IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v114y2022ics0140988322004406.html
   My bibliography  Save this article

Asymmetric information, “coal-to-gas” transition and coal reduction potential: An analysis using the nonparametric production frontier method

Author

Listed:
  • Song, Malin
  • Mangla, Sachin Kumar
  • Wang, Jianlin
  • Zhao, Jiajia
  • An, Jiafu

Abstract

Due to the asymmetry of information on the potential of coal reduction in each province, Chinese coal reduction plans and “coal-to-gas” policy are often not well-implemented. In this study, we proposed a nonparametric production frontier model to calculate the potential for coal reduction. Compared with the existing research, the model has many advantages, distinguishing between clean and dirty energy and reflecting the Kaldor-Hicks improvement in energy substitution. Based on China's provincial panel data from 2006 to 2017, this study uses the above model to measure the utilization efficiency and saving potential of coal and the effect of “coal-to-gas” transition. The results demonstrate that many provinces close to coal-producing areas, such as Shanxi, Shandong, Henan, and Hebei, have great potential for coal reduction, and should be the focus of the coal reduction policy. Shandong Province has the most additional coal savings due to “coal-to-gas”, and its effect is good in the northeast and some provinces in southern China, but not in most western provinces. The calculation results can help China's central government formulate a coal reduction incentive plan.

