Empowering tomorrow: Unleashing the role of technology driven energy efficiency for sustainable development in China

Muhammed Ashiq Villanthenkodath , Shreya Pal
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Abstract

The underlying objective of the study is to investigate the energy efficiency improvement potentiality of total technological innovation and its components, such as residential and non-residential technological innovations, by controlling for economic growth and energy prices in China. To this end, the study employs Dynamic Ordinary Least Squares (DOLS), Canonical Cointegrating Regression (CCR), and Fully Modified Ordinary Least Squares (FMOLS) based on the unit root testing and Johansen and Juselius cointegration test outcomes. Thus, the results confirm the long-run relationship among the series under investigation. Further, it shows that total technological innovation and its components, i.e., residential and non-residential technological innovations, have the potential to improve energy efficiency. However, economic growth and energy prices are reducing energy efficiency. Moreover, these findings are stable while applying the other alternative methods for robustness. Therefore, the study suggests policy recommendations aimed at promoting technology that may be either residential or non-residential technological innovations to increase energy efficiency. Additionally, it urges designing national-level energy policy to boost economic progress by conserving energy along with measures to stabilize energy prices.

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为明天赋能:释放技术驱动能效对中国可持续发展的作用
本研究的基本目标是在控制中国经济增长和能源价格的情况下,研究总体技术创新及其组成部分(如住宅和非住宅技术创新)的能效改善潜力。为此,本研究在单位根检验和 Johansen 与 Juselius 协整检验结果的基础上,采用了动态普通最小二乘法(DOLS)、卡农协整回归法(CCR)和完全修正普通最小二乘法(FMOLS)。因此,结果证实了所研究序列之间的长期关系。此外,研究还表明,总体技术创新及其组成部分,即住宅和非住宅技术创新,具有提高能源效率的潜力。然而,经济增长和能源价格正在降低能源效率。此外,这些结论在应用其他替代方法进行稳健性分析时也是稳定的。因此,该研究提出了政策建议,旨在促进住宅或非住宅技术创新,以提高能源效率。此外,研究还敦促制定国家级能源政策,通过节约能源和稳定能源价格的措施来促进经济发展。
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