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Drivers of agricultural profitability in the USA: An application of the Du Pont expansion method

Ashok K. Mishra (Agricultural Economics and Agribusiness, Louisiana State University AgCenter and Louisiana State University, Baton Rouge, Louisiana, USA)
J. Michael Harris (Resource Economics Division, Economic Research Service, USDA, Washington, District of Columbia, USA)
Kenneth W. Erickson (Resource Economics Division, Economic Research Service, USDA, Washington, District of Columbia, USA)
Charlie Hallahan (Information Service Division, Economic Research Service, USDA, Washington, District of Columbia, USA)
Joshua D. Detre (Agricultural Economics and Agribusiness, Louisiana State University AgCenter and Louisiana State University, Baton Rouge, Louisiana, USA)

Agricultural Finance Review

ISSN: 0002-1466

Article publication date: 2 November 2012

1344

Abstract

Purpose

The aim of this study is to use a financial approach based on the Du Pont expansion to investigate the impact of demographics, specialization, tenure, vertical integration, farm type, and regional location on the three levers of performance (ROE) – namely, net profit margins, asset turnover ratio, and asset‐to‐equity ratio.

Design/methodology/approach

This research uses a system of equations in conjunction with 1996‐2009 farm‐level data from the US Department of Agriculture's Agricultural Resource Management Survey (ARMS) to evaluate the factors driving farm‐level profitability, namely, net profit margins, asset turnover ratio, and asset‐to‐equity ratio. The methodology employed in this study corrects heterogeneity and uses repeated cross‐section estimation procedure to estimate the empirical models.

Findings

The study finds that key drivers of net profit margins are operator education, farm size and typology, specialization, and level of government payments. Key factors affecting the asset turnover ratio component of the Du Pont model include asset turnover ratio is driven by operator age, contracting, specialization, and receiving government payments. Finally, key factors affecting asset‐to‐equity ratio component of the Du Pont model are farm size, farm typology, contracting, and specialization drive asset‐to‐equity ratio.

Originality/value

Existing research does not examine the factors affecting returns to equity in faring at the farm‐level. Specifically, a micro‐level analysis of American farm's future structure and financial performance that accounts for the spatial and inter‐temporal dimensions of profitability has never been conducted.

Keywords

Citation

Mishra, A.K., Harris, J.M., Erickson, K.W., Hallahan, C. and Detre, J.D. (2012), "Drivers of agricultural profitability in the USA: An application of the Du Pont expansion method", Agricultural Finance Review, Vol. 72 No. 3, pp. 325-340. https://doi.org/10.1108/00021461211277213

Publisher

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Emerald Group Publishing Limited

Copyright © 2012, Emerald Group Publishing Limited

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