Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i4p725-d140616.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/4/725/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/15/4/725/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    2. Song, Ma-Lin & Zhang, Wei & Wang, Shu-Hong, 2013. "Inflection point of environmental Kuznets curve in Mainland China," Energy Policy, Elsevier, vol. 57(C), pages 14-20.
    3. Song, Tao & Zheng, Tingguo & Tong, Lianjun, 2008. "An empirical test of the environmental Kuznets curve in China: A panel cointegration approach," China Economic Review, Elsevier, vol. 19(3), pages 381-392, September.
    4. Markusen, James R. & Morey, Edward R. & Olewiler, Nancy, 1995. "Competition in regional environmental policies when plant locations are endogenous," Journal of Public Economics, Elsevier, vol. 56(1), pages 55-77, January.
    5. Brantley Liddle, 2003. "Demographic dynamics and per capita environmental impact: using panel regressions and household decompositions to examine population and transport," MPIDR Working Papers WP-2003-029, Max Planck Institute for Demographic Research, Rostock, Germany.
    6. Panayotou, Theodore, 1997. "Demystifying the environmental Kuznets curve: turning a black box into a policy tool," Environment and Development Economics, Cambridge University Press, vol. 2(4), pages 465-484, November.
    7. Robert J. Hill & Elisabetta Magnani, 2002. "An Exploration of the Conceptual and Empirical Basis of the Environmental Kuznets Curve," Australian Economic Papers, Wiley Blackwell, vol. 41(2), pages 239-254, June.
    8. Torras, Mariano & Boyce, James K., 1998. "Income, inequality, and pollution: a reassessment of the environmental Kuznets Curve," Ecological Economics, Elsevier, vol. 25(2), pages 147-160, May.
    9. Anil Rupasingha, 2009. "Value-Added Agricultural Enterprises and Local Economic Performance," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(3), pages 511-534, September.
    10. Giacomini, Raffaella & Granger, Clive W. J., 2004. "Aggregation of space-time processes," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 7-26.
    11. Zhimin Zhou & Xinyue Ye & Xiangyu Ge, 2017. "The Impacts of Technical Progress on Sulfur Dioxide Kuznets Curve in China: A Spatial Panel Data Approach," Sustainability, MDPI, vol. 9(4), pages 1-27, April.
    12. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    13. Luc Anselin, 2001. "Spatial Effects in Econometric Practice in Environmental and Resource Economics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 705-710.
    14. Luc Anselin & Daniel A. Griffith, 1988. "Do Spatial Effecfs Really Matter In Regression Analysis?," Papers in Regional Science, Wiley Blackwell, vol. 65(1), pages 11-34, January.
    15. Maddison, David, 2006. "Environmental Kuznets curves: A spatial econometric approach," Journal of Environmental Economics and Management, Elsevier, vol. 51(2), pages 218-230, March.
    16. Jin Guo & Yingzhi Xu & Zhengning Pu, 2016. "Urbanization and Its Effects on Industrial Pollutant Emissions: An Empirical Study of a Chinese Case with the Spatial Panel Model," Sustainability, MDPI, vol. 8(8), pages 1-15, August.
    17. Fredriksson, Per G. & Millimet, Daniel L., 2002. "Strategic Interaction and the Determination of Environmental Policy across U.S. States," Journal of Urban Economics, Elsevier, vol. 51(1), pages 101-122, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhen Yang & Weijun Gao & Jiawei Li, 2022. "Can Economic Growth and Environmental Protection Achieve a “Win–Win” Situation? Empirical Evidence from China," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
    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.
    6. Jiajia Li & Yucong Liu & Houjian Li & Abbas Ali Chandio, 2021. "Heterogeneous Driving Factors of Carbon Emissions Embedded in China’s Export: An Application of the LASSO Model," IJERPH, MDPI, vol. 18(19), pages 1-18, October.
    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.
    9. Tifang Ye & Hao Zheng & Xiangyu Ge & Keling Yang, 2021. "Pathway of Green Development of Yangtze River Economics Belt from the Perspective of Green Technological Innovation and Environmental Regulation," IJERPH, MDPI, vol. 18(19), pages 1-26, October.
    10. Xiao Gong & Jianing Mi & Chunyan Wei & Ruitao Yang, 2019. "Measuring Environmental and Economic Performance of Air Pollution Control for Province-Level Areas in China," IJERPH, MDPI, vol. 16(8), pages 1-19, April.
    11. Jiajia Li & Abbas Ali Chandio & Yucong Liu, 2020. "Trade Impacts on Embodied Carbon Emissions—Evidence from the Bilateral Trade between China and Germany," IJERPH, MDPI, vol. 17(14), pages 1-19, July.
    12. Xiaohong Chen & Guodong Yi & Jia Liu & Xiang Liu & Yang Chen, 2018. "Evaluating Economic Growth, Industrial Structure, and Water Quality of the Xiangjiang River Basin in China Based on a Spatial Econometric Approach," IJERPH, MDPI, vol. 15(10), pages 1-18, September.
