IDEAS home Printed from https://ideas.repec.org/a/kap/jproda/v38y2012i1p63-79.html
   My bibliography  Save this article

Labor productivity convergence in the Kansas farm sector: a three-stage procedure using data envelopment analysis and semiparametric regression analysis

Author

Listed:
  • Amin Mugera
  • Michael Langemeier
  • Allen Featherstone

Abstract

No abstract is available for this item.

Suggested Citation

  • Amin Mugera & Michael Langemeier & Allen Featherstone, 2012. "Labor productivity convergence in the Kansas farm sector: a three-stage procedure using data envelopment analysis and semiparametric regression analysis," Journal of Productivity Analysis, Springer, vol. 38(1), pages 63-79, August.
    • Handle: RePEc:kap:jproda:v:38:y:2012:i:1:p:63-79
    DOI: 10.1007/s11123-011-0235-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11123-011-0235-1
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11123-011-0235-1?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
    ---><---

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

    References listed on IDEAS

    as
    1. Alan McCunn & Wallace E. Huffman, 2000. "Convergence in U.S. Productivity Growth for Agriculture: Implications of Interstate Research Spillovers for Funding Agricultural Research," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(2), pages 370-388.
    2. Serra, Teresa & Zilberman, David & Gil, Jose Maria, 2008. "Farms' technical inefficiencies in the presence of government programs," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(1), pages 1-20.
    3. Horowitz, Joel L & Spokoiny, Vladimir G, 2001. "An Adaptive, Rate-Optimal Test of a Parametric Mean-Regression Model against a Nonparametric Alternative," Econometrica, Econometric Society, vol. 69(3), pages 599-631, May.
    4. Anthony Rezitis, 2005. "Agricultural productivity convergence across Europe and the United States of America," Applied Economics Letters, Taylor & Francis Journals, vol. 12(7), pages 443-446.
    5. Hsiao, Cheng & Li, Qi & Racine, Jeffrey S., 2007. "A consistent model specification test with mixed discrete and continuous data," Journal of Econometrics, Elsevier, vol. 140(2), pages 802-826, October.
    6. Yucan Liu & C. Richard Shumway & Robert Rosenman & Virgil Eldon Ball, 2011. "Productivity growth and convergence in US agriculture: new cointegration panel data results," Applied Economics, Taylor & Francis Journals, vol. 43(1), pages 91-102.
    7. Rolf Färe & Shawna Grosskopf & Dimitri Margaritis, 2006. "Productivity Growth and Convergence in the European Union," Journal of Productivity Analysis, Springer, vol. 25(1), pages 111-141, April.
    8. V. Eldon Ball & Charles Hallahan & Richard Nehring, 2004. "Convergence of Productivity: An Analysis of the Catch-up Hypothesis within a Panel of States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(5), pages 1315-1321.
    9. V. Ball & Jean-Christophe Bureau & Jean-Pierre Butault & Richard Nehring, 2001. "Levels of Farm Sector Productivity: An International Comparison," Journal of Productivity Analysis, Springer, vol. 15(1), pages 5-29, January.
    10. Ma Jesús Delgado‐Rodríguez & Inmaculada Álvarez‐Ayuso, 2008. "Economic Growth and Convergence of EU Member States: An Empirical Investigation," Review of Development Economics, Wiley Blackwell, vol. 12(3), pages 486-497, August.
    11. V. Eldon Ball & Frank M. Gollop & Alison Kelly-Hawke & Gregory P. Swinand, 1999. "Patterns of State Productivity Growth in the U.S. Farm Sector: Linking State and Aggregate Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 164-179.
    12. Koop, Gary & Tobias, Justin L., 2006. "Semiparametric Bayesian inference in smooth coefficient models," Journal of Econometrics, Elsevier, vol. 134(1), pages 283-315, September.
    13. Gutierrez, Luciano, 2002. "Why is Agricultural Labour Productivity higher in some countries than others?," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 3(1), pages 1-15, January.
    14. Martin Carree & Luuk Klomp, 1997. "Testing The Convergence Hypothesis: A Comment," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 683-686, November.
