全球森林环境库兹涅茨曲线:米-拉索估算器的应用

IF 4 2区 农林科学 Q1 ECONOMICS
{"title":"全球森林环境库兹涅茨曲线:米-拉索估算器的应用","authors":"","doi":"10.1016/j.forpol.2024.103304","DOIUrl":null,"url":null,"abstract":"<div><p>In this study, we employ a Moran's <span><math><mi>i</mi></math></span> based Lasso (Mi-Lasso) methodology to address the spatial dependence of an unspecified functional form, investigating the association between a country's economic growth and the rate of deforestation. Our aim is to explore the existence of a forestry environmental Kuznets curve (EKC). Our approach to handling spatial dependence overcomes limitations identified in existing EKC literature. We estimate a series of cross-sectional data models spanning the period from 1990 to 2020 for 146 countries. Our findings indicate a non-linear relationship, revealing a change peak rate of deforestation over time. Additionally, we observe that the income threshold at which the deforestation rate begins to decrease changes over time with differences observed between model specifications. Crucially, our results highlight that failing to account for spatial dependence leads to a significant absolute upward bias in ordinary least squares (OLS) estimates of income and worse model fit.</p></div>","PeriodicalId":12451,"journal":{"name":"Forest Policy and Economics","volume":null,"pages":null},"PeriodicalIF":4.0000,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1389934124001588/pdfft?md5=24ed1e5dd57b115acef4f70cc7711d1c&pid=1-s2.0-S1389934124001588-main.pdf","citationCount":"0","resultStr":"{\"title\":\"An environmental Kuznets curve for global forests: An application of the mi-lasso estimator\",\"authors\":\"\",\"doi\":\"10.1016/j.forpol.2024.103304\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In this study, we employ a Moran's <span><math><mi>i</mi></math></span> based Lasso (Mi-Lasso) methodology to address the spatial dependence of an unspecified functional form, investigating the association between a country's economic growth and the rate of deforestation. Our aim is to explore the existence of a forestry environmental Kuznets curve (EKC). Our approach to handling spatial dependence overcomes limitations identified in existing EKC literature. We estimate a series of cross-sectional data models spanning the period from 1990 to 2020 for 146 countries. Our findings indicate a non-linear relationship, revealing a change peak rate of deforestation over time. Additionally, we observe that the income threshold at which the deforestation rate begins to decrease changes over time with differences observed between model specifications. Crucially, our results highlight that failing to account for spatial dependence leads to a significant absolute upward bias in ordinary least squares (OLS) estimates of income and worse model fit.</p></div>\",\"PeriodicalId\":12451,\"journal\":{\"name\":\"Forest Policy and Economics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1389934124001588/pdfft?md5=24ed1e5dd57b115acef4f70cc7711d1c&pid=1-s2.0-S1389934124001588-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Forest Policy and Economics\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1389934124001588\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forest Policy and Economics","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1389934124001588","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

摘要

在本研究中,我们采用基于莫兰 i 的拉索(Mi-Lasso)方法来解决未指定函数形式的空间依赖性问题,调查国家经济增长与森林砍伐率之间的关联。我们的目的是探索是否存在林业环境库兹涅茨曲线(EKC)。我们处理空间依赖性的方法克服了现有 EKC 文献中发现的局限性。我们估计了 146 个国家从 1990 年到 2020 年的一系列横截面数据模型。我们的研究结果表明了一种非线性关系,揭示了森林砍伐率峰值随时间的变化。此外,我们还发现,森林砍伐率开始下降的收入阈值会随着时间的推移而变化,不同的模型规格之间也存在差异。最重要的是,我们的研究结果表明,如果不考虑空间依赖性,普通最小二乘法(OLS)的收入估计值会出现明显的绝对向上偏差,模型拟合度也会降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An environmental Kuznets curve for global forests: An application of the mi-lasso estimator

In this study, we employ a Moran's i based Lasso (Mi-Lasso) methodology to address the spatial dependence of an unspecified functional form, investigating the association between a country's economic growth and the rate of deforestation. Our aim is to explore the existence of a forestry environmental Kuznets curve (EKC). Our approach to handling spatial dependence overcomes limitations identified in existing EKC literature. We estimate a series of cross-sectional data models spanning the period from 1990 to 2020 for 146 countries. Our findings indicate a non-linear relationship, revealing a change peak rate of deforestation over time. Additionally, we observe that the income threshold at which the deforestation rate begins to decrease changes over time with differences observed between model specifications. Crucially, our results highlight that failing to account for spatial dependence leads to a significant absolute upward bias in ordinary least squares (OLS) estimates of income and worse model fit.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Forest Policy and Economics
Forest Policy and Economics 农林科学-林学
CiteScore
9.00
自引率
7.50%
发文量
148
审稿时长
21.9 weeks
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信