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  • The effects of climatic variation on rice production in Sri Lanka

    Author(s)
    Ratnasiri, Shyama
    Walisinghe, Ranjika
    Rohde, Nicholas
    Guest, Ross
    Griffith University Author(s)
    Guest, Ross
    Rohde, Nicholas
    Ratnasiri, Shyama G.
    Year published
    2019
    Metadata
    Show full item record
    Abstract
    We study the responsiveness of rice production to climatic variation using a recent pseudo-panel data set from Sri Lanka. Output per farm is modelled as a non-linear function of temperature and rainfall (and other standard controls) using fixed effects regressions. We find that both climatic variables have concave, non-monotonic effects upon production, and that output is close to maximized at current climatic values. This implies that variations in growing conditions are likely to have negative effects upon production. Random simulations are used to model these impacts under various climate change scenarios, and we find ...
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    We study the responsiveness of rice production to climatic variation using a recent pseudo-panel data set from Sri Lanka. Output per farm is modelled as a non-linear function of temperature and rainfall (and other standard controls) using fixed effects regressions. We find that both climatic variables have concave, non-monotonic effects upon production, and that output is close to maximized at current climatic values. This implies that variations in growing conditions are likely to have negative effects upon production. Random simulations are used to model these impacts under various climate change scenarios, and we find that increasing temperatures will adversely affect rice production much more than varying rainfall, although the effects of a small ceteris paribus rise in temperature are positive. As rice production is a key component in economic output for Sri Lanka and other developing countries, our results have implications for food policy and poverty management in the future.
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    Journal Title
    Applied Economics
    Volume
    51
    Issue
    43
    DOI
    https://doi.org/10.1080/00036846.2019.1597253
    Subject
    Applied economics
    Econometrics
    Environment and resource economics
    Social Sciences
    Economics
    Business & Economics
    Climatic variation
    Monte Carlo simulation
    Publication URI
    http://hdl.handle.net/10072/387651
    Collection
    • Journal articles

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