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Coethnicity and Corruption: Field Experimental Evidence from Public Officials in Malawi

Published online by Cambridge University Press:  02 April 2019

Brigitte Seim*
Affiliation:
Department of Public Policy, University of North Carolina, Chapel Hill, NC 27599, USA
Amanda Lea Robinson
Affiliation:
Department of Political Science, The Ohio State University, Columbus, OH 43210, USA
*
*Corresponding author. Email: bseim@ad.unc.edu
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Abstract

Corruption is widespread in many developing countries, though public officials’ discretion in the solicitation of bribes may expose some citizens to more corruption than others. We derive expectations about how shared ethnicity between government officials and citizens should influence the likelihood of bribe solicitation. We evaluate these expectations through a field experiment in which Malawian confederates seek electricity connections from real government offices – an interaction that is often accompanied by bribe solicitation. Our field experiment exogenously varied coethnicity between the official and the confederate. We find that coethnicity increases the likelihood of expediting an electricity connection, both with and without a bribe, which we interpret as evidence of parochial corruption.

Type
Short Report
Copyright
© The Experimental Research Section of the American Political Science Association 2019 

Public officials have discretion in targeting corruption and consider citizen characteristics in weighing the potential costs and benefits of soliciting a bribe (Fried, Lagunes, and Venkataramani Reference Fried, Lagunes and Venkataramani2010; Robinson and Seim Reference Robinson and Seim2018). How does coethnicity affect such calculations? When there is potential for mutual gain, but also risks inherent to the transaction (Treisman Reference Treisman2000), coethnics may be differentially targeted by public officials because of altruism (Bernhard, Fischbacher, and Fehr Reference Bernhard, Fischbacher and Fehr2006), greater trust in coethnics (Barr Reference Barr, Henrich, Boyd, Bowles, Camerer, Fehr and Gintis2004; Fershtman and Gneezy Reference Fershtman and Gneezy2001; Robinson Reference Robinson2016, Reference Robinson2017), and increased enforcement ability (Habyarimana et al. Reference Habyarimana, Humphreys, Posner and Weinstein2009; Kingston Reference Kingston2007; Miguel and Gugerty Reference Miguel and Gugerty2005).Footnote 1 In contrast, when a bribe is purely extractive rather than collusive, we should expect that non-coethnics will be differentially targeted.

The few existing studies of coethnicity and corruption use either observational (Isaksson Reference Isaksson2015; Smith Reference Smith2001) or lab experimental data (Waithima and Burns Reference Waithima, Burns, Nduku and Tenamwenye2014), which can suffer from social desirability bias, conflation of contact and corruption rates, and limited external validity. To overcome these challenges, we evaluate the effect of coethnicity on corruption in a real-world setting with public officials who did not know that their behavior was being studied. In particular, we conduct a field experiment in Malawi among government officials in response to requests for electricity connections.Footnote 2 Corruption within such transactions is mutually beneficial, with monetary benefits for the official and a faster connection for the customer, but also exposes officials to risk of sanctions. Under these conditions, we anticipate that coethnicity will facilitate corruption.Footnote 3

Research Design

We conducted a field experiment in Malawi, where corruption is rampant and significantly affects the lives of citizens (Chingaipe Reference Chingaipe2013; Kaufmann, Kraay, and Mastruzzi Reference Kaufmann, Kraay and Mastruzzi2012; Nawaz Reference Nawaz2012; Transparency International 2013; Zimmerman Reference Zimmerman2014, Reference Zimmerman, Patel and Wahman2015). We study the Electricity Supply Corporation of Malawi (ESCOM), the state-owned sole provider of electric power in Malawi, an institution perceived to be highly corrupt (Anti-Corruption Bureau 2012). Only 9% of Malawian citizens have access to electricity, one of the lowest connectivity rates in the world (United States Government 2013). We focus on citizens’ requests for residence-based electricity connections, which are often expedited in exchange for a bribe.

