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The relationship between China's income inequality and transport infrastructure, economic growth, and carbon emissions

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  • Jiekuan Zhang
  • Yan Zhang

Abstract

Since the beginning of the 21st century, accompanied by the tremendous achievements of China's economic growth is an increasingly severe income gap between the rich and the poor. Based on panel data from 2000 to 2018, this study systematically examined the relationship among transport infrastructure, economic growth, carbon emissions, and income inequality in China, using the panel vector autoregressive model estimated by the generalized method of moments. We further divided China into three regions to investigate the regional heterogeneity of these relationships. The results show a long‐run equilibrium relationship between transport infrastructure, economic growth, carbon emissions, and income inequality. Income inequality in the previous year significantly affects that in the current year positively. Whether at the national or regional level, economic growth affects income inequality negatively. For the national sample, the highway reduces income inequality, while the railway increases income inequality. For both the subsamples and the national sample, carbon emissions significantly increase income inequality and are the Granger test cause for income inequality. Furthermore, we discuss some of the possible mechanisms of these results. Our findings generate policy implications for reducing income inequality in regard to economic growth, transport infrastructure, and carbon emissions.

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  • Jiekuan Zhang & Yan Zhang, 2021. "The relationship between China's income inequality and transport infrastructure, economic growth, and carbon emissions," Growth and Change, Wiley Blackwell, vol. 52(1), pages 243-264, March.
  • Handle: RePEc:bla:growch:v:52:y:2021:i:1:p:243-264
    DOI: 10.1111/grow.12472
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    Cited by:

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    2. Emodi, Nnaemeka Vincent & Inekwe, John Nkwoma & Zakari, Abdulrasheed, 2022. "Transport infrastructure, CO2 emissions, mortality, and life expectancy in the Global South," Transport Policy, Elsevier, vol. 128(C), pages 243-253.
    3. Wanglin Ma & Puneet Vatsa & Hongyun Zheng & Emmanuel Donkor & Victor Owusu, 2023. "Does Adoption of Information and Communication Technology Reduce Objective and Subjective Well-Being Inequality? Evidence from China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(1), pages 55-77, September.
    4. Lu, Haiyan & Zhao, Pengjun & Hu, Haoyu & Zeng, Liangen & Wu, Kai Sheng & Lv, Di, 2022. "Transport infrastructure and urban-rural income disparity: A municipal-level analysis in China," Journal of Transport Geography, Elsevier, vol. 99(C).
    5. Tianmiao Guo & Jian Li & Fengyue Gao & Shuhua Zhang, 2023. "Examining the Impact of Market Segmentation on Carbon Emission Intensity in China," Sustainability, MDPI, vol. 15(24), pages 1-19, December.
    6. Mingzhao Xiong & Wenqi Li & Brian Sheng Xian Teo & Jaizah Othman, 2022. "Can China’s Digital Inclusive Finance Alleviate Rural Poverty? An Empirical Analysis from the Perspective of Regional Economic Development and an Income Gap," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    7. Shi Wang & Wen Zhang & Hua Wang & Jue Wang & Mu-Jun Jiang, 2021. "How Does Income Inequality Influence Environmental Regulation in the Context of Corruption? A Panel Threshold Analysis Based on Chinese Provincial Data," IJERPH, MDPI, vol. 18(15), pages 1-18, July.
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    9. Liu, Nian & Qian, Yihe & Gu, Xinhua & Li, Guoqiang, 2024. "Digital technology, e-commerce, and economic inequality: The case of China," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 259-271.

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