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Abstract
This study evaluates the impacts of the Agricultural Reform
Implementation Project (ARIP) on Turkey’s agricultural sector. Using a
Turkish province-level data, we estimated an agricultural production
function incorporating with a spatially heterogeneous error component
to generate the output elasticities with respect to various inputs.
This geographically weighted regression model (GWR-SEM) analyzes
spatial variation of output-input elasticities and identifies the
clusters of high output-input elasticities before and after the
implementation of ARIP. Results suggest that the output elasticities
with respect to inputs generally improved across the country in the
post-ARIP period.