Regional suitability analysis of the rural biogas power generation industry:A case of China
Lihui Zhang,
Jianing Wang and
Songrui Li
Renewable Energy, 2022, vol. 194, issue C, 293-306
Abstract:
Biogas power generation has environmental and social benefits; however, its industrialization is lacking in China. Regional suitability for the biogas power generation industry must be assessed to optimize its layout. First, a regional suitability evaluation index system for said industry was constructed, including resource, societal, and economic conditions, and environmental pressures. Next, a multilevel fuzzy comprehensive evaluation method for regional suitability was proposed; 31 provinces (cities) in China were divided into five grades. Finally, according to the matching degree of suitability and development levels, the 31 regions were divided into three categories, while corresponding policy recommendations were proposed. The rank distribution among regions was found to be unbalanced; there were significant differences in the grade evaluation results of each region under the four criteria layers. The eastern region was significantly superior to the western region. Henan and Hebei were the most suitable regions for development, whereas Ningxia, Hainan, Qinghai, and Tibet were not. Moreover, the suitability of the biogas power generation industry in most regions matched the development level, although not in Sichuan or Jiangsu. These results provide a basis for the government to formulate rural biogas power generation policies and promote sustainable development of the industry.
Keywords: Biogas power generation; Group fuzzy analytic hierarchy process; Entropy weight method; Cloud model; Multilevel comprehensive evaluation (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:194:y:2022:i:c:p:293-306
DOI: 10.1016/j.renene.2022.05.073
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