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ID:
125650
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| Publication |
2013.
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| Summary/Abstract |
In this study, we apply the inter-regional input-output model to explain the relationship between China's inter-regional spillover of CO2 emissions and domestic supply chains for 2002 and 2007. Based on this model, we propose alternative indicators such as the trade in CO2 emissions, CO2 emissions in trade and the regional trade balances of CO2 emissions. Our results do not only reveal the nature and significance of inter-regional environmental spillover within China's domestic regions but also demonstrate how CO2 emissions are created and distributed across regions via domestic and global production networks. Results show that a region's CO2 emissions depend on its intra-regional production technology, energy use efficiency, as well as its position and participation degree in domestic and global supply chains.
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| 2 |
ID:
073500
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| Publication |
2006.
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| Summary/Abstract |
Rapid economic growth and radical structural transformation pose a challenge to official statisticians as they seek to encompass new economic activities and phenomena. The accuracy of official statistics is liable to come into question. Urban unemployment in China is a good example. This paper estimates the urban unemployment rate using administrative statistics, population census data and a recent sample survey data set, and provides a critique showing in some detail how and why Chinese unemployment statistics are a minefield for the unwary and unemployment is so difficult to measure. Nevertheless, it is found that the urban unemployment rate rose rapidly over the 1990s and exceeded 11% in 1999 and 2000. The paper concludes by considering the implications of the findings for understanding unemployment, for policy, and for the collection of statistics.
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| 3 |
ID:
136250
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| Summary/Abstract |
This paper discusses the issue of informal employment and its effect on the income distribution in China using datasets from the China Urban Labour Surveys of 2005 and 2010. Based on a new definition of informal employment, we estimated the proportion of informal employment relative to total non-agricultural employment in urban China and found it to be 49.7% in 2005 and 40.3% in 2010. Meanwhile, our study illustrated that informal employees' earnings were 67% that of formal employees, and this large earnings gap raised the Gini coefficient to 0.42 in 2005. The Blinder–Oaxaca decomposition result shows that the earnings gap explains more than half of the overall personal income inequality in urban China. These results indicate that informal employment has a significant effect on the income distribution in urban China. Consequently, regulating the labour market, eliminating job discriminations and legislating the informal employment should be considered as alternative means of reducing inequality in China.
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