Malawian research confederates visited ESCOM offices along randomly assigned driving routes throughout the country (see Figure A.1 in the Supplementary Material).Footnote 4 In each of the resulting 52 ESCOM office visits, the confederate requested forms for a new residential electricity connection and discussed the cost with an ESCOM official. In this exchange, the public official had the opportunity to offer expedited service, either with or without simultaneously soliciting a bribe. Once this negotiation concluded, the confederate would leave with the forms under the pretense of gathering necessary funds.Footnote 5

As confederates were randomly assigned to an office visit route and the placement of officials in government posts was fixed during the time period of the study, we induce exogenous variation in coethnicity between confederates and government officials.Footnote 6 Confederates coded the ethnicity and region of origin for each public official using surname, accent, appearance, and information shared by the official.Footnote 7 We used these data to construct a dichotomous indicator of ethnic match between the public official and confederate in each interaction. The rate of coethnic matches, by confederate and confederate home region, are presented in Table 1. In our analysis, we use the region-based coding of coethnicity because regional identities within Malawi have been the most salient form of ethnic identity (Ferree and Horowitz Reference Ferree and Horowitz2010; Posner Reference Posner2004).

Results

In each interaction, a public official could either offer to expedite the confederate’s service or not and, in the course of doing so, ask for a bribe or not (see Figure B.1 in the Supplementary Material). We analyze whether coethnicity affects each of these three possible outcomes: normal service (non-expedited, no bribe), bribe (expedited service, bribe), or expedited (expedited service, no bribe).Footnote 8 As shown in Figure 1, corruption-free “regular” service was the modal outcome in non-coethnic interactions (44%), while coethnics were more likely to be offered expedited service with (44%) or without (38%) a bribe. Controlling for other treatments and contextual characteristics in a multinomial logistic regression (Table 2), coethnicity is a significant predictor of corrupt outcomes.Footnote 9

Note: Bars report the proportion of each outcome by confederate-official coethnicity and error bars represent standard errors.

Figure 1 Corruption outcomes by coethnicity.

Table 1 Observations, coethnic interactions, and home region interactions by confederate

Table 2 Coethnicity and corruption outcomes in ESCOM interactions

Models are estimated using multinomial logit, with normal service (non-expedited, no bribe) as the reference category.

Robust standard errors are reported in parentheses. *p < 0.10.

Discussion

This research provides evidence that coethnicity facilitates corruption. We attribute this effect to the nature of the corruption we study, which is collusive – with both public officials and citizens benefiting – but risky, especially to public officials (Zimmerman Reference Zimmerman2014). In a similarly collusive context in which we believe risk is lower, however, we found no effect of coethnicity (Robinson and Seim Reference Robinson and Seim2018). In combination, these results suggest that the risk of sanctions or retaliation may be particularly important in driving parochial corruption. Understanding how shared ethnicity shapes corruption patterns across contexts is thus a promising avenue for future research.

Supplementary Material

To view supplementary material for this article, please visit https://doi.org/10.1017/XPS.2019.8.

Author ORCIDs

Brigitte Seim 0000-0001-7963-4767, Amanda Lea Robinson 0000-0002-8315-7753

Footnotes

The authors contributed equally, and the ordering of the authors’ names reflects the principle of rotation across a series of articles. We are grateful to many colleagues for providing ideas and guidance on this project, especially Clark Gibson, Guy Grossman, Nahomi Ichino, Vlad Kogan, Paul Lagunes, Vittorio Merola, Jan Pierskalla, Nicholas Obradovich, and Pablo Querubin. The project also benefited from feedback at the 2014 NYU CESS Experimental Political Science Conference and the Comparative Politics Workshop at the Ohio State University. We especially wish to thank the dedicated and thoughtful team of research assistants in Malawi, who we do not list by name for their own protection. This research received human subjects approval from the Ohio State University Human Research Protection Program (HRPP), the University of California, San Diego’s Institutional Review Board, and the Malawi National Commission for Science and Technology’s (NCST) Committee on Research in the Social Sciences and Humanities. A pre-analysis plan for this study was filed with Open Science Framework prior to data collection and is available at http://goo.gl/OQRbWW. The data, code, and any additional materials required to replicate all analyses in this article are available at the Journal of Experimental Political Science Dataverse within the Harvard Dataverse Network, at: doi: 10.7910/DVN/N1HOB1. The authors have no conflicts of interest to report.

