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What has caused regional income inequality in China? Effects of 10 socioeconomic factors on per capita income

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Abstract

This study analyzes the driving factors behind regional income inequality to provide an important reference for China and other developing countries and to support the formulation of more effective regional development policies. The study used data from 625 county-level administrative units in China in 2017 and conducted a total factor analysis of China's regional income based on 10 economic dimensions using spatially explicit regression methods. The results show that commerce, population footprint, industrialization, and investment are the main factors that affected a Chinese region’s income, but different factors have different degrees of influence in different regions. The impact of economic institutions (developing an institutionally diverse market economy) on income cannot be ignored. Based on our findings, China should give local governments more autonomy, so they can formulate strategies that account for local constraints and opportunities, thereby increasing their chances of decreasing regional income inequality.

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References

  • Akai, N., & Sakata, M. (2002). Fiscal decentralization contributes to economic growth: Evidence from state-level cross-section data for the United States. Journal of Urban Economics, 52(1), 93–108.

    Article  Google Scholar 

  • Ansar, A., Flyvbjerg, B., Budzier, A., & Lunn, D. (2016). Does infrastructure investment lead to economic growth or economic fragility? Evidence from China. Oxford Review of Economic Policy, 32, 360–390.

    Article  Google Scholar 

  • Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115.

    Article  Google Scholar 

  • Anselin, L., & Rey, S. (1991). Properties of tests for spatial dependence in linear regression models. Geographical Analysis, 23(2), 112–131.

    Article  Google Scholar 

  • Baloch, A., Shah, S. Z., Noor, Z. M., & Magsi, H. B. (2018). The nexus between income inequality, economic growth and environmental degradation in Pakistan. GeoJournal, 83(2), 207–222.

    Article  Google Scholar 

  • Borger, B. D., & Proost, S. (2013). Traffic externalities in cities: the economics of speed bumps, low emission zones and city bypasses. Journal of Urban Economics, 76, 53–70.

    Article  Google Scholar 

  • Bourreau, M., Cambini, C., & Hoernig, S. (2015). Geographic access markets and investments. Information Economics and Policy, 31, 13–21.

    Article  Google Scholar 

  • Bastos, P. (2020). Exposure of belt and road economies to China trade shocks. Journal of Development Economics, 145, 102474.

    Article  Google Scholar 

  • Cai, Z., Liu, Z., Zuo, S., & Cao, S. (2019). Finding a peaceful road to urbanization in China. Land Use Policy, 83, 560–563.

    Article  Google Scholar 

  • Cao, S., & Zheng, H. (2016). Climate change adaptation to escape the poverty trap: Role of the private sector. Ecosystem Health and Sustainability, 2(10), e01244.

    Article  Google Scholar 

  • Chen, J., Chang, K., Karacsonyi, D., & Zhang, X. (2014). Comparing urban land expansion and its driving factors in Shenzhen and Dongguan, China. Habitat International, 43, 61–71.

    Article  CAS  Google Scholar 

  • Chen, J., & Fleisher, B. M. (1996). Regional income inequality and economic growth in China. Journal of Comparative Economics, 22(2), 141–164.

    Article  Google Scholar 

  • Chen, J., Wang, Y., Wen, J., Fang, F., & Song, M. (2016). The influences of aging population and economic growth on Chinese rural poverty. Journal of Rural Studies, 47, 665–676.

    Article  Google Scholar 

  • Cheng, W., & Lee, L. (2017). Testing endogeneity of spatial and social networks. Regional Science and Urban Economics, 64, 81–97.

    Article  Google Scholar 

  • Chi, W. (2012). Capital income and income inequality: Evidence from urban China. Journal of Comparative Economics, 40(2), 228–239.

    Article  Google Scholar 

  • Chin, G. (2015). Attacking the problem of extreme poverty. Science, 348, 768–768.

    Google Scholar 

  • Dong, F., Li, X., Long, R., & Liu, X. (2013). Regional carbon emission performance in China according to a stochastic frontier model. Renewable and Sustainable Energy Reviews, 28, 525–530.

    Article  Google Scholar 

  • Fleisher, B. M., Li, H., & Zhao, M. (2010). Human capital, economic growth, and regional inequality in China. Journal of Development Economics, 92, 215–231.

    Article  Google Scholar 

  • Fraumeni, B. M., He, J., Li, H., & Liu, Q. (2019). Regional distribution and dynamics of human capital in China 1985–2014. Journal of Comparative Economics, 47, 853–866.

    Article  Google Scholar 

  • Fum, R. M., & Hodler, R. (2010). Natural resources and income inequality: The role of ethnic divisions. Economics Letters, 107(3), 360–363.

    Article  Google Scholar 

  • Gao, Q., Yang, S., & Li, S. (2015). Welfare, targeting, and anti-poverty effectiveness: The case of urban China. Quarterly Review of Economics and Finance, 56, 30–42.

