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Measuring the socio-economic footprint of the energy transition
Energy Transitions Pub Date : 2019-10-24 , DOI: 10.1007/s41825-019-00018-6
Xavier Garcia-Casals , Rabia Ferroukhi , Bishal Parajuli

The energy system is often treated as a self-contained system, disconnected from the broader socio-economic structures it is built upon. Understanding the enabling environment and structural elements will help to maximize the benefits of the transition and increase awareness of potential barriers and necessary adjustments along the way. IRENA has developed a methodology to measure the socio-economic footprint of energy transition roadmaps using the E3ME macro-econometric model, which evaluates the likely impacts in terms of gross domestic product (GDP), employment and human welfare. It is based on well-established historical databases and has a proven track record of policy applications. The presented socio-economic footprint analysis is based on the IRENA REmap energy transition roadmap 2018 that explores a higher deployment of low-carbon technologies, mostly renewable energy and energy efficiency. The results show that, with appropriate policies in place, reducing over 90% of the energy-related carbon dioxide emissions from the reference case via renewables and energy efficiency coupled with deep electrification of end-uses, results in consistently positive global GDP impacts across the period of analysis from 2018 to 2050. Across the world economy, the transition case leads to a relative increase of employment by 0.14% over the reference case throughout the analysed period from 2018 to 2050. In addition to GDP and employment growth, the energy transition can offer broader welfare gains. However, not all countries and regions around the world benefit equally, and just transition policies must be included to ensure all regions and communities are able to take advantage of the energy transition.

中文翻译:

衡量能源转型的社会经济足迹

能源系统通常被视为一个独立的系统,与它所基于的更广泛的社会经济结构脱节。了解有利的环境和结构性要素将有助于最大程度地提高过渡带来的好处,并提高人们对潜在障碍和一路进行必要调整的认识。IRENA开发了一种方法,该方法使用E3ME宏观计量经济学模型来衡量能源过渡路线图的社会经济足迹,该模型从国内生产总值(GDP),就业和人类福利方面评估可能的影响。它基于完善的历史数据库,并在政策应用方面拥有良好的往绩记录。提出的社会经济足迹分析基于IRENA REmap 2018能源过渡路线图,该路线图探索了低碳技术的更高部署,主要是可再生能源和能源效率。结果表明,在采取适当政策的情况下,通过可再生能源和能源效率再加上最终用途的深度电气化,可减少参考案例中与能源有关的二氧化碳排放量的90%以上,从而对全球GDP产生持续积极的影响。从2018年到2050年的分析时期。在整个经济分析中,整个过渡时期导致在整个2018年至2050年的分析时期内,相对于参考案例而言,就业相对增加了0.14%。除了GDP和就业增长之外,能源转型可以带来更大的福利收益。然而,
更新日期:2019-10-24
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