, one of the greatest challenges facing the Chinese government today is the reform of the state-owned enterprise sectors (which make up half of the country's GDP) in order to make them more efficient. This paper intends to describe and then critically assess a number of major human resource policies introduced in the state-owned railway enterprise (one of the biggest enterprises) in China in its recent manpower reform (downsizing). Through the case of the railway company, a wider picture is revealed of the country's changing employment policy and practice as well as its emerging labour market. In particular, problems relating to human resources such as skill, remuneration, and training are highlighted at both organization and national level. As the reality of 'life-long employment' comes to an end, the notion of 'life-long learning' has been given a high profile in government policy decisions. What, then, has been and is the role of the state in 'creating' and resolving these problems as an employer and as a state governor?     

Consequences of Linguistic Distance for Economic Growth

This paper advances a new country‐level measure of ethno‐linguistic diversity, making use of Greenberg's definition of diversity by synthesizing information on the share of different ethno‐linguistic groups in a country's population and, more importantly, information on intergroup linguistic distances derived from a recently developed lexicostatistical approach. I show that this measure captures ethno‐linguistic diversity at lower levels of linguistic aggregation. However, unlike the commonly used phylogenetic language tree approach, I found that these distance‐weighted diversity measures continue to have a strong negative statistical association with economic growth that is not sensitive to the underlying resemblance function between ethno‐linguistic groups.     

Pollution Havens and Their Relationship to the Environmental Kuznets Curve: The Case of the us Tyre Industry

The Environmental Kuznets Curve hypothesis suggests that, as a country's national income grows, environmental degradation subsides as the population demands a cleaner environment. On the other hand, critics of the Environmental Kuznets Curve claim that many polluting industries simply relocate offshore, where environmental compliance is less costly. They then export their products back to their previous home countries. This is known as the Pollution Haven hypothesis. This article demonstrates how pollution havens can falsely give the appearance of an Environmental Kuznets Curve by analysing lead emissions from the US automotive tyre manufacturing industry.     

Environmental performance evaluation: A state-level DEA analysis

In recent years, the continuous development of every country's economic activities has generated undesirable impacts on the environment. Common problems are high water and energy consumption rates, jointly with harmful pollution levels. This situation has gained the research community's interest in exploring and analyzing the extent to which initiatives to reduce such environmental problems have succeeded. Therefore, it is relevant to have measures that encompass information on the results obtained by such initiatives. Using the data envelopment analysis (DEA) methodology, it is possible to measure the efficiency of an entity under evaluation, such as an industry, state, or country. DEA also allows one to compare the performance measures of entities operating in similar circumstances and identify which entities are performing best, given the inputs they use and the outputs they produce. This study evaluates different states in Mexico in terms of their environmental performance and provides a perspective on how environmental initiatives can contribute to protecting and preserving the environment. By addressing this problem, best-performers and practices are identified, and valuable insights are gained regarding how each state carries out such initiatives.     

OECD Efforts to Address the Measurement and Policy Challenges Posed by the Information Society

The OECD has acted as a forum for the discussion of policies regarding the information society for over 20-years, producing guidelines and recommendations in areas such as privacy of personal information, computer security, cryptography, regulatory reform of communications, and most recently on-line consumer protection and the taxation of e-commerce. By and large, this work was undertaken without the benefit of statistical measures. But the economic performance of a number of OECD Member countries during the 1990s underscores that the policy challenges being posed by the information society are increasingly economic in nature—how ICT is affecting productivity, growth rates, inflation, labour markets etc.—necessitating the need for statistically rigorous data. This paper outlines how recent efforts by national statistical offices to improve this situation have allowed researchers to gain new insight into the economic impact associated with ICTs and applications like e-commerce, leading to a number of policy recommendations as to how best to exploit the economic potential of these technologies. The paper ends by outlining important policy issues that require new statistical efforts.     

