The Impact of ICT Penetration on Deforestation: A Panel Data Evidence

IF 0.4 Q4 ECONOMICS Review of Economic Perspectives Pub Date : 2019-12-01 DOI:10.2478/revecp-2019-0018
R. Yilmaz, C. Koyuncu
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引用次数: 5

Abstract

Abstract A growing number of case studies and reports suggest that Information and Communication Technologies (ICT) play an important role in fighting against deforestation, and the penetration of ICT help decrease deforestation in a different part of world’s forests. The aim of this study is to test whether diffusion of ICT contributes to decreasing in deforestation in the world. For this purpose, the effect of ICT penetration on deforestation is estimated by using bivariate and multivariate fixed time effect models. In the sample selection process, those countries having 2% or more forest area as a percentage of total land area we included in our analysis. The largest sample includes 174 countries. The period under study is between 1991 and 2012. It is found that ICT penetration is significantly and negatively associated with deforestation. The results are robust to the inclusion of a number of control variables as well as different indicators of ICT penetration and deforestation as such all available four ICT indicators and two deforestation indicators are used. To avoid potential spurious regression problems in the analyses, the original models are re-estimated by using the stationary forms of all independent and dependent variables. A strong negative correlation between ICT indicators and deforestation indicators is also supported by the findings of re-estimated bivariate and multivariate models. Empirical evidence at the macro level provided in this paper confirms the results mentioned in the case studies.
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信息通信技术普及对森林砍伐的影响:一个小组数据证据
摘要越来越多的案例研究和报告表明,信息和通信技术在打击森林砍伐方面发挥着重要作用,信息和通讯技术的普及有助于减少世界森林不同地区的森林砍伐。这项研究的目的是测试信息和通信技术的传播是否有助于减少世界上的森林砍伐。为此,通过使用双变量和多变量固定时间效应模型来估计信息和通信技术普及对森林砍伐的影响。在样本选择过程中,我们将森林面积占总土地面积2%或以上的国家纳入分析。最大的样本包括174个国家。研究期间为1991年至2012年。研究发现,信息和通信技术的普及与森林砍伐有很大的负面关系。由于纳入了一些控制变量以及信息和通信技术普及率和森林砍伐的不同指标,结果是稳健的,因此使用了所有可用的四个信息和通信科技指标和两个森林砍伐指标。为了避免分析中潜在的虚假回归问题,使用所有自变量和因变量的平稳形式重新估计原始模型。重新估计的双变量和多变量模型的结果也支持了信息和通信技术指标与森林砍伐指标之间的强烈负相关性。本文提供的宏观层面的经验证据证实了案例研究中提到的结果。
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
1.40
自引率
0.00%
发文量
10
审稿时长
38 weeks
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