增加公共服务支出会减缓长期经济增长率吗?——来自中国的证据

IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-09-20 DOI:10.20965/jaciii.2023.p0761
Weize Xiao
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引用次数: 0

摘要

近年来,经济衰退有所加剧,COVID-19的影响减缓了经济增长。市场的整体悲观情绪导致了政府财政收入的收缩。中国经济一直依赖于政府投资。地方政府生产性投资直接促进了资本形成,促进了经济快速增长。在支出压力加大、收入口径收紧的情况下,公共服务支出占比的持续增长是否会影响既定的增长目标,阻碍经济增长的效率?本研究基于包含两类政府支出的一般均衡模型,并使用中国2010-2019年省级面板数据进行实证分析。研究结果表明,在当前经济形势下,提高公共服务支出比重有利于经济进一步增长。
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Does Increasing Public Service Expenditure Slow the Long-Term Economic Growth Rate?—Evidence from China
Economic downturns have increased in recent years, and the impact of COVID-19 has slowed economic growth. The market’s overall pessimism led to a contraction in the government’s fiscal revenue. The Chinese economy has always relied on government investments. Local governments’ productive investments have directly contributed to capital formation, which has promoted rapid economic growth. With the increase in expenditure pressure and the tightening of income caliber, will the continuous growth of the proportion of public service expenditure affect the established growth goals and hinder the efficiency of economic growth? This study explains this based on a general equilibrium model containing two types of government expenditure and uses China’s 2010–2019 provincial panel data for the empirical analysis. The results show that, in the current economic situation, increasing the proportion of public service expenditure is conducive to further economic growth.
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来源期刊
CiteScore
1.50
自引率
14.30%
发文量
89
期刊介绍: JACIII focuses on advanced computational intelligence and intelligent informatics. The topics include, but are not limited to; Fuzzy logic, Fuzzy control, Neural Networks, GA and Evolutionary Computation, Hybrid Systems, Adaptation and Learning Systems, Distributed Intelligent Systems, Network systems, Multi-media, Human interface, Biologically inspired evolutionary systems, Artificial life, Chaos, Complex systems, Fractals, Robotics, Medical applications, Pattern recognition, Virtual reality, Wavelet analysis, Scientific applications, Industrial applications, and Artistic applications.
期刊最新文献
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