Learning in Organic Farming An Application on Finnish Dairy Farms
Organic farming technology may be relatively unknown to farmers at the time when they switch from conventional into organic farming. Therefore, experience gained over time and learning by doing may be important determinants in the efficiency of organic farming. It may also take time to reach the optimal nutrient stock of soil and optimal nutrient supply for arable crops under organic farming. Thus, efficiency of organic farming can either grow or decrease over time depending on the nature of the technology and the learning process. This paper estimates technical efficiency of organic farming and its development over time. We control for possible selection bias and regional heterogeneity when estimating a stochastic frontier distance functions for a sample of conventional and organic dairy farms in Finland. The results suggest that organic dairy farms are less technically efficient than conventional farms. Technical efficiency at first diminishes when the conversion towards organic production starts. After 6 years from the switch, technical efficiency starts to increase again. The estimates signal that the length of the conversion and learning process of organic farming is in average 6-7 years.
|Date of creation:||2005|
|Date of revision:|
|Contact details of provider:|| Web page: http://www.eaae.org|
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Bernhard Brümmer & Thomas Glauben & Geert Thijssen, 2002. "Decomposition of Productivity Growth Using Distance Functions: The Case of Dairy Farms in Three European Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 628-644.
- Alfons Oude Lansink & Ky–sti Pietola, 2002. "Effciency and productivity of conventional and organic farms in Finland 1994--1997," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 29(1), pages 51-66, March.
- Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
- Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-32.
- Rougoor, Carin W. & Trip, Ger & Huirne, Ruud B.M. & Renkema, Jan A., 1998. "How to define and study farmers' management capacity: theory and use in agricultural economics," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 18(3), May.
- Kumbhakar, Subal C & Bhattacharyya, Arunava, 1992. "Price Distortions and Resource-Use Efficiency in Indian Agriculture: A Restricted Profit Function Approach," The Review of Economics and Statistics, MIT Press, vol. 74(2), pages 231-39, May.
- Battese, George E. & Heshmati, Almas & Hjalmarsson, Lennart, 1998.
"Efficiency of Labour Use in the Swedish Banking Industry: A Stochastic Frontier Approach,"
SSE/EFI Working Paper Series in Economics and Finance
289, Stockholm School of Economics, revised 13 Apr 1999.
- George E. Battese & Lennart Hjalmarsson & Almas Heshmati, 2000. "Efficiency of labour use in the Swedish banking industry: a stochastic frontier approach," Empirical Economics, Springer, vol. 25(4), pages 623-640.
- Rougoor, Carin W. & Trip, Ger & Huirne, Ruud B. M. & Renkema, Jan A., 1998. "How to define and study farmers' management capacity: theory and use in agricultural economics," Agricultural Economics, Blackwell, vol. 18(3), pages 261-272, May.
- Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-86, July.
- Heckman, James, 2013.
"Sample selection bias as a specification error,"
Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
- Mundlak, Yair, 1996. "Production Function Estimation: Reviving the Primal," Econometrica, Econometric Society, vol. 64(2), pages 431-38, March.
- Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
- Stijn Reinhard & C.A. Knox Lovell & Geert Thijssen, 1999. "Econometric Estimation of Technical and Environmental Efficiency: An Application to Dutch Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 44-60.
When requesting a correction, please mention this item's handle: RePEc:ags:eaae05:24493. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If references are entirely missing, you can add them using this form.