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Convergence in the Agricultural Incomes: a Comparison between the US and EU

  • Brasili, Cristina
  • Fanfani, Roberto
  • Gutierrez, Luciano

In this paper we compare the changes in farm incomes in EU regions and US States between1989 and 2002. The aim of this comparative analysis is highlight the patterns of convergence or divergence and how they differ over time. We use two recent analytical instruments: non-stationary panel analysis and dynamic distribution analysis. Both tools overcome the problems involved in using standard cross-section analysis. The results of the non-stationary panel analysis show that the EU regions are converging, and that family farm income is converging faster than net added value. In the US states the analysis shows that substantial differences in farm income persist, and there are no evident signs of convergence. While, the regions are heterogeneous, we modified the analysis to allow for the concept of conditional convergence. The results show that the regions converge towards different levels of productivity but regions that are further from their steady-state level will grow faster.

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File URL: http://purl.umn.edu/9397
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Paper provided by European Association of Agricultural Economists in its series 103rd Seminar, April 23-25, 2007, Barcelona, Spain with number 9397.

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Date of creation: 2007
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Handle: RePEc:ags:eaa103:9397
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  1. Bernard, Andrew B. & Durlauf, Steven N., 1996. "Interpreting tests of the convergence hypothesis," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 161-173.
  2. Moon, H.R.Hyungsik Roger & Perron, Benoit, 2004. "Testing for a unit root in panels with dynamic factors," Journal of Econometrics, Elsevier, vol. 122(1), pages 81-126, September.
  3. Evans, Paul, 1998. "Using Panel Data to Evaluate Growth Theories," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(2), pages 295-306, May.
  4. Danny Quah, 1992. "Empirical cross-section dynamics in economic growth," Discussion Paper / Institute for Empirical Macroeconomics 75, Federal Reserve Bank of Minneapolis.
  5. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
  6. L Gutierrez, 2000. "Convergence in US and EU agriculture," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 27(2), pages 187-206, June.
  7. Danny Quah, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," CEP Discussion Papers dp0280, Centre for Economic Performance, LSE.
  8. Quah, Danny T, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," Economic Journal, Royal Economic Society, vol. 106(437), pages 1045-55, July.
  9. Luciano Gutierrez, 2003. "Panel Unit Roots Tests for Cross-Sectionally Correlated Panels: A Monte Carlo Comparison," Econometrics 0310004, EconWPA.
  10. Yin-Wong Cheung & Antonio I. Garcia Pascual, 2000. "Testing for Output Convergence: A Re-Examination," CESifo Working Paper Series 319, CESifo Group Munich.
  11. Quah, Danny, 1997. "Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," CEPR Discussion Papers 1586, C.E.P.R. Discussion Papers.
  12. Quah, Danny T, 1997. " Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," Journal of Economic Growth, Springer, vol. 2(1), pages 27-59, March.
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