Topics of statistical theory for register‐based statistics and data integration

Official statistics production based on a combination of data sources, including sample survey, census and administrative registers, is becoming more and more common. Reduction of response burden, gains of production cost efficiency as well as potentials for detailed spatial‐demographic and longitudinal statistics are some of the major advantages associated with the use of integrated statistical data. Data integration has always been an essential feature associated with the use of administrative register data. But survey and census data should also be integrated, so as to widen their scope and improve the quality. There are many new and difficult challenges here that are beyond the traditional topics of survey sampling and data integration. In this article we consider statistical theory for data integration on a conceptual level. In particular, we present a two‐phase life‐cycle model for integrated statistical microdata, which provides a framework for the various potential error sources, and outline some concepts and topics for quality assessment beyond the ideal of error‐free data. A shared understanding of these issues will hopefully help us to collocate and coordinate efforts in future research and development.     

人口普查净误差估计中的双系统估计量研究

评估普查计数的完整性已经成为五年或十年一次的人口普查不可分割的一部分。评估通常采取质量评估调查的方式。该调查建立在双系统估计量基础上。考虑到普查登记质量及人口移动因素,这三份人口登记名单可提供7个总体指标。由于质量评估调查采取抽样的方式进行,所以这些总体指标要用样本来构造其估计量。基于复杂抽样方法形成的双系统估计量没有现成的方差公式计算其方差。通常使用分层刀切方差估计量近似计算双系统估计量的方差。这需要计算第一步所有样本抽样单位的复制权数。本文将对双系统估计量构造的各个环节进行理论与实践相结合的阐述,深入解析其中深层次的理论问题,为基础理论研究做出贡献,另外也将探讨基于双系统估计量的合成估计量在区域人口数目估计中的应用问题。     

Institutional quality and corporate financing decisions around the world

We investigate the influence of the recent comprehensive institutional quality dimensions of Karolyi (2015), such as market capacity, operational efficiency, foreign accessibility, corporate transparency, legal protection, and political stability, on financing decisions of firms across 56 countries between 2000 and 2015. We find that stronger institutional quality or lower fundamental risks in a country ease firms' access to long-term debt, and equity financing. We attribute our results to institutional environments influencing financing decisions by shaping the severity of market frictions, such as agency conflicts and information asymmetry, and transaction costs. As a result, we conclude that any improvement in a country's institutional environment will boost firms' access to long-term financing, and thus longer-term investments that promote countries' economic growth will be more feasible. Our findings are robust to potential endogeneity issues.     

现代物流管理四精品立体化课程建设与实践

现代物流业作为国民经济的基础性新型产业，正从传统物流向现代物流转变，如何提高人才培养质量成为关键问题。云南财经大学“现代物流管理”课程经过多年探索与实践，打造了一门融国家级精品教材、国家级精品课程、国家级精品视频公开课、国家级精品资源共享课于一体的立体化课程平台，为有效解决物流课程教学存在的突出问题提供了经验借鉴。     

Go Global,Innovate! Training Social Entrepreneurial Leaders

Problems associated with poverty, education, healthcare, and the environment are grand challenges shared by all nations. For example, poverty in one country may lead to immigration and limitations on exports for another. Similarly, as the Ebola crisis demonstrated, one country's healthcare challenges can quickly turn into a problem for all. The global interconnectedness of social problems necessitates the development of solutions by entrepreneurial leaders trained to adopt a global perspective. The questions explored in the current article are: (a) what does it take to be a global entrepreneurial leader and a social entrepreneur, and (b) how can we prepare students to succeed as global entrepreneurial leaders?     

