Impacts of Rural Dual Economic Transformation on the Inverted-U Curve of Rural Income Inequality: An Empirical Study of Tianjin and Shandong Provinces in the People’s Republic of China
Zongsheng, Chen; Ting, Wu; Jian, Kang | April 2017
Abstract
Using a case study about rural Tianjin and Shandong provinces, we try to explain what mechanism affects income inequality in rural areas, especially how rural dual structural transformation leads to the income inequality “inverted-U” Curve in some developed areas in the People’s Republic of China (PRC). We choose Tianjin to represent developed provinces, which depend on nonagricultural and urban agricultural development modes, and take Shandong Province to represent areas dominated by traditional agriculture.
We can clearly observe that the changes in rural income inequality are roughly consistent with the changes in dual economic transformation in different regions. A marginal decomposition analysis on the Gini coefficient changes of income inequality shows that the distribution effect always accounts for the dominant position and determines the inequality change direction, both in Tianjin and Shandong. By comparison, we find that the dual transformation is sure to affect and change the sectoral labor participation rate directly, and then affect and change the within-sector income inequality, and further to make total income inequality go up or down. Through this empirical and comparative study, we suggest some policies to both grow rural income and reduce income inequality in rural PRC, which means accelerating growth in order to go beyond the “inverted-U curve” turning point.
Citation
Zongsheng, Chen; Ting, Wu; Jian, Kang. 2017. Impacts of Rural Dual Economic Transformation on the Inverted-U Curve of Rural Income Inequality: An Empirical Study of Tianjin and Shandong Provinces in the People’s Republic of China. © Asian Development Bank Institute. http://hdl.handle.net/11540/7290.Keywords
Development Indicators
Environmental Indicators
Economic Indicators
Educational Indicators
Demographic Indicators
Health Indicators
Disadvantaged Groups
Low Income Groups
Socially Disadvantaged Children
Rural Conditions
Rural Development
Social Conditions
Urban Development
Urban Sociology
Project finance
Resources evaluation
Needs assessment
Cost benefit analysis
Alleviating Poverty
Anti-Poverty
Extreme Poverty
Fight Against Poverty
Global Poverty
Health Aspects Of Poverty
Indicators Of Poverty
Participatory Poverty Assessment
Poverty Eradication
Poverty Analysis
Poverty In Developing Countries
Poverty Reduction Efforts
Urban Poverty
Results-Based Monitoring And Evaluation
Project Evaluation & Review Technique
Performance Evaluation
Impact Evaluation Reports
Evaluation Criteria
Poor
Economic forecasting
Health expectancy
Social groups
Political participation
Distribution of income
Inequality of income
Developing countries
Rural community development
Mass society
Social change
Social policy
Social stability
Population
Sustainable development
Peasantry
Urban policy
Urban renewal
Results mapping
Risk assessment
Participatory monitoring and evaluation
Cost effectiveness
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Citable URI
http://hdl.handle.net/11540/7290Metadata
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