Understanding the socio-economic causes of deforestation: a global perspective

IF 2.7 3区 农林科学 Q2 ECOLOGY
Petr Prochazka, Josef Abrham, Jaroslav Cerveny, Lukas Kobera, Petra Sanova, Daniel Benes, Julia-Maria Fink, Eliska Jiraskova, Simona Primasova, Jana Soukupova, Lubos Smutka
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Abstract

Introduction This paper investigates the links between deforestation and key economic, social, environmental, and geographical variables. We focus on per capita GDP, total forest cover, and the population across a diverse sample of countries from five continents for the last three decades. Methods This study utilizes a regression model using panel data to show the impact of key economic, and social variables on deforestation. Also, set of dummy variables is introduced in the paper. To enable the investigation, we use a set of dummies to capture their influence. The random effect specifications are used in this investigation. The research focuses on a period ranging from 1990 to 2020. Results Results show how different socio-economic variables influence deforestation. For example, disruptive events like the COVID-19 pandemic and the financial crisis had a negative effect on forest area development across all models. GDP per capita has different impact depending on the size of a country. Former colonies seem to have more deforestation. Conclusions The global environmental challenges posed by human activities and their impact on the state of forest have become increasingly evident. It is necessary to undertake policy and governance reforms to establish a solid legal framework, strengthen enforcement mechanisms, and foster transparency and accountability. The promotion of sustainable agriculture and agroforestry practices can substantially alleviate pressure on forests. Furthermore, it is necessary to mitigate disruptive events like pandemics by establishing specific strategies and creating contingency plans.
了解森林砍伐的社会经济原因:全球视角
本文研究了森林砍伐与主要经济、社会、环境和地理变量之间的联系。我们关注的是过去三十年来五大洲不同国家的人均国内生产总值、森林覆盖总量和人口。方法利用面板数据建立回归模型,分析主要经济和社会变量对森林砍伐的影响。同时,本文还引入了一组虚拟变量。为了进行调查,我们使用了一组假人来捕捉他们的影响力。本研究采用随机效应指标。这项研究的重点是1990年至2020年这一时期。结果显示了不同社会经济变量对森林砍伐的影响。例如,COVID-19大流行和金融危机等破坏性事件对所有模式的森林面积发展都产生了负面影响。根据一个国家的大小,人均GDP有不同的影响。前殖民地似乎有更多的森林砍伐。人类活动带来的全球环境挑战及其对森林状况的影响日益明显。有必要进行政策和治理改革,以建立坚实的法律框架,加强执法机制,促进透明度和问责制。促进可持续农业和农林业做法可以大大减轻对森林的压力。此外,有必要通过制定具体战略和制定应急计划来减轻流行病等破坏性事件。
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
CiteScore
4.50
自引率
6.20%
发文量
256
审稿时长
12 weeks
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