Statistical Disclosure Control Methods for Census Frequency Tables

This paper provides a review of common statistical disclosure control (SDC) methods implemented at statistical agencies for standard tabular outputs containing whole population counts from a census (either enumerated or based on a register). These methods include record swapping on the microdata prior to its tabulation and rounding of entries in the tables after they are produced. The approach for assessing SDC methods is based on a disclosure risk–data utility framework and the need to find a balance between managing disclosure risk while maximizing the amount of information that can be released to users and ensuring high quality outputs. To carry out the analysis, quantitative measures of disclosure risk and data utility are defined and methods compared. Conclusions from the analysis show that record swapping as a sole SDC method leaves high probabilities of disclosure risk. Targeted record swapping lowers the disclosure risk, but there is more distortion of distributions. Small cell adjustments (rounding) give protection to census tables by eliminating small cells but only one set of variables and geographies can be disseminated in order to avoid disclosure by differencing nested tables. Full random rounding offers more protection against disclosure by differencing, but margins are typically rounded separately from the internal cells and tables are not additive. Rounding procedures protect against the perception of disclosure risk compared to record swapping since no small cells appear in the tables. Combining rounding with record swapping raises the level of protection but increases the loss of utility to census tabular outputs. For some statistical analysis, the combination of record swapping and rounding balances to some degree opposing effects that the methods have on the utility of the tables.     

Gender identity inclusion in the workplace: broadening diversity management research and practice through the case of transgender employees in the UK

Based on 14 in-depth interviews, this paper explores the unique workplace experiences of transgender individuals in the UK employment context. The paper identifies gender identity diversity as a key blind spot in HRM and diversity management research and practice. The findings reveal the range of workplace challenges experienced by transgender employees. Major findings are that discriminatory effects are often occupation- and industry-specific; transition is a period where many transgender workers suffer due to lack of proper organisational support; and expertise deficits exist in supporting and accommodating transgender employees' needs. In unpacking these experiences, the paper demonstrates the distinctive dimensions of challenges faced by transgender employees, revealing the need for conceptually expanding how we frame diversity and diversity management. Our findings identify the necessity for an emic approach not only to researching diversity but also to devising organisational diversity strategies. The paper provides recommendations for HRM policy and practice in order to develop a more sophisticated approach to achieving inclusion.     

Globalization,employment relations and human resources indicators in ten developed market economies: international data sets

This paper provides statistical information on internationalization, human resources and labour market outcomes in ten important developed market economies (DMEs). Such data are useful for practitioners and academics who are interested in international HRM. The article's aim is to provide easily accessible statistical tables of selected characteristics, which can be used to draw initial comparisons between countries and to test competing accounts of the impact of globalization on national patterns of employment relations. It includes standard sources so readers can elaborate and update these data.     

Decentralization is Dead,Long Live Decentralization! Capital City Reform and Political Rights in Kampala,Uganda

African cities are currently experiencing some of the highest population growth rates in the world. Accompanying this growth is constant and continuing pressure on national and local governments to develop political and institutional structures that respond to the multiple demands this demographic change provokes in relation to service delivery, economic development and social wellbeing. In response to these challenges, national governments are reviewing the political and administrative structures of their capital cities, sometimes recentralizing authority. This article examines the reforms to Kampala, capital city of Uganda. The article explains how the national government gradually created the legal conditions necessary to take over the capital city directly, and the political rhetoric and conflict that ensued. We argue that while Kampala had deep internal problems and fared poorly in service delivery, matters were exacerbated by the national government's historical indifference to the city. Moreover, past service delivery failures offered an easy rationale for recentralizing authority. We demonstrate that this recentralization was a well‐planned effort by the central government to regain political control of the capital city. This article illustrates how the national government's recentralization of authority in Kampala is a significant departure from its longstanding policy of democratic decentralization.     

A Q-Analysis of Census Data: Intra-Household Income Allocation and School Attendance in Chiapas, Mexico

Q-analysis, introduced by a mathematician Ron Atkin, is a useful tool to explore social structures. I introduce essential concepts and techniques of q-analysis to show q-analysis’s potential ability to analyze and extract information from census data – the work that most researchers have done mainly with statistical methods. Using Mexican census and q-analysis, I examine whether children of female-headed household aged 15–19 were more likely to attend school than male-headed household children in Chiapas, Mexico in 2000. My findings are consistent with the large body of previous research, many of which were conducted with statistical methods: women’s control of income tends to results in a better welfare for their children, defined as children’s school attendance by the sex of heads of household in my study. I evaluate the advantages and disadvantages of a-analysis of census data. I conclude that while it has some weaknesses, q-analysis is a complimentary method to statistical methods for analysis of census data that may overcome some limitations that statistical methods often face such as an incapability of handling a small sample.     

