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The formation mechanism of China's energy transition pattern based on the analysis of the “dynamics-efficiency-quality” ternary system

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  • Li, Dong
  • He, Bin
  • Yao, Qingyu
  • Yang, Wanping

Abstract

This paper introduces the "E-DEQ" theoretical framework for analyzing energy transition patterns and establishes an evaluation system to assess the dynamics, efficiency, and quality of energy transitions. It examines the evolving trends within this "dynamics-efficiency-quality" ternary system across various provinces in China from 2000 to 2019. We employ the coordinated development model and the panel vector error correction model to investigate the coordinated evolution of energy transition patterns. The findings reveal that energy transition system exhibits a phased and fluctuating growth trend characterized by significant regional disparities; the eastern region displays the strongest performance, while the central and western regions lag. The coordinated development of this system is reinforced by a consistently rising development effect, with dynamics serving as the primary driving factor, reflecting a trend of "virtuous resonance and highly coordinated." This system reveals short-term interactive enhancement, a notable long-term equilibrium trend, and a distinct circular cumulative causal effect. This paper methodically constructs the "E-DEQ" theoretical framework for energy transition from the evolutionary economics perspective, with China serving as a case study. The framework is designed to offer decision-making support for developing economies aiming to regulate dynamics, enhance efficiency, and improve the quality of their energy transition.

