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Dynamic Adjustment of U.S. Agriculture to Energy Price Changes

Author

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  • Lambert, David K.
  • Gong, Jian

Abstract

Energy prices increased significantly following the first energy price shock of 1973. Agricultural producers found few short run substitution possibilities as relative factor prices changed. Inelastic demands resulted in total expenditures on energy inputs that have closely followed energy price changes over time. A dynamic cost function model is estimated to derive short and long run adjustments within U.S. agriculture between 1948 and 2002 to changes in relative input prices. The objective is to measure the degree of farm responsiveness to energy price changes and if this responsiveness has changed over time. Findings support inelastic demands for all farm inputs. Statistical results support moderate increases in responses to energy and other input price changes in the 1980s. However, demands for all inputs remain inelastic in both the short and long run. Estimation of share equations associated with a dynamic cost function indicates that factor adjustment to input price changes are essentially complete within 1 year.

Suggested Citation

  • Lambert, David K. & Gong, Jian, 2010. "Dynamic Adjustment of U.S. Agriculture to Energy Price Changes," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 42(2), pages 1-13, May.
    • Handle: RePEc:ags:joaaec:90666
    DOI: 10.22004/ag.econ.90666
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    Cited by:

    1. Alejandro Plastina & Sergio H. Lence & Ariel Ortiz‐Bobea, 2021. "How weather affects the decomposition of total factor productivity in U.S. agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 52(2), pages 215-234, March.
    2. Miceikienė Astrida & Walczak Damian & Misevičiūtė Ieva, 2022. "The Impact of Environmental Taxes on Mitigation of Pollution in Agriculture: The Theoretical Approach," Management Theory and Studies for Rural Business and Infrastructure Development, Sciendo, vol. 44(3), pages 263-273, September.
    3. Yang, Sansi & Shumway, C. Richard, 2014. "Dynamic Adjustment in U.S. Agriculture under Climate Uncertainty," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170609, Agricultural and Applied Economics Association.
    4. Sun Ling Wang & Eldon Ball & Richard Nehring & Ryan Williams & Truong Chau, 2018. "Impacts of Climate Change and Extreme Weather on US Agricultural Productivity: Evidence and Projection," NBER Chapters, in: Agricultural Productivity and Producer Behavior, pages 41-75, National Bureau of Economic Research, Inc.
    5. Chikumbi, Lydia & Muchapondwa, Edwin & Thiam, Djiby, 2020. "Volatility Linkages between Energy and Wine Prices in South Africa," EfD Discussion Paper 20-7, Environment for Development, University of Gothenburg.
    6. Liu, Boying & Richard Shumway, C., 2016. "Substitution elasticities between GHG-polluting and nonpolluting inputs in agricultural production: A meta-regression," Energy Economics, Elsevier, vol. 54(C), pages 123-132.

    More about this item

    Keywords

    Agricultural and Food Policy; Demand and Price Analysis; International Development; Production Economics; Productivity Analysis;
    All these keywords.

    JEL classification:

    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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