Growth, Decomposition, and Instability Analysis of Pearl Millet in Jodhpur Region and Rajasthan, India

K. C. Bairwa, H. Balai, M. L. Meena, S. Bairwa, Dasharath Prasad
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Abstract

Aims: The main purpose of this study was to examine the growth, instability and source of output growth in area, production and productivity of pearl millet in Jodhpur & Barmer districts, Jodhpur Region and entire Rajasthan. Study Design: The present study was completely based on secondary time series data. Place & Duration of Study: This study area was covered to Jodhpur & Barmer districts, Jodhpur Region and entire Rajasthan. The entire study period was divided into three sub-periods viz., period-I (2006-07 to 2013-14), Period-II (2014-15 to 2021-22) and Overall period (2006-07 to 2021-22). Methodology: The time series data were analyzed using statistical tools exponential growth model, Cuddy-Della Valle instability index and Minhas & Vaidyanthan decomposition model to accomplish the study’s objectives. Results: The results of the study indicated that highest growth rate were observed in the productivity (36.20%) and production (30.83%) of pearl millet in Barmer district during period-I. The maximum variability was observed in production (77.88%) and productivity (77.30%) of pearl millet in Barmer district during period-II. The yield effect (300.43%) was reported as major contributor to boost-up the production of pearl millet in selected study area. The state government should establish Agri-Export Zones for millet crops in the state. Conclusion: The highest growth rate was recorded in pearl millet’s productivity in Barmer district. The highest instability was reported in production of pearl millet in Barmer district. Yield effect was major source of output growth in production of pearl millet in Barmer district.
印度焦特布尔地区和拉贾斯坦邦珍珠黍的生长、分解和不稳定性分析
研究目的:本研究的主要目的是考察焦特布尔和巴莫尔地区以及整个拉贾斯坦邦珍珠粟面积、产量和生产率的增长、不稳定性和产出增长的来源。研究设计:本研究完全基于二级时间序列数据。研究地点和时间:研究范围包括焦特普尔和巴莫县、焦特普尔地区和整个拉贾斯坦邦。整个研究期间分为三个分期,即第一期(2006-07 年至 2013-14 年)、第二期(2014-15 年至 2021-22 年)和总体期(2006-07 年至 2021-22 年)。分析方法:使用指数增长模型、Cuddy-Della Valle 不稳定指数和 Minhas & Vaidyanthan 分解模型等统计工具对时间序列数据进行分析,以实现研究目标。研究结果研究结果表明,在第一阶段,巴莫地区珍珠粟的生产力(36.20%)和产量(30.83%)增长率最高。在第二阶段,巴莫地区珍珠粟的产量(77.88%)和生产率(77.30%)变化最大。据报告,产量效应(300.43%)是提高选定研究地区珍珠粟产量的主要因素。州政府应在该州建立小米作物农业出口区。结论巴尔默地区的珍珠粟产量增长率最高。巴莫地区珍珠粟产量的不稳定性最高。产量效应是巴莫地区珍珠粟产量增长的主要来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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