A network-based modeling framework for stakeholder analysis of China’s energy conservation campaign
Feng Fu,
Wen Feng,
Zheng Li,
Edward F. Crawley and
Weidou Ni
Energy, 2011, vol. 36, issue 8, 4996-5003
Abstract:
Historically, many resource conservation campaigns failed because they paid inadequate attention to the interests of stakeholders. As a consequence, stakeholder analysis has gained increasing attention in order to avoid potential policy failures in the related fields. However, the stakeholder analysis of China’s energy conservation campaign still has been under-developed. This paper proposes a network-based modeling framework to facilitate the development of stakeholder analysis of China’s energy conservation campaign. Given the proposed framework, an illustrative case study is provided to elaborate how to integrate a set of techniques to further develop a quantitative model, as well as to demonstrate the practicability of the proposed framework. The results derived from the case study shows that the proposed framework and the model can be used as analytical tools to improve the government’s policy-making process in term of providing a systematic perspective of stakeholder interrelations.
Keywords: Energy conservation; Policy-making; Stakeholder analysis; Network-based modeling (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544211003690
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:36:y:2011:i:8:p:4996-5003
DOI: 10.1016/j.energy.2011.05.044
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().