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Employment Generation, Increasing Productivity and Improving Food Security through Farming Systems Technologies in the Monga Regions of Bangladesh

机译:通过孟加拉国蒙加地区的耕作系统技术创造就业机会,提高生产率并改善粮食安全

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Monga is seasonal food insecurity in ecologically vulnerable and economically weak parts of north-western Bangladesh, primarily caused by an employment and income deficit before Transplanted aman paddy (summer rice) harvest. It mainly affects those rural poor, who have an undiversified income that is directly or indirectly based on agriculture. Rangpur and Lalmonirhat districts under greater Rangpur region are severely affected by Monga . For increasing employment and food accessibility in these regions this study was undertaken. The farm accounting data for this empirical application have been collected from two districts (Rangpur and Lalmonirhat) of greater Rangpur through a farm management survey. A sample of 90 farms from each district has been surveyed taking 30 from marginal, 30 from small and 30 from medium farm groups using random sampling technique method. Farmers get lower return due to lack of crop diversification. Linear programming model used to produce optimum farm plans for marginal, small and medium farms (i) by reorganization of existing resources (ii) by combination of improved technologies with existing technologies. For increasing food accessibility and employment, optimum farm plans by reorganization of improved technology have been conducted among six farmers in the study villages at 2010-2011. By reorganization of existing cropping patterns (using Linear Programing Model) gross output (7% to 21%), gross margin (12% to 20%) and labour employment (6% to 20%) have been increased from plan1 (existing plan) to plan 2 (by reorganization of existing lands). The cause of increase gross output, gross margin and labour employment was some cultivated land from less efficient cropping patterns has been transferred to more efficient cropping patterns. Again, by reorganization of existing and improved cropping patterns, some lands of existing patterns have been shifted to improved cropping pattern. As a result, gross out (17% to 31%), gross margin (27% to 32%) and labour employment (13% to 26%) have been raised from plan1 to plan 3 (by combination of improved technologies with existing technologies). The result of on farm demonstration showed gross output, gross margin and labour employment have been increased 24% to 53%, 32% to 51% and 12% to 47% from plan1 to plan 3, respectively. So, this study suggest, optimum farm plan with the combination of existing and improved cropping pattern will increase farm output and generate additional employment.
机译:孟加是孟加拉国西北部生态脆弱和经济薄弱地区的季节性粮食不安全状况,主要是由于移栽阿曼稻(夏季稻)之前的就业和收入不足所致。它主要影响那些收入不均直接或间接基于农业的农村贫困人口。大朗布尔地区下的朗布尔和拉莫尼哈特地区受到蒙加的严重影响。为了增加这些地区的就业和食物可获得性,进行了这项研究。通过农场管理调查从大朗布尔的两个地区(朗布尔和拉莫尼哈特)收集了用于此经验应用的农场会计数据。已使用随机抽样技术方法对每个地区的90个农场进行了抽样调查,分别从边缘农场中的30个,小型农场中的30个和中型农场中的30个开始。由于缺乏农作物多样化,农民获得的回报较低。线性规划模型用于为边缘,中小型农场制定最佳农场计划(i)通过重组现有资源(ii),将改进的技术与现有技术相结合,来制定最佳的农场计划。为了增加获得食物的机会和就业,在2010-2011年间,通过研究技术的重组,在研究村庄的六名农民中制定了最佳农场计划。通过重组现有的种植方式(使用线性规划模型),总产值(7%至21%),毛利率(12%至20%)和劳动力就业(6%至20%)比计划1(现有计划)增加了规划2(通过重组现有土地)。导致总产,毛利率和劳动力就业增加的原因是一些耕地从低效的种植方式转变为高效率的种植方式。同样,通过重组现有耕作方式和改善耕作方式,一些现有耕作方式的土地已转移至改良耕作方式。结果,通过改进技术与现有技术的结合,从计划1到计划3提高了总毛额(17%至31%),毛利率(27%至32%)和劳动力就业(13%至26%) )。农场示范的结果表明,从计划1到计划3,总产值,毛利率和劳动就业分别增加了24%至53%,32%至51%和12%至47%。因此,这项研究表明,结合现有种植方式和改良种植方式的最佳农业计划将增加农业产量并创造更多就业机会。

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