Search arXivSearch

arXiv · 2401.13686

Capturing the Tax-Revenue Bracketing System via a predator-prey model: Evidence from South Africa

Abstract

Revenues obtained from the corporate tax heads play significant roles in any economy as they can be prioritized for producing public goods and employment creations, among others. As such, corporate tax revenue should be paid enough attention. This study, therefore, explores the tax-revenue harvesting system of an economy where we focused on the corporate tax head. The system comprises three players; the government and formal and informal firms. We applied the predator-prey model to model the effect of the government-gazetted tax rate on corporate survivability. It is a new approach to modeling economic system relations and games. Critical combinatory points are derived, with stability analysis provided after that. Dynamics associated with the tax-revenue system are established and critically analyzed. Lastly, we provide the mathematical way the system can be optimized for the government to harvest as much Revenue as possible, including optimal conditions.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Leonard Mushunje. 2023-12-22. Capturing the Tax-Revenue Bracketing System via a predator-prey model: Evidence from South Africa. https://arxiv.org/abs/2401.13686

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Access to Live AI Advice and Behavior Under Risk: An Incentivized Experiment

Generative AI has become an everyday advisor, and the systems people consult are live and interactive, not pre-scripted. We ask whether access to such a system changes behavior under risk. In an incentivized experiment (N = 158), participants made lottery choices with an optional decision aid presented as a conventional pre-written tool, a live one-shot AI, or a live interactive AI they could query, with information format held equivalent across conditions. Risk preferences are elicited via DOSE. We find no evidence that access to a live AI advisor changes risk aversion.

econ.GN

Bricks or Cash? Externalities of Housing Upgrading in High-density Cities

We estimate housing externalities in a high-density city, exploiting the staggered rollout of Singapore's nationwide Main Upgrading Programme for public housing. Controlling for nonrandom neighborhood exposure, we find that upgrading raises treated buildings' prices by 11.5% upon completion and neighboring buildings' resale prices by about 2% within 500 meters, decaying to zero beyond. A model with distance-decaying externalities shows that in dense settings spillovers justify the distortions of in-kind provision; this advantage diminishes and reverses at lower densities. Administrative data on over 2 million residents show that upgrading disproportionately retains older incumbents, suggesting age-specific amenities as an underexplored externality channel.

econ.GN

The Joneses Visit an Economics Lab

Existing literature offers persuasive evidence that individuals care about how their consumption compares to that of peers, and proposes a large variety of explanatory models. The present paper proposes a common framework for many of those models, and compares their ability to predict behavior in a laboratory experiment. We find evidence of Keeping up with the Joneses motivations but also find that conspicuous consumption is enhanced by Veblen motivations arising from peers' ability to observe one's own choice. Among the seven quasi-linear preference models we compare, our data are best explained by a model that contrasts envy and pride (upward vs downward comparisons) using a value function borrowed from Prospect Theory.

econ.GN