Islam M. A.
Senior Assistant Secretary (OSD)
Ministry of Public Administration , Bangladesh Secretariat , Dhaka, Bangladesh, Presently, Ph.D Student, Graduate School for International Development and Cooperation, Hiroshima University 1-5-1 Kagamiyama, Higashi - Hiroshima, 739-8529 Japan.
Maharjan K. L.
Professor
Graduate School for International Development and Cooperation , Hiroshima University 1- 5 - 1 Kagamiyama, Higashi-Hiroshima, 739 - 8529 Japan.
Stochastic frontier approach, Maximum likelihood estimation, Ordinary least square regression method, Land tenure, Agricultural production.
Basail upazila of Tangail and Titas upazila of Comilla district in Bangladesh.
Socio-economic and Policy
Impact, Efficiency
(a) Description of the Study location and sampling technique adopted: This study was carried out at Basail upazila of Tangail district and Titas upazila of Comilla district in Bangladesh. The area of Basail upazila was 158 sq.km , and population was 76,002.The area of Titas upazila was 107.19 sq.km, and population was 183,425. These two Upazilas were selected as farmers of these two Upazilas were getting proper agricultural support of the government due to location advantage, which can represent the overall farming characteristics of the country. The purposive stratified sampling technique was followed as the share of owner, owner cum tenant and tenant farmers were very disproportionate in the study areas( DAE, 2013 ).
(b) Method of data collection and period of study: Three hundred respondents were taken equally one hundred for each category and fifty respondents from each upazila. Data were collected in survey method from January, 2013 - March, 2013 to trace out the proper factors of technical efficiency under different land tenure arrangements based on the cultivated crops in a cropping year. The major cultivated crops in the study areas were HYV Boro, T. Aman and B. Aman. Mustard, jute, wheat or pulses were cultivated as minor crops. Normally two or three crops were cultivated in each plot of land among these crops in a year.
(c) Analytical technique adopted: The collected data were analyzed by using STATA9. Stochastic frontier model was used to measure the technical efficiency of the different categories of farmers based on their average gross revenue of output ha-1 in the cultivated various types of land.This study considers the stochastic frontier approach with the assumption that the actual production cannotexceed the maximum possible production with the given input quantities and it is suggested to determine the factors responsible for inefficiency (Aigner et al.,1977 and Meeusen and van den Broeck,1977). It was used in a two stage procedure. In the first stage, TE was computed and in the second stage socioeconomic variables of farm households were regressed against this TE using ordinary least square(OLS) regression method to identify their impact.Since the value of TE is 0
The stochastic frontier model, the likelihood function model, Empirical model (for production and TE) were use to fulfill the objectives of the research.
All of these stochastic frontier model, ANOVA and regression analysis were used based on overall study areas. For the regression analysis OLS method was used, because OLS is easier to analyze mathematically than many other regression technique. It produces solution those are easily interpretable; OLS is the best unbiased linear estimator of the model coefficient. Moreover, robust regression technique of this OLS model mitigates the problem of data variation. Before running this OLS model data were validated using Variance Inflation Factor(VIF) and robust regression method for multicollinearity and heteroskedasticity.
This OLS model was used in the many other similar studies including the study conducted by Ahmed (2012),on Agricultural Land Tenancy. This OLS model was also used in the study on Farm Productivity and efficiency in Rural Bangladesh: The role of Education Revisited (Asadullah,2005).
Bangladesh J. Agril. Res. 40 (3): 347 - 361 , September 2015, ISSN 0258 - 7122
Journal