AN APPLICATION OF MULTI-CRITERIA DECISION MAKING INCORPORATING STOCHASTIC PRODUCTION FRONTIERS: A CASE STUDY OF ORGANIC COFFEE PRODUCTION IN KONA, HAWAII
DOI10.1111/j.1939-7445.2009.00055.xzbMath1183.91129OpenAlexW2126653059MaRDI QIDQ5190046
Samir A. El-Swaify, James E. T. Moncur, Tadayoshi Masuda, John F. Yanagida
Publication date: 12 March 2010
Published in: Natural Resource Modeling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1939-7445.2009.00055.x
environmental externalitymulti-criteria decision making (MCDM)organic farmingHawaiitechnological constraintKona coffee beltregional welfarestochastic production frontier (SPF)
Multi-objective and goal programming (90C29) Management decision making, including multiple objectives (90B50) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)
Uses Software
Cites Work
- Likelihood functions for generalized stochastic frontier estimation
- Formulation and estimation of stochastic frontier production function models
- Nonlinear multiobjective optimization
- Corrigendum: Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
- Design and Testing of a Generalized Reduced Gradient Code for Nonlinear Programming
- Stochastic Frontier Analysis
- A Class of Solutions for Group Decision Problems
- Regional economic impacts of fish resources utilization from the Barents Sea: Trade-offs between economic rent, employment and income
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