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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      1 Jan 2023, Volume 38 Issue 1   
    Article

    1. APPLICATION OF NONPARAMETRIC STATISTICAL TECHNIQUE FOR THE STUDY OF INTER-STATE DISPARITY RELATING TO ECONOMIC ACTIVITY IN INDIA: 2020-21
    Dr. P.Vinayagam, Dr. A. Subbarayam, Dr. T. Johnson, Dr. A. Iyem Perumal, Ms. S. Bhuvaneshwari
    Journal of Data Acquisition and Processing, 2023, 38 (1): 1154-1161 . 

    Abstract

    India is a country characterized by wide diversity in economic, political, social, regional cultural and traditional aspects. The objectives of economic growth and development basically depends on the policies, institutions and machinery. The economic researchers in India often observes that it is necessary to analyze regional disparities prevailing in different states of India to frame suitable policies for inclusive development for the entire country. A deeper analysis of disparities across the states in the performance will certainly help the planners for framing effective policies of development. In this context the present research aims at studying the disparities existing among states in respect of Economic Activity for the period 2020-21. The study is based on a Nonparametric Statistical Model developed by Friedman. We have constructed the model and the results have clearly shown that there exists disparities among the selected states in respect of Economic Activity which is a prime one for in entire development.

    Keyword

    Economic Activity, Constant prices, Rank Analysis, Disparities, Friedman Technique


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