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Factors affecting Willingness to Accept compensation for crops conversion programs: a farm level study in Tunisia

Author

Listed:
  • Lamia Soltani

    (Higher School of Digital Economy, Manouba university, Tunisia)

  • Aymen Frija

    (Social Economics and policy Research program)

  • Mohamed salah Matoussi

    (Professor in the faculty of Economics Sciences and Management of Tunis)

Abstract

Offering a case study of Northeast of Tunisia, this study identifies socio-economic factors that affect the willingness to accept compensation for the conversion of their current cropping patterns towards more water-saving ones.A survey questionnaire was used for collecting data. A logistic regression model was used to analyze the data.Results showed that a majority of the farmers self-identified as having accepted a compensation for crops conversion program. Empirical results of the logistic regression model showed that eight factors surveyed, age, farm size, cereal area, parcel number, cattle fattening activity, groundwater salinity, owned area, and rental area were significantly related to a willingness to accept compensation for crops conversion programs.

Suggested Citation

  • Lamia Soltani & Aymen Frija & Mohamed salah Matoussi, 2018. "Factors affecting Willingness to Accept compensation for crops conversion programs: a farm level study in Tunisia," Economics Bulletin, AccessEcon, vol. 38(1), pages 383-392.
    • Handle: RePEc:ebl:ecbull:eb-17-00998
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    References listed on IDEAS

    as
    1. Oecd, 2009. "Climate Change and Africa," OECD Journal: General Papers, OECD Publishing, vol. 2009(1), pages 5-35.
    2. Pfeiffer, Lisa & Lin, C.-Y. Cynthia, 2014. "Does efficient irrigation technology lead to reduced groundwater extraction? Empirical evidence," Journal of Environmental Economics and Management, Elsevier, vol. 67(2), pages 189-208.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Groundwater; crops conversion programs; willingness to accept (WTA); Aquifer; Tunisia;
    All these keywords.

    JEL classification:

    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

    Statistics

    Access and download statistics

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