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Analyzing nonlinear impact of economic growth drivers on CO_2 emissions: designing an SDG framework for India

机译:分析经济增长司机对CO_2排放的非线性影响:为印度设计SDG框架

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摘要

Several Asian countries are facing challenges regarding the accomplishment of the objectives of Sustainable Development Goals (SDGs), and India is facing a similar situation. Following this, this study talks about designing an SDG framework for India that can be used as a benchmark for other Asian countries. In this pursuit, this study looks into whether per capita income, energy use, trade openness, and oil price have any impact on CO_2 emissions. The nonlinear autoregressive distributed lag approach proves that the fluctuations in independent variables have an asymmetric long-term impact on CO_2 emissions.The results reveal that the prevailing economic growth pattern in India is environmentally unsustainable because of its dependence on fossil fuel based energy consumption and imported crude oil. Import substitution has been identified as one of the first stepping stones to address this issue and accordingly a multipronged SDG framework is designed based on the direct and extended version of the study outcomes.While the Central policy framework shows a way to address SDG 7, SDG 8, SDG 12, and SDG 13, the tangential policy framework shows the way to sustain the Central policy framework by addressing SDG 4.
机译:一些亚洲国家面临有关实现可持续发展目标(SDGS)的目标的挑战,而印度面临着类似的情况。在此之后,这项研究涉及为印度设计一个可用于其他亚洲国家的基准的SDG框架。在这项追求中,本研究探讨了人均收入,能源使用,贸易开放和油价对CO_2排放有任何影响。非线性自动评级分布式滞后方法证明了独立变量的波动对CO_2排放具有不对称的长期影响。结果表明,印度的普遍经济增长模式是环境不可持续的,因为它对化石燃料基于化石的能量消耗和进口的依赖性是环保的。原油。导入替换已被识别为解决此问题的第一阶梯状石头之一,因此根据研究结果的直接和扩展版本设计了一个多字的SDG框架。中央策略框架显示了一种解决SDG 7,SDG的方法8,SDG 12和SDG 13,切线策略框架通过寻址SDG 4来显示维持中央策略框架的方法。

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    Department of International Trade and Finance School of Management and Economics Beijing Institute of Technology Beijing China;

    Department of International Trade and Finance School of Management and Economics Beijing Institute of Technology Beijing China;

    Department of International Trade and Finance School of Management and Economics Beijing Institute of Technology Beijing China;

    Department of International Trade and Finance School of Management and Economics Beijing Institute of Technology Beijing China;

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