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Climate adaptive response of rice yield in Vietnam: new insight through panel data modeling with heterogeneous slopes

Author

Listed:
  • Thanh Viet Nguyen

    (University of Akureyi)

  • Simioni Michel

    (UMR MoISA - Montpellier Interdisciplinary center on Sustainable Agri-food systems (Social and nutritional sciences) - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - IRD - Institut de Recherche pour le Développement - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement, TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Hung Trung Vo

    (Thu Dau Mot University - Partenaires INRAE)

Abstract

Rice production is central to the Vietnamese economy, not only in terms of contribution to Vietnam's GDP, but also to the food security of its population. However, Vietnam is one of the countries most threatened by climate change in the coming decades, and its rice production in particular. This paper focuses on rice yields and investigates their evolution over time and between provinces over the period 1987-2015, depending on climatic conditions. Special attention is devoted to the impact of heat stress. This impact is measured taking into account the potential adaptation of farmers to these extreme events. To this end, a dynamic production function allowing for spatial and temporal heterogeneity in rice yield responses of to climatic conditions is estimated. Data descriptive analysis shows that the provinces with favorable conditions for rice growth are also those that face the most risk of heat stress. Estimation results show that these provinces adapt to heat stress conditions and that their adaptation eort begins to decrease when heat stress risk becomes too high. Taking adaptation into account then makes it possible to qualify the forecasts made regarding rice yields in the presence of climate change.

Suggested Citation

  • Thanh Viet Nguyen & Simioni Michel & Hung Trung Vo, 2022. "Climate adaptive response of rice yield in Vietnam: new insight through panel data modeling with heterogeneous slopes," Post-Print hal-03886070, HAL.
  • Handle: RePEc:hal:journl:hal-03886070
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-03886070
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    Keywords

    Rice yield; Climate change; Adaptation; Vietnam; Large panel data; Mean observation;
    All these keywords.

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