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Who Knows How to Govern? Procedural Knowledge in India’s Small-Town Councils

Published online by Cambridge University Press:  31 July 2024

ADAM MICHAEL AUERBACH*
Affiliation:
Johns Hopkins University, United States
SHIKHAR SINGH*
Affiliation:
Duke University, United States
TARIQ THACHIL*
Affiliation:
University of Pennsylvania, United States
*
Corresponding author: Adam Michael Auerbach, Associate Professor, School of Advanced International Studies, Johns Hopkins University, United States, aauerbach@jhu.edu.
Shikhar Singh, Assistant Professor, Department of Political Science, Duke University, United States, shikhar.singh@duke.edu.
Tariq Thachil, Professor, Department of Political Science, University of Pennsylvania, United States, thachil@sas.upenn.edu.
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Abstract

Governments across the Global South have decentralized a degree of power to municipal authorities. Are local officials sufficiently knowledgeable about how to execute their expanded portfolio of responsibilities? Past studies have focused on whether citizens lack the requisite information to hold local officials accountable. We instead draw on extensive fieldwork and a novel survey of small-town politicians in India to show that local officials themselves have distressingly low levels of procedural knowledge on how to govern. We further show that procedural knowledge shapes the capabilities of officials to represent their constituents and that asymmetries in knowledge may blunt the representative potential of these bodies. Finally, we show that winning office does not provide an institutionalized pathway to knowledge acquisition, highlighting the need for policy-based solutions. Our findings demonstrate the importance of assessing knowledge deficits among politicians, and not only citizens, to make local governance work.

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Type
Research 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 (http://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), 2024. Published by Cambridge University Press on behalf of American Political Science Association
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Figure 1. Governance in India’s Small Towns

Figure 1

Figure 2. Rajasthan’s Small TownsNote: Sampled towns in black points and non-sampled towns in white points. Shape files used in the map are from DataMeet and available here: http://projects.datameet.org/maps/.

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Table 1. Descriptive Statistics of Elected Representatives

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Table 2. Measuring Procedural Knowledge

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Figure 3. Small Town Politicians Display Low Procedural KnowledgeNote: The top panel reports the percentage of procedural knowledge questions pertaining to a domain that are correctly answered by local politicians. The bottom panel shows the percentage of local politicians that correctly answer individual questions that measure procedural knowledge. The figure shows 95% confidence intervals for every estimate, constructed using heteroskedasticity-robust (HC2) standard errors.

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Figure 4. Town-Level Variation in Procedural Knowledge

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Figure 5. Procedural Knowledge and Governing EfficacyNote: This figure shows the partial correlation between procedural knowledge and four measures of representational efficacy. The slopes here correspond to the regression coefficient for procedural knowledge reported in Appendix D of the Supplementary Material.

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Table 3. Correlates of Procedural Knowledge

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Figure 6. Incumbency Does Not Remedy Knowledge DeficitsNote: The top panel shows regression discontinuity plots using a linear specification, triangular weights, and MSE optimal bandwidth. The plots zoom-in on data around the cut point ($ \pm $25 percentage points). The bottom panel reports the difference at the cut point, specifically the robust estimate, standard error, and confidence interval generated by rdrobust. Estimates in Table 9 in Appendix F.4 of the Supplementary Material. Specification curves in Supplementary Figure 10.

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