Search results for " Optimal Taxation"
showing 4 items of 4 documents
Disease dispersion as a spatial interaction: The case of Flavescence Dorée
2020
International audience; Flavescence dorée is a serious and incurable vine disease transmitted by an insect vector. Focusing on its spatial diffusion and on its control with pesticides, this paper investigates the private strategies of wine producers and their socially optimal counterparts. The socially optimal regulation has to address two externalities regarding private treatment decisions: (a) the insufficient consideration of collective benefits from controlling the vector populations; (b) the failure to take into account environmental damage related to pesticide application. The probability of infection is estimated on French data from a spatial econometric specification. Three alternat…
Essays in optimal taxation and dynamic mechanism design
2010
Knowledge Mapping of Optimal Taxation Studies: A Bibliometric Analysis and Network Visualization
2022
The problem of tax policy design has been an important concern over the years, involving comprehensive scientific research. In this study, our major goal was to examine and map the optimal taxation research thematic structure by using bibliometric analysis. The analysis was carried out with the CiteSpace software on publications indexed by Web of Science (WoS) between 1975 and 2021. This document offers an actual bibliometric analysis of the current research climate in terms of optimal taxation, based on the following aspects: (1) descriptive characteristics of publication outputs (distribution by years, authors, countries, journals); (2) collaboration analysis of authors, institutions, and…
The economics of extortion: Theory and the case of the Sicilian Mafia
2023
This paper studies extortion of firms operating in legal sectors by a profit-maximizing criminal organization. We develop a simple taxation model under asymmetric information to find the Mafia optimal extortion as a function of firms’ observable characteristics, namely size and sector. We test the predictions of the model on a unique dataset on extortion in Sicily, the Italian region where the Sicilian Mafia, one of the most ancient criminal organizations, operates. In line with our theoretical model, our empirical findings show that extortion is strongly concave with respect to firm size and highly regressive. The percentage of profits appropriated by the Mafia ranges from 40% for small fi…