Suggested Citation

  • Song, Malin & Mangla, Sachin Kumar & Wang, Jianlin & Zhao, Jiajia & An, Jiafu, 2022. "Asymmetric information, “coal-to-gas” transition and coal reduction potential: An analysis using the nonparametric production frontier method," Energy Economics, Elsevier, vol. 114(C).
  • Handle: RePEc:eee:eneeco:v:114:y:2022:i:c:s0140988322004406
    DOI: 10.1016/j.eneco.2022.106311
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988322004406
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2022.106311?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. Rubinstein, Ariel, 1982. "Perfect Equilibrium in a Bargaining Model," Econometrica, Econometric Society, vol. 50(1), pages 97-109, January.
    2. Su, Chi-Wei & Li, Wenhao & Umar, Muhammad & Lobonţ, Oana-Ramona, 2022. "Can green credit reduce the emissions of pollutants?," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 205-219.
    3. Wang, En-Ze & Lee, Chien-Chiang & Li, Yaya, 2022. "Assessing the impact of industrial robots on manufacturing energy intensity in 38 countries," Energy Economics, Elsevier, vol. 105(C).
    4. Xie, Wei & Sheng, Pengfei & Guo, Xiaohui, 2015. "Coal, oil, or clean energy: Which contributes most to the low energy efficiency in China?," Utilities Policy, Elsevier, vol. 35(C), pages 67-71.
    5. Song, Malin & Xie, Qianjiao & Shen, Zhiyang, 2021. "Impact of green credit on high-efficiency utilization of energy in China considering environmental constraints," Energy Policy, Elsevier, vol. 153(C).
    6. Wang, Jian & Lv, Kangjuan & Bian, Yiwen & Cheng, Yu, 2017. "Energy efficiency and marginal carbon dioxide emission abatement cost in urban China," Energy Policy, Elsevier, vol. 105(C), pages 246-255.
    7. PER AGRELL & Peter Bogetoft & Jørgen Tind, 2005. "DEA and Dynamic Yardstick Competition in Scandinavian Electricity Distribution," Journal of Productivity Analysis, Springer, vol. 23(2), pages 173-201, May.
    8. William W. Cooper & Lawrence M. Seiford & Joe Zhu, 2011. "Data Envelopment Analysis: History, Models, and Interpretations," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 1-39, Springer.
    9. Jeanneaux, Philippe & Latruffe, Laure, 2016. "Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric frameworkAuthor-Name: Dakpo, K. Hervé," European Journal of Operational Research, Elsevier, vol. 250(2), pages 347-359.
    10. Considine, Timothy J. & Larson, Donald F., 2006. "The environment as a factor of production," Journal of Environmental Economics and Management, Elsevier, vol. 52(3), pages 645-662, November.
    11. Lee, Chi-Chuan & Lee, Chien-Chiang, 2022. "How does green finance affect green total factor productivity? Evidence from China," Energy Economics, Elsevier, vol. 107(C).
    12. Karen Palmer & Wallace E. Oates & Paul R. Portney & Karen Palmer & Wallace E. Oates & Paul R. Portney, 2004. "Tightening Environmental Standards: The Benefit-Cost or the No-Cost Paradigm?," Chapters, in: Environmental Policy and Fiscal Federalism, chapter 3, pages 53-66, Edward Elgar Publishing.
    13. Zhu, Joe, 2000. "Multi-factor performance measure model with an application to Fortune 500 companies," European Journal of Operational Research, Elsevier, vol. 123(1), pages 105-124, May.
    14. Peter Bogetoft, 1997. "DEA-based yardstick competition: The optimality of best practice regulation," Annals of Operations Research, Springer, vol. 73(0), pages 277-298, October.
    15. Geller, Howard & Harrington, Philip & Rosenfeld, Arthur H. & Tanishima, Satoshi & Unander, Fridtjof, 2006. "Polices for increasing energy efficiency: Thirty years of experience in OECD countries," Energy Policy, Elsevier, vol. 34(5), pages 556-573, March.
    16. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    17. Xu, Shuo & Ge, Jianping, 2020. "Sustainable shifting from coal to gas in North China: An analysis of resident satisfaction," Energy Policy, Elsevier, vol. 138(C).
    18. Li, Yi & Sun, Linyan & Feng, Taiwen & Zhu, Chunyan, 2013. "How to reduce energy intensity in China: A regional comparison perspective," Energy Policy, Elsevier, vol. 61(C), pages 513-522.
    19. Drew Fudenberg & Jean Tirole, 1983. "Sequential Bargaining with Incomplete Information," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 50(2), pages 221-247.
    20. Yuxiang, Karl & Chen, Zhongchang, 2010. "Government expenditure and energy intensity in China," Energy Policy, Elsevier, vol. 38(2), pages 691-694, February.
    21. Jan K. Brueckner, 2003. "Strategic Interaction Among Governments: An Overview of Empirical Studies," International Regional Science Review, , vol. 26(2), pages 175-188, April.
    22. Besley, Timothy & Case, Anne, 1995. "Incumbent Behavior: Vote-Seeking, Tax-Setting, and Yardstick Competition," American Economic Review, American Economic Association, vol. 85(1), pages 25-45, March.
    23. Ji Chou, 1995. "Old and New Development Models: The Taiwanese Experience," NBER Chapters, in: Growth Theories in Light of the East Asian Experience, pages 105-127, National Bureau of Economic Research, Inc.
    24. Lee, Chien-Chiang & Wang, Chih-Wei & Ho, Shan-Ju, 2022. "The dimension of green economy: Culture viewpoint," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 122-138.
    25. Fare, Rolf & Grosskopf, Shawna, 2004. "Modeling undesirable factors in efficiency evaluation: Comment," European Journal of Operational Research, Elsevier, vol. 157(1), pages 242-245, August.
    26. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
    27. Atakelty Hailu & Terrence S. Veeman, 2001. "Non-parametric Productivity Analysis with Undesirable Outputs: An Application to the Canadian Pulp and Paper Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 605-616.
    28. Wen, Huwei & Lee, Chien-Chiang & Zhou, Fengxiu, 2021. "Green credit policy, credit allocation efficiency and upgrade of energy-intensive enterprises," Energy Economics, Elsevier, vol. 94(C).
    29. Federico Revelli, 2005. "On Spatial Public Finance Empirics," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 12(4), pages 475-492, August.
    30. Murty, Sushama & Robert Russell, R. & Levkoff, Steven B., 2012. "On modeling pollution-generating technologies," Journal of Environmental Economics and Management, Elsevier, vol. 64(1), pages 117-135.
    31. 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.
    32. Lv, Chengchao & Shao, Changhua & Lee, Chien-Chiang, 2021. "Green technology innovation and financial development: Do environmental regulation and innovation output matter?," Energy Economics, Elsevier, vol. 98(C).
    33. Andrei Shleifer, 1985. "A Theory of Yardstick Competition," RAND Journal of Economics, The RAND Corporation, vol. 16(3), pages 319-327, Autumn.
    34. Proskuryakova, L. & Kovalev, A., 2015. "Measuring energy efficiency: Is energy intensity a good evidence base?," Applied Energy, Elsevier, vol. 138(C), pages 450-459.
    35. Catherine J. Morrison Paul & V. Eldon Ball & Ronald G. Felthoven & Arthur Grube & Richard F. Nehring, 2002. "Effective Costs and Chemical Use in United States Agricultural Production: Using the Environment as a “Free” Input," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 902-915.
    36. Hu, Jin-Li & Kao, Chih-Hung, 2007. "Efficient energy-saving targets for APEC economies," Energy Policy, Elsevier, vol. 35(1), pages 373-382, January.
    37. Jie Wu & Beibei Xiong & Qingxian An & Jiasen Sun & Huaqing Wu, 2017. "Total-factor energy efficiency evaluation of Chinese industry by using two-stage DEA model with shared inputs," Annals of Operations Research, Springer, vol. 255(1), pages 257-276, August.
    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. Wu, Jie & Zhao, Ruizeng & Sun, Jiasen & Zhou, Xuewei, 2023. "Impact of geopolitical risks on oil price fluctuations: Based on GARCH-MIDAS model," Resources Policy, Elsevier, vol. 85(PB).

