IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i6p1742-d216292.html
   My bibliography  Save this article

Spatial Correlation, Influencing Factors and Environmental Supervision on Mechanism Construction of Atmospheric Pollution: An Empirical Study on SO 2 Emissions in China

Author

Listed:
  • Ruoyu Yang

    (College of Management and Economics, Tianjin University, Tianjin300072, China)

  • Weidong Chen

    (College of Management and Economics, Tianjin University, Tianjin300072, China)

Abstract

In order to study the present situation regarding SO 2 emissions in China, problems are identified and countermeasures and suggestions are put forward. This paper analyzes spatial correlation, influencing factors and regulatory tools of air pollution in 30 provinces on the Chinese mainland from 2006–2015. The results of exploratory spatial data analysis (ESDA) show that SO 2 emissions have obvious positive spatial correlations, and atmospheric pollution in China shows obvious spatial overflow effects and spatial agglomeration characteristics. On this basis, the present study analyzes the impact of seven socioeconomical (SE) factors and seven policy tools on air pollution by constructing a STIRPAT model and a spatial econometric model. We found that population pressure, affluence, energy consumption (EC), industrial development level (ID), urbanization level (UL) and the degree of marketization can significantly promote the increase of SO 2 emissions, but technology and governmental supervision of the environment have significant inhibitory effects. The reason why China’s air pollution is curbed at present is because the government has adopted a large number of powerful command-controlled supervision measures, to a large extent. Air pollution treatment is like a government-led “political movement”. The effect of the market is relatively weak and public force has not been effectively exerted. In the future, a comprehensive use of a variety of regulation tools is needed, as well as encouraging the public to participate, strengthening the supervision of third parties and building a diversified and all-encompassing supervision mechanism.

