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Understanding the Relationship between American Agricultural Labor and Machinery

Yang, Linge (2025): Understanding the Relationship between American Agricultural Labor and Machinery.

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Abstract

This paper examines the substitutability between labor and machinery in U.S. agriculture using a translog cost function and county-level data from the 2002 and 2022 Censuses of Agriculture. We estimate own-price and cross-price elasticities, along with Allen-Uzawa and Morishima elasticities of substitution, to evaluate the evolving relationship between these inputs. Our results indicate that labor and machinery have been strong substitutes in the past two decades, reflecting the sector’s capacity to mechanize tasks traditionally performed by human labor. However, elasticity estimates reveal a notable decline in substitutability in the past twenty years, which might be explained by the onset of technological saturation. As basic agricultural tasks become increasingly automated, the remaining labor-intensive activities, such as fruit harvesting and livestock care, pose greater challenges to mechanization. We also observe a declining own-price elasticity of labor, indicating reduced responsiveness of labor demand to wage changes. A shift toward skilled labor and broader structural changes in the agricultural economy may drive this trend. Regional analysis highlights heterogeneity in substitution patterns, with some areas maintaining strong substitutability while others exhibit mixed or complementary relationships. These results carry important policy implications. High substitutability supports continued investment in mechanization and informs the design of subsidies and R&D funding. This paper also contributes to a deeper understanding of input dynamics in agricultural production and offers evidence-based guidance for innovation and labor policy in the sector.

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