Allocating the costs of cleaning a river: expected responsibility versus median responsibility

Date

2020

Authors

Gómez Rúa, María
Molis Bañales, Elena

Director

Publisher

Springer
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión aceptada / Onetsi den bertsioa

Project identifier

  • AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-093542-B-I00/ES/ recolecta
  • AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/ECO2017-91589-EXP/
  • MINECO//ECO2014-52616-R/ES/ recolecta
  • AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ECO2017-82241-R/ES/ recolecta
  • MINECO//ECO2015-67519-P/ES/ recolecta
  • AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-110783GB-I00/ES/ recolecta
Impacto

Abstract

We consider the problem of cleaning a transboundary river, proposed by Ni and Wang (Games Econ Behav 60:176–186, 2007). A river is modeled as a segment divided into subsegments, each occupied by one region, from upstream to downstream. The waste is transferred from one region to the next at some rate. Since this transfer rate may be unknown, the social planner could have uncertainty over each region’s responsibility. Two natural candidates to distribute the costs in this setting would be the method that assigns to each region its expected responsibility and the one that assigns to each region its median responsibility. We show that the latter is equivalent to the Upstream Responsibility method (Alcalde-Unzu et al. in Games Econ Behav 90:134–150, 2015) and the former is a new method that we call Expected Responsibility. We compare both solutions and analyze them in terms of a new property of monotonicity.

Description

Keywords

Cost allocation, Expected responsibility, Median responsibility, Monotonicity, Waste river

Department

Economía / Ekonomia

Faculty/School

Degree

Doctorate program

item.page.cita

item.page.rights

© Springer-Verlag GmbH Germany, part of Springer Nature 2020

Los documentos de Academica-e están protegidos por derechos de autor con todos los derechos reservados, a no ser que se indique lo contrario.