Carbon emissions abatement (CEA) allocation and compensation schemes based on DEA

Chenpeng Feng (1, 2) , Feng Chu (1) , Jingjing Ding (3) , Gongbing Bi (2) , Liang Liang (2)

1 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
2 School of Management
3 School of Management

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.

Mots clés: Carbon Emissions Abatement (CEA) allocation; Gross Domestic Product (GDP); Two-step method; Data Envelopment Analysis (DEA); Compensation scheme

Domaines: Recherche opérationnelle [math.OC]

Chenpeng Feng, Feng Chu, Jingjing Ding, Gongbing Bi, Liang Liang. Carbon emissions abatement (CEA) allocation and compensation schemes based on DEA. Omega, 2015, 53, pp.78--89. ⟨10.1016/j.omega.2014.12.005⟩. ⟨hal-01418942⟩