Estimating Heterogeneous Capacity and Capacity Utilization in a Multi-Species Fishery
AbstractWe use a stochastic production frontier model to investigate the presence of heterogeneous production and its impact on fleet capacity and capacity utilization in a multi-species fishery. Furthermore, we propose a new fleet capacity estimate that incorporates complete information on the stochastic differences between each vessel-specific technical efficiency distribution. Results indicate that ignoring heterogeneity in production technologies within a multi-species fishery, as well as the complete distribution of a vessel's technical efficiency socre, may yield erroneous fleet-wide production profiles and estimates of capacity. Furthermore, our new estimate of capacity enables out-of-sample production predictions predicated on either homogeneity or heterogeneity modeling which may be utuilized to facilitate policy.
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Bibliographic InfoPaper provided by Center for Policy Research, Maxwell School, Syracuse University in its series Center for Policy Research Working Papers with number 86.
Length: 36 pages
Date of creation: Nov 2006
Date of revision:
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More information through EDIRC
fishery capacity; heterogeneous production; latent class modeling;
Other versions of this item:
- Ronald Felthoven & William Horrace & Kurt Schnier, 2009. "Estimating heterogeneous capacity and capacity utilization in a multi-species fishery," Journal of Productivity Analysis, Springer, vol. 32(3), pages 173-189, December.
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
- N50 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries - - - General, International, or Comparative
This paper has been announced in the following NEP Reports:
- NEP-AGR-2006-12-04 (Agricultural Economics)
- NEP-ALL-2006-12-04 (All new papers)
- NEP-EFF-2006-12-04 (Efficiency & Productivity)
- NEP-ENV-2006-12-04 (Environmental Economics)
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.:
- Johan A. Mistiaen & Ivar E. Strand, 2000. "Location Choice of Commercial Fishermen with Heterogeneous Risk Preferences," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(5), pages 1184-1190.
- 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.
- Anderson, Christopher M. & Putterman, Louis, 2006.
"Do non-strategic sanctions obey the law of demand? The demand for punishment in the voluntary contribution mechanism,"
Games and Economic Behavior,
Elsevier, vol. 54(1), pages 1-24, January.
- Louis Putterman & Christopher M. Anderson, 2003. "Do Non-strategic Sanctions Obey the Law of Demand? The Demand for Punishment in the Voluntary Contribution Mechanism," Working Papers 2003-15, Brown University, Department of Economics.
- Antonio Alvarez & Peter Schmidt, 2006. "Is skill more important than luck in explaining fish catches?," Journal of Productivity Analysis, Springer, vol. 26(1), pages 15-25, August.
- Tom Kompas & Tuong Nhu Che & R. Quentin Grafton, 2003.
"Technical efficiency effects of input controls: evidence from Australia's banana prawn fishery,"
International and Development Economics Working Papers
idec03-3, International and Development Economics.
- Tom Kompas & Tuong Nhu Che & R. Quentin Grafton, 2004. "Technical efficiency effects of input controls: evidence from Australia's banana prawn fishery," Applied Economics, Taylor & Francis Journals, vol. 36(15), pages 1631-1641.
- Tom Kompas & Tuong Nhu Che & R. Quentin Grafton, 2003. "Technical Efficiency Effects of Input Controls: Evidence from Australia's Banana Prawn Fishery," Economics and Environment Network Working Papers 0304, Australian National University, Economics and Environment Network.
- James E. Kirkley & Dale Squires & Mohammad Ferdous Alam & Haji Omar Ishak, 2003. "Excess Capacity and Asymmetric Information in Developing Country Fisheries: The Malaysian Purse Seine Fishery," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(3), pages 647-662.
- Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
- Ronald G. Felthoven & Catherine J. Morrison Paul, 2004. "Multi-Output, Nonfrontier Primal Measures of Capacity and Capacity Utilization," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(3), pages 619-633.
- William C. Horrace, 2003.
