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Kumari, Reena
- Growing Regional Disparity in Uttar Pradesh:Inter-District Analysis
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1 National University of Educational Planning and Administration, Delhi 110016, IN
1 National University of Educational Planning and Administration, Delhi 110016, IN
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 56, No 3 (2014), Pagination: 339-360Abstract
This paper analyses inter-district disparity in Uttar Pradesh in three crosssection period 1990-1991, 2000-2001 and 2010-2011. It uses five sectors for measuring disparity, i.e., agriculture, industry, services, education and health and 46 sub-indicators which explain economic and social development in the state at district level. On the basis of composite index, it has identified the backward or disadvantaged regions across the state. The result of Principal Component Analysis (PCA) suggests that inter-district disparity has declined over the period and there is a sign of convergence. The empirical findings show that law and order, share of non-farm income and health development are the indicators which have influenced the level of development. It is time to take appropriate steps to bridge the gap between core and periphery regions.- Public Spending on Technical Education in India:Inter-State Comparison
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Authors
Affiliations
1 Department of Economics, CM College, LNM University, Darbhanga 846004, Bihar, IN
1 Department of Economics, CM College, LNM University, Darbhanga 846004, Bihar, IN
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 59, No 3 (2017), Pagination: 167-184Abstract
The paper examines public spending on technical education in India by both the Centre and the States. The rationale for the same becomes relevant when the economy has been undergoing structural changes over a span of time and the demand pattern for skills of different kinds has changed in different sectors, especially in the manufacturing sector. The study aims to make a comparison in public spending on technical education and its proportion to the Gross State Domestic Product (GSDP) among 15 major states from 1991-1992 to 2011-2012 at constant prices. Inter-state comparison perceives that the states of Bihar and Uttar Pradesh, economically and educationally backward, registered a negative growth rate in expenditure on technical education. Empirical results show that per student expenditure has risen appreciably in the 1990s, while after 2001-2002 it declined at both current and real prices. The per student expenditure is lower in the poor states which engrossed consideration toward more public spending in the destitute regions of the nation.References
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- Determinants of Child Malnutrition in Uttar Pradesh
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Authors
Affiliations
1 Department of Economics, C.M. College, L.N. Mithila University, Darbhanga 846004, Bihar, IN
2 Department of Sociology, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, IN
1 Department of Economics, C.M. College, L.N. Mithila University, Darbhanga 846004, Bihar, IN
2 Department of Sociology, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, IN
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 62, No 4 (2020), Pagination: 356-378Abstract
This paper investigates the current state of malnutrition and the possible determinants of child nutrition status at district level children aged less than five years in Uttar Pradesh. Comprehensive nine dimensions including 23 indicators related to various socio-economic characteristics have been examined. The data were accessed from the National Family Health Survey (NFHS-4) for the year 2015-2016, which contained information of children belonging to 76,233 households of the state. Three indicators namely, stunted, wasted and underweight have been considered as comprehensive child malnutrition status. Multiple regression analysis has been used to identify various factors associated with child malnutrition. The study indicates that the prevalence of child malnutrition varied over the districts. Those with very high prevalence of malnutrition were Hamirpur, Sonbhadra, Sitapur, Bahraich and Pilibhit. In contrast, in Gautam Budh Nagar, Ghaziabad, Mathura, Firozabad and Saharanpur the prevalence of malnutrition was lower. Explanatory variables like female literacy rate, breastfeeding, toilet facility, anaemia among pregnant women, gross value from agriculture/gross cropped area and total fertility rate account for change and show a significant effect on both child malnutrition and infant mortality rate. Nutritional education of females, better sanitation facilities in backward areas, better nutrition to females and high food productivity might help in solving the nutrition status of children in Uttar Pradesh.References
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