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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Autores principales:	Qibo Diao, Yuanchun Liu
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/3682baac972f4130906271b0c3c03914
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id	oai:doaj.org-article:3682baac972f4130906271b0c3c03914
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spelling	oai:doaj.org-article:3682baac972f4130906271b0c3c039142021-11-29T00:55:41ZFuzzy Set Qualitative Comparative Analysis (fsQCA) Applied to the Driving Mechanism of Total Factor Productivity Growth2314-478510.1155/2021/8182454https://doaj.org/article/3682baac972f4130906271b0c3c039142021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/8182454https://doaj.org/toc/2314-4785With 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.Qibo DiaoYuanchun LiuHindawi LimitedarticleMathematicsQA1-939ENJournal of Mathematics, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Mathematics QA1-939
spellingShingle	Mathematics QA1-939 Qibo Diao Yuanchun Liu Fuzzy Set Qualitative Comparative Analysis (fsQCA) Applied to the Driving Mechanism of Total Factor Productivity Growth
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
author	Qibo Diao Yuanchun Liu
author_facet	Qibo Diao Yuanchun Liu
author_sort	Qibo Diao
title	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_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_sort	fuzzy set qualitative comparative analysis (fsqca) applied to the driving mechanism of total factor productivity growth
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/3682baac972f4130906271b0c3c03914
work_keys_str_mv	AT qibodiao fuzzysetqualitativecomparativeanalysisfsqcaappliedtothedrivingmechanismoftotalfactorproductivitygrowth AT yuanchunliu fuzzysetqualitativecomparativeanalysisfsqcaappliedtothedrivingmechanismoftotalfactorproductivitygrowth
_version_	1718407761604116480

Fuzzy Set Qualitative Comparative Analysis (fsQCA) Applied to the Driving Mechanism of Total Factor Productivity Growth

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