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Self-Efficacy and Citizen Engagement in Development: Experimental Evidence from Tanzania

Published online by Cambridge University Press:  29 January 2021

Evan Lieberman
Affiliation:
Department of Political Science, Massachusetts Institute of Technology, 30 Wadsworth Street, E53-409, Cambridge, MA 02142, USA, Twitter: @evlieb, Website: evanlieberman.org
Yang-Yang Zhou*
Affiliation:
Department of Political Science, University of British Columbia, 323 C.K. Choi Building 1855 West Mall, Vancouver, BC, Canada V6T 1Z2, Twitter: @yangyang_zhou, Website: yangyangzhou.com
*
*Corresponding author. Email: yangyang.zhou@ubc.ca
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Abstract

Recent studies of efforts to increase citizen engagement in local governance through information campaigns report mixed results. We consider whether low levels of self-efficacy beliefs limit engagement, especially among poor citizens in poor countries. Citizens may be caught in an “efficacy trap” which limits their realization of better public goods provision. We describe results from a series of experimental studies conducted with over 2,200 citizens in rural Tanzania, in which we compare the effects of standard information campaigns with Validated Participation (VP), an intervention designed to socially validate citizens’ participation. We implement a staged approach to experimental research, seeking to balance ethical and cost concerns about field experimentation. In our main analyses, we find that VP did not lead to increased levels of self-efficacy or more active citizen behaviors relative to standard informational treatments. Nonetheless, we find some promising evidence for VP in a follow-up qualitative study with teachers. We conclude by discussing lessons from this research and directions for future investigation of the possible role of self-efficacy traps in development.

Information

Type
Research Article
Copyright
© The Author(s) 2021. Published by Cambridge University Press on behalf of The Experimental Research Section of the American Political Science Association
Figure 0

Figure 1 Theory of the efficacy trap and the role of Validated Participation (VP). This study examines relationships depicted by shaded arrows.

Figure 1

Figure 2 VP intervention in progress. The facilitator is conducting a discussion about artwork with about 25 parent participants at their school (left), and later generating a list of pro-education actions that parents are volunteering and committing to take (right).

Figure 2

Figure 3 Positive linear relationships between our educational self-efficacy score (x-axis) and citizen participation/pro-development outcomes (y-axis) from both studies. From Study 1, Bukoba (rows 1–2), these plots show the predicted probabilities for student test scores and parental outcomes at baseline. From Study 2, Kilosa (row 3), these plots show the predicted probabilities for pro-education political behaviors for the SO (control) parents (with 95% CIs). OLS models, controlling for demographic covariates, school cluster-robust standard errors.

Figure 3

Figure 4 Study 1 (N = 598 parents; 24 school clusters): Average treatment effects of VP (blue) and IW (red) compared to control on endline efficacy and active citizenship outcomes (with 95% and 90% CIs). OLS models controlling for baseline measures and demographic covariates, with school cluster-robust standard errors. VP–IW difference (black).

Figure 4

Figure 5 Downstream follow-up in Study 1 schools, 2 years later (N = 117 teachers; 24 school clusters): Average treatment effects of VP (blue) and IW (red) compared to control on parental active citizenship outcomes 2 years later as reported on structured assessments with teachers (with 95% and 90% CIs). OLS models with respondent type FE and school cluster-robust standard errors. VP–IW difference (black).

Figure 5

Figure 6 Study 2 (N = 1,633 parents; individual-level treatment assignment across 16 schools): Average treatment effects of VP (blue) and IW (red) compared to control on same-day, post-meeting efficacy, pro-education political behaviors, and feeling respected (with 95% and 90% CIs). OLS models controlling for demographic covariates with school fixed effects and cluster-robust standard errors. VP–IW difference (black).

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