Decomposition of Productivity Growth Using Distance Functions: The Case of Dairy Farms in Three European Countries
By Bernhard Brümmer, T. Glauben, G. Thijssen. 2002
259 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Agricultural and Biological Sciences, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/260bae22113843fbcc2c73864d22463803bcd5ad
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Citations in the corpus
- Policy reform and productivity change in Chinese agriculture: A distance function approach /доклад на 10 конгрессе ЕААЕ, Exploring Diversity in the European Agri-Food System, Zaragoza, Spain, 28-31 August 2002 (2006, background): “Together with the price increase, the procurement quota for grain and oil crops was successively decreased.”
- A Bayesian Approach to Imposing Curvature on Distance Functions (2005, methodology): “They have also been used to measure and decompose productivity growth through time – see the analysis of Spanish insurance companies by Fuentes, Grifell-Tatje and Perelman (2001), the analysis of Spanish savings banks by Orea (2002), and the study by Brummer, Glauben and Thijssen (2002) which meas”
- Technical efficiency and productivity differentials of dairy farms in three EU countries: the role of CAP subsidies (2012, methodology): “This classification is in line with other applications in the literature (e.g. Brümmer et al., 2002).”
- Integrating spatial dependence into stochastic frontier analysis (2012, methodology): “Assuming a translog functional form for the parametric distance function with M outputs and K inputs o ers several attractive properties including exibility, as well as making it easy to derive and permit the imposition of homogeneity, which makes it the preferred form in the literature (Coelli and ”
- The use of bootstrapped Malmquist indices to reassess productivity change findings: an application to a sample of Polish farms (2008, unknown): “They all computed Malmquist indices, measuring changes in productivity and its components – technical efficiency and technology change (Brümmer et al., 2002; Zawalinska, 2003; Latruffe, 2004; Piesse et al., 2004).”