"On Ranking and Selection from Independent Truncated Normal Distributions,"
- Horrace, William C., 2005. "On ranking and selection from independent truncated normal distributions," Journal of Econometrics, Elsevier, vol. 126(2), pages 335-354, June.
- Weninger, Quinn & Waters, James R., 2003.
"Economic Benefits of Management Reform in the Northern Gulf of Mexico Reef Fish Fishery,"
Staff General Research Papers
10828, Iowa State University, Department of Economics.
- Weninger, Quinn & Waters, James R., 2003. "Economic benefits of management reform in the northern Gulf of Mexico reef fish fishery," Journal of Environmental Economics and Management, Elsevier, vol. 46(2), pages 207-230, September.
- Train,Kenneth E., 2009.
"Discrete Choice Methods with Simulation,"
Cambridge University Press, number 9780521766555, April.
- Provencher, Bill & Bishop, R.C.Richard C., 2004. "Does accounting for preference heterogeneity improve the forecasting of a random utility model? A case study," Journal of Environmental Economics and Management, Elsevier, vol. 48(1), pages 793-810, July.
- Schnier, Kurt E. & Anderson, Christopher M., 2006. "Decision making in patchy resource environments: Spatial misperception of bioeconomic models," Journal of Economic Behavior & Organization, Elsevier, vol. 61(2), pages 234-254, October.
- Smith, Martin D., 2005. "State dependence and heterogeneity in fishing location choice," Journal of Environmental Economics and Management, Elsevier, vol. 50(2), pages 319-340, September.
- El-Gamal, Mahmoud A. & Grether, David M., 1995. "Are People Bayesian? Uncovering Behavioral Strategies," Working Papers 919, California Institute of Technology, Division of the Humanities and Social Sciences.
- Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
- Alfonso Flores-Lagunes & William C. Horrace & Kurt E. Schnier, 2006.
"Identifying Technically Efficient Fishing Vessels: A Non-Empty, Minimal Subset Approach,"
Center for Policy Research Working Papers
78, Center for Policy Research, Maxwell School, Syracuse University.
- Alfonso Flores-Lagunes & William C. Horrace & Kurt E. Schnier, 2007. "Identifying technically efficient fishing vessels: a non-empty, minimal subset approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 729-745.
- Sean Pascoe & Louisa Coglan, 2002. "The Contribution of Unmeasurable Inputs to Fisheries Production: An Analysis of Technical Efficiency of Fishing Vessels in the English Channel," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 585-597.
- Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
- 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.
- Fare, Rolf & Grosskopf, Shawna & Kokkelenberg, Edward C, 1989. "Measuring Plant Capacity, Utilization and Technical Change: A Nonparametric Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(3), pages 655-66, August.
- Kurt E. Schnier & Christopher M. Anderson & William C. Horrace, 2006. "Estimating Heterogeneous Production in Fisheries," Center for Policy Research Working Papers 80, Center for Policy Research, Maxwell School, Syracuse University.
- Reid, Christopher & Squires, Dale & Jeon, Yongil & Rodwell, Len & Clarke, Raymond, 2003. "An analysis of fishing capacity in the western and central Pacific Ocean tuna fishery and management implications," Marine Policy, Elsevier, vol. 27(6), pages 449-469, November.
- 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.
- Tom Kompas & Tuong Nhu Che, 2003. "Efficiency Gains and Cost Reductions from Individual Transferable Quotas: A Stochastic Cost Frontier for," International and Development Economics Working Papers idec03-6, International and Development Economics.
- Riccardo Scarpa & Mara Thiene, 2004. "Destination Choice Models for Rock Climbing in the Northeast Alps: A Latent-Class Approach Based on Intensity of Participation," Working Papers 2004.131, Fondazione Eni Enrico Mattei.
- Solís, Daniel & del Corral, Julio & Perruso, Larry & Agar, Juan J., 2014. "Evaluating the impact of individual fishing quotas (IFQs) on the technical efficiency and composition of the US Gulf of Mexico red snapper commercial fishing fleet," Food Policy, Elsevier, vol. 46(C), pages 74-83.
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