Nonfarm Work and Marketization of the Chinese Countryside

Parish, William L.; Zhe, Xiaoye; Li, Fang

doi:10.1017/s0305741000015010

Cited by 137 publications

(80 citation statements)

References 13 publications

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“…4 See, for example, Meng (1996Meng ( , 2000; Zhang, Huang and Rozelle (2002); Parish, Zhe and Li (1995) and Wei (2004). Meng (1996Meng ( , 2000 finds that non-market factors, instead of human capital, play major roles in wage determination.…”

Section: The World Institute For Development Economics Research (Widementioning

confidence: 99%

Human Capital and Wage Determination in Different Ownerships, 1989–97

Xing¹

2008

Understanding Inequality and Poverty in China

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This article evaluates the Chinese labour market by examining the role of human capital in wage determination. Using data from China's Household Nutrition Survey, we estimate the returns to education in state-owned, collective-owned and private sectors. In the private sectors, the returns to education increase from 0-2 per cent in the late 1980s and early 1990s to about 4 per cent in 1997, while those of public sectors do not increase. This suggests that the labour market is segmented and human capital is more explicitly rewarded in the private sector. We correct for self-selection error using switching model, but the main results remain unchanged.

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Section: The World Institute For Development Economics Research (Widementioning

confidence: 99%

Human Capital and Wage Determination in Different Ownerships, 1989–97

Xing¹

2008

Understanding Inequality and Poverty in China

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“…For instance, negative effects of farmland loss were reported in China (Chen, 2007;Deng, Huang, Rozelle & Uchida, 2006) and India (Fazal, 2000(Fazal, , 2001. Nevertheless, positive effects were found in China (Chen, 1998;Parish, Zhe & Li, 1995) and Bangladesh (Toufique & Turton, 2002). However, due to the limitation of their (qualitative/descriptive statistic) methods all studies above were unable to provide stastically significant evidence of the relationship between farmland loss and households' livelihood strategies.…”

Section: Introductionmentioning

confidence: 99%

Livelihood Strategies for Coping with Land Loss among Households in Vietnam's Sub-Urban Areas

Tuyến¹

2013

ASS

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Using a novel data set from my household survey in a sub-urban district of Hanoi, Vietnam, this study is the first attempt using an econometric approach to investigate the relationship between farmland loss (due to urbanization and industrialization) and households' livelihood strategies. The results from the multinomial logit model provide the first econometric evidence that land loss increases with the probability of households adopting a strategy specializing in a single nonfarm activity (informal paid jobs or household businesses) or diversifying in many activities. This suggests that many households have actively coped with the shock of losing land. Such adaptation strategies in the new context can help mitigate their dependence on farmland as well as might help improve their welfare. Therefore, a possible implication here is that the rising of land loss should not be seen as an absolutely negative phenomenon because it can improve household welfare by motivating households to change or diversify their livelihoods. Besides, some household asset-related variables such as education, farmland, and the prime location of houses were found to be closely associated with participation in nonfarm activities. Based on evidence from the econometric analyses, the study proposes some policy recommendations that may help households diversify or specialize in lucrative nonfarm activities, given the context of shrinking farmland due to rapid urbanization in Hanoi's sub-urban areas.

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“…Rural labor markets have changed dramatically over the past twenty years and their emergence has contributed to the success of the rural economy (Solinger, 1999;West and Zhao, 2000;World Bank, 2001). Many observers of China agree that the success of rural labor in raising incomes and productivity can account for a significant part of the rise in rural welfare (Parish, Zhe, and Li, 1995;Rozelle, 1996).…”

Section: Introductionmentioning

confidence: 99%