Policy Framework of Green Taxation on Motor Vehicles: A Comparative Perspective

IF 0.9 Q4 ENVIRONMENTAL SCIENCES
Kanwal DP Singh, Sheetal Gahlot
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引用次数: 0

Abstract

Green economics is structured to reward more innovative, environmentally sustainable, and low-carbon resource use while imposing taxes on the emission of pollutants that adversely impact the environment and public health. The concept of green taxation is still being tested in many nation-states. Pollution is worst in India, and the country is ranking low on several environmental performance indices. Vehicle exhausts are one of the key pollutants. In 2021, the Indian government released draft guidelines for imposing Green Tax on older motor vehicles. India submitted its first Nationally Determined Contribution Report to the United Nations Framework Convention on Climate Change in 2022. India prioritized green taxonomies, low-carbon transportation systems, and Bharat Stage-VI emission standards and offered incentives and tax breaks to encourage the production and use of higher ethanol-compatible vehicles. There is still a lack of awareness among the masses, as well as academic discussions and literature on the subject. Against this backdrop, the researchers intend to explore the legal and economic actions undertaken by the Indian Government to intercept vehicular air pollution. An effort will also be made to draw a comparative study with the fiscal policy measures and other steps taken by the Italian government to tax polluting vehicles. Keywords: Green Taxation, Vehicular Pollution, Economic Incentives, Environmental Protection, Sustainable Development
机动车绿色税收政策框架:比较视角
绿色经济的结构是奖励更多创新的、环境可持续的和低碳的资源使用,同时对对环境和公众健康产生不利影响的污染物的排放征税。绿色税收的概念在许多民族国家仍处于试验阶段。印度的污染最严重,在几个环境绩效指标上排名较低。汽车尾气是主要污染物之一。2021年,印度政府发布了对老旧机动车征收环保税的指导方针草案。印度于2022年向联合国气候变化框架公约提交了第一份国家自主贡献报告。印度优先考虑绿色分类法、低碳交通系统和巴拉特第六阶段排放标准,并提供奖励和税收优惠,鼓励生产和使用更高乙醇兼容性的车辆。大众对这一问题的认识仍然不足,关于这一问题的学术讨论和文献也不足。在此背景下,研究人员打算探讨印度政府为拦截车辆空气污染而采取的法律和经济行动。还将努力与意大利政府对污染车辆征税的财政政策措施和其他措施进行比较研究。关键词:绿色税收,车辆污染,经济激励,环境保护,可持续发展
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
自引率
10.00%
发文量
31
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