Deforestation-induced the EKC framework: The role of corruption control and trade openness in Southeast Asia

Mohamad Egi Destiartono, Mahjus Ekananda
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引用次数: 1

Abstract

Reducing the deforestation rate and formulating sustainable forest governance are still challenging for Southeast Asia. This empirical research intends to explore the dynamic connection between GDP, trade openness, corruption, and deforestation within the EKC framework by considering controls over agriculture and population. This article uses panel data from nine countries from 1996 to 2018. Pooled Mean Group (PMG) procedure and Dumitrescu-Hurlin (DH) causality tests were applied to examine the variables’ long-term relationships and the direction of the causality. This article also features the unit root and cointegration tests. The estimation supports the EKC hypothesis that the nexus between economic growth and deforestation forms an inverted-U curve. The turning point of the per capita GDP is USD 26785, i.e., the advanced stage of development. Other findings are that trade openness is a driver of deforestation, while control of corruption is an effective instrument to reduce the deforestation rate in the long run. Deforestation will still occur in Southeast Asia because only Brunei Darussalam has passed the turning point. However, implementing development programs while reducing the deforestation rate can be done because the bidirectional causality between GDP and deforestation is not confirmed. Improving trade regulations and governance is a necessary scheme to reduce deforestation rates in the future.
毁林引发的EKC框架:东南亚腐败控制与贸易开放的作用
降低森林砍伐率和制定可持续森林治理仍然是东南亚面临的挑战。本实证研究旨在通过考虑对农业和人口的控制,探讨EKC框架下GDP、贸易开放、腐败和森林砍伐之间的动态联系。本文使用了1996年至2018年九个国家的面板数据。采用PMG (Pooled Mean Group)法和duitrescui - hurlin (DH)因果检验检验各变量的长期关系和因果关系的方向。本文还介绍了单位根检验和协整检验。该估计支持EKC假设,即经济增长与森林砍伐之间的关系形成倒u曲线。人均GDP的拐点为26785美元,即发展的高级阶段。其他研究结果还包括,贸易开放是森林砍伐的驱动因素,而从长远来看,控制腐败是降低森林砍伐率的有效手段。东南亚仍将发生森林砍伐,因为只有文莱达鲁萨兰国已经度过了转折点。然而,在实施发展计划的同时减少森林砍伐率是可以做到的,因为GDP和森林砍伐之间的双向因果关系尚未得到证实。改善贸易法规和治理是未来降低森林砍伐率的必要方案。
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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