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Voters' Information, Corruption, and the Efficiency of Local Public Services

Author

Listed:
  • Graziano Abrate
  • Federico Boffa
  • Fabrizio Erbetta
  • Davide Vannoni

Abstract

This paper explores the link between voters information, corruption and efficiency in the context of a career concern model where politically connected local monopolies are in charge of the provision of a local public service. We find that both a corrupt environment and a low level of voters? information on managerial actions induce managers to reduce effort levels, thereby contributing to drive down efficiency. We test our predictions using data on solid waste management services provided by a large sample of Italian municipalities. We estimate a stochastic cost frontier model that provides robust evidence that services provided in more corrupt regions and in regions with low voters? information are substantially less cost efficient. We show that the negative impact of a corrupt environment is weaker for municipalities ruled by left-wing parties, while the positive impact of voters? information is larger if the waste collection service is managed by limited liability companies. We finally quantify potential cost savings associated to operating in a less corrupt environment and in one in which voters are more informed through a simulation on six major Italian cities. The magnitude of the figures suggests that effective anti-corruption measures, and/or carefully designed incentives for citizens to acquire information, can generate sig- nificant economic benefits.

Suggested Citation

  • Graziano Abrate & Federico Boffa & Fabrizio Erbetta & Davide Vannoni, 2016. "Voters' Information, Corruption, and the Efficiency of Local Public Services," Carlo Alberto Notebooks 446, Collegio Carlo Alberto.
  • Handle: RePEc:cca:wpaper:446
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    Cited by:

    1. Cristina M. Campos-Alba & Emilio J. De la Higuera-Molina & Gemma Pérez-López & José L. Zafra-Gómez, 2019. "Measuring the Efficiency of Public and Private Delivery Forms: An Application to the Waste Collection Service Using Order-M Data Panel Frontier Analysis," Sustainability, MDPI, vol. 11(7), pages 1-15, April.
    2. Wei Ye & Xiaozhou Liu & Jinlong Li & Rong Wu, 2025. "Digital Economy: The Engine of Public Service Efficiency," Sustainability, MDPI, vol. 17(11), pages 1-23, June.
    3. Baraldi, Anna Laura & Cantabene, Claudia & De Iudicibus, Alessandro, 2024. "Fighting crime to improve recycling: Evaluating an anti-mafia policy on source separation of waste," Ecological Economics, Elsevier, vol. 224(C).
    4. Graziano Abrate & Federico Boffa & Fabrizio Erbetta & Davide Vannoni, 2018. "Voters’ Information, Corruption, and the Efficiency of Local Public Services," Sustainability, MDPI, vol. 10(12), pages 1-22, December.
    5. Alexandre Morais Nunes & Diogo Filipe da Cunha Ferreira, 2022. "Evaluating Portuguese Public Hospitals Performance: Any Difference before and during COVID-19?," Sustainability, MDPI, vol. 15(1), pages 1-23, December.
    6. Baraldi, Anna Laura & Cantabene, Claudia & De Iudicibus, Alessandro, 2023. "Fighting crime for improved recycling: evaluating an anti-mafia policy on source separation of waste," MPRA Paper 120296, University Library of Munich, Germany.

    More about this item

    Keywords

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    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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