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Less Cash, Less Theft? Evidence from Fintech Development in the People’s Republic of China

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Listed:
  • Jiang, Hongze

    (Asian Development Bank Institute)

  • Liang, Pinghan

    (Asian Development Bank Institute)

Abstract

We investigate the impact of fintech development on an important type of crime: theft. Based on Becker’s rational criminal theory, we suggest that fintech development could mitigate theft activities by increasing the earnings from legitimate work, relaxing potential criminals’ financial constraints, and reducing the expected gains from theft. We established a unique dataset containing information on more than 1 million theft defendants during the period 2014–2018, which we extracted from 874,000 judgment statements. Then, we aggregated them to construct a city-year panel of theft activities and matched it with the city-level economic activities and Fintech development level. The results show that a 1 standard deviation increase in the fintech development level has a significant association with a 0.39 standard deviation decrease in thefts’ density. Robustness checks and instrumental variable estimation support the main results. Further, the development of fintech reduces the density of thefts by reducing residents’ cash holding and providing more job opportunities. Finally, we utilized a nationally representative household survey to estimate the cost of theft for households, finding that victims suffer from more mental health problems, increasing their health expenditure. Our results suggest an unexpected source of welfare gain from the development of fintech: an improvement in public security.

Suggested Citation

  • Jiang, Hongze & Liang, Pinghan, 2021. "Less Cash, Less Theft? Evidence from Fintech Development in the People’s Republic of China," ADBI Working Papers 1282, Asian Development Bank Institute.
  • Handle: RePEc:ris:adbiwp:1282
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    References listed on IDEAS

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    More about this item

    Keywords

    fintech; theft; crime; People’s Republic of China;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • G59 - Financial Economics - - Household Finance - - - Other
    • K14 - Law and Economics - - Basic Areas of Law - - - Criminal Law
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

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