IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v23y2021i9d10.1007_s10668-021-01247-w.html
   My bibliography  Save this article

How does economic infrastructure affect industrial energy efficiency convergence? Empirical evidence from China

Author

Listed:
  • Nian Wang

    (Nanjing University of Science and Technology
    Guangxi University of Finance and Economics)

  • Yingming Zhu

    (Nanjing University of Science and Technology
    Jiangsu Industrial Cluster Research Base (Nanjing University of Science and Technology))

  • Yu Pei

    (Nanjing University of Science and Technology
    Jiangsu Industrial Cluster Research Base (Nanjing University of Science and Technology))

Abstract

Examining how economic infrastructure affects China’s industrial energy efficiency (EE) convergence is critical in the process of overall industrial EE improvement, especially under the background of promoting equitable growth and developing a modernized economy. Based on panel data from 30 China’s provinces between 2000 and 2017, this paper explores the existence of industrial EE convergence and examines the influence of economic infrastructure on industrial EE convergence in China and three different regions. The results show clear evidence of convergence in industrial EE for China and the three regions, indicating that the lagging provinces tend to catch up with the advanced ones in the long term. The catch-up speed from the western region is the highest, followed by the central and eastern region. Economic infrastructure has significant impacts on industrial EE convergence in China and the three regions, while the impacts of different types of infrastructure are divergent across region. Energy infrastructure is conducive to industrial EE convergence in the eastern and western region, whereas transport infrastructure makes a better performance in the central region. These results provide useful insights for narrowing the industrial EE gap among regions from the supply side.

