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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.

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