Abstract The implementation of the Goods and Services Tax (GST) in India in 2017 marked one of the most significant tax reforms in the country’s economic history. This research paper evaluates the impact of GST on business operations, tax compliance, and trade competitiveness within the Indian economic context. Using secondary macroeconomic data and descriptive statistical analysis, the study examines trends in GST revenue, taxpayer registrations, logistics efficiency, export performance, and compliance filings between 2017 and 2024. Regression analysis is used to explore the relationship between the expansion of the GST taxpayer base and government revenue generation. The results suggest that GST has contributed to improved supply chain efficiency, increased transparency in tax administration, and greater integration of the national market. Although initial implementation challenges affected small and medium enterprises, the long‑term effects indicate stronger compliance, enhanced fiscal capacity, and improved trade competitiveness. Keywords: GST, taxation reform, compliance, trade competitiveness, India, economic policy 1. Introduction The Goods and Services Tax (GST) represents a landmark structural reform in India's taxation framework. Introduced on July 1, 2017, GST replaced numerous indirect taxes such as value added tax, excise duty, service tax, and central sales tax with a unified tax system. The reform was designed to eliminate cascading taxation, improve compliance, and create a common national market (Kumar, 2017). Prior to the introduction of GST, India's indirect tax structure was fragmented and characterized by overlapping jurisdictions between central and state governments. Businesses often faced administrative burdens due to multiple tax filings, inconsistent tax rates, and interstate trade barriers (Garg, 2018). The implementation of GST aimed to simplify this complex tax environment. By integrating multiple taxes into a single system supported by digital infrastructure, policymakers sought to improve efficiency in tax administration and enhance the ease of doing business in India. Over the past several years, GST has influenced key economic indicators including government revenue, business formalization, supply chain logistics, and export competitiveness. 2. Literature Review Several scholars have examined the economic implications of GST implementation in India. Kumar (2017) argued that GST could significantly improve economic efficiency by reducing tax distortions and encouraging interstate trade. Garg (2018) highlighted that the introduction of GST simplified indirect taxation while also introducing new compliance requirements through digital filing systems. Nayyar and Singh (2018) emphasized that the input tax credit mechanism reduces the cascading effect of taxation, thereby lowering production costs. Rao (2019) found that although GST improved transparency and formalization of businesses, small enterprises initially struggled with compliance requirements and technological adjustments. 3. Research Objectives and Hypotheses Objective 1: To examine the impact of GST on business operations in India. Objective 2: To evaluate the influence of GST on tax compliance and digital filings. Objective 3: To assess the effect of GST on trade competitiveness and export performance. Hypothesis H1: Expansion of the GST taxpayer base positively influences GST revenue. Hypothesis H2: GST implementation reduces logistics time and improves supply chain efficiency. Hypothesis H3: GST contributes to improved export competitiveness. 4. Research Methodology This study uses a quantitative descriptive research design based on secondary data collected from government economic reports and statistical publications. Time‑series data covering the period from 2017 to 2024 were analyzed to observe trends in revenue, taxpayer registrations, logistics efficiency, export competitiveness, and compliance filings. Regression analysis was conducted to test the relationship between the number of GST registered taxpayers and total GST revenue. The statistical model used is expressed as: GST Revenue = β0 + β1 (Registered Taxpayers) + ε 5. Data Table6. Regression Analysis Results Year Revenue (₹ Lakh Cr) Taxpayers (M) Logistics Days Export Index Returns Filed (B) 2017 7.2 6.5 7.0 100 3.1 2018 11.8 10.3 6.2 108 5.8 2019 12.2 11.2 5.8 112 6.4 2020 11.4 11.7 5.6 110 6.6 2021 13.4 12.2 5.4 120 7.1 2022 14.8 13.6 5.2 132 7.9 2023 16.6 14.0 5.0 140 8.6 2024 18.1 15.1 4.8 148 9.3 Estimated regression equation: Revenue = -1.36 + 1.23(Taxpayers) Coefficient of Determination (R²): 0.938 The regression results indicate a strong positive relationship between the number of registered GST taxpayers and total GST revenue. The high R² value suggests that a significant proportion of variation in GST revenue can be explained by the expansion of the taxpayer base. 7. Graphical Analysis 8. Discussion The empirical findings demonstrate that GST has strengthened India's fiscal capacity through increased compliance and a broader taxpayer base. Improvements in logistics efficiency suggest that the removal of interstate tax barriers has facilitated faster movement of goods. Furthermore, rising export competitiveness indicates that GST has reduced production costs by eliminating cascading taxes. 9. Conclusion The implementation of GST has transformed the Indian taxation landscape by creating a unified national market and enhancing tax transparency. Although the transition initially presented challenges, the long‑term impact indicates improved business efficiency, stronger tax compliance, and enhanced trade competitiveness. References Garg, G. (2018). Basic concepts and features of GST in India. International Journal of Scientific Research and Management. Kumar, N. (2017). Goods and Services Tax in India: A way forward. International Journal of Applied Research. Nayyar, A., & Singh, I. (2018). A comprehensive analysis of GST in India. Indian Journal of Finance. Rao, R. (2019). Impact of GST on SMEs in India. Journal of Commerce and Management.
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Bhagyajyothi S Kannur
Government of Karnataka
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Bhagyajyothi S Kannur (Tue,) studied this question.
www.synapsesocial.com/papers/69d895486c1944d70ce0637e — DOI: https://doi.org/10.5281/zenodo.19456444