Measuring productivity change using alternative input–output concepts: A farm level application using FADN data
Multifactor productivity growth measures can be constructed using different input–output concepts. We estimate three distinct productivity growth measures respectively based on gross output, value added, and cash flow and discuss their economic interpretation. By making use of an index theory based decomposition model, we deviate from making neo-classical assumptions and acknowledge the role of profits. Applying the productivity growth index framework to farm level Flemish FADN data (1990–2003), we show that the estimated percentage growth of productivity is sensitive to the input–output concept under consideration. The empirical practicability of these complementary productivity growth measures depends on the purpose of measurement.
|Date of creation:||Jun 2013|
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- Coelli, Tim J. & Perelman, Sergio & Van Lierde, Dirk, 2006. "CAP Reforms and Total Factor Productivity Growth in Belgian Agriculture: A Malmquist Index Approach," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25472, International Association of Agricultural Economists.
- Bernhard Br�mmer & 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.
- Catherine Benjamin & Euan Phimister, 2002. "Does Capital Market Structure Affect Farm Investment? A Comparison using French and British Farm-Level Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 1115-1129.
- Antonio Alvarez & Julio del Corral, 2010. "Identifying different technologies using a latent class model: extensive versus intensive dairy farms," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 37(2), pages 231-250, June.
- Jean-Christophe Bureau & Rolf Färe & Shawna Grosskopf, 1995. "A Comparison Of Three Nonparametric Measures Of Productivity Growth In European And United States Agriculture," Journal of Agricultural Economics, Wiley Blackwell, vol. 46(3), pages 309-326.
- Bert M. Balk, 2010. "An Assumption-Free Framework For Measuring Productivity Change," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(s1), pages S224-S256, 06.
- V. Eldon Ball & Frank M. Gollop & Alison Kelly-Hawke & Gregory P. Swinand, 1999. "Patterns of State Productivity Growth in the U.S. Farm Sector: Linking State and Aggregate Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 164-179.
- V. Eldon Ball & Jean-Christophe Bureau & Richard Nehring & Agapi Somwaru, 1997. "Agricultural Productivity Revisited," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1045-1063.
- V. Eldon Ball & Jean‐Pierre Butault & Carlos San Juan & Ricardo Mora, 2010. "Productivity and international competitiveness of agriculture in the European Union and the United States," Agricultural Economics, International Association of Agricultural Economists, vol. 41(6), pages 611-627, November.
- José E. Bervejillo & Julian M. Alston & Kabir P. Tumber, 2012. "The benefits from public agricultural research in Uruguay," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 475-497, October.
- V. Ball & Jean-Christophe Bureau & Jean-Pierre Butault & Richard Nehring, 2001. "Levels of Farm Sector Productivity: An International Comparison," Journal of Productivity Analysis, Springer, vol. 15(1), pages 5-29, January.
- Eric J. Bartelsman & Mark Doms, 2000.
"Understanding productivity: lessons from longitudinal microdata,"
Finance and Economics Discussion Series
2000-19, Board of Governors of the Federal Reserve System (U.S.).
- Mark Doms & Eric J. Bartelsman, 2000. "Understanding Productivity: Lessons from Longitudinal Microdata," Journal of Economic Literature, American Economic Association, vol. 38(3), pages 569-594, September.
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