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Growth Sources of Green Economy and Energy Consumption in China: New Evidence Accounting for Heterogeneous Regimes

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  • Guanchun Liu
  • Yuanyuan Liu
  • Chien-Chiang Lee

Abstract

This paper proposes an extended Solow decomposition framework with a finite mixture model, which is incorporated to account for heterogeneous regimes. The model decomposes green economy into two different components, namely, green total factor productivity and factor endowment. Then, we reestimate the growth sources of green economy and especially the importance of energy consumption in China’s provincial industries over 2000-2015. The empirical results suggest that there are three green growth regimes across Chinese provinces for overall economy and different industries. Specifically, some provinces switch regime over time, while the others maintain the same regime. Furthermore, when controlling for regime heterogeneity, the contribution of factor endowment decreases and that of green total factor productivity increases. With respect to energy consumption, traditional methods overestimate its importance in the primary and tertiary industries and underestimate that in the secondary industry. In addition, the reliance of China’s overall economy and the secondary and tertiary industries on energy consumption decreases as economy develops.

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  • Guanchun Liu & Yuanyuan Liu & Chien-Chiang Lee, 2020. "Growth Sources of Green Economy and Energy Consumption in China: New Evidence Accounting for Heterogeneous Regimes," The Energy Journal, , vol. 41(6), pages 33-64, November.
  • Handle: RePEc:sae:enejou:v:41:y:2020:i:6:p:33-64
    DOI: 10.5547/01956574.41.6.gliu
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    Cited by:

    1. Lv, Chengchao & Bian, Baocheng & Lee, Chien-Chiang & He, Zhiwen, 2021. "Regional gap and the trend of green finance development in China," Energy Economics, Elsevier, vol. 102(C).
    2. Tang, Chang & Xu, Yuanyuan & Hao, Yu & Wu, Haitao & Xue, Yan, 2021. "What is the role of telecommunications infrastructure construction in green technology innovation? A firm-level analysis for China," Energy Economics, Elsevier, vol. 103(C).
    3. Wang, En-Ze & Lee, Chien-Chiang, 2022. "The impact of clean energy consumption on economic growth in China: Is environmental regulation a curse or a blessing?," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 39-58.
    4. Yuan, Huaxi & Feng, Yidai & Lee, Chien-Chiang & Cen, Yan, 2020. "How does manufacturing agglomeration affect green economic efficiency?," Energy Economics, Elsevier, vol. 92(C).
    5. Chen, Yang & Cheng, Liang & Lee, Chien-Chiang & Wang, Chang-song, 2021. "The impact of regional banks on environmental pollution: Evidence from China's city commercial banks," Energy Economics, Elsevier, vol. 102(C).
    6. Boyang Chen & Canghong Wang, 2024. "RETRACTED ARTICLE: Circular economy and biomass utilization: economic prospect for sustainable energy transition in China," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-27, April.
    7. 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).
    8. Lee, Chi-Chuan & Song, Hepeng & Lee, Chien-Chiang, 2023. "Assessing the effect of green finance on energy inequality in China via household-level analysis," Energy Economics, Elsevier, vol. 128(C).
    9. Lai, Aolin & Li, Zhenran & Hu, Xiurong & Wang, Qunwei, 2024. "Does digital economy improve city-level eco-efficiency in China?," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1198-1213.
    10. 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).
    11. Wang, En-Ze & Yang, Mian, 2022. "Green complexity and CO2 emission: Does institutional quality matter?," Energy Economics, Elsevier, vol. 110(C).
    12. Lee, Chien-Chiang & Wang, Chang-song, 2022. "Financial development, technological innovation and energy security: Evidence from Chinese provincial experience," Energy Economics, Elsevier, vol. 112(C).
    13. Kaifeng Li & Yun Chen & Jingren Chen, 2023. "How to Improve Industrial Green Total Factor Productivity under Dual Carbon Goals? Evidence from China," Sustainability, MDPI, vol. 15(11), pages 1-13, June.
    14. 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).
    15. Lee, Chien-Chiang & Zhao, Ya-Nan, 2023. "Heterogeneity analysis of factors influencing CO2 emissions: The role of human capital, urbanization, and FDI," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    16. Tao, Chang-Qi & Yi, Meng-Ying & Wang, Chang-Song, 2023. "Coupling coordination analysis and Spatiotemporal heterogeneity between data elements and green development in China," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 1-15.
    17. Xu, Le & Yang, Lili & Li, Ding & Shao, Shuai, 2023. "Asymmetric effects of heterogeneous environmental standards on green technology innovation: Evidence from China," Energy Economics, Elsevier, vol. 117(C).

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    More about this item

    Keywords

    Energy consumption; Growth sources; Green economy; Heterogeneous regimes; Finite mixture model; China;
    All these keywords.

    JEL classification:

    • F0 - International Economics - - General

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