Gauging the level of dynamic between climate policy and foreign aid in Vietnam

Le Thanh Ha
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Abstract

Increasing foreign aid is a key strategy to assist developing nations in implementing financial policies to address the climate problem. Well-constructed aid programs can encourage the adoption of climate policies, but prospective advantages are not always realized, especially in the case of developing countries. Therefore, it is critical to conduct a more comprehensive study on the impact of climate aid on recipient countries' climate policy. We use a model-free connectedness approach to investigate interlinkages between climate policy and foreign aid, with a consideration of other variables like GDP and CO2 emissions in Vietnam from 2000 to 2021. Our results highlight a two-way relationship between foreign aid and climate policy. The net total connectedness shows that climate policy is a main net recipient of shock waves, with the exception of the 2008–2010 and 2020–2021 periods. Foreign aid was the main net receiver of spillover shocks from 2010 to 2019. The direction of the net pairwise connectivity shows that the domination of foreign aid with climate policy peaked in 2018. The development process of climate policy in Vietnam faces many difficulties when foreign aid decreases. This paper's findings help policymakers and governments set up the framework for promoting the use of foreign aid to enhance the efficiency of climate policy to mitigate environmental degradation in Vietnam.
评估越南气候政策与对外援助之间的动态水平
增加外援是帮助发展中国家实施应对气候问题的财政政策的一项关键战略。精心设计的援助项目可以鼓励采取气候政策,但预期的优势并不总是能够实现,尤其是在发展中国家。因此,对气候援助对受援国气候政策的影响进行更全面的研究至关重要。我们使用无模型连通性方法来研究气候政策与外援之间的相互联系,同时考虑了越南2000年至2021年的GDP和二氧化碳排放量等其他变量。我们的研究结果强调了外援与气候政策之间的双向关系。净总连通性表明,除2008-2010年和2020-2021年期间外,气候政策是冲击波的主要净接受者。2010 - 2019年,外援是外溢冲击的主要净接受者。净成对连通性的方向表明,外国援助与气候政策的主导地位在2018年达到顶峰。随着外援的减少,越南气候政策的发展过程面临诸多困难。本文的研究结果有助于决策者和政府建立框架,促进利用外国援助来提高气候政策的效率,以减轻越南的环境退化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Economics
International Economics Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
6.30
自引率
0.00%
发文量
74
审稿时长
71 days
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