    15. Daniel J. Henderson & Valentin Zelenyuk, 2007. "Testing for (Efficiency) Catching-up," Southern Economic Journal, John Wiley & Sons, vol. 73(4), pages 1003-1019, April.
    16. Daniel J. Henderson & R. Robert Russell, 2005. "Human Capital And Convergence: A Production-Frontier Approach ," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(4), pages 1167-1205, November.
    17. Teresa Serra & Barry K. Goodwin & Allen M. Featherstone, 2005. "Agricultural Policy Reform and Off‐farm Labour Decisions," Journal of Agricultural Economics, Wiley Blackwell, vol. 56(2), pages 271-285, July.
    18. Yatchew,Adonis, 2003. "Semiparametric Regression for the Applied Econometrician," Cambridge Books, Cambridge University Press, number 9780521812832.
    19. Li, Qi, et al, 2002. "Semiparametric Smooth Coefficient Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 412-422, July.
    20. Shunsuke Managi & David Karemera, 2004. "Input and output biased technological change in US agriculture," Applied Economics Letters, Taylor & Francis Journals, vol. 11(5), pages 283-286.
    21. Subodh Kumar & R. Robert Russell, 2002. "Technological Change, Technological Catch-up, and Capital Deepening: Relative Contributions to Growth and Convergence," American Economic Review, American Economic Association, vol. 92(3), pages 527-548, June.
    22. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    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. Hoop, Daniel & Mack, Gabriele & Mann, Stefan & Schmid, Dierk, 2014. "On the dynamics of agricultural labour input and their impact on productivity and income: an empirical study of Swiss family farms," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 3(4), pages 1-11.
    2. Tomas Baležentis & Irena Kriščiukaitienė & Alvydas Baležentis, 2014. "A nonparametric analysis of the determinants of family farm efficiency dynamics in Lithuania," Agricultural Economics, International Association of Agricultural Economists, vol. 45(5), pages 589-599, September.
    3. S. C. West & A. W. Mugera & R. S. Kingwell, 2022. "The choice of efficiency benchmarking metric in evaluating firm productivity and viability," Journal of Productivity Analysis, Springer, vol. 57(2), pages 193-211, April.
    4. Martina Novotná & Tomáš Volek, 2016. "The Significance of Farm Size in the Evaluation of Labour Productivity in Agriculture," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 64(1), pages 333-340.
    5. Mochen Liao & Kai Lan & Yuan Yao, 2022. "Sustainability implications of artificial intelligence in the chemical industry: A conceptual framework," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 164-182, February.
    6. Novotná, Martina & Volek, Tomáš, 2015. "Efficiency of Production Factors and Financial Performance of Agricultural Enterprises," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 7(4), pages 1-9, December.
    7. Bhattarai, Keshab & Qin, Weiguang, 2022. "Convergence in labor productivity across provinces and production sectors in China," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    8. Amin W. Mugera & Michael R. Langemeier & Andrew Ojede, 2016. "Contributions of Productivity and Relative Price Changes to Farm-level Profitability Change," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(4), pages 1210-1229.
    9. Allen M. Featherstone & Timothy A. Park & Jeremy G. Weber, 2012. "Keeping ARMS relevant: extracting additional information from ARMS," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 72(2), pages 233-246, July.
    10. Kotir, Julius H. & Bell, Lindsay W. & Kirkegaard, John A. & Whish, Jeremy & Aikins, Kojo Atta, 2022. "Labour demand – The forgotten input influencing the execution and adoptability of alternative cropping systems in Eastern Australia," Agricultural Systems, Elsevier, vol. 203(C).
    11. F. Djoumessi, Yannick, 2016. "Green Agricultural Productivity Growth and Convergence in sub-Saharan Africa," MPRA Paper 79525, University Library of Munich, Germany, revised 11 Dec 2016.

