Mapping potentials and bridging regional gaps of renewable resources in China

Chengdong Wang, Yutao Wang, Xin Tong, Sergio Ulgiati, Sai Liang, Ming Xu, Wendong Wei, Xiao Li, Mingzhou Jin and Jiafu Mao

Renewable and Sustainable Energy Reviews, 2020, vol. 134, issue C

Abstract: Reasonable and effective use of renewable resources can reduce dependence on traditional fossil-based energy sources and reduce carbon emissions. This study mapped the spatial potentials of renewable resources (i.e., solar radiation, precipitation, wind, and geothermal resources) in China. The results showed that China's most abundant renewable resources are located in the southwestern regions, which are significantly different from the spatial distribution patterns of population and economic development. Four southwestern provinces (Tibet, Qinghai, Sichuan, and Yunnan) make up only 7% of the national gross domestic product (GDP) and 30% of the national land area but possess 58% of the renewable resources. We found a weak to moderate degree of negative correlation between the emergy density of renewable resources and GDP per capita on the administrative levels of the prefecture-level cities for the whole country and in its eastern, central, and western regions. This means that the socioeconomically underdeveloped Midwest has more abundant renewable resources. A distributed energy-economic system may help to bridge the regional gaps of renewable sources in China. These findings can support policy decisions for the better development and use of renewable resources in China.

Keywords: Renewable resource; Emergy analysis; Spatial distribution; Distributed energy-economic system; Climate change; Greenhouse gas; Sustainable development (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (11)

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DOI: 10.1016/j.rser.2020.110337

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