    Article  Google Scholar 

  • Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46, 1251–1272.

    Article  Google Scholar 

  • Huang, H., Roland-Holst, D., Wang, C., & Cai, W. (2020). China’s income gap and inequality under clean energy transformation: A CGE model assessment. Journal of Cleaner Production, 251, 119626.

    Article  Google Scholar 

  • Hao, Y., & Liu, Y. M. (2016). The influential factors of urban PM2.5 concentrations in China: A spatial econometric analysis. Journal of Cleaner Production, 112, 1443–1453.

    Article  CAS  Google Scholar 

  • Hassan, M. S., Bukhari, S., & Arshed, N. (2020). Competitiveness, governance and globalization: What matters for poverty alleviation? Environment, Development and Sustainability, 22, 3491–3518.

    Article  Google Scholar 

  • Iimi, A. (2005). Decentralization and economic growth revisited: An empirical note. Journal of Urban Economics, 57(3), 449–461.

    Article  Google Scholar 

  • Khan, H. (2008). Poverty, environment and economic growth: Exploring the links among three complex issues with specific focus on the Pakistan’s case. Environment, Development and Sustainability, 10, 913–929.

    Article  Google Scholar 

  • Lee, J. C. (2013). A provincial perspective on income inequality in urban China and the role of property and business income. China Economic Review, 26, 140–150.

    Article  Google Scholar 

  • Li, M., Gan, C., Ma, W., & Jiang, W. (2020). Impact of cash crop cultivation on household income and migration decisions: Evidence from low-income regions in China. Journal of Integrative Agriculture, 19, 2571–2581.

    Article  Google Scholar 

  • Liao, F. H., & Wei, Y. D. (2015). Space, scale, and regional inequality in provincial China: A spatial filtering approach. Applied Geography, 61, 94–104.

    Article  Google Scholar 

  • Liu, G., & Zhang, C. (2020). Does financial structure matter for economic growth in China? China Economic Review, 61, 101194.

    Article  Google Scholar 

  • Liu, Y., & Xu, Y. (2016). A geographic identification of multidimensional poverty in rural China under the framework of sustainable livelihoods analysis. Applied Geography, 73, 62–76.

    Article  Google Scholar 

  • Lu, Y., Zhang, Y., Gao, X., Wang, C., Wang, Y., Zhang, M., et al. (2019). Forty years of reform and opening up: China’s progress toward a sustainable path. Science, 5(8), eaau9413.

    Google Scholar 

  • Ma, L., & Tang, Y. (2020). Geography, trade, and internal migration in China. Journal of Urban Economics, 115, 103181.

    Article  Google Scholar 

  • Meng, X. (2004). Economic restructuring and income inequality in urban China. Review of Income and Wealth, 50(3), 357–379.

    Article  Google Scholar 

  • Murphy, K. M., Andrei, S., & Robert, V. (1989). Income distribution, market size, and industrialization. Quarterly Journal of Economics, 3, 537–564.

    Article  Google Scholar 

  • NBS (National Bureau of Statistics). (1979–2018) China Statistical Yearbook. China Statistics Press, Beijing.

  • Nguyen, H., Doan, T., Tuyen, Q., & Tran, T. Q. (2020). The effect of various income sources on income inequality: A comparison across ethnic groups in Vietnam. Environment, Development and Sustainability, 22, 813–834.

    Article  Google Scholar 

  • Pedroni, P., & Yao, J. Y. (2006). Regional income divergence in China. Journal of Asian Economics, 17, 294–315.

    Article  Google Scholar 

  • Pace, R. K., & LeSage, J. P. (2008). A spatial Hausman test. Economics Letters, 101(3), 282–284.

    Article  Google Scholar 

  • Qin, D., Cagas, M. A., Ducanes, G., He, X., Liu, R., & Liu, S. (2009). Effects of income inequality on China’s economic growth. Journal of Policy Modeling, 31, 69–86.

    Article  Google Scholar 

  • Qureshi, S., & Najjar, L. (2017). Information and communications technology use and income growth: Evidence of the multiplier effect in very small island states. Information Technology for Development, 23(2), 212–234.

    Article  Google Scholar 

  • Rana, M. M. P. (2011). Urbanization and sustainability: Challenges and strategies for sustainable urban development in Bangladesh. Environment, Development and Sustainability, 13, 237–256.

    Article  Google Scholar 

  • Ren, Z., Ge, Y., Wang, J., Mao, J., Wang, X., & Zhang, Q. (2017). Understanding the inconsistent relationships between socioeconomic factors and poverty incidence across contiguous poverty-stricken regions in China: Multilevel modelling. Spatial Statistics, 21, 406–420.

    Article  Google Scholar 

  • Saboor, A., Sadiq, S., Khan, A. U., & Hameed, G. (2017). Dynamic reflections of crimes, quasi democracy and misery index in Pakistan. Social Indicators Research, 133, 31–45.

