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Why Is Agricultural Labour Productivity Higher In Some Countries Than Others?

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  • Gutierrez, Luciano
Abstract
Agriculture productivity varies dramatically in different regions of the world. Using recent theories of economic growth and new data sets (Larson and al., 1999) as a guide, this study finds some empirical regularities between agricultural labour productivity growth, investment and education, as also for environmental factors, for 44 countries during the period 1980-1993. We find strong evidence that where agricultural investment and educated people rates are higher, agricultural labour productivity grows faster. Secondly, geographical factors as well as freer trade influence growth. Finally, we find evidence of conditional convergence, which means that cross-country agricultural productivity does not converge to the same level of steady state but that productivity in each country converges to its own long-run equilibrium.

Suggested Citation

  • Gutierrez, Luciano, 2000. "Why Is Agricultural Labour Productivity Higher In Some Countries Than Others?," 2000 Annual meeting, July 30-August 2, Tampa, FL 21741, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea00:21741
    DOI: 10.22004/ag.econ.21741
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    References listed on IDEAS

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    Cited by:

    1. Arkadiusz Kijek & Tomasz Kijek & Anna Nowak, 2020. "Club convergence of labour productivity in agriculture: Evidence from EU countries," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(9), pages 391-401.
    2. Nilsson, Pia & Bommarco, Riccardo & Hansson, Helena & Kuns, Brian & Schaak, Henning, 2022. "Farm performance and input self-sufficiency increases with functional crop diversity on Swedish farms," Ecological Economics, Elsevier, vol. 198(C).
    3. Torres Franco, Nicolás Arturo & Dávalos, Eleonora & Morales, Leonardo Fabio, 2021. "Heterogeneous Effects of Agricultural Technical Assistance in Colombia," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 53(4), pages 459-481, November.
    4. 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.
    5. Sassi, Maria, 2007. "Structural Change And Economic Convergence Across The Eu-15 Regions: Can The Agricultural Sector Play a Role?," 81st Annual Conference, April 2-4, 2007, Reading University, UK 7961, Agricultural Economics Society.
    6. Egbe Bassey Etowa & Olugbenga Wilson Adejo, 2017. "Occupational Choice And Agricultural Labour Efficiency In Nigeria: Impact Of Icts," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 11(1-2), September.
    7. Darku, Alexander B. & Malla, Stavroula, 2010. "Agricultural Productivity Growth in Canada: Concepts and Evidences," CAIRN Policy Briefs 273055, Canadian Agricultural Innovation and Regulation Network (CAIRN).
    8. Maria Sassi, 2007. "Agriculture and structural change: economic convergence among European regions," QA - Rivista dell'Associazione Rossi-Doria, Associazione Rossi Doria, issue 2, May.

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