The Economic Relevance of Environmental Disclosure and its Impact on Corporate Legitimacy: An Empirical Investigation

In determining its environmental disclosure strategy, a firm's management faces a tension between responding to the information needs of financial markets and maintaining its legitimacy within the community. In this paper, relying on information economics and legitimacy theory, we explore how firms resolve this tension. Results show that a firm's environmental disclosure enhances the quality of analysts' information context, which ultimately allows them to make better forecasts. Moreover, financial analysts seem to be able to decipher environmental information, discounting discourses that are inconsistent with a firm's underlying environmental performance. We find also that a firm's environmental disclosure serves another purpose, as it influences how its other stakeholders (beyond financial ones) perceive its legitimacy. Such enhanced legitimacy reduces the information uncertainty faced by financial analysts. Our results suggest also that both economic‐based environmental disclosure and sustainable development and environmental disclosure are useful to analysts in making their forecasts and enhance a firm's legitimacy. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment.     

Linking instructional objectives to the design of instructional environments: The Integrative Training Design Matrix

The purpose of this article is to present a system, referred to as the Integrative Training Design Matrix (ITDM), for streamlining the design of instructional environments in a way that integrates the instructional design elements commonly discussed in the scientific literature. This system expands the use of job-analytic information to better link needs assessment to the design of instructional environments. Specifically, the ITDM shows how determining an instructional objective's standing along four training issues–extensiveness of training, location of training, nature of transfer performance, and learning difficulty–yields a comprehensive plan for designing instructional environments. These plans involve design elements such as trainee-to-trainer ratio, feedback delivery, hands-on practice, modeling, structure of practice, amount of training, meaningfulness, pre- and post-training interventions, and general training methods. The ITDM then shows how organization and person analyses can be targeted to support these design elements.     

A record linkage system as a means to extensive socio-economic farm population data: 1971 Census of Canada

In this paper, a record linkage system is proposed as a viable technique for tapping vast amounts of potentially useful socio-economic farm population data which presently remain virtually unexploited in the national census data-banks of a good many countries. As an illustrative case, plans for the complete collation of results from Canada's 1971 Census' of Agriculture and Population are outlined, and critical factors in the design of the linkage system to be used are detailed. Throughout the discussion, imperatives for the design of the manual and automated aspects of a pragmatic record linkage system have been raised as guide-lines for analogous linkage applications.     

Implementation of IFRS for SMEs in Emerging Economies: Stakeholder Perceptions in the Czech Republic,Hungary, Romania and Turkey

This research investigates the perceptions of stakeholders involved in financial reporting in four emerging economies (the Czech Republic, Hungary, Romania, and Turkey) regarding the possible implementation of IFRS for SMEs, in terms of costs, benefits, and strategy of adoption. In‐depth, semi‐structured interviews were conducted with representatives of main stakeholders (preparers, auditors, regulators, professional bodies, and users). We find more support for IFRS for SMEs implementation in these four countries than suggested by the results of the European Commission's 2010 consultation for the European Union. Interviews reveal differences between stakeholder groups and between countries regarding the preferred implementation approach (mandatory adoption, voluntary adoption or convergence of national regulations with IFRS for SMEs). Interviews indicate the most support for the convergence approach. However, users oppose convergence and prefer the adoption of IFRS for SMEs. The convergence approach moves regulators' attention from users' needs to preparers' preferences and preparedness. This finding is relevant in the decision‐making process of national regulators, who should balance the needs of various stakeholders, but also the country's political and economic objectives.