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Lighting and Homicides: Evaluating the Effect of an Electrification Policy in Rural Brazil on Violent Crime Reduction

Journal of Quantitative Criminology volume 34, pages 1047–1078 (2018)Cite this article

Abstract

Introduction

This study estimates the effects of lighting on homicides in rural areas of developing countries.

Methods

We use an IV strategy by exploring the LUZ PARA TODOS or Light for All (LPT) program that was adopted by the federal government to expand electrification to rural areas in Brazilian municipalities in the 2000s as an exogenous source of variations in access to electricity.

Results

Our results indicate a significant decrease in homicide rates in municipalities the Northeast region, which is the poorest region of the country and most affected by the policy expansion. We estimate that helping a municipality increase from zero electricity coverage to full coverage reduces homicide rates by 92 per 100,000 inhabitants. This is equivalent to moving a municipality that is at the 99th percentile to the median (zero) of the crime distribution across municipalities. In addition, we perform placebo exercises using sub-samples of predominantly urban municipalities. The results increase our confidence in the IV strategy since our primary results were from areas with a larger percentage of rural population, as should be expected by the policy.

Conclusions

This study contributes to the extant literature by investigating the effects of lighting on homicides in a different context, rural areas of a developing country (Brazil).

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Notes

  1. Berg and Lauritsen (2016) mention the problems of using police report data in the US.

  2. http://databank.worldbank.org/data/reports.aspx?source=2&series=VC.IHR.PSRC.P5&country.

  3. http://datasus.saude.gov.br/.

  4. See Clarke and Weisburd (1994) regarding the benefits of controlling crime.

  5. Another important issue is situational crime prevention (Clarke and Felson 1993; Felson 1994). Prevention techniques seek to decrease the number of suitable victims and increase the presence of control and guardians at all times. We understand that electrification per se is not a prevention technique to avoid crime. However, electrification influences the environment of crime. The line of separation between the theories is not clear cut.

  6. Studies regarding criminology attribute the foundation of RCT to Cornish and Clarke (1986). However, Loughran et al. (2016) claims that Becker (1968) was the founding author.

  7. The rational choice for individual j can be calculated by the equation: E(Uj) = pjUj(Yj − fj) + (1 − pj)U(Yj); where E(Uj) represents the individual’s expected utility of crime (j); p represents the probability of detection; Yj represents the benefits that the individual obtains after a successful crime; and f represents the severity of the sanction that the individual receives if he/she is apprehended.

  8. A contextual level includes the publicity of the sanction, police visibility, and sanction enforcement (prescribed punishment) and affects the risk perception of an individual and potential criminal behavior (Apel 2013).

  9. The evidence of individuals’ risk perception regarding crime is negative and weak (see the overview in Apel 2013).

  10. The effect on crime is not homogenous for different groups of society. Clearly, this effect is dominant for male youth.

  11. Fajnzylber et al. (2002b) estimate that a one percentage point increase in the growth rate of income per capita is associated with a 2.4% decline in homicide rates.

  12. Finan and Ferraz (2011) describe the importance of the radio as the mechanism that described the punishment of a corrupt mayor in Brazil.

  13. http://www.brasil.gov.br/infraestrutura/2011/04/luz-para-todos-atende-6-milhoes-no-nordeste.

  14. http://datasus.saude.gov.br/. See Cerqueira (2010).

  15. Controlling for the population and specific groups within the population is highly important in studies regarding crime. See Chalfin and McCrary (2012a) and Levitt (1998a, b).

  16. It is unclear whether police officers work for the municipal, state or federal government inside the municipality. Brazil has municipal, state, and federal police. Therefore, we consider in our measure, all individuals who are registered as police officers inside the municipality.

  17. The working adult population is defined as all individuals who are 18 years old or older and occupied as paid employees, non-paid-employees, self-employed, or receiving subsistence.

  18. All figures are constructed using Calonico et al.’s (2014) methodology.

  19. Table 8 in the “Appendix” provides the IV results with only observable controls (non-significant) and the reduced form between our instrument variable (electrification criterion2000 * Year dummy (2010)) and homicides (positive and significant at 10% level).

