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Convergence in U.S. Productivity Growth for Agriculture: Implications of Interstate Research Spillovers for Funding Agricultural Research

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Author Info

  • McCunn, A.
  • Huffman, Wallace

Abstract

State crop, livestock, and aggregate agricultural total factor productivity (TFP) data, 1950-82, are examined for evidence of convergence to a single TFP level (σ-convergence) or to a steady state rate of growth (β- or conditional convergence). Our empirical results do not support σ-convergence but do support β-convergence. The rate of β -convergence is variable and depends on research and development (R&D) spillins from other states, private R&D, and farmers' schooling. The finding of strong positive interstate spillover effects implies that independent state planning of agricultural research is inefficient and cooperation across states boundaries including establishment of new political jurisdictions for financing public agricultural research can enhance efficiency.

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Bibliographic Info

Paper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 5041.

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Date of creation: 01 May 2000
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Publication status: Published in American Journal of Agricultural Economics, May 2000, vol. 82, pp. 370-388
Handle: RePEc:isu:genres:5041

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Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
Phone: +1 515.294.6741
Fax: +1 515.294.0221
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Web page: http://www.econ.iastate.edu
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Cited by:
  1. Mukherjee, Anit N. & Kuroda, Yoshimi, 2003. "Productivity growth in Indian agriculture: is there evidence of convergence across states?," Agricultural Economics, Blackwell, vol. 29(1), pages 43-53, July.
  2. Esposti, Roberto, 2008. "Why Should Regional Agricultural Productivity Growth Converge? Evidence from Italian Regions," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 43955, European Association of Agricultural Economists.
  3. Plastina, Alejandro S. & Fulginiti, Lilyan E., 2007. "Rates of Return to Public Agricultural Research in 48 U.S. States," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon TN 9858, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  4. Ito, Junichi, 2010. "Inter-regional difference of agricultural productivity in China: Distinction between biochemical and machinery technology," China Economic Review, Elsevier, vol. 21(3), pages 394-410, September.
  5. V. Eldon Ball & Carlos San Juan Mesonada & Camilo A. Ulloa, 2011. "Agricultural productivity in the United States: catching-up and the business cycle," Economics Working Papers we1116, Universidad Carlos III, Departamento de Economía.
  6. Magalhaes, Eduardo & Diao, Xinshen, 2009. "Productivity convergence in Brazil: The case of grain production," IFPRI discussion papers 857, International Food Policy Research Institute (IFPRI).
  7. Esposti, Roberto, 0. "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), issue 3.
  8. Hansen, Heiko & Herrmann, Roland, 2012. "The two dimensions of policy impacts on economic cohesion: Concept and illustration for the CAP," Food Policy, Elsevier, vol. 37(4), pages 483-491.
  9. Ball, V. Eldon & San Juan, Carlos & Ulloa, Camilo, 2012. "State Productivity Growth: Catching Up and the Business Cycle," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 123334, Agricultural and Applied Economics Association.
  10. Boehlje, Michael & Roucan-Kane, Maud & Broring, Stefanie, 2011. "Future Agribusiness Challenges: Strategic Uncertainty, Innovation and Structural Change," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association (IAMA), vol. 14(5).
  11. Paudel, Krishna P. & Timilsina, Govinda R., 2010. "Would There Be Surplus Grains for Biofuels? An Assessment of Agro-economic Factors and Biofuel Production Potential at the Global Level," Staff Papers 113125, Louisiana State University, Department of Agricultural Economics and Agribusiness.
  12. 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.

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