IDEAS home Printed from https://ideas.repec.org/a/bla/rdevec/v26y2022i1p484-509.html
   My bibliography  Save this article

Effects of pollution abatement activities on environmental efficiency and productivity: Empirical evidence from the Chinese industrial sector

Author

Listed:
  • Masayuki Shimizu

Abstract

Since the 2000s, China has been aggressively involved in controlling industrial pollution, and end‐of‐pipe approaches have certainly reduced pollution emissions. This study aims to measure environmental efficiency and productivity in the Chinese industrial sector and investigate whether pollution abatement activities have a negative impact on environmental efficiency and productivity. Using regional data from 29 provinces from 1997 to 2010, the results show that significant improvements were made in environmental efficiency and productivity in the Eastern region, but not in the Western region. The estimation results after conducting a panel data analysis, however, show that increased pollution abatement activities are associated with a decline in environmental efficiency and productivity. The findings suggest that if China can promote the diffusion of cleaner production technology with the expansion of abatement activities, there is potential for increasing the levels of environmental efficiency and productivity.

Suggested Citation

  • Masayuki Shimizu, 2022. "Effects of pollution abatement activities on environmental efficiency and productivity: Empirical evidence from the Chinese industrial sector," Review of Development Economics, Wiley Blackwell, vol. 26(1), pages 484-509, February.
  • Handle: RePEc:bla:rdevec:v:26:y:2022:i:1:p:484-509
    DOI: 10.1111/rode.12820
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/rode.12820
    Download Restriction: no

    File URL: https://libkey.io/10.1111/rode.12820?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. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    2. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    3. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl, 2016. "Technical change and pollution abatement costs," European Journal of Operational Research, Elsevier, vol. 248(2), pages 715-724.
    4. Rolf Färe & Shawna Grosskopf & Carl A Pasurka, Jr., 2001. "Accounting for Air Pollution Emissions in Measures of State Manufacturing Productivity Growth," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 381-409, August.
    5. Holz, Carsten A., 2006. "New capital estimates for China," China Economic Review, Elsevier, vol. 17(2), pages 142-185.
    6. Fare, Rolf & Grosskopf, Shawna & Tyteca, Daniel, 1996. "An activity analysis model of the environmental performance of firms--application to fossil-fuel-fired electric utilities," Ecological Economics, Elsevier, vol. 18(2), pages 161-175, August.
    7. Hongliang Yang & Michael Pollitt, 2012. "Incorporating undesirable outputs into Malmquist TFP indices with an unbalanced data panel of Chinese power plants," Applied Economics Letters, Taylor & Francis Journals, vol. 19(3), pages 277-283, February.
    8. 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.
    9. Masayuki Shimizu, 2020. "The relationship between pollution abatement costs and environmental regulation: Evidence from the Chinese industrial sector," Review of Development Economics, Wiley Blackwell, vol. 24(2), pages 668-690, May.
    10. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    11. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    12. Salahuddin, Mohammad & Alam, Khorshed & Ozturk, Ilhan, 2016. "The effects of Internet usage and economic growth on CO2 emissions in OECD countries: A panel investigation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1226-1235.
    13. Kumar, Surender & Khanna, Madhu, 2009. "Measurement of environmental efficiency and productivity: a cross-country analysis," Environment and Development Economics, Cambridge University Press, vol. 14(4), pages 473-495, August.
    14. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 1995. "Capital Utilization and Returns to Scale," NBER Chapters, in: NBER Macroeconomics Annual 1995, Volume 10, pages 67-124, National Bureau of Economic Research, Inc.
    15. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    16. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    17. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    18. Wang, Yan & Shen, Neng, 2016. "Environmental regulation and environmental productivity: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 758-766.
    19. Wu, F. & Fan, L.W. & Zhou, P. & Zhou, D.Q., 2012. "Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis," Energy Policy, Elsevier, vol. 49(C), pages 164-172.
    20. Li, Tingting & Wang, Yong & Zhao, Dingtao, 2016. "Environmental Kuznets Curve in China: New evidence from dynamic panel analysis," Energy Policy, Elsevier, vol. 91(C), pages 138-147.
    21. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2014. "Potential gains from trading bad outputs: The case of U.S. electric power plants," Resource and Energy Economics, Elsevier, vol. 36(1), pages 99-112.
    22. Shunsuke Managi & Shinji Kaneko, 2004. "Environmental Productivity in China," Economics Bulletin, AccessEcon, vol. 17(2), pages 1-10.
    23. Zhang, Chunhong & Liu, Haiying & Bressers, Hans Th.A. & Buchanan, Karen S., 2011. "Productivity growth and environmental regulations - accounting for undesirable outputs: Analysis of China's thirty provincial regions using the Malmquist–Luenberger index," Ecological Economics, Elsevier, vol. 70(12), pages 2369-2379.
    24. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2007. "Environmental production functions and environmental directional distance functions," Energy, Elsevier, vol. 32(7), pages 1055-1066.
    25. Managi, Shunsuke & Jena, Pradyot Ranjan, 2008. "Environmental productivity and Kuznets curve in India," Ecological Economics, Elsevier, vol. 65(2), pages 432-440, April.
    26. Masayuki Shimizu, 2017. "Pollution abatement efforts: a regional analysis of the Chinese industrial sector," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 15(2), pages 103-125, April.
    27. Junfeng Zhang & Hong Fang & Bo Peng & Xu Wang & Siran Fang, 2016. "Productivity Growth-Accounting for Undesirable Outputs and Its Influencing Factors: The Case of China," Sustainability, MDPI, vol. 8(11), pages 1-13, November.
    28. repec:ebl:ecbull:v:17:y:2004:i:2:p:1-10 is not listed on IDEAS
    29. Holz, Carsten A., 2006. "Response to Gregory C. Chow's "New Capital Estimates for China: Comments"," China Economic Review, Elsevier, vol. 17(2), pages 193-197.
    30. Fare, Rolf & Grosskopf, Shawna & Pasurka, Carl Jr., 2007. "Pollution abatement activities and traditional productivity," Ecological Economics, Elsevier, vol. 62(3-4), pages 673-682, May.
    31. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    32. Daniel Tyteca, 1997. "Linear Programming Models for the Measurement of Environmental Performance of Firms—Concepts and Empirical Results," Journal of Productivity Analysis, Springer, vol. 8(2), pages 183-197, May.
    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. Hao, Xiaoli & Wen, Shufang & Xue, Yan & Wu, Haitao & Hao, Yu, 2023. "How to improve environment, resources and economic efficiency in the digital era?," Resources Policy, Elsevier, vol. 80(C).