References

  • Apel R (2013) Sanctions, perceptions, and crime: implications for criminal deterrence. J Quant Criminol 29(1):67–101

    Article  Google Scholar 

  • Atlanta Regional Commission (1974) Street light project: final evaluation report. Atlanta, Georgia

    Google Scholar 

  • Barnes DF, Waddle D (2004). Power-sector reform and the rural poor in Central America. Energy Sector Management Assistance Program, Washington, DC: The World Bank Report297/04

  • Becker GS (1968) Crime and punishment: an economic approach. J Polit Econ 76(2):169–217

    Article  Google Scholar 

  • Bensch G, Kluve J, Peters J (2011) Impacts of rural electrification in Rwanda. J Dev Eff 3(4):567–588

    Article  Google Scholar 

  • Berg MT, Lauritsen JL (2016) Telling a similar story twice? NCVS/UCR convergence in serious violent crime rates in rural, suburban, and urban places (1973–2010). J Quant Criminol 32(1):61–87

    Article  Google Scholar 

  • Bertrand M, Duflo E, Mullainathan S (2004) How much should we trust differences-in-differences Estimates? Q J Econ 119:249–275

    Article  Google Scholar 

  • Biderman C, De Mello JMP, Schneider A (2009) Dry laws and homicides: evidence from the São Paulo Metropolitan Area. Econ J 120(543):157–182

    Article  Google Scholar 

  • Braga A, Weisburd D (2010) Policing problem places: crime hot spots and effective prevention. Oxford University Press, Oxford

    Book  Google Scholar 

  • Brasil (2013) Ministério de Minas e Energia. Programa Nacional de Universalização do Acesso e uso da Energia Elétrica. Manual de Operacionalização do Programa Luz Para Todos. Revisão no6, de 22 de fevereiro de

  • Calonico S, Cattaneo MD, Titiunik R (2014) Rosbust nonparametric confidence intervals for regression-discontinuity designs. Econometrica 82(6):2295–2326

    Article  Google Scholar 

  • Cerqueira DRC (2010) Causas e Consequências do Crime no Brasil. Tese de Doutorado em Economia—Pontifícia Universidade Católica do Rio de Janeiro

  • Chalfin A, McCrary J (2012a) The effect of police on crime: new evidence from U.S. cities, 1960–2010, NBER number 18815

  • Chalfin A, McCrary J (2012b) Criminal deterrence: a review of the literature. J Econ Lit

  • Clarke R, Mayhew P (1980) Designing out crime. HMSO, London, p 186

    Google Scholar 

  • Clarke RV, Felson M (1993) Introduction: criminology, routine activity and rational choice. In: Clarke RV, Felson M (eds) Routine activity and rational choice. Advances in Criminological Theory, Vol 5. Transaction Publications, New Brunswick, NJ.

    Google Scholar 

  • Clarke RV, Weisburd D (1994) Diffusion of crime control benefits: observations on the reverse of displacement. In: Clarke RV (ed) Crime prevention studies, vol 2. Criminal Justice Press, Monsey, p 165183

    Google Scholar 

  • Cornish D, Clarke RV (1986) The reasoning criminal: rational choice perspectives on offending. Springer, New York, NY

    Book  Google Scholar 

  • De Hann W, Vos J (2003) A crying shame: the over-rationalized conception of man in the rational choice perspective. Theor Criminol 7(1):29–54

    Article  Google Scholar 

  • Department of Intergovernamental Fiscal Liaison (1973) Preliminary report—Milwaukee high intensity street lighting project. Milwaukee, Wisconsin

    Google Scholar 

  • Di Tella R, Schargrodsky E (2004) Do police reduce crime? Estimates using the allocation of police forces after a terrorist attack. Am Econ Rev 94(1):115–133

    Article  Google Scholar 

  • Dinkelman T (2011) The effects of rural electrification on employment: new evidence from South Africa. Am Econ Rev 101(7):3078–3108

