MEAT GOAT ENTERPRISE EFFICIENCY ANALYSIS IN THE SOUTHEASTERN UNITED STATES
Open Access
- 1 February 2016
- journal article
- research article
- Published by Cambridge University Press (CUP) in Journal of Agricultural and Applied Economics
- Vol. 48 (1), 52-72
- https://doi.org/10.1017/aae.2016.1
Abstract
Meat goat enterprise efficiency was estimated using an input distance function (IDF) by applying stochastic production frontier techniques for the southeastern U.S. region. We found increasing returns to scale and scope economies for southeastern U.S. meat goat enterprises. Mean technical efficiency was 0.81. Our results suggest southeastern U.S. meat goat enterprises can be scale efficient if their size of operation is >~60 goats or >40 breeding does. Cost and IDF analyses show input expenses decreased substantially with increasing scale of operations in southeastern U.S. meat goat production. Empirical Monte Carlo simulation techniques show consistency of small-sample properties for the IDF.Keywords
This publication has 18 references indexed in Scilit:
- Returns and determinants of technical efficiency in small-scale Malabari goat production units in Kerala, IndiaTropical Animal Health and Production, 2013
- Measuring scale efficiency from a parametric hyperbolic distance functionJournal of Productivity Analysis, 2012
- One-step and two-step estimation in SFA modelsJournal of Productivity Analysis, 2011
- Monte Carlo Simulation for EconometriciansFoundations and Trends® in Econometrics, 2011
- Capital as a factor of production in OECD agriculture: measurement and dataApplied Economics, 2008
- Urban Influence on Costs of Production in the Corn BeltAmerican Journal of Agricultural Economics, 2006
- Scale Economies and Efficiency in U.S. Agriculture: Are Traditional Farms History?Journal of Productivity Analysis, 2004
- Technical Efficiency and Farmers' Attitudes toward Technological Innovation: The Case of the Potato Farmers in QuebecCanadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 1999
- A NOTE ON THE ESTIMATION OF COBB‐DOUGLAS PRODUCTION FUNCTIONS WHEN SOME EXPLANATORY VARIABLES HAVE ZERO VALUESJournal of Agricultural Economics, 1997
- Regression-based methods for using control variates in Monte Carlo experimentsJournal of Econometrics, 1992