Optimization of water procurement decisions in an irrigation district: the role of option contracts


Autoria(s): Rey Vicario, Dolores; Calatrava Sierra, Javier; Garrido Colmenero, Alberto
Data(s)

01/01/2016

31/12/1969

Resumo

Water supply instability is one of the main risks faced by irrigation districts and farmers. Water procurement decision optimisation is essential in order to increase supply reliability and reduce costs. Water markets, such as spot purchases or water supply option contracts, can make this decision process more flexible. We analyse the potential interest in an option contract for an irrigation district that has access to several water sources. We apply a stochastic recursive mathematical programming model to simulate the water procurement decisions of an irrigation district?s board operating in a context of water supply uncertainty in south-eastern Spain. We analyse what role different option contracts could play in securing its water supply. Results suggest that the irrigation district would be willing to accept the proposed option contract in most cases subject to realistic values of the option contract financial terms. Of nine different water sources, desalination and the option contract are the main substitutes, where the use of either depends on the contract parameters. The contract premium and optioned volume are the variables that have a greater impact on the irrigation district?s decisions. Key words: Segura Basin, stochastic recursive programming, water markets, water supply option contract, water supply risk.

Formato

application/pdf

Identificador

http://oa.upm.es/40900/

Idioma(s)

eng

Publicador

E.T.S.I. Agrónomos (UPM)

Relação

http://oa.upm.es/40900/1/INVE_MEM_2015_223711.pdf

http://onlinelibrary.wiley.com/doi/10.1111/1467-8489.12110/abstract

info:eu-repo/semantics/altIdentifier/doi/10.1111/1467-8489.12110

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/embargoedAccess

Fonte

Australian Journal of Agricultural And Resource Economics, ISSN 1364-985X, 2016-01, Vol. 1, No. 60

Palavras-Chave #Agricultura
Tipo

info:eu-repo/semantics/article

Artículo

PeerReviewed