    Article  Google Scholar 

  • Dolec JL, Sanders NJ (2015) Under the cover of dakness: how ambient light influences criminal activity. Rev Econ Stat 97(5):1093–1103

    Article  Google Scholar 

  • Draca M, Machin S, Witt R (2011) Panic on the streets of London: police, crime, and the July 2005 terror attacks. Am Econ Rev 101(5):2157–2181

    Article  Google Scholar 

  • Fajnzylber P, Lederman D, Loyaza NV (2002a) Inequality and violent crime. J Law Econ 45(1):1–40

    Article  Google Scholar 

  • Fajnzylber P, Lederman D, Loyaza NV (2002b) What causes violent crimes? Eur Econ Rev 46(7):1323–1357

    Article  Google Scholar 

  • Felson M (1994) Crime and everyday life: insight and implications for society. Pine Forge Press, Thousand Oaks

    Google Scholar 

  • Ferraz C, Finan F (2011) Electoral accountability and corruption: evidence from the audits of local governments. Am Econ Rev 101(4):1274–1311

    Article  Google Scholar 

  • Gould ER, Weinberg BA, Mustard DB (2002) Crime rates and local labor market opportunities in the United States. Rev Econ Stat 84(1):45–61

    Article  Google Scholar 

  • Harrisburg Police Department (1976) Final evaluation report of the “High Intensity Street Lighting Program”. Harrisburg, Pennsylvania: Planning and Research Section, Staff and Technical Services Division, Harrisburg Police Department

  • Inskeep NR, Goff C (1974) A preliminary evaluation of the Portland lighting project. Oregon Law Enforcement Council, Salem, Oregon

    Google Scholar 

  • Khander S, Barnes D, Samad H (2009) Welfare impacts of rural electrification—evidence from Vietnam. Washington: World Bank 2009, p 51. (Policy Research Working Paper, No. 5057)

  • Khander S, Barnes D, Samad H (2012) Welfare impacts of rural electrification: a case study from Bangladesh. Energy J 10(1):187–206

    Google Scholar 

  • Levitt SD (1998a) Juvenile crime and punishment. J Polit Econ 106:1156–1185

    Article  Google Scholar 

  • Levitt SD (1998b) Why do increased arrest rates aper to reduce crime: deterrence, incapacitation, or measurement error? Econ Inq 36(3):353–372

    Article  Google Scholar 

  • Levitt SD (1999) The limited role of changing age structure in explaining aggregate crime rates. Criminology 37(3):581–598

    Article  Google Scholar 

  • Levitt SD (2002) Using electoral cycles in police hiring to estimate the effect of police on crime: reply. Am Econ Rev 92(4):1244–1250

    Article  Google Scholar 

  • Lewis EB, Sullivan TT (1979) Combating crime and citizen attitudes: a case study of the corresponding reality. J Crim Justice 7:71–79

    Article  Google Scholar 

  • Loughran T, Paternoster R, Chalfin A, Wilson T (2016) Can rational choice be considered a general theory of crime? Evidence from individual-level panel data. Criminology 54:86–112

    Article  Google Scholar 

  • McCrary J (2002) Using electoral cycles in police hiring to estimate the effect of police on crime: comment. Am Econ Rev 92:1236–1243

    Article  Google Scholar 

  • Modi V, McDade S, Lallement D, Saghir J (2006) Energy services for the millennium development goals. Energy Sector Management Assistance Program, United Nations Development Programme, UN Millennium Project, World Bank, New York, USA, p 109

  • Painter KA, Farrington DP (1997) The crime reducing effect of improved street lighting: the Dudley project. In: Clarke RV (ed) Situational crime prevention: successful case studies, 2nd edn. Harrow and Heston, Guilderland, pp 209–226

    Google Scholar 

  • Painter KA, Farrington DP (2001) The financial benefits of improved street lighting, based on crime reduction. Light Res Technol 33:3–12

    Article  Google Scholar 

  • Pease K (1999) A review of street lighting evaluations: crime reduction effects. Crime Prev Stud 10(1):47–76

