IDEAS home Printed from https://ideas.repec.org/a/sae/enejou/v37y2016i1_supplp3-28.html
   My bibliography  Save this article

Convergence of Operational Efficiency in China’s Provincial Power Sectors

Author

Listed:
  • Vishal Chandr Jaunky
  • Lin Zhang

Abstract

To analyze the operational efficiency of Chinese power sector at the provincial level, this paper studies the convergence of technical efficiency and productivity growth of electricity across 29 Chinese provinces during the period 1996-2008 using several convergence models. Depending on the model being employed, we find evidence of convergence of operational efficiency towards either a national steady state or towards their own steady states, with the latter process occurring more rapidly. In essence, our study provides evidence of negative effects of government intervention. Additionally, we use the nonparametric distribution dynamics approach to analyze intra-distributional dynamics of technical efficiency and productivity. We find some support for productivity convergence while technical efficiency does not converge for provinces with relatively low levels. We discuss policy implementations based on our model results and highlight several aspects for policy making in the power sector reforms currently being undertaken.

Suggested Citation

  • Vishal Chandr Jaunky & Lin Zhang, 2016. "Convergence of Operational Efficiency in China’s Provincial Power Sectors," The Energy Journal, , vol. 37(1_suppl), pages 3-28, January.
  • Handle: RePEc:sae:enejou:v:37:y:2016:i:1_suppl:p:3-28
    DOI: 10.5547/01956574.37.SI1.vjau
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5547/01956574.37.SI1.vjau
    Download Restriction: no

    File URL: https://libkey.io/10.5547/01956574.37.SI1.vjau?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. Jobert, Thomas & Karanfil, Fatih & Tykhonenko, Anna, 2010. "Convergence of per capita carbon dioxide emissions in the EU: Legend or reality?," Energy Economics, Elsevier, vol. 32(6), pages 1364-1373, November.
    2. Aude Le Lannier & Simon Porcher, 2014. "Efficiency in the public and private French water utilities: prospects for benchmarking," Applied Economics, Taylor & Francis Journals, vol. 46(5), pages 556-572, February.
    3. Chu Wei & Jinlan Ni & Manhong Shen, 2009. "Empirical Analysis of Provincial Energy Efficiency in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 17(5), pages 88-103, September.
    4. Zachmann, Georg, 2008. "Electricity wholesale market prices in Europe: Convergence?," Energy Economics, Elsevier, vol. 30(4), pages 1659-1671, July.
    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. Vishal Chandr Jaunky and Lin Zhang, 2016. "Convergence of Operational Efficiency in Chinas Provincial Power Sectors," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    2. Hasan, Mudassar & Arif, Muhammad & Naeem, Muhammad Abubakr & Ngo, Quang-Thanh & Taghizadeh–Hesary, Farhad, 2021. "Time-frequency connectedness between Asian electricity sectors," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 208-224.
    3. Growitsch Christian & Nepal Rabindra & Stronzik Marcus, 2015. "Price Convergence and Information Efficiency in German Natural Gas Markets," German Economic Review, De Gruyter, vol. 16(1), pages 87-103, February.
    4. Florian Ziel & Rick Steinert & Sven Husmann, 2015. "Forecasting day ahead electricity spot prices: The impact of the EXAA to other European electricity markets," Papers 1501.00818, arXiv.org, revised Dec 2015.
    5. Juan Antonio Duro & Jordi Teixidó-Figueras & Emilio Padilla, 2017. "The Causal Factors of International Inequality in $$\hbox {CO}_{2}$$ CO 2 Emissions Per Capita: A Regression-Based Inequality Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(4), pages 683-700, August.
    6. Han, Lin & Kordzakhia, Nino & Trück, Stefan, 2020. "Volatility spillovers in Australian electricity markets," Energy Economics, Elsevier, vol. 90(C).
    7. Duro, Juan Antonio, 2013. "International mobility in carbon dioxide emissions," Energy Policy, Elsevier, vol. 55(C), pages 208-216.
    8. Böckers, Veit & Heimeshoff, Ulrich, 2014. "The extent of European power markets," Energy Economics, Elsevier, vol. 46(C), pages 102-111.
    9. Jian-Xin Wu & Ling-Yun He, 2017. "The Distribution Dynamics of Carbon Dioxide Emissions Intensity across Chinese Provinces: A Weighted Approach," Sustainability, MDPI, vol. 9(1), pages 1-19, January.
    10. Ladislav KRISTOUFEK & Petra LUNACKOVA, 2013. "Long-term Memory in Electricity Prices: Czech Market Evidence," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(5), pages 407-424, November.
    11. Otsuka, Akihiro, 2023. "Industrial electricity consumption efficiency and energy policy in Japan," Utilities Policy, Elsevier, vol. 81(C).
    12. Glachant, Jean-Michel & Ruester, Sophia, 2014. "The EU internal electricity market: Done forever?," Utilities Policy, Elsevier, vol. 30(C), pages 1-7.
    13. Hellwig, Michael & Polk, Andreas, 2021. "Do political links influence water prices? Determinants of water prices in Germany," Utilities Policy, Elsevier, vol. 70(C).
    14. Lin, Boqiang & Li, Xuehui, 2011. "The effect of carbon tax on per capita CO2 emissions," Energy Policy, Elsevier, vol. 39(9), pages 5137-5146, September.
    15. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
    16. Shi Chen & Wolfgang Karl Hardle & Brenda L'opez Cabrera, 2020. "Regularization Approach for Network Modeling of German Power Derivative Market," Papers 2009.09739, arXiv.org.
    17. Nakamura, Eri & Sakai, Hiroki & Shoji, Kenichi, 2018. "Managerial transfers to reduce transaction costs among affiliated firms: Case study of Japanese railway holding companies," Utilities Policy, Elsevier, vol. 53(C), pages 102-110.
    18. Massimo Filippini & Luis Orea, 2014. "Applications of the stochastic frontier approach in Energy Economics," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 35-42.
    19. Henriques, Alda A. & Camanho, Ana S. & Amorim, Pedro & Silva, Jaime G., 2020. "Performance benchmarking using composite indicators to support regulation of the Portuguese wastewater sector," Utilities Policy, Elsevier, vol. 66(C).
    20. Georgia Makridou & Kostas Andriosopoulos & Michael Doumpos & Constantin Zopounidis, 2015. "A Two-stage Approach for Energy Efficiency Analysis in European Union Countries," The Energy Journal, , vol. 36(2), pages 47-70, April.

    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:sae:enejou:v:37:y:2016:i:1_suppl:p:3-28. 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: SAGE Publications (email available below). General contact details of provider: .

    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.