IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v104y2021ics0140988321004965.html
   My bibliography  Save this article

Industrial activity, energy structure, and environmental pollution in China

Author

Listed:
  • Chen, Lei
  • Li, Ke
  • Chen, Shuying
  • Wang, Xiaofei
  • Tang, Liwei

Abstract

This study investigated the impact of industrial activity and energy structure on environmental pollution from the demand and supply side with the panel data source from 2000 to 2016 of 30 provinces in China. Empirical results show that, in the long-term, increasing R&D investment, improving industrial energy efficiency, and adjusting the coal consumption structure can reduce the pollution emissions significantly. However, the environmental pollution treatment investments and the capital-embodied technological progress have different impacts on various emissions. Specifically, the former reduces the total emissions but does not impact the emissions intensity; the latter, namely, capital-embodied technological progress, can reduce wastewater emissions because of the possible performance of capital quality upgrading. In the short-term, only coal consumption structure and capital-embodied technological progress have similar effects on the pollution emissions as they are in the long term, reflecting that the policymaking is different in the short-term and long-term. Furthermore, this study confirms that environmental regulations affect industrial pollution through energy efficiency and energy structure changes. The findings show that adjusting the energy structure is the primary channel to emissions reduction.

Suggested Citation

  • Chen, Lei & Li, Ke & Chen, Shuying & Wang, Xiaofei & Tang, Liwei, 2021. "Industrial activity, energy structure, and environmental pollution in China," Energy Economics, Elsevier, vol. 104(C).
  • Handle: RePEc:eee:eneeco:v:104:y:2021:i:c:s0140988321004965
    DOI: 10.1016/j.eneco.2021.105633
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988321004965
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2021.105633?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    2. Liu, Mengdi & Tan, Ruipeng & Zhang, Bing, 2021. "The costs of “blue sky”: Environmental regulation, technology upgrading, and labor demand in China," Journal of Development Economics, Elsevier, vol. 150(C).
    3. Michael Greenstone & Rema Hanna, 2014. "Environmental Regulations, Air and Water Pollution, and Infant Mortality in India," American Economic Review, American Economic Association, vol. 104(10), pages 3038-3072, October.
    4. Brock, William A. & Taylor, M. Scott, 2005. "Economic Growth and the Environment: A Review of Theory and Empirics," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 28, pages 1749-1821, Elsevier.
    5. Wang, Zhenguo & Su, Bin & Xie, Rui & Long, Haiyu, 2020. "China’s aggregate embodied CO2 emission intensity from 2007 to 2012: A multi-region multiplicative structural decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    6. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 99-125.
    7. Hirschey, Mark & Skiba, Hilla & Wintoki, M. Babajide, 2012. "The size, concentration and evolution of corporate R&D spending in U.S. firms from 1976 to 2010: Evidence and implications," Journal of Corporate Finance, Elsevier, vol. 18(3), pages 496-518.
    8. Eric W. Welch & Yasuhumi Mori & Midori Aoyagi‐Usui, 2002. "Voluntary adoption of ISO 14001 in Japan: mechanisms, stages and effects," Business Strategy and the Environment, Wiley Blackwell, vol. 11(1), pages 43-62, January.
    9. Li, Ke & Lin, Boqiang, 2016. "Impact of energy technology patents in China: Evidence from a panel cointegration and error correction model," Energy Policy, Elsevier, vol. 89(C), pages 214-223.
    10. Cole, Matthew A. & Elliott, Robert J.R. & Okubo, Toshihiro & Zhou, Ying, 2013. "The carbon dioxide emissions of firms: A spatial analysis," Journal of Environmental Economics and Management, Elsevier, vol. 65(2), pages 290-309.
    11. Hall, Bronwyn H. & Mairesse, Jacques & Mohnen, Pierre, 2010. "Measuring the Returns to R&D," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1033-1082, Elsevier.
    12. Marios Zachariadis, 2003. "R&D, innovation, and technological progress: a test of the Schumpeterian framework without scale effects," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 36(3), pages 566-586, August.
    13. William Brock & M. Taylor, 2010. "The Green Solow model," Journal of Economic Growth, Springer, vol. 15(2), pages 127-153, June.
    14. Joseph S. Shapiro & Reed Walker, 2018. "Why Is Pollution from US Manufacturing Declining? The Roles of Environmental Regulation, Productivity, and Trade," American Economic Review, American Economic Association, vol. 108(12), pages 3814-3854, December.
    15. Laura Barbieri & Mariacristina Piva & Marco Vivarelli, 2019. "R&D, embodied technological change, and employment: evidence from Italian microdata," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(1), pages 203-218.
