IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i18p13440-d1235314.html
   My bibliography  Save this article

Impact of Energy Productivity and Industrial Structural Change on Energy Intensity in China: Analysis Based on Provincial Panel Data

Author

Listed:
  • Chenyu Dai

    (School of Economics, Renmin University of China, 59 Zhongguancun Street, Haidian District, Beijing 100872, China)

  • Fengliang Liu

    (School of Economics, Renmin University of China, 59 Zhongguancun Street, Haidian District, Beijing 100872, China)

Abstract

Since 2000, China’s energy intensity has shown a fluctuating downward trend. Most existing studies have attributed the decline to technological progress, and only a few studies have recognized the role of industrial structure change. In this paper, a multi-region and multi-sector CGE (computable general equilibrium) model and a numerical simulation method are used to study how technological progress and structural transformation affected the energy intensity of 30 provincial-level regions in China from 2000 to 2019. The results show the following points. (1) The contribution of technological progress to the decline in energy intensity was the highest in the central region, followed by the western region, and was the lowest in the eastern region. (2) The progress of energy technology in the agriculture and industry sectors promoted the transition of energy consumption to the service sector, thereby reducing the overall energy intensity. This effect was the strongest in the eastern region, followed by the central region, and was the weakest in the western region. (3) The progress of energy technology in the service industry promoted the transition of energy consumption to industry and agriculture, thereby enhancing the energy intensity, and this effect was the strongest in the eastern region, followed by the western region, and the weakest in the central region. The conclusion of this paper provides a theoretical basis for realizing regional carbon peaking in sequence in China.

