Main Article Content
Studies conducted in the past have suggested that economic and social conditions are factors that may or may not contribute to crimes. Crime rates across Thai provinces which are reported by the authorities indicate that a large proportion of crime is property crime. Hence, this study aimed to investigate the interaction effect between social and economic conditions on property crime rates in Thailand. This quantitative research utilized existing statistics and assigned each province to be a unit of analysis. The data analysis was performed by the PLS-SEM technique using SmartPLS 2.0. The results of the study show that economic conditions have a major impact on crime rates with a path coefficient value of .491, a T-statistic value of 3.904, and a level of significance of p < .01. The result of the study rejects the hypothesis that the interaction effect between social and economic conditions has a significant impact on property crime rates. The outcome of this research will be beneficial to government agencies responsible for supporting and promoting employment and appropriate income per capita. Furthermore, it will benefit public and private agencies as well as communities in crime prevention which requires extra vigilance in poor economic conditions.
All rights reserved. Apart from citations for the purposes of research, private study, or criticism and review,no part of this publication may be reproduced, stored or transmitted in any other form without prior written permission by the publisher.
Becker, G. S. (1968) Crime and punishment: An economic approach. Journal of Political Economy 76: 169-217.
Boivin, R. (2013) On the use of crime rates. Canadian Journal of Criminology and Criminal Justice 55(2): 263-277.
Buonanno, P. and Montolio, D. (2008) Identifying the socio-economic and demographic determinants of crime across Spanish provinces. International Review of Law and Economics 28(1): 89-97.
Carrabine, E., Cox, P., Lee, M. and South, N. (2009) Criminology: A sociological introduction (2nd ed.). New York: NY. Routledge.
Department of Provincial Administration, Ministry of Interior. (2015) Population from registration record 2006 - 2015. [Online URL: https://service.nso.go.th/nso/web/statseries/statseries01.html] accessed on June 15, 2016.
Engelena, P., Lander, M. W. and van Essenc, M. (2016) What determines crime rates? An empirical test of integrated economic and sociological theories of criminal behavior. The Social Science Journal 53(2): 247-
Frank, H. E. (2011) Introduction to criminology: Theories, methods, and criminal behavior (7th ed.). California: CA. SAGE.
Hair, J. F., Hult, G. T. M., Ringle, C. M. and Sarstedt, M. (2014) A Primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks: Sage.
Hooghe, M., Vanhoutte, B., Hardyns, W. and Bircan, T. (2011) Unemployment, inequality, poverty and crime: Spatial distribution patterns of criminal acts in Belgium, 2001-06. The British Journal of Criminology 51(1): 1-20.
Khan, N., Ahmed, J., Nawaz, M. and Zaman, K. (2015) The socio-economic determinants of crime in Pakistan: new evidence on an old debate. Arab Economics and Business Journal 10: 73-81.
Kruesang, P. and Huan-arom, R. (2016) Development of Thailand Criminal Investigation. Local Administration Journal 9(1): 133-143.
Mahakita, C. (2015) Criminal statistic analysis and report in Thai society. Suan Dusit Graduate School Academic Journal 11(2): 231-241.
Meenakanit, T. (2012) The criminal code for reference (29th ed.). Bangkok: Winyuchon.
National Statistical Office, Ministry of Information and Communication Technology. (2015) The criminal case in Thailand. [Online URL: https://service.nso.go.th/nso/web/statseries/statseries13.html] accessed on June 16, 2016.
Nivette, A. E. (2011) Cross-national predictors of crime: A meta-analysis. Homicide Studies 15(2): 103–131.
Office of the National Economic and Social Development Board, Thailand. (2015) The direction of the National Economic and Social Development Plan No.12 (B.E.2560-2564). [Online URL: https://www.nesdb.go.th/article_attach/Book_Plan12.pdf] accessed on June 16, 2016.
Pridemore, W. A. (2011) Poverty matters: A reassessment of the inequality homicide relationship in cross-national studies. British Journal of Criminology 51: 739-772.
Punyasavatsut, A. (2013) Socio-economic Determinants of Crime. Proceedings of 51st Kasetsart University Annual Conference: Education, Economics and Business Administratio Humanities and Social Sciences (pp.337-345). [Online URL: https://kucon.lib.ku.ac.th/cgibin/KUCON.exe?rec_id=013396&database=KUCON&search_type=link&table=mona&back_path=/KUCON/mona&lang=thai&format_name=TFMON#] accessed on June 20, 2015.
Ringle, C. M., Wende, S. and Will, S. (2005) SmartPLS 2.0 (M3) beta. [Online URL: https://www.smartpls.de] accessed on July 19,2015.
Rosenfeld, R. and Fornango, R. (2007) The impact of economic conditions on robbery and property crime: The role of consumer sentiment. Criminology 45(4): 735-769.
Royal Thai Police, Central Information Technology Center. (2015) Statistics of five criminal groups. [Online URL: https://pitc.police.go.th/dirlist/dirlist.php?dir=/crimes] accessed on July 20, 2016.
Siegel, L. J. (2012) Criminology (11th ed.). Belmont: Wadsworth.
Suan Dusit Poll. (2016) The crime in Thailand. [Online URL: https://suandusitpoll.dusit.ac.th/UPLOAD_FILES/POLL/2559/PS-2559-1462670029.pdf] accessed on July 30, 2016.
Vinzi, V. E., Chin, W. W., Henseler, J. and Wang, H. (eds.). (2010) Handbook of partial least squares: Concepts, methods and applications. Heidelberg: Springer.
Weisburd, D., Bernasco, W. and Bruinsma, G. (2009) Putting crime in its place: Unit of analysis in geographic criminology. New York: Springer Science+Business Media, LLC.
Yearwood, D. and Koinis, G. (2011) Revisiting property crime and economic conditions: An exploratory study to identify predictive indicators beyond unemployment rates. The Social Science Journal 48(1): 145-