The impact of industrial structure upgrades on the urban–rural income gap: An empirical study based on China's provincial panel data

2021 ◽  
Author(s):  
Qiuyang Zhou ◽  
Zhenqiang Li
Keyword(s):  
Panel Data ◽  
Empirical Study ◽  
Industrial Structure ◽  
Income Gap ◽  
Rural Income ◽  
Urban Rural ◽  
The Impact

scholarly journals The Impact of Agricultural Mechanization on Urban-Rural Income Gap in China: An Empirical Analysis based on Comprehensive FGLS Estimation

2021 ◽  
Vol 3 (5) ◽  
pp. 7-11
Author(s):  
Yufei Xue ◽  
Xuhua Pan
Keyword(s):  
Hong Kong ◽  
Panel Data ◽  
Least Square ◽  
Mathematical Economic ◽  
Least Square Estimation ◽  
Income Gap ◽  
Rural Income ◽  
Agricultural Mechanization ◽  
Urban Rural ◽  
The Impact

Based on the analysis of mathematical economic models and using panel data from Chinese 31 provinces (excluding Hong Kong, Macao and Taiwan) from1978 to 2019, empirically analyzing the influence of agricultural mechanization on Chinese urban-rural income gap by using the comprehensive FGLS (Feasible Generalized Least Square) estimation. Finally found that, in China, agricultural mechanization can significantly narrow urban-rural income gap, and Suggestions are put forward to improve the level of Chinese agricultural mechanization and narrow Chinese urban-rural income gap.

scholarly journals How does the urban–rural income gap affect the quality of China’s economic growth?

2018 ◽  
Vol 1 (1) ◽  
pp. 136-148 ◽  
Author(s):  
Baoping Ren ◽  
Xiaojing Chao
Keyword(s):  
Economic Growth ◽  
Industrial Structure ◽  
Empirical Test ◽  
Theoretical Interpretation ◽  
Content Type ◽  
Income Gap ◽  
Rural Income ◽  
Urban Rural ◽  
Growth Quality

Purpose Based on the theoretical definition of the quality of economic growth as well as the availability and reliability of the given data, the purpose of this paper is to build an evaluation system of a regional economic growth quality on three levels: conditions, processes and results. Design/methodology/approach From the perspective of economic quality, this paper offers a theoretical interpretation on how the urban–rural income gap affects the quality of economic growth and takes an empirical test on the sample panel data from 30 provinces and regions through difference GMM and system GMM models. Findings The results show that the excessively large income gap will influence economic growth in terms of the foundation, operation and the outcome, thereby, restricting the quality of economic growth. In addition, investments in human and physical capital and improvements in terms of transport infrastructure, industrial structure and economic openness play an active role in economic growth quality, whereas government expenditure scale, financial development and the deviation of industrial structure have a negative effect. Originality/value There has been a substantial amount of experience and evidence on the research about the issue of China’s income distribution and the quantity of economic growth, whereas there are relatively fewer discussions about the income distribution and the quality of economic growth. This paper, based on what has been mentioned above, tries to give a theoretical interpretation and an empirical test to describe the relationship between urban–rural income gap and the quality of economic growth from the quality point of view.

Rural credit input, labor transfer and urban–rural income gap: evidence from China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guohua Yu ◽  
Zheng Lu
Keyword(s):  
Rural Areas ◽  
Industrial Structure ◽  
Content Type ◽  
Rural Credit ◽  
Income Gap ◽  
Rural Income ◽  
Urban Rural ◽  
Labor Transfer ◽  
Theoretical Mechanism ◽  
Agricultural Industries

PurposeThe purpose of this study is to elaborate the theoretical mechanism of rural credit input affecting the urban–rural income gap from the perspective of labor transfer, and use a dynamic panel mediation model to test the transmission mechanism of rural credit input affecting the urban–rural income gap through labor transfer, so as to provide an empirical basis for narrowing the urban–rural income gap in China.Design/methodology/approachThis paper constructs a mechanism analysis framework for rural credit input affecting the urban–rural income gap. From the perspective of resource allocation and labor transfer, the authors expound the transmission path of rural credit input to the urban–rural income gap and analyze the theoretical mechanism of rural credit input that affects the urban–rural income gap through labor transfer. Based on this, this paper uses the dynamic panel mediation model to test the effect relationship between rural credit input, labor transfer and urban–rural income gap in 31 provinces of China from 2009 to 2018.FindingsIn theory, increasing rural credit input can ease the financial constraints on the development of “agriculture, rural areas and farmers” and provide capital accumulation for the development of rural non-agricultural industries. The development of rural non-agricultural industries can provide more jobs for rural surplus labor, thereby increasing the labor rate of return in rural areas, and ultimately conducive to narrowing the urban–rural income gap. Further, increasing rural credit input can improve the development level of rural non-agricultural industries, thereby promoting the transfer of agricultural labor. At the same time, rural credit input based on the intermediary variable of labor transfer has a significant inhibitory effect on the urban–rural income gap.Research limitations/implicationsThis study mainly focuses on the relationship between rural credit input, labor transfer and urban–rural income gap, so it is impossible to use micro-level data to further verify the impact of rural credit input on labor transfer. At the same time, the collection of indicators of rural credit investment in the China Financial Yearbook only started in 2009, which limited the number of samples to a certain extent.Practical implicationsThis paper assumes that the economy is mainly composed of urban and rural economic sectors. Therefore, labor can flow freely between urban and rural areas. However, in the near future, China's rural secondary and tertiary industries may develop rapidly, especially with the in-depth implementation of rural revitalization strategy, it is very important to pay attention to the current situation of rural industrial structure and incorporate the factors such as rural industrial structure into the existing model.Social implicationsThis study attempts to provide a new perspective and inspiration for rural credit input, the optimal allocation of labor force and narrowing the urban–rural income gap under China's rural revitalization strategy.Originality/valueBased on the analysis framework of neoclassical economic theory, this paper uses the constant elasticity of substitution production function to establish an urban–rural two-sector nested model that includes credit supply variables and analyzes the mechanism of rural credit input affecting the urban–rural income gap through labor transfer.

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