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The Importance of Financial and Pension Literacy in Closing the Financial Advice Gap in the U.K.

Published online by Cambridge University Press:  26 May 2025

Julie Dick*
Affiliation:
Department of Accounting and Financial Management, University of Northumbria, Newcastle upon Tyne, UK
Jacqueline Harvey
Affiliation:
Department of Accounting and Financial Management, University of Northumbria, Newcastle upon Tyne, UK
*
Corresponding author: Julie Dick; Email: Julie.dick@northumbria.ac.uk
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Abstract

Decisions about how to draw one’s pension are complex. Individuals with poor pension literacy may risk making suboptimal decisions, especially in the absence of financial advice. This study found actual and perceived pension literacy to have opposite effects on advice seeking. Where high actual pension literacy increased the propensity to seek advice, high perceived pension literacy decreased it. After participants completed a test of pension literacy, they became aware of their pension knowledge, and some changed their minds about seeking advice. The study highlights the importance of pension education and has implications for regulators and industry professionals wanting to increase the uptake of financial advice.

Information

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press
Figure 0

Table 1. Characteristics of the participants

Figure 1

Table 2. Demographics of the North East Region compared with England (ONS Census data 2021)

Figure 2

Table 3. Principal components analysis – factor loadings

Figure 3

Table 4. Variables in the logistic regressions

Figure 4

Table 5. Logistic regression: weighted actual and perceived scores and outcome variable: ‘Do you intend to seek financial advice?’ (FA_O)

Figure 5

Table 6. Logistic regression: component factor scores and outcome variable: ‘Do you intend to seek financial advice?’ (FA_O)