Fiscal federalism and Fiscal Autonomy: Lessons for the UK from other Industrialised Countries



Appendix

Construction of the Index of Fiscal Control [as used in Figure 2]

The index of fiscal control comprises a weighted average index measuring the tax raising
autonomy of state and local governments, multiplied by the magnitude of these respective
taxation revenues. The information required to construct the weights is derived from OECD
(1999).

Indicators of Tax autonomy

Weight

State/Local government free to set both tax rate and tax base.

1

State/Local government free to set tax rate only.

08

State/Local government free to set tax base only.

06

State/Local government able to determine revenue-split in tax sharing
arrangement with higher levels of government._______________________________

05

Revenue split in tax sharing arrangement with higher level of government
requires consent of State/Local government.___________________________________

01

Revenue split in tax sharing arrangement is fixed, but can be unilaterally altered
by higher level of government._______________________________________________

03

Revenue split in tax sharing arrangement is determined by higher level of
government in their annual budget.___________________________________________

01

Higher level of government sets both tax rate and base.

0

For example:

For Poland, a country with a central and local government structure, 45% of taxation is in
category (b), 1% category (c) and 54% category (d.3), the index is obtained as follows:
Index of fiscal control = 0.45*0.8 + 0.01*0.6 + 0.54*0.3 =
0.528

Alternatively, for a country with a central, state and local government structure, eg.

Switzerland the index takes account of the ratio of state vis-à-vis local taxation revenues:
Communities: 0.97*0.8 + 0.03*0.3 = 0.785

Cantons:     0.89*1 + 0.06*0.4 + 0.05*0.3 = 0.929

Index of fiscal control = (16/38)*0.785 + (22/38)*0.929 = 0.868.

38



More intriguing information

1. Cultural Neuroeconomics of Intertemporal Choice
2. Expectation Formation and Endogenous Fluctuations in Aggregate Demand
3. Evaluation of the Development Potential of Russian Cities
4. Apprenticeships in the UK: from the industrial-relation via market-led and social inclusion models
5. The name is absent
6. Beyond Networks? A brief response to ‘Which networks matter in education governance?’
7. On the Integration of Digital Technologies into Mathematics Classrooms
8. The Employment Impact of Differences in Dmand and Production
9. FASTER TRAINING IN NONLINEAR ICA USING MISEP
10. The name is absent