•  
  •  
 

Abstract

This study aims to identify the existence of spatial dependence of property crime at sub-district level in the case of Jakarta, Tangerang, Depok, and Bekasi (Jadetabek), the major metropolitan area in Indonesia over 2010 period. Empirical results by using spatial autoregressive suggest the existence of positive spatial autocorrelation of property crime in Jadetabek. We also find the determinants of property crime is related to per capita household expenditure, number of youth unemployment, number of young population, number of drags abuse case, and percentage of case solved.

Bahasa Abstract

Studi ini bertujuan mengidentifikasi adanya dependensi spasial dari kejahatan harta benda pada tingkat kecamatan di wilayah Jakarta, Depok, Tangerang, dan Bekasi (Jadetabek), sebagai wilayah utama metropolitan di Indonesia, selama periode 2010. Hasil empiris dengan menggunakan spatial autoregressive menunjukkan adanya otokorelasi spasial positif untuk kejahatan harta benda di Jadetabek. Kami juga menemukan bahwa determinan dari kejahatan harta benda di antaranya pengeluaran per kapita, jumlah pengangguran muda, jumlah penduduk usia muda, jumlah kasus penyalahgunaan narkotika, dan persentase kasus yang terselesaikan.

References

[1] Anselin, L. (1988). Spatial Econometrics: Method and Models. Dodrecht, Netherlands: Kluwer Academic Publishers.

[2] Anselin, L. (2005). Exploring Spatial Data with Geoda: A Workbook Spatial Analysis Laboratory and Center for Spatially Integrated Social Science (CSISS). Department of Geography, University of Illinois, Urbana-Champaign.

[3] Anselin, L., & Bera, A. K. (1998). Spatial Dependence in Linear Regression Models with an Introduction to Spatial Econometrics. In A. Ullah & D. Giles (Eds.), Handbook of Applied Economic Statistics (pp. 237-289). New York: Marcel Dekker.

[4] Anselin, L., Cohen, J., Cook, D., Gorr, W., & Tita, G. (2000). Spatial analyses of crime. Criminal justice, 4 (2), 213-262.

[5] Becker, G. S. (1968). Crime and Punsihment: An Economic Approach. Journal of Political Economy, 76 (2), 169-217.

[6] Becsi, Z. (1999). Economics and Crime in the States. Economic Review - Federal Reserve Bank of Atlanta, 84 (1), 38-56.

[7] Boyum, D., & Kleiman, M. A. (1995). Alcohol and Other Drugs. In J. Q. Wilson, & J. Peterselia (Eds.), Crime and Public Policy (pp. 295-326). San Fransisco: Intitute for Contemporary Studies.

[8] BPS. (2010). Statistik Kriminal 2007{2009. Jakarta: Badan Pusat Statistik.

[9] BPS. (2011). Survei Sosial Ekonomi Nasional (SUSENAS) 2010. Jakarta: Badan Pusat Statistik.

[10] BPS. (2012). Statistik Kriminal 2011. Jakarta: Badan Pusat Statistik.

[11] Brueckner, J. K. (2011). Lectures on Urban Economics. Cambridge: The MIT Press.

[12] Cracolici, M. F., & Uberti, T. E. (2008). Geographical Distribution of Crime in Italian Provinces : A Spatial Econometric Analysis (FEEM Working Paper No. 11.2008). Nota Di Lavoro. Italy: Fondazione Eni Enricco Mattei.

[13] Ehrlich, I. (1973). Participation in illegitimate activities: A theoretical and empirical investigation. Journal of Political Economy, 81 (3), 521-565.

[14] Ehrlich, I. (1996). Crime, punishment, and the market for offenses. The Journal of Economic Perspectives, 10 (1), 43-67.

[15] Elhorst, J. P. (2009). Spatial panel data models. In M. M. Fischer (Ed.), Handbook of applied spatial analysis C.2 (pp. 377-407). New York: Springer.

[16] Entorf, H., & Spengler, H. (2000). Socioeconomic and demographic factors of crime in Germany: Evidence from panel data of the German states. International review of law and economics, 20 (1), 75- 106.

[17] Glaeser, E. L., & Sacerdote, B. (1996). Why is there more crime in cities? (No. w5430). National Bureau of Economic Research (NBER) Working Paper.

[18] Graycar, A. (1997). Social and Economic Consequences of Violent Crime and Property Crime. Second National Outlook Symposium of Crime in Australia. March. http://www.aic.gov.au/media_library/ conferences/outlook97/graycar.pdf (Diakses 23 Agustus 2015).

[19] Hardianto, F. N. (2009). Analisis Faktor-Faktor yang Mempengaruhi Tingkat Kriminalitas di Indonesia dari Pendekatan Ekonomi. Bina Ekonomi, 13 (2), 28-41.

[20] Hodgkinson, S., & Tilley, N. (2007). Travel-to- crime: homing in on the victim. International Review of Victimology, 14 (3), 28-{298. [

21] Husnayain, I. (2007). Analisis Ekonomi Kejahatan Properti di Indonesia Tahun 2005. Skripsi. Depok: Fakultas Ekonomi Universitas Indonesia.

[22] Kelly, M. (2000). Inequality and Crime. Review of Economics and Statistics, 82 (4), 530{539.

[23] Levitt, S. D. (2004). Understanding why crime fell in the 1990s: Four factors that explain the decline and six that do not. The Journal of Economic Perspectives, 18 (1), 163-190.

[24] O'Sullivan, A. (2007). Urban Economics, 6th edition. New York: McGraw-Hill.

[25] Phillips, L., Votey, H. L., & Maxwell, D. (1972). Crime, youth, and the labor market. Journal of Political Economy, 80 (3), 491-504.

[26] Statistics, A. B. (2001). Measuring wellbeing: Frameworks for Australian social statistics. Canberra: Australian Bureau Statistics.

[27] White, R. C. (1932). The Relation of Felonies to Environmental Factors in Indianapolis. Social Forces, 10 (4), 498{509.

[28] Wilson, J. Q. (1975). Thinking about Crime. New York: Basic Books.

[29] Yearwood, D. L., & Koinis, G. (2011). Revisiting property crime and economic conditions: An exploratory study to identify predictive indicators beyond unemployment rates. The Social Science Jo- urnal, 48 (1), 145-158.

Included in

Economics Commons

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.