基于非预期超效率模型的沿海城市工商业经济增长要素分析

IF 0.5 Q4 ENGINEERING, MULTIDISCIPLINARY
Huize Chen, Guixian Tian
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引用次数: 0

摘要

为了提高沿海城市工商企业的经济增长效率,实现沿海城市的GDP增长,本文基于意想不到的超效率模型对沿海城市工商企业的经济增长因素进行了研究。本文在对以往经济增长理论研究分析的基础上,找出影响沿海城市工商企业经济增长的主要因素,并运用先进的计量经济学方法建立相关检验模型,分析经济增长因素时间序列与沿海城市时间序列的相关性。从而实现对沿海城市工商企业经济增长要素的研究。实证结果表明,影响沿海城市工商企业经济增长的主要因素是资本和劳动力,以劳动力为主体;技术因素和制度因素对沿海城市工商企业GDP也有贡献,但影响不显著,有待进一步提高。总的来说,这些因素都能促进沿海城市工商企业的经济增长。各因子变量的时间序列和时间序列均为长期协整关系的一阶非平稳序列。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Economic growth factors of industrial and commercial enterprises in coastal cities based on the model of unexpected super efficiency
In order to improve the economic growth efficiency of industrial and commercial enterprises in coastal cities and realize the GDP growth of coastal cities, this paper studies the economic growth factors of industrial and commercial enterprises in coastal cities based on the unexpected super efficiency model. Based on the research and analysis of the previous economic growth theories, this paper finds out the main factors that affect the economic growth of industrial and commercial enterprises in coastal cities, and uses the advanced econometric method to establish the relevant test model to analyze the correlation between the time series of economic growth factors and the time series of coastal cities, so as to realize the economic growth factors of industrial and commercial enterprises in coastal cities Element study. The empirical results show that the main factors affecting the economic growth of industrial and commercial enterprises in coastal cities are capital and labor force, with labor force as the main body; Technical and institutional factors also contribute to the GDP of industrial and commercial enterprises in coastal cities, but the impact is not significant and needs further improvement. In general, these factors can promote the economic growth of industrial and commercial enterprises in coastal cities. The time series and time series of each factor variable are first-order non-stationary series with long-term cointegration relationship.
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
152
期刊介绍: The major goal of the Journal of Computational Methods in Sciences and Engineering (JCMSE) is the publication of new research results on computational methods in sciences and engineering. Common experience had taught us that computational methods originally developed in a given basic science, e.g. physics, can be of paramount importance to other neighboring sciences, e.g. chemistry, as well as to engineering or technology and, in turn, to society as a whole. This undoubtedly beneficial practice of interdisciplinary interactions will be continuously and systematically encouraged by the JCMSE.
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