IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i8p4194-d533004.html
   My bibliography  Save this article

Evaluation and Influencing Factors of Industrial Pollution in Jilin Restricted Development Zone: A Spatial Econometric Analysis

Author

Listed:
  • Yanhua Guo

    (College of Geographical Science, Northeast Normal University, Changchun 130024, China
    Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Lianjun Tong

    (Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Lin Mei

    (College of Geographical Science, Northeast Normal University, Changchun 130024, China)

Abstract

Winning the battle against pollution and strengthening ecological protection in all respects are vital for promoting green development and building a moderately prosperous ecological civilization in China. Using the entropy weight method, this paper establishes and evaluates a comprehensive industrial pollution index that contains and synthesizes six major industrial pollutants (wastewater, COD, waste gas, SO 2 , NO x , and solid waste) in the 2006–2015 period. Subsequently, this paper studies the spatiotemporal characteristics and influencing factors of industrial pollution via the Moran index and spatial econometric analysis. The empirical results indicate that (1) the temporal evolution of the industrial pollution index is characterized by an overall trend of first decreasing and then increasing. (2) The industrial pollution index of each county has certain geographical disparities and significant spatially polarized characteristics in 2006, 2009, 2012, and 2015. (3) The Moran test shows that there is a relatively significant spatial autocorrelation of the industrial pollution index among counties and that the geographical distribution of the industrial pollution index tends to show clustering. (4) Spatial regression models that incorporate spatial factors better explain the influencing factors of industrial pollution. The economic development level, technological progress, and industrialization are negatively correlated with industrial pollution, while population density and industrial production capacity are positively correlated. (5) Consequently, as relevant policy recommendations, this paper proposes that environmental cooperation linkage mechanisms, environmental protection credit systems, and green technology innovation systems should be established in different geographical locations to achieve the goals of green county construction and sustainable development.

Suggested Citation

  • Yanhua Guo & Lianjun Tong & Lin Mei, 2021. "Evaluation and Influencing Factors of Industrial Pollution in Jilin Restricted Development Zone: A Spatial Econometric Analysis," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4194-:d:533004
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/8/4194/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/8/4194/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. He, Jie, 2009. "China's industrial SO2 emissions and its economic determinants: EKC's reduced vs. structural model and the role of international trade," Environment and Development Economics, Cambridge University Press, vol. 14(2), pages 227-262, April.
    2. Sanchez, Luis F. & Stern, David I., 2016. "Drivers of industrial and non-industrial greenhouse gas emissions," Ecological Economics, Elsevier, vol. 124(C), pages 17-24.
    3. 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.
    4. He, Jie, 2006. "Pollution haven hypothesis and environmental impacts of foreign direct investment: The case of industrial emission of sulfur dioxide (SO2) in Chinese provinces," Ecological Economics, Elsevier, vol. 60(1), pages 228-245, November.
    5. Tapio, Petri, 2005. "Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001," Transport Policy, Elsevier, vol. 12(2), pages 137-151, March.
    6. Xiangyu Teng & Liang Chun Lu & Yung-ho Chiu, 2018. "Considering Emission Treatment for Energy-Efficiency Improvement and Air Pollution Reduction in China’s Industrial Sector," Sustainability, MDPI, vol. 10(11), pages 1-18, November.
    7. Selden Thomas M. & Song Daqing, 1994. "Environmental Quality and Development: Is There a Kuznets Curve for Air Pollution Emissions?," Journal of Environmental Economics and Management, Elsevier, vol. 27(2), pages 147-162, September.
    8. Hao, Yu & Liu, Yiming & Weng, Jia-Hsi & Gao, Yixuan, 2016. "Does the Environmental Kuznets Curve for coal consumption in China exist? New evidence from spatial econometric analysis," Energy, Elsevier, vol. 114(C), pages 1214-1223.
    9. J. Paul Elhorst, 2003. "The Mystery of Regional Unemployment Differentials: Theoretical and Empirical Explanations," Journal of Economic Surveys, Wiley Blackwell, vol. 17(5), pages 709-748, December.
    10. J. Paul Elhorst, 2014. "Matlab Software for Spatial Panels," International Regional Science Review, , vol. 37(3), pages 389-405, July.
    11. Hosseini, Hossein Mirshojaeian & Kaneko, Shinji, 2013. "Can environmental quality spread through institutions?," Energy Policy, Elsevier, vol. 56(C), pages 312-321.
    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. Xiaojun Zhang & Weiqiao Wang & Yunan Bai & Yong Ye, 2022. "How Has China Structured Its Ecological Governance Policy System?—A Case from Fujian Province," IJERPH, MDPI, vol. 19(14), pages 1-22, July.
    2. Weijie Jiang & Kairui Cao & Laiqun Jin & Yongyi Cheng & Qunfang Xu, 2022. "How Do China’s Development Zones Affect Environmental Pollution under Government Domination," Sustainability, MDPI, vol. 14(7), pages 1-18, March.
    3. Xin Jin & Geoffrey Q. P. Shen & Qian-Cheng Wang & E. M. A. C. Ekanayake & Siqi Fan, 2021. "Promoting Construction Industrialisation with Policy Interventions: A Holistic Review of Published Policy Literature," IJERPH, MDPI, vol. 18(23), pages 1-23, November.
    4. Fan Liu & Shuling Zhou & Yaliu Yang & Conghu Liu, 2022. "Research on Industrial Ecological Efficiency Evaluation and Improvement Countermeasures Based on Data-Driven Evaluations from 30 Provinces and Cities in China," Sustainability, MDPI, vol. 14(14), pages 1-15, July.

