IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v166y2022ics030142152200249x.html

Spatial effects of dynamic comprehensive energy efficiency on CO2 reduction in China

Author

Listed:
  • Abudureheman, Maliyamu
  • Jiang, Qingzhe
  • Dong, Xiucheng
  • Dong, Cong

Abstract

Controlling the growth of CO2 emissions has become a focus of China and improving energy efficiency is widely regarded as one of the most effective measures to reduce CO2 emissions. By constructing a dynamic comprehensive energy efficiency index, we estimated the energy efficiency of 30 provinces in China from 2001 to 2017 using the stochastic frontier analysis method. Then, we investigated the spatial effects of energy efficiency on CO2 emissions and its regional heterogeneity under geographic, economic, and social weight matrices by using the spatial Durbin model. The results indicate that the comprehensive energy efficiency of China shows a gradual improvement trend during the sample period. There exist spatial spillover effects of energy efficiency on regional CO2 reduction. Energy efficiency improvement in the eastern region shows significant spillover effect on neighboring area's CO2 reduction under the three weight matrices. The central region exhibits this spatial effect only under the weight of economic distance. However, there is no significant spillover effect in the western region. Economic factors play a greater role in the spillover effect of energy efficiency. The findings of this paper provide several important policy implications for improving energy efficiency and reducing CO2 emissions in various regions of China.

Suggested Citation

  • Abudureheman, Maliyamu & Jiang, Qingzhe & Dong, Xiucheng & Dong, Cong, 2022. "Spatial effects of dynamic comprehensive energy efficiency on CO2 reduction in China," Energy Policy, Elsevier, vol. 166(C).
    • Handle: RePEc:eee:enepol:v:166:y:2022:i:c:s030142152200249x
    DOI: 10.1016/j.enpol.2022.113024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030142152200249X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2022.113024?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

    for a different version of it.

