Tag: H21

REGIONAL DYNAMICS AND STATE-LEVEL PERFORMANCE IN INDIA’S INDIRECT TAX SCENARIO: EXPLORING GOODS AND SERVICES TAX (GST) REVENUE JOURNEY

Gajanan BHARAT HALDANKAR

Assistant professor, Department of Commerce, VVM’s Shree Damodar college of Commerce & Economics, Goa, India

Gajanan.haldankar@vvm.edu.in.

(Corresponding author)

Santosh PATKAR

Professor & Principal, Sridora Caculo College of Commerce and Management Studies, Goa, India

patkar_santosh@rediffmail.com.

Abstract

Goods and Services tax was implemented in India from 2017 as a new indirect tax law intended to simplify and consolidate the previous tax system. India is a country with large population with diverse geographical regions, it becomes paramount for assessing the GST performance across different regions of the nation. For achieving the goal of the research secondary data of GST revenue from all 28 states and 8 union territories were collected and categorized into six regions. For the study Graph analysis, descriptive analysis, and Kruskal-Wallis tests were employed using Jamovi statistical software. The results of the study demonstrated the States/UTs that excel in terms of GST collection in their designated regions. In Northern region Haryana stands out, Assam leads the pack in Northeastern region, in central region Uttar Pradesh demonstrated a strong performance, in Eastern region West Bengal excels, Maharashtra performs well in the Western region and in Southern region the State of Karnataka is the best performer. These States demonstrated exceptional performance in collecting GST revenue within their regions. Additionally, the study revealed an upward trend in GST revenue performance across all regions of India particularly in Western region. However, it also indicates that certain States/UT’s & regions are not performing up to expectations when considering their population size. This research work gives a valuable perspective for the tax department, researchers and policymakers empowering them to develop strategies that can boost the region wise GST revenue collection and will help in promoting economic growth of the country.

Keywords: Indirect Tax, Goods and Services Tax (GST), Revenue performance, Region, India

JEL classification: H71, H20, H21

 pp. 39-53

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MANAGEMENT OF THE TERRITORY TAX POTENTIAL TO ENSURE ITS TAX SECURITY

Marina S. SHEMYAKINA

Cand.Econ.Sci., associate professor, Faculty of Economics, Chair of Accounting and Audit, Volga State University of Technology, Yoshkar-Ola, Russia, 424000, Yoshkar-Ola, pl. Lenina 3

ShemyakinaMS@volgatech.net

Elena A. MURZINA

Cand.Econ.Sci., associate professor, Faculty of Management and Law, Volga State University of Technology, Yoshkar-Ola, Russia, 424000, Yoshkar-Ola, pl. Lenina 3

MurzinaEA@volgatech.net

Tatiana V. YALYALIEVA

Cand.Econ.Sci., associate professor, Faculty of Management and Law Head of the Chair of Management and Law, Volga State University of Technology, Yoshkar-Ola, Russia, 424000, Yoshkar-Ola, pl. Lenina 3

YalyalievaTV@volgatech.net

Abstract

The authors investigated theoretical approaches to the tax potential category, substantiated the position that tax potential should be managed to ensure tax security of public law education and the basis of its assessment. Forecast models of tax potential developed in relation to the Republic of Mari El. The purpose of the study is to examine The purpose of the study is to examine structure of the consolidated budget tax revenue. One of the objectives of the study is to validate the uniformity of the tax revenue structure. The authors determined that the share of the three main taxes (personal income tax, corporate income tax and corporate property tax) in the total tax revenues of the consolidated budget does not practically change. Models are built using correlation-regression analysis, describing the dependence of macroeconomic indicators and the main sources of tax revenues. The results of the study is constructed model, which is used to determine the region tax potential.

Keywords: tax potential, tax security, tax revenues, assessment of tax potential

JEL classification: F43, Н2, H21
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