    16. Phillips, P.C.B., 1986. "Understanding spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 33(3), pages 311-340, December.
    17. Michael Greenstone & Guojun He & Shanjun Li & Eric Zou, 2021. "China’s War on Pollution: Evidence from the First Five Years," NBER Working Papers 28467, National Bureau of Economic Research, Inc.
    18. Bronwyn H. Hall & Nathan Rosenberg (ed.), 2010. "Handbook of the Economics of Innovation," Handbook of the Economics of Innovation, Elsevier, edition 1, volume 1, number 1.
    19. Mathias Reynaert, 2021. "Abatement Strategies and the Cost of Environmental Regulation: Emission Standards on the European Car Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(1), pages 454-488.
    20. Guojun He & Shaoda Wang & Bing Zhang, 2020. "Watering Down Environmental Regulation in China," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 2135-2185.
    21. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    22. Jan Lepoutre & Aimé Heene, 2006. "Investigating the Impact of Firm Size on Small Business Social Responsibility: A Critical Review," Journal of Business Ethics, Springer, vol. 67(3), pages 257-273, September.
    23. Shao, Shuai & Guo, Longfei & Yu, Mingliang & Yang, Lili & Guan, Dabo, 2019. "Does the rebound effect matter in energy import-dependent mega-cities? Evidence from Shanghai (China)," Applied Energy, Elsevier, vol. 241(C), pages 212-228.
    24. Wang, Ailun & Hu, Shuo & Lin, Boqiang, 2021. "Can environmental regulation solve pollution problems? Theoretical model and empirical research based on the skill premium," Energy Economics, Elsevier, vol. 94(C).
    25. Suzanne McCoskey & Chihwa Kao, 1998. "A residual-based test of the null of cointegration in panel data," Econometric Reviews, Taylor & Francis Journals, vol. 17(1), pages 57-84.
    26. Peter C. B. Phillips & Hyungsik R. Moon, 1999. "Linear Regression Limit Theory for Nonstationary Panel Data," Econometrica, Econometric Society, vol. 67(5), pages 1057-1112, September.
    27. Werner Antweiler & Brian R. Copeland & M. Scott Taylor, 2001. "Is Free Trade Good for the Environment?," American Economic Review, American Economic Association, vol. 91(4), pages 877-908, September.
    28. Su, Bin & Ang, B.W., 2017. "Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 65(C), pages 137-147.
    29. Pargal, Sheoli & Wheeler, David, 1996. "Informal Regulation of Industrial Pollution in Developing Countries: Evidence from Indonesia," Journal of Political Economy, University of Chicago Press, vol. 104(6), pages 1314-1327, December.
    30. Liwei Tang & Ke Li & Pinrong Jia, 2020. "Impact of Environmental Regulations on Environmental Quality and Public Health in China: Empirical Analysis with Panel Data Approach," Sustainability, MDPI, vol. 12(2), pages 1-15, January.
    31. Laforet, Sylvie, 2013. "Organizational innovation outcomes in SMEs: Effects of age, size, and sector," Journal of World Business, Elsevier, vol. 48(4), pages 490-502.
    32. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    33. Tian, Kailan & Dietzenbacher, Erik & Yan, Bingqian & Duan, Yuwan, 2020. "Upgrading or downgrading: China's regional carbon emission intensity evolution and its determinants," Energy Economics, Elsevier, vol. 91(C).
    34. Xu, Bin & Lin, Boqiang, 2020. "Investigating drivers of CO2 emission in China’s heavy industry: A quantile regression analysis," Energy, Elsevier, vol. 206(C).
    35. Zhu, Bangzhu & Su, Bin & Li, Yingzhu, 2018. "Input-output and structural decomposition analysis of India’s carbon emissions and intensity, 2007/08 – 2013/14," Applied Energy, Elsevier, vol. 230(C), pages 1545-1556.
    36. Yi, Ming & Wang, Yiqian & Sheng, Mingyue & Sharp, Basil & Zhang, Yao, 2020. "Effects of heterogeneous technological progress on haze pollution: Evidence from China," Ecological Economics, Elsevier, vol. 169(C).
    37. Tang, Liwei & He, Gang, 2021. "How to improve total factor energy efficiency? An empirical analysis of the Yangtze River economic belt of China," Energy, Elsevier, vol. 235(C).
    38. Duan, Yuwan & Yan, Bingqian, 2021. "Has processing trade made China's exports cleaner? A regional level analysis," Energy Economics, Elsevier, vol. 96(C).
    39. 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.
    40. Fan, Jing-Li & Da, Ya-Bin & Wan, Si-Lai & Zhang, Mian & Cao, Zhe & Wang, Yu & Zhang, Xian, 2019. "Determinants of carbon emissions in ‘Belt and Road initiative’ countries: A production technology perspective," Applied Energy, Elsevier, vol. 239(C), pages 268-279.
    41. Li, Ke & Lin, Boqiang, 2014. "The nonlinear impacts of industrial structure on China's energy intensity," Energy, Elsevier, vol. 69(C), pages 258-265.
    42. Song, Malin & Wang, Shuhong & Sun, Jing, 2018. "Environmental regulations, staff quality, green technology, R&D efficiency, and profit in manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 133(C), pages 1-14.
