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Melhim, Almuhanad; O'Donoghue, Erik J.; Shumway, C. Richard. |
Recent consolidation in agriculture has shifted production toward fewer but larger farms, reshaping business relationships between farmers, processors, input suppliers, and local communities. We analyze growth and diversification of U.S. corn, wheat, apple, and beef farms by examining longitudinal changes in 10 size cohorts through three successive censuses. We fail to reject Gibrat’s law in apple and wheat industries and the mean reversion hypothesis in beef and corn industries. Apple and wheat farms diversify over time. The findings suggest that scale economies diminish for large farms across all four industries and scope economies dominate scale economies for large apple and wheat farms. |
Tipo: Journal Article |
Palavras-chave: Diversification; Firm growth; Gibrat’s law; Longitudinal data; Scale economies; Scope economies; Agribusiness; Farm Management; Production Economics; Q12. |
Ano: 2009 |
URL: http://purl.umn.edu/48757 |
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Piet, Laurent. |
In this paper, a continuous version of the Markov Chain Model (MCM) is proposed to project the number and the population structure of farms. It is then applied to the population of professional French farms. Rather than working directly with transition probabilities as in the traditional, discontinuous, MCM, this approach relies on the close but not identical concept of growth rate probabilities and exploits the Gibrat’s law of proportionate effects which appears to be supported by the French data. It is shown that the proposed continuous MCM is a more general approach, since it enables to derive more in-depth detail on the distribution of the projected population and the traditional MCM transition probability matrix can be easily reconstructed from the... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Farm size distribution; Gibrat’s law; Markov Chain Model; Farm Management. |
Ano: 2008 |
URL: http://purl.umn.edu/44269 |
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Brenes Muñoz, Thelma; Lakner, Sebastian; Brümmer, Bernhard. |
The organic sector in Germany has experienced a substantial growth since the beginning of the 1990s until today. During this process of expansion, most organic farms have grown in terms of factor endowment, while others have disappeared or reconverted to conventional agriculture. This paper investigates the potential determinants of farms growth in the organic sector. This paper models potential factors that might have an impact on the economic growth of 332 organic farms in Bavaria and Baden-Wuerttemberg. The econometric model was developed based on ‘Gibrat’s Law’, using a fixed effect method (FE). The results suggest that direct marketing and livestock intensity significantly influence farm growth. In addition, less efficient farms grew faster than more... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Farm-growth; Gibrat’s law; Technical efficiency; Direct marketing; Farm Management. |
Ano: 2011 |
URL: http://purl.umn.edu/114270 |
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