王兵, 吴英东, 刘朋帅, 陈思卿. 可再生能源发展影响因素区域异质性研究基于生产—输送—消费全产业链视角[J]. 北京理工大学学报(社会科学版), 2022, 24(1): 39-50. DOI: 10.15918/j.jbitss1009-3370.2022.5679
    引用本文: 王兵, 吴英东, 刘朋帅, 陈思卿. 可再生能源发展影响因素区域异质性研究基于生产—输送—消费全产业链视角[J]. 北京理工大学学报(社会科学版), 2022, 24(1): 39-50. DOI: 10.15918/j.jbitss1009-3370.2022.5679
    WANG Bing, WU Yingdong, LIU Pengshuai, CHEN Siqing. Regional Heterogeneity Governing Renewable Energy DevelopmentFrom the Perspective of Industrial Chain of Production, Transportation and Consumption[J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 2022, 24(1): 39-50. DOI: 10.15918/j.jbitss1009-3370.2022.5679
    Citation: WANG Bing, WU Yingdong, LIU Pengshuai, CHEN Siqing. Regional Heterogeneity Governing Renewable Energy DevelopmentFrom the Perspective of Industrial Chain of Production, Transportation and Consumption[J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 2022, 24(1): 39-50. DOI: 10.15918/j.jbitss1009-3370.2022.5679

    可再生能源发展影响因素区域异质性研究基于生产—输送—消费全产业链视角

    Regional Heterogeneity Governing Renewable Energy DevelopmentFrom the Perspective of Industrial Chain of Production, Transportation and Consumption

    • 摘要: 发展可再生能源已成为全球应对气候变化、保障能源安全、保护生态环境的重要手段,对其驱动因素区域异质性的研究有利于决策者做出合理判断,从而制定差异化的对策。使用2007—2017年中国30个省、市、自治区的数据,从可再生能源的生产、运输、消费的全产业链及气候因素着手,建立动态面板模型研究可再生能源发展的影响因素,采用差分GMM、系统GMM和偏差校正LSDV方法分别对全国和地区的模型进行估计。结果显示:消纳目标、经济和人口因素、城市化、基础设施建设、文化程度、人均可支配收入、电力调出量及气候因素在全国模型中都表现出对可再生能源发展的促进作用,而化石能源的使用、火电占比、环保支出和电力调入量与可再生能源发展呈负相关。地区模型中,化石能源的使用及气候因素对不同地区的影响不同,对化石能源依赖较高的省份,化石能源的使用会促进当地可再生能源发展;气候因素中降雨量会促进水电大省的发展,而日照时长则阻碍其发展;对于光电大省,日照时长则表现出促进作用。

       

      Abstract: The development of renewable energy has become an important means to deal with climate change, ensure energy security and protect the earth’s environment. The study of its driving factors can help decision-makers to make a reasonable judgment, so as to formulate corresponding policy measures. Based on the data of 30 provinces, cities and autonomous regions in China from 2007 to 2017, this paper established a dynamic panel model to study the influencing factors of renewable energy development from the whole life cycle process of renewable energy production, transportation and consumption, and climate factors. The national and regional models were estimated by using differential GMM, System GMM and LSDVC methods. The results show that: consumption goals, economic and demographic factors, urbanization, infrastructure construction, education level, disposable income per capita, electricity output and climate factors all play a positive role in promoting the development of renewable energy in the national model, while the use of fossil energy, the proportion of thermal power, environmental protection expenditure and the amount of electricity transfer are negatively correlated with the development of renewable energy. In the regional model, the use of fossil energy and climate factors have different impacts on different regions. In provinces with high dependence on fossil energy, the use of fossil energy will promote the development of local renewable energy. Among climate factors, rainfall promotes the development of hydropower provinces, while sunshine duration hinders their development, and sunshine duration promotes the development of photovoltaic provinces.

       

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