Manocha, VeenaHooda, Ekta2016-10-242016-10-242016http://krishikosh.egranth.ac.in/handle/1/81527Development 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.enEconomic systems, Economics, Agricultural development, Area, Manpower, Land resources, Byproducts, Productivity, Sets, Biological phenomenaThesis