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Food Manufacturing Productivity And Its Economic Implications

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  • Huang, Kuo S.

Abstract

The gross-output multifactor productivity index for U.S. food manufacturing grew 0.19 percent per year between 1975 and 1997. This productivity growth is low when compared with an estimate of 1.25 percent per year for the whole manufacturing sector. Low investment in research and development (R&D) could be one reason. Although productivity has been relatively low, food manufacturing output has grown significantly at 1.88 percent over the last two decades. Indeed, the expansion of combined factor inputs provided significant impetus to food manufacturing output. Food manufacturing is materials-intensive, and declining real producer prices of crude food and feedstuffs fueled the expansion of input utilization and drove down prices of processed foods paid by consumers.

Suggested Citation

  • Huang, Kuo S., 2003. "Food Manufacturing Productivity And Its Economic Implications," Technical Bulletins 33557, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uerstb:33557
    DOI: 10.22004/ag.econ.33557
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    Cited by:

    1. Lopez, Rigoberto A., 2022. "The Dimensions of Productivity Change in the U.S. Food Manufacturing Industries," 2023 Allied Social Sciences Association (ASSA) Annual Meeting, January 6-8, 2023, New Orleans, Louisiana 316831, Agricultural and Applied Economics Association.
    2. Konstantakis, Konstantinos N. & Michaelides, Panayotis G., 2017. "Technology and Business Cycles: A Schumpeterian Investigation for the USA," MPRA Paper 80636, University Library of Munich, Germany.
    3. Konstantinos N. Konstantakis & Panagiotis T. Cheilas & Ioannis G. Melissaropoulos & Panos Xidonas & Panayotis G. Michaelides, 2023. "Supply chains and fake news: a novel input–output neural network approach for the US food sector," Annals of Operations Research, Springer, vol. 327(2), pages 779-794, August.
    4. A. Ford Ramsey & Barry Goodwin & Mildred Haley, 2021. "Labor Dynamics and Supply Chain Disruption in Food Manufacturing," NBER Chapters, in: Risks in Agricultural Supply Chains, National Bureau of Economic Research, Inc.
    5. Lanndon A. Ocampo, 2019. "Applying fuzzy AHP–TOPSIS technique in identifying the content strategy of sustainable manufacturing for food production," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(5), pages 2225-2251, October.
    6. Papageorgiou, Theofanis & Michaelides, Panayotis G. & Milios, John, 2009. "Economic Fluctuations, Cyclical Regularities and Technological Change: The U.S. Food Sector (1958–2006)," MPRA Paper 67115, University Library of Munich, Germany.
    7. Bolotova, Yuliya V., 2016. "Food Manufacturing Industry in South Carolina: An Analysis of the Size, Structure, and Performance," Journal of Food Distribution Research, Food Distribution Research Society, vol. 47(1), pages 1-6, March.

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    Keywords

    Agribusiness; Productivity Analysis;

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