Stochastic Frontier Analysis of Technical Efficiency in swine Production in Nakhon Si Thammarat Province

Authors

  • Kornkamon Sena Faculty of Economics and Business Administration, Thaksin University
  • Pongsapak Saeliow Faculty of Economics and Business Administration, Thaksin University

DOI:

https://doi.org/10.55164/ecbajournal.v17i1.273889

Keywords:

Productivity, Swine, Technical Efficiency, Farmers

Abstract

This study has the following objectives: (1) To measure the level of technical efficiency in swine production, (2) To examine the production factors affecting the quantity of swine production, and (3) To investigate the factors contributing to inefficiency in swine production. Data were collected from interviews with 300 swine farming households in Nakhon Si Thammarat province, and the technical efficiency of swine production was analyzed using the Stochastic Frontier Analysis (SFA) model by estimating the production function in the form of the Cobb-Douglas Production Function using the Maximum Likelihood Estimation method.

The study found that breeding stock, farm size, labor, medicines and veterinary supplies, feed, and utility costs all positively influence the flexibility of pig production. The average technical inefficiency in pig production was found to be 0.70, reflecting a low level of technical efficiency. Regarding the factors affecting inefficiency in production, the study found that farmers' income has a positive effect on technical inefficiency in pig production. In addition, years of education and age negatively impact production inefficiency. These findings are beneficial to pig farmers in improving production efficiency through proper sanitary practices. At the same time, government agencies can use this information to develop capacities and improve policies to enhance the country's economic potential

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Published

2025-01-29

How to Cite

Sena, K. ., & Saeliow, P. (2025). Stochastic Frontier Analysis of Technical Efficiency in swine Production in Nakhon Si Thammarat Province. Economics and Business Administration Journal Thaksin University, 17(1), 127–144. https://doi.org/10.55164/ecbajournal.v17i1.273889

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Section

Research Article