绿色增长还是去增长?评价可持续性技术的潜力

Q4 Economics, Econometrics and Finance Economics and Policy of Energy and the Environment Pub Date : 2021-11-01 DOI:10.3280/efe2021-001002
P. Pyakurel
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引用次数: 2

摘要

关于绿色增长和去增长的激烈辩论仍在继续。技术是这场辩论的焦点,因为绿色增长和去增长的倡导者对技术对环境和社会的作用和影响有着相互矛盾的看法。绿色增长的倡导者认为,技术可以允许无限增长,同时确保环境和社会的可持续性,而反增长的倡导者认为,技术进步不能允许无限增长。这些观点在很大程度上是基于意见,而不是基于客观和系统的分析,因为目前还不存在评估技术对环境和社会的作用和影响的全面工具。本文通过分析技术、环境、经济和社会维度之间的相互作用,开发了一个急需的框架来全面评估技术对环境和社会的作用。提出了评价技术特征的关键参数,并审查了技术评价的政策影响。最后,展望了未来可能的研究方向。本文提出的技术评价方法有可能显著推进绿色增长与去生长的辩论。
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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Green growth or degrowth? Evaluating the potential of technology for sustainability
The raging debate between green growth and degrowth continues. Technology is a focal point in this debate as the advocates of green growth and degrowth have contradictory views on the roles and impacts of technology on environment and society. Green growth advocates believe that technology can allow indefinite growth while simultaneously ensuring environmental and societal sustainability, whereas the degrowth advocates argue that technological progress cannot allow indefinite growth. These views are largely opinion based rather than informed by objective and systematic analyses because comprehensive tools to evaluate the roles and impacts of technology on environment and society do not yet exist. This paper develops a much-needed framework to comprehensively evaluate the roles of technology on environment and society by analysing the interactions among the dimensions of technology, environment, economy and society. Key parameters that characterise technology are proposed for its evaluation and the policy implications of technological evaluations are examined. Finally, potential future research directions are explored. The technological evaluation approach proposed in this paper has a potential to significantly advance the green growth versus degrowth debate.
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来源期刊
Economics and Policy of Energy and the Environment
Economics and Policy of Energy and the Environment Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
0.50
自引率
0.00%
发文量
8
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