期刊
ECOLOGICAL ECONOMICS
卷 70, 期 12, 页码 2258-2267出版社
ELSEVIER
DOI: 10.1016/j.ecolecon.2011.07.014
关键词
Coevolution; Transition pathways; Low-carbon economy; Long-term industrial change
资金
- RCUK
- EPSRC
- E.On UK [EP/F022832/1]
- project 'Transition pathways to a low carbon economy'
- EPSRC [EP/F022832/1] Funding Source: UKRI
- ESRC [ES/G021694/1, RES-451-26-0545] Funding Source: UKRI
- Economic and Social Research Council [RES-451-26-0545, ES/G021694/1] Funding Source: researchfish
- Engineering and Physical Sciences Research Council [EP/F022832/1] Funding Source: researchfish
This paper proposes a coevolutionary framework for analysing a transition to a sustainable low-carbon economy, based on the coevolution of ecosystems, technologies, institutions, business strategies and user practices, within a multi-level micro-meso-macro perspective. This builds on and develops previous coevolutionary analyses of long-term technological and industrial change, and recent renewed interest within ecological economics on coevolutionary approaches. Previous work has analysed how the coevolution of technologies and institutions has led to the lock-in of current high-carbon energy systems; and how the coevolution of physical and social technologies and business strategies has brought significant material and welfare benefits to the minority of the world's population living in industrialised countries. The coevolutionary framework proposed here may be used to undertake: (1) detailed empirical analyses at a micro-meso level of the challenges relating to the innovation and adoption of particularly low-carbon technologies; (2) as a framework for analysing the multi-level interaction of social and technological elements within potential transition pathways to a low carbon energy system; (3) to assess the implications for economic growth and prosperity of a transition to a low carbon economy; and (4) to assist in the development of more formal, multi-level evolutionary economic models. (C) 2011 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据