A needs-based approach to construct an industrial energy efficiency network: a case study of South Korea
被引:0
|
作者:
Jiyong Park
论文数: 0引用数: 0
h-index: 0
机构:Korea Energy Economics Institute,Energy Environment Policy and Technology, Graduate School of Energy and Environment (KU
Jiyong Park
Taeyoung Jin
论文数: 0引用数: 0
h-index: 0
机构:Korea Energy Economics Institute,Energy Environment Policy and Technology, Graduate School of Energy and Environment (KU
Taeyoung Jin
Sung-Eun Chang
论文数: 0引用数: 0
h-index: 0
机构:Korea Energy Economics Institute,Energy Environment Policy and Technology, Graduate School of Energy and Environment (KU
Sung-Eun Chang
JongRoul Woo
论文数: 0引用数: 0
h-index: 0
机构:Korea Energy Economics Institute,Energy Environment Policy and Technology, Graduate School of Energy and Environment (KU
JongRoul Woo
机构:
[1] Korea Energy Economics Institute,Energy Environment Policy and Technology, Graduate School of Energy and Environment (KU
[2] Korea University,KIST Green School)
来源:
Energy Efficiency
|
2023年
/
16卷
关键词:
Energy efficiency;
Analytic hierarchical process;
Clustering;
Energy efficiency network;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
One of the major policies for improving industrial energy efficiency is networking companies by region and industrial sector to encourage them to share energy efficiency-related experiences and learn from one another and providing them with necessary support for energy efficiency investment. This method facilitates network management, but its effectiveness may be undermined by the heterogeneity of barriers perceived by the networked companies in the course of energy efficiency investment. Accordingly, this study proposes effective strategies for constructing energy efficiency networks with special reference to the main drivers of corporate investment in energy efficiency improvement for companies in South Korea, which is preparing to introduce related policies. We identified and quantified the major drivers of decision-making on energy efficiency investment in 32 Korean companies, using a hybrid method combining an analytic hierarchical process (AHP) and k-means clustering. The companies were divided into three subgroups with similar investment drivers. Significant differences existed in the decision-making steps of energy efficiency investment and major drivers considered important by the companies depending on corporate characteristics. Results also verified that classifying companies into homogeneous subgroups with similar investment drivers greatly contributes to constructing more effective networks and providing customized policy packages.
机构:
Korea Energy Econ Inst, Dist Heating & Power Res Team, 405-11 Jongga Ro, Ulsan 44543, South KoreaKorea Energy Econ Inst, Dist Heating & Power Res Team, 405-11 Jongga Ro, Ulsan 44543, South Korea
Park, Jiyong
Woo, JongRoul
论文数: 0引用数: 0
h-index: 0
机构:
Korea Univ, Grad Sch Energy & Environm, Energy Environm Policy & Technol, 145 Anam Ro, Seoul 02841, South KoreaKorea Energy Econ Inst, Dist Heating & Power Res Team, 405-11 Jongga Ro, Ulsan 44543, South Korea
Woo, JongRoul
Jin, Taeyoung
论文数: 0引用数: 0
h-index: 0
机构:
Korea Energy Econ Inst, Dist Heating & Power Res Team, 405-11 Jongga Ro, Ulsan 44543, South KoreaKorea Energy Econ Inst, Dist Heating & Power Res Team, 405-11 Jongga Ro, Ulsan 44543, South Korea