The present study examines the long-run and short-run relationship between tax structure and state-level growth performance in India for the period 1991–2016. The analysis in this paper is based on the model of Acosta-Ormaechea and Yoo (2012), and for the verification of the relationship between taxation and economic growth the panel regression method is used. With the use of 14 Indian states data, Panel Pool mean group estimation indicates that income tax and commodity–service tax have negative effects whilst property and capital transaction tax have a significant positive effect on state economic growth. This study finds ‘U’ shape relationship between tax structure and growth performance. Based on the analysis, we conclude that for faster growth of Indian states, policymakers should give more focus on property taxes along with the reduction in income taxes.

Due to its recurrent and mandatory nature, the tax becomes a crucial instrument for revenue generation and resource mobilisation. Excessive dependence on foreign finance by any country could lead to a debt trap in the long run. Therefore, it is become obvious to strengthen tax revenue performance for a country. This study tries to find major macro-economic determinants of tax revenue performance in India for the period 1981 to 2016 based on the availability of data. We propose a dynamic simultaneous equation model for the study. Empirical results suggest that growth, aid and trade are positively enlarging tax revenues. And inflation, development expenditure and agriculture contribution come out to be detrimental factors for tax revenues performance. Use of dynamic three-stage least square estimator helps us to trace possible channels through which tax revenue performance can be improved.

Purpose In the academic debate, the tax–growth relationship is always a controversial one. This paper aims to investigate the relationship between tax structure and economic growth in India for the period 1980-2016. After controlling for total tax revenue share to GDP in the estimation model, the authors examine the long-run and short-run relationship between tax structure and growth in India. Design/methodology/approach Auto-regressive distributed lag (ARDL) model has been used in this study. This bound cointegration model has certain advantages to the traditional cointegration model. This study also applies the threshold cointegration test of Hansen and Seo (2002) for examining non-linearity in tax–growth nexus. Findings The analysis shows that income tax share, corporation tax share and excise tax share are harmful to growth in the long-run. While the custom share is enlarging the growth performance. Corporation tax share is also reducing growth in the short-run. Following the Pesaran et al. (2001) approach of ARDL bound testing, the authors find the existence of a long-run relationship between studied variables. However, this study does not find any existence of threshold effect in the tax–growth relationship for India. Practical implications Based on the empirical findings, the author suggests that the prime tax change, which has the potential to impact both long-run growth and short-run economic recovery is the reduction of corporate tax rate with sustainable revenue generation. It will definitely enlarge the foreign direct investment, saving and investment in India. Originality/value This study will be a contribution to the empirical literature by investigating “tax–growth” relationship in the Indian case. To the knowledge, this will be the first study to examine this relationship for India with a recent data set.

In this paper, we analyse the effects of economic and political variables on tax revenue performance of BRICS for the period 1996–2017. After checking unit root and cointegration of the variables, this study employs fully modified ordinary least square (FMOLS) to investigate long‐run impacts of the explanatory variables. Empirical results suggest us that, economic development, trade openness and control of corruption are revenue‐enhancing factors for BRICS, whereas the agriculture sector discourages the tax revenue performance. However, the size of the shadow economy in BRICS undermines the productive implication of corruption control and economic development in revenue generation. Based on the results, few policy options are also discussed in this paper.

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