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在2050年能源效率愿景下重新审视可持续发展目标7:新经济模式和大规模数字化在经合组织中的作用。

Revisiting SDG-7 under energy efficiency vision 2050: the role of new economic models and mass digitalization in OECD.

作者信息

Yu Mingzhe, Kubiczek Jakub, Ding Kai, Jahanzeb Agha, Iqbal Nadeem

机构信息

School of International Economics and Management, Beijing Technology and Business University, Beijing, China.

Department of Economic and Financial Analysis, University of Economics in Katowice, 40-287 Katowice, Poland.

出版信息

Energy Effic. 2022;15(1):2. doi: 10.1007/s12053-021-10010-z. Epub 2021 Dec 30.

DOI:10.1007/s12053-021-10010-z
PMID:34980948
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8716332/
Abstract

Policies on reducing energy demand should incorporate the newly formed economic models, digitalization, and consumer awareness trends. Therefore, this study analyzes the interaction of the three trends with SDG7 under energy efficiency vision 2050, measuring the energy efficiency of OECD from 2005 to 2017 to enable this inclusion. In this context, four new trends expected to shape future energy demand are identified through extensive consultation with experts from South Asian countries by developing future power demand for the year of 2050. Consequently, the results show a crucial impact of such trends on a future power demand that exceeds the economic potential of techno. Hence, the best-case scenario, "New Trends Efficient," reduces final energy demand by 78% compared to the South Asian "Baseline" scenario in 2050, whereas the "Worst Case" scenario increases final energy demand by 35%. Therefore, Austria and Korea have the highest energy efficiency score of 0.76 and 0.75, whereas Canada and Chile have the lowest energy efficiency score of 0.41 and 0.42. This paper discusses the ability of digitalization and energy consumer awareness trends in shaping the future energy demand based on SDG 7, emphasizing the importance of energy efficiency vision 2050 in policymaking for effective acquisition.

摘要

减少能源需求的政策应纳入新形成的经济模式、数字化和消费者意识趋势。因此,本研究分析了这三种趋势在2050年能源效率愿景下与可持续发展目标7的相互作用,对经合组织2005年至2017年的能源效率进行了测量,以实现这种纳入。在此背景下,通过与南亚国家的专家进行广泛磋商,确定了预计将塑造未来能源需求的四个新趋势,并预测了2050年的未来电力需求。结果表明,这些趋势对未来电力需求有着至关重要的影响,其影响程度超过了技术的经济潜力。因此,在最佳情况下,即“新趋势高效”情景下,与2050年南亚“基线”情景相比,最终能源需求将减少78%,而在“最坏情况”情景下,最终能源需求将增加35%。因此,奥地利和韩国的能源效率得分最高,分别为0.76和0.75,而加拿大和智利的能源效率得分最低,分别为0.41和0.42。本文基于可持续发展目标7,探讨了数字化和能源消费者意识趋势对未来能源需求的塑造能力,强调了2050年能源效率愿景在有效获取政策制定中的重要性。

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2
Evaluating green innovation and performance of financial development: mediating concerns of environmental regulation.评估金融发展的绿色创新和绩效:环境规制的中介关切。
Environ Sci Pollut Res Int. 2021 Oct;28(40):57386-57397. doi: 10.1007/s11356-021-14499-w. Epub 2021 Jun 5.
3
Assessing the perceived impact of exploration and production of hydrocarbons on households perspective of environmental regulation in Ghana.
评估在加纳,家庭对环境法规的看法,在碳氢化合物的勘探和生产方面的感知影响。
Environ Sci Pollut Res Int. 2021 Feb;28(5):5359-5371. doi: 10.1007/s11356-020-10880-3. Epub 2020 Sep 22.
4
The role of environmental entrepreneurship for sustainable development: Evidence from 35 countries in Sub-Saharan Africa.环境创业对可持续发展的作用:来自撒哈拉以南非洲 35 个国家的证据。
Sci Total Environ. 2020 Nov 1;741:140132. doi: 10.1016/j.scitotenv.2020.140132. Epub 2020 Jun 11.
5
Assessing energy security in Africa based on multi-dimensional approach of principal composite analysis.基于主成分复合分析的多维方法评估非洲能源安全。
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9
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Environ Sci Pollut Res Int. 2019 Apr;26(12):12505-12521. doi: 10.1007/s11356-019-04534-2. Epub 2019 Mar 8.