IDEAS home Printed from https://ideas.repec.org/a/pet/annals/v17y2017i1p101-114.html
   My bibliography  Save this article

Socio-Economic Determinants of Crime: Further Evidence from Nigeria

Author

Listed:
  • Sunday Osahon Igbinedion

    (University of Benin, Benin City, Nigeria)

  • Ikponwosa Ebomoyi

    (University of Benin, Benin City, Nigeria)

Abstract

This study examines the socioeconomic and demographic determinants of crime in Nigeria, using error-correction modelling approach for 1981-2015. The results indicate that the twin macroeconomic problems of inflation and unemployment positively impact on crime rate in Nigeria. The level of education was also found to be significant and negatively related to crime rates, suggesting that education not only make people risk averse, but also indirectly alters individual’s decision to adopt criminal behaviour. Also, the one-period lagged value of average income was significant and negatively related to crime rate, suggesting that, appreciable increase in per capita income tends to reduce the incentive to commit crime. Accordingly, the study recommends, among others, the need for the relevant authorities to design and implement policy measures aimed at combating the twin evil of inflation and unemployment on the one hand, and increasing the level of education and schooling, especially among the indigent.

Suggested Citation

  • Sunday Osahon Igbinedion & Ikponwosa Ebomoyi, 2017. "Socio-Economic Determinants of Crime: Further Evidence from Nigeria," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 17(1), pages 101-114.
  • Handle: RePEc:pet:annals:v:17:y:2017:i:1:p:101-114
    as

