选取的新兴市场国家政府收入、支出与经济增长关系的实证研究

IF 0.7 Q3 ECONOMICS
A. K. Suresh, B. Seth, Samir Ranjan Behera, D. Rath
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引用次数: 0

摘要

目的─本文利用1991-92年至2019-20年的年度数据,探讨了九个新兴市场经济体的政府收入、政府支出与经济增长之间的关系。方法─本文通过应用协整检验、向量误差校正、DOLS和FMOLS对亚洲、非洲、欧洲和拉丁美洲选定的新兴经济体的独特面板数据集进行实证调查,将自己与现有文献区分出来。采用标准面板协整检验,发现经济增长与政府支出、政府支出与政府收入之间存在双向因果关系。研究结果─使用VECM计算的长期弹性得到了DOLS和FMOLS估计值的证实。从长远来看,支出和收入每增加1%,将使国内总产值分别增加0.94%和0.90%。同样,GDP增长1%将导致政府支出增加1.1%。另一方面,政府收入增加1%将导致政府支出相应增加近1%。这项研究的结果表明,政府收入、支出和经济增长之间存在正相关关系,这对政策制定者来说是有价值的。贡献─据我们所知,我们的国家选择组合涵盖了不同大陆的经济体,这是第一次。另一个贡献是面板协整和面板误差校正技术的应用,以充分利用面板数据集,而大多数先前的研究利用典型的时间序列建模与单个时间序列数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An empirical investigation of the relationship between government revenue, expenditure, and economic growth in selected EMEs
Purpose ─ This article explores the relationship between government revenue, government expenditure, and economic growth for nine emerging market economies using annual data from 1991-92 to 2019-20. Method ─ This paper distinguishes itself from the existing literature through the application of co-integration tests, vector error correction, DOLS and FMOLS for an empirical investigation of a unique panel data set of select emerging economies across Asia, Africa, Europe and Latin America. A bi-directional causal long-run relationship between economic growth and government expenditure, as well as between government expenditure and government revenue, was found using standard panel co-integration tests. Findings ─ The long-run elasticities computed using VECM were confirmed from DOLS as well as FMOLS estimates. A one per cent increase in expenditure and revenue, in the long run, would result in an increase in GDP by 0.94 and 0.90 per cent, respectively. Similarly, an increase in GDP by one per cent would lead to an increase in government expenditure by 1.1 per cent. On the other hand, an increase in government revenue by one per cent would cause a corresponding increase in government expenditure by nearly one per cent. The findings of this research point to a positive association between government revenue, expenditure, and economic growth, which will be valuable to policymakers. Contribution ─ Our combination of country selection covering economies from different continents is a first of its kind to the best of our knowledge. Another contribution is the application of panel cointegration and panel error correction techniques to fully use the panel data set, while most previous studies utilised the typical time series modelling with individual time series data.
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20.00%
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