期刊
ENERGY ECONOMICS
卷 70, 期 -, 页码 116-131出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.eneco.2018.01.001
关键词
New energy industry; Driving forces; Nonparametric additive regression models
类别
资金
- Xiamen University - Newcastle University Joint Strategic Partnership Fund
- Grant for Collaborative Innovation Center for Energy Economics and Energy Policy [1260-Z0210011]
- Xiamen University Flourish Plan Special Funding [1260-Y07200]
- National Social Science Foundation of China [17AZD013]
- National Natural Science Foundation of China [71463020, 61263014]
- Science and Technology Foundation of Department of Education in Jiangxi Province [GJJ160441]
- Humanities and Social Sciences Foundation of Department of Education in Jiangxi Province [TJ161001]
- Jiangxi Natural Science Foundation of Jiangxi Province [20171BAA208017]
As the world's largest carbon dioxide (CO2) emitter, China is facing increasing international pressure to reduce emissions. Actively developing new energy has become a fundamental means to solve the dilemma between environmental pollution and energy consumption growth. Thus, more scholars have conducted a wide range of studies on the new energy industry. However, most of the existing studies use traditional linear models to investigate the relationships between new energy industry and its driving forces, ignoring the objective reality that there are many nonlinear relationships in economic variables. In order to overcome the shortcomings of existing research, this paper uses a data-driven nonparametric additive regression model to study the new energy industry. The results show that the nonlinear effect of agricultural development shows an inverted U-shaped pattern due to the changes in crop acreage at different stages of development. The nonlinear impact of foreign energy dependence also indicates an inverted U-shaped pattern. However, technological progress produces a positive U-shaped nonlinear impact on the new energy industry because of the difference in R&D funding and R&D personnel investments. Similarly, the impact of energy consumption structure also shows a positive U-shaped pattern, owing to the gradual decline in coal consumption. Therefore, the government should develop differentiated policies at different stages, in order to effectively promote the development of new energy industries. (C) 2018 Elsevier B.V. All rights reserved.
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