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The direct and indirect effect of climate change on citrus production in Tunisia: a macro and micro spatial analysis

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  • Oussama Zouabi

    (University of Tunis El Manar
    University of Toulon)

  • Mohamed Kadria

    (University of Tunis El Manar)

Abstract

In this study, we tried to show the direct and indirect effect of precipitation and temperature on the production of citrus in Tunisia of a governorate i and the neighboring governorates. To do this, we used a new original analysis of spatial econometrics to take into account in an efficient and finely manner the spatial effects, individual and temporal effects of the spatial autocorrelation. This analysis was done on the basis of global spatial autocorrelation test and the spatial autoregressive model (SAR) as well as the spatial Durbin model (SDM). It appears from our results that the available water in the groundwater table of the governorate i can be an effective solution for the farmer who resides there provided that the means are implemented so that he can benefit. Our robustness results based on the cointegration dynamic panel data, also shows the effect of temperature via the hydric resources of the governorate i and that the neighboring governorates represent a negative spillover effect.

Suggested Citation

  • Oussama Zouabi & Mohamed Kadria, 2016. "The direct and indirect effect of climate change on citrus production in Tunisia: a macro and micro spatial analysis," Climatic Change, Springer, vol. 139(2), pages 307-324, November.
    • Handle: RePEc:spr:climat:v:139:y:2016:i:2:d:10.1007_s10584-016-1784-0
    DOI: 10.1007/s10584-016-1784-0
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    Cited by:

    1. Yong Bao & Gucheng Li & Xiaotian Liu, 2024. "A Spatial Sample Selection Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(4), pages 928-950, August.
    2. Hasibuan, Abdul Muis & Gregg, Daniel & Stringer, Randy, 2020. "Accounting for diverse risk attitudes in measures of risk perceptions: A case study of climate change risk for small-scale citrus farmers in Indonesia," Land Use Policy, Elsevier, vol. 95(C).
    3. Giuseppe Antonio Catalano & Provvidenza Rita D’Urso & Federico Maci & Claudia Arcidiacono, 2023. "Influence of Parameters in SDM Application on Citrus Presence in Mediterranean Area," Sustainability, MDPI, vol. 15(9), pages 1-20, May.
    4. Sarah Ann Wheeler & Ying Xu & Alec Zuo, 2020. "Modelling the climate, water and socio-economic drivers of farmer exit in the Murray-Darling Basin," Climatic Change, Springer, vol. 158(3), pages 551-574, February.

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    More about this item

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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