    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. Lee, Sanghoon & Oh, Dae-Won, 2015. "Economic growth and the environment in China: Empirical evidence using prefecture level data," China Economic Review, Elsevier, vol. 36(C), pages 73-85.
    2. Letisha S. Fong & Alberto Salvo & David Taylor, 2020. "Evidence of the environmental Kuznets curve for atmospheric pollutant emissions in Southeast Asia and implications for sustainable development: A spatial econometric approach," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(5), pages 1441-1456, September.
    3. Lv, Zhike & Gao, Zhenya, 2021. "The effect of corruption on environmental performance: Does spatial dependence play a role?," Economic Systems, Elsevier, vol. 45(2).
    4. He, Jie, 2010. "What is the role of openness for China's aggregate industrial SO2 emission?: A structural analysis based on the Divisia decomposition method," Ecological Economics, Elsevier, vol. 69(4), pages 868-886, February.
    5. José M. Cansino & Rocio Román-Collado & Juan C. Molina, 2019. "Quality of Institutions, Technological Progress, and Pollution Havens in Latin America. An Analysis of the Environmental Kuznets Curve Hypothesis," Sustainability, MDPI, vol. 11(13), pages 1-20, July.
    6. Yang, Haisheng & He, Jie & Chen, Shaoling, 2015. "The fragility of the Environmental Kuznets Curve: Revisiting the hypothesis with Chinese data via an “Extreme Bound Analysis”," Ecological Economics, Elsevier, vol. 109(C), pages 41-58.
    7. Matthew A. Cole & Robert J.R. Elliott & Jing Zhang, 2011. "Growth, Foreign Direct Investment, And The Environment: Evidence From Chinese Cities," Journal of Regional Science, Wiley Blackwell, vol. 51(1), pages 121-138, February.
    8. Canfei He & Fenghua Pan & Yan Yan, 2012. "Is Economic Transition Harmful to China’s Urban Environment? Evidence from Industrial Air Pollution in Chinese Cities," Urban Studies, Urban Studies Journal Limited, vol. 49(8), pages 1767-1790, June.
    9. Shahbaz, Muhammad & Nasreen, Samia & Abbas, Faisal & Anis, Omri, 2015. "Does foreign direct investment impede environmental quality in high-, middle-, and low-income countries?," Energy Economics, Elsevier, vol. 51(C), pages 275-287.
    10. Muhammad Shahbaz & Samia Nasreen & Talat Afza, 2014. "Environmental Consequences of Economic Growth and Foreign Direct Investment: Evidence from Panel Data Analysis," Bulletin of Energy Economics (BEE), The Economics and Social Development Organization (TESDO), vol. 2(2), pages 14-27, June.
    11. Balsalobre-Lorente, Daniel & Shahbaz, Muhammad & Roubaud, David & Farhani, Sahbi, 2018. "How economic growth, renewable electricity and natural resources contribute to CO2 emissions?," Energy Policy, Elsevier, vol. 113(C), pages 356-367.
    12. He, Jie & Richard, Patrick, 2010. "Environmental Kuznets curve for CO2 in Canada," Ecological Economics, Elsevier, vol. 69(5), pages 1083-1093, March.
    13. repec:ipg:wpaper:2014-542 is not listed on IDEAS
    14. Donghui Lv & Ruru Wang & Yu Zhang, 2021. "Sustainability Assessment Based on Integrating EKC with Decoupling: Empirical Evidence from China," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    15. Jeong Hwan Bae & Dmitriy D. Li & Meenakshi Rishi, 2017. "Determinants of CO emission for post-Soviet Union independent countries," Climate Policy, Taylor & Francis Journals, vol. 17(5), pages 591-615, July.
    16. Sapkota, Pratikshya & Bastola, Umesh, 2017. "Foreign direct investment, income, and environmental pollution in developing countries: Panel data analysis of Latin America," Energy Economics, Elsevier, vol. 64(C), pages 206-212.
    17. Tang, Chor Foon & Abosedra, Salah & Naghavi, Navaz, 2021. "Does the quality of institutions and education strengthen the quality of the environment? Evidence from a global perspective," Energy, Elsevier, vol. 218(C).
    18. Maximilian Auffhammer & Weizeng Sun & Jianfeng Wu & Siqi Zheng, 2016. "The Decomposition And Dynamics Of Industrial Carbon Dioxide Emissions For 287 Chinese Cities In 1998–2009," Journal of Economic Surveys, Wiley Blackwell, vol. 30(3), pages 460-481, July.
    19. Omri, Anis & Nguyen, Duc Khuong & Rault, Christophe, 2014. "Causal interactions between CO2 emissions, FDI, and economic growth: Evidence from dynamic simultaneous-equation models," Economic Modelling, Elsevier, vol. 42(C), pages 382-389.
    20. Jianqing Zhang & Haichao Yu & Keke Zhang & Liang Zhao & Fei Fan, 2021. "Can Innovation Agglomeration Reduce Carbon Emissions? Evidence from China," IJERPH, MDPI, vol. 18(2), pages 1-24, January.
    21. Li, Li & Hong, Xuefei & Wang, Jun, 2020. "Evaluating the impact of clean energy consumption and factor allocation on China’s air pollution: A spatial econometric approach," Energy, Elsevier, vol. 195(C).

    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:jsusta:v:13:y:2021:i:8:p:4194-:d:533004. 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.