globalchange  > 气候变化与战略
DOI: 10.1016/j.enpol.2021.112214
论文题名:
Policy mixes and the policy learning process of energy transitions: Insights from the feed-in tariff policy and urban community solar in Hong Kong
作者: Mah D.N.-Y.; Cheung D.M.-W.; Leung M.K.H.; Wang M.Y.; Wong M.W.-M.; Lo K.; Cheung A.T.F.
刊名: Energy Policy
ISSN: 03014215
出版年: 2021
卷: 157
语种: 英语
中文关键词: Community solar ; Hong Kong ; Policy learning ; Policy mixes ; Renewable energy feed-in tariff
英文关键词: Solar power generation ; Community solar ; Feed-in tariff ; Hong-kong ; Learning process ; Policy instruments ; Policy learning ; Policy makers ; Policy mix ; Renewable energy feed-in tariff ; Tariff policy ; Decision making
英文摘要: Effectiveness of renewable energy feed-in tariff (FiT) varies across the world. Designing policy mixes of a package of policy instruments to optimise the normative effect of FiT is critical but has remained challenging and under-studied. This paper brings together the key concepts of policy mixes and policy learning to examine how the effectiveness of renewable energy policies can be improved, with reference to a recent FiT policy in Hong Kong focusing two prospective solar communities. Based on 99 in-depth interviews and workshop discussions involving 57 householders, we found that FiT was an effective policy in stimulating growth of new solar photovoltaic (PV) projects in some sub-sectors in Hong Kong, but has not yet mainstreamed solar at the community and city levels. The FiT was insufficient to address multiple non-economic barriers perceived by householders. The limited policy impacts of the FiT indicated that policy makers were able to attain technical learning, but faced major constraints in advancing to conceptual and social forms of policy learning. This paper concludes that policy makers should give closer attention to policy mixes and advanced forms of policy learning than choosing a single “most effective” policy instrument to unlock the under-used community solar potentials. © 2021 Elsevier Ltd
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/167914
Appears in Collections:气候变化与战略

Files in This Item:

There are no files associated with this item.


作者单位: Department of Geography, Hong Kong Baptist University, Hong Kong; Asian Energy Studies Centre, Hong Kong Baptist University, Hong Kong; Ability R&D Energy Research Centre, School of Energy and Environment, City University of Hong Kong, Hong Kong; David C. Lam Institute for East-West Studies, Hong Kong Baptist University, Hong Kong

Recommended Citation:
Mah D.N.-Y.,Cheung D.M.-W.,Leung M.K.H.,et al. Policy mixes and the policy learning process of energy transitions: Insights from the feed-in tariff policy and urban community solar in Hong Kong[J]. Energy Policy,2021-01-01,157
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Mah D.N.-Y.]'s Articles
[Cheung D.M.-W.]'s Articles
[Leung M.K.H.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Mah D.N.-Y.]'s Articles
[Cheung D.M.-W.]'s Articles
[Leung M.K.H.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Mah D.N.-Y.]‘s Articles
[Cheung D.M.-W.]‘s Articles
[Leung M.K.H.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.