How weather affects the decomposition of total factor productivity in U.S. agriculture

dc.contributor.author Plastina, Alejandro
dc.contributor.author Lence, Sergio
dc.contributor.author Ortiz-Bobea, Ariel
dc.contributor.department Department of Economics (LAS)
dc.date.accessioned 2025-05-07T13:41:27Z
dc.date.available 2025-05-07T13:41:27Z
dc.date.issued 2021-03
dc.description.abstract This study illustrates and quantifies how overlooking the impact of weather shocks can affect the measurement and decomposition of agricultural total factor productivity (TFP) change. The underlying technology is represented by a flexible input distance function with quasi-fixed inputs estimated with Bayesian methods. Using agricultural production and weather data for 16 states in the Pacific Region, Central Region, and Southern Plains of the United States, we estimate TFP change as the direct sum of multiple components, including a net weather effect. To assess the role of weather, we conduct a comparative analysis based on two distinct sets of input and output variables. A traditional set of variables that ignore weather variations, and a new set of “weather-filtered” variables that represent input and output levels that would have been chosen under average weather conditions. From this comparative analysis, we derive biases in the decomposition of TFP growth from the omission of weather shocks. We find that weather shocks accelerated productivity growth in 12 out of 16 states by the equivalent of 11.4% of their group-average TFP growth, but slowed down productivity by the equivalent of 6.5% of the group-average TFP growth in the other four states (located in the Northern-most part of the country). We also find substantial biases in the estimated contribution of technical change, scale effects, technical efficiency change, and output allocation effects to TFP growth (varying in magnitude and direction across regions) when weather effects are excluded from the model. This is the first study to present estimates of those biases based on a counterfactual analysis. One major implication from our study is that the official USDA's measures of TFP change would appear to overestimate the rate of productivity growth in U.S. agriculture stemming from technical change, market forces, agricultural policies, and other nonweather drivers.
dc.description.comments JEL Classification: C11, D24, O47, Q18<br/><br/>This article is published as Plastina, Alejandro, Sergio H. Lence, and Ariel Ortiz‐Bobea. "How weather affects the decomposition of total factor productivity in US agriculture." Agricultural Economics 52, no. 2 (2021): 215-234. https://doi.org/10.1111/agec.12615
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/azJ40Pgv
dc.language.iso en
dc.publisher Wiley Periodicals LLC on behalf of International Association of Agricultural Economists
dc.relation.hasversion How Weather Affects the Decomposition of Total Factor Productivity in U.S. Agriculture
dc.rights © 2021 The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
dc.source.uri https://doi.org/10.1111/agec.12615 *
dc.subject.disciplines DegreeDisciplines::Social and Behavioral Sciences::Agricultural and Resource Economics
dc.subject.disciplines DegreeDisciplines::Social and Behavioral Sciences::Economics::Growth and Development
dc.subject.disciplines DegreeDisciplines::Social and Behavioral Sciences::Economics::Econometrics
dc.subject.keywords agricultural productivity
dc.subject.keywords allocative efficiency
dc.subject.keywords Bayesian methods
dc.subject.keywords input distance function
dc.subject.keywords output allocation effect
dc.subject.keywords price aggregation effect
dc.subject.keywords quasi-fixed input
dc.subject.keywords scale effect
dc.subject.keywords technical change
dc.subject.keywords technical efficiency
dc.subject.keywords total factor productivity
dc.subject.keywords weather
dc.title How weather affects the decomposition of total factor productivity in U.S. agriculture
dc.type Article
dspace.entity.type Publication
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