{"title":"The effects of trade openness on deforestation in the Congo Basin countries","authors":"André Melachio Tameko","doi":"10.1016/j.forpol.2024.103189","DOIUrl":null,"url":null,"abstract":"<div><p>This study investigates the effects of trade openness on deforestation in the six countries of the Congo Basin using a panel data model. An up-to-date database on forest cover is utilized for the period 1990–2020. The feasible generalized least squares, seemingly unrelated regression, correlated panels corrected standard errors, and Driscoll and Kraay standard errors estimators are employed in this study to account for heteroskedasticity, autocorrelation, and cross-sectional dependence. Given the presence of cointegration, the dynamic ordinary least squares for cointegrated panel data is also utilized to estimate the model. The results indicate that an increase in trade openness is associated with a higher rate of deforestation. This finding is further supported by the robustness check conducted using the Trade Globalisation Index. Furthermore, a U-shaped relationship is observed between deforestation and income, which contradicts the Environmental Kuznets Curve hypothesis.</p></div>","PeriodicalId":12451,"journal":{"name":"Forest Policy and Economics","volume":null,"pages":null},"PeriodicalIF":4.0000,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forest Policy and Economics","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S138993412400042X","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates the effects of trade openness on deforestation in the six countries of the Congo Basin using a panel data model. An up-to-date database on forest cover is utilized for the period 1990–2020. The feasible generalized least squares, seemingly unrelated regression, correlated panels corrected standard errors, and Driscoll and Kraay standard errors estimators are employed in this study to account for heteroskedasticity, autocorrelation, and cross-sectional dependence. Given the presence of cointegration, the dynamic ordinary least squares for cointegrated panel data is also utilized to estimate the model. The results indicate that an increase in trade openness is associated with a higher rate of deforestation. This finding is further supported by the robustness check conducted using the Trade Globalisation Index. Furthermore, a U-shaped relationship is observed between deforestation and income, which contradicts the Environmental Kuznets Curve hypothesis.
期刊介绍：
Forest Policy and Economics is a leading scientific journal that publishes peer-reviewed policy and economics research relating to forests, forested landscapes, forest-related industries, and other forest-relevant land uses. It also welcomes contributions from other social sciences and humanities perspectives that make clear theoretical, conceptual and methodological contributions to the existing state-of-the-art literature on forests and related land use systems. These disciplines include, but are not limited to, sociology, anthropology, human geography, history, jurisprudence, planning, development studies, and psychology research on forests. Forest Policy and Economics is global in scope and publishes multiple article types of high scientific standard. Acceptance for publication is subject to a double-blind peer-review process.
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