Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7437011 | Omega | 2015 | 12 Pages |
Abstract
As environment constraints on economic growth are strengthening, Carbon Emissions Abatement (CEA) allocation becomes a significant issue that draws academia׳s attention. In the literature, the Data Envelopment Analysis (DEA) technique has been applied to obtain CEA allocation with centralized models. Nevertheless, a centralized allocation plan suffers from an implementation difficulty in persuading decision-making units (DMUs) into an agreement. In this paper, we propose a new two-step method to mitigate this side effect. In the first step, we provide improved DEA-based centralized allocation models under the assumptions of constant returns-to-scale (CRS) and variable returns-to-scale (VRS) respectively and in the second step, two compensation schemes are developed for centralized allocation plans. An empirical application to the countries in Organization for Economic Co-operation and Development (OECD) is presented to elaborate the main idea.
Keywords
Related Topics
Social Sciences and Humanities
Business, Management and Accounting
Strategy and Management
Authors
Chenpeng Feng, Feng Chu, Jingjing Ding, Gongbing Bi, Liang Liang,