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상향식-하향식 DEA 모형을 이용한 온실가스 감축량 배분Allocation of Green House Gas Reduction Targets Using Top-Down Bottom-Up DEA Model

Other Titles
Allocation of Green House Gas Reduction Targets Using Top-Down Bottom-Up DEA Model
Authors
민대기정광헌
Issue Date
Sep-2018
Publisher
한국경영과학회
Keywords
DEA(Data Envelopment Analysis); GHG(Green House Gas); Environmental Efficiency
Citation
경영과학, v.35, no.3, pp.53 - 64
Journal Title
경영과학
Volume
35
Number
3
Start Page
53
End Page
64
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/4316
DOI
10.7737/KMSR.2018.35.3.053
ISSN
1225-1100
Abstract
In this paper, we develop a model that adjusts the GHG (Green House Gas) reduction targets by taking account of the bottom-up allocation approach in addition to the top-down allocations. Using environmental efficiency instead of the amount of GHG emissions, we propose a DEA (Data Envelopment Analysis)-based model to allocate the reduction target. By comparing the top-down allocations with the bottom-up allocations, we identify how much each company can reduce or should require the amount of GHG emission permits. In this regard, the purpose of this research includes the development of mathematical models, collecting data sets for empirical analysis, and showing managerial implications. The top-down model allocates the GHG reductions into companies while maximizing the total efficiency so as to accomplish fair allocations. The bottom-up model determines the maximum amount of GHG reductions with aims to maximize the efficiency of individual company. We perform empirical analysis to see differences between the top-down and bottom-up allocations. We obtain data from 36 Korean domestic companies in steel industry. Our empirical analysis provides the guideline how much each company should buy or can sell GHG emissions.
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