Business and Economics > Corporate Taxation

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  • 'Panel Data Models; Spatio-temporal Models' x
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Ms. Dora Benedek
,
Mr. Pragyan Deb
,
Mr. Borja Gracia
,
Mr. Sergejs Saksonovs
,
Ms. Anna Shabunina
, and
Mrs. Nina T Budina
Some countries support smaller firms through tax incentives in an effort to stimulate job creation and startups, or alleviate specific distortions, such as financial constraints or high regulatory or tax compliance costs. In addition to fiscal costs, tax incentives that discriminate by firm size without specifically targeting R&D investment can create disincentives for firms to invest and grow, negatively affecting firm productivity and growth. This paper analyzes the relationship between size-related corporate income tax incentives and firm productivity and growth, controlling for other policy and firm-level factors, including product market regulation, financial constraints and innovation. Using firm level data from four European economies over 2001–13, we find evidence that size-related tax incentives that do not specifically target R&D investment can weigh on firm productivity and growth. These results suggest that when designing size-based tax incentives, it is important to address their potential disincentive effects, including by making them temporary and targeting young and innovative firms, and R&D investment explicitly.
Mr. Serhan Cevik
Despite the significant progress in recent years, Pakistan’s tax revenue remains low relative to comparator countries and the tax effort expected for the country’s level of development. In light of the potential endogenity of tax revenue and economic growth, this paper contributes to the literature by developing a novel identification strategy to estimate the short-run and long-run elasticities of tax revenue. The empirical findings indicate that a tax system with low elasticity cannot take full advantage of economic growth. Accordingly, unlocking revenue potential is dependent on broadening the tax base, strengthening administration, and rationalizing tax policy across all levels of the general government.
Mr. Tigran Poghosyan
This paper quantifies the variability of tax elasticities in Lithuania using two alternative methods: rolling regressions and pooled mean group estimator. The analysis is motivated by the systematic variation of tax revenues observed over the economic cycle in the recent past. Both methods confirm that tax elasticities moved with the cycle, which can be attributed to the procyclical tax compliance tendencies and structural composition effects across tax bases. Comparison of VAT revenue gaps across Baltic countries during the recent recovery suggests that tax revenues rebounded fastest in Estonia, followed by Lithuania and Latvia. Overall, the results of the study emphasize the importance of accounting for cyclical variation in tax elasticities when making short-term tax revenue projections.