中国劳动力构成与劳动力市场

中国经济改革中劳动力构成及劳动力市场究竟有什么变化，这是国际学界共同关心的问题。本文从中国劳动力市场发展的趋势出发，具体讨论有关产业和政治的涵义，并就中国劳动力市场所处的国际背景进行分析。     

Confucian values and the implications for international HRD

Abstract

The consideration of cultural issues has become increasingly important in scholarly inquiry and explorative practice in international human resource development (HRD). We review and explore the core characteristics of Confucian-based culture in relation to organizations and unfold how these Confucian values may affect organizational and management practices in China and other Asian countries. Five major aspects of Confucianism are examined. They are: (a) hierarchy and harmony, (b) group orientation, (c) guanxi networks (relationships), (d) mianzi (face) and (e) time orientation. The impact of these values on management practices in the Chinese organizational context is presented in four areas: (a) working relationships, (b) decision-making processes, (c) ruling by man (ren zhi) instead of by law (fa zhi) and (d) HR practices. Implications for organizations and international HRD are also discussed.     

Determinants of Migrant Career Success: A Study of Recent Skilled Migrants in Australia

Australia has been aggressively pursuing skilled migrants to sustain its population and foster economic growth. However, many skilled migrants experience a downward career move upon migration to Australia. Based on a survey of recent skilled migrants, this study investigates how individual (age, years of settlement, qualifications), national/societal (citizenship and settlement), and organization-level (climate of inclusion) factors influence their career success. Overall, we found that: (1) age at migration matters more than length of settlement in predicting skilled migrant career success; (2) citizenship uptake and living in a neighbourhood with a greater number of families from the same country of origin facilitate post-migration career success; and (3) perceptions of one's social/informal networks in the workplace – a dimension of perceived organizational climate of inclusion – also have a positive impact on migrant career outcomes.     

Making social work more Bourdieusian: why the social professions should critically engage with the work of Pierre Bourdieu

In recent years, some attempts have been made to ascertain if the work of the late Pierre Bourdieu has relevance for the work of social workers and others located in the social professions. It is important to support this exploration, but to expand it by also seeking to incorporate the overtly ‘political’ Bourdieu and to highlight some of the issues which preoccupied him. It is argued that his work, when viewed in a more rounded way, may contain a number of key ‘messages’ for social work in the early twenty-first century.     

Nano Risk Analysis: Advancing the Science for Nanomaterials Risk Management

Scientists, activists, industry, and governments have raised concerns about health and environmental risks of nanoscale materials. The Society for Risk Analysis convened experts in September 2008 in Washington, DC to deliberate on issues relating to the unique attributes of nanoscale materials that raise novel concerns about health risks. This article reports on the overall themes and findings of the workshop, uncovering the underlying issues for each of these topics that become recurring themes. The attributes of nanoscale particles and other nanomaterials that present novel issues for risk analysis are evaluated in a risk analysis framework, identifying challenges and opportunities for risk analysts and others seeking to assess and manage the risks from emerging nanoscale materials and nanotechnologies. Workshop deliberations and recommendations for advancing the risk analysis and management of nanotechnologies are presented.     

Variance estimation in complex survey sampling for generalized linear models

Summary.  Complex survey sampling is often used to sample a fraction of a large finite population. In general, the survey is conducted so that each unit (e.g. subject) in the sample has a different probability of being selected into the sample. For generalizability of the sample to the population, both the design and the probability of being selected into the sample must be incorporated in the analysis. In this paper we focus on non-standard regression models for complex survey data. In our motivating example, which is based on data from the Medical Expenditure Panel Survey, the outcome variable is the subject's 'total health care expenditures in the year 2002'. Previous analyses of medical cost data suggest that the variance is approximately equal to the mean raised to the power of 1.5, which is a non-standard variance function. Currently, the regression parameters for this model cannot be easily estimated in standard statistical software packages. We propose a simple two-step method to obtain consistent regression parameter and variance estimates; the method proposed can be implemented within any standard sample survey package. The approach is applicable to complex sample surveys with any number of stages.