IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i4p585-d795483.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/4/585/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/11/4/585/
    Download Restriction: no
    ---><---

    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.
    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. Chuku Chuku & Mustafa Yasin Yenice, 2021. "Working Paper 356 - Eurobonds, debt sustainability and macroeconomic performance in Africa: Synthetic controlled experiments," Working Paper Series 2482, African Development Bank.
    2. Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2022. "Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data," Papers 2207.14481, arXiv.org, revised Oct 2022.
    3. Pekka Malo & Juha Eskelinen & Xun Zhou & Timo Kuosmanen, 2024. "Computing Synthetic Controls Using Bilevel Optimization," Computational Economics, Springer;Society for Computational Economics, vol. 64(2), pages 1113-1136, August.
    4. Peter Backus & Thien Nguyen, 2021. "The Effect of the Sex Buyer Law on the Market for Sex, Sexual Health and Sexual Violence," Economics Discussion Paper Series 2106, Economics, The University of Manchester.
    5. Avdic, Daniel & von Hinke, Stephanie, 2021. "Extending alcohol retailers’ opening hours: Evidence from Sweden," European Economic Review, Elsevier, vol. 138(C).
    6. David Gilchrist & Thomas Emery & Nuno Garoupa & Rok Spruk, 2023. "Synthetic Control Method: A tool for comparative case studies in economic history," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 409-445, April.
    7. Jeremy Dijk & Nathan Delacrétaz & Bruno Lanz, 2022. "Technology Adoption and Early Network Infrastructure Provision in the Market for Electric Vehicles," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(3), pages 631-679, November.
    8. Rodríguez-Puello, Gabriel, 2024. "Digging for Trouble? Uncovering the Link Between Mining Booms and Crime," OSF Preprints s8ayp, Center for Open Science.
    9. Chiara Natalie Focacci & Mitja Kovac & Rok Spruk, 2022. "The perils of Kremlin's influence: evidence from Ukraine," Papers 2206.04950, arXiv.org.
    10. Joseph Fry, 2023. "A Method of Moments Approach to Asymptotically Unbiased Synthetic Controls," Papers 2312.01209, arXiv.org, revised Mar 2024.
    11. Echevarría, Cruz A. & Hasancebi, Serhat & García-Enríquez, Javier, 2022. "Economic Effects of Macao’s Integration with Mainland China: A Causal Inference Study," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 37(2), pages 179-215.
    12. Nicolaj N. Mühlbach, 2020. "Tree-based Synthetic Control Methods: Consequences of moving the US Embassy," CREATES Research Papers 2020-04, Department of Economics and Business Economics, Aarhus University.
    13. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    14. Manuel Funke & Moritz Schularick & Christoph Trebesch, 2023. "Populist Leaders and the Economy," American Economic Review, American Economic Association, vol. 113(12), pages 3249-3288, December.
    15. Maximiliano Marzetti & Rok Spruk, 2023. "Long-Term Economic Effects of Populist Legal Reforms: Evidence from Argentina," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 65(1), pages 60-95, March.
    16. Bibek Adhikari & Romain Duval & Bingjie Hu & Prakash Loungani, 2018. "Can Reform Waves Turn the Tide? Some Case Studies using the Synthetic Control Method," Open Economies Review, Springer, vol. 29(4), pages 879-910, September.
    17. Sadeghi, Ali & Kibler, Ewald, 2022. "Do bankruptcy laws matter for entrepreneurship? A Synthetic Control Method analysis of a bankruptcy reform in Finland," Journal of Business Venturing Insights, Elsevier, vol. 18(C).
    18. Pavlik, Jamie Bologna & Jahan, Israt & Young, Andrew T., 2023. "Do longer constitutions corrupt?," European Journal of Political Economy, Elsevier, vol. 77(C).
    19. Michael Funke & Kadri Männasoo & Helery Tasane, 2023. "Regional Economic Impacts of the Øresund Cross-Border Fixed Link: Cui Bono?," CESifo Working Paper Series 10557, CESifo.
    20. Robert Kraemer & Jonne Lehtimäki, 2024. "Government debt, European Institutions and fiscal rules: a synthetic control approach," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 31(4), pages 1112-1157, August.

    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:jlands:v:11:y:2022:i:4:p:585-:d:795483. 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.