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Cropland use, yields, and droughts: spatial data modeling for Burkina Faso and Niger

机译:耕地利用,单产和干旱:布基纳法索和尼日尔的空间数据模型

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摘要

For countries with recurrent droughts, the design of drought impact mitigation measures could benefit from analyses of determinants of yields and prices of local crops at regional and district level. This study applies dynamic spatial panel data regression models to yields and prices of four major food crops across regions of Burkina Faso and Niger, over sample periods between 1984 and 2006. Results lend support to mainly simultaneous spatial spillovers, particularly for millet and cowpea prices and sorghum yields in Niger, and maize yields in Burkina Faso. After accounting for these effects, most crop yields are found to be weakly price-responsive, as envisaged by a supply-side geographical diffusion hypothesis. Seasonal rainfall elasticity estimates suggest that dominant food crops have slight advantage margins in terms of relative resilience to rainfall shortages. However, this result is to be weighed against low millet yields in Niger, and marked drops in sorghum yields during officially declared droughts in Burkina Faso.
机译:对于经常干旱的国家,减轻干旱影响的措施的设计可能会受益于区域和地区层面上当地农作物的产量和价格决定因素的分析。这项研究将动态空间面板数据回归模型应用于布基纳法索和尼日尔地区1984年至2006年的采样期内四种主要粮食作物的产量和价格。结果为主要同时发生的空间溢出提供了支持,尤其是对于小米和cow豆的价格以及尼日尔的高粱产量和布基纳法索的玉米产量。在考虑了这些影响之后,如供应方地理扩散假设所设想的那样,发现大多数作物的单产对价格的反应较弱。季节性降雨弹性估算表明,相对于对降雨短缺的抵御力,优势粮食作物的优势空间很小。然而,要权衡这一结果与尼日尔小米低产的影响,以及在布基纳法索正式宣布的干旱期间高粱单产的显着下降。

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