Suggested Citation

  • Ruoyu Yang & Weidong Chen, 2019. "Spatial Correlation, Influencing Factors and Environmental Supervision on Mechanism Construction of Atmospheric Pollution: An Empirical Study on SO 2 Emissions in China," Sustainability, MDPI, vol. 11(6), pages 1-13, March.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:6:p:1742-:d:216292
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/6/1742/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/6/1742/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yang, Xue & Wang, Shaojian & Zhang, Wenzhong & Li, Jiaming & Zou, Yafeng, 2016. "Impacts of energy consumption, energy structure, and treatment technology on SO2 emissions: A multi-scale LMDI decomposition analysis in China," Applied Energy, Elsevier, vol. 184(C), pages 714-726.
    2. Tom Tietenberg, 2003. "The Tradable-Permits Approach to Protecting the Commons: Lessons for Climate Change," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 19(3), pages 400-419.
    3. Weidong Chen & Ruoyu Yang, 2018. "Evolving Temporal–Spatial Trends, Spatial Association, and Influencing Factors of Carbon Emissions in Mainland China: Empirical Analysis Based on Provincial Panel Data from 2006 to 2015," Sustainability, MDPI, vol. 10(8), pages 1-17, August.
    4. Zekai He & Xiuzhen Shi & Xinhao Wang & Yuwei Xu, 2017. "Urbanisation and the geographic concentration of industrial SO2 emissions in China," Urban Studies, Urban Studies Journal Limited, vol. 54(15), pages 3579-3596, November.
    5. Shunsuke Managi & Shinji Kaneko, 2006. "Economic growth and the environment in China: an empirical analysis of productivity," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 6(1), pages 89-133.
    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. Claudia García-García & Catalina B. García-García & Román Salmerón, 2021. "Confronting collinearity in environmental regression models: evidence from world data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(3), pages 895-926, September.
    2. Ye Yang & Haifeng Lan & Jing Li, 2019. "Spatial Econometric Analysis of the Impact of Socioeconomic Factors on PM 2.5 Concentration in China’s Inland Cities: A Case Study from Chengdu Plain Economic Zone," IJERPH, MDPI, vol. 17(1), pages 1-19, December.
    3. Qiurui Liu & Juntian Huang & Ting Ni & Lin Chen, 2022. "Measurement of China’s Building Energy Consumption from the Perspective of a Comprehensive Modified Life Cycle Assessment Statistics Method," Sustainability, MDPI, vol. 14(8), pages 1-19, April.
    4. Siyao Li & Qiaosheng Wu & You Zheng & Qi Sun, 2021. "Study on the Spatial Association and Influencing Factors of Carbon Emissions from the Chinese Construction Industry," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    5. Jinfu Xu & Ruoyu Yang, 2019. "Sports Industry Agglomeration and Green Economic Growth—Empirical Research Based on Panel Data of 30 Provinces and Cities in China," Sustainability, MDPI, vol. 11(19), pages 1-20, September.
    6. Shaoxiong Yang & Jinfu Xu & Ruoyu Yang, 2020. "Research on Coordination and Driving Factors of Sports Industry and Regional Sustainable Development—Empirical Research Based on Panel Data of Provinces and Cities in Eastern China," Sustainability, MDPI, vol. 12(3), pages 1-21, January.
    7. Yihang Zhao & Chen Liang & Xinlong Zhang, 2021. "Positive or negative externalities? Exploring the spatial spillover and industrial agglomeration threshold effects of environmental regulation on haze pollution in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 11335-11356, 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. Qian, Yuan & Scherer, Laura & Tukker, Arnold & Behrens, Paul, 2020. "China's potential SO2 emissions from coal by 2050," Energy Policy, Elsevier, vol. 147(C).
    2. Li, Houjian & Tang, Mengqian & Cao, Andi & Guo, Lili, 2024. "How to reduce firm pollution discharges: Does political leaders' gender matter?," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    3. Dogterom, Nico & Ettema, Dick & Dijst, Martin, 2018. "Behavioural effects of a tradable driving credit scheme: Results of an online stated adaptation experiment in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 52-64.
    4. Jiandong Chen & Ping Wang & Jixian Zhou & Malin Song & Xinyue Zhang, 2022. "Influencing factors and efficiency of funds in humanitarian supply chains: the case of Chinese rural minimum living security funds," Annals of Operations Research, Springer, vol. 319(1), pages 413-438, December.
    5. Dr Barry Naughten, 2013. "Emissions Pricing, 'Complementary Policies' and 'Direct Action' in the Australian Electricity Supply Sector: 'Lock-in' and Investment," CCEP Working Papers 1304, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.
    6. Yu Nie, 2015. "A New Tradable Credit Scheme for the Morning Commute Problem," Networks and Spatial Economics, Springer, vol. 15(3), pages 719-741, September.
    7. John Stranlund & Carlos Chávez, 2013. "Who should bear the administrative costs of an emissions tax?," Journal of Regulatory Economics, Springer, vol. 44(1), pages 53-79, August.
    8. Deng, Yuping & Wu, Yanrui & Xu, Helian, 2019. "Political turnover and firm pollution discharges: An empirical study," China Economic Review, Elsevier, vol. 58(C).
    9. Yang, Xue & Su, Bin, 2019. "Impacts of international export on global and regional carbon intensity," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    10. Eduardo Polloni-Silva & Diogo Ferraz & Flávia de Castro Camioto & Daisy Aparecida do Nascimento Rebelatto & Herick Fernando Moralles, 2021. "Environmental Kuznets Curve and the Pollution-Halo/Haven Hypotheses: An Investigation in Brazilian Municipalities," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    11. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Xue, Jin-Jun, 2019. "Changes in carbon intensity globally and in countries: Attribution and decomposition analysis," Applied Energy, Elsevier, vol. 235(C), pages 1492-1504.
    12. Luqing Rong & Maozeng Xu, 2022. "Impact of Altruistic Preference and Government Subsidy on the Multinational Green Supply Chain under Dynamic Tariff," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1928-1958, February.
    13. John Stranlund & Wei Zhang, 2008. "Bankruptcy risk and the performance of tradable permit markets," Economics Bulletin, AccessEcon, vol. 17(9), pages 1-9.
    14. Alajmi, Reema Gh, 2021. "Factors that impact greenhouse gas emissions in Saudi Arabia: Decomposition analysis using LMDI," Energy Policy, Elsevier, vol. 156(C).
    15. Jayanthakumaran, Kankesu & Liu, Ying, 2012. "Openness and the Environmental Kuznets Curve: Evidence from China," Economic Modelling, Elsevier, vol. 29(3), pages 566-576.
    16. Meicun Li & Chunmei Mao, 2020. "Spatial Effect of Industrial Energy Consumption Structure and Transportation on Haze Pollution in Beijing-Tianjin-Hebei Region," IJERPH, MDPI, vol. 17(15), pages 1-12, August.
    17. Barbara Buchner & Carlo Carraro & A. Denny Ellerman, 2006. "The Allocation of European Union Allowances: Lessons, Unifying Themes and General Principles," Working Papers 0615, Massachusetts Institute of Technology, Center for Energy and Environmental Policy Research.
    18. Weidong Sun & Zhigang Chen & Danyang Wang, 2019. "Can Land Marketization Help Reduce Industrial Pollution?," IJERPH, MDPI, vol. 16(12), pages 1-16, June.
    19. Asproudis, Elias & Weyman-Jones, Tom, 2011. "Third parties �participation in tradable permits market. Do we need them?," MPRA Paper 28766, University Library of Munich, Germany.
    20. Yuanqiao Chen & Zhisong Chen & Jianhui Peng, 2021. "How does emission right-based lending contribute to sustainable production and green financing? A modelling study," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13945-13972, September.

    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:11:y:2019:i:6:p:1742-:d:216292. 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.