Suggested Citation

  • Nian Wang & Yingming Zhu & Yu Pei, 2021. "How does economic infrastructure affect industrial energy efficiency convergence? Empirical evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13973-13997, September.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:9:d:10.1007_s10668-021-01247-w
    DOI: 10.1007/s10668-021-01247-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-021-01247-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-021-01247-w?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. Stern, David I., 2012. "Modeling international trends in energy efficiency," Energy Economics, Elsevier, vol. 34(6), pages 2200-2208.
    2. Kounetas, Konstantinos Elias, 2018. "Energy consumption and CO2 emissions convergence in European Union member countries. A tonneau des Danaides?," Energy Economics, Elsevier, vol. 69(C), pages 111-127.
    3. Anthony J. Venables, 2005. "Spatial disparities in developing countries: cities, regions, and international trade," Journal of Economic Geography, Oxford University Press, vol. 5(1), pages 3-21, January.
    4. Long, Xingle & Sun, Mei & Cheng, Faxin & Zhang, Jijian, 2017. "Convergence analysis of eco-efficiency of China’s cement manufacturers through unit root test of panel data," Energy, Elsevier, vol. 134(C), pages 709-717.
    5. Zhou, D.Q. & Wang, Qunwei & Su, B. & Zhou, P. & Yao, L.X., 2016. "Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis," Applied Energy, Elsevier, vol. 166(C), pages 201-209.
    6. Mishra, Vinod & Smyth, Russell, 2017. "Conditional convergence in Australia's energy consumption at the sector level," Energy Economics, Elsevier, vol. 62(C), pages 396-403.
    7. Daniel G. Chatman & Robert B. Noland, 2014. "Transit Service, Physical Agglomeration and Productivity in US Metropolitan Areas," Urban Studies, Urban Studies Journal Limited, vol. 51(5), pages 917-937, April.
    8. Han, Lei & Han, Botang & Shi, Xunpeng & Su, Bin & Lv, Xin & Lei, Xiao, 2018. "Energy efficiency convergence across countries in the context of China’s Belt and Road initiative," Applied Energy, Elsevier, vol. 213(C), pages 112-122.
    9. Pan, Xiongfeng & Ai, Bowei & Li, Changyu & Pan, Xianyou & Yan, Yaobo, 2019. "Dynamic relationship among environmental regulation, technological innovation and energy efficiency based on large scale provincial panel data in China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 428-435.
    10. Cheng, Dong & Shi, Xunpeng & Yu, Jian, 2021. "The impact of green energy infrastructure on firm productivity: Evidence from the Three Gorges Project in China," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 385-406.
    11. Lin, Boqiang & Chen, Yu, 2019. "Will economic infrastructure development affect the energy intensity of China's manufacturing industry?," Energy Policy, Elsevier, vol. 132(C), pages 122-131.
    12. Mulder, Peter & de Groot, Henri L.F., 2012. "Structural change and convergence of energy intensity across OECD countries, 1970–2005," Energy Economics, Elsevier, vol. 34(6), pages 1910-1921.
    13. Jiang, Lei & Folmer, Henk & Ji, Minhe & Zhou, P., 2018. "Revisiting cross-province energy intensity convergence in China: A spatial panel analysis," Energy Policy, Elsevier, vol. 121(C), pages 252-263.
    14. Ouyang, Xiaoling & Gao, Beiying & Du, Kerui & Du, Gang, 2018. "Industrial sectors' energy rebound effect: An empirical study of Yangtze River Delta urban agglomeration," Energy, Elsevier, vol. 145(C), pages 408-416.
    15. Bandias, Susan & Ram Vemuri, Siva, 0. "Telecommunications infrastructure facilitating sustainable development of rural and remote communities in Northern Australia," Telecommunications Policy, Elsevier, vol. 29(2-3), pages 237-249, March.
    16. Mielnik, Otavio & Goldemberg, Jose, 2000. "Converging to a common pattern of energy use in developing and industrialized countries," Energy Policy, Elsevier, vol. 28(8), pages 503-508, July.
    17. Anil Markandya & Suzette Pedroso & Dalia Streimikiene, 2004. "Energy Efficiency in Transition Economies: Is There Convergence Towards the EU Average?," Working Papers 2004.89, Fondazione Eni Enrico Mattei.
    18. Qi, Shaozhou & Peng, Huarong & Zhang, Xiaoling & Tan, Xiujie, 2019. "Is energy efficiency of Belt and Road Initiative countries catching up or falling behind? Evidence from a panel quantile regression approach," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    19. Murshed, Muntasir & Dao, Nhung Thi Tuyet, 2020. "Revisiting the EKC hypothesis in South Asia: The role of Export Quality Improvement," MPRA Paper 111620, University Library of Munich, Germany, revised 2020.
    20. Ma, Ben, 2015. "Does urbanization affect energy intensities across provinces in China?Long-run elasticities estimation using dynamic panels with heterogeneous slopes," Energy Economics, Elsevier, vol. 49(C), pages 390-401.
    21. Muntasir Murshed, 2020. "Electricity conservation opportunities within private university campuses in Bangladesh," Energy & Environment, , vol. 31(2), pages 256-274, March.
    22. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    23. Wan, Jun & Baylis, Kathy & Mulder, Peter, 2015. "Trade-facilitated technology spillovers in energy productivity convergence processes across EU countries," Energy Economics, Elsevier, vol. 48(C), pages 253-264.
    24. Meng, Ming & Payne, James E. & Lee, Junsoo, 2013. "Convergence in per capita energy use among OECD countries," Energy Economics, Elsevier, vol. 36(C), pages 536-545.
    25. Karimu, Amin & Brännlund, Runar & Lundgren, Tommy & Söderholm, Patrik, 2017. "Energy intensity and convergence in Swedish industry: A combined econometric and decomposition analysis," Energy Economics, Elsevier, vol. 62(C), pages 347-356.
