Hostname: page-component-cb9f654ff-w5vf4 Total loading time: 0 Render date: 2025-09-01T13:01:34.340Z Has data issue: false hasContentIssue false
  • English
  • Français

Productivity Divergence across Kansas Farms

Published online by Cambridge University Press:  15 September 2016

Elizabeth A. Yeager  and
Michael R. Langemeier
Elizabeth A. Yeager
Affiliation:
Department of Agricultural Economics at Kansas State University in Manhattan, Kansas
Michael R. Langemeier
Affiliation:
Department of Agricultural Economics at Kansas State University in Manhattan, Kansas
Get access Rights & Permissions [Opens in a new window]

Abstract

This study used 30 years of continuous data for 135 farms in Kansas to explore changes in productivity using Malmquist productivity indices (MPI). The indices were used to determine whether there was productivity convergence or divergence in Kansas farms. The results showed there was significant divergence among the farms. The average annual productivity growth was 0.50 percent; the top farms based on MPI were larger in terms of value of farm production, crop farm income, and livestock farm income and received a larger percentage of their income from oilseeds, feed grains, and swine than the other farms on average.

Keywords

convergencedivergenceproductivity growth

Information

Type
Contributed Papers
Information
Agricultural and Resource Economics Review , Volume 40 , Issue 2 , August 2011 , pp. 282 - 292
Copyright
Copyright © 2011 Northeastern Agricultural and Resource Economics Association 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

Ariyaratne, C.B., Featherstone, A.M., and Langemeier, M.R. 2006. “What Determines Productivity Growth of Agricultural Cooperatives?” Journal of Agricultural and Applied Economics 38(1): 47–59.CrossRefGoogle Scholar
Ball, V.E., Hallahan, C., and Nehring, R. 2004. “Convergence of Productivity: An Analysis of the Catch-up Hypothesis within a Panel of States.” American Journal of Agricultural Economics 86(5): 1315–1321.CrossRefGoogle Scholar
Barney, J.B., and Clark, D.N. 2007. Resource-Based Theory: Creating and Sustaining Competitive Advantage. Oxford: Oxford University Press.CrossRefGoogle Scholar
Barro, R.J., and Sala-i-Martin, X. 1991. “Convergence across States and Regions.” Brookings Papers on Economic Activity 1991(1): 107–158.CrossRefGoogle Scholar
Barro, R.J., and Sala-i-Martin, X. 1992. “Convergence.” Journal of Political Economy 100(2): 223–251.CrossRefGoogle Scholar
Clark, P., and Langemeier, M. 2007. “Productivity and Farm Size.” Selected paper presented at the 16th International Farm Management Association Congress-UCC, Cork, Ireland.Google Scholar
Cochran, W.G., and Cox, G.M. 1992. Experimental Designs (2nd Edition). New York: John Wiley and Sons. Google Scholar
Coelli, T.J., and Rao, D.S.P. 2003. “Total Factor Productivity Growth in Agriculture: A Malmquist Index Analysis of 93 Countries, 1980–2000.” Working Paper Series No. 02/2003, Centre for Efficiency and Productivity Analysis, School of Economics, University of Queensland.Google Scholar
Coelli, T.J., Rao, D.S.P., O'Donnell, C. J., and Battese, G.E. 2005. An Introduction to Efficiency and Productivity Analysis (2nd Edition). New York: Springer. Google Scholar
Färe, R., and Grosskopf, S. 1996. Intertemporal Production Frontiers: With Dynamic DEA. Boston: Kluwer Academic Publishers.CrossRefGoogle Scholar
Färe, R., Grosskopf, S., Norris, M., and Zhang, Z. 1994. “Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries.” The American Economic Review 84(1): 66–83.Google Scholar
Fughe, K.O., MacDonald, J.M., and Ball, E. 2007. “Productivity Growth in U.S. Agriculture.” Economic Brief No. 9, USDA/Economic Research Service, Washington, D.C. Google Scholar
Islam, N. 2003. “What Have We Learnt from the Convergence Debate?” Journal of Economic Surveys 17(3): 309–62.CrossRefGoogle Scholar
Key, N., McBride, W., and Mosheim, R. 2008. “Decomposition of Total Factor Productivity Change in the U.S. Hog Industry.” Journal of Agricultural and Applied Economics 40(1): 137–149.CrossRefGoogle Scholar
Langemeier, M.R. 2010. “Kansas Farm Management SAS Data Bank Documentation.” Staff Paper No. 11-01, Department of Agricultural Economics, Kansas State University, Manhattan, Kansas.Google Scholar
Langemeier, M. 2009. “Relative Efficiency of Kansas Wheat Farms.” Paper presented at the 2009 Risk and Profit Conference, Department of Agricultural Economics, Kansas State University, Manhattan, Kansas.Google Scholar
Managi, S., and Karemera, D. 2004. “Input and Output Biased Technological Change in U.S. Agriculture.” Applied Economics Letters 11(5): 283–286.CrossRefGoogle Scholar
Olson, K., and Vu, L. 2009. “Productivity Growth, Technical Efficiency, and Technical Change on Minnesota Farms.” Selected paper presented at the 2009 Agricultural and Applied Economics Association Annual Meeting, Milwaukee, WI.Google Scholar
Porter, M.E. 1998. On Competition. Boston: Harvard Business School Publishing.Google ScholarPubMed
Sala-i-Martin, X. 1996. “The Classical Approach to Convergence Analysis.” The Economic Journal 106(497): 1019–1036.CrossRefGoogle Scholar
SAS Institute. 2005. SAS/STAT User's Guide, Version 9.1. Cary, NC: SAS Institute.Google Scholar
Tauer, L.W., and Lordkipanidze, N. 2000. “Farmer Efficiency and Technology Use with Age.” Agricultural and Resource Economics Review 29(1): 24–31.Google Scholar