Analysis on Regional Characteristics of Economic Growth Based on Total Factor Productivity
In this paper, we adopt stochastic frontier model of translog production function to measure the total factor productivity growth rate of 13 cities in Jiangsu province from the year 2000 to 2020 and study the characteristics of the contribution rates of capital, labor, and total factor productivity...
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Published in | Discrete dynamics in nature and society Vol. 2022; no. 1 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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New York
Hindawi
2022
John Wiley & Sons, Inc Wiley |
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Abstract | In this paper, we adopt stochastic frontier model of translog production function to measure the total factor productivity growth rate of 13 cities in Jiangsu province from the year 2000 to 2020 and study the characteristics of the contribution rates of capital, labor, and total factor productivity in driving economic growth. The study shows that, firstly, the explanatory power of the model could be increased by 35.9% after 6 effect variables, such as urban economic development level, have been taken into consideration when two-step method has been adopted to explore the model parameters of stochastic frontier; secondly, there is an obviously positive correlation between the 4 variables, urban economic development level, urban size, level of opening up to the outside world and infrastructure construction, and production efficiency, while there is a negative correlation between economic structure and production efficiency, and the research input intensity has an uncertain effect on production efficiency; thirdly, the TFP growth trend of urban economy of the province shows a similar “W” trend, technical progress becomes the first element in affecting total factor productivity, and the negative growth in technical efficiency and scale efficiency result in a dramatic decline in growth rate of TFP; fourthly, among all the elements contributing to urban economic growth, capital has the greatest contribution, TFP takes the second place, and labor element takes the last. The double difference between capital and TFP appears to be the major cause in forming regional difference of urban economy. The regional differences of TFP concerning infrastructure advantage, position advantage, factor advantage, and policy advantage are the key factors in urban economic gap. At the end of this study, we propose some policy suggestions. |
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AbstractList | In this paper, we adopt stochastic frontier model of translog production function to measure the total factor productivity growth rate of 13 cities in Jiangsu province from the year 2000 to 2020 and study the characteristics of the contribution rates of capital, labor, and total factor productivity in driving economic growth. The study shows that, firstly, the explanatory power of the model could be increased by 35.9% after 6 effect variables, such as urban economic development level, have been taken into consideration when two-step method has been adopted to explore the model parameters of stochastic frontier; secondly, there is an obviously positive correlation between the 4 variables, urban economic development level, urban size, level of opening up to the outside world and infrastructure construction, and production efficiency, while there is a negative correlation between economic structure and production efficiency, and the research input intensity has an uncertain effect on production efficiency; thirdly, the TFP growth trend of urban economy of the province shows a similar “W” trend, technical progress becomes the first element in affecting total factor productivity, and the negative growth in technical efficiency and scale efficiency result in a dramatic decline in growth rate of TFP; fourthly, among all the elements contributing to urban economic growth, capital has the greatest contribution, TFP takes the second place, and labor element takes the last. The double difference between capital and TFP appears to be the major cause in forming regional difference of urban economy. The regional differences of TFP concerning infrastructure advantage, position advantage, factor advantage, and policy advantage are the key factors in urban economic gap. At the end of this study, we propose some policy suggestions. |
Audience | Academic |
Author | Tang, Deshan Ma, Weidong Wu, Cheng Chung |
Author_xml | – sequence: 1 givenname: Weidong orcidid: 0000-0002-6027-9133 surname: Ma fullname: Ma, Weidong organization: Business School of Suqian UniversitySuqianJiangsu 223800China – sequence: 2 givenname: Cheng Chung orcidid: 0000-0002-8677-5530 surname: Wu fullname: Wu, Cheng Chung organization: Modern Finance School of Jiaxing Nanhu UniversityJiaxingZhejiang 314001China – sequence: 3 givenname: Deshan orcidid: 0000-0002-5466-1539 surname: Tang fullname: Tang, Deshan organization: Business School of Hohai UniversityNanjingJiangsu 210039China |
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Cites_doi | 10.1016/j.strueco.2021.09.018 10.2307/2343100 10.1007/bf01205442 10.1177/0972150917713508 10.2307/20046929 10.1108/ijppm-11-2015-0171 10.1016/j.red.2015.02.005 10.1108/ijppm-10-2018-0367 10.1016/j.tourman.2017.09.004 10.1016/j.worlddev.2017.07.004 10.1079/9781845939212.0001 10.1108/ijppm-10-2017-0265 10.18805/ijare.a-4950 10.1007/bf00158774 10.1080/17938120.2021.1987147 10.2307/1926047 10.1108/IJPPM-01-2019-0036 10.1016/j.econlet.2010.08.019 10.1016/j.jenvman.2021.112666 10.1086/344158 10.17582/journal.sja/2021/37.4.1298.1305 |
ContentType | Journal Article |
Copyright | Copyright © 2022 Weidong Ma et al. COPYRIGHT 2022 John Wiley & Sons, Inc. Copyright © 2022 Weidong Ma et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
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Title | Analysis on Regional Characteristics of Economic Growth Based on Total Factor Productivity |
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