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Informed Control Over Inputs and Extent of Industrial Processing

Stylized facts regarding the industrial process include emphases on obtaining information about and control over the quality of raw materials. We provide a model that establishes conditions under which informed control involves ensuring uniformity in inputs and increased uniformity encourages more extensive processing. We show when the Boltzmann-Shannon entropy statistic is an appropriate measure of uniformity.

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Paper provided by Center for Agricultural and Rural Development (CARD) at Iowa State University in its series Center for Agricultural and Rural Development (CARD) Publications with number 05-wp398.

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Date of creation: Jun 2005
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Handle: RePEc:ias:cpaper:05-wp398
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  1. Martin L. Weitzman, 2000. "Economic Profitability Versus Ecological Entropy," The Quarterly Journal of Economics, MIT Press, vol. 115(1), pages 237-263, February.
  2. Hennessy, David A. & Miranowski, John & Babcock, Bruce A., 2003. "Genetic Information in Agricultural Productivity and Product Development," Staff General Research Papers 10340, Iowa State University, Department of Economics.
  3. 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(01), July.
  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. Shorrocks, Anthony F, 1983. "Ranking Income Distributions," Economica, London School of Economics and Political Science, vol. 50(197), pages 3-17, February.
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