Impact of Goods and Service Tax on MSME Sector: A Study Using Artificial Neural Network and Multivariate Analysis of Variance-Reference-Cited by-同舟云学术

Impact of Goods and Service Tax on MSME Sector: A Study Using Artificial Neural Network and Multivariate Analysis of Variance

Published:2024-05 Issue:3 Volume:72 Page:511-525
ISSN:0019-4662
Container-title:The Indian Economic Journal
language:en
Short-container-title:The Indian Economic Journal

Author:

Bhalla Neba¹²^ORCID,Kaur Inderjit³,Sharma Rakesh Kumar¹^ORCID

Affiliation:

1. School of Humanities and Social Sciences, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

2. Current Affiliation: University School of Business, Chandigarh University, Gharuan, Punjab, India

3. LM Thapar School of Management, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

Abstract

Micro, small and medium enterprises (MSME) is one the vital sector of the developing economy. Changes in fiscal policy directly impact this sector the most. The present article aims to examine the impact of the recent Indian indirect system tax overhaul, that is, Goods and Service Tax (GST), on the MSME sector. We have employed multivariate analysis of variance and multi-layer perceptron neural network on the extensive data set for 60 months from April 2015 to March 2020. The empirical findings state that a significant increase has been observed in the MSMEs’ export, revenue generation and gross domestic product in the post-GST era. The findings may aid the emerging economies that are planning to alter tax systems to boost the MSME sector at the international level. JEL Codes: H20, L00, B22, C01, C45

Publisher

SAGE Publications

Link

https://journals.sagepub.com/doi/pdf/10.1177/00194662241235612

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