金砖国家城市化、环境退化与经济增长关系

Hina Ali, N. Ejaz
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引用次数: 0

摘要

本研究旨在探讨金砖国家(巴西、俄罗斯、印度、中国、南非)经济体城市化、环境退化与经济增长之间的关系。这种关系仍有疑问。城市化与经济增长和环境退化有正相关关系,也有负相关关系。但事实是,城市化、环境恶化和经济增长是相互关联的。为了进行分析,数据取自1990年至2018年。建立了两个模型,第一个模型显示了城市化与经济增长的联系,第二个模型显示了环境退化与经济增长的联系。模型中的因变量为GDP,自变量为劳动力参与率、二氧化碳排放、固定资本形成总额、贸易开放程度、汇率、入学率、实际利率、城市化增长率和贫困人口。年度数据从世界指标文件中收集。为了检验变量之间的相关性,采用了面板协整分析,如Pedroni协整检验和Kao残差协整检验。两个模型分别采用面板协整检验。两个FMOLS模型都估计了相关性。还应用了因果关系检验。结论效应表明,在金砖国家,城市化对经济增长有积极影响,而环境退化对经济增长有消极影响。目前的研究是基于最小考虑变量面板协整检验FMOLS技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
URBANIZATION, ENVIRONMENTAL DEGRADATION AND ECONOMIC GROWTH NEXUS IN BRICS ECONOMIES
This research aims to investigate the nexus between urbanization environmental degradation and economic growth in BRICS (Brazil, Russia, India, China, South Africa) economies. This relation is still under question. Some researcher shows positive affiliation of urbanization with economic growth and environmental degradation while some show negative. But truth is that urbanization environmental degradation and economic growth are correlated to each other. For the analysis, data is taken from the period 1990 to 2018. Two models are created the first model shows the urbanization nexus with economic growth and the second is showing the nexus of environmental degradation and economic growth. The GDP is the dependent variable in both model and independent variable are labor force participation rate, carbon dioxide emission, gross fixed capital formation, trade openness, exchange rate, school enrollment, real interest rate, urbanization growth, and poverty headcount. Annual data is collected from the world indicator file. To check the correlation between variables, panel co-integration analyses such as Pedroni co-integration test, and Kao residual co-integration tests are applied. Panel co-integration tests are employed on two models separately. Both FMOLS models estimated the relevance. A causality test is also applied. The concluding effect shows that in BRICS urbanization has a positive effect on economic growth and a negative effect of environmental degradation on economic growth. The current study base on the least considered variables panel cointegration test FMOLS technique is used.
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