Econometric estimation of deprivation cost functions: A contingent valuation experiment

被引:63
|
作者
Holguin-Veras, Jose [1 ]
Amaya-Leal, Johanna [2 ]
Cantillo, Victor [3 ]
Van Wassenhove, Luk N. [4 ]
Aros-Vera, Felipe [5 ]
Jaller, Miguel [6 ]
机构
[1] Rensselaer Polytech Inst, Dept Civil & Environm Engn, Ctr Infrastruct Transportat & Environm, 110 8th St, Troy, NY 12180 USA
[2] Iowa State Univ, Dept Supply Chain & Informat Syst, 2340 Gerdin Business Bldg, Ames, IA 50011 USA
[3] Fdn Univ Norte, Dept Civil & Environm Engn, Km 5 Via Puerto Colombia, Barranquilla, Colombia
[4] INSEAD, Humanitarian Res Grp, Fontainebleau, France
[5] Ohio Univ, Dept Ind & Syst Engn, 1 Ohio Univ, Athens, OH 45701 USA
[6] Univ Calif Davis, Dept Civil & Environm Engn, One Shields Ave, Davis, CA 95616 USA
基金
美国国家科学基金会;
关键词
CHOICE EXPERIMENTS; STATED PREFERENCE; HYPOTHETICAL BIAS;
D O I
10.1016/j.jom.2016.05.008
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This paper details research to design an estimation process for Deprivation Cost Functions (DCF) using Contingent Valuation, and to apply it econometrically to obtain a DCF for drinkable water. The paper describes both the process and results obtained. The results indicate that deprivation costs for drinkable water have a non-linear relation with deprivation times. The estimated DCFs provide a consistent metric that could be incorporated into humanitarian logistic mathematical models, eliminating the need to use proxy metrics, and providing a better way to assess the impacts of delivery options and actions. The research reported in this paper is the first attempt in the literature to produce estimates of the economic value of human suffering created by the deprivation of a critical supply or service. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:44 / 56
页数:13
相关论文
共 50 条