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The Early Effect of Black Land Protection Plan in Northeast China on Industrial Pollution Using Synthetic Control Method

Author

Listed:
  • Zhipeng Tang

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Wenming Song

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    School of Geographic Sciences, East China Normal University, Shanghai 200241, China)

  • Jialing Zou

    (Guangdong Institute for International Strategies, Guangdong University of Foreign Studies, Guangzhou 510420, China)

Abstract

This study used relevant industrial pollution emission data collected between 2004 and 2020 in northeastern China. It utilized the synthetic control method (SCM) and used entire county-level areas within the scope of the typical black land protection as the experimental group. Thirty regions in China (excluding Tibet, Hong Kong, Macao, and Taiwan), including the three non-black land areas of Liaoning, Jilin, Heilongjiang, and Inner Mongolia, and the other 26 entire provinces were taken as the control group. We studied whether the Outline of Black Land Protection Plan in Northeast China (2017–2030) (BLPP) has reduced local industrial pollution emissions since it was issued in 2017. The study found that implementation of the BLPP reduced industrial wastewater and sulfur dioxide emissions in black land areas significantly. Between 2017 and 2020, local industrial wastewater production decreased by 29.3% compared to the period without implementation of the outline, while industrial sulfur dioxide decreased by 12%. These results remained robust under the placebo and difference-in-difference (DID) tests. This once again showed that implementation of the outline had a significant effect on reducing industrial pollutant emissions in the black land area of northeastern China.

Suggested Citation

  • Zhipeng Tang & Wenming Song & Jialing Zou, 2022. "The Early Effect of Black Land Protection Plan in Northeast China on Industrial Pollution Using Synthetic Control Method," Land, MDPI, vol. 11(4), pages 1-15, April.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:4:p:585-:d:795483
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    References listed on IDEAS

    as
    1. He, Qichun, 2015. "Fiscal decentralization and environmental pollution: Evidence from Chinese panel data," China Economic Review, Elsevier, vol. 36(C), pages 86-100.
    2. Zhang, Qi & Yu, Zhi & Kong, Dongmin, 2019. "The real effect of legal institutions: Environmental courts and firm environmental protection expenditure," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    3. Gamper-Rabindran, Shanti, 2006. "Did the EPA's voluntary industrial toxics program reduce emissions? A GIS analysis of distributional impacts and by-media analysis of substitution," Journal of Environmental Economics and Management, Elsevier, vol. 52(1), pages 391-410, July.
    4. Xie, Hualin & Wang, Wei & Zhang, Xinmin, 2018. "Evolutionary game and simulation of management strategies of fallow cultivated land: A case study in Hunan province, China," Land Use Policy, Elsevier, vol. 71(C), pages 86-97.
    5. Alberto Abadie & Alexis Diamond & Jens Hainmueller, 2015. "Comparative Politics and the Synthetic Control Method," American Journal of Political Science, John Wiley & Sons, vol. 59(2), pages 495-510, February.
    6. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    7. Alberto Abadie, 2021. "Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects," Journal of Economic Literature, American Economic Association, vol. 59(2), pages 391-425, June.
    8. Lin, Boqiang & Chen, Xing, 2018. "Is the implementation of the Increasing Block Electricity Prices policy really effective?--- Evidence based on the analysis of synthetic control method," Energy, Elsevier, vol. 163(C), pages 734-750.
    9. Brian Chi-ang Lin & Siqi Zheng & Brian Chi-ang Lin & Siqi Zheng, 2016. "A New Direction In Environmental Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 30(3), pages 397-402, July.
    10. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    11. Lin, Liguo, 2013. "Enforcement of pollution levies in China," Journal of Public Economics, Elsevier, vol. 98(C), pages 32-43.
    12. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    13. Daniel Albalate & Germà Bel & Ferran A. Mazaira-Font, 2021. "Decoupling synthetic control methods to ensure stability, accuracy and meaningfulness," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(4), pages 549-584, December.
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