IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i18p6725-d414005.html
   My bibliography  Save this article

Spatial-Temporal Analysis and Driving Factors Decomposition of (De)Coupling Condition of SO 2 Emissions in China

Author

Listed:
  • Yue Wang

    (School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China)

  • Lei Shi

    (School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China)

  • Di Chen

    (School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China
    Division of the Social Science, The University of Chicago, Chicago, IL 60615, USA)

  • Xue Tan

    (State Grid Energy Research Institute Co., LTD, Beijing 102209, China)

Abstract

China has a fast-growing economy and is one of the top three sulfur dioxide (SO 2 ) emitters in the world. This paper is committed to finding efficient ways for China to reduce SO 2 emissions with little impact on its socio-economic development. Data of 30 provinces in China from 2000 to 2017 were collected to assess the decoupling relationship between economic growth and SO 2 emissions. The Tapio method was used. Then, the temporal trend of decoupling was analyzed and the Moran Index was introduced to test spatial autocorrelation of the provinces. To concentrate resources and improve the reduction efficiency, a generalized logarithmic mean Divisia index improved by the Cobb–Douglas function was applied to decompose drivers of SO 2 emissions and to identify the main drivers. Results showed that the overall relationship between SO 2 emissions and economic growth had strong decoupling (SD) since 2012; provinces, except for Liaoning and Guizhou, have reached SD since 2015. The decoupling indexes of neighboring provinces had spatial dependence at more than 95% certainty. The main positive driver was the proportion of the secondary sector of the economy and the main negative drivers were related to energy consumption and investment in waste gas treatment. Then, corresponding suggestions for government and enterprises were made.

