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| Balcombe, Kelvin George; Davidova, Sophia; Latruffe, Laure. |
| The paper assesses the extent to which sampling variation affects findings about Malmquist productivity change derived using Data Envelopment Analysis (DEA), in the first stage calculating productivity indices and in the second stage investigating the farm-specific change in productivity. Confidence intervals for Malmquist indices are constructed using Simar and Wilson's (1999) bootstrapping procedure. The main contribution of the paper is to account in the second stage for the information provided by the bootstrap in the first stage. The DEA standard errors of the Malmquist indices given by bootstrapping are employed in an innovative heteroscedastic panel regression, using a maximum likelihood procedure. The application is to a sample of 250 Polish farms... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Productivity; Malmquist; Bootstrapping; Second-stage regression; Poland; Productivity Analysis. |
| Ano: 2006 |
URL: http://purl.umn.edu/25793 |
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| Balcombe, Kelvin George; Bailey, Alastair; Morrison, Jamie; Rapsomanikis, George; Thirtle, Colin G.. |
| This paper examines biased technical change in South African agriculture using a system of share equations with unobserved components. Developing on the work of Lambert and Shonkwiler (1995), this paper generalises previous work by introducing independent unobserved components into each model using a regression-based approach. We find evidence of stochastic technical change, which is itself biased between the four factors of production: machinery, land, labour and fertiliser, and which closely reflects distinct phases of South African agricultural policy and development. |
| Tipo: Journal Article |
Palavras-chave: Research and Development/Tech Change/Emerging Technologies. |
| Ano: 2000 |
URL: http://purl.umn.edu/54211 |
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| Balcombe, Kelvin George; Doucouliagos, Hristos; Fraser, Iain. |
| In this paper we estimate a Translog output distance function for a balanced panel of state level data for the Australian dairy processing sector. We estimate a fixed effects specification employing Bayesian methods, with and without the imposition of monotonicity and curvature restrictions. Our results indicate that Tasmania and Victoria are the most technically efficient states with New South Wales being the least efficient. The imposition of theoretical restrictions marginally affects the results especially with respect to estimates of technical change and industry deregulation. Importantly, our bias estimates show changes in both input use and output mix that result from deregulation. Specifically, we find that deregulation has positively biased the... |
| Tipo: Journal Article |
Palavras-chave: Bayesian; Deregulation; Output distance function; Agribusiness. |
| Ano: 2007 |
URL: http://purl.umn.edu/118324 |
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| Balcombe, Kelvin George; Davidova, Sophia; Latruffe, Laure. |
| This paper employs bootstrapping to correct for bias and to construct confidence intervals for Malmquist TFP indices derived with DEA. It uses these results to investigate the productivity change in Polish agriculture during a crucial period of the country's transition to a market economy, 1996-2000, when Poland was preparing for accession to the European Union. The bias corrected estimates show regress in productivity at an annual rate of 4 percent. The confidence intervals suggest that between two-thirds and four-fifths of the sample farms (250) in different years might have experienced no change in productivity. The cluster analysis based on confidence bounds reveals three paths of productivity change. Farms which recorded an increase in productivity at... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Malmquist indices; Bootstrapping; Poland; Farms; Productivity change; Productivity Analysis; D24; Q12; C6. |
| Ano: 2005 |
URL: http://purl.umn.edu/24572 |
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| Latruffe, Laure; Balcombe, Kelvin George; Davidova, Sophia; Zawalinska, Katarzyna. |
| The technical and scale efficiency of Polish farms is analysed, using Data Envelopment Analysis. Efficiency differences are measured according to farm specialisation, in crop or livestock, at two points in time during transition, 1996 and 2000. The statistical variability of efficiency estimates is investigated. The efficiency results are reviewed in the light of confidence intervals provided by bootstrapping and of a summary measure introduced in this study 'the coefficient of separation'. The inference analysis suggests that farms might be less efficient than revealed by the point estimates alone, and that they might not be clearly different from each other. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Productivity Analysis. |
| Ano: 2003 |
URL: http://purl.umn.edu/25894 |
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