scholarly journals Financial Deepening, Spatial Spillover, and Urban–Rural Income Disparity: Evidence from China

2020 ◽  
Vol 12 (4) ◽  
pp. 1450 ◽  
Author(s):  
Maosheng Ran ◽  
Liang Chen ◽  
Wanli Li
Keyword(s):  
Financial Development ◽  
Rural Areas ◽  
Proximity Effect ◽  
Local Effect ◽  
Income Disparity ◽  
Financial Deepening ◽  
Rural Income ◽  
Central Regions ◽  
Urban Rural ◽  
Urban And Rural Areas

Financial development is one of the main sources of economic growth, whether financial deepening can lower the income inequality between urban and rural areas has been the focus of policy makers and researchers. Using data from 31 provinces in China, from 2002 to 2013, this paper examines the impact of financial deepening on income inequality between urban and rural areas. These empirical results show that financial deepening is significantly negatively associated with urban–rural income disparity, that is, for every 1% increase in financial deepening urban–rural income disparity can be reduced by about 0.5%. Further research has investigated that the influence of financial deepening on income disparity has a selective effect. From the decomposition effect of financial deepening, we also find that the proximity effect of the Eastern and Central regions is higher than that of the local effect, while the local effect of the Western region is higher than that of the Eastern and Central regions, but the proximity effect is not significant. The conclusion of this paper is of great significance to further deepen financial reform, improve the quality of financial development, and achieve sustainable development of economy.

scholarly journals How Does the Urban-rural Income Disparity Affect Economic Growth?

2017 ◽  
Vol 65 (1) ◽  
pp. 245-257
Author(s):  
Xiaojing Chao ◽  
Xiaopeng Tan
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Rural Areas ◽  
Capital Investment ◽  
Human Capital Investment ◽  
Negative Influence ◽  
Income Disparity ◽  
Rural Income ◽  
Urban Rural ◽  
Urban And Rural Areas

The overall relation of urban-rural income inequality to economic growth is complex. As the widening income gap between urban and rural areas, the rural residents are unwilling and unable to invest in human capital, which restricts China’s long-term economic growth. By empirically analyzing Chinese provincial panel data from 1995 to 2012, we find the material capital investment and the human capital investment have highly significantly positive coefficients for explaining economic growth, however, the urban-rural income disparity is significantly negative for the human capital investment, moreover, the change shows that there is a negative influence of urban-rural income disparity on the economic growth.

scholarly journals Fiscal Behavior Volatility, Economic Growth, and Urban-Rural Income Disparity

2014 ◽  
Vol 2 (3) ◽  
pp. 217-225
Author(s):  
Yufeng Wang ◽  
Shulin Liu
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Local Governments ◽  
Economic Transition ◽  
Income Disparity ◽  
Dynamic Panel Model ◽  
Rural Income ◽  
Panel Model ◽  
Urban Rural ◽  
Fiscal Behavior

AbstractFiscal behavior of local governments has great volatility in China, especially in the period of economic transition. This paper estimates fiscal behavior volatility by making regression analysis of panel data of 30 provinces from 1994 to 2011. Then we establish a dynamic panel model to study the direct and indirect impact of the fiscal behavior volatility on the urban-rural income disparity. Empirical results show that urban-rural income disparity has nonlinear relationship with economic growth and financial development and that fiscal behavior volatility expands the urban-rural income disparity directly and indirectly. The larger fiscal behavior volatility comes greater urban-rural income disparity. We also find that the urban-rural income disparity is further enlarged through dual economic structure. If one of the economic growth and financial development is fixed, the other one has an inverted U-shaped relationship with urban-rural income disparity.

scholarly journals Effect of the International Tourism Island Policy on Hainan Farmers’ Income and the Urban–Rural Income Gap: An Analysis Based on the GPCA and SCM Models

2021 ◽  
Vol 25 (5) ◽  
pp. 592-600
Author(s):  
He Xia ◽  
Shaoying Wu ◽  
◽  
Keyword(s):  
Rural Areas ◽  
Control Method ◽  
Principal Component ◽  
International Tourism ◽  
Kuznets Curve ◽  
Synthetic Control ◽  
Income Gap ◽  
Rural Income ◽  
Urban Rural ◽  
Urban And Rural Areas

The construction of Hainan International Tourism Island, one of the national strategies in China, implemented in January 2010. A common concern is whether the policy has managed to raise farmers’ income and reduce the income gap between urban and rural residents. Therefore, this study aims to make counterfactual causal inferences based on data from 2005 to 2018 on Hainan Province. This study applies both the generalized principal component analysis method and the synthetic control method. According to the model results, the policy did not increase farmers’ income in Hainan or narrow the income gap between urban and rural areas in the first five years. However, after 2014, the result reversed. The increasing farmers’ income and narrowing gap indicate that the tourism-related Kuznets curve hypothesis is valid for the policy. The results of a placebo test verify the robustness of this conclusion.

scholarly journals Does High-Speed Railway Influence Convergence of Urban-Rural Income Gap in China?