    43. Duan, Yuwan & Jiang, Xuemei, 2021. "Pollution haven or pollution halo? A Re-evaluation on the role of multinational enterprises in global CO2 emissions," Energy Economics, Elsevier, vol. 97(C).
    44. Cole, Matthew A. & Elliott, Robert J.R. & Wu, Shanshan, 2008. "Industrial activity and the environment in China: An industry-level analysis," China Economic Review, Elsevier, vol. 19(3), pages 393-408, September.
    45. Du, Kerui & Li, Pengzhen & Yan, Zheming, 2019. "Do green technology innovations contribute to carbon dioxide emission reduction? Empirical evidence from patent data," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 297-303.
    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. Wang, Enci & Su, Bin & Zhong, Sheng & Guo, Qinxin, 2022. "China's Embodied SO2 Emissions and Aggregate Embodied SO2 Intensities in Interprovincial and International Trade," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    2. Sun, Xiaohua & Dong, Yan & Wang, Yun & Ren, Junlin, 2022. "Sources of greenhouse gas emission reductions in OECD countries: Composition or technique effects," Ecological Economics, Elsevier, vol. 193(C).
    3. Wagner, Martin, 2008. "The carbon Kuznets curve: A cloudy picture emitted by bad econometrics?," Resource and Energy Economics, Elsevier, vol. 30(3), pages 388-408, August.
    4. Yang, Xue & Su, Bin, 2019. "Impacts of international export on global and regional carbon intensity," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    5. Löschel, Andreas & Pothen, Frank & Schymura, Michael, 2015. "Peeling the onion: Analyzing aggregate, national and sectoral energy intensity in the European Union," Energy Economics, Elsevier, vol. 52(S1), pages 63-75.
    6. Valérie Mignon & Christophe Hurlin, 2007. "Une synthèse des tests de cointégration sur données de panel," Économie et Prévision, Programme National Persée, vol. 180(4), pages 241-265.
    7. Ling Yang & Michael L. Lahr, 2019. "The Drivers of China’s Regional Carbon Emission Change—A Structural Decomposition Analysis from 1997 to 2007," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    8. Tian, Kailan & Dietzenbacher, Erik & Yan, Bingqian & Duan, Yuwan, 2020. "Upgrading or downgrading: China's regional carbon emission intensity evolution and its determinants," Energy Economics, Elsevier, vol. 91(C).
    9. Li, Zhen & Wu, Baijun & Wang, Danyang & Tang, Maogang, 2022. "Government mandatory energy-biased technological progress and enterprises' environmental performance: Evidence from a quasi-natural experiment of cleaner production standards in China," Energy Policy, Elsevier, vol. 162(C).
    10. Duan, Yuwan & Yan, Bingqian, 2019. "Economic gains and environmental losses from international trade: A decomposition of pollution intensity in China's value-added trade," Energy Economics, Elsevier, vol. 83(C), pages 540-554.
    11. Zhang, Wei & Wang, Nan, 2021. "Decomposition of energy intensity in Chinese industries using an extended LMDI method of production element endowment," Energy, Elsevier, vol. 221(C).
    12. Michael Schymura & Andreas Löschel, 2012. "Trade and the Environment: An Application of the WIOD Database," EcoMod2012 3948, EcoMod.
    13. Fan, Maoqing & Zheng, Haitao, 2019. "The impact of factor price changes and technological progress on the energy intensity of China's industries: Kalman filter-based econometric method," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 340-353.
    14. Ang, James B., 2009. "CO2 emissions, research and technology transfer in China," Ecological Economics, Elsevier, vol. 68(10), pages 2658-2665, August.
    15. Joakim Westerlund, 2005. "A Panel CUSUM Test of the Null of Cointegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(2), pages 231-262, April.
    16. Yan, Junna & Su, Bin, 2020. "What drive the changes in China's energy consumption and intensity during 12th Five-Year Plan period?," Energy Policy, Elsevier, vol. 140(C).
    17. Huang, Junbing & Li, Xinghao & Wang, Yajun & Lei, Hongyan, 2021. "The effect of energy patents on China's carbon emissions: Evidence from the STIRPAT model," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    18. Xu, Le & Fan, Meiting & Yang, Lili & Shao, Shuai, 2021. "Heterogeneous green innovations and carbon emission performance: Evidence at China's city level," Energy Economics, Elsevier, vol. 99(C).
    19. Peter Phillips & Hyungsik Moon, 2000. "Nonstationary panel data analysis: an overview of some recent developments," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 263-286.
    20. Li, Ke & Lin, Boqiang, 2016. "Impact of energy technology patents in China: Evidence from a panel cointegration and error correction model," Energy Policy, Elsevier, vol. 89(C), pages 214-223.

    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:eee:eneeco:v:104:y:2021:i:c:s0140988321004965. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    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.