Suggested Citation

  • Chenyu Dai & Fengliang Liu, 2023. "Impact of Energy Productivity and Industrial Structural Change on Energy Intensity in China: Analysis Based on Provincial Panel Data," Sustainability, MDPI, vol. 15(18), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13440-:d:1235314
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/18/13440/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/18/13440/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. L. Rachel Ngai & Christopher A. Pissarides, 2007. "Structural Change in a Multisector Model of Growth," American Economic Review, American Economic Association, vol. 97(1), pages 429-443, March.
    2. Piyabha Kongsamut & Sergio Rebelo & Danyang Xie, 2001. "Beyond Balanced Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(4), pages 869-882.
    3. Diego Comin & Danial Lashkari & Martí Mestieri, 2021. "Structural Change With Long‐Run Income and Price Effects," Econometrica, Econometric Society, vol. 89(1), pages 311-374, January.
    4. Daron Acemoglu & Veronica Guerrieri, 2008. "Capital Deepening and Nonbalanced Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 116(3), pages 467-498, June.
    5. Kiminori Matsuyama, 2009. "Structural Change in an Interdependent World: A Global View of Manufacturing Decline," Journal of the European Economic Association, MIT Press, vol. 7(2-3), pages 478-486, 04-05.
    6. Timo Boppart, 2014. "Structural Change and the Kaldor Facts in a Growth Model With Relative Price Effects and Non‐Gorman Preferences," Econometrica, Econometric Society, vol. 82, pages 2167-2196, November.
    7. Sposi, Michael, 2019. "Evolving comparative advantage, sectoral linkages, and structural change," Journal of Monetary Economics, Elsevier, vol. 103(C), pages 75-87.
    8. Piyabha Kongsamut & Sergio Rebelo & Danyang Xie, 2001. "Beyond Balanced Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(4), pages 869-882.
    9. Tan, Ruipeng & Lin, Boqiang, 2018. "What factors lead to the decline of energy intensity in China's energy intensive industries?," Energy Economics, Elsevier, vol. 71(C), pages 213-221.
    10. Sinton, Jonathan E. & Levine, Mark D., 1994. "Changing energy intensity in Chinese industry : The relatively importance of structural shift and intensity change," Energy Policy, Elsevier, vol. 22(3), pages 239-255, March.
    11. Mr. Sergio Rebelo & Ms. Piyabha Kongsamut & Danyang Xie, 2001. "Beyond Balanced Growth," IMF Working Papers 2001/085, International Monetary Fund.
    12. Huang, Jin-ping, 1993. "Industry energy use and structural change : A case study of The People's Republic of China," Energy Economics, Elsevier, vol. 15(2), pages 131-136, April.
    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. Aristizabal-Ramirez, Maria & Leahy, John & Tesar, Linda L., 2023. "A north-south model of structural change and growth," Journal of Monetary Economics, Elsevier, vol. 133(C), pages 77-102.
    2. Comunale, Mariarosaria & Felice, Giulia, 2022. "Trade and structural change: An empirical investigation," International Economics, Elsevier, vol. 171(C), pages 58-79.
    3. Jaime Alonso-Carrera & Giulia Felice & Xavier Raurich, 2018. "Inequality and Structural Change under Non-Linear Engels' Curve," UB School of Economics Working Papers 2018/374, University of Barcelona School of Economics.
    4. Mariarosaria Comunale & Giulia Felice, 2019. "An empirical investigation of the relationship between trade and structural change," Bank of Lithuania Working Paper Series 62, Bank of Lithuania.
    5. Lidia Smitkova, 2018. "Does Openness Matter for Structural Change?," 2018 Meeting Papers 257, Society for Economic Dynamics.
    6. van Neuss, Leif, 2018. "Globalization and deindustrialization in advanced countries," Structural Change and Economic Dynamics, Elsevier, vol. 45(C), pages 49-63.
    7. James Bessen, 2018. "Artificial Intelligence and Jobs: The Role of Demand," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 291-307, National Bureau of Economic Research, Inc.
    8. Diego Comin & Danial Lashkari & Martí Mestieri, 2021. "Structural Change With Long‐Run Income and Price Effects," Econometrica, Econometric Society, vol. 89(1), pages 311-374, January.
    9. Javier Cravino & Andrei Levchenko & Marco Rojas, 2022. "Population Aging and Structural Transformation," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(4), pages 479-498, October.
    10. Herrendorf, Berthold & Rogerson, Richard & Valentinyi, Ákos, 2014. "Growth and Structural Transformation," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 6, pages 855-941, Elsevier.
    11. Francisco J. Buera & Joseph P. Kaboski & Martí Mestieri & Daniel G. O'Connor, 2020. "The Stable Transformation Path," NBER Working Papers 27731, National Bureau of Economic Research, Inc.
    12. Logan T Lewis & Ryan Monarch & Michael Sposi & Jing Zhang, 2022. "Structural Change and Global Trade," Journal of the European Economic Association, European Economic Association, vol. 20(1), pages 476-512.
    13. Tasso Adamopoulos & Fernando Leibovici, 2024. "Trade Risk and Food Security," Working Papers 2024-004, Federal Reserve Bank of St. Louis, revised Feb 2024.
    14. Manuel García‐Santana & Josep Pijoan‐Mas & Lucciano Villacorta, 2021. "Investment Demand and Structural Change," Econometrica, Econometric Society, vol. 89(6), pages 2751-2785, November.
    15. Margarida Duarte & Diego Restuccia, 2020. "Relative Prices and Sectoral Productivity," Journal of the European Economic Association, European Economic Association, vol. 18(3), pages 1400-1443.
    16. Fabian Eckert & Michael Peters, 2018. "Spatial Structural Change," 2018 Meeting Papers 98, Society for Economic Dynamics.
    17. Francisco J Buera & Joseph P Kaboski & Richard Rogerson & Juan I Vizcaino, 2022. "Skill-Biased Structural Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(2), pages 592-625.
    18. Sáenz, Luis Felipe, 2022. "Time-varying capital intensities and the hump-shaped evolution of economic activity in manufacturing," Journal of Macroeconomics, Elsevier, vol. 73(C).
    19. Michael Sposi, 2015. "Navigating the Structure of the Global Economy," Annual Report, Globalization and Monetary Policy Institute, Federal Reserve Bank of Dallas, pages 10-17.
    20. Gallipoli, Giovanni & Makridis, Christos A., 2018. "Structural transformation and the rise of information technology," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 91-110.

    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:jsusta:v:15:y:2023:i:18:p:13440-:d:1235314. 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.