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Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/42397
DC FieldValueLanguage
dc.contributor.authorLaureti, Tizianait
dc.contributor.authorbenedetti, ilariait
dc.contributor.authorBranca, Giacomoit
dc.date.accessioned2021-01-20T09:54:34Z-
dc.date.available2021-01-20T09:54:34Z-
dc.date.issued2020it
dc.identifier.issn0038-0121it
dc.identifier.urihttp://hdl.handle.net/2067/42397-
dc.description.abstractWater used for irrigation is essential for global food production. Increased water scarcity, due to climate change, is a constraint to agricultural development, especially in arid and semi-arid areas. This increases pressure on agriculture which often manages water inefficiently and competes with other sectors for water use. Enhancing farmers’ production efficiency may lead to substantial water savings and conservation. Public sector is called to play a role in water governance and to introduce appropriate multilevel regulatory and incentive measures for better water management. This work applies a spatial stochastic frontier model to the case of high waterdemanding fruit and vegetable crops in the Apulia region of Southern Italy, where water is scarce due to semi-arid climate and erratic rainfall. Using cross-sectional data from the EU Farm Accountancy Data Network, this work incorporates firm specific heterogeneity into technical efficiency analysis and implements an autoregressive specification of the inefficiency component. Results support the hypothesis that spatial heterogeneity exists in on-farm efficiency of irrigated crop production and is adequately captured by the spatial stochastic frontier model approach. Technical efficiency of farms with similar structural and management characteristics greatly varies across crops and geographical areas, because of the different natural resource endowment and agro-climatic factors. Policies providing incentives to on-farm adoption of modern water-saving technologies and measures to promote small family farm activities could effectively contribute to water conservation goal, but they should be well-articulated to account for agriculture spatial diverseness.it
dc.format.mediumELETTRONICOit
dc.language.isoenmit
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.typearticle*
dc.identifier.doihttps://doi.org/10.1016/j.seps.2020.100856it
dc.identifier.urlhttps://www.sciencedirect.com/science/article/abs/pii/S0038012119305580?via%3Dihubit
dc.relation.journalSOCIO-ECONOMIC PLANNING SCIENCESit
dc.relation.firstpage1it
dc.relation.lastpage11it
dc.relation.numberofpages12it
dc.relation.article100856it
dc.relation.volume73it
dc.relation.issueVolume 73, February 2021, 100856it
dc.subject.scientificsector13/D2it
dc.subject.keywordsSpatial stochastic frontier model Spatial dependence Water scarcity Farm technical efficiency Agriculture sustainability Water policyit
dc.description.numberofauthors3it
dc.description.internationalnoit
dc.type.refereeREF_1it
dc.type.miur262it
item.fulltextWith Fulltext-
item.openairetypearticle-
item.cerifentitytypePublications-
item.grantfulltextrestricted-
item.languageiso639-1enm-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.journal.journalissn0038-0121-
crisitem.journal.anceE156522-
Appears in Collections:A1. Articolo in rivista
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