    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. 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.
    2. Qi, Xiaoyan & Guo, Pibin & Guo, Yanshan & Liu, Xiuli & Zhou, Xijun, 2020. "Understanding energy efficiency and its drivers: An empirical analysis of China’s 14 coal intensive industries," Energy, Elsevier, vol. 190(C).
    3. Jeanneaux, Philippe & Latruffe, Laure, 2016. "Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric frameworkAuthor-Name: Dakpo, K. Hervé," European Journal of Operational Research, Elsevier, vol. 250(2), pages 347-359.
    4. Zhang, Weike & Luo, Qian & Liu, Shiyuan, 2022. "Is government regulation a push for corporate environmental performance? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 105-121.
    5. Yan, Huijie, 2015. "Provincial energy intensity in China: The role of urbanization," Energy Policy, Elsevier, vol. 86(C), pages 635-650.
    6. Yu, Yantuan & Peng, Chong & Li, Yushuang, 2019. "Do neighboring prefectures matter in promoting eco-efficiency? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 456-465.
    7. Kristien Werck & Bruno Heyndels & Benny Geys, 2008. "The impact of ‘central places’ on spatial spending patterns: evidence from Flemish local government cultural expenditures," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 32(1), pages 35-58, March.
    8. Qingyou Yan & Fei Zhao & Xu Wang & Tomas Balezentis, 2021. "The Environmental Efficiency Analysis Based on the Three-Step Method for Two-Stage Data Envelopment Analysis," Energies, MDPI, vol. 14(21), pages 1-14, October.
    9. 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.
    10. Lee, Chien-Chiang & Qin, Shuai & Li, Yaya, 2022. "Does industrial robot application promote green technology innovation in the manufacturing industry?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    11. Geys, Benny & Konrad, Kai A., . "Federalism and optimal allocation across levels of governance," Chapters in Economics,, University of Munich, Department of Economics.
    12. Geys, Benny, 2006. "Looking across borders: A test of spatial policy interdependence using local government efficiency ratings," Journal of Urban Economics, Elsevier, vol. 60(3), pages 443-462, November.
    13. Du, Minzhe & Wang, Bing & Zhang, Ning, 2018. "National research funding and energy efficiency: Evidence from the National Science Foundation of China," Energy Policy, Elsevier, vol. 120(C), pages 335-346.
    14. Abad, Arnaud & Briec, Walter, 2019. "On the axiomatic of pollution-generating technologies: Non-parametric production analysis," European Journal of Operational Research, Elsevier, vol. 277(1), pages 377-390.
    15. Wang, Zhaohua & He, Weijun & Wang, Bo, 2017. "Performance and reduction potential of energy and CO2 emissions among the APEC's members with considering the return to scale," Energy, Elsevier, vol. 138(C), pages 552-562.
    16. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    17. Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2018. "Environmental efficiency and abatement efficiency measurements of China's thermal power industry: A data envelopment analysis based materials balance approach," European Journal of Operational Research, Elsevier, vol. 269(1), pages 35-50.
    18. Beltrán-Esteve, Mercedes & Picazo-Tadeo, Andrés J., 2017. "Assessing environmental performance in the European Union: Eco-innovation versus catching-up," Energy Policy, Elsevier, vol. 104(C), pages 240-252.
    19. Erik Lundin, 2017. "Price mimicking under cost-of-service regulation: the Swedish water sector," Journal of Regulatory Economics, Springer, vol. 52(3), pages 313-332, December.
    20. Lee, Chia-Yen, 2018. "Mixed-strategy Nash equilibrium in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1013-1024.

    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:114:y:2022:i:c:s0140988322004406. 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.