Suggested Citation

  • Yue Wang & Lei Shi & Di Chen & Xue Tan, 2020. "Spatial-Temporal Analysis and Driving Factors Decomposition of (De)Coupling Condition of SO 2 Emissions in China," IJERPH, MDPI, vol. 17(18), pages 1-18, September.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6725-:d:414005
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/18/6725/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/18/6725/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sipan Li & Qunxi Gong & Shaolei Yang, 2019. "Analysis of the Agricultural Economy and Agricultural Pollution Using the Decoupling Index in Chengdu, China," IJERPH, MDPI, vol. 16(21), pages 1-11, October.
    2. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2019. "A time-space dynamic panel data model with spatial moving average errors," Regional Science and Urban Economics, Elsevier, vol. 76(C), pages 13-31.
    3. Ibeas, Ángel & Cordera, Ruben & dell’Olio, Luigi & Coppola, Pierluigi & Dominguez, Alberto, 2012. "Modelling transport and real-estate values interactions in urban systems," Journal of Transport Geography, Elsevier, vol. 24(C), pages 370-382.
    4. Min Jiang & Euijune Kim & Youngjin Woo, 2020. "The Relationship between Economic Growth and Air Pollution—A Regional Comparison between China and South Korea," IJERPH, MDPI, vol. 17(8), pages 1-20, April.
    5. Feng Han & Xingcheng Lu & Cuicui Xiao & Miao Chang & Ke Huang, 2019. "Estimation of Health Effects and Economic Losses from Ambient Air Pollution in Undeveloped Areas: Evidence from Guangxi, China," IJERPH, MDPI, vol. 16(15), pages 1-16, July.
    6. Li, Kunming & Fang, Liting & He, Lerong, 2019. "How population and energy price affect China's environmental pollution?," Energy Policy, Elsevier, vol. 129(C), pages 386-396.
    7. Wu, Ya & Zhu, Qianwen & Zhu, Bangzhu, 2018. "Comparisons of decoupling trends of global economic growth and energy consumption between developed and developing countries," Energy Policy, Elsevier, vol. 116(C), pages 30-38.
    8. Ang, B.W. & Liu, F.L., 2001. "A new energy decomposition method: perfect in decomposition and consistent in aggregation," Energy, Elsevier, vol. 26(6), pages 537-548.
    9. Qiang Wang & Shasha Wang & Rongrong Li, 2019. "Determinants of Decoupling Economic Output from Carbon Emission in the Transport Sector: A Comparison Study of Four Municipalities in China," IJERPH, MDPI, vol. 16(19), pages 1-21, October.
    10. Zeng, Shihong & Jiang, Xue & Su, Bin & Nan, Xin, 2018. "China's SO2 shadow prices and environmental technical efficiency at the province level," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 86-102.
    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. Hui Guo & Feng Zhou & Yawen Zhang & Zhen’an Yang, 2022. "Quantitative Analysis of Sulfur Dioxide Emissions in the Yangtze River Economic Belt from 1997 to 2017, China," IJERPH, MDPI, vol. 19(17), pages 1-15, 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. Gen Li & Shihong Zeng & Tengfei Li & Qiao Peng & Muhammad Irfan, 2023. "Analysing the Effect of Energy Intensity on Carbon Emission Reduction in Beijing," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    2. Wang, Ke & Yang, Kexin & Wei, Yi-Ming & Zhang, Chi, 2018. "Shadow prices of direct and overall carbon emissions in China’s construction industry: A parametric directional distance function-based sensitive estimation," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 180-193.
    3. Xie, Rui & Wang, Fangfang & Chevallier, Julien & Zhu, Bangzhu & Zhao, Guomei, 2018. "Supply-side structural effects of air pollutant emissions in China: A comparative analysis," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 89-95.
    4. Mulder, Peter & de Groot, Henri L.F. & Pfeiffer, Birte, 2014. "Dynamics and determinants of energy intensity in the service sector: A cross-country analysis, 1980–2005," Ecological Economics, Elsevier, vol. 100(C), pages 1-15.
    5. Fei Li & Christopher Kajetan Wyczalkowski, 2023. "How buses alleviate unemployment and poverty: Lessons from a natural experiment in Clayton County, GA," Urban Studies, Urban Studies Journal Limited, vol. 60(13), pages 2632-2650, October.
    6. Lu, I.J. & Lin, Sue J. & Lewis, Charles, 2007. "Decomposition and decoupling effects of carbon dioxide emission from highway transportation in Taiwan, Germany, Japan and South Korea," Energy Policy, Elsevier, vol. 35(6), pages 3226-3235, June.
    7. Xu, Bin & Lin, Boqiang, 2018. "Do we really understand the development of China's new energy industry?," Energy Economics, Elsevier, vol. 74(C), pages 733-745.
    8. Cartenì, Armando & Pariota, Luigi & Henke, Ilaria, 2017. "Hedonic value of high-speed rail services: Quantitative analysis of the students’ domestic tourist attractiveness of the main Italian cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 348-365.
    9. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Decomposition of CO2 emissions change from energy consumption in Brazil: Challenges and policy implications," Energy Policy, Elsevier, vol. 39(3), pages 1495-1504, March.
    10. Wang, Miao & Feng, Chao, 2017. "Analysis of energy-related CO2 emissions in China’s mining industry: Evidence and policy implications," Resources Policy, Elsevier, vol. 53(C), pages 77-87.
    11. Román-Collado, Rocío & Colinet, María José, 2018. "Are labour productivity and residential living standards drivers of the energy consumption changes?," Energy Economics, Elsevier, vol. 74(C), pages 746-756.
    12. Marcel Kohler, 2008. "The impact of international trade on changing patterns of energy use in South African industry," Working Papers 088, Economic Research Southern Africa.
    13. Daniel Croner & Ivan Frankovic, 2018. "A Structural Decomposition Analysis of Global and NationalEnergy Intensity Trends," The Energy Journal, , vol. 39(2), pages 103-122, March.
    14. Wang, Zhibao & Zhao, Nana & Wei, Wendong & Zhang, Qianwen, 2021. "A differentiated energy Kuznets curve: Evidence from mainland China," Energy, Elsevier, vol. 214(C).
    15. Zheng, Jiali & Mi, Zhifu & Coffman, D'Maris & Milcheva, Stanimira & Shan, Yuli & Guan, Dabo & Wang, Shouyang, 2019. "Regional development and carbon emissions in China," Energy Economics, Elsevier, vol. 81(C), pages 25-36.
    16. Liu, Jingming & Hou, Xianhui & Wang, Zhanqi & Shen, Yue, 2021. "Study the effect of industrial structure optimization on urban land-use efficiency in China," Land Use Policy, Elsevier, vol. 105(C).
    17. Xuankai Deng & Yanhua Yu & Yanfang Liu, 2015. "Effect of Construction Land Expansion on Energy-Related Carbon Emissions: Empirical Analysis of China and Its Provinces from 2001 to 2011," Energies, MDPI, vol. 8(6), pages 1-22, June.
    18. Mukherjee, Kankana, 2008. "Energy use efficiency in U.S. manufacturing: A nonparametric analysis," Energy Economics, Elsevier, vol. 30(1), pages 76-96, January.
    19. Ma, Chunbo, 2014. "A multi-fuel, multi-sector and multi-region approach to index decomposition: An application to China's energy consumption 1995–2010," Energy Economics, Elsevier, vol. 42(C), pages 9-16.
    20. Kaltenegger, Oliver & Löschel, Andreas & Pothen, Frank, 2017. "The effect of globalisation on energy footprints: Disentangling the links of global value chains," Energy Economics, Elsevier, vol. 68(S1), pages 148-168.

    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:17:y:2020:i:18:p:6725-:d:414005. 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.