Fuzzy Set Qualitative Comparative Analysis (fsQCA) Applied to the Driving Mechanism of Total Factor Productivity Growth
With the gradual improvement of fuzzy set qualitative comparative analysis (fsQCA), it is introduced into more and more fields to analyze practical problems. This paper calculates the total factor productivity index and analyzes its development trend based on relevant economic development theories a...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2021/8182454 |
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| _version_ | 1832550477434191872 |
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| author | Qibo Diao Yuanchun Liu |
| author_facet | Qibo Diao Yuanchun Liu |
| author_sort | Qibo Diao |
| collection | DOAJ |
| description | With the gradual improvement of fuzzy set qualitative comparative analysis (fsQCA), it is introduced into more and more fields to analyze practical problems. This paper calculates the total factor productivity index and analyzes its development trend based on relevant economic development theories and China’s inter-provincial panel data from 1999 to 2019. We use the fsQCA method to study the interaction of factors influencing total productivity in various regions. Two specific paths to improve total factor productivity are obtained, which provide a reference for different areas to improve total factor productivity according to local conditions. |
| format | Article |
| id | doaj-art-3682baac972f4130906271b0c3c03914 |
| institution | Kabale University |
| issn | 2314-4785 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Mathematics |
| spelling | doaj-art-3682baac972f4130906271b0c3c039142025-02-03T06:06:33ZengWileyJournal of Mathematics2314-47852021-01-01202110.1155/2021/8182454Fuzzy Set Qualitative Comparative Analysis (fsQCA) Applied to the Driving Mechanism of Total Factor Productivity GrowthQibo Diao0Yuanchun Liu1School of Finance and MathematicsFinance DepartmentWith the gradual improvement of fuzzy set qualitative comparative analysis (fsQCA), it is introduced into more and more fields to analyze practical problems. This paper calculates the total factor productivity index and analyzes its development trend based on relevant economic development theories and China’s inter-provincial panel data from 1999 to 2019. We use the fsQCA method to study the interaction of factors influencing total productivity in various regions. Two specific paths to improve total factor productivity are obtained, which provide a reference for different areas to improve total factor productivity according to local conditions.http://dx.doi.org/10.1155/2021/8182454 |
| spellingShingle | Qibo Diao Yuanchun Liu Fuzzy Set Qualitative Comparative Analysis (fsQCA) Applied to the Driving Mechanism of Total Factor Productivity Growth Journal of Mathematics |
| title | Fuzzy Set Qualitative Comparative Analysis (fsQCA) Applied to the Driving Mechanism of Total Factor Productivity Growth |
| title_full | Fuzzy Set Qualitative Comparative Analysis (fsQCA) Applied to the Driving Mechanism of Total Factor Productivity Growth |
| title_fullStr | Fuzzy Set Qualitative Comparative Analysis (fsQCA) Applied to the Driving Mechanism of Total Factor Productivity Growth |
| title_full_unstemmed | Fuzzy Set Qualitative Comparative Analysis (fsQCA) Applied to the Driving Mechanism of Total Factor Productivity Growth |
| title_short | Fuzzy Set Qualitative Comparative Analysis (fsQCA) Applied to the Driving Mechanism of Total Factor Productivity Growth |
| title_sort | fuzzy set qualitative comparative analysis fsqca applied to the driving mechanism of total factor productivity growth |
| url | http://dx.doi.org/10.1155/2021/8182454 |
| work_keys_str_mv | AT qibodiao fuzzysetqualitativecomparativeanalysisfsqcaappliedtothedrivingmechanismoftotalfactorproductivitygrowth AT yuanchunliu fuzzysetqualitativecomparativeanalysisfsqcaappliedtothedrivingmechanismoftotalfactorproductivitygrowth |