    26. Costa-Campi, María Teresa & García-Quevedo, José & Segarra, Agustí, 2015. "Energy efficiency determinants: An empirical analysis of Spanish innovative firms," Energy Policy, Elsevier, vol. 83(C), pages 229-239.
    27. Li, Ke & Lin, Boqiang, 2015. "Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China," Energy Economics, Elsevier, vol. 48(C), pages 230-241.
    28. Herrerias, M.J., 2012. "World energy intensity convergence revisited: A weighted distribution dynamics approach," Energy Policy, Elsevier, vol. 49(C), pages 383-399.
    29. Cui, Yin & Sun, Yu, 2019. "Social benefit of urban infrastructure: An empirical analysis of four Chinese autonomous municipalities," Utilities Policy, Elsevier, vol. 58(C), pages 16-26.
    30. Demir, Caner & Cergibozan, Raif, 2020. "Does alternative energy usage converge across Oecd countries?," Renewable Energy, Elsevier, vol. 146(C), pages 559-567.
    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. Payne, James E. & Vizek, Maruška & Lee, Junsoo, 2017. "Is there convergence in per capita renewable energy consumption across U.S. States? Evidence from LM and RALS-LM unit root tests with breaks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 715-728.
    2. Romero-Ávila, Diego & Omay, Tolga, 2022. "Convergence of per capita energy consumption around the world: New evidence from nonlinear panel unit root tests," Energy Economics, Elsevier, vol. 111(C).
    3. Balado-Naves, Roberto & Baños-Pino, José Francisco & Mayor, Matías, 2023. "Spatial spillovers and world energy intensity convergence," Energy Economics, Elsevier, vol. 124(C).
    4. Peng, Hua-Rong & Tan, Xiujie & Managi, Shunsuke & Taghizadeh-Hesary, Farhad, 2022. "Club convergence in energy efficiency of Belt and Road Initiative countries: The role of China’s outward foreign direct investment," Energy Policy, Elsevier, vol. 168(C).
    5. Payne, James E. & Vizek, Maruška & Lee, Junsoo, 2017. "Stochastic convergence in per capita fossil fuel consumption in U.S. states," Energy Economics, Elsevier, vol. 62(C), pages 382-395.
    6. Shichun Xu & Yiwen Li & Yuan Tao & Yan Wang & Yunfan Li, 2020. "Regional Differences in the Spatial Characteristics and Dynamic Convergence of Environmental Efficiency in China," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
    7. Ming Luo & Ruguo Fan & Yingqing Zhang, 2017. "A Study on China’s Urban Electricity Productivity Convergence with Spatial Smooth Transition Effect," Sustainability, MDPI, vol. 9(8), pages 1-18, August.
    8. Liu, Tie-Ying & Lee, Chien-Chiang, 2020. "Convergence of the world’s energy use," Resource and Energy Economics, Elsevier, vol. 62(C).
    9. Mateusz Jankiewicz, 2021. "The Convergence of Energy Use from Renewable Sources in the European Countries: Spatio-Temporal Approach," Energies, MDPI, vol. 14(24), pages 1-15, December.
    10. Qi, Shaozhou & Peng, Huarong & Zhang, Xiaoling & Tan, Xiujie, 2019. "Is energy efficiency of Belt and Road Initiative countries catching up or falling behind? Evidence from a panel quantile regression approach," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    11. Bhattacharya, Mita & Inekwe, John Nkwoma & Sadorsky, Perry & Saha, Anjan, 2018. "Convergence of energy productivity across Indian states and territories," Energy Economics, Elsevier, vol. 74(C), pages 427-440.
    12. Shemelis Kebede Hundie & Megersa Debela Daksa, 2019. "Does energy-environmental Kuznets curve hold for Ethiopia? The relationship between energy intensity and economic growth," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-21, December.
    13. Parker, Steven & Liddle, Brantley, 2017. "Economy-wide and manufacturing energy productivity transition paths and club convergence for OECD and non-OECD countries," Energy Economics, Elsevier, vol. 62(C), pages 338-346.
    14. Bello, Mufutau Opeyemi & Ch'ng, Kean Siang, 2022. "Convergence in energy intensity of GDP: Evidence from West African countries," Energy, Elsevier, vol. 254(PA).
    15. Jianhuan Huang & Yantuan Yu & Chunbo Ma, 2018. "Energy Efficiency Convergence in China: Catch-Up, Lock-In and Regulatory Uniformity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(1), pages 107-130, May.
    16. Wang, Juan & Hu, Mingming & Tukker, Arnold & Rodrigues, João F.D., 2019. "The impact of regional convergence in energy-intensive industries on China's CO2 emissions and emission goals," Energy Economics, Elsevier, vol. 80(C), pages 512-523.
    17. Chao Bao & Hongjie Wang, 2019. "Trans-Provincial Convergence of per Capita Energy Consumption in Urban China, 1990–2015," Sustainability, MDPI, vol. 11(5), pages 1-15, March.
    18. Huaping Sun & Bless Kofi Edziah & Xiaoqian Song & Anthony Kwaku Kporsu & Farhad Taghizadeh-Hesary, 2020. "Estimating Persistent and Transient Energy Efficiency in Belt and Road Countries: A Stochastic Frontier Analysis," Energies, MDPI, vol. 13(15), pages 1-19, July.
    19. Ajayi, V. & Reiner, D., 2018. "European Industrial Energy Intensity: The Role of Innovation 1995-2009," Cambridge Working Papers in Economics 1835, Faculty of Economics, University of Cambridge.
    20. Song, Yan & Sun, Junjie & Zhang, Ming & Su, Bin, 2020. "Using the Tapio-Z decoupling model to evaluate the decoupling status of China's CO2 emissions at provincial level and its dynamic trend," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 120-129.

    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:spr:endesu:v:23:y:2021:i:9:d:10.1007_s10668-021-01247-w. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.