The measurement of green finance index and the development forecast of green finance in China
This paper proposes a green finance index that may help policymakers and investors take more favorable actions based on the development of green finance. After analysis and organization of the development process of green finance and related green finance and index concepts, this paper uses the impr...
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| Veröffentlicht in: | Environmental and ecological statistics 2021-06, Vol.28 (2), p.263-285 |
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| creator | Wang, Xingyuan Zhao, Hongkai Bi, Kexin |
| description | This paper proposes a green finance index that may help policymakers and investors take more favorable actions based on the development of green finance. After analysis and organization of the development process of green finance and related green finance and index concepts, this paper uses the improved fuzzy comprehensive evaluation method to construct a measurement model suitable for measuring the development level of green finance based on the principle of fuzzy mathematics. The index weight adopts the entropy method and improved Analytic Hierarchy Process (AHP) joint determination. At the same time, using the relevant statistical indicators of China's green credit from 2011 to 2019, and using the constructed model, the level of China's green finance development during this period was evaluated. Finally, the obtained data and classical gray model methods were used to predict China's green development level from 2020 to 2024. The research results show that: This model is a good measure of the level of development of green finance, and China's green finance index has generally shown a rapid growth trend over the past nine years, with the fastest growth rate between 2013 and 2014. From the perspective of the weight of each index affecting the green financial index, the weight of new energy, green transportation projects and new energy vehicles ranked in the top three, and the impact of these three indexes on China's green financial index is significant. In the future, China's green financial development level will continue to improve. |
| doi_str_mv | 10.1007/s10651-021-00483-7 |
| format | Article |
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After analysis and organization of the development process of green finance and related green finance and index concepts, this paper uses the improved fuzzy comprehensive evaluation method to construct a measurement model suitable for measuring the development level of green finance based on the principle of fuzzy mathematics. The index weight adopts the entropy method and improved Analytic Hierarchy Process (AHP) joint determination. At the same time, using the relevant statistical indicators of China's green credit from 2011 to 2019, and using the constructed model, the level of China's green finance development during this period was evaluated. Finally, the obtained data and classical gray model methods were used to predict China's green development level from 2020 to 2024. The research results show that: This model is a good measure of the level of development of green finance, and China's green finance index has generally shown a rapid growth trend over the past nine years, with the fastest growth rate between 2013 and 2014. From the perspective of the weight of each index affecting the green financial index, the weight of new energy, green transportation projects and new energy vehicles ranked in the top three, and the impact of these three indexes on China's green financial index is significant. In the future, China's green financial development level will continue to improve.</description><identifier>ISSN: 1352-8505</identifier><identifier>EISSN: 1573-3009</identifier><identifier>DOI: 10.1007/s10651-021-00483-7</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Analytic hierarchy process ; Biomedical and Life Sciences ; Chemistry and Earth Sciences ; Clean energy ; Computer Science ; Ecology ; Entropy ; Environmental protection ; Evaluation ; Finance ; Green development ; Growth rate ; Health Sciences ; International finance ; Life Sciences ; Literature reviews ; Math. 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After analysis and organization of the development process of green finance and related green finance and index concepts, this paper uses the improved fuzzy comprehensive evaluation method to construct a measurement model suitable for measuring the development level of green finance based on the principle of fuzzy mathematics. The index weight adopts the entropy method and improved Analytic Hierarchy Process (AHP) joint determination. At the same time, using the relevant statistical indicators of China's green credit from 2011 to 2019, and using the constructed model, the level of China's green finance development during this period was evaluated. Finally, the obtained data and classical gray model methods were used to predict China's green development level from 2020 to 2024. The research results show that: This model is a good measure of the level of development of green finance, and China's green finance index has generally shown a rapid growth trend over the past nine years, with the fastest growth rate between 2013 and 2014. From the perspective of the weight of each index affecting the green financial index, the weight of new energy, green transportation projects and new energy vehicles ranked in the top three, and the impact of these three indexes on China's green financial index is significant. In the future, China's green financial development level will continue to improve.</description><subject>Analytic hierarchy process</subject><subject>Biomedical and Life Sciences</subject><subject>Chemistry and Earth Sciences</subject><subject>Clean energy</subject><subject>Computer Science</subject><subject>Ecology</subject><subject>Entropy</subject><subject>Environmental protection</subject><subject>Evaluation</subject><subject>Finance</subject><subject>Green development</subject><subject>Growth rate</subject><subject>Health Sciences</subject><subject>International finance</subject><subject>Life Sciences</subject><subject>Literature reviews</subject><subject>Math. 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After analysis and organization of the development process of green finance and related green finance and index concepts, this paper uses the improved fuzzy comprehensive evaluation method to construct a measurement model suitable for measuring the development level of green finance based on the principle of fuzzy mathematics. The index weight adopts the entropy method and improved Analytic Hierarchy Process (AHP) joint determination. At the same time, using the relevant statistical indicators of China's green credit from 2011 to 2019, and using the constructed model, the level of China's green finance development during this period was evaluated. Finally, the obtained data and classical gray model methods were used to predict China's green development level from 2020 to 2024. The research results show that: This model is a good measure of the level of development of green finance, and China's green finance index has generally shown a rapid growth trend over the past nine years, with the fastest growth rate between 2013 and 2014. From the perspective of the weight of each index affecting the green financial index, the weight of new energy, green transportation projects and new energy vehicles ranked in the top three, and the impact of these three indexes on China's green financial index is significant. In the future, China's green financial development level will continue to improve.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s10651-021-00483-7</doi><tpages>23</tpages><orcidid>https://orcid.org/0000-0002-4720-8349</orcidid></addata></record> |
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| subjects | Analytic hierarchy process Biomedical and Life Sciences Chemistry and Earth Sciences Clean energy Computer Science Ecology Entropy Environmental protection Evaluation Finance Green development Growth rate Health Sciences International finance Life Sciences Literature reviews Math. Appl. in Environmental Science Mathematics Measurement Medicine Physics Securities markets Statistical analysis Statistics for Engineering Statistics for Life Sciences Stock exchanges Sustainable development Sustainable transportation Theoretical Ecology/Statistics Weight |
| title | The measurement of green finance index and the development forecast of green finance in China |
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