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Pattern of investment allocation to chemical inputs and technical efficiency: A stochastic frontier analysis of farm households in Laguna, Philippines

  • Velarde, Orlee
  • Pede, Valerien O.

This study focuses on the pattern between investment in chemical inputs such as fertilizer, pesticides and herbicides and technical efficiency of farm households in Laguna, Philippines. Using a one‐stage maximum likelihood estimation procedure, the stochastic production frontier model was estimated simultaneously with the determinants of efficiency. Results show that farmers with a low technical efficiency score have a high investment share in chemical inputs. Farmers who invested more in chemical inputs relative to other variable inputs attained the same or even lower output and were less efficient than those farmers who invested less. The result shows that farmers who invested wisely in chemical inputs can encourage farmers to apply chemical inputs more optimally.

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File URL: http://purl.umn.edu/152203
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Paper provided by Australian Agricultural and Resource Economics Society in its series 2013 Conference (57th), February 5-8, 2013, Sydney, Australia with number 152203.

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Date of creation: Feb 2013
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Handle: RePEc:ags:aare13:152203
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  1. Richard T. Yao & Gerald E. Shively, 2007. "Technical Change and Productive Efficiency: Irrigated Rice in the Philippines ," Asian Economic Journal, East Asian Economic Association, vol. 21(2), pages 155-168, 06.
  2. Ahmad, Munir & Chaudhry, Ghulam Mustafa & Iqbal, Muhammad, 2002. "Wheat Productivity, Efficiency, and Sustainability: A Stochastic Production Frontier Analysis," MPRA Paper 3672, University Library of Munich, Germany, revised 2002.
  3. 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.
  4. Marinda, Pamela & Bangura, Arnold & Heidhues, Franz, 2006. "Technical Efficiency Analysis in Male and Female-Managed Farms: A Study of Maize Production in West Pokot District, Kenya," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25599, International Association of Agricultural Economists.
  5. 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.
  6. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-44, June.
  7. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
  8. Villano, Renato A. & Fleming, Euan M., 2004. "Analysis of Technical Efficiency in a Rainfed Lowland Rice Environment in Central Luzon Philippines Using a Stochastic Frontier Production Function with a Heteroskedastic Error Structure," Working Papers 12906, University of New England, School of Economics.
  9. Alene, Arega D. & Hassan, Rashid M., 2003. "Measuring The Impact Of Ethiopia'S New Extension Program On The Productive Efficiency Of Farmers," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25919, International Association of Agricultural Economists.
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