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Estimation of Crop Production at Smaller Geographical Level in India

机译:印度较小地理区域的作物产量估算

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Crop production statistics for smaller geographical (or small area) levels like Community Development Block level (Block) or Gram Panchayat (GP) level are in great demand to make area-specific plans for agricultural development programmes in India. The crop production estimates in the country are obtained through scientifically designed Crop Cutting Experiments (CCEs) conducted under the General Crop Estimation Survey. Large number of CCEs are conducted annually for producing reliable estimates of crop production of different crops at the district level. If reasonably precise estimates are required for further smaller geographical levels such as Block or GP level, the number of CCEs is expected to increase enormously. However, conducting requisite number of area specific CCEs is neither operationally feasible nor it is economically viable. In this paper we explore an alternative approach for estimation of crop production at Block level. The proposed approach uses available District level data fromCCEs and the auxiliary information from various administrative sources to obtain a reliable estimate of crop production at Block level. An empirical study with wheat production data of Barabanki district of the State of Uttar Pradesh, India shows that approach works well and provides reliable estimates at Block level.
机译:迫切需要针对较小的地理(或小区域)级别(如社区发展街区级别(Block)或Gram Panchayat(GP))进行作物生产统计,以制定针对印度农业发展计划的特定区域计划。该国的作物产量估计数是通过在一般作物估计调查下进行的科学设计的割草实验(CCE)获得的。每年都要进行大量的CCE,以对地区不同作物的作物产量进行可靠的估算。如果需要对更小的地理级别(例如块或GP级别)进行合理精确的估算,则CCE的数量预计将大大增加。但是,进行必要数量的特定于区域的CCE既不可行,也不经济。在本文中,我们探索了一种估计块级作物产量的替代方法。提议的方法使用来自CCE的可用地区级数据和来自各种行政资源的辅助信息来获得对区块级作物产量的可靠估计。对印度北方邦巴拉巴拉克地区小麦产量数据进行的实证研究表明,该方法行之有效,并在区块一级提供了可靠的估计。

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