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A state level analysis of the status of social sector in India

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  • Nayak, Purusottam
  • Mishra, SK

Abstract

Social sector with the objective to satisfy the welfare needs of the people and to correct the imbalances in the economy claims a sizeable proportion of the public expenditure and has emerged as a significant sector. This paper in this regard is a state level analysis on the growth of public expenditure vis-à-vis status of social sector in India using secondary data for the period from 1990-91 to 2012-13. Status of social sector has been ascertained through construction of composite indices based on available important techniques using 12 indicators variables on health and education. The findings reveal that in India, especially after the year 2000-01, the allocation of resources on the social sector has gained momentum. It is observed that population-wise smaller states such as Mizoram, Sikkim, Meghalaya, Himachal Pradesh, Goa, Puducherry and Uttarakhand with more development-oriented attitude have achieved a good progress on social sector. On the other hand, states such as Punjab, Kerala, Jharkhand, Bihar, W. Bengal, Nagaland, Tamil Nadu and Tripura are at the lower end. To further improve the status of social sector in different states/UTs it is important that the public expenditure on this sector keeps its pace undaunted, but, perhaps, it is more important that fiscal and financial management is streamlined and its governance is improved.

Suggested Citation

  • Nayak, Purusottam & Mishra, SK, 2014. "A state level analysis of the status of social sector in India," MPRA Paper 58144, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:58144
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    References listed on IDEAS

    as
    1. Sudhanshu K Mishra, 2013. "Global Optimization of Some Difficult Benchmark Functions by Host-Parasite Coevolutionary Algorithm," Economics Bulletin, AccessEcon, vol. 33(1), pages 1-18.
    2. Noelia Somarriba & Bernardo Pena, 2009. "Synthetic Indicators of Quality of Life in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 94(1), pages 115-133, October.
    3. Christophe Croux & Catherine Dehon, 2010. "Influence functions of the Spearman and Kendall correlation measures," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(4), pages 497-515, November.
    4. Mishra, Sudhanshu K, 2014. "What happens if in the principal component analysis the Pearsonian is replaced by the Brownian coefficient of correlation?," MPRA Paper 56861, University Library of Munich, Germany.
    5. Mishra, SK, 2009. "A note on positive semi-definiteness of some non-pearsonian correlation matrices," MPRA Paper 15725, University Library of Munich, Germany.
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    Cited by:

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    More about this item

    Keywords

    Social sector; India; state-wise analysis; public expenditure; composite index; principal component; non-Pearsonian correlation; Brownian; rank; absolute; signum; Kendall tau; shevlyakov Campbell correlation; outliers;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I20 - Health, Education, and Welfare - - Education - - - General

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