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Can agglomeration of producer services reduce urban–rural income inequality? The case of China

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  • Jun Zhao
  • Xiucheng Dong
  • Kangyin Dong

Abstract

In this study, we construct a theoretical model and investigate the impact of agglomeration of producer services (APS) on urban–rural income inequality in China. The mediating effects are explored. Results indicate that the growth of APS can not only narrow China's urban–rural income gap directly, but also have an indirect negative effect on income inequality by promoting urbanisation evolution and human capital accumulation. Furthermore, the agglomeration of six sub‐industries is conducive to reducing the income gap. Among them, the agglomeration of the traffic, transport, storage and post has the greatest effect, while the effect of information transfer, computer services and software agglomeration is not significant. In addition, the results of regional heterogeneity show that only in the low APS region can APS and income inequality show bidirectional causality.

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  • Jun Zhao & Xiucheng Dong & Kangyin Dong, 2021. "Can agglomeration of producer services reduce urban–rural income inequality? The case of China," Australian Economic Papers, Wiley Blackwell, vol. 60(4), pages 736-762, December.
    • Handle: RePEc:bla:ausecp:v:60:y:2021:i:4:p:736-762
    DOI: 10.1111/1467-8454.12229
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    1. Andrés Erosa & Tatyana Koreshkova & Diego Restuccia, 2010. "How Important Is Human Capital? A Quantitative Theory Assessment of World Income Inequality," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(4), pages 1421-1449.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    4. Rubin, Amir & Segal, Dan, 2015. "The effects of economic growth on income inequality in the US," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 258-273.
    5. Nguyen Minh Ha & Nguyen Dang Le & Pham Trung-Kien, 2019. "The Impact of Urbanization on Income Inequality: A Study in Vietnam," JRFM, MDPI, vol. 12(3), pages 1-14, September.
    6. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521535380, January.
    7. Dong, Xiao-Ying & Hao, Yu, 2018. "Would income inequality affect electricity consumption? Evidence from China," Energy, Elsevier, vol. 142(C), pages 215-227.
    8. Shu-Chin Lin & Dong-Hyeon Kim & Yi-Chen Wu, 2013. "Foreign Direct Investment And Income Inequality: Human Capital Matters," Journal of Regional Science, Wiley Blackwell, vol. 53(5), pages 874-896, December.
    9. Maurice J. G. Bun & Frank Windmeijer, 2010. "The weak instrument problem of the system GMM estimator in dynamic panel data models," Econometrics Journal, Royal Economic Society, vol. 13(1), pages 95-126, February.
    10. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    11. Jong-Wha Lee & Hanol Lee, 2018. "Human capital and income inequality," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 23(4), pages 554-583, October.
    12. Imam Mukhlis & Isnawati Hidayah & Sariyani Sariyani, 2018. "Economic agglomeration, economic growth and income inequality in regional economy," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 10(2), pages 205-212.
    13. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    14. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521828284, January.
    15. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    16. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    17. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin, 2020. "Would environmental regulation improve the greenhouse gas benefits of natural gas use? A Chinese case study," Energy Economics, Elsevier, vol. 87(C).
    18. Vona, Francesco & Patriarca, Fabrizio, 2011. "Income inequality and the development of environmental technologies," Ecological Economics, Elsevier, vol. 70(11), pages 2201-2213, September.
    19. Fawaz, Fadi & Rahnamamoghadam, Masha & Valcarcel, Victor, 2014. "A Refinement of the Relationship between Economic Growth and Income Inequality in Developing Countries," MPRA Paper 55268, University Library of Munich, Germany.
    20. Yu, Kang & Xin, Xian & Guo, Ping & Liu, Xiaoyun, 2011. "Foreign direct investment and China's regional income inequality," Economic Modelling, Elsevier, vol. 28(3), pages 1348-1353, May.
    21. Shin, Inyong, 2012. "Income inequality and economic growth," Economic Modelling, Elsevier, vol. 29(5), pages 2049-2057.
    22. Meschi, Elena & Vivarelli, Marco, 2009. "Trade and Income Inequality in Developing Countries," World Development, Elsevier, vol. 37(2), pages 287-302, February.
    23. Madhu Sehrawat & Sanjay Kumar Singh, 2019. "Human capital and income inequality in India: is there a non-linear and asymmetric relationship?," Applied Economics, Taylor & Francis Journals, vol. 51(39), pages 4325-4336, August.
    24. Changkyu Choi, 2006. "Does foreign direct investment affect domestic income inequality?," Applied Economics Letters, Taylor & Francis Journals, vol. 13(12), pages 811-814.
    25. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    26. CHI, Wei, 2008. "The role of human capital in China's economic development: Review and new evidence," China Economic Review, Elsevier, vol. 19(3), pages 421-436, September.
    27. Ishak Shari, 2000. "Economic Growth And Income Inequality In Malaysia, 1971–95," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 5(1-2), pages 112-124.
    28. Imam Mukhlis & Isnawati Hidayah & Sariyani, 2018. "Economic agglomeration, economic growth and income inequality in regional economies," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 10(2), pages 205-212, Oktober.
    29. Wu, Jyun-Yi & Hsu, Chih-Chiang, 2012. "Foreign direct investment and income inequality: Does the relationship vary with absorptive capacity?," Economic Modelling, Elsevier, vol. 29(6), pages 2183-2189.
    30. Fadi Fawaz & Masha Rahnama & Victor J. Valcarcel, 2014. "A refinement of the relationship between economic growth and income inequality," Applied Economics, Taylor & Francis Journals, vol. 46(27), pages 3351-3361, September.
    31. Khairul Amri & Nazamuddin, 2018. "Is There Causality Relationship Between Economic Growth And Income Inequality?: Panel Data Evidence From Indonesia," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 6(2), pages 8-20.
    32. Dongjie Wu & Prasada Rao, 2017. "Urbanization and Income Inequality in China: An Empirical Investigation at Provincial Level," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(1), pages 189-214, March.
    33. Jiang, Hongdian & Dong, Xiucheng & Jiang, Qingzhe & Dong, Kangyin, 2020. "What drives China's natural gas consumption? Analysis of national and regional estimates," Energy Economics, Elsevier, vol. 87(C).
    34. Kennedy, Tom & Smyth, Russell & Valadkhani, Abbas & Chen, George, 2017. "Does income inequality hinder economic growth? New evidence using Australian taxation statistics," Economic Modelling, Elsevier, vol. 65(C), pages 119-128.
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    3. Haoyun Meng & Peidong Deng & Jinbo Zhang, 2022. "Nonlinear Impact of Circulation-Industry Intelligentization on the Urban–Rural Income Gap: Evidence from China," Sustainability, MDPI, vol. 14(15), pages 1-26, August.
    4. Wang, Jianda & Dong, Xiucheng & Dong, Kangyin, 2022. "How does ICT agglomeration affect carbon emissions? The case of Yangtze River Delta urban agglomeration in China," Energy Economics, Elsevier, vol. 111(C).
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    7. Yuxin Meng & Lu Liu & Qiying Ran, 2022. "Can Urban Green Transformation Reduce the Urban–Rural Income Gap? Empirical Evidence Based on Spatial Durbin Model and Mediation Effect Model," Sustainability, MDPI, vol. 14(24), pages 1-24, December.
    8. Dong, Kangyin & Dou, Yue & Jiang, Qingzhe, 2022. "Income inequality, energy poverty, and energy efficiency: Who cause who and how?," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    9. Luo, Haotian & Hu, Qing, 2024. "A re-examination of the influence of human capital on urban-rural income gap in China: College enrollment expansion, digital economy and spatial spillover," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 494-519.

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