Nazma Akter
Lecturer
Lecturer, Department of Basic and Social Science, Chittagong Veterinary and
Animal Sciences University, Chittagong;
W. M.H. Jaim
Professor,
Professor, Department of Agricultural Economics, Bangladesh Agricultural University, Mymensingh.
Uttam Kumar Deb
Research Director
Research Director, Centre for Policy Dialogue (CPD), Dhaka, Bangladesh.
Magnitude, Production Major food grain
Socio-economic and Policy
The data required for this study relate to aggregate (national) and district (regional) level data of major food grain crops (Aus rice, Aman rice, Boro rice and wheat). The data used here were collected from the published documents of the Bangladesh Bureau of Statistics (BBS). Data relating to the 1979/80-1998/99 were obtained from BBS (1985, 1987, 1989, 1993, 1997 and 2001). These data were however checked with other published and unpublished data sources and corrected when major errors were detected. Magnitude of changes in production variability and their sources for major foodgrainsAus rice, Aman rice, Boro rice and wheat were measured between the two time periods. The first period was before full-implementation of privatization policies which covered the period from 1979/80-1988/89 and the second period was after full-implementation of privatization polices, covering the period from 1989/90 to 1998/99. Analysis was done both at national and regional levels. In this study, the country was disaggregated into 21 regions, which considered with the former 23 districts. The regions are: Chittagong, Chittagong Hill Tracts (Rangamati, Bandarban, Khagrachari), Comilla, Noakhali, Sylhet, Dhaka, Faridpur, Jamalpur, Kishoreganj, Mymensingh, Tangail, Borisal, Jossore, Khulna, Kushtia, Patuakhali, Bogra, Dinajpur, Pabna, Rajshahi and Rangpur. In the case of wheat, Chittagong, Chittagong Hill Tracts, Noakhali, Barisal, Khulna and Patuakhali districts have been considered together as `Other regions' due to their small figures. Absolute and relative changes in area, yield and production variability were measured in the study. For measuring instability in area, production and yield of the selected foodgrain crops, their changes in standard deviation by regions were at first estimated between the two periods. Of the various measures of absolute dispersion, standard deviation was used because it is the most suitable method for measuring deviations in time series data (Croxton et. al., 1975). The standard deviation is an absolute measure of dispersion, hence the corresponding relative measure i.e., coefficient of variation was used to measure the instability and its change between the two periods. The sum of square of the deviations of each observation from the mean of the observations was used to compute the coefficient of variation (C.V.).
Bangladesh J. Agric. Econs XXX, 1(2007) 39-56
Journal