    Google Scholar 

  • Poyner B (1991) Situational crime prevention in two parking facilities. Secur J 2:96–101

    Google Scholar 

  • Poyner B, Webb B (1992) Reducing theft from shopping bags in city centre markets. In: Clarke R (ed) Situational crime preventions: successful case studies, 2nd edn. Harrow and Heston, Albany, NY, pp 83–89

    Google Scholar 

  • Quinet KD, Nunn S (1998) Illuminating crime: the impact of street lighting on calls for police service. Eval Rev 22:751–779

    Article  Google Scholar 

  • Raphael S, Winter-Ebmer R (2001) Identifying the effect of unemployment on crime. J Law Econ 44(1):259–284

    Article  Google Scholar 

  • Reel M (2007) In Rio, death comes early: Juveniles are often victim as gangs, police vie for control of slums 2007. Washington Post, Washington, April 16, 2007, Washington Post Foreign Service

  • Shaftoe H (1994) Easton/Ashley, Bristol: Lighting improvements. In: Osborn S (ed) Housing safe communities: an evaluation of recent initiatives. Safe Neighbourhoods Unit, London, pp 72–77

    Google Scholar 

  • Soares RR, Naritomi J (2010) Understanding high crime rates in Latin America: the role of social and policy factors. In: The economics of crime: lessons for and from Latin America, University of Chicago, pp 63–97

  • Sternhell R (1977) The limits of lighting: the new orleans experiment in crime reduction: final impact evaluation report. Mayor’s Criminal Justice Coordinating Council, New Orleans, Louisiana

    Google Scholar 

  • Stigler G (1970) The optimum enforcement of laws. J Polit Econ 78(3):526–536

    Article  Google Scholar 

  • Waldo GP, Chiricos TG (1972) Perceived penal sanctions and self-reported criminality: a neglected approach to deterrence research. Soc Probl 19:522–540

    Article  Google Scholar 

  • Welsh B, Farrington D (2008) Effects of improved street lighting on crime. Campbell Syst Rev 13:1–51

    Google Scholar 

  • Wright R, Heilweil M, Pelletier P, Dickinson K (1974) The impact of street lighting on crime. University of Michigan, Ann Arbor, Michigan

    Google Scholar 

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Author information

Authors and Affiliations

  1. São Paulo School of Business Administration – Department of Economics and Center for Applied Microeconomic Studies, Getulio Vargas Foundation, São Paulo, Brazil

    Paulo Arvate

  2. Sao Paulo School of Economics, Getulio Vargas Foundation, São Paulo, Brazil

    Filipe Ortiz Falsete

  3. Deparment of Economics, Federal University of Pelotas and Center for Applied Microeconomic Studies, Getulio Vargas Foundation, São Paulo, Brazil

    Felipe Garcia Ribeiro

  4. Sao Paulo School of Economics and Center for Applied Microeconomic Studies, Getulio Vargas Foundation, São Paulo, Brazil

    André Portela Souza

Authors
  1. Paulo Arvate
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  2. Filipe Ortiz Falsete
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  3. Felipe Garcia Ribeiro
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  4. André Portela Souza
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Corresponding author

Correspondence to Paulo Arvate.

Appendix

Appendix

See Tables 6, 7, 8 and 9 and Figs. 3 and 4.

Table 6 First-stage results—different regions
Full size table
Table 7 First-stage results Placebo—different sub-sample for the percentage of population in rural areas
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Table 8 Lighting and homicides by Place of Death—Brazil
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Table 9 Other mechanisms—Northeast
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Arvate, P., Falsete, F.O., Ribeiro, F.G. et al. Lighting and Homicides: Evaluating the Effect of an Electrification Policy in Rural Brazil on Violent Crime Reduction. J Quant Criminol 34, 1047–1078 (2018). https://doi.org/10.1007/s10940-017-9365-6

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Keywords

  • Homicide
  • Lighting
  • Hospital homicide data
  • Rural areas
  • Brazil

JEL Classification

  • O10
  • O18
  • K42