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DOI | 10.1016/j.renene.2019.02.063 |
A study on the spatial distribution of the renewable energy industries in China and their driving factors | |
Wang, Qiang1,2,3; Kwan, Mei-Po4,5; Fan, Jie6,7; Zhou, Kan6,7; Wang, Ya-Fei6,7 | |
发表日期 | 2019 |
ISSN | 0960-1481 |
卷号 | 139页码:161-175 |
英文摘要 | Examining the spatial distribution of the renewable energy industries (REls) at the county-level and their driving factors is critical for appropriate future policy-making. However, there have been very few studies on this issue to date in China. From a geographical perspective, this study uses the data of the total number and generating capacity of renewable energy plants at the county-level to investigate the spatial distribution patterns of China's REls, and analyzes their driving factors. The results show that the past decade has witnessed unprecedented development in renewable energy technologies in China, and REls are constantly springing up in the southwestern and northwestern China, exhibiting a "double-core" spatial pattern. Furthermore, this distribution pattern significantly exhibits resource-dependent and policy-led characteristics, namely, environmental conditions, the abundance of renewable resources and supportive policies are the crucial factors in the clustering of the REls in China. In addition, as a powerful stimulus to the development of renewable energy economy, the effect of governmental policy significantly varies among different REls, and a spatial mismatch between the abundance of renewable resources and local governmental development policies is identified, especially for the wind and solar power industries. (C) 2019 Elsevier Ltd. All rights reserved. |
WOS研究方向 | Science & Technology - Other Topics ; Energy & Fuels |
来源期刊 | RENEWABLE ENERGY
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/101559 |
作者单位 | 1.Minist Sci & Technol, State Key Lab Subtrop Mt Ecol, Fuzhou 35007, Fujian, Peoples R China; 2.Fujian Normal Univ, Fuzhou 35007, Fujian, Peoples R China; 3.Fujian Normal Univ, Sch Geog Sci, Fuzhou 35007, Fujian, Peoples R China; 4.Univ Illinois, Dept Geog & Geog Informat Sci, Urbana, IL 61820 USA; 5.Univ Utrecht, Dept Human Geog & Spatial Planning, Utrecht, Netherlands; 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100191, Peoples R China; 7.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Qiang,Kwan, Mei-Po,Fan, Jie,et al. A study on the spatial distribution of the renewable energy industries in China and their driving factors[J],2019,139:161-175. |
APA | Wang, Qiang,Kwan, Mei-Po,Fan, Jie,Zhou, Kan,&Wang, Ya-Fei.(2019).A study on the spatial distribution of the renewable energy industries in China and their driving factors.RENEWABLE ENERGY,139,161-175. |
MLA | Wang, Qiang,et al."A study on the spatial distribution of the renewable energy industries in China and their driving factors".RENEWABLE ENERGY 139(2019):161-175. |
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