Sustainable Growth from a Factor Dependence and Technological Progress Perspective: A Case Study of East China

The paper constructs an economic growth model that contains human, physical capital, innovation, and energy factors and estimates the output elasticity of seven provinces and cities in East China in the period of 2004–2018. Having calculated the contribution rate of these different factors to econom...

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Main Authors: Ying Liu, Wan-Ming Chen, Sheng-Yuan Wang, Xiao-Lan Wu
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2021/8739442
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spelling doaj-ad71d429573e4d87a6729eb02dd447692021-09-13T01:23:55ZengHindawi LimitedDiscrete Dynamics in Nature and Society1607-887X2021-01-01202110.1155/2021/8739442Sustainable Growth from a Factor Dependence and Technological Progress Perspective: A Case Study of East ChinaYing Liu0Wan-Ming Chen1Sheng-Yuan Wang2Xiao-Lan Wu3Nanjing Xiaozhuang UniversityNanjing University of Aeronautics and AstronauticsNanjing Xiaozhuang UniversityNanjing Xiaozhuang UniversityThe paper constructs an economic growth model that contains human, physical capital, innovation, and energy factors and estimates the output elasticity of seven provinces and cities in East China in the period of 2004–2018. Having calculated the contribution rate of these different factors to economic growth, the paper finds that factors of production have a different elasticity that impacts the growth of different regions and industries and notes that energy and physical capital are the most significant factors for the growth of primary and secondary industries. This highlights that industrial growth has not freed from the path dependence of extensive input, and the authors cite Shanghai and Jiangsu as typical regions in this regard. The former’s growth largely depends on physical capital and energy, and the latter’s growth depends on the input of diverse elements including innovation. The latter is better suited to the needs of the “new normal” economic growth. The authors construct a simulation model of economic growth based on system dynamics, and system simulation results show that energy and material capital investment not only have the most significant effect on economic growth in East China but also provide clear evidence of extensive economic growth. The paper then demonstrates that increasing the optimal allocation of input factors and the rational flow between regions is conducive to improving output efficiency and provides the results of the Malmquist index calculation: on the whole, there is no obvious technological progress in East China. Shanghai, Jiangsu, and Zhejiang are, however, provincial-level regions of this part of the country which demonstrate significant technological progress in East China. In conclusion, the paper suggests that this region of China will be unable to maintain its current level of economic growth because of the combined influence of factor input constraints and insufficient technological progress.http://dx.doi.org/10.1155/2021/8739442
collection DOAJ
language English
format Article
sources DOAJ
author Ying Liu
Wan-Ming Chen
Sheng-Yuan Wang
Xiao-Lan Wu
spellingShingle Ying Liu
Wan-Ming Chen
Sheng-Yuan Wang
Xiao-Lan Wu
Sustainable Growth from a Factor Dependence and Technological Progress Perspective: A Case Study of East China
Discrete Dynamics in Nature and Society
author_facet Ying Liu
Wan-Ming Chen
Sheng-Yuan Wang
Xiao-Lan Wu
author_sort Ying Liu
title Sustainable Growth from a Factor Dependence and Technological Progress Perspective: A Case Study of East China
title_short Sustainable Growth from a Factor Dependence and Technological Progress Perspective: A Case Study of East China
title_full Sustainable Growth from a Factor Dependence and Technological Progress Perspective: A Case Study of East China
title_fullStr Sustainable Growth from a Factor Dependence and Technological Progress Perspective: A Case Study of East China
title_full_unstemmed Sustainable Growth from a Factor Dependence and Technological Progress Perspective: A Case Study of East China
title_sort sustainable growth from a factor dependence and technological progress perspective: a case study of east china
publisher Hindawi Limited
series Discrete Dynamics in Nature and Society
issn 1607-887X
publishDate 2021-01-01
description The paper constructs an economic growth model that contains human, physical capital, innovation, and energy factors and estimates the output elasticity of seven provinces and cities in East China in the period of 2004–2018. Having calculated the contribution rate of these different factors to economic growth, the paper finds that factors of production have a different elasticity that impacts the growth of different regions and industries and notes that energy and physical capital are the most significant factors for the growth of primary and secondary industries. This highlights that industrial growth has not freed from the path dependence of extensive input, and the authors cite Shanghai and Jiangsu as typical regions in this regard. The former’s growth largely depends on physical capital and energy, and the latter’s growth depends on the input of diverse elements including innovation. The latter is better suited to the needs of the “new normal” economic growth. The authors construct a simulation model of economic growth based on system dynamics, and system simulation results show that energy and material capital investment not only have the most significant effect on economic growth in East China but also provide clear evidence of extensive economic growth. The paper then demonstrates that increasing the optimal allocation of input factors and the rational flow between regions is conducive to improving output efficiency and provides the results of the Malmquist index calculation: on the whole, there is no obvious technological progress in East China. Shanghai, Jiangsu, and Zhejiang are, however, provincial-level regions of this part of the country which demonstrate significant technological progress in East China. In conclusion, the paper suggests that this region of China will be unable to maintain its current level of economic growth because of the combined influence of factor input constraints and insufficient technological progress.
url http://dx.doi.org/10.1155/2021/8739442
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