Irrigation pricing policies and its impact on agricultural inputs demand in Tunisia: A DEA-based methodology
This paper estimates farmers’ individual irrigation water demand functions employing the information hidden in individual farmers’ technical efficiency. This information is extracted through the development of a new deductive methodology based on inverse Data Envelopment Analysis (DEA) models. The e...
| Publicado en: | Journal of Environmental Management Vol. 92; no. 9; pp. 2109 - 2119 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Academic Press Inc.
Sep2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=61162328&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 61162328 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: Sep2011 vid: 92 iid: 9 pid: 735 pub: Academic Press Inc. artinfo: ui: 61162328 10.1016/j.jenvman.2011.03.013 ppf: 2109 ppct: 10 formats: tig: atl: Irrigation pricing policies and its impact on agricultural inputs demand in Tunisia: A DEA-based methodology aug: au: Frija, Aymen Wossink, Ada Buysse, Jeroen Speelman, Stijn Van Huylenbroeck, Guido affil: Department of Agricultural Economics, Gent University, Coupure Links 653, 9000 Gent, Belgium The University of Manchester, Economics, School of Social Sciences, Arthur Lewis Building, Manchester M13 9PL, UK su: Tunisia Government policy Economics Water demand management Irrigation farming Research methodology Data envelopment analysis Water use sug: subj: Government policy Economics Tunisia Water demand management Irrigation farming Research methodology Data envelopment analysis Water use keyword: Demand management Economic instruments Efficiency Irrigation Demand management Economic instruments Efficiency Irrigation ab: This paper estimates farmers’ individual irrigation water demand functions employing the information hidden in individual farmers’ technical efficiency. This information is extracted through the development of a new deductive methodology based on inverse Data Envelopment Analysis (DEA) models. The empirical results for Tunisia show that farmers who are more technically efficient have less elastic irrigation water demand functions; these farmers would adjust demand only to a limited extent and they can afford the water price. In contrast, water pricing significantly affects those that are less efficient. These farmers shift towards a different cropping pattern using significantly less water and more land when the price of water increases. Thus, higher water prices would threaten this category’s livelihood if their efficiency is not improved. However, if the technical efficiency of these farmers were to improve, then it would be more difficult to reach water saving objectives since their demand will also become highly inelastic. The findings have important implications in view of the objectives of Tunisia water policy which include: full cost recovery, continuity of the irrigation activity, and water saving at the national level. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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