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Does Transparency Lead To Coproduction?

Author

Listed:
  • Gregory A. PORUMBESCU
  • Nicola BELLE
  • Maria CUCCINIELLO
  • Greta NASI

Abstract

Theory linking transparency to good governance predicts that greater disclosure will render public organizations more responsive by encouraging citizens to engage in processes that govern the delivery of public services. Yet, increasingly, empirical research indicates our theoretical understanding of this relationship is limited. We reason this is because extant theory overlooks mechanisms responsible for link transparency to citizen engagement. Accordingly, we predict that effects of transparency on citizen engagement depend on whether content is presented in ways that are conducive to citizen understanding. Specifically, we hypothesize that negatively framed information resonates more with citizens, thus contributing to greater understanding and, subsequently, engagement. We estimate the indirect effect of transparency on citizen engagement using a parallel encouragement experimental design and representative sample of US citizens (n=836). Counter to predictions, participants understood positively framed information better than negatively framed information. Further, understanding has a strong effect on engagement. Finally, we identify an indirect effect (via understanding) and no direct effects of transparency, ruling out alternative causal mechanisms.

Suggested Citation

  • Gregory A. PORUMBESCU & Nicola BELLE & Maria CUCCINIELLO & Greta NASI, 2019. "Does Transparency Lead To Coproduction?," TAD 14 The disciplines and the study of Public Administration: Transatlantic perspectives in the margin of the 14th Administration and Public Management International Conference, Bucharest, June 6-18 6, Research Centre in Public Administration and Public Services, Bucharest, Romania.
    • Handle: RePEc:rom:tadase:6
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    File URL: https://ccasp.ase.ro/TAD/6.pdf
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    References listed on IDEAS

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    1. Imai, Kosuke & Keele, Luke & Tingley, Dustin & Yamamoto, Teppei, 2011. "Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies," American Political Science Review, Cambridge University Press, vol. 105(4), pages 765-789, November.
    2. Angela M. Evans & Adriana Campos, 2013. "Open Government Initiatives: Challenges of Citizen Participation," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 32(1), pages 172-185, January.
    3. Joshua D. Angrist & Jörn-Steffen Pischke, 2014. "Mastering ’Metrics: The Path from Cause to Effect," Economics Books, Princeton University Press, edition 1, number 10363.
    4. Michener, Gregory, 2015. "Policy Evaluation via Composite Indexes: Qualitative Lessons from International Transparency Policy Indexes," World Development, Elsevier, vol. 74(C), pages 184-196.
    5. Lynch, John G, Jr, 1982. "On the External Validity of Experiments in Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(3), pages 225-239, December.
    6. Gaventa, John & Barrett, Gregory, 2012. "Mapping the Outcomes of Citizen Engagement," World Development, Elsevier, vol. 40(12), pages 2399-2410.
    7. Imai, Kosuke & Yamamoto, Teppei, 2013. "Identification and Sensitivity Analysis for Multiple Causal Mechanisms: Revisiting Evidence from Framing Experiments," Political Analysis, Cambridge University Press, vol. 21(2), pages 141-171, April.
    8. van Eijk & Steen, 2014. "Why People Co-Produce: Analysing citizens' perceptions on co-planning engagement in health care services," Public Management Review, Taylor & Francis Journals, vol. 16(3), pages 358-382, April.
    9. John Alford, 2016. "Co-Production, Interdependence and Publicness: Extending public service-dominant logic," Public Management Review, Taylor & Francis Journals, vol. 18(5), pages 673-691, May.
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    More about this item

    Keywords

    Transparency; Citizen engagement in coproduction; Good governance; Public services;
    All these keywords.

    JEL classification:

    • H83 - Public Economics - - Miscellaneous Issues - - - Public Administration

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    This paper has been announced in the following NEP Reports:

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