IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v94y2007i3p372-377.html
   My bibliography  Save this article

Informed control over inputs and extent of industrial processing

Author

Listed:
  • 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.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Hennessy, David A., 2007. "Informed control over inputs and extent of industrial processing," Economics Letters, Elsevier, vol. 94(3), pages 372-377, March.
    • Handle: RePEc:eee:ecolet:v:94:y:2007:i:3:p:372-377
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165-1765(06)00290-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bulut, Harun & Lawrence, John D., 2007. "Meat Slaughter and Processing Plants' Traceability Levels Evidence From Iowa," Staff General Research Papers Archive 12791, Iowa State University, Department of Economics.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Allanson, Paul & Hubbard, Lionel, 1999. "On the Comparative Evaluation of Agricultural Income Distributions in the European Union," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 26(1), pages 1-17, March.
    2. Belhadj, Besma & Limam, Mohamed, 2012. "Unidimensional and multidimensional fuzzy poverty measures: New approach," Economic Modelling, Elsevier, vol. 29(4), pages 995-1002.
    3. Chakravarty, Satya R. & Sarkar, Palash, 2022. "A synthesis of local and effective tax progressivity measurement," MPRA Paper 115180, University Library of Munich, Germany.
    4. Satya R. Chakravarty & Pietro Muliere, 2003. "Welfare indicators: A review and new perspectives. 1. Measurement of inequality," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 457-497.
    5. Nanak Kakwani & Marcelo Neri & Hyun H. Son, 2006. "Linkages between Pro-Poor Growth, Social Programmes and Labour Market: The Recent Brazilian Experience," Working Papers 26, International Policy Centre for Inclusive Growth.
    6. Joseph E. Stiglitz & Andrew Charlton, 2005. "Un cycle de négociations commerciales pour le développement ?," Revue d’économie du développement, De Boeck Université, vol. 13(4), pages 17-54.
    7. Alain Chateauneuf & Patrick Moyes, 2002. "Measuring inequality without the Pigou-Dalton condition," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00156475, HAL.
    8. Carbonell-Nicolau, Oriol & Llavador, Humberto, 2018. "Inequality reducing properties of progressive income tax schedules: the case of endogenous income," Theoretical Economics, Econometric Society, vol. 13(1), January.
    9. Jean-Yves Duclos & Paul Makdissi & Quentin Wodon, 2008. "Socially Improving Tax Reforms," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(4), pages 1505-1537, November.
    10. Stiglitz, Joseph E., 2002. "New perspectives on public finance: recent achievements and future challenges," Journal of Public Economics, Elsevier, vol. 86(3), pages 341-360, December.
    11. Gustavo Bergantiños & Juan D. Moreno-Ternero, 2022. "On the axiomatic approach to sharing the revenues from broadcasting sports leagues," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 58(2), pages 321-347, February.
    12. Oscar Bajo & Rafael Salas, 2002. "Inequality foundations of concentration measures: An application to the Hannah-Kay indices," Spanish Economic Review, Springer;Spanish Economic Association, vol. 4(4), pages 311-316.
    13. Anwesha Banerjee & Nicolas Gravel, 2020. "Contribution to a public good under subjective uncertainty," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 22(3), pages 473-500, June.
    14. Kakwani, Nanak & Neri, Marcelo Côrtes & Son, Hyun H., 2010. "Linkages Between Pro-Poor Growth, Social Programs and Labor Market: The Recent Brazilian Experience," World Development, Elsevier, vol. 38(6), pages 881-894, June.
    15. WANG, Zuxiang & SMYTH, Russell & NG, Yew-Kwang, 2009. "A new ordered family of Lorenz curves with an application to measuring income inequality and poverty in rural China," China Economic Review, Elsevier, vol. 20(2), pages 218-235, June.
    16. John P. Formby & Steven G. Medema & W. James Smith, 1995. "Tax Neutrality and Social Welfare in a Comptutational General Equilibrium Framework," Public Finance Review, , vol. 23(4), pages 419-447, October.
    17. Michel Le Breton & Juan Moreno-Ternero & Alexei Savvateev & Shlomo Weber, 2013. "Stability and fairness in models with a multiple membership," International Journal of Game Theory, Springer;Game Theory Society, vol. 42(3), pages 673-694, August.
    18. Morton, Alec, 2014. "Aversion to health inequalities in healthcare prioritisation: A multicriteria optimisation perspective," Journal of Health Economics, Elsevier, vol. 36(C), pages 164-173.
    19. repec:zbw:hohpro:331 is not listed on IDEAS
    20. Walter Bossert & Bhaskar Dutta, 2019. "The measurement of welfare change," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 53(4), pages 603-619, December.
    21. Bosmans, Kristof & Decancq, Koen & Ooghe, Erwin, 2018. "Who's afraid of aggregating money metrics?," Theoretical Economics, Econometric Society, vol. 13(2), May.

    More about this item

    JEL classification:

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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecolet:v:94:y:2007:i:3:p:372-377. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.