    References listed on IDEAS

    as
    1. William Greene, 2010. "A stochastic frontier model with correction for sample selection," Journal of Productivity Analysis, Springer, vol. 34(1), pages 15-24, August.
    2. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2019. "Modelling dynamic impacts of urbanization on disaggregated energy consumption in China: A spatial Durbin modelling and decomposition approach," Energy Policy, Elsevier, vol. 133(C).
    3. 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).
    4. Chen, Zhe & Song, Pei & Wang, Baolu, 2021. "Carbon emissions trading scheme, energy efficiency and rebound effect – Evidence from China's provincial data," Energy Policy, Elsevier, vol. 157(C).
    5. Huang, Yongming & Ahmad, Maaz & Ali, Sher & Kirikkaleli, Dervis, 2022. "Does eco-innovation promote cleaner energy? Analyzing the role of energy price and human capital," Energy, Elsevier, vol. 239(PD).
    6. repec:aen:journl:2011v32-02-a03 is not listed on IDEAS
    7. Dong, Kangyin & Ren, Xiaohang & Zhao, Jun, 2021. "How does low-carbon energy transition alleviate energy poverty in China? A nonparametric panel causality analysis," Energy Economics, Elsevier, vol. 103(C).
    8. Meng, Ming & Qu, Danlei, 2022. "Understanding the green energy efficiencies of provinces in China: A Super-SBM and GML analysis," Energy, Elsevier, vol. 239(PA).
    9. Madhu Sehrawat & A. K. Giri, 2018. "The impact of financial development, economic growth, income inequality on poverty: evidence from India," Empirical Economics, Springer, vol. 55(4), pages 1585-1602, December.
    10. Salim, Ruhul & Yao, Yao & Chen, George S., 2017. "Does human capital matter for energy consumption in China?," Energy Economics, Elsevier, vol. 67(C), pages 49-59.
    11. Chen Lin & Jianchuan Qi & Sai Liang & Cuiyang Feng & Thomas O. Wiedmann & Yihan Liao & Xuechun Yang & Yumeng Li & Zhifu Mi & Zhifeng Yang, 2020. "Saving less in China facilitates global CO2 mitigation," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    12. Lin, Boqiang & Chen, Xing, 2020. "How technological progress affects input substitution and energy efficiency in China: A case of the non-ferrous metals industry," Energy, Elsevier, vol. 206(C).
    13. Qi, Tianyu & Weng, Yuyan & Zhang, Xiliang & He, Jiankun, 2016. "An analysis of the driving factors of energy-related CO2 emission reduction in China from 2005 to 2013," Energy Economics, Elsevier, vol. 60(C), pages 15-22.
    14. Goodness C. Aye & Prosper Ebruvwiyo Edoja, 2017. "Effect of economic growth on CO2 emission in developing countries: Evidence from a dynamic panel threshold model," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1379239-137, January.
    15. Rahman, Sanzidur & Hasan, M. Kamrul, 2014. "Energy productivity and efficiency of wheat farming in Bangladesh," Energy, Elsevier, vol. 66(C), pages 107-114.
    16. Jia, Zhijie & Wen, Shiyan & Sun, Zao, 2022. "Current relationship between coal consumption and the economic development and China's future carbon mitigation policies," Energy Policy, Elsevier, vol. 162(C).
    17. Wang, Wei-Zheng & Liu, Lan-Cui & Liao, Hua & Wei, Yi-Ming, 2021. "Impacts of urbanization on carbon emissions: An empirical analysis from OECD countries," Energy Policy, Elsevier, vol. 151(C).
    18. Bingjie Xu & Ruoyu Zhong & Gal Hochman & Kangyin Dong, 2019. "The environmental consequences of fossil fuels in China: National and regional perspectives," Sustainable Development, John Wiley & Sons, Ltd., vol. 27(5), pages 826-837, September.
    19. repec:aen:journl:2008v29-02-a02 is not listed on IDEAS
    20. Dong, Kangyin & Shahbaz, Muhammad & Zhao, Jun, 2022. "How do pollution fees affect environmental quality in China?," Energy Policy, Elsevier, vol. 160(C).
    21. Pablo-Romero, María del P. & Sánchez-Braza, Antonio, 2015. "Productive energy use and economic growth: Energy, physical and human capital relationships," Energy Economics, Elsevier, vol. 49(C), pages 420-429.
    22. Saunders, Harry D., 2013. "Historical evidence for energy efficiency rebound in 30 US sectors and a toolkit for rebound analysts," Technological Forecasting and Social Change, Elsevier, vol. 80(7), pages 1317-1330.
    23. Daniel Sakyi & Jose Villaverde & Adolfo Maza, 2015. "Trade openness, income levels, and economic growth: The case of developing countries, 1970--2009," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 24(6), pages 860-882, September.
    24. Gallaher, Adam & Graziano, Marcello & Fiaschetti, Maurizio, 2021. "Legacy and shockwaves: A spatial analysis of strengthening resilience of the power grid in Connecticut," Energy Policy, Elsevier, vol. 159(C).
    25. Liu, Haomin & Zhang, Zaixu & Zhang, Tao & Wang, Liyang, 2020. "Revisiting China’s provincial energy efficiency and its influencing factors," Energy, Elsevier, vol. 208(C).
