Global corporate tax policy space

Turalay Kenc and Emrah Çevik

Economic Systems, 2024, vol. 48, issue 2

Abstract: This study investigates the economic growth implications of ongoing and prospective rises in corporate tax rates following G20 countries’ minimum corporation tax agreement. We use a panel data estimation approach to examine economic growth rates and associated macro-economic variables of 42 nations from 1990 to 2017. To elicit more comprehensive insights, we make a distinction between advanced countries (ACs) and emerging market economies (EMEs) and different levels of growth using a quantile estimation approach. The results reveal that corporate tax rate rises depress growth, with a relatively sizeable impact for EMEs, whereas it is not statistically significant for ACs. At high quantiles of growth rates, the impact of the corporate tax policy on growth increases. These findings suggest a dual effect for EMEs with relatively high growth rates and symmetric growth effects of corporate tax changes, necessitating innovative policy prescriptions to address the negative growth impact of prospective higher corporate tax rates.

Keywords: Corporate taxation; Economic growth; Quantile estimation; Panel data estimation (search for similar items in EconPapers)
JEL-codes: E62 H25 H32 O47 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0939362524000190
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecosys:v:48:y:2024:i:2:s0939362524000190

DOI: 10.1016/j.ecosys.2024.101197

Access Statistics for this article

Economic Systems is currently edited by R. Frensch

More articles in Economic Systems from Elsevier Contact information at EDIRC.
Bibliographic data for series maintained by Catherine Liu ().