Shenzhen is not only one of the fastest-growing urban agglomerations in mainland China, Shenzhen also stands for a unique, most rapid and successful transformation into an urban market economy. How important are personal characteristics, social norms and policy-related discriminatory factors for income determination in such an extraordinary city? This paper estimates the income effect of non-productivityrelated discriminatory factors (like personal characteristics, social norms and policies), compared with productivity-related returns on human capital. The design of the Shenzhen Household Survey 2005 enables the inclusion of a large set of discriminating factors in a Mincer Becker type of income model, together with a unique look at the migrant population in this urban centre. The results show that the human capital approach holds. Strong evidence is also found of a significant influence of social norms and policies, which is particularly relevant in a developing and transitional economy, even in such an exceptional city. The most important discriminating factor appears to be the hukou registration system. The on-going existence of these non-productivityrelated discriminating factors can be regarded as indicative of an on-going process of transition towards a fully functioning market economy.

BackgroundGender specific analysis of the occupational disease of the lumbar spine caused by carrying, lifting, or extreme trunk flexion in Germany (OD No.2108) with the aim to identify areas of focus for prevention and research with a prevention index (PI).MethodsData from the German Statutory Accident Insurance stratified by gender are shown.ResultsFrom 2002 until 2009 there were 2,877 confirmed cases of an OD No. 2108 (40.1% male and 59.1% female). The PI indicated the highest prevention need for female nursing/midwifery associate professionals and male building frame and related trades workers. Patient transfer and working in extremely bent posture were the most frequent exposures.ConclusionsThe identified occupations with high need for prevention among men come from nearly all major occupational groups whereas women cluster in occupational groups from the health and care sectors. Am. J. Ind. Med. 57:233–244, 2014. © 2013 The Authors. American Journal of Industrial Medicine Published by Wiley Periodicals, Inc.

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