水稻生产的生长与不稳定性:印度西孟加拉邦地区水平分析

Nitiprasad Namdeorao Jambhulkar, Biswajit Mondal, Jaiprakash Bisen, Asit Kumar Pradhan
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引用次数: 0

摘要

西孟加拉邦是印度最大的水稻生产邦。它对全国粮食生产有重要贡献,是重要的大米消费州之一。研究该邦水稻生产的生长规律是十分必要的。没有关于增长率和不稳定性的地区明智信息。此外,生长速率与不稳定性之间的关系尚未得到研究。因此,本研究旨在计算西孟加拉邦地区的水稻生产和产量的地区明智增长率和不稳定性,并研究增长率和不稳定性之间的关系。1983-84年至2019-20年期间,印度农业和农民福利部经济和统计局的地区数据来自印度政府。数据被分成五个时期进行分析。计算了五个时期的复合年增长率和Cuddy-Della山谷不稳定性指数。不稳定性可分为五类。这些类别是非常低不稳定性,低不稳定性,中等不稳定性,高不稳定性和非常高不稳定性。在第一阶段(1983-34年至1989-90年),Nadia地区的面积和产量增长率最高,而在第四阶段(2010-11年至2019-20年),South Dinajpur地区的产量增长率最高。在第四阶段(2010-11至2019-20)和第五阶段(1983-84至2019-20),所有地区的产量和单产增长率均为正。只有一个地区在第一期(1983-84年至1989-90年)和第一期(1983-34年至1989-90年)、第三期(2000-01年至2009-10年)和第四期(2010-11年至2019-20年)的产量出现负增长。在5个时期内,各地区的不稳定性在面积0.63%至26.57%之间,产量1.49%至19.46%之间,产量0.70%至45.95%之间。在面积、产量和产量方面,没有一个地区的不稳定性很高;面积和产量高度不稳定;中等不稳定性为产率。在第1期(1983-34 ~ 1989-90)、第2期(1990-91 ~ 1999-2000)、第3期(2000-01 ~ 2009-10)和第4期(2010-11 ~ 2019-20),大部分地区的面积和产量表现出极低的不稳定性;V期(1983-84 ~ 2019-20)的不稳定性较低。就产量而言,最高数量的地区在第一阶段(1983-34年至1989-90年)、第三阶段(2000-01年至2009-10年)和第五阶段(1983-84年至2019-20年)处于低不稳定状态,而在第二阶段(1990-91年至1999-2000年)和第四阶段(2010-11年至2019-20年)处于极低不稳定状态。面积的增长在零附近移动,这表明面积扩张的空间很小。水稻需求的增加可以通过引进新的高产品种和应用因地制宜的作物管理技术来实现。为此,可以在分类一级建立一个综合数据库,以便在西孟加拉邦的地区一级执行该政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Growth and instability of rice production: a district level analysis in West Bengal, India
West Bengal is the largest rice-producing state in the country. It contributes significantly to the national production pool and is one of the important rice consuming state. It is essential to study the growth pattern of rice production in the state. The district wise information of growth rate and instability is not available. Also the association of growth rate and instability has not been studied. Hence the present study was conducted to compute the district wise growth rate and instability in the area, production and yield of rice in West Bengal state and to examine the association between growth rate and instability. The district-wise data on rice was sourced from the Directorate of Economics and Statistics, Ministry of Agriculture and Farmers Welfare, Government of India for the period 1983-84 to 2019-20. The data has been divided into five periods for analysis. Compound annual growth rate and Cuddy-Della Valle Instability index have been computed for the five periods. The instability was divided into five classes. These classes are very low instability, low instability, medium instability, high instability and very high instability.The highest growth rate for area and production was recorded in Nadia district during period I (1983-34 to 1989-90) while the highest growth rate for yield was recorded in South Dinajpur district during period IV (2010-11 to 2019-20). The growth rate for production and yield was positive for all the districts during periods IV (2010-11 to 2019-20) and V (1983-84 to 2019-20). Only one district recorded a negative growth rate for production during period I (1983-84 to 1989-90) and for yield during the period I (1983-34 to 1989-90), III (2000-01 to 2009-10) and IV (2010-11 to 2019-20). The instability varied from 0.63 to 26.57 percent in area, 1.49 to 19.46 percent in production and 0.70 to 45.95 per cent in yield across the districts over five periods.None of the districts recorded very high instability for area, production and yield; high instability for area and production; and medium instability for yield.Most of the districts showed very low instability for area and yield during periods I (1983-34 to 1989-90), II (1990-91 to 1999-2000), III (2000-01 to 2009-10) and IV (2010-11 to 2019-20); and low instability during period V (1983-84 to 2019-20). For production, the highest number of districts recorded low instability during periods I (1983-34 to 1989-90), III (2000-01 to 2009-10), and V (1983-84 to 2019-20) and very low instability during period II (1990-91 to 1999-2000) and IV (2010-11 to 2019-20). The growth in area is moving around zero, which indicates little scope in area expansion. The increase in rice demand can achieved through introduction of new high yielding varieties and application of site specific crop management techniques. For this a comprehensive database may be developed at disaggregated level to implement the policy at district level in West Bengal.
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