    26. Ouyang, Xiaoling & Fang, Xingming & Cao, Yan & Sun, Chuanwang, 2020. "Factors behind CO2 emission reduction in Chinese heavy industries: Do environmental regulations matter?," Energy Policy, Elsevier, vol. 145(C).
    27. Fang, Zheng & Chen, Yang, 2017. "Human capital and energy in economic growth – Evidence from Chinese provincial data," Energy Economics, Elsevier, vol. 68(C), pages 340-358.
    28. M. Diaz & Rosario Sanchez, 2008. "Firm size and productivity in Spain: a stochastic frontier analysis," Small Business Economics, Springer, vol. 30(3), pages 315-323, March.
    29. Xiaosan, Zhang & Qingquan, Jiang & Shoukat Iqbal, Khattak & Manzoor, Ahmad & Zia Ur, Rahman, 2021. "Achieving sustainability and energy efficiency goals: Assessing the impact of hydroelectric and renewable electricity generation on carbon dioxide emission in China," Energy Policy, Elsevier, vol. 155(C).
    30. Dong, Kangyin & Sun, Renjin & Hochman, Gal, 2017. "Do natural gas and renewable energy consumption lead to less CO2 emission? Empirical evidence from a panel of BRICS countries," Energy, Elsevier, vol. 141(C), pages 1466-1478.
    31. 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.
    32. Léopold Simar, 2003. "Detecting Outliers in Frontier Models: A Simple Approach," Journal of Productivity Analysis, Springer, vol. 20(3), pages 391-424, November.
    33. Boyd, Gale A. & Pang, Joseph X., 2000. "Estimating the linkage between energy efficiency and productivity," Energy Policy, Elsevier, vol. 28(5), pages 289-296, May.
    34. Caragliu, Andrea, 2021. "Energy efficiency-enhancing policies and firm performance: Evidence from the paper and glass industries in Italy," Energy Policy, Elsevier, vol. 156(C).
    35. Asim Anwar & Mustafa Younis & Inayat Ullah, 2020. "Impact of Urbanization and Economic Growth on CO 2 Emission: A Case of Far East Asian Countries," IJERPH, MDPI, vol. 17(7), pages 1-8, April.
    36. Liu, Hongwei & Yang, Ronglu & Wu, Jie & Chu, Junfei, 2021. "Total-factor energy efficiency change of the road transportation industry in China: A stochastic frontier approach," Energy, Elsevier, vol. 219(C).
    37. Zeng, Chen & Stringer, Lindsay C. & Lv, Tianyu, 2021. "The spatial spillover effect of fossil fuel energy trade on CO2 emissions," Energy, Elsevier, vol. 223(C).
    38. Meredith Fowlie & Michael Greenstone & Catherine Wolfram, 2018. "Do Energy Efficiency Investments Deliver? Evidence from the Weatherization Assistance Program," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1597-1644.
    39. Shao, Shuai & Huang, Tao & Yang, Lili, 2014. "Using latent variable approach to estimate China׳s economy-wide energy rebound effect over 1954–2010," Energy Policy, Elsevier, vol. 72(C), pages 235-248.
    40. Chen, Yao & Iqbal Ali, Agha, 2004. "DEA Malmquist productivity measure: New insights with an application to computer industry," European Journal of Operational Research, Elsevier, vol. 159(1), pages 239-249, November.
    41. Elhorst, J. Paul & Lacombe, Donald J. & Piras, Gianfranco, 2012. "On model specification and parameter space definitions in higher order spatial econometric models," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 211-220.
    42. Nemet, Gregory F. & Lu, Jiaqi & Rai, Varun & Rao, Rohan, 2020. "Knowledge spillovers between PV installers can reduce the cost of installing solar PV," Energy Policy, Elsevier, vol. 144(C).
    43. He, Yong & Fu, Feifei & Liao, Nuo, 2021. "Exploring the path of carbon emissions reduction in China’s industrial sector through energy efficiency enhancement induced by R&D investment," Energy, Elsevier, vol. 225(C).
    44. Jiang, Jinhe, 2016. "China's urban residential carbon emission and energy efficiency policy," Energy, Elsevier, vol. 109(C), pages 866-875.
    45. Fan, Wei & Li, Li & Wang, Feiran & Li, Ding, 2020. "Driving factors of CO2 emission inequality in China: The role of government expenditure," China Economic Review, Elsevier, vol. 64(C).
    46. Wu, Haitao & Xue, Yan & Hao, Yu & Ren, Siyu, 2021. "How does internet development affect energy-saving and emission reduction? Evidence from China," Energy Economics, Elsevier, vol. 103(C).
    47. Wu, F. & Fan, L.W. & Zhou, P. & Zhou, D.Q., 2012. "Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis," Energy Policy, Elsevier, vol. 49(C), pages 164-172.
    48. Wang, Bin & Yu, Minxiu & Zhu, Yucheng & Bao, Pinjuan, 2021. "Unveiling the driving factors of carbon emissions from industrial resource allocation in China: A spatial econometric perspective," Energy Policy, Elsevier, vol. 158(C).
    49. Zhang, Yue-Jun & Peng, Hua-Rong & Su, Bin, 2017. "Energy rebound effect in China's Industry: An aggregate and disaggregate analysis," Energy Economics, Elsevier, vol. 61(C), pages 199-208.
    50. Huang, Junbing & Xiang, Shiqi & Wang, Yajun & Chen, Xiang, 2021. "Energy-saving R&D and carbon intensity in China," Energy Economics, Elsevier, vol. 98(C).