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  • Li, Dong & He, Bin & Yao, Qingyu & Yang, Wanping, 2025. "The formation mechanism of China's energy transition pattern based on the analysis of the “dynamics-efficiency-quality” ternary system," Structural Change and Economic Dynamics, Elsevier, vol. 74(C), pages 225-239.
    • Handle: RePEc:eee:streco:v:74:y:2025:i:c:p:225-239
    DOI: 10.1016/j.strueco.2025.03.013
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    as
    1. Liu, Yaqin & Zhao, Guohao & Zhao, Yushan, 2016. "An analysis of Chinese provincial carbon dioxide emission efficiencies based on energy consumption structure," Energy Policy, Elsevier, vol. 96(C), pages 524-533.
    2. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency: Some clarifications," European Journal of Operational Research, Elsevier, vol. 206(3), pages 702-702, November.
    3. Fadly, Dalia, 2019. "Low-carbon transition: Private sector investment in renewable energy projects in developing countries," World Development, Elsevier, vol. 122(C), pages 552-569.
    4. Yao, Yao & Ivanovski, Kris & Inekwe, John & Smyth, Russell, 2019. "Human capital and energy consumption: Evidence from OECD countries," Energy Economics, Elsevier, vol. 84(C).
    5. Fadly, Dalia & Fontes, Francisco, 2019. "Geographical proximity and renewable energy diffusion: An empirical approach," Energy Policy, Elsevier, vol. 129(C), pages 422-435.
    6. Gong, Xu & Wang, You & Lin, Boqiang, 2021. "Assessing dynamic China’s energy security: Based on functional data analysis," Energy, Elsevier, vol. 217(C).
    7. Li, Li & Hong, Xuefei & Peng, Ke, 2019. "A spatial panel analysis of carbon emissions, economic growth and high-technology industry in China," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 83-92.
    8. Su, Xiang & Tan, Junlan, 2023. "Regional energy transition path and the role of government support and resource endowment in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 174(C).
    9. Wang, Chao & Zhan, Jinyan & Xin, Zhongling, 2020. "Comparative analysis of urban ecological management models incorporating low-carbon transformation," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    10. Bi, Gong-Bing & Song, Wen & Zhou, P. & Liang, Liang, 2014. "Does environmental regulation affect energy efficiency in China's thermal power generation? Empirical evidence from a slacks-based DEA model," Energy Policy, Elsevier, vol. 66(C), pages 537-546.
    11. Zheng, Shuhong & Yang, Juan & Yu, Shiwei, 2021. "How renewable energy technological innovation promotes renewable power generation: Evidence from China's provincial panel data," Renewable Energy, Elsevier, vol. 177(C), pages 1394-1407.
    12. Olabi, A.G. & Abdelkareem, Mohammad Ali, 2022. "Renewable energy and climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    13. Chuang, Ming Chih & Ma, Hwong Wen, 2013. "An assessment of Taiwan’s energy policy using multi-dimensional energy security indicators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 301-311.
    14. 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.
    15. Chu, Lan Khanh & Ghosh, Sudeshna & Doğan, Buhari & Nguyen, Nam Hoai & Shahbaz, Muhammad, 2023. "Energy security as new determinant of renewable energy: The role of economic complexity in top energy users," Energy, Elsevier, vol. 263(PC).
    16. Sun, Huaping & Edziah, Bless Kofi & Sun, Chuanwang & Kporsu, Anthony Kwaku, 2019. "Institutional quality, green innovation and energy efficiency," Energy Policy, Elsevier, vol. 135(C).
    17. Sovacool, Benjamin K., 2013. "Assessing energy security performance in the Asia Pacific, 1990–2010," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 228-247.
    18. Ji, Qiang & Zhang, Dayong, 2019. "How much does financial development contribute to renewable energy growth and upgrading of energy structure in China?," Energy Policy, Elsevier, vol. 128(C), pages 114-124.
    19. Fukuyama, Hirofumi & Weber, William L., 2010. "A slacks-based inefficiency measure for a two-stage system with bad outputs," Omega, Elsevier, vol. 38(5), pages 398-409, October.
    20. Wang, Shaojian & Zeng, Jingyuan & Liu, Xiaoping, 2019. "Examining the multiple impacts of technological progress on CO2 emissions in China: A panel quantile regression approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 140-150.
    21. Lin, Boqiang & Du, Kerui, 2013. "Technology gap and China's regional energy efficiency: A parametric metafrontier approach," Energy Economics, Elsevier, vol. 40(C), pages 529-536.
    22. Bourcet, Clémence, 2020. "Empirical determinants of renewable energy deployment: A systematic literature review," Energy Economics, Elsevier, vol. 85(C).
    23. 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.
    24. 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.
    25. William Nordhaus, 2019. "Climate Change: The Ultimate Challenge for Economics," American Economic Review, American Economic Association, vol. 109(6), pages 1991-2014, June.
    26. Alwyn Young, 2000. "The Razor's Edge: Distortions and Incremental Reform in the People's Republic of China," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(4), pages 1091-1135.
    27. Ibrahiem, Dalia M. & Hanafy, Shaimaa A., 2021. "Do energy security and environmental quality contribute to renewable energy? The role of trade openness and energy use in North African countries," Renewable Energy, Elsevier, vol. 179(C), pages 667-678.
    28. Li, Lan-Bing & Hu, Jin-Li, 2012. "Ecological total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 46(C), pages 216-224.
    29. Zhang, Zixuan & Chen, Huaichao, 2022. "Dynamic interaction of renewable energy technological innovation, environmental regulation intensity and carbon pressure: Evidence from China," Renewable Energy, Elsevier, vol. 192(C), pages 420-430.
    30. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    31. Lau, Chi Keung & Gozgor, Giray & Mahalik, Mantu Kumar & Patel, Gupteswar & Li, Jing, 2023. "Introducing a new measure of energy transition: Green quality of energy mix and its impact on CO2 emissions," Energy Economics, Elsevier, vol. 122(C).
    32. Cergibozan, Raif, 2022. "Renewable energy sources as a solution for energy security risk: Empirical evidence from OECD countries," Renewable Energy, Elsevier, vol. 183(C), pages 617-626.
    33. Aguirre, Mariana & Ibikunle, Gbenga, 2014. "Determinants of renewable energy growth: A global sample analysis," Energy Policy, Elsevier, vol. 69(C), pages 374-384.
    34. Jiang, Zhujun & Lin, Boqiang, 2012. "China's energy demand and its characteristics in the industrialization and urbanization process," Energy Policy, Elsevier, vol. 49(C), pages 608-615.
    35. Sadorsky, Perry, 2009. "Renewable energy consumption, CO2 emissions and oil prices in the G7 countries," Energy Economics, Elsevier, vol. 31(3), pages 456-462, May.
    36. Lin, Boqiang & Wang, Xiaolei, 2014. "Exploring energy efficiency in China׳s iron and steel industry: A stochastic frontier approach," Energy Policy, Elsevier, vol. 72(C), pages 87-96.
    37. Yang, Zheng & Zhan, Jinyan, 2024. "Examining the multiple impacts of renewable energy development on redefined energy security in China: A panel quantile regression approach," Renewable Energy, Elsevier, vol. 221(C).
    38. Lin, Boqiang & Jia, Zhijie, 2019. "What will China's carbon emission trading market affect with only electricity sector involvement? A CGE based study," Energy Economics, Elsevier, vol. 78(C), pages 301-311.
    39. Rabindra Nepal & Hammed Oluwaseyi Musibau, 2021. "Energy Security, Renewable, Non-Renewable Energy And Economic Growth In Asean Economies: New Insights," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 66(02), pages 457-488, March.
    40. Ouyang, Xiaoling & Lin, Boqiang, 2015. "An analysis of the driving forces of energy-related carbon dioxide emissions in China’s industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 838-849.
    41. Alwyn Young, 2000. "The Razor's Edge: Distortions and Incremental Reform in the People's Republic of China," NBER Working Papers 7828, National Bureau of Economic Research, Inc.
    42. Filippini, Massimo & Geissmann, Thomas & Karplus, Valerie J. & Zhang, Da, 2020. "The productivity impacts of energy efficiency programs in developing countries: Evidence from iron and steel firms in China," China Economic Review, Elsevier, vol. 59(C).
    43. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency," European Journal of Operational Research, Elsevier, vol. 200(1), pages 320-322, January.
    44. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    45. Guo, Xiao-Dan & Zhu, Lei & Fan, Ying & Xie, Bai-Chen, 2011. "Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA," Energy Policy, Elsevier, vol. 39(5), pages 2352-2360, May.
    46. Ang, B.W. & Choong, W.L. & Ng, T.S., 2015. "Energy security: Definitions, dimensions and indexes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1077-1093.
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    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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