Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed

Relationship of Payment Statistics and Sector-Wise GrossValue Added in the Indian Economy: A Regression Analysis Approach

Version 1 : Received: 23 July 2023 / Approved: 25 July 2023 / Online: 26 July 2023 (05:30:52 CEST)
Version 2 : Received: 16 October 2023 / Approved: 16 October 2023 / Online: 16 October 2023 (09:56:09 CEST)

A peer-reviewed article of this Preprint also exists.

Kiran, B. V., Satyanarayana, K. T. S. S., Kumar, T. Y., Surya, K. J., Kalesha, K., & Rao, A. N. (2023). Relationship of Payment Statistics and Sector-Wise Gross Value Added in the Indian Economy: A Regression Analysis Approach. Journal of Law and Sustainable Development, 11(11), e1895. https://doi.org/10.55908/sdgs.v11i11.1895 Kiran, B. V., Satyanarayana, K. T. S. S., Kumar, T. Y., Surya, K. J., Kalesha, K., & Rao, A. N. (2023). Relationship of Payment Statistics and Sector-Wise Gross Value Added in the Indian Economy: A Regression Analysis Approach. Journal of Law and Sustainable Development, 11(11), e1895. https://doi.org/10.55908/sdgs.v11i11.1895

Abstract

This study explores the correlation between payment statistics and sector-wise Gross Value Added (GVA) in the Indian economy from 2011 to 2022, assessing the importance of payment and settlement systems. Through regression analysis, the impact of payment statistics on GVA across diverse sectors is assessed. The results indicate that, during the specified period, payment statistics exhibit a significant influence on sector-wise GVA. These findings underscore the pivotal role of payment and settlement systems in the Indian financial landscape.

Keywords

Gross Value Added; Indian economy; Payment and Settlement Systems; Regression analysis

Subject

Business, Economics and Management, Finance

Comments (1)

Comment 1
Received: 16 October 2023
Commenter: Battula Vijay Kiran
Commenter's Conflict of Interests: Author
Comment: Computational error created chaos , completely reversed the results . Now, the error in data is rectified subsequently the analysis , discussions and conclusions and the relevant literature is replaced which are now in line with paper. Kindly ,agree for withdrawal my existing paper as it is giving wrong information that payments have no impact on economy, but actually they are having impact, because including an additional month of january 2023 to the period 2011-2022, the results went upside down, Which now I have rectified and removed the january 2023 from data and kept the period for 11 years between 2011-2022.
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