scholarly journals Classical deterrence theory revisited: An empirical analysis of Police Force Areas in England and Wales

2022 ◽  
pp. 147737082110724
Author(s):  
Juste Abramovaite ◽  
Siddhartha Bandyopadhyay ◽  
Samrat Bhattacharya ◽  
Nick Cowen

The severity, certainty and celerity (swiftness) of punishment are theorised to influence offending through deterrence. Yet celerity is rarely included in empirical studies of criminal activity and the three deterrence factors have never been analysed in one empirical model. We address this gap with an analysis using unique panel data of recorded theft, burglary and violence against the person for 41 Police Force Areas in England and Wales using variables that capture these three theorised factors of deterrence. We find that the three factors affect crime in different ways. Increased detection by the police (certainty) is associated with reduced theft and burglary but not violence. We find that variation in the celerity of sanction has a significant impact on theft offences but not on burglary or violence offences. Increased average prison sentences (severity) reduce burglary only. We account for these results in terms of data challenges and the likely different motivations underlying violent and acquisitive crime.

2021 ◽  
Vol 13 (11) ◽  
pp. 6003
Author(s):  
Manuel Carlos Nogueira ◽  
Mara Madaleno

Every year, news about the publication of rankings and scores of important international indexes are highlighted, with some of the most prestigious being the Global Competitiveness Index (GCI), the Human Development Index (HDI), the Ease of Doing Business (EDB), the Environmental Performance Index (EPI) and the Global Entrepreneurship (GEI). A country’s progression in these indices is associated with economic growth, especially since several empirical studies have found evidence to reinforce these beliefs, the indices having been built based on the scientific literature on economic growth. Building a database on these indices for European Union countries between 2007 and 2017 and using panel data methodologies and then 2SLS (Two-Stage Least Squares) to solve the problem of endogeneity, we verify empirically through panel data estimates, what is the relationship between the mentioned indices and the European Union countries’ economic growth for the period. However, as the European Union is made up of diverse countries with different economic and social realities, we divided the countries into six clusters and made an individual interpretation for each one. We found that human development and competitiveness play an important role in economic growth, and entrepreneurship also impacts this growth. Regarding income distribution, applying the Gini index, we found that only human development mitigates inequalities.


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