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INDUSTRY SECTOR (2) answer(s).
 
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ID:   137670


Ex-post assessment of China's industrial energy efficiency policies during the 11th Five-Year Plan / Yu, Yuqing; Wang, Xiao ; Li , Huimin ; Tamura, Kentaro   Article
Wang, Xiao Article
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Summary/Abstract China implemented a package of policies during the 11th Five-Year Plan (2006–2010) to improve industrial energy efficiency. This assessment provides a methodology that establishes a causal relationship between policy implementation and energy conservation effects. To enhance the confidence in the research findings, this assessment applies two distinctive and independent approaches: one top-down and the other bottom-up. This assessment finds that industrial energy efficiency policies collectively achieved energy savings of 322 Mtce (9.4 EJ) against the baseline scenario. This accounted for 59% of the sector's total energy savings from 2006 to 2010. The remaining energy savings were realised through autonomous technology improvement (33%) and sector-level structural shift (8%). Correspondingly, cumulative avoided CO2 emissions realised through energy efficiency policies amounted to 760 million tons. This assessment concludes that industrial energy efficiency policies were effective in realising energy conservation targets, but energy conservation effects were not achieved in a cost-effective way. Command and control measures were dominantly implemented, with economic incentives and informational measures taking a complementary role; while market based instruments did not play an important role. As China is planning on implementing a nationwide emissions trading scheme, special attention needs to be paid to policy interaction and coordination.
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2
ID:   161770


Labor market segmentation by industry sectors and wage gaps between migrants and local urban residents in urban China / Ma, Xinxin   Journal Article
Ma, Xinxin Journal Article
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Summary/Abstract This paper explores the influence of labor market segmentation by industry sectors on the wage gap between rural-to-urban migrants and local urban residents in China in the 2000s. Using Chinese Household Income Project (CHIP) survey data and the results based on the Brown decomposition method, the results indicate that the influence of intra-industrial differentials is greater than the influence of inter-industry differentials in both 2002 and 2013. The influence of the explained component of the intra-industry differentials is larger in both 2002 and 2013, and the influence of the unexplained component of the intra-industrial differentials rises steeply from 2002 to 2013. These results show that the individual characteristic differentials (e.g. human capital) in the same industry sector is the main factor causing the wage gap in both 2002 and 2013, and the problem of discrimination against migrants in the same industry sector became more serious from 2002 to 2013.
Key Words Migrant  Local  Wage Gap  Segmentation  Industry Sector  Urban Resident 
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