    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. F. Djoumessi, Yannick, 2016. "Green Agricultural Productivity Growth and Convergence in sub-Saharan Africa," MPRA Paper 79525, University Library of Munich, Germany, revised 11 Dec 2016.
    2. Mugera, Amin W. & Langemeier, Michael R. & Featherstone, Allen M., 2012. "Labor Productivity Growth in the Kansas Farm Sector: A Tripartite Decomposition Using a Non-Parametric Approach," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(3), pages 1-15, December.
    3. Simar, Leopold & Zelenyuk, Valentin, 2011. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regressions," LIDAM Discussion Papers ISBA 2011042, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    4. Mugera, Amin W. & Langemeier, Michael R., 2008. "Labor Productivity Growth And Convergence In The Kansas Farm Sector: A Tripartite Decomposition Using The Dea Approach," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6069, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Simone Gitto & Paolo Mancuso, 2015. "The contribution of physical and human capital accumulation to Italian regional growth: a nonparametric perspective," Journal of Productivity Analysis, Springer, vol. 43(1), pages 1-12, February.
    6. Li, Degui & Simar, Léopold & Zelenyuk, Valentin, 2016. "Generalized nonparametric smoothing with mixed discrete and continuous data," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 424-444.
    7. Yu Sheng & V. Eldon Ball & Kenneth Erickson & Carlos San Juan Mesonada, 2022. "Cross-country agricultural TFP convergence and capital deepening: evidence for induced innovation from 17 OECD countries," Journal of Productivity Analysis, Springer, vol. 58(2), pages 185-202, December.
    8. Léopold Simar & Ingrid Keilegom & Valentin Zelenyuk, 2017. "Nonparametric least squares methods for stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 47(3), pages 189-204, June.
    9. Esposti, Roberto, 2012. "Knowledge, Technology and Innovations for a Bio-based Economy: Lessons from the Past, Challenges for the Future," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(3), pages 1-34, December.
    10. V. Ball & Carlos San-Juan-Mesonada & Camilo Ulloa, 2014. "State productivity growth in agriculture: catching-up and the business cycle," Journal of Productivity Analysis, Springer, vol. 42(3), pages 327-338, December.
    11. Ball, V. Eldon & San Juan, Carlos & Ulloa, Camilo A., 2011. "Agricultural productivity in the United States: catching-up and the business cycle," UC3M Working papers. Economics we1116, Universidad Carlos III de Madrid. Departamento de Economía.
    12. López-Pueyo, Carmen & Mancebón, María-Jesús, 2010. "Innovation, accumulation and assimilation: Three sources of productivity growth in ICT industries," Journal of Policy Modeling, Elsevier, vol. 32(2), pages 268-285, March.
    13. Oleg Badunenko & Daniel J. Henderson & Valentin Zelenyuk, 2008. "Technological Change and Transition: Relative Contributions to Worldwide Growth During the 1990s," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(4), pages 461-492, August.
    14. Andersen, Matthew A. & Alston, Julian M. & Pardey, Philip G., 2009. "Capital Service Flows: Concepts and Comparisons of Alternative Measures in U.S. Agriculture," Staff Papers 50098, University of Minnesota, Department of Applied Economics.
    15. Carmen L�pez Pueyo & M� Jes�s Manceb�n Torrubia, 2009. "Sources of productivity growth and convergence in ict industries: an intertemporal non-parametric frontier approach?," Documentos de Trabajo dt2009-04, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    16. Michée A. Lachaud & Boris E. Bravo‐Ureta, 2021. "Agricultural productivity growth in Latin America and the Caribbean: an analysis of climatic effects, catch‐up and convergence," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(1), pages 143-170, January.
    17. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    18. Kerstin Enflo & Per Hjertstrand, 2009. "Relative Sources of European Regional Productivity Convergence: A Bootstrap Frontier Approach," Regional Studies, Taylor & Francis Journals, vol. 43(5), pages 643-659.
    19. Oleg Badunenko & Daniel Henderson & Romain Houssa, 2014. "Significant drivers of growth in Africa," Journal of Productivity Analysis, Springer, vol. 42(3), pages 339-354, December.
    20. Lajos Baráth & Imre Fertő, 2017. "Productivity and Convergence in European Agriculture," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(1), pages 228-248, February.

    More about this item

    Keywords

    Labor productivity; Efficiency change; Technical change; Factor intensity; Convergence; Semiparametric regression; D24; Q12;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

    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:kap:jproda:v:38:y:2012:i:1:p:63-79. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.