    13. Yogeeswari Subramaniam, 2024. "Investigating the impact of a green economy on the EKC hypothesis: Evidence from European countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 21689-21708, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aslanidis Nektarios, 2009. "Environmental Kuznets curves for carbon emissions: A critical survey," wp.comunite 0051, Department of Communication, University of Teramo.
    2. Chun Liu & Gui-hua Nie, 2021. "Identifying the Driving Factors of Food Nitrogen Footprint in China, 2000–2018: Econometric Analysis of Provincial Spatial Panel Data by the STIRPAT Model," Sustainability, MDPI, vol. 13(11), pages 1-23, May.
    3. Zhimin Zhou, 2019. "The Underground Economy and Carbon Dioxide (CO 2 ) Emissions in China," Sustainability, MDPI, vol. 11(10), pages 1-20, May.
    4. Nektarios Aslanidis, 2009. "Environmental Kuznets Curves for Carbon Emissions: A Critical Survey," Working Papers 2009.75, Fondazione Eni Enrico Mattei.
    5. Zhao, Jing & Zhao, Ziru & Zhang, Huan, 2021. "The impact of growth, energy and financial development on environmental pollution in China: New evidence from a spatial econometric analysis," Energy Economics, Elsevier, vol. 93(C).
    6. Sabuj Kumar Mandal & Devleena Chakravarty, 2017. "Role of energy in estimating turning point of Environmental Kuznets Curve: an econometric analysis of the existing studies," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 19(2), pages 387-401, October.
    7. He, Jie & Richard, Patrick, 2010. "Environmental Kuznets curve for CO2 in Canada," Ecological Economics, Elsevier, vol. 69(5), pages 1083-1093, March.
    8. Pascalau, Razvan & Qirjo, Dhimitri, 2017. "TTIP and the Environmental Kuznets Curve," MPRA Paper 80192, University Library of Munich, Germany.
    9. Hao, Yu & Zhang, Zong-Yong & Liao, Hua & Wei, Yi-Ming, 2015. "China’s farewell to coal: A forecast of coal consumption through 2020," Energy Policy, Elsevier, vol. 86(C), pages 444-455.
    10. Aslanidis, Nektarios, 2009. "Environmental Kuznets Curves for Carbon Emissions: A Critical Survey," Working Papers 2072/15847, Universitat Rovira i Virgili, Department of Economics.
    11. Lv, Zhike & Gao, Zhenya, 2021. "The effect of corruption on environmental performance: Does spatial dependence play a role?," Economic Systems, Elsevier, vol. 45(2).
    12. Li, Tingting & Wang, Yong & Zhao, Dingtao, 2016. "Environmental Kuznets Curve in China: New evidence from dynamic panel analysis," Energy Policy, Elsevier, vol. 91(C), pages 138-147.
    13. Carson, Richard T, 2009. "Searching for Empirical Regularity and Theoretical Structure: The Environmental Kuznets Curve," University of California at San Diego, Economics Working Paper Series qt4m6263c2, Department of Economics, UC San Diego.
    14. Piaggio, Matías & Padilla, Emilio, 2012. "CO2 emissions and economic activity: Heterogeneity across countries and non-stationary series," Energy Policy, Elsevier, vol. 46(C), pages 370-381.
    15. D. Jingyuan I. & L. Chong I. & L. Marsiliani & D. Jingyuan I. & L. Chong I. & L. Marsiliani, 2018. "Взаимосвязь между экономическим ростом и окружающей средой в Пекине на основе показателя PM2.5 // The Relationship between Growth and the Environment in Beijing, Using PM2.5 Concentrations," Review of Business and Economics Studies // Review of Business and Economics Studies, Финансовый Университет // Financial University, vol. 6(2), pages 5-18.
    16. Marzio Galeotti, 2007. "Economic Growth And The Quality Of The Environment: Taking Stock," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 9(4), pages 427-454, November.
    17. Zhimin Zhou & Xinyue Ye & Xiangyu Ge, 2017. "The Impacts of Technical Progress on Sulfur Dioxide Kuznets Curve in China: A Spatial Panel Data Approach," Sustainability, MDPI, vol. 9(4), pages 1-27, April.
    18. Park, Soonae & Lee, Youngmi, 2011. "Regional model of EKC for air pollution: Evidence from the Republic of Korea," Energy Policy, Elsevier, vol. 39(10), pages 5840-5849, October.
    19. Marzio Galeotti, 2003. "Economic Development and Environmental Protection," Working Papers 2003.89, Fondazione Eni Enrico Mattei.
    20. Nordström, Håkan & Vaughan, Scott, 1999. "Trade and the environment," WTO Special Studies, World Trade Organization (WTO), Economic Research and Statistics Division, volume 4, number 4.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:4:p:725-:d:140616. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.