A spatial analysis of the relationship between agricultural output and input factors in Turkey
New Medit, vol 16, n.1, (March 2017), pp. 11-17
Jel classification: C21, Q11, R11
Serving as a primary role in Turkey’s society and economy, the agricultural sector presents a wide range of farming activities driven by distinctive climatic and geographical conditions. This study estimated a spatial agricultural production function using spatially-varying coefficient models to enhance our understanding about the diverse relationship between agricultural output and input factors across Turkey. Findings suggest spatial variation in the impact of labor, tractor, and fertilizer uses on agricultural output at the regional and provincial levels. The goodness of fit of both spatial models outperformed an aspatial model estimated with OLS (Ordinary Least Squares). The comparative advantage of input factors in different regions/provinces found in our study implies the importance of considering spatial factors in policy mechanisms tailored to different regions given their topography features, socioeconomic milieus, and resource endowments.
Turkey, agricultural output, spatial variation, geographically weighted regression