    Download full text from publisher

    File URL: https://www.upet.ro/annals/economics/pdf/2017/p1/Igbinedion-Ebomoyi.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Raphael, Steven & Winter-Ember, Rudolf, 2001. "Identifying the Effect of Unemployment on Crime," Journal of Law and Economics, University of Chicago Press, vol. 44(1), pages 259-283, April.
    2. Gary S. Becker, 1974. "Crime and Punishment: An Economic Approach," NBER Chapters, in: Essays in the Economics of Crime and Punishment, pages 1-54, National Bureau of Economic Research, Inc.
    3. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    4. Paolo Buonanno, 2003. "The Socioeconomic Determinants of Crime. A Review of the Literature," Working Papers 63, University of Milano-Bicocca, Department of Economics, revised Nov 2003.
    5. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    6. Chor Foon Tang & Hooi Hooi Lean, 2007. "Will Inflation Increase Crime Rate? New Evidence from Bounds and Modified Wald Tests," Global Crime, Taylor & Francis Journals, vol. 8(4), pages 311-323, November.
    7. Ferda Halicioglu, 2012. "Temporal causality and the dynamics of crime in Turkey," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 39(9), pages 704-720, July.
    8. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    9. Gaviria, Alejandro & Pages, Carmen, 2002. "Patterns of crime victimization in Latin American cities," Journal of Development Economics, Elsevier, vol. 67(1), pages 181-203, February.
    10. Ehrlich, Isaac, 1973. "Participation in Illegitimate Activities: A Theoretical and Empirical Investigation," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 521-565, May-June.
    11. Karin Edmark, 2005. "Unemployment and Crime: Is There a Connection?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 107(2), pages 353-373, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ajide, Folorunsho M., 2021. "Fiscal Policy and Crime Rate in Nigeria," African Journal of Economic Review, African Journal of Economic Review, vol. 9(4), September.
    2. Ajide Folorunsho M., 2019. "Institutional Quality, Economic Misery and Crime Rate in Nigeria," Economics and Business, Sciendo, vol. 33(1), pages 170-182, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mohamad Kassem & Amjad Ali & Marc Audi, 2019. "Unemployment Rate, Population Density and Crime Rate in Punjab (Pakistan): An Empirical Analysis," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 8(2), pages 92-104, June.
    2. Halicioglu, Ferda & Andrés, Antonio R. & Yamamura, Eiji, 2012. "Modeling crime in Japan," Economic Modelling, Elsevier, vol. 29(5), pages 1640-1645.
    3. Nouman Khaliq & Muhammad Shabbir & Zahira Batool, 2019. "Exploring the Influence of Unemployment on Criminal Behavior in Punjab, Pakistan," Global Regional Review, Humanity Only, vol. 4(1), pages 402-409, March.
    4. Serife Merve Kosaroglu, 2022. "Issizlik, Gelir, Nufus ve Suc Duzeyi Arasindaki Iliskinin Turkiye Icin Analizi," Journal of Social Policy Conferences, Istanbul University, Faculty of Economics, vol. 0(82), pages 35-52, June.
    5. Adenuga Fabian Adekoya & Nor Azam Abdul Razak, 2018. "Unemployment and Violence: ARDL Endogeneity Approach. (Desempleo y violencia: Enfoque de endogeneidad ARDL)," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 155-176, October.
    6. Yu Liu & Thomas M. Fullerton Jr. & Nathan J. Ashby, 2013. "Assessing The Impacts Of Labor Market And Deterrence Variables On Crime Rates In Mexico," Contemporary Economic Policy, Western Economic Association International, vol. 31(4), pages 669-690, October.
    7. Habibullah, M.S. & Law, Siong-Hook, 2008. "Property crime and macroeconomic variables in Malaysia: Some empirical evidence from a vector error-correction model," MPRA Paper 12112, University Library of Munich, Germany.
    8. Lau, Evan & Hamzah, Siti Nur Zahara, 2012. "Crimonometric Analysis: Testing the Deterrence Hypothesis in Sabah," MPRA Paper 39297, University Library of Munich, Germany.
    9. Saqib Amin & Nawaz Ahmad, 2018. "Ethnic Diversity, Social Exclusion and Economic Determinants of Crimes: A Case Study of Pakistan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(1), pages 267-286, November.
    10. Nikolaos Dritsakis & Alexandros Gkanas, 2009. "The effect of socio-economic determinants on crime rates: An empirical research in the case of Greece with cointegration analysis," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 2(2), pages 51-64, December.
    11. Altindag, Duha T., 2012. "Crime and unemployment: Evidence from Europe," International Review of Law and Economics, Elsevier, vol. 32(1), pages 145-157.
    12. Eduardo Ferraz & Rodrigo Soares & Juan Vargas, 2022. "Unbundling the relationship between economic shocks and crime," Chapters, in: Paolo Buonanno & Paolo Vanin & Juan Vargas (ed.), A Modern Guide to the Economics of Crime, chapter 8, pages 184-204, Edward Elgar Publishing.
    13. Corrado Giulietti & Brendon McConnell, 2020. "Kicking You When You're Already Down: The Multipronged Impact of Austerity on Crime," Papers 2012.08133, arXiv.org, revised Aug 2022.
    14. Paresh Kumar Narayan & Russell Smyth, 2006. "Dead man walking: an empirical reassessment of the deterrent effect of capital punishment using the bounds testing approach to cointegration," Applied Economics, Taylor & Francis Journals, vol. 38(17), pages 1975-1989.
    15. Corman, Hope & Dave, Dhaval M. & Reichman, Nancy E., 2014. "Effects of welfare reform on women's crime," International Review of Law and Economics, Elsevier, vol. 40(C), pages 1-14.
    16. Syed Hassan Raza & Syed Muddassir Abbas Naqvi, 2016. "Impact of Tax Evasion on Total Tax in Pakistan," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 6(11), pages 730-739, November.
    17. Dongxu Wu & Zhongmin Wu, 2012. "Crime, inequality and unemployment in England and Wales," Applied Economics, Taylor & Francis Journals, vol. 44(29), pages 3765-3775, October.
    18. Siti Nur Zahara HAMZAH & Evan LAU, 2013. "The role of social factors in explaining crime," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(6(583)), pages 99-118, June.
    19. Qadri, Faisal Sultan & Kadri, Adeel Sultan, 2010. "Relationship between education, health and crime: fable, fallacy or fact," MPRA Paper 30638, University Library of Munich, Germany.
    20. Lastauskas, Povilas & Tatsi, Eirini, 2017. "Spatial Nexus in Crime and Unemployment in Times of Crisis," Working Paper Series 2/2017, Stockholm University, Swedish Institute for Social Research.

    More about this item

    Keywords

    crime; misery index; demographics time series; Nigeria;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • I2 - Health, Education, and Welfare - - Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • N3 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pet:annals:v:17:y:2017:i:1:p:101-114. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Imola Driga (email available below). General contact details of provider: http://www.upet.ro/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.