JOURNAL ARTICLE
FACTOR SHARES, REDISTRIBUTION AND GROWTH IN A CAPTURED DEMOCRACY.
Published In: International Economics / Economia Internazionale, 2026, v. 79, n. 1. P. 91 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: VINDIGNI, ANDREA 3 of 3
Abstract
In this paper, an endogenous growth model is presented, based on productive public expenditure and on a certain degree of inequality in the distribution of income, and of polarization in citizens' preferences concerning economic policy. The main innovation of this contribution consists in the political process that determines capital taxation, a process based on an "influence activity" exercised by the minoritarian capitalist class with the goal of capturing some political power from the majority of the citizens. In particular, lobbying activities investments, allow the capitalists to obtain a gradually lower level of capital taxation, to the benefit of themselves and of economic growth. Capital accumulation leads by the same token to an increment in lobbying activity, in order to convince the government to implement still a lower level of capital stock taxation, and more and more close to the preferences of the capitalists. In conclusion, it is demonstrated that in the long run, the full convergence obtains towards a political realm totally dominated by the few capitalists' de facto power, or to a political-economic reality similar to an "oligarchic technocracy" or to a "plutocracy.". [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Economics / Economia Internazionale. 2026/02, Vol. 79, Issue 1, p91
- Document Type:Article
- Subject Area:Political Science
- Publication Date:2026
- ISSN:0012-981X
- DOI:10.65644/EIIE.079.01.0091
- Accession Number:192247600
- Copyright Statement:Copyright of International Economics / Economia Internazionale is the property of Camera di Commercio di Genova and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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