1 This type of corruption is typically referred to as ‘parochial’. Parochial corruption refers to situations in which shared identity conditions an official’s willingness to engage in corrupt activities, as opposed to market corruption in which collusive bribery is open to all (Kingston Reference Kingston2007; Scott Reference Scott1972).

2 We also evaluated bribe solicitation by police officers as part of a larger project; the results of those interactions are reported elsewhere (Robinson and Seim, Reference Robinson and Seim2018).

3 Our pre-analysis plan (see Appendix F in the Supplementary Material) pre-specified this hypothesis.

4 For more information about the research protocol, see Appendix A in the Supplementary Material.

5 The confederates did not actually pay any bribes or fees to ESCOM.

6 Confederates were also independently randomly assigned to signal either low or high socioeconomic status and either political connections or not. We control for these treatment assignments in our analysis but explore their effects on corruption outcomes elsewhere (Seim and Robinson Reference Seim and Robinson2019).

7 See Appendix A.4 in the Supplementary Material for information about coding ethnicity.

8 It is possible that a bribe would have been solicited at a later date for the interactions coded as expedited without a bribe. Indeed, some of the additional information provided by the confederates indicate that a few of the ESCOM officials were anticipating this possibility. However, combining the expedited and bribe categories does not change our core finding that coethnicity facilitates corruption (see Table C.1 in the Supplementary Material). Similarly, a dichotomous indicator of bribe solicitation, collapsing normal service and expedited service without a bribe, is also more common in coethnic interactions (see Table C.1 in the Supplementary material).

9 Incomplete records on the locations of ESCOM offices, budgetary restrictions, and data collection delays resulted in a smaller sample than we anticipated in the pre-analysis plan, as well as differences across the group of confederates in the number of ESCOM offices each visited. Due to the small sample, we run robustness checks detailed in Appendix C in the Supplementary Material, which align with the findings reported here.

