外国直接投资对加纳贫困的影响:约翰森协整分析

Abdul-Jalilu Mohammed Muntaka, O. A. Oyebamiji, Abiola Adeniyi
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摘要

在过去几年中,加纳见证了外国直接投资的显著增加,预计这将转化为减少贫困和不平等的变革性增长;然而,该国的贫困和收入不平等状况仍然很高。外国直接投资(FDI)和贫困研究很重要,因为FDI可以对东道国的贫困水平产生积极和消极的影响[10]。积极因素意味着,外国直接投资可以带来资本、技术和就业机会,从而通过促进经济增长和提高人民生活水平来帮助减少贫困。另一方面,外国直接投资可能取代当地企业,加剧收入不平等,并产生损害社会最贫困成员的环境后果。了解外国直接投资与贫困之间的关系可以帮助决策者和企业做出明智的决策,促进包容性和可持续的经济增长,减少贫困。本研究使用1990年至2018年的29年数据集调查了外国直接投资对加纳贫困的影响。分析使用约翰森协整技术。文献说明了本研究使用的变量。基尼系数(代表贫困及其FGT贫困指数家族的组成部分)、外国直接投资(FDI)、人均GDP、汇率、贸易开放度和通货膨胀率都是协整的。研究结果表明,FDI、人均GDP、通货膨胀率和汇率扩大了收入不平等差距,从而增加了贫困发生率。相反,贸易开放程度的提高会降低基尼系数,这意味着收入不平等和贫困的减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of Foreign Direct Investment on Poverty in Ghana: A Johansen Co-integration Analysis
In the past years, Ghana has witnessed a significant increase in Foreign Direct Investment which is expected to translate into transformative growth that reduces poverty and inequality; however, the country’s poverty and income inequality profile remain high. Foreign direct investment (FDI) and poverty research are important because FDI can have both positive and negative effects on poverty levels in host countries [1]. The positives imply that FDI can bring in capital, technology, and job opportunities, which can help reduce poverty by boosting economic growth and raising people's living standards. On the other hand, FDI can displace local businesses, exacerbate income inequality, and have environmental consequences that harm the poorest members of society. Understanding the relationship between FDI and poverty can assist policymakers and businesses in making informed decisions that promote inclusive and sustainable economic growth and reduce poverty. This study investigates the impact of FDI on poverty in Ghana using a 29-year data set from (1990 to 2018). Analysis was done using the Johansen Cointegration technique. The literature informed the variables used for this study. The Gini coefficient (which serves as a proxy for poverty and its parts of the FGT poverty indices family), foreign direct investment (FDI), GDP per Capita, exchange rate, trade openness, and inflation rate were all cointegrated. The results of the study showed that FDI, GDP per capita, inflation rate, and exchange rate widen the income inequality gap, hence, increasing the poverty incidence. In contrast, an increase in trade openness reduces the Gini coefficient implying a reduction in income inequality and poverty.
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