    51. Bjelle, Eivind Lekve & Wiebe, Kirsten S. & Többen, Johannes & Tisserant, Alexandre & Ivanova, Diana & Vita, Gibran & Wood, Richard, 2021. "Future changes in consumption: The income effect on greenhouse gas emissions," Energy Economics, Elsevier, vol. 95(C).
    52. Shahbaz, Muhammad & Loganathan, Nanthakumar & Muzaffar, Ahmed Taneem & Ahmed, Khalid & Ali Jabran, Muhammad, 2016. "How urbanization affects CO2 emissions in Malaysia? The application of STIRPAT model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 83-93.
    53. Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    54. repec:aen:journl:ej37-3-adetutu is not listed on IDEAS
    55. Marmolejo-Duarte, Carlos & Onecha-Pérez, Belén, 2021. "The spatial uneven difussion of energy-efficiency transparency policy. An analysis of the multi-family market in Barcelona," Energy Policy, Elsevier, vol. 156(C).
    56. Nguyen, Canh Phuc & Nasir, Muhammad Ali, 2021. "An inquiry into the nexus between energy poverty and income inequality in the light of global evidence," Energy Economics, Elsevier, vol. 99(C).
    57. Xie, Rui & Fu, Wei & Yao, Siling & Zhang, Qi, 2021. "Effects of financial agglomeration on green total factor productivity in Chinese cities: Insights from an empirical spatial Durbin model," Energy Economics, Elsevier, vol. 101(C).
    58. Liu, Fuh-Hwa Franklin & Wang, Peng-hsiang, 2008. "DEA Malmquist productivity measure: Taiwanese semiconductor companies," International Journal of Production Economics, Elsevier, vol. 112(1), pages 367-379, March.
    59. Craglia, Matteo & Cullen, Jonathan, 2020. "Do vehicle efficiency improvements lead to energy savings? The rebound effect in Great Britain," Energy Economics, Elsevier, vol. 88(C).
    60. Yan, Zheming & Ouyang, Xiaoling & Du, Kerui, 2019. "Economy-wide estimates of energy rebound effect: Evidence from China's provinces," Energy Economics, Elsevier, vol. 83(C), pages 389-401.
    61. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    62. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
    63. Siyu Ren & Yu Hao & Haitao Wu, 2022. "How Does Green Investment Affect Environmental Pollution? Evidence from China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(1), pages 25-51, January.
    64. Wei, Zixiang & Han, Botang & Pan, Xiuzhen & Shahbaz, Muhammad & Zafar, Muhammad Wasif, 2020. "Effects of diversified openness channels on the total-factor energy efficiency in China's manufacturing sub-sectors: Evidence from trade and FDI spillovers," Energy Economics, Elsevier, vol. 90(C).
    65. Lin, Boqiang & Du, Kerui, 2014. "Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy," Energy, Elsevier, vol. 76(C), pages 884-890.
    66. Jin, Gang & Yu, Binbin & Shen, Kunrong, 2021. "Domestic trade and energy productivity in China: An inverted U-shaped relationship," Energy Economics, Elsevier, vol. 97(C).
    67. Dong, Kangyin & Dong, Xiucheng & Jiang, Qingzhe & Zhao, Jun, 2021. "Assessing energy resilience and its greenhouse effect: A global perspective," Energy Economics, Elsevier, vol. 104(C).
    68. Mahdi Ziaei, Sayyed, 2015. "Effects of financial development indicators on energy consumption and CO2 emission of European, East Asian and Oceania countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 752-759.
    69. Pan, Xiuzhen & Wei, Zixiang & Han, Botang & Shahbaz, Muhammad, 2021. "The heterogeneous impacts of interregional green technology spillover on energy intensity in China," Energy Economics, Elsevier, vol. 96(C).
    70. Balezentis, Tomas, 2020. "Shrinking ageing population and other drivers of energy consumption and CO2 emission in the residential sector: A case from Eastern Europe," Energy Policy, Elsevier, vol. 140(C).
    71. Al-mulali, Usama & Fereidouni, Hassan Gholipour & Lee, Janice Y.M. & Sab, Che Normee Binti Che, 2013. "Exploring the relationship between urbanization, energy consumption, and CO2 emission in MENA countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 107-112.
    72. Sadorsky, Perry, 2014. "The effect of urbanization on CO2 emissions in emerging economies," Energy Economics, Elsevier, vol. 41(C), pages 147-153.
    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. Guo, Qiu-tong & Dong, Yong & Feng, Biao & Zhang, Hao, 2023. "Can green finance development promote total-factor energy efficiency? Empirical evidence from China based on a spatial Durbin model," Energy Policy, Elsevier, vol. 177(C).
    2. Maliyamu Abudureheman & Qingzhe Jiang & Jiong Gong & Abulaiti Yiming, 2023. "Estimating and Decomposing the TFP Growth of Service-Oriented Manufacturing in China: A Translogarithmic Stochastic Frontier Approach," Sustainability, MDPI, vol. 15(7), pages 1-20, March.
    3. Ya Wu & Yin Liu, 2025. "How does the digital economy affect urban CO2 emissions? Mechanism discussion and empirical test," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(6), pages 14097-14122, June.

