Which Publicly Financed Green Technology R&D Option Most Effectively Drives Carbon Productivity? Instances of Energy Efficiency, Renewables, Nuclear, Hydrogen, and Energy Storage

Energy Storage Pub Date : 2024-10-17 DOI:10.1002/est2.70046
Emmanuel Uche, Nicholas Ngepah
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Abstract

As a strategy, countries seek ways to improve national income and, at the same time, keep carbon emissions minimal. Such a scenario is captured by the respective economies' carbon productivity (CP) scores. Remarkably, it is expected that technological advancements could be harnessed to achieve CP. Hence, many countries have publicly invested in green technologies R&D, including energy efficiency, renewables, nuclear, hydrogen, and energy storage. However, existing studies did not verify the specific contributions of these technological advances to CP, leaving a notable void in the literature. Hence, the current research verified various green technology R&D contributions to CP. Based on panel data from 2003 to 2022, this study implemented the novel instrumental variable quantile regression technique for updated insights. The study uncovers the heterogeneous contributions of each energy innovation variant to the quantile distributions of CP. The heterogeneous effects underscore each country's changing economic structures and varied energy innovation implementation paths. Hence, policy consistency is key to driving CP and ensuring environmental compatibility. R&D on renewable, nuclear, and energy efficiency technologies contributed most significantly to CP across the distributions. R&D on hydrogen and energy storage technologies contributed the least to CP. Therefore, allocating more funds to all R&Ds that boost energy-enhancing technologies for overall environmental sustainability is expedient. Such proactive and integrative policies consistent with SDGs 7 and 13 would reduce carbon emissions while escalating national income. Meanwhile, isolated and inconsistent funding should be discouraged for overall environmental progress. A robustness evaluation based on SIVQR produced corroborative evidence.

Abstract Image

哪种公共资助的绿色技术研发方案能最有效地提高碳生产率?能效、可再生能源、核能、氢能和储能实例
作为一项战略,各国想方设法提高国民收入,同时将碳排放量保持在最低水平。各经济体的碳生产率(CP)得分反映了这种情况。值得注意的是,人们期望利用技术进步来实现碳生产率。因此,许多国家已公开投资于绿色技术研发,包括能源效率、可再生能源、核能、氢能和能源储存。然而,现有研究并未验证这些技术进步对可持续消费的具体贡献,这在文献中留下了明显的空白。因此,目前的研究验证了各种绿色技术研发对清洁生产的贡献。基于 2003 年至 2022 年的面板数据,本研究采用了新颖的工具变量量化回归技术,以获得最新的见解。研究揭示了每种能源创新变体对消费价格量化分布的异质性贡献。这种异质性效应凸显了每个国家不断变化的经济结构和不同的能源创新实施路径。因此,政策一致性是推动 CP 和确保环境兼容性的关键。可再生能源、核技术和能效技术的研发对 CP 的贡献最大。氢能和储能技术的研发对 CP 的贡献最小。因此,将更多资金分配给所有促进能源提升技术的研究与开发,以实现整体环境可持续性,是权宜之计。这种符合可持续发展目标 7 和 13 的积极综合政策将减少碳排放,同时提高国民收入。同时,应阻止孤立和不一致的资金投入,以促进整体环境进步。基于 SIVQR 的稳健性评估提供了确凿证据。
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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