2020 ◽  
Vol 12 (10) ◽  
pp. 4236
Author(s):  
Weidong Li ◽  
Xuefang Wang ◽  
Olli-Pekka Hilmola
Keyword(s):  
Rural Areas ◽  
High Speed ◽  
Factor Model ◽  
High Speed Railway ◽  
Income Gap ◽  
Rural Income ◽  
Convergence Clubs ◽  
Convergence Club ◽  
Urban Rural ◽  
Urban And Rural Areas

Transportation is an important factor affecting the balance of regional economic pattern. The construction of high-speed railway enhances the mobility of population, capital, technology and information resources between urban and rural areas. Will it further affect the income gap between urban and rural areas? Based on the nonlinear time-varying factor model, this paper analyzes the convergence of urban-rural income gap with the angle of high-speed railway. After rejecting the assumption of overall convergence in the traditional four economic regions, three convergence clubs of urban-rural income gap were found. For these ordered logit regression model is used to explore the initial factors that may affect the formation of “convergence club”. Empirical results show that the construction of High-speed railway has effectively narrows the urban-rural income gap in China, but it is not the cause of the formation of the three convergence clubs. The convergence effect of High-speed railway on the urban-rural income gap in China is still relatively weak.

scholarly journals Analysis on Integration Path of Urban and Rural Industries Based on Economic Data Model. A Case Study of Strategy Planning of Taiyuan Rural Revitalization

2019 ◽  
Author(s):  
Huimin Qi ◽  
◽  
Keyword(s):  
Rural Areas ◽  
Industrial Development ◽  
Industrial Structure ◽  
Aggregation Effect ◽  
Rural Income ◽  
Rural Revitalization ◽  
Urban Rural ◽  
Urbanization In China ◽  
Urban And Rural Areas ◽  
The Relationship

In the background of ongoing urbanization in China and prominent “dualistic” contradiction between urban and rural areas, rural revitalization is extremely urgent. Currently, common problems concerning industry, ecology and humanities exist in rural areas. This paper attempts to figure out the causes for differences in industrial development in rural areas on the basis of macro data analysis and industrial spatial distribution. Given the lack of quantitative analysis of the relationship between urban and rural development and industrial structure, this paper adopts SPSS statistical software to conduct regression analysis on the statistical data of Taiyuan City in the past ten years. Based on the relationship between industrial proportion and urban-rural income ratio, this paper proposes how the adjustment of urban industrial structure promotes the industrial development in surrounding rural areas and the narrowing of urban-rural income gap. From the perspective of rural industry undertaking or complementation with urban industry, this paper then puts forward the idea of undertaking the transfer industry within the scope of ensuring the aggregation effect of the city center and the carrying capacity of the ecological environment, proposing an industrial development path from agriculture to processing industry and then to culture, tourism and recreation industry for the villages in Taiyuan.

scholarly journals Urbanization and the Urban–Rural Income Gap in China: A Continuous Wavelet Coherency Analysis

2020 ◽  
Vol 12 (19) ◽  
pp. 8261
Author(s):  
Yiguo Chen ◽  
Peng Luo ◽  
Tsangyao Chang
Keyword(s):  
Rural Areas ◽  
Local Governments ◽  
Coordinated Development ◽  
High Frequencies ◽  
Income Gap ◽  
Rural Income ◽  
Urban Rural ◽  
Urban And Rural Areas ◽  
Wavelet Coherency ◽  
The Relationship

This study applies wavelet analysis to examine the relationship between the urbanization and the urban–rural income gap in 31 provinces in China over the period 1978–2019. We find three patterns of causality between urbanization and the urban–rural income gap. Empirical results show that urbanization does Granger-cause an urban–rural income gap, the urban–rural income gap does Granger-cause urbanization, and there exists a two-way causality between the urban–rural income gap and urbanization. Furthermore, these relationships mainly exist at high frequencies (short term). The results obtained by considering the resident population are more significant than those by the registered population. These results could help local governments develop fair policies for urban and rural income distribution in the process of urbanization of different provinces, promoting the coordinated development between urban and rural areas.

scholarly journals Spatiotemporal differentiation of urban-rural income disparity and its driving force in the Yangtze River Economic Belt during 2000-2017

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0245961
Author(s):  
Lingling Chen ◽  
Wei Shen
Keyword(s):  
Rural Areas ◽  
Spatial Differentiation ◽  
Economic Factors ◽  
Income Gap ◽  
Rural Income ◽  
Natural Factors ◽  
Urban Rural ◽  
Differentiation Pattern ◽  
Urban And Rural Areas ◽  
Socio Economic Factors

The income imbalance between urban and rural areas has seriously affected social fairness and justice and has become a key factor restricting the sustainable development of the economy and society. The analysis of the spatiotemporal laws and causes of urban-rural income disparity is of great significance to realizing the coordinated and integrated development of regional urban and rural areas. In this study, the coefficient of variation, Theil decomposition index, spatial autocorrelation method and GeoDetector model were used to analyze the spatiotemporal characteristics of the urban-rural income gap and its driving force in the Yangtze River Economic Belt from 2000 to 2017. The results show that the per capita disposable income of urban and rural residents in the study area shows a trend of rapid growth from 2000 to 2017. The urban-rural income gap in the study area showed an inverted "U"-shaped development process as a whole, and the relative difference showed an increasing trend. Regarding the spatial pattern, the study area showed a significant east-west differentiation pattern. The spatial distribution of the urban-rural income gap in the study area has an obvious positive spatial correlation, that is, the phenomena of high-value agglomeration and low-value agglomeration were significant. The economic development level, the industrial structure, the regional development policy, transportation, topographical conditions and resource endowments can strongly explain the spatial differentiation pattern of the urban-rural income gap in the study area. The spatial differentiation pattern of the urban-rural income gap is affected by both natural factors and socioeconomic factors. Among them, socioeconomic factors are the dominant factors, followed by natural factors. There is a significant interaction between natural factors and socio-economic factors, and the combination of socio-economic factors and adverse natural factors can significantly affect the regional urban-rural income gap.

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