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Transformational insurance and green credit incentive policies as financial mechanisms for green energy transitions and low-carbon economic development

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  • Liu, Haiying
  • Liu, Zexiao
  • Zhang, Chunhong
  • Li, Tianyu

Abstract

This study examines the critical role of green technology innovation in facilitating green and low-carbon economic development. It underscores the necessity of financial backing via green finance policies to address financing and risk challenges associated with such an energy transition. A dynamic stochastic general equilibrium (DSGE) model, inclusive of the banking and insurance sectors, is constructed to proffer transformational insurance and green credit services to energy producers. Key findings include a decrease in deductibles, improved insurance coverage, enhanced green output, and an advancement of green and low-carbon economic growth. Transformational insurance is found to temper the negative impacts of unexpected risk shocks on overall output and employment. Moreover, green credit incentives not only curb carbon emissions but also heighten the likelihood of energy transition among producers, thereby fostering low-carbon economy growth. The combined application of transformational insurance and green credit incentive policy proves more effective in propelling energy transition and green economic growth than the deployment of either policy in isolation. The research concludes with a call for the government to strike a balance in carbon emission reduction efforts to avoid decelerating the overall output and consumption growth rates, thereby ensuring the sustainability of green and low-carbon economic development.

Suggested Citation

  • Liu, Haiying & Liu, Zexiao & Zhang, Chunhong & Li, Tianyu, 2023. "Transformational insurance and green credit incentive policies as financial mechanisms for green energy transitions and low-carbon economic development," Energy Economics, Elsevier, vol. 126(C).
  • Handle: RePEc:eee:eneeco:v:126:y:2023:i:c:s0140988323005145
    DOI: 10.1016/j.eneco.2023.107016
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    Cited by:

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    2. Song, Malin & Pan, Heting & Shen, Zhiyang & Tamayo-Verleene, Kristine, 2024. "Assessing the influence of artificial intelligence on the energy efficiency for sustainable ecological products value," Energy Economics, Elsevier, vol. 131(C).
    3. Chen, Hongbo & Wu, Hao & Zhang, Lianjun & Tang, Yao & Lu, Shibao, 2024. "Does green financial policy promote the transformation of resource-exhausted cities? - Evidence from the micro level," Resources Policy, Elsevier, vol. 88(C).
    4. Boqiang Lin & Chongchong Xu, 2024. "RETRACTED ARTICLE: Evaluating the effect of green fiscal policy on firm energy performance: evidence from China," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-29, April.
    5. Mao, Hui & Shi, Chaoqian & Tang, Heyan & Lu, Yufeng, 2024. "Time preferences and energy consumption of rural household in China," Energy Economics, Elsevier, vol. 132(C).

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