Uncovering Regional Disparities in Infrastructural Development of Uttar Pradesh: An Exploratory Factor Analysis

Pub Date : 2022-02-04 DOI:10.13052/jrss0974-8024.1512
M. Dube, Subhash Kr. Yadav, Vishwajeet P. Singh
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引用次数: 1

Abstract

In developmental studies, the infrastructural sector is considered as an important component of overall economic development. The infrastructural growth in the state of Uttar Pradesh is undoubtedly critical since independence. The main focus of this paper is to uncover the principal factors or dimensions of infrastructural characteristics and to quantify the level of infrastructural development of Uttar Pradesh into five clusters having different grade of development using Exploratory Factor Analysis & K-means Cluster Analysis. The analysis has been carried out by taking into account various infrastructural indicators for the time period of two years from 2018 to 2019. The results of the present analysis led to the identification of the five factors of infrastructural characteristics, and the classification of all the seventy-five districts of Uttar Pradesh into five regions with different degree of infrastructural development. The ‘infrastructural regions’ uncovered through this procedure allow a much more useful characterization of Uttar Pradesh for the policy making purpose. The same technique may be applied to the whole country and other countries as well.
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揭示北方邦基础设施发展的区域差异:探索性因素分析
在发展研究中,基础设施部门被认为是全面经济发展的一个重要组成部分。自独立以来,北方邦的基础设施建设无疑是至关重要的。本文的主要重点是揭示基础设施特征的主要因素或维度,并利用探索性因子分析和k均值聚类分析将北方邦的基础设施发展水平量化为五个具有不同发展等级的集群。该分析是在考虑了2018年至2019年两年期间的各种基础设施指标后进行的。本文的分析结果确定了基础设施特征的五个因素,并将北方邦的75个区划分为基础设施发展程度不同的五个区域。通过这一过程发现的“基础设施区域”可以为制定政策提供更有用的北方邦特征。同样的技术可以应用于整个国家,也可以应用于其他国家。
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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