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A Spatial Panel Data Analysis of Economic Growth, Urbanization, and NO x Emissions in China

Author

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  • Xiangyu Ge

    (School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Zhimin Zhou

    (School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Yanli Zhou

    (School of Finance, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Xinyue Ye

    (Computational Social Science Laboratory, Kent State University, Kent, OH 44240, USA)

  • Songlin Liu

    (Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, China)

Abstract

Is nitrogen oxides emissions spatially correlated in a Chinese context? What is the relationship between nitrogen oxides emission levels and fast-growing economy/urbanization? More importantly, what environmental preservation and economic developing policies should China’s central and local governments take to mitigate the overall nitrogen oxides emissions and prevent severe air pollution at the provincial level in specific locations and their neighboring areas? The present study aims to tackle these issues. This is the first research that simultaneously studies the nexus between nitrogen oxides emissions and economic development/urbanization, with the application of a spatial panel data technique. Our empirical findings suggest that spatial dependence of nitrogen oxides emissions distribution exists at the provincial level. Through the investigation of the existence of an environmental Kuznets curve (EKC) embedded within the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) framework, we conclude something interesting: an inverse N-shaped EKC describes both the income-nitrogen oxides nexus and the urbanization-nitrogen oxides nexus. Some well-directed policy advice is provided to reduce nitrogen oxides in the future. Moreover, these results contribute to the literature on development and pollution.

Suggested Citation

  • Xiangyu Ge & Zhimin Zhou & Yanli Zhou & Xinyue Ye & Songlin Liu, 2018. "A Spatial Panel Data Analysis of Economic Growth, Urbanization, and NO x Emissions in China," IJERPH, MDPI, vol. 15(4), pages 1-20, April.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:4:p:725-:d:140616
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    References listed on IDEAS

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    2. Xing, Licong & Khan, Yousaf Ali & Arshed, Noman & Iqbal, Mubasher, 2023. "Investigating the impact of economic growth on environment degradation in developing economies through STIRPAT model approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    3. Haider Mahmood & Muhammad Tanveer & Maham Furqan, 2021. "Rule of Law, Corruption Control, Governance, and Economic Growth in Managing Renewable and Nonrenewable Energy Consumption in South Asia," IJERPH, MDPI, vol. 18(20), pages 1-19, October.
    4. Emad Kazemzadeh & José Alberto Fuinhas & Narges Salehnia & Fariba Osmani, 2023. "The effect of economic complexity, fertility rate, and information and communication technology on ecological footprint in the emerging economies: a two-step stirpat model and panel quantile regressio," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 737-763, February.
    5. Haider Mahmood & Tarek Tawfik Yousef Alkhateeb & Muhammad Tanveer & Doaa H. I. Mahmoud, 2021. "Testing the Energy-Environmental Kuznets Curve Hypothesis in the Renewable and Nonrenewable Energy Consumption Models in Egypt," IJERPH, MDPI, vol. 18(14), pages 1-17, July.
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    7. Qudsia Kanwal & Xianlai Zeng & Jinhui Li, 2023. "Measuring the recycling potential of industrial waste for long-term sustainability," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    8. Shi Wang & Yizhou Yuan & Hua Wang, 2019. "Corruption, Hidden Economy and Environmental Pollution: A Spatial Econometric Analysis Based on China’s Provincial Panel Data," IJERPH, MDPI, vol. 16(16), pages 1-23, August.
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