IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2022i1p94-d1017449.html
   My bibliography  Save this article

Trade-Off between Land Use Pattern and Technical Efficiency Performance: Evidence from Arable Crop Farming in Tunisia

Author

Listed:
  • Bouali Guesmi

    (Center for Agro-Food Economics and Development (CREDA-UPC-IRTA), Parc Mediterrani de la Tecnologia, Edifici ESAB, 08860 Barcelona, Spain)

  • Ahmed Yangui

    (Agricultural Economic Laboratory (LER), National Institute of Agronomic Research of Tunisia INRAT, University of Carthage, Ariana 1004, Tunisia)

  • Ibtissem Taghouti

    (Center for Agro-Food Economics and Development (CREDA-UPC-IRTA), Parc Mediterrani de la Tecnologia, Edifici ESAB, 08860 Barcelona, Spain
    Laboratory of Management and Valorization of Forest Resources, National Research Institute of Rural Engineering, Water and Forestry, University of Carthage, Rue Hédi EL Karray El Menzah IV, 1004 Tunis BP 10, Ariana 2080, Tunisia)

  • José Maria Gil

    (Center for Agro-Food Economics and Development (CREDA-UPC-IRTA), Parc Mediterrani de la Tecnologia, Edifici ESAB, 08860 Barcelona, Spain)

Abstract

Cereal, oilseed, and protein (COP) production is an important sector contributing to Sustainable Development Goals (SDGs) in Tunisia. COP farms often diversify their production patterns to stabilize their income sources and spread production risk across crops. However, crop diversity may entail an inefficient use and management of resources to achieve the desired output. In addition, the COP sector still shows a low productivity level, depending on weather conditions in Tunisia. In this context, this study aimed to assess the relationship between the land use pattern and efficiency performance of farms. We used data envelopment analysis (DEA) in the presence of uncertainty based on state-contingent techniques. This approach has not previously been used to examine the links between crop pattern and efficiency. We found that specialized COP farms, on average, exhibited higher technical efficiency levels than those adopted mix cropping systems (83% and 60%, respectively), indicating an important margin to reduce inefficiency. Nevertheless, both diversified and specialized farms could reduce their inefficiency levels through more rational input use to attain the current level of production. Some practical implications were derived to target policy interventions to enhance agricultural productivity and resource use efficiency.

