Abstract
Due to natural and anthropogenic factors, water scarcity became a source of concern in many parts of the world as it affects people and local economies. International and national strategies are adopted to reduce the impact of water shortage and to preserve it. Among these measures, the focus on on-farm water management strategies through the improvement of irrigation efficiency is a relevant solution for water saving. This work aims to assess the economic efficiency of farmers using the Data Envelopment Analysis (DEA) approach, in the Lebna Dam irrigated perimeter in Nabeul, Tunisia over the period 2011–2014. In this study, we assessed the efficiency of producers, Total Factor Productivity (TFP), and potential gains from horizontal integration. The main findings are that (i) DEA is relevant to identify crops that have a positive impact on efficiency, (ii) TFP using Malmquist Productivity Index shows 2% gains in productivity and (iii) considering two scenarios of merger of lands, we found an overall potential improvement in efficiency. We conclude that water savings are possible with an increased agricultural productivity, promoting thereby a more efficient water use.
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Data availability
The datasets analyzed during the current study are available from the corresponding author on reasonable request.
Notes
It is possible to use an output-oriented model, however the endogenous variables in our context are the inputs. In addition, the difference in results, if any, between the two versions would be minor (Murillo-Zamorano 2004).
References
Aigner DJ, Chu SF (1968) On estimating the industry production function. Am Econ Rev 58:826–839
Aigner DJ, Lovell CAK, Schmidt P (1977) Formulation and estimation of stochastic frontier production functions. J Econom 6:21–37
Banker R, Charnes A, Cooper WW (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manag Sci 30(9):1078–1092. https://doi.org/10.1287/mnsc.30.9.1078
Battese GE, Coelli TJ (1995) A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empir Econ 20:325–332. https://doi.org/10.1007/BF01205442
Ben Mechlia N, Oweis T, Masmoudi M, Mekki I, Ouessar M, Zante P, Zekri S (2008) Conjunctive use of rain and irrigation water from hill reservoirs for agriculture in Tunisia. On-farm water husbandry, Research Report No. 6, ICARDA, Aleppo, Syria
Benalaya A, Souissi A, Makhlouf M, Ismail Y, Abdelkefi BH, Hammami R, Stambouli T, Chebil A, Ghezal L, Frija A (2015) Recueil des fiches technico-économiques observées des principales cultures pratiquées en tunisie tome 1. Projet de Recherche-développement «Eau Virtuelle et Sécurité Alimentaire en Tunisie: du Constat à l’Appui au Développement (EVSAT-CAD)
Bernier MH, Madramooto CA, Mehdi BB, Gollamudi A (2010) Assessing on-farm irrigation water use efficiency in southern Ontario. Can Water Resour J 35(2):115–130. https://doi.org/10.4296/cwrj3502115
Bjurek H (1996) The Malmquist total factor productivity index. Scand J Econ 98(2):303–313. https://doi.org/10.2307/3440861
Bogetoft P, Otto L (2011) Benchmarking with DEA and SFA, R. Springer, New York
Bogetoft P, Otto L (2018) Benchmarking with DEA and SFA, R package version 0.27
Bogetoft P, Wang D (2005) Estimating the potential gains from mergers. J Prod Anal 23(2):145–171. https://doi.org/10.1007/s11123-005-1326-7
BPEH, Bureau de la Planification et des Equilibres Hydrauliques (2020) Rapport National du Secteur de l’Eau de 2020. Ministère de l’Agriculture, des Ressources Hydrauliques et de la Pêche
CEDARE (2014) Tunisia water sector M&E rapid assessment report, Monitoring & Evaluation for Water In North Africa (MEWINA) Project. Water Resources Management Program, CEDARE
Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Oper Res 2(6):429–444. https://doi.org/10.1016/0377-2217(78)90138-8
