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국내기업 에너지효율 투자 의사결정 단계별 주요 동인의 상대적 중요도 분석 : 퍼지계층분석을 활용하여Assessing Relative Importance of Energy-Efficiency Investment Drivers in Decision Making Process of Korean Manufacturing Enterprises : A Fuzzy AHP Approach

Other Titles
Assessing Relative Importance of Energy-Efficiency Investment Drivers in Decision Making Process of Korean Manufacturing Enterprises : A Fuzzy AHP Approach
Authors
박재형우종률박지용
Issue Date
2022
Publisher
한국기후변화학회
Keywords
Energy Efficiency; Entrepreneurial Decision-Making; Drivers; Fuzzy AHP; GHG Emissions
Citation
한국기후변화학회지, v.13, no.4, pp.429 - 440
Indexed
KCI
Journal Title
한국기후변화학회지
Volume
13
Number
4
Start Page
429
End Page
440
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/146784
ISSN
2093-5919
Abstract
Energy efficiency is considered a priority because it is not only a management target for companies, but also an effective means for the government of Korea to reduce greenhouse gas emissions and implement carbon neutrality. For this, it is necessary to identify in detail drivers that have a positive impact on energy efficiency-related investments by companies and shift to the development of sophisticated policies that can promote these drivers. Under these circumstances, this study contributes to providing basic data that the government can use as reference data for developing policies to improve corporate energy efficiency by determining drivers that can lead to investments for improving energy efficiency at each stage of corporate decision-making. To this end, we first assumed the company’s decision-making process leading to energy efficiency investments and then selected drivers that have a positive effect on each stage following a literature review. Further, since the government is paying considerable attention to energy efficiency as a means of implementing carbon neutrality, we divided the responding companies on the survey into large emitters of GHGs and small emitters and analyzed the results. Additionally, to improve the reliability of the results, we calculated the relative importance of each driver by applying a fuzzy analytic hierarchy process. We found that an energy price-related driver is more important for large emitters of GHGs. By contrast, we found that small emitters of GHGs placed increased importance on energy audit-related driver, energy efficiency policy-related driver, and technology identification driver. This study provides a framework for the government to take more sophisticated approaches toward developing policies for corporate energy efficiency improvement by identifying drivers that have a positive impact on the implementation of energy efficiency investments at each stage of the corporate decision-making process.
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Graduate School of Energy and Environment (KU-KIST GREEN SCHOOL) > Department of Energy and Environment > 1. Journal Articles

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