Mapping China's photovoltaic power geographies: Spatial-temporal evolution, provincial competition and low-carbon transition
文献类型:期刊论文
作者 | Liao, Maolin1,2; Zhang, Ze1; Jia, Jin3; Xiong, Jiao4,5,6; Han, Mengyao4,5,6 |
刊名 | RENEWABLE ENERGY |
出版日期 | 2022-05-01 |
卷号 | 191页码:251-260 |
ISSN号 | 0960-1481 |
关键词 | Photovoltaic power Renewable energy Spatial-temporal distribution Low-carbon transition |
DOI | 10.1016/j.renene.2022.03.068 |
通讯作者 | Han, Mengyao(hanmy@igsnrr.ac.cn) |
英文摘要 | As the climate change effects of traditional energy consumption are more pronounced, renewable energy has become increasingly essential in meeting electricity demands and mitigating carbon emissions. Based on the spatial autocorrelation analysis and carbon emission avoided analysis, this study depicts the photovoltaic power geographies, analyzes the spatial-temporal characteristics, and measures the carbon emission reduction potentials of China's photovoltaic power installation by province. Five stages of the photovoltaic power installation including Full operation, Partial operation, Announced construction, Permitted construction, and Under construction are classified. Overall, the provinces with higher installed capacities and emission reduction potentials are mainly distributed in the North and Northwest China, including Inner Mongolia, Qinghai, Ningxia, and Hebei. From the spatial autocorrelation analysis, Inner Mongolia, Shaanxi, and Shanxi belong to the high-high cluster, while most provinces in South China are among the low-low cluster. In terms of cumulative carbon emission reduction, Inner Mongolia, Gansu, Qinghai, Ningxia, Shaanxi, and Xinjiang are main contributors. By comparing the spatial and temporal evolution, geographical characteristics, and low-carbon reduction of photovoltaic power installation in China's provinces and regions, this study provides quantitative supports and feasible suggestions for the achievement of low-carbon targets and sustainable development of China's photovoltaic industry. (C) 2022 Elsevier Ltd. All rights reserved. |
WOS关键词 | AUTOCORRELATION ANALYSIS ; POVERTY ALLEVIATION ; ENERGY ; GROWTH |
资助项目 | National Natural Science Foundation of China[72173133] ; National Natural Science Foundation of China[41701135] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20010102] |
WOS研究方向 | Science & Technology - Other Topics ; Energy & Fuels |
语种 | 英语 |
出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
WOS记录号 | WOS:000890328500002 |
资助机构 | National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/187762] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Han, Mengyao |
作者单位 | 1.Univ Chinese Acad Social Sci, Sch Appl Econ, Beijing 102488, Peoples R China 2.Chinese Acad Social Sci, Res Inst Ecocivilizat, Beijing 100005, Peoples R China 3.Southwestern Univ Finance & Econ, West Ctr Econ Res, Chengdu 611130, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 5.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 6.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Liao, Maolin,Zhang, Ze,Jia, Jin,et al. Mapping China's photovoltaic power geographies: Spatial-temporal evolution, provincial competition and low-carbon transition[J]. RENEWABLE ENERGY,2022,191:251-260. |
APA | Liao, Maolin,Zhang, Ze,Jia, Jin,Xiong, Jiao,&Han, Mengyao.(2022).Mapping China's photovoltaic power geographies: Spatial-temporal evolution, provincial competition and low-carbon transition.RENEWABLE ENERGY,191,251-260. |
MLA | Liao, Maolin,et al."Mapping China's photovoltaic power geographies: Spatial-temporal evolution, provincial competition and low-carbon transition".RENEWABLE ENERGY 191(2022):251-260. |
入库方式: OAI收割
来源:地理科学与资源研究所
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