IDEAS home Printed from https://ideas.repec.org/a/ags/sojoae/29968.html
   My bibliography  Save this article

A Markov Chain Analysis Of Structural Changes In The Texas High Plains Cotton Ginning Industry

Author

Listed:
  • Ethridge, Don E.
  • Roy, Sujit K.
  • Myers, David W.

Abstract

Markov chain analysis of changes in the number and size of cotton gin firms in West Texas was conducted assuming stationary and non-stationary transition probabilities. Projections of industry structure were made to 1999 with stationary probability assumptions and six sets of assumed conditions for labor and energy costs and technological change in the non-stationary transition model. Results indicate a continued decline in number of firms, but labor, energy, and technology conditions alter the configuration of the structural changes.

Suggested Citation

  • Ethridge, Don E. & Roy, Sujit K. & Myers, David W., 1985. "A Markov Chain Analysis Of Structural Changes In The Texas High Plains Cotton Ginning Industry," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 17(2), pages 1-10, December.
    • Handle: RePEc:ags:sojoae:29968
    DOI: 10.22004/ag.econ.29968
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/29968/files/17020011.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.29968?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Campbell, John D., 1969. "Central Cotton Ginning: Comparative Costs, Use in Other Countries, and Potential Use in the United States," Farmer Cooperative Research Report (FCRR) 314175, United States Department of Agriculture, Economic Research Service.
    2. Shaw, Dale L. & Cleveland Jr, O. A. & Ghetii, Joseph L., 1977. "Economic Models for Cotton Ginning," Archive 259784, Texas Tech University, Department of Agricultural and Applied Economics.
    3. Bernard F. Stanton & Lauri Kettunen, 1967. "Potential Entrants and Projections in Markov Process Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 49(3), pages 633-642.
    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. Disney, W. Terry & Duffy, Patricia A. & Hardy, William E., Jr., 1988. "A Markov Chain Analysis Of Pork Farm Size Distributions In The South," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 20(2), pages 1-8, December.
    2. Zimmermann, Andrea & Heckelei, Thomas, 2012. "Differences of farm structural change across European regions," Discussion Papers 162879, University of Bonn, Institute for Food and Resource Economics.
    3. Stokes, Jeffrey R., 2006. "Entry, Exit, and Structural Change in Pennsylvania's Dairy Sector," Agricultural and Resource Economics Review, Cambridge University Press, vol. 35(2), pages 357-373, October.
    4. Hua, Wei & Sohngen, Brent & Hite, Diane, 2005. "Assessing the Relationship Between Crop Choice and Land Use Change Using A Markov Model," 2005 Annual meeting, July 24-27, Providence, RI 19257, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Legrand D. F. Saint‐Cyr, 2022. "Heterogeneous farm‐size dynamics and impacts of subsidies from agricultural policy: Evidence from France," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 893-923, September.
    6. Alexander Gocht & Norbert Röder & Sebastian Neuenfeldt & Hugo Storm & Thomas Heckelei, 2012. "Modelling farm structural change: A feasibility study for ex-post modelling utilizing FADN and FSS data in Germany and developing an ex-ante forecast module for the CAPRI farm type layer baseline," JRC Research Reports JRC75524, Joint Research Centre.
    7. Legrand D. F, Saint-Cyr, 2017. "Farm heterogeneity and agricultural policy impacts on size dynamics: evidence from France," Working Papers SMART 17-04, INRAE UMR SMART.

    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. Ethridge, Don E. & Roy, Sujit K. & Myers, David W., 1983. "Changes in the Structure of the Texas High Plains Cotton Ginning Industry, 1967-1999," Archive 259788, Texas Tech University, Department of Agricultural and Applied Economics.
    2. Stavins, R. N. & Stanton, B. F., 1980. "Alternative Procedures For Estimating The Size Distribution Of Farms," Journal of the Northeastern Agricultural Economics Council, Northeastern Agricultural and Resource Economics Association, vol. 9(2), pages 1-6, October.
    3. Skinner, S. P. & Lee, T. C. & Seaver, S. K., 1980. "Structural Change In The New England Egg Industry: A Markov Analysis," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 0(Number 2), pages 1-7, October.
    4. Zimmermann, Andrea & Heckelei, Thomas & Perez Dominguez, Ignacio, 2006. "Working paper: Literature Review of Approaches to Estimate Structural Change," Reports 9304, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.
    5. Dent, Warren Thomas & Ballintine, Richard, 1971. "A Review Of The Estimation Of Transition Probabilities In Markov Chains," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 15(2), pages 1-13, August.
    6. Jongeneel, Roelof A. & Longworth, Natasha & Huettel, Silke, 2005. "Dairy Farm Size Distribution in East and West: Evolution and Sensitivity to Structural and Policy Variables: Case-Studies of the Netherlands, Germany, Poland and Hungary," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24772, European Association of Agricultural Economists.
    7. Huettel, Silke & Jongeneel, Roelof A., 2009. "Impact of the EU Milk Quota on Structural Change in the Dairy Sectors of Germany and The Netherlands," 2009 Conference, August 16-22, 2009, Beijing, China 50943, International Association of Agricultural Economists.
    8. Disney, W. Terry & Duffy, Patricia A. & Hardy, William E., Jr., 1988. "A Markov Chain Analysis Of Pork Farm Size Distributions In The South," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 20(2), pages 1-8, December.
    9. Piet, Laurent, 2008. "The evolution of farm size distribution: revisiting the Markov chain model," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44269, European Association of Agricultural Economists.
    10. Jensen, Harald R., 1977. "PART I. Farm Management and Production Economics, 1946-70," AAEA Monographs, Agricultural and Applied Economics Association, number 337213, january.
    11. Stavins, R. N. & Stanton, B. F., 1980. "Alternative Procedures For Estimating The Size Distribution Of Farms," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 0(Number 2), pages 1-6, October.
    12. Skinner, S. P. & Lee, T. C. & Seaver, S. K., 1980. "Structural Change In The New England Egg Industry: A Markov Analysis," Journal of the Northeastern Agricultural Economics Council, Northeastern Agricultural and Resource Economics Association, vol. 9(2), pages 1-7, October.
    13. Sexton, Richard J. & Wilson, Brooks M. & Wann, Joyce J., 1989. "Some Tests Of The Economic Theory Of Cooperatives: Methodology And Application To Cotton Ginning," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 14(1), pages 1-11, July.
    14. Huettel, Silke & Jongeneel, Roelof A., 2008. "Structural Change in the Dairy Sectors of Germany and The Netherlands - A Markov Chain Analysis," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 43659, European Association of Agricultural Economists.
    15. Alexander Gocht & Norbert Röder & Sebastian Neuenfeldt & Hugo Storm & Thomas Heckelei, 2012. "Modelling farm structural change: A feasibility study for ex-post modelling utilizing FADN and FSS data in Germany and developing an ex-ante forecast module for the CAPRI farm type layer baseline," JRC Research Reports JRC75524, Joint Research Centre.
    16. Smith, Matthew G., 1988. "A Conditional Approach To Projecting Farm Structure," Staff Reports 278025, United States Department of Agriculture, Economic Research Service.

    More about this item

    Keywords

    Crop Production/Industries;

    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:ags:sojoae:29968. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.html .

    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.