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基于巴基斯坦的可再生能源推广使用 Pythagorean 模糊层次分析法对企业家障碍进行分析。

Entrepreneur barrier analysis on renewable energy promotion in the context of Pakistan using Pythagorean fuzzy AHP method.

机构信息

School of Business, Qingdao University, 308 Ning Xia RdShandong province, Qingdao, People's Republic of China, 266071.

School of Economics and Management, Nanjing University of Science and Technology, Nanjing, People's Republic of China, 210094.

出版信息

Environ Sci Pollut Res Int. 2022 Aug;29(36):54756-54768. doi: 10.1007/s11356-022-19680-3. Epub 2022 Mar 19.

Abstract

Ideal energy policies based on the identification of main obstacles might indorse the growth of renewable energy. In light of the importance of promoting entrepreneurship in renewable energy resources, the current study examined the barriers to develop renewable energy entrepreneurship in Pakistan. As a result, the current study proposes a systematic approach for prioritizing hurdles to entrepreneurship based on their relevance. The research was split into two parts. To begin, a literature survey and interviews with experts were used to identify potential obstacles. Second, the Pythagorean fuzzy analytical hierarchical process (PF-AHP) approach was hired to finalize and categorize the challenges. Twelve barriers were finalized, and they were then divided into four categories. Finally, PF-AHP was used to determine barrier weights and ranks. The final results showed that the legal and regulatory framework obstacle category is the most essential among the main categories, while the overall ranking of obstacles revealed that the lack of policy is more vital than the other twelve sub-barriers in various groups.

摘要

基于识别主要障碍的理想能源政策可能会支持可再生能源的发展。鉴于促进可再生能源领域创业的重要性,本研究考察了巴基斯坦发展可再生能源创业的障碍。因此,本研究提出了一种基于相关性对创业障碍进行优先级排序的系统方法。该研究分为两部分。首先,文献综述和专家访谈用于识别潜在障碍。其次,采用 Pythagorean 模糊分析层次过程 (PF-AHP) 方法对障碍进行最终确定和分类。确定了 12 个障碍,然后将其分为四类。最后,使用 PF-AHP 确定障碍权重和排名。最终结果表明,法律和监管框架障碍类别是主要类别中最重要的,而障碍的总体排名表明,在各个群体中,缺乏政策比其他 12 个子障碍更为重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2029/8933858/4b9dd6e86f07/11356_2022_19680_Fig1_HTML.jpg

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