Do searches on Google help in deterring property crime? Evidence from Indian states

被引:0
作者
Bhushan S. [1 ]
Jha S. [2 ]
机构
[1] Department of Economic Sciences, Indian Institute of Technology Kanpur, Kanpur
[2] Indian Institute of Management Ranchi, Ranchi
关键词
Google trends; India; Poisson quasi-maximum likelihood; Property crime;
D O I
10.1007/s11135-023-01694-9
中图分类号
学科分类号
摘要
Crime is a major social problem in most developed and developing countries. It induces a social, economic, and psychological impact on the victim. Over the last few decades, India has also witnessed an increasing trend in crime rates. The majority of these crimes are property-related. This study aims to examine the relationship between online preventive searches on Google and the reduction in property crimes in the states of India. We use Poisson quasi-maximum likelihood estimation to analyze the panel dataset for four states on monthly frequency for the period 2017 to 2020. Our results indicate that preventive searches on Google are significantly related to reduced property crimes like Burglary, Robbery, and Theft. A one percent increase in preventive Google searches reduces property crimes by 0.37–0.60%. “Target Hardening” and “Formal Social Control” appear to be the highly correlated preventive inquiries, while “Surveillance” appear to be the least correlated. Our findings indicate that personal precautions are a much more reliable measure for preventing property-related crime than community-level measures. Our result remains robust for both the socially less progressive and highly progressive states. This study contributes to policy discussions by taking a new perspective, providing novel empirical evidence, and contributing to academia through its quantitative approach. © The Author(s), under exclusive licence to Springer Nature B.V. 2023.
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页码:1255 / 1277
页数:22
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  • [1] Anderson A., Goel S., Huber G., Malhotra N., Watts D.J., Political ideology and racial preferences in online dating, Sociol. Sci, 1, pp. 28-40, (2014)
  • [2] Askitas N., Zimmermann K.F., Google econometrics and unemployment forecasting, Appl. Econ. Q, 55, 2, pp. 107-120, (2009)
  • [3] Bharadwaj A., Is poverty the mother of crime? Empirical evidence of the impact of socioeconomic factors on crime in India, Atl. Rev. Econ., 1, (2014)
  • [4] Carriere-Swallow Y., Labbe F., Nowcasting with Google trends in an emerging market, J. Forecast, 32, 4, pp. 289-298, (2013)
  • [5] Choi H., Varian H., Predicting the present with Google trends, Econ. Rec, 88, pp. 2-9, (2012)
  • [6] Cohen L.E., Felson M., Social change and crime rate trends: a routine activity approach, Classics in Environmental Criminology, pp. 203-232, (1979)
  • [7] D'Amuri F., Marcucci J., The predictive power of Google searches in forecasting US unemployment, Int. J. Forecast, 33, 4, pp. 801-816, (2017)
  • [8] Da Z., Engelberg J., Gao P., In search of attention, J. Financ, 66, 5, pp. 1461-1499, (2011)
  • [9] Denzer M., Schank T., Upward R., Does the internet increase the job finding rate? Evidence from a period of expansion in internet use, Inf. Econ. Policy, 55, (2021)
  • [10] Dreze J., Khera R., Crime, gender, and society in India: insights from homicide data, Popul. Dev. Rev, 26, 2, pp. 335-352, (2000)