IDEAS home Printed from https://ideas.repec.org/a/sae/engenv/v36y2025i3p1321-1340.html

Collaborative governance on SO2 pollution from thermal power energy consumption: Evidence from Yangtze River Delta urban agglomeration in China

Author

Listed:
  • Qiang Feng
  • Tao Sun
  • Xiaorui Liu

Abstract

In order to explore an effective method for the effect of collaborative governance on SO 2 pollution from thermal power energy consumption in the Yangtze River Delta (YRD) urban agglomeration, the spatiotemporal evolution of SO 2 pollution from thermal power energy consumption was empirically studied by Moran's I first; then the revised Difference-in-Difference-in-Differences model was constructed to examine the effect of collaborative governance on SO 2 emission intensity from thermal power energy consumption, and the time effect of collaborative governance was also examined; finally, the Grey System Prediction Model was used to forecast the SO 2 emission intensity from thermal power energy consumption in YRD urban agglomeration from 2021 to 2025. The results show that SO 2 emissions from thermal power energy consumption in YRD urban agglomeration have positive spatial autocorrelations, and high-high spatial clusters have the tendency of moving to inland cities from coastal cities. Moreover, SO 2 pollution from thermal power energy consumption in YRD urban agglomeration has improved year-by-year after the implementation of collaborative governance and the predicted SO 2 emission intensity from thermal power energy consumption in YRD urban agglomeration generally shows a downward trend.

Suggested Citation

  • Qiang Feng & Tao Sun & Xiaorui Liu, 2025. "Collaborative governance on SO2 pollution from thermal power energy consumption: Evidence from Yangtze River Delta urban agglomeration in China," Energy & Environment, , vol. 36(3), pages 1321-1340, May.
    • Handle: RePEc:sae:engenv:v:36:y:2025:i:3:p:1321-1340
    DOI: 10.1177/0958305X231192351
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0958305X231192351
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0958305X231192351?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Long, Xingle & Wu, Chao & Zhang, Jijian & Zhang, Jing, 2018. "Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: A metafrontier directional slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3962-3971.
    2. Jebli, Imane & Belouadha, Fatima-Zahra & Kabbaj, Mohammed Issam & Tilioua, Amine, 2021. "Prediction of solar energy guided by pearson correlation using machine learning," Energy, Elsevier, vol. 224(C).
    3. Ashenfelter, Orley & Card, David, 1985. "Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 648-660, November.
    4. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    Full references (including those not matched with items on IDEAS)

    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. Angrisani, Marco & Atella, Vincenzo & Brunetti, Marianna, 2018. "Public health insurance and household portfolio Choices: Unravelling financial “Side Effects” of Medicare," Journal of Banking & Finance, Elsevier, vol. 93(C), pages 198-212.
    2. Beestermöller, Matthias, 2017. "Striking Evidence? Demand Persistence for Inter-City Buses from German Railway Strikes," Discussion Papers in Economics 31768, University of Munich, Department of Economics.
    3. David Card, 2022. "Design-Based Research in Empirical Microeconomics," American Economic Review, American Economic Association, vol. 112(6), pages 1773-1781, June.
    4. James J. Heckman, 1991. "Randomization and Social Policy Evaluation Revisited," NBER Technical Working Papers 0107, National Bureau of Economic Research, Inc.
    5. Chen, Zhenling & Zhang, Xiaoling & Ni, Guohua, 2020. "Decomposing capacity utilization under carbon dioxide emissions reduction constraints in data envelopment analysis: An application to Chinese regions," Energy Policy, Elsevier, vol. 139(C).
    6. Lina Schollin Ask & Can Liu & Karl Gauffin & Anders Hjern, 2019. "The Effect of Rotavirus Vaccine on Socioeconomic Differentials of Paediatric Care Due to Gastroenteritis in Swedish Infants," IJERPH, MDPI, vol. 16(7), pages 1-10, March.
    7. Irma Perez-Johnson & Jacqueline Kauff & Alan Hershey, "undated". "Giving Noncustodial Parents Options: Employment and Child Support Outcomes of the SHARE Program," Mathematica Policy Research Reports aed55698cd8f49879a98f881c, Mathematica Policy Research.
    8. Carman, Hoy F. & Li, Lan & Sexton, Richard J., 2006. "A New Framework for Evaluating Commodity Promotion Programs: What Can We Learn from Disaggregate Data?," 2006 Annual meeting, July 23-26, Long Beach, CA 21229, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Haoying Wang & Guohui Wu, 2022. "Modeling discrete choices with large fine-scale spatial data: opportunities and challenges," Journal of Geographical Systems, Springer, vol. 24(3), pages 325-351, July.
    10. Stergiou, Eirini, 2022. "Environmental Efficiency of European Industries across Sectors and Countries," MPRA Paper 114635, University Library of Munich, Germany.
    11. Andrews, Martyn & Bradley, Steve & Upward, Richard, 1999. "Estimating Youth Training Wage Differentials during and after Training," Oxford Economic Papers, Oxford University Press, vol. 51(3), pages 517-544, July.
    12. Liv Osland & Inge Thorsen, 2013. "Spatial Impacts, Local Labour Market Characteristics and Housing Prices," Urban Studies, Urban Studies Journal Limited, vol. 50(10), pages 2063-2083, August.
    13. Marini, Marco A. & Nocito, Samuel, 2025. "Climate activism favors pro-environmental consumption," European Journal of Political Economy, Elsevier, vol. 86(C).
    14. Breisinger, Clemens & Ecker, Olivier & Funes, José & Yu, Bingxin, 2010. "Food as the basis for development and security: A strategy for Yemen," IFPRI discussion papers 1036, International Food Policy Research Institute (IFPRI).
    15. Christos Genakos & Mario Pagliero, 2022. "Competition and Pass-Through: Evidence from Isolated Markets," American Economic Journal: Applied Economics, American Economic Association, vol. 14(4), pages 35-57, October.
    16. repec:rri:wpaper:200711 is not listed on IDEAS
    17. Harsha Thirumurthy & Joshua Graff Zivin & Markus Goldstein, 2008. "The Economic Impact of AIDS Treatment: Labor Supply in Western Kenya," Journal of Human Resources, University of Wisconsin Press, vol. 43(3), pages 511-552.
    18. Chabé-Ferret, Sylvain, 2017. "Should We Combine Difference In Differences with Conditioning on Pre-Treatment Outcomes?," TSE Working Papers 17-824, Toulouse School of Economics (TSE), revised 10 Jun 2026.
    19. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
    20. Albanese, Andrea & Picchio, Matteo & Ghirelli, Corinna, 2020. "Timed to Say Goodbye: Does Unemployment Benefit Eligibility Affect Worker Layoffs?," Labour Economics, Elsevier, vol. 65(C).
    21. Eliason, Marcus, 2011. "Assistant and auxiliary nurses in crisis times: earnings and employment following public sector job loss in the 1990s," Working Paper Series 2011:1, IFAU - Institute for Evaluation of Labour Market and Education Policy.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    Statistics

    Access and download statistics

    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:sae:engenv:v:36:y:2025:i:3:p:1321-1340. 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: SAGE Publications (email available below). General contact details of provider: .

    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.