    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. Masayuki Shimizu & Oscar Tiku, 2023. "Evaluation of environmental energy efficiency and its influencing factors: a prefecture-level analysis of Japanese manufacturing industries," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 12(1), pages 1-26, December.
    2. Masayuki Shimizu, 2020. "The relationship between pollution abatement costs and environmental regulation: Evidence from the Chinese industrial sector," Review of Development Economics, Wiley Blackwell, vol. 24(2), pages 668-690, May.
    3. Lena, Daniela & Pasurka, Carl A. & Cucculelli, Marco, 2022. "Environmental regulation and green productivity growth: Evidence from Italian manufacturing industries," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    4. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    5. Chen, Ping-Yu & Chen, Sheng-Tung & Hsu, Chia-Sheng & Chen, Chi-Chung, 2016. "Modeling the global relationships among economic growth, energy consumption and CO2 emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 420-431.
    6. Georgescu, Irina Alexandra & Oprea, Simona-Vasilica & Bâra, Adela, 2024. "Investigating the relationship between macroeconomic indicators, renewables and pollution across diverse regions in the globalization era," Applied Energy, Elsevier, vol. 363(C).
    7. Felipa de Mello-Sampayo & Sofia de Sousa-Vale, 2014. "Financing Health Care Expenditure in the OECD Countries: Evidence from a Heterogeneous, Cross-Sectional Dependent Panel," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(2), pages 207-225, March.
    8. Usman, Muhammad & Makhdum, Muhammad Sohail Amjad, 2021. "What abates ecological footprint in BRICS-T region? Exploring the influence of renewable energy, non-renewable energy, agriculture, forest area and financial development," Renewable Energy, Elsevier, vol. 179(C), pages 12-28.
    9. Hamit-Haggar, Mahamat, 2012. "Greenhouse gas emissions, energy consumption and economic growth: A panel cointegration analysis from Canadian industrial sector perspective," Energy Economics, Elsevier, vol. 34(1), pages 358-364.
    10. Elya Nabila Abdul Bahri & Abu Hassan Shaari Md Nor & Nor Hakimah Haji Mohd Nor, 2018. "The Role of Financial Development on Foreign Direct Investment in ASEAN-5 Countries: Panel Cointegration with Cross-Sectional Dependency Analysis," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 14(1), pages 1-23.
    11. Mikhed, Vyacheslav & Zemcík, Petr, 2009. "Do house prices reflect fundamentals? Aggregate and panel data evidence," Journal of Housing Economics, Elsevier, vol. 18(2), pages 140-149, June.
    12. Liddle, Brantley, 2012. "The importance of energy quality in energy intensive manufacturing: Evidence from panel cointegration and panel FMOLS," Energy Economics, Elsevier, vol. 34(6), pages 1819-1825.
    13. Emrouznejad, Ali & Yang, Guo-liang, 2016. "A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries," Energy, Elsevier, vol. 115(P1), pages 840-856.
    14. Rajesh Sharma & Samaresh Bardhan, 2017. "Finance growth nexus across Indian states: evidences from panel cointegration and causality tests," Economic Change and Restructuring, Springer, vol. 50(1), pages 1-20, February.
    15. Ferreira, Cândida, 2020. "Globalisation and Economic Growth: A Panel Data Approach," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 73(2), pages 187-236.
    16. Olesia Kozlova & Jose Noguera-Santaella, 2019. "Relative efficiency of oil price versus oil output in promoting economic growth: Is OPEC’s strategy right?," Empirical Economics, Springer, vol. 57(6), pages 1997-2012, December.
    17. Kholodilin Konstantin A. & Menz Jan-Oliver & Siliverstovs Boriss, 2010. "What Drives Housing Prices Down? Evidence from an International Panel," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(1), pages 59-76, February.
    18. Li, Ke & Lin, Boqiang, 2015. "Measuring green productivity growth of Chinese industrial sectors during 1998–2011," China Economic Review, Elsevier, vol. 36(C), pages 279-295.
    19. Ibrahim D. Raheem & Aviral K. Tiwari & Daniel Balsalobre-lorente, 2019. "The Role of ICT and Financial Development on CO2 Emissions and Economic Growth," Working Papers of the African Governance and Development Institute. 19/058, African Governance and Development Institute..
    20. Acikgoz, Senay & Ben Ali, Mohamed Sami, 2019. "Where does economic growth in the Middle Eastern and North African countries come from?," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 172-183.

    More about this item

    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:bla:rdevec:v:26:y:2022:i:1:p:484-509. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1363-6669 .

    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.