Suggested Citation

  • Bouali Guesmi & Ahmed Yangui & Ibtissem Taghouti & José Maria Gil, 2022. "Trade-Off between Land Use Pattern and Technical Efficiency Performance: Evidence from Arable Crop Farming in Tunisia," Land, MDPI, vol. 12(1), pages 1-13, December.
  • Handle: RePEc:gam:jlands:v:12:y:2022:i:1:p:94-:d:1017449
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/1/94/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/12/1/94/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rasmussen, Svend, 2003. "Criteria for optimal production under uncertainty. The state-contingent approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(4), pages 1-30.
    2. Ngango, Jules & Hong, Seungjee, 2021. "Impacts of land tenure security on yield and technical efficiency of maize farmers in Rwanda," Land Use Policy, Elsevier, vol. 107(C).
    3. Jean-Paul Chavas, 2008. "A Cost Approach to Economic Analysis Under State-Contingent Production Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 435-466.
    4. Rahman, Sanzidur, 2009. "Whether crop diversification is a desired strategy for agricultural growth in Bangladesh?," Food Policy, Elsevier, vol. 34(4), pages 340-349, August.
    5. Amer Ait Sidhoum & Teresa Serra & Laure Latruffe, 2020. "Measuring sustainability efficiency at farm level: a data envelopment analysis approach [Economic and environmental efficiency of district heating plants]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(1), pages 200-225.
    6. Serra, Teresa & Oude Lansink, Alfons, 2014. "Measuring the impacts of production risk on technical efficiency: A state-contingent conditional order-m approach," European Journal of Operational Research, Elsevier, vol. 239(1), pages 237-242.
    7. Abdulai, Abdul-Nafeo & Abdulai, Awudu, 2017. "Examining the impact of conservation agriculture on environmental efficiency among maize farmers in Zambia," Environment and Development Economics, Cambridge University Press, vol. 22(2), pages 177-201, April.
    8. Richard V. Llewelyn & Jeffery R. Williams, 1996. "Nonparametric analysis of technical, pure technical, and scale efficiencies for food crop production in East Java, Indonesia," Agricultural Economics, International Association of Agricultural Economists, vol. 15(2), pages 113-126, November.
    9. Chambers,Robert G. & Quiggin,John, 2000. "Uncertainty, Production, Choice, and Agency," Cambridge Books, Cambridge University Press, number 9780521785235.
    10. Christopher O’Donnell & Robert Chambers & John Quiggin, 2010. "Efficiency analysis in the presence of uncertainty," Journal of Productivity Analysis, Springer, vol. 33(1), pages 1-17, February.
    11. Robert Chambers & Teresa Serra & Spiro Stefanou, 2015. "Using ex ante output elicitation to model state-contingent technologies," Journal of Productivity Analysis, Springer, vol. 43(1), pages 75-83, February.
    12. Teresa Serra & David Zilberman & Barry K. Goodwin & Keijo Hyvonen, 2005. "Replacement of Agricultural Price Supports by Area Payments in the European Union and the Effects on Pesticide Use," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 870-884.
    13. Robert G. Chambers & John Quiggin, 1998. "Cost Functions and Duality for Stochastic Technologies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(2), pages 288-295.
    14. Solis, Daniel & Bravo-Ureta, Boris E. & Quiroga, Ricardo E., 2007. "Soil conservation and technical efficiency among hillside farmers in Central America: a switching regression model," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(4), pages 1-20.
    15. Catherine Araujo Bonjean & Catherine Simonet, 2016. "Are grain markets in Niger driven by speculation?," Oxford Economic Papers, Oxford University Press, vol. 68(3), pages 714-735.
    16. Bradfield, Tracy & Butler, Robert & Dillon, Emma J. & Hennessy, Thia, 2020. "The factors influencing the profitability of leased land on dairy farms in Ireland," Land Use Policy, Elsevier, vol. 95(C).
    17. Menale Kassie & John Pender & Mahmud Yesuf & Gunnar Kohlin & Randy Bluffstone & Elias Mulugeta, 2008. "Estimating returns to soil conservation adoption in the northern Ethiopian highlands," Agricultural Economics, International Association of Agricultural Economists, vol. 38(2), pages 213-232, March.
    18. Dhehibi, Boubaker & Bahri, Haithem & Annabi, Mohamed, 2012. "Input, Output Technical Efficiencies and Total Factor Productivity of Cereal Production in Tunisia," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 122866, International Association of Agricultural Economists.
    19. Jeffrey D. Michler & Gerald E. Shively, 2015. "Land Tenure, Tenure Security and Farm Efficiency: Panel Evidence from the Philippines," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(1), pages 155-169, February.
    20. Coelli, Tim & Fleming, Euan, 2004. "Diversification economies and specialisation efficiencies in a mixed food and coffee smallholder farming system in Papua New Guinea," Agricultural Economics, Blackwell, vol. 31(2-3), pages 229-239, December.
    21. John N. Ng’ombe & Thomson H. Kalinda & Gelson Tembo, 2017. "Does adoption of conservation farming practices result in increased crop revenue? Evidence from Zambia," Agrekon, Taylor & Francis Journals, vol. 56(2), pages 205-221, April.
    22. Mekki, Insaf & Bailly, Jean Stéphane & Jacob, Frédéric & Chebbi, Hichem & Ajmi, Tarek & Blanca, Yves & Zairi, Abdelaziz & Biarnès, Anne, 2018. "Impact of farmland fragmentation on rainfed crop allocation in Mediterranean landscapes: A case study of the Lebna watershed in Cap Bon, Tunisia," Land Use Policy, Elsevier, vol. 75(C), pages 772-783.