    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. Maliyamu Abudureheman & Qingzhe Jiang & Xiucheng Dong & Cong Dong, 2022. "CO 2 Emissions in China: Does the Energy Rebound Matter?," Energies, MDPI, vol. 15(12), pages 1-25, June.
    2. Maliyamu Abudureheman & Qingzhe Jiang & Jiong Gong & Abulaiti Yiming, 2023. "Estimating and Decomposing the TFP Growth of Service-Oriented Manufacturing in China: A Translogarithmic Stochastic Frontier Approach," Sustainability, MDPI, vol. 15(7), pages 1-20, March.
    3. Ouyang, Xiaoling & Chen, Jiaqi & Du, Kerui, 2021. "Energy efficiency performance of the industrial sector: From the perspective of technological gap in different regions in China," Energy, Elsevier, vol. 214(C).
    4. Yan, Zheming & Ouyang, Xiaoling & Du, Kerui, 2019. "Economy-wide estimates of energy rebound effect: Evidence from China's provinces," Energy Economics, Elsevier, vol. 83(C), pages 389-401.
    5. Dou, Yue & Zhao, Jun & Dong, Xiucheng & Dong, Kangyin, 2021. "Quantifying the impacts of energy inequality on carbon emissions in China: A household-level analysis," Energy Economics, Elsevier, vol. 102(C).
    6. Chen, Jiandong & Gao, Ming & Shahbaz, Muhammad & Cheng, Shulei & Song, Malin, 2021. "An improved decomposition approach toward energy rebound effects in China: Review since 1992," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    7. Bingjie Xu & Ruoyu Zhong & Hui Qiao, 2020. "The impact of biofuel consumption on CO2 emissions: A panel data analysis for seven selected G20 countries," Energy & Environment, , vol. 31(8), pages 1498-1514, December.
    8. Lin, Boqiang & Du, Kerui, 2014. "Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy," Energy, Elsevier, vol. 76(C), pages 884-890.
    9. Tao Ma & Xiaoxi Cao, 2022. "FDI, technological progress, and green total factor energy productivity: evidence from 281 prefecture cities in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 11058-11088, September.
    10. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    11. Tan, Ruipeng & Zhang, Zixuan & Du, Kerui & Lin, Boqiang, 2025. "Energy rebound effect in China: Measurement based on a variable coefficient production function," Ecological Economics, Elsevier, vol. 230(C).
    12. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2020. "Effects of urbanization on energy efficiency in China: New evidence from short run and long run efficiency models," Energy Policy, Elsevier, vol. 147(C).
    13. Li, Jianglong & Liu, Hongxun & Du, Kerui, 2019. "Does market-oriented reform increase energy rebound effect? Evidence from China's regional development," China Economic Review, Elsevier, vol. 56(C), pages 1-1.
    14. Akihiro Otsuka, 2020. "How do population agglomeration and interregional networks improve energy efficiency?," Asia-Pacific Journal of Regional Science, Springer, vol. 4(1), pages 1-25, February.
    15. Fan, Di & Peng, Bo & Wu, Jianxin & Zhang, ZhongXiang, 2024. "The convergence of total-factor energy efficiency across Chinese cities: A distribution dynamics approach," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 406-416.
    16. Caragliu, Andrea, 2021. "Energy efficiency-enhancing policies and firm performance: Evidence from the paper and glass industries in Italy," Energy Policy, Elsevier, vol. 156(C).
    17. Thai-Ha Le, 2021. "Drivers of greenhouse gas emissions in ASEAN + 6 countries: a new look," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 18096-18115, December.
    18. Miao, Zhuang & Chen, Xiaodong, 2022. "Combining parametric and non-parametric approach, variable & source -specific productivity changes and rebound effect of energy & environment," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    19. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    20. Ouyang, Xiaoling & Yang, Yuchuan & Du, Kerui & Cheng, Zhenyu, 2022. "How does residential electricity consumption respond to electricity efficiency improvement? Evidence from 287 prefecture-level cities in China," Energy Policy, Elsevier, vol. 171(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    Statistics

    Access and download statistics

    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:enepol:v:166:y:2022:i:c:s030142152200249x. 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/enpol .

    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.