Study on principal dimensions of regional developmental disparities in Haryana
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Date
2016
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Publisher
CCSHAU
Abstract
Development is a multi-dimensional phenomenon and may be defined as a process, which improves
the quality of life. Many programmes of development have been undertaken in our country after i ndependence
through annual and five-year plans with main focus on agriculture, employment generation, population control,
literacy, health etc. Such programmes have been implemented in almost all the states of India including
Haryana. Accordingly, the overall quality of life has improved considerably after independence, however, the
disparities in the level of development can still be observed at district and state levels. Therefore, the present
study deals with the classification of districts of Haryana based on composite indices according to their level of
development and identification of the principal dimensions of regional disparities for effective discrimination
between backward and developed regions. The study indicated wide disparities in the level of development
among various districts of Haryana over the periods of study. The overall development level revealed that the
districts of Ambala, Faridabad and Gurgaon captured first position on the development scale in 1991-92, 2001-02 and 2011-12, respectively, whereas Mahendragarh had the last position in 1991-92 and 2001-02 and newly
formed district Mewat in 2011-12. Separate principal component analysis of 19 indicators of development from
agriculture sector and 9 indicators of socio-economic sectors indicated that first principal component comes out
to be the principal dimension in each case with high component loading for most of the indicators. Principal
indicators have also been identified for agriculture and socio -economic sectors by associating one indicator with
each of the retained principal component. The rank correlations between first principal component based and
composite indices based ranking of the districts for agriculture and socio-economic sectors too justified the
degree of association between the two systems. Principal component based canonical analysis was performed to
establish the relationship between agriculture and socio-economic sectors where first two canonical correlations
were found significant in 1991-92 and one each in 2001-02 and 2011-12 periods.
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Keywords
Economic systems, Economics, Agricultural development, Area, Manpower, Land resources, Byproducts, Productivity, Sets, Biological phenomena