    Article  Google Scholar 

  • Shang, D., Liu, G., & Cao, S. (2016). Why are Chinese ethics declining? Time and Society, 28, 438–453.

    Article  Google Scholar 

  • Sheng, J., Han, X., & Zhou, H. (2017). Spatially varying patterns of afforestation/reforestation and socio-economic factors in China: a geographically weighted regression approach. Journal of Cleaner Production, 153, 362–371.

    Article  Google Scholar 

  • Shi, K., Chang, Z., Chen, Z., Wu, J., & Yu, B. (2020). Identifying and evaluating poverty using multisource remote sensing and point of interest (POI) data: A case study of Chongqing China. Journal of Cleaner Production, 255, 120245.

    Article  Google Scholar 

  • Tian, X., Hu, Y., Yin, H., Geng, Y., & Bleischwitz, R. (2019). Trade impacts of China’s belt and road initiative: From resource and environmental perspectives. Resources, Conservation and Recycling, 150, 104430.

    Article  Google Scholar 

  • Whitehead, M., Dahlgren, G., & Evans, T. (2001). Equity and health sector reforms: Can low-income countries escape the medical poverty trap? The Lancet, 358(9284), 833–836.

    Article  CAS  Google Scholar 

  • Wang, Y., Chen, W., Kang, Y., Li, W., & Guo, F. (2018). Spatial correlation of factors affecting CO2 emission at provincial level in China: A geographically weighted regression approach. Journal of Cleaner Production, 184, 929–937.

    Article  CAS  Google Scholar 

  • Wang, Z. (2006). The growth of China’s private sector: A case study of Zhejiang Province. China and World Economy, 14, 109–120.

    Article  Google Scholar 

  • World Bank (2018). Decline of global extreme poverty continues but has slowed: World Bank. https://www.worldbank.org/en/news/press-release/2018/09/19/decline-of-global-extreme-poverty-continues-but-has-slowed-world-bank

  • Xu, B., & Lin, B. (2017). Factors affecting CO2 emissions in China’s agriculture sector: Evidence from geographically weighted regression model. Energy Policy, 104, 404–414.

    Article  Google Scholar 

  • Yuan, J., Lu, Y., Wang, C., Cao, X., Chen, C., Cui, H., et al. (2020). Ecology of industrial pollution in China. Ecosystem Health and Sustainability, 6, 1779010.

    Article  Google Scholar 

  • Yueh, L. (2010). Thirty years of legal and economic reform in China: growth, institutions, and laws. Journal of Chinese Economic and Business Studies, 8, 117–132.

    Article  Google Scholar 

  • Zhang, C., & Zhao, W. (2014). Panel estimation for income inequality and CO2, emissions: a regional analysis in China. Applied Energy, 136, 382–392.

    Article  Google Scholar 

  • Zhang, M., Zhou, G., & Fan, G. (2019). Political control and economic inequality: Evidence from Chinese cities. China Economic Review, 61, 101272.

    Article  Google Scholar 

  • Zhang, Q., & Chen, R. (2015). Financial development and income inequality in China: An application of SVAR approach. Procedia Computer Science, 55, 774–781.

    Article  Google Scholar 

  • Zhang, Q. W., & Su, S. L. (2016). Determinants of urban expansion and their relative importance: A comparative analysis of 30 major metropolitans in China. Habitat International, 58, 89–107.

    Article  Google Scholar 

  • Zhou, J., Zhang, X., & Shen, L. (2015). Urbanization bubble: Four quadrants measurement model. Cities, 46, 8–15.

    Article  Google Scholar 

  • Zhou, J., & Zhao, W. (2019). Contributions of education to inequality of opportunity in income: A counterfactual estimation with data from China. Research in Social Stratification and Mobility, 59, 60–70.

    Article  Google Scholar 

  • Zhou, Y., Guo, Y., Liu, Y., Wu, W., & Li, Y. (2018). Targeted poverty alleviation and land policy innovation: Some practice and policy implications from China. Land Use Policy, 74, 53–65.

    Article  Google Scholar 

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Acknowledgements

This work was supported by the National Key Technology R and D Program (No. 2016YFC0501002). We thank Geoffrey Hart (Montréal, Canada) for editing an early version of this paper. We are also grateful for the comments and criticisms of the journal's anonymous reviewers and our colleagues.

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S.CAO designed the research; W.LI and Z.CAI performed the data analysis and wrote the main manuscript text. All authors have reviewed the manuscript and approved it for submission.

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Correspondence to Shixiong Cao.

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Li, W., Cai, Z. & Cao, S. What has caused regional income inequality in China? Effects of 10 socioeconomic factors on per capita income. Environ Dev Sustain 23, 13403–13417 (2021). https://doi.org/10.1007/s10668-020-01218-7

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