상향식-하향식 DEA 모형을 이용한 온실가스 감축량 배분

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.