期刊
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
卷 53, 期 -, 页码 78-89出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.omega.2014.12.005
关键词
Carbon Emissions Abatement (CEA) allocation; Gross Domestic Product (GDP); Two-step method; Data Envelopment Analysis (DEA); Compensation scheme
资金
- National Natural Science Funds of China [71171181, 71301155]
- Fundamental Research Funds for the Central Universities [WK2040160008]
- State Scholarship Fund of China (Cai Yuanpei Program) [[2012]6021]
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. (C) 2014 Elsevier Ltd. All rights reserved.
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