THE INFLUENCE OF ACCOUNTING INFORMATION USE ON SMALL FARM INEFFICIENCY
Jaume Puig‐Junoy, Josep María Adell Argilés, Pompeu Rahola Fabra, Ramón Trías Fargas
Abstract
Jaume Puig‐Junoy, Josep María Adell Argilés, Pompeu Rahola Fabra, Ramón Trías Fargas
Abstract
This paper aims to estimate a translog stochastic frontier production function in the analysis of a balanced panel of 147 mixed Catalan farms in a five-year period (1989-1993), in order to attempt to measure and explain variation in output inefficiency scores with a one-stage approach. The mean output efficiency in the period analysed was estimated to be 62.3%. Using techniques for confidence interval estimation we showed that 62.7 % of the observations present efficiency scores statistically lower than 0.95. In the inefficiency effects model we test the influence of management on technical efficiency by including variables that relate both to personal aspects and to aspects of the decision-making process of the farmer. Fully integrated management based on reliable accounting information and comprising planning and control phases reveals to be a significant factor positively affecting farm efficiency. Farm efficiency levels were also found to be positively influenced by farm size, and farm environmental variables such as rented and irrigated area are seen to negatively influence farm efficiency levels.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper aims to estimate a translog stochastic frontier production function in the analysis of a balanced panel of 147 mixed Catalan farms in a five-year period (1989-1993), in order to attempt to measure and explain variation in output inefficiency scores with a one-stage approach. The mean output efficiency in the period analysed was estimated to be 62.3%. Using techniques for confidence interval estimation we showed that 62.7 % of the observations present efficiency scores statistically lower than 0.95. In the inefficiency effects model we test the influence of management on technical efficiency by including variables that relate both to personal aspects and to aspects of the decision-making process of the farmer. Fully integrated management based on reliable accounting information and comprising planning and control phases reveals to be a significant factor positively affecting farm efficiency. Farm efficiency levels were also found to be positively influenced by farm size, and farm environmental variables such as rented and irrigated area are seen to negatively influence farm efficiency levels.
Key concepts: Inefficiency, Econometrics, Production (economics), Economics, Statistics, Confidence interval, Panel data, Stochastic frontier analysis