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Informed Control Over Inputs and Extent of Industrial Processing

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  • Hennessy, David A.

Abstract

Industrial processing emphasizes information on and control over quality of raw materials. This letter establishes conditions under which informed control involves ensuring uniformity in inputs and increased uniformity encourages more extensive processing. The Boltzmann-Shannon entropy statistic can appropriately measure uniformity.

Suggested Citation

  • Hennessy, David A., 2005. "Informed Control Over Inputs and Extent of Industrial Processing," Staff General Research Papers Archive 12377, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genres:12377
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    References listed on IDEAS

    as
    1. Chalfant, James A. & James, Jennifer S. & Lavoie, Nathalie & Sexton, Richard J., 1999. "Asymmetric Grading Error And Adverse Selection: Lemons In The California Prune Industry," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(1), pages 1-23, July.
    2. John A. Miranowski & Bruce A. Babcock, 2004. "Genetic Information in Agricultural Productivity and Product Development," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 73-87.
    3. Martin L. Weitzman, 2000. "Economic Profitability Versus Ecological Entropy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 237-263.
    4. Dasgupta, Partha & Sen, Amartya & Starrett, David, 1973. "Notes on the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 6(2), pages 180-187, April.
    5. repec:bla:econom:v:50:y:1983:i:197:p:3-17 is not listed on IDEAS
    6. Sen, Amartya, 1973. "On Economic Inequality," OUP Catalogue, Oxford University Press, number 9780198281931.
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    Cited by:

    1. Bulut, Harun & Lawrence, John D., 2007. "Meat Slaughter and Processing Plants’ Traceability Levels Evidence From Iowa," 2007 Conference, April 16-17, 2007, Chicago, Illinois 37576, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    2. Lambert, David K., 2008. "The expected utility of genetic information in beef cattle production," Agricultural Systems, Elsevier, vol. 99(1), pages 44-52, December.
    3. Hennessy, David A. & Zhang, Jing & Bai, Na, 2019. "Animal health inputs, endogenous risk, general infrastructure, technology adoption and industrialized animal agriculture," Food Policy, Elsevier, vol. 83(C), pages 355-362.

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    More about this item

    JEL classification:

    • D2 - Microeconomics - - Production and Organizations
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance

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