Chebil A, Frija A (2016) Impact of improving water-use efficiency on its valuation: the case of irrigated wheat production in Tunisia. Afr J Agric Resour Econ 11(2):131–140
Chebil A, Frija A, Abdelkafi B (2012) Irrigation water use efficiency in collective irrigated schemes of Tunisia: determinants and potential irrigation cost reduction. Agric Econ Rev 13(1):39–48. https://doi.org/10.22004/ag.econ.253493
Chebil A, Frija I, Bahri W (2014a) Irrigation water efficiency in wheat production in Chbika (Tunisia): parametric versus non parametric comparisons. Agric Econ Rev 15(1):72–85. https://doi.org/10.22004/ag.econ.253677
Chebil A, Abbas K, Frija A (2014b) Water use efficiency in irrigated wheat production systems in central Tunisia: a stochastic data envelopment approach. J Agric Sci 6(2):63–71. https://doi.org/10.5539/jas.v6n2p63
Chebil A, Frija A, Thabet C (2015) Economic efficiency measures and its determinants for irrigated wheat farms in Tunisia: a DEA approach. New Medit 2:32–38
Chemak F, Boussemart JP, Jacquet F (2010) Farming system performance and water use efficiency in the Tunisian semi-arid region: data envelopment analysis approach. Int Trans Oper Res 17:381–396. https://doi.org/10.1111/j.1475-3995.2009.00736.x
Coelli TJ, Prasada Rao DS (2005) Total factor productivity growth in agriculture: a Malmquist index analysis of 93 countries, 1980–2000. Agric Econ 32(1):115–134. https://doi.org/10.1111/j.0169-5150.2004.00018.x
Dhehibi B, Lachaal L, Elloumi M, Messaoud EB (2007) Measuring irrigation water use efficiency using stochastic production frontier: an application on citrus producing farms in Tunisia. Afr J Agric Resour Econ 2(1):1–15. https://doi.org/10.22004/ag.econ.57013
Egilmez G, McAvoy D (2013) Benchmarking road safety of U.S. states: a DEA-based Malmquist productivity index approach. Accid Anal Prev 53:55–64. https://doi.org/10.1016/j.aap.2012.12.038
FAO and UN Water (2021) Progress on change in water-use efficiency. Global status and acceleration needs for SDG indicator 6.4.1. 2021. Rome. https://doi.org/10.4060/cb6413en
Farrell M (1957) The measurement of productive efficiency. J R Stat Soc Ser A Stat Soc 120(3):253–290. https://doi.org/10.2307/2343100
Frija A, Chebil A, Speelman S, Buysse J, Van Huylenbroeck G (2009) Water use and technical efficiencies in horticultural greenhouses in Tunisia. Agric Water Manag 96(11):1509–1516. https://doi.org/10.1016/j.agwat.2009.05.006
Frija A, Wossink A, Buysse J, Speelman S, Van Huylenbroeck G (2011) Irrigation pricing policies and its impact on agricultural inputs demand in Tunisia: A DEA-based methodology. J Environ Manag 92(9):2109–2118. https://doi.org/10.1016/j.jenvman.2011.03.013
Gohari A, Mirchi A, Madani K (2017) System dynamics evaluation of climate change adaptation strategies for water resources management in Central Iran. Water Resour Manag 31:1413–1434. https://doi.org/10.1007/s11269-017-1575-z
Hamed Y, Hadji R, Redhaounia B, Zighmi K, Bâali F, El Gayar A (2018) Climate impact on surface and groundwater in North Africa: a global synthesis of findings and recommendations. Euro-Mediterr J Environ Integr 3:25. https://doi.org/10.1007/s41207-018-0067-8
Hatfield JL, Dold C (2019) Water-use efficiency: advances and challenges in a changing climate. Front Plant Sci 10:103. https://doi.org/10.3389/fpls.2019.00103
Hillel D (1997) Small-scale irrigation for arid zones. Principles and options. FAO development series vol. 2
Kamiyama H, Kashiwagi K, Kefi M (2016) Technical efficiency among irrigated and non-irrigated olive orchards in Tunisia. Afr J Agric Res 11(45):4627–4638. https://doi.org/10.5897/AJAR2016.10835
Kamiyama H, Kefi M, Kashiwagi K (2021) Irrigation water use efficiency in olive trees in Kairouan, Tunisia. Asian J Agric Rural Dev 11(3):255–261. https://doi.org/10.18488/journal.ajard.2021.113.255.261
Kefi M, Kashiwagi K, Kawachi A, Kamiyama H, Ben Amor M (2017) Assessment of ecosystem services in watershed in Tunisia and its impact on water use: case study Lebna watershed. Working Paper No.3. ARENA, University of Tsukuba, Japan, pp 1–8
