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Long Term Performance of Cereals in Gujarat - An Empirical Analysis

机译:古吉拉特邦谷物的长期表现-实证分析

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High growth in agriculture sector was observed in Gujarat during recent years. This was mainly attributed to shift in cropping pattern of the state towards high value crops. Hence this particular study was conducted to know the status of cereal crops in the state by assessing the performance of cereals crops on long term basis using most recent and powerful statistical tools. Secondary time series data on area, production and yield of cereal crops was collected from Season and Crop Reports, Department of Economics and Statistics (DES), Government of Gujarat, online data bank of International Crop Research Institute for Semi-Arid Tropics and Economic and Political Weekly (EPW) data bank for the period from 1970-71 to 2011-12. Best fit non-linear model was fitted and parameters of the model were estimated using Marquardt algorithm. Instability was estimated by constructing Cuddy-Della Valle Index. Result shows that, production of cereal crops in the state has increased mainly because of improvement in the yield. The productivity of cereal crops was notably improved after the year 1991 in all the parts of state. Area under cereals has registered negative growth during entire study period at state as well as at district level also. The significant reduction in the magnitude of yield instability was recorded in the second sub-period of study, which helps to reduce the instability in production during the same period. More fluctuation in area under cereals crops was observed in second sub period of the study. It was observed that, yield variability was a most important source of instability in production of cereal crops. Hence, it is appropriate to adopt the yield stabilisation measure in cereal crops in the state.
机译:近年来,古吉拉特邦观察到农业部门的高增长。这主要归因于该州的种植方式向高价值作物的转变。因此,通过使用最新且功能强大的统计工具,通过长期评估谷物作物的表现,进行了这项特殊研究,以了解该州谷物作物的状况。谷类作物面积,产量和单产的次级时间序列数据来自古吉拉特邦经济和统计部季节和作物报告,古吉拉特邦政府,国际半干旱热带作物研究所和经济及农业研究中心在线数据库1970-71年至2011-12年间的政治周刊(EPW)数据库。拟合了最佳拟合非线性模型,并使用Marquardt算法估算了模型的参数。通过构建Cuddy-Della Valle指数来估计不稳定性。结果表明,该州谷物作物的产量增加的主要原因是产量提高。 1991年以后,该州所有地区的谷物作物的生产力均得到显着提高。在整个研究期间,州和地区一级的谷物种植面积均出现负增长。在第二个研究阶段记录了产量不稳定性幅度的显着降低,这有助于减少同期的生产不稳定性。在研究的第二子阶段,观察到谷物作物下的面积波动更大。据观察,单产变化是谷物作物生产中最不稳定的最重要来源。因此,在该州的谷物作物中采取稳定产量的措施是适当的。

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