Developing a model between trade openness and economic recovery: Panel data analysis for Chinese pilot-regions

Lin Li, Hanye Jiang, Meishan Liu and Qihan Wu

Renewable Energy, 2023, vol. 217, issue C

Abstract: Understanding trade liberalization's influence on economic recovery is paramount in formulating efficacious policy measures, particularly within renewable energy advancement. This study utilizes panel data analysis to examine the correlation between trade liberalization and economic revitalization in the pilot regions of China, with a particular emphasis on the renewable energy sector. This study incorporates data collected from 30 provinces in China, covering the period from 1990 to 2019. This study examines the impact of trade openness on the economic recovery and growth of China's experimental zones, with a specific focus on the renewable energy sector. To achieve this objective, panel data approaches will be employed. The results of this research offer significant contributions for policymakers and academics interested in designing customized strategies to promote economic growth and stability, specifically focusing on the renewable energy sector in China's regions.

Keywords: Trade openness; Economic recovery; Renewable energy; Chinese provinces (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:217:y:2023:i:c:s0960148123010467

DOI: 10.1016/j.renene.2023.119132

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