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dc.contributor.authorKhan, M. I.
dc.contributor.authorBhuiyan, S. R.
dc.date.accessioned2021-03-31T04:29:56Z
dc.date.available2021-03-31T04:29:56Z
dc.date.issued2011-12
dc.identifier.urihttp://publications.bsmrau.edu.bd/handle/123456789/1139
dc.description.abstractAbstract : Y. present study examined growth and supply response of maize in Bangladesh. Tr»s':c series data from 1981-82 to 2000-2001 had been used. Linear and exponential functions were used for computing growth rates. The double-log form of the Nerlovian Partial Adjustment Model was employed for estimating supply response. The findings showed that the absolute growth in area was found highest for Khulna but least for Chittagong. Annual yield growth was found highest for Dhaka division and lowest for Chittagong division. Khulna and Chittagong division registered the highest and lowest compound growth rates in production. The coefficient of own price lagged by one year was found positive in areas of Dhaka and Khulna divisions. Yield growths were found positive in Dhaka, Rajshahi and overall Bangladesh. The other effects of competing crops lagged by one year, annual average rainfall, the coefficient of the time trend variable on maize acreage and yield were also estimated. The study indicated that the growths of area, yield and production of maize found positively significant in all divisions and overall Bangladesh that has serious implication on the national policy of attaining or maintaining food grain self-sufficiency in Bangladesh.en_US
dc.description.sponsorshipBSMRAUen_US
dc.language.isoenen_US
dc.publisherBSMRAUen_US
dc.relation.ispartofseriesVol-1 & 2;
dc.subjectBangladesh Grouth Supplyen_US
dc.subjectmaizeen_US
dc.subjectmodelen_US
dc.titleGrowth and supply response of maize in bangladesh: an application of exponential growth model and nerlovian partial adjustment modelen_US
dc.typeArticleen_US


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