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Corruption, regulation, and investment incentives

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  • De Chiara, Alessandro
  • Manna, Ester

Abstract

We study the optimal design of regulation for innovative activities which can have negative social repercussions. We compare two alternative regimes which may provide firms with different incentives to innovate and produce: lenient authorization and strict authorization. We find that corruption plays a critical role in the choice of the authorization regime. Corruption exacerbates the costs of using lenient authorization, under which production of socially harmful goods is always authorized. In contrast, corruption can be socially beneficial under strict authorization, since it can mitigate an over-investment problem. Hence, more pervasive corruption favors the adoption of a strict authorization regime and may increase welfare.

Suggested Citation

  • De Chiara, Alessandro & Manna, Ester, 2022. "Corruption, regulation, and investment incentives," European Economic Review, Elsevier, vol. 142(C).
  • Handle: RePEc:eee:eecrev:v:142:y:2022:i:c:s0014292121002798
    DOI: 10.1016/j.euroecorev.2021.104009
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    1. Zhu, Chen & Xia, Yuqing & Liu, Qing & Hou, Bojun, 2023. "Deregulation and green innovation: Does cultural reform pilot project matter," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 84-105.
    2. De Chiara, Alessandro & Manna, Ester, 2022. "Corruption and the case for safe-harbor regulation," Economics Letters, Elsevier, vol. 216(C).

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    More about this item

    Keywords

    Authorization; Collusion; Corruption; Extortion; Innovation; Investment incentives; Regulatory capture;
    All these keywords.

    JEL classification:

    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation

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