Dynamics of socio-economic development of districts of eastern Uttar Pradesh

Abstract

Development process of any system is dynamic in nature and depends on large number of parameters. This study attempted to capture latest dynamics of development of districts of Eastern Uttar Pradesh in respect of three dimensions- Agriculture, Social and Infrastructure. Techniques adopted by Narain et al. (1991) have been used in addition to Principal component and factor analysis. Ranking seems to very close to ground reality and provides useful information for further planning and corrective measures for future development of Eastern UttarPradesh’s Districts. The Composite Indices (C.I.) of development in respect of 18 developmental indicators for the total 28 districts of eastern Uttar Pradesh have been estimated for the year 2010-2011. The district Barabanki was showed a higher level of development (C.I. =0.10) in Agricultural development compared to Social development (C.I.=1.12) and Infrastructural development (C.I. =0.89) followed by the district Ambedkar nagar (Agricultural, C.I. =0.52), (Social, C.I. =1.12) and (Infrastructure, C.I. =0.89). District Allahabad secured first position in the Social development (C.I. =0.81) and second in Infrastructural development (C.I. =0.34) as compared to Agriculture (C.I. =0.93). District Varanasi was the most developed district in Infrastructure (C.I. =0.10) as compared to Agriculture (C.I.=0.96) and Social (C.I. =0.96). As per findings of the study, the two districts Mau and Jaunpur were down in their ranking and the districts Chandauli and Maharajganj improved their ranking.

Dynamics of inter-district developmental disparities in Haryana

“…The correlation between industry and socio-economic development was positive and highly significant (at 1% level of significance) in all of the three periods indicating that the districts which were industrially developed were also developed at the overall socio-economic front. to Haryana (Hooda and Tonk, 1998) and Uttar Pradesh (Tanwar et al, 2016).…”

“…Narain et al (1991) developed methodology for the construction of composite index which has been applied by Narain et al (2007aNarain et al ( , 2009) and many others to analyze the data on socio-economic dimensions of different states of India and to observe wide disparities in the levels of development. Tanwar et al (2016) used composite index and PCA methods to study the dynamics of socio-economic development of Eastern Uttar Pradesh. Socio-economic development has attracted attention of policy maker not only in developing countries but also in the advanced countries of the world.…”

Crime Against Women in India: Unveiling Spatial Patterns and Temporal Trends of Dowry Deaths in the Districts of Uttar Pradesh

“…This is the approach that was followed by Tanwar et al . () and Kumar et al . () that constructs composite indices of agricultural, social and industrial development for 28 eastern and 25 western districts of Uttar Pradesh respectively.…”

“…A different attempt would be to use more general indicators comprising different covariates. This is the approach that was followed by Tanwar et al (2016) and Kumar et al (2018) that constructs composite indices of agricultural, social and industrial development for 28 eastern and 25 western districts of Uttar Pradesh respectively. Their findings could give an explanation for the persistent spatial pattern that we have found in our data analysis, where districts in the east show low risks of dowry deaths whereas western districts have high risks.…”

Principal Dimensions of Regional Agricultural & Socio-economic Disparities in Haryana

“…Multivariate techniques, principal component analysis and canonical correlation analysis were used to evaluate the socio-ecological conditions and to estimate rapidity of change of local systems by considering 6 bio-physical factors predisposing soil to degradation and 23 socio-economic indicators over fifty years . [6] Made an attempt to capture the recent dynamics of development of districts of Eastern Uttar Pradesh in respect of three sectors-Agriculture, Social and Infrastructure. Technique of composite indices suggested by [7] was used in addition to principal component and factor analysis.…”