Determining the effectiveness of the forest load capacity factor in assisting decarbonization in India

IF 4 2区 农林科学 Q1 ECONOMICS Forest Policy and Economics Pub Date : 2024-06-20 DOI:10.1016/j.forpol.2024.103281
Ugur Korkut Pata , Selin Karlilar Pata
{"title":"Determining the effectiveness of the forest load capacity factor in assisting decarbonization in India","authors":"Ugur Korkut Pata ,&nbsp;Selin Karlilar Pata","doi":"10.1016/j.forpol.2024.103281","DOIUrl":null,"url":null,"abstract":"<div><p>The atmospheric concentration of carbon dioxide (CO<sub>2</sub>) has increased dramatically due to various human activities, with deforestation playing an important role. Forests act as carbon sinks and have the capacity to absorb CO<sub>2</sub> and other harmful emissions from the atmosphere. In particular, the Sustainable Development Goal (SDG)-15 (Life on Land) addresses the importance of reforestation and forest management. Accordingly, this study analyzes the impact of the forest load capacity factor and renewable energy on CO<sub>2</sub> emissions in the context of the Environmental Kuznets Curve (EKC) hypothesis. For this purpose, the study focuses on India from 1990 to 2021. The empirical results indicate that (i) the EKC hypothesis is valid; (ii) the forest load capacity factor has an inhibitory effect on CO<sub>2</sub> emissions; and (iii) renewable energy consumption has no significant effect on ecological degradation. This study points to the crucial role of forest load capacity for ecological sustainability. Moreover, renewable energy sources do not seem to be a viable option to achieve India's environmental goals. Therefore, the Indian government should focus on improving afforestation and forest conservation policies to improve ecological conditions.</p></div>","PeriodicalId":12451,"journal":{"name":"Forest Policy and Economics","volume":"166 ","pages":"Article 103281"},"PeriodicalIF":4.0000,"publicationDate":"2024-06-20","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/S1389934124001357","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

The atmospheric concentration of carbon dioxide (CO2) has increased dramatically due to various human activities, with deforestation playing an important role. Forests act as carbon sinks and have the capacity to absorb CO2 and other harmful emissions from the atmosphere. In particular, the Sustainable Development Goal (SDG)-15 (Life on Land) addresses the importance of reforestation and forest management. Accordingly, this study analyzes the impact of the forest load capacity factor and renewable energy on CO2 emissions in the context of the Environmental Kuznets Curve (EKC) hypothesis. For this purpose, the study focuses on India from 1990 to 2021. The empirical results indicate that (i) the EKC hypothesis is valid; (ii) the forest load capacity factor has an inhibitory effect on CO2 emissions; and (iii) renewable energy consumption has no significant effect on ecological degradation. This study points to the crucial role of forest load capacity for ecological sustainability. Moreover, renewable energy sources do not seem to be a viable option to achieve India's environmental goals. Therefore, the Indian government should focus on improving afforestation and forest conservation policies to improve ecological conditions.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
确定森林负载能力系数在协助印度实现脱碳方面的有效性
由于人类的各种活动,大气中的二氧化碳(CO2)浓度急剧上升,其中森林砍伐发挥了重要作用。森林是碳汇,有能力吸收大气中的二氧化碳和其他有害气体。可持续发展目标(SDG)-15(陆地生活)尤其强调了重新造林和森林管理的重要性。因此,本研究以环境库兹涅茨曲线(EKC)假设为背景,分析了森林负载能力因子和可再生能源对二氧化碳排放的影响。为此,本研究以 1990 年至 2021 年的印度为研究对象。实证结果表明:(i) EKC 假设成立;(ii) 森林负载能力系数对二氧化碳排放有抑制作用;(iii) 可再生能源消费对生态退化没有显著影响。这项研究指出了森林负载能力对生态可持续性的关键作用。此外,可再生能源似乎并不是实现印度环境目标的可行选择。因此,印度政府应重点改善植树造林和森林保护政策,以改善生态条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 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.
期刊最新文献
The oil palm replanting imperative: Are smallholder farmers willing to participate? Reviewing factors that influence voluntary participation in conservation programs in Latin America Preliminary evidence of softwood shortage and hardwood availability in EU regions: A spatial analysis using the European Forest Industry Database How contracted tree farmers engage in and benefit from inclusive value chains: Evidence from Vietnam Outsourcing stumpage price uncertainty with American put option for active timber management1
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1