References

Anti-Corruption Bureau. 2012. “Database of Citizen Corruption Reports.” Obtained from Anti-Corruption Bureau in June of 2012.Google Scholar
Barr, Abigail. 2004. Kinship, Familiarity, and Trust: An Experimental Investigation. In Foundations of Human Sociality: Economic Experiments and Ethnographic Evidence from Fifteen Small-Scale Societies, eds. Henrich, J., Boyd, R., Bowles, S., Camerer, C., Fehr, E. and Gintis, H.. Oxford, UK: Oxford University Press, 305–34.CrossRefGoogle Scholar
Bernhard, Helen, Fischbacher, Urs and Fehr, Ernst. 2006. Parochial Altruism in Humans. Nature 442(7105): 912–15.CrossRefGoogle ScholarPubMed
Chingaipe, Henry. 2013. “Malawi National Integrity System Assessment Report.” https://www.transparency.org/whatwedo/nisarticle/malawi_2013 (October 7, 2017).Google Scholar
Ferree, Karen and Horowitz, Jeremy. 2010. Ties that Bind? The Rise and Decline of Ethno-Regional Partisanship in Malawi, 1994–2009. Democratization 17(3): 534–63.CrossRefGoogle Scholar
Fershtman, Chaim and Gneezy, Uri. 2001. Discrimination in a Segmented Society: An Experimental Approach. The Quarterly Journal of Economics 116(1): 351–77.CrossRefGoogle Scholar
Fried, Brian J., Lagunes, Paul and Venkataramani, Atheendar. 2010. Corruption and Inequality at the Crossroad: A Multimethod Study of Bribery and Discrimination in Latin America. Latin American Research Review 45(1): 7697.CrossRefGoogle Scholar
Habyarimana, James, Humphreys, Macartan, Posner, Daniel N. and Weinstein, Jeremy M.. 2009. Coethnicity. New York, NY: Russel Sage Foundation.Google Scholar
Isaksson, Ann-Sofie. 2015. Corruption Along Ethnic Lines: A Study of Individual Corruption Experiences in 17 African Countries. Journal of Development Studies 51(1): 8092.CrossRefGoogle Scholar
Kaufmann, Daniel, Kraay, Aart and Mastruzzi, Massimo. 2012. “Worldwide Governance Indicators (WGI) Project.” http://info.worldbank.org/governance/wgi/index.aspx#home (October 7, 2017).Google Scholar
Kingston, Christopher. 2007. Parochial Corruption. Journal of Economic Behavior and Organization 63(1): 7387.CrossRefGoogle Scholar
Miguel, Edward and Gugerty, Mary Kay. 2005. Ethnic Diversity, Social Sanctions, and Public Goods in Kenya. Journal of Public Economics 89(11–12): 2325–68.CrossRefGoogle Scholar
Nawaz, Farzana. 2012. Overview of Corruption and Anti-Corruption in Malawi. Technical Report U4 Expert Answers. U4 Helpdesk, Transparency International, https://www.u4.no/publications/overview-of-corruption-and-anti-corruption-in-malawi (December 12, 2014)Google Scholar
Posner, Daniel N. 2004. The Political Salience of Cultural Difference: Why Chewas and Tumbukas are Allies in Zambia and Adversaries in Malawi. American Political Science Review 98(4): 529–45.CrossRefGoogle Scholar
Robinson, Amanda Lea. 2016. Nationalism and Ethnic-Based Trust: Evidence from an African Border Region. Comparative Political Studies 49(14): 1819–54.CrossRefGoogle Scholar
Robinson, Amanda Lea. 2017. Ethnic Diversity, Segregation, and Ethnocentric Trust in Africa. British Journal of Political Science. 123, doi:10.1017/S0007123417000540 Google Scholar
Robinson, Amanda Lea and Seim, Brigitte. 2018. Who is Targeted in Corruption? Disentangling the Effects of Wealth and Power on Exposure to Bribery. Quarterly Journal of Political Science 13(3): 313–31.CrossRefGoogle Scholar
Scott, J. C. 1972. Comparative Political Corruption. Englewoods Cliffs, NJ: Prentice Hall.Google Scholar
Seim, Brigitte and Robinson, Amanda. 2019. Replication Data for: Coethnicity and Corruption: Field Experimental Evidence from Public Officials in Malawi. Harvard Dataverse, V1, UNF:6:hSS2gJJMSV6KQM312qxg+A== [fileUNF]. doi: 10.7910/DVN/N1HOB1 Google Scholar
Smith, Daniel Jordan. 2001. Kinship and Corruption in Contemporary Nigeria. Ethnos 66(3): 344–64.CrossRefGoogle Scholar
Transparency International. 2013. “Global Corruption Barometer.” https://www.transparency.org/gcb2013 (October 7, 2017).Google Scholar
Treisman, Daniel. 2000. The Causes of Corruption: A Cross-National Study. Journal of Public Economics 76(June): 399457.CrossRefGoogle Scholar
United States Government. 2013. The World Factbook. Washington, DC: Central Intelligence Agency.Google Scholar
Waithima, A. and Burns, Justine. 2014. The Role of Ethnic Heterogeneity on Corruption: Experimental Evidence from Kenya. In Corruption in Africa: A Threat to Justice and Sustainable Peace, eds. Nduku, Elizabeth and Tenamwenye, John. Geneva, Switzerland: Globethnics.net, 169203.Google Scholar
Zimmerman, Brigitte. 2014. Transparency, Accountability, and Corruption Displacement: Multi-Method Evidence from Local Government in Malawi. Ph.D. diss. University of California, San Diego.Google Scholar
Zimmerman, Brigitte. 2015. Voter Response to Scandal: Cashgate and the Malawian Election. In Democracy Maturing? The 2014 Malawi Tripartite Elections, eds. Patel, Nandini and Wahman, Michael. Lilongwe: National Initiative for Civic Education, 215235.Google Scholar
Figure 0

Figure 1 Corruption outcomes by coethnicity.

Note: Bars report the proportion of each outcome by confederate-official coethnicity and error bars represent standard errors.
Figure 1

Table 1 Observations, coethnic interactions, and home region interactions by confederate

Figure 2

Table 2 Coethnicity and corruption outcomes in ESCOM interactions

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