This study exploits temporal and cross-sectional variation in weather and long-run climate trends to investigate their effects on farm-level productivity. Using panel data for a sample of Wisconsin dairy producers, three stochastic production frontier models are estimated and a random parameters approach is chosen as the most desirable, which accounts for stochastic observed and unobserved environmental factors. The estimated coefficients are used to decompose a multiplicative total factor productivity index that accounts for different sources of productivity growth. Annual productivity growth is estimated at 2.16 per cent, driven primarily by technical progress (1.91 per cent per annum). The average per year contribution of the other productivity components is: climate adaptation efforts -0.31 per cent; scale-mix efficiency change +0.13 per cent and technical efficiency +0.05 per cent.
Njuki, E; Bravo-Ureta, BE; Cabrera, VE
Climatic effects and total factor productivity: econometric evidence for Wisconsin dairy farms
European Review Of Agricultural Economics