Lilienfeld A, Asmild M (2007) Estimation of excess water use in irrigated agriculture: a data envelopment analysis approach. Agric Water Manag 94(1–3):73–82. https://doi.org/10.1016/j.agwat.2007.08.005
Malana NM, Malano HM (2006) Benchmarking productive efficiency of selected wheat areas in Pakistan and India using data envelopment analysis. Irrig Drain 55(4):383–394. https://doi.org/10.1002/ird.264
Mardani A, Zavadskas EK, Streimikiene D, Jusoh A, Khoshnoudi M (2017) A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency. Renew Sustain Energy Rev 70:1298–1322. https://doi.org/10.1016/j.rser.2016.12.030
Murillo-Zamorano LR (2004) Economic efficiency and frontier techniques. J Econ Surv 18(1):33–77
OECD (2014) Water Governance in Tunisia: overcoming the challenges to private sector participation, OECD studies on water. OECD Publishing, Paris
Olesen OB, Petersen NC (2016) Stochastic data envelopment analysis—a review. Eur J Oper Res 251(1):2–21
Pan Z, Wang Y, Zhou Y, Wang Y (2020) Analysis of the water use efficiency using super-efficiency data envelopment analysis. Appl Water Sci 10:139. https://doi.org/10.1007/s13201-020-01223-1
R Core Team (2020) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/. Accessed 12 Feb 2021
Sánchez JJV (2018) Malmquist index with time series to data envelopment analysis. In: Multi-criteria methods and techniques applied to supply chain management. IntechOpen. https://doi.org/10.5772/intechopen.74571
Simar L, Wilson PW (1998) Sensitivity analysis of efficiency scores: How to bootstrap in nonparametric frontier models. Manag Sci 1(44):49–62. https://doi.org/10.1287/mnsc.44.1.49
Simar L, Wilson PW (2000) A general methodology for bootstrapping in non-parametric frontier models. J Appl Stat 6(27):779–802. https://doi.org/10.1080/02664760050081951
STUDI International/ GKW (2021) Elaboration de la vision et de la stratégie du secteur de l’eau à l’horizon 2050 pour la Tunisie, EAU 2050. Etape 3: Réalisation des Etudes Prospectives Multithématiques et Etablissement de Modèles Prévisionnels Offre-Demande (Bilans), Volume I: Rapport de Prospective, Version Définitive
United Nations World Water Assessment Programme - WWAP (2019) The United Nations world water development report 2019: leaving no one behind. UNESCO, Paris
Wan B, Zhou E (2021) Research of total factor productivity and agricultural management based on Malmquist-DEA modeling. Math Probl Eng 2021:1–8. https://doi.org/10.1155/2021/2828061. (Article ID 2828061)
You H, Jin H, Khaldi A, Kwak M, Lee T, Khaine I, Jang J, Lee H, Kim I, Ahn T, Song J, Song Y, Khorchani A, Stiti B, Woo S (2016) Plant diversity in different bioclimatic zones in Tunisia. J Asia Pac Biodivers 9:56–62
Zekri S, Easter W (2005) Estimating the potential gains from water markets: a case study from Tunisia. Agric Water Manag 72(3):161–175. https://doi.org/10.1016/j.agwat.2004.09.018
Acknowledgements
Special thanks to the members of GDA Lebna and local farmers for their cooperation during data collection.
Funding
This research was supported by the Japan Society for the Promotion of Science (JSPS): Grant-in-Aid for Scientific Research (B), No. 20H03082, Development of Agro-food Industrial Clusters by Establishment of Innovative Value Chain.
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Data collection: MK, KK; design of the study: CD, MK; data analysis: CD; first draft: All authors; funding acquisition: KK.
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Dridi, C., Kefi, M. & Kashiwagi, K. Technical efficiency in irrigated farming in Nabeul, Tunisia: total factor productivity and horizontal integration. Sustain. Water Resour. Manag. 9, 86 (2023). https://doi.org/10.1007/s40899-023-00869-4
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DOI: https://doi.org/10.1007/s40899-023-00869-4