    23. Julien, Jacques C. & Bravo-Ureta, Boris E. & Rada, Nicholas E., 2019. "Assessing farm performance by size in Malawi, Tanzania, and Uganda," Food Policy, Elsevier, vol. 84(C), pages 153-164.
    24. Intissar Ferchichi & Insaf Mekki & Mohamed Elloumi & Lamia Arfa & Sylvie Lardon, 2020. "Actors, Scales and Spaces Dynamics Linked to Groundwater Resources use for Agriculture Production in Haouaria Plain, Tunisia. A Territory Game Approach," Land, MDPI, vol. 9(3), pages 1-15, March.
    25. Bouali Guesmi & Teresa Serra, 2015. "Can We Improve Farm Performance? The Determinants of Farm Technical and Environmental Efficiency," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 37(4), pages 692-717.
    26. Jema Haji, 2007. "Production Efficiency of Smallholders' Vegetable-dominated Mixed Farming System in Eastern Ethiopia: A Non-Parametric Approach," Journal of African Economies, Centre for the Study of African Economies, vol. 16(1), pages 1-27, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yin, Pengzhen & Sun, Jiasen & Chu, Junfei & Liang, Liang, 2016. "Evaluating the environmental efficiency of a two-stage system with undesired outputs by a DEA approach: An interest preference perspectiveAuthor-Name: Wu, Jie," European Journal of Operational Research, Elsevier, vol. 254(3), pages 1047-1062.
    2. Serra, Teresa & Chambers, Robert G. & Oude Lansink, Alfons, 2014. "Measuring technical and environmental efficiency in a state-contingent technology," European Journal of Operational Research, Elsevier, vol. 236(2), pages 706-717.
    3. Amer Ait Sidhoum, 2023. "Assessing the contribution of farmers’ working conditions to productive efficiency in the presence of uncertainty, a nonparametric approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8601-8622, August.
    4. Sriram Shankar & John Quiggin, 2013. "Production under uncertainty: a simulation study," Journal of Productivity Analysis, Springer, vol. 39(3), pages 207-215, June.
    5. Shankar, Sriram, 2012. "Production economics in the presence of risk," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 1-24, December.
    6. Siyan Zeng & Fengwu Zhu & Fu Chen & Man Yu & Shaoliang Zhang & Yongjun Yang, 2018. "Assessing the Impacts of Land Consolidation on Agricultural Technical Efficiency of Producers: A Survey from Jiangsu Province, China," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    7. John Quiggin & Robert G. Chambers, 2006. "The state-contingent approach to production under uncertainty ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(2), pages 153-169, June.
    8. Pedro Macedo & Elvira Silva & Manuel Scotto, 2014. "Technical efficiency with state-contingent production frontiers using maximum entropy estimators," Journal of Productivity Analysis, Springer, vol. 41(1), pages 131-140, February.
    9. Rahman, Sanzidur & Kazal, Mohammad Mizanul Haque, 2015. "Whether crop diversification is energy efficient: An empirical analysis from Bangladesh," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 745-754.
    10. Asif Reza Anik & Sanzidur Rahman & Jaba Rani Sarker, 2017. "Agricultural Productivity Growth and the Role of Capital in South Asia (1980–2013)," Sustainability, MDPI, vol. 9(3), pages 1-24, March.
    11. Hayatullah Ahmadzai, 2017. "Crop Diversification and Technical Efficiency in Afghanistan: Stochastic Frontier Analysis," Discussion Papers 2017-04, University of Nottingham, CREDIT.
    12. Sanzidur Rahman & Chidiebere Daniel Chima, 2016. "Determinants of Food Crop Diversity and Profitability in Southeastern Nigeria: A Multivariate Tobit Approach," Agriculture, MDPI, vol. 6(2), pages 1-14, April.
    13. Sanzidur Rahman, 2010. "Women’s Labour Contribution to Productivity and Efficiency in Agriculture: Empirical Evidence From Bangladesh," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 318-342, June.
    14. Amer Ait Sidhoum, 2023. "Measuring farm productivity under production uncertainty," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(4), pages 672-687, October.
    15. Robert Chambers & Teresa Serra & Spiro Stefanou, 2015. "Using ex ante output elicitation to model state-contingent technologies," Journal of Productivity Analysis, Springer, vol. 43(1), pages 75-83, February.
    16. Zhihai Yang & Amin W. Mugera & Ning Yin & Yumeng Wang, 2018. "Soil conservation practices and production efficiency of smallholder farms in Central China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(4), pages 1517-1533, August.
    17. Macedo, Pedro & Scotto, Manuel, 2014. "Cross-entropy estimation in technical efficiency analysis," Journal of Mathematical Economics, Elsevier, vol. 54(C), pages 124-130.
    18. Singbo, Alphonse G. & Emvalomatis, Grigorios & Alfons, Oude Lansink, 2013. "Assessing the impact of crop specialization on farms’ performance in vegetables farming in Benin: a non-neutral stochastic frontier approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149172, Agricultural and Applied Economics Association.
    19. Adamson, David & Mallawaarachchi, Thilak & Quiggin, John C., 2007. "Water use and salinity in the Murray–Darling Basin: A state-contingent model," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(3), pages 1-19.
    20. Lien, Gudbrand & Kumbhakar, Subal C. & Mishra, Ashok K. & Hardaker, J. Brian, 2022. "Does risk management affect productivity of organic rice farmers in India? Evidence from a semiparametric production model," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1392-1402.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:12:y:2022:i:1:p:94-:d:1017449. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.