1 4) 47 DEA GDP CO 2 @@@@@@@@@@@@@@@@@@@@@@@@ : DEASBM@@@@@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@@@@@@@@@@@ 3 GDP @@@@@@@@@@@@@@@@@@@@@@ 2 3 4 3 5 @@@@@@@@@@@@@@@@@@@ 2. DEA DEA Charnes, Cooper, and Rhodes [2] @@@@@@@@@@@@@@@@@ (DMU= Decision making unit:) DEA Cooper et al. [3] DEA 811-1203 1-4-1 Many manufacturing firms cause environmental problems such as greenhouse gas emissions in the process of carrying out their production activities. In evaluating the performance of prefectures, it is of great importance to consider curbing greenhouse gas emissions. The purpose of this paper is threefold. First, we introduce an environmental dynamic-network slacks-based model that enables us to evaluate the performances of 47 Japanese prefectures. In this model, the prefectures are assumed to produce the by-product of CO 2 as well as the main good output of gross domestic product by utilizing four parallel sectors (the human capital, physical capital, energy consumption and intermediate input sectors), each of which also employs the carry-over product from the previous period and a new carry-over product to the next period. Second, we explore the factors affecting the overall efficiency using a bootstrap regression procedure. Finally, we offer some policy suggestions.
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