Abstract
The problem of unbalanced energy development in China still exists. How to adjust the energy structure is the key to high-quality economic development in China. This paper analyses the impact of regional energy development levels on high-quality economic development in China from 2016 to 2017, with the global ML methodology and structural equation model. Firstly, from two aspects of environmental and technological factors, the Global Malmquist-Luenberger (GML) production function is used to measure the environmental endowment index of regional energy development in China. Secondly, the evaluation system of China’s energy development is established. The structural equation model is used to measure and evaluate the degree of China’s regional energy development. Combined with the environmental endowment index of regional energy development, the gap between the proportion of regional renewable energy and the optimal energy structure is analyzed. Thirdly, this paper explores the supporting effect of different energy development levels on high-quality economic development. It is concluded that the environmental endowment index of energy development varies among different regions in China, most of which are still underdeveloped, but a few of which have redundant technical elements of renewable energy development. China’s regional energy development model is still dominated by fossil fuel energy, and the proportion of renewable energy driving economic growth is relatively low. Renewable energy can effectively replace the use of fossil fuel energy and have a higher impact on high-quality economic development. Finally, on the basis of the above study, the paper puts forward policy suggestions for Chinese governments to adjust energy structure and promote high-quality economic development.
Highlights
Energy is considered as the cornerstone of national security and the foundation of national economy
The evaluation system of regional energy development level includes three aspects: renewable energy, non-renewable energy, and economic development (Wang, 2008); the structural equation model is selected as a quantitative analysis method, because it contains both explicit and latent variables, which can more comprehensively analyze the influence path and effect between variables
This conforms to the assumption of structural equation model (1), which is to say that non-renewable energy development is one of the influencing factors of regional economic growth
Summary
Energy is considered as the cornerstone of national security and the foundation of national economy. How to adjust the regional energy development mode, so as to improve the utilization of renewable energy and to promote economic growth steadily, is the key to China’s high-quality development in the new era. In the existing papers on the impact of China’s regional energy development level on high-quality economic development, there are two main problems: Firstly, based on the static theory, the weight of renewable energy and non-renewable energy is the same, and the environmental compensation benefits of renewable energy are ignored (Hacıimamovglu and Sandalcılar, 2020). In order to solve the above problems, firstly, from two aspects of environmental and technological factors, the Global Malmquist-Luenberger (GML) production function is used to measure the environmental endowment index of regional energy development in China. This study has important implications for China’s energy structure transformation, renewable energy utilization, and high-quality economic development in the new era
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