How Does Taxation Affect the Economy in the Long-Run? A Study of Indian States through Panel ARDL Approach

This study examines the long-term impact of taxation on economic prosperity across 20 major Indian states and union territories from 1993 to 2017. To estimate the long-term relationships, various panel autoregressive distributed lag (P-ARDL) models, including pooled mean group (PMG), mean group (MG), and dynamic fixed effect (DFE) models, are employed. Unit root tests reveal that the variables exhibit a mixed order of integration at the level and first difference. Panel cointegration tests confirm a high likelihood of a long-term cointegrating relationship among economic growth, direct taxes, indirect taxes, and social expenditure. The PMG results indicate a long-term relationship between economic growth and these variables, significant at the 5 percent level, with a cointegration rate of 1.03. In contrast, the MG and DFE estimations show cointegration rates of 1.09 and 1.07, respectively, also significant at the 5 percent level. The findings highlight a significant impact of taxation and social expenditure on economic growth in India.

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Publication Details

Journal
Statistika Statistics and Economy Journal
Published
2025-06-11
DOI
https://doi.org/10.54694/stat.2024.43
Citations
1
Primary Topic
Fiscal Policy and Economic Growth
Type
article
Field-Weighted Citation Impact
3.13
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article

How Does Taxation Affect the Economy in the Long-Run? A Study of Indian States through Panel ARDL Approach

Syed A. Hussain, Effat Yasmin, Fayaz Ahmad Bhat
1 citations
Statistika Statistics and Economy Journal
Fiscal Policy and Economic Growth
3.13
article

How Does Taxation Affect the Economy in the Long-Run? A Study of Indian States through Panel ARDL Approach

Syed A. Hussain, Effat Yasmin, Fayaz Ahmad Bhat
article en
1 citations

Abstract

This study examines the long-term impact of taxation on economic prosperity across 20 major Indian states and union territories from 1993 to 2017. To estimate the long-term relationships, various panel autoregressive distributed lag (P-ARDL) models, including pooled mean group (PMG), mean group (MG), and dynamic fixed effect (DFE) models, are employed. Unit root tests reveal that the variables exhibit a mixed order of integration at the level and first difference. Panel cointegration tests confirm a high likelihood of a long-term cointegrating relationship among economic growth, direct taxes, indirect taxes, and social expenditure. The PMG results indicate a long-term relationship between economic growth and these variables, significant at the 5 percent level, with a cointegration rate of 1.03. In contrast, the MG and DFE estimations show cointegration rates of 1.09 and 1.07, respectively, also significant at the 5 percent level. The findings highlight a significant impact of taxation and social expenditure on economic growth in India.

Statistika Statistics and Economy JournalVol. 105(2)
Openalex Percentile: Top 8%
Fiscal Policy and Economic Growth
3.13
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