Taxation and the Revolutionary Inheritance: Tax Proposals, Legitimacy, and the Irish Free State, 1922–32

Jason Knirck ()
Additional contact information
Jason Knirck: Central Washington University

Chapter Chapter 11 in Taxation, Politics, and Protest in Ireland, 1662–2016, 2019, pp 277-304 from Palgrave Macmillan

Abstract: Abstract Irish revolutionary leaders were generally not original economic thinkers, but important economic assumptions underlay Irish revolutionary ideology. Central among these was a belief that British economic policy harmed Ireland by squashing its industries, reducing its population, and overtaxing its residents, and that economic success would follow from repealing the Union. This chapter analyses the ways in which politicians’ economic visions intersected with the revolutionary legacy, the quest for political legitimacy, and the attempt to create a taxation policy suitable for a postcolonial state. These debates revealed significantly different visions for the Free State, as well as disagreements over whether political legitimacy should be measured by international markets or by the standards of living and distribution of wealth within Irish society.

Keywords: Irish Free State; Cumann na nGaedheal; Agriculture; Taxation policy; Fianna Fáil; Land annuities (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:pal:psitcp:978-3-030-04309-4_11

Ordering information: This item can be ordered from
http://www.palgrave.com/9783030043094

DOI: 10.1007/978-3-030-04309-4_11

Access Statistics for this chapter

More chapters in Palgrave Studies in the History of Finance from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().