Indian energy policies amidst urban population and economic growth: Sourcing evidence from time-frequency domain analysis

Avik Sinha, T. Adebayo, F. Bekun
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Abstract

Relying solely on fossil fuel-driven economic growth could prove unsustainable, particularly in India, where the adverse environmental impact of this growth trajectory is increasingly affecting overall economic development. This challenge may hinder the realization of the sustainable development goals (SDGs) in the country. Therefore, to address this policy concern, an empirically investigation on the influence of various growth drivers on India's economic growth from 1965 to 2019 was conducted by this present study. Leveraging time-frequency estimators like gradual shift causality tests and Wavelet Coherence, the study yields a range of findings that can inform the formulation of an SDG-oriented policy framework. These outcomes not only acknowledge the detrimental environmental consequences of economic growth but also provide insights into addressing energy security issues. Ultimately, this research enhances to the literature by suggesting a comprehensive and adaptable policy framework aimed at advancing SDGs 7, 8, 12, and 13.
城市人口和经济增长中的印度能源政策:从时间频率域分析中寻找证据
仅仅依靠化石燃料驱动的经济增长可能证明是不可持续的,特别是在印度,这种增长轨迹对环境的不利影响正日益影响到整体经济发展。这一挑战可能会阻碍印度可持续发展目标(SDGs)的实现。因此,为了解决这一政策问题,本研究对 1965 年至 2019 年期间各种增长驱动因素对印度经济增长的影响进行了实证调查。本研究利用渐变因果检验和小波相干性等时间频率估计工具,得出了一系列结论,为制定以可持续发展目标为导向的政策框架提供了参考。这些结果不仅承认了经济增长对环境造成的不利影响,还为解决能源安全问题提供了启示。最终,这项研究为推进可持续发展目标 7、8、12 和 13 的实现提出了一个全面、可调整的政策框架,从而丰富了相关文献。
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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