印度地缘政治风险和不确定性背景下的环境退化:生态足迹、二氧化碳排放量和负载能力系数的比较

IF 5.8 Q2 ENERGY & FUELS Energy and climate change Pub Date : 2024-01-02 DOI:10.1016/j.egycc.2023.100122
Muhammed Ashiq Villanthenkodath , Shreya Pal
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引用次数: 0

摘要

本研究通过形成 1990-2019 年期间印度的生态足迹、二氧化碳排放量和负载能力因子函数,评估了地缘政治风险和不确定性在环境退化中的作用。此外,该函数还将经济增长、可再生能源消耗和自然资源租金作为附加协变量。自回归分布滞后模型(ARDL)的使用证实了研究变量之间的长期关系。此外,自回归分布式滞后模型(DYNARDL)的动态模拟结果表明,地缘政治风险通过减少生态足迹和二氧化碳排放改善了环境质量。然而,地缘政治风险会降低负载能力系数,从而降低环境质量。此外,不确定性通过减少二氧化碳排放量和生态足迹改善了环境质量,但不确定性导致的负载能力系数降低意味着印度环境质量的下降。鉴于这些发现,研究提出了不同的环境保护政策。
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Environmental degradation in geopolitical risk and uncertainty contexts for India: A comparison of ecological footprint, CO2 emissions, and load capacity factor

This study assesses the role of geopolitical risk and uncertainty in the degradation of the environment by forming the functions for ecological footprint, CO2 emissions, and load capacity factor for the period 1990–2019 in India. Besides, the specified function endogenizes economic growth, renewable energy consumption, and natural resource rent as the additional covariates. The use of the autoregressive distributed lag model (ARDL) confirms the long-run relationship between study variables. Further, the dynamic simulations of the autoregressive distributed lag model (DYNARDL) outcomes show that geopolitical risk improves the quality of the environment by reducing the ecological footprint and CO2 emissions. However, it degrades the environment by reducing the load capacity factor. Furthermore, the uncertainty improves the environmental quality by reducing the CO2 emissions and ecological footprint, but the reduced load capacity factor due to uncertainty implies the degradation of environmental quality in India. Given these findings, the study proposes different environmental conservation policies.

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来源期刊
Energy and climate change
Energy and climate change Global and Planetary Change, Renewable Energy, Sustainability and the Environment, Management, Monitoring, Policy and Law
CiteScore
7.90
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0.00%
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0
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