BRICS ÜLKELERİ İLE TÜRKİYE’DE TERÖRİZMİN EKONOMİK BELİRLEYİCİLERİ: BİR PANEL NEDENSELLİK ANALİZİ

Terörizm kaynaklı ölüm ve yaralı sayısı son yıllarda önemli miktardaartmıştır. Ayrıca terörizm beşeri, fiziksel sermaye ve altyapıya zarar vererekekonomik büyüme ile kalkınmayı da yavaşlatabilmektedir. Terörizmin sözkonusu olumsuz etkileri, araştırmacıları terörizmin belirleyicilerini araştırmayayönlendirmiştir. Terörizmin belirleyicilerinin tespit edilmesi, terörizm ilemücadelede ulusal ve uluslararası düzeyde doğru önlemlerin alınması açısındanönem taşımaktadır. Çalışmada nedensellik analizi kullanılarak küresel ekonomininönemli bir parçası olan BRICS (Brazil, Russia, India, China, South Africa (Brezilya,Rusya, Hindistan, Çin, Güney Afrika)) ülkeleri ile Türkiye’de 2002-2017 dönemindeterörizm ile başlıca makroekonomik değişkenler arasındaki ilişki araştırılmıştır.Çalışma sonucunda ekonomik büyüme, işsizlik ile genç işsizlikten terörizme doğru,terörizmden de askeri harcamalar ile siyasi istikrara doğru tek yönlü nedensellikolduğu belirlenmiştir.

ECONOMIC DETERMINANTS OF TERRORIZM IN BRICS COUNTRIES AND TURKEY: A PANEL CAUSALITY ANALYSIS

The number of death and casualty resulting from the terrorism has increased considerably in the recent years. Furthermore, terrorism can slow down the economic growth and economic development through damaging the human capital, physical capital and infrastructure. The aforementioned negative effects of the terrorism have led the scholars to research the determinants of the terrorism. The specification of terrorism determinants is important for taking the right measures at national and international level in the fight against terrorism. The study investigated the relationship between terrorism and major macroeconomic variables in BRICS (Brazil, Russia, India, China, South Africa) countries and Turkey, a significant part of the global economy, during the 2002-2017 period through causality analysis. We revealed that one-way causality from economic growth, unemployment, and youth unemployment to the terrorism, and a one-way causality from terrorism to military expenditures and political stability.

___

  • Abdelaziz, T. (2004). Determinants of terrorism in the Muslim world: An empirical cross-sectional analysis. Terrorim and Political Violence 16(2), 253-273. DOI: 10.1080/09546550490482504.
  • Akhmat, G., Zaman, K., Shukui, T., Sajjad, F. (2014). Exploring the root causes of terrorism in South Asia: Everybody should be concerned. Quality & Quantity 48(6), 3065–3079. DOI: 10.1007/s11135-013-9941-2.
  • Asongu, S.A., Biekpe, N. (2018). Globalization and terror in Africa. International Economics 156, 86-97. DOI: 10.1016/j.inteco.2017.12.005.
  • Baltagi, B. H., Feng, Q., Kao, C. (2012). A Lagrange multiplier test for cross-sectional dependence in a fixed effects panel data model. Journal of Econometrics, 170,164- 177. DOI: 10.1016/j.jeconom.2012.04.004.
  • Breusch, T. S., Pagan, A.R. (1980). The lagrange multiplier test and its applications to model specification tests in econometrics. Review of Economic Studies 47(1), 239–53. DOI: 10.2307/2297111.
  • Caruso, R., Schneider, F. (2011). The socio-economic determinants of terrorism and political violence in Western Europe (1994–2007). European Journal of Political Economy 27, S37–S49. DOI: 10.1016/j.ejpoleco.2011.02.003.
  • Catalano, R., McConnell, W., Novaco, R. (1997). A model of the net effect of job loss on violence. Journal of Personality and Social Psychology 72, 1440–1447. DOI: 10.1037/0022-3514.72.6.1440.
  • Dumitrescu, E. I., Hurlin, C., (2012). Testing for Granger noncausality in heterogeneous panels. Economic Modelling 29(4), 1450-1460. DOI: 10.1016/j. econmod.2012.02.014.
  • Dünya Bankası (2019a). GDP (constant 2010 US$), https://data.worldbank.org/ indicator/NY.GDP.MKTP.KD (erişim tarihi 14 Mart 2019).
  • Dünya Bankası (2019b). GDP per capita growth (annual %), https://data. worldbank.org/indicator/NY.GDP.PCAP.KD?locations=IN (erişim tarihi 14 Mart 2019).
  • Dünya Bankası (2019c). Unemployment, total (% of total labor force) (modeled ILO estimate), https://data.worldbank.org/indicator/sl.uem.totl.zs (erişim tarihi 14 Mart 2019).
  • Dünya Bankası (2019ç). Unemployment, youth total (% of total labor force ages 15- 24) (modeled ILO estimate), https://data.worldbank.org/indicator/SL.UEM.1524. ZS (erişim tarihi 14 Mart 2019).
  • Dünya Bankası (2019d). Trade (% of GDP), https://data.worldbank.org/indicator/ NE.TRD.GNFS.ZS (erişim tarihi 14 Mart 2019).
  • Dünya Bankası (2019e). Military expenditure (% of GDP), https://data.worldbank. org/indicator/ms.mil.xpnd.gd.zs (erişim tarihi 14 Mart 2019).
  • Dünya Bankası (2019f). Worldwide Governance Indicators, http://info.worldbank. org/governance/wgi/#home (erişim tarihi 14 Mart 2019).
  • Estrada, M.A.R., Park, D., Kim, J.S., Khan, A. (2015). The economic impact of terrorism: A new model and its application to Pakistan. Journal of Policy Modeling 37,1065–1080. DOI: 10.1016/j.jpolmod.2015.08.004.
  • Freytag, A., Krüger, J. J., Meierrieks, D., Schneider, F. (2011. The origins of terrorism: Cross- country estimates of socio-economic determinants of terrorism. European Journal of Political Economy 27, S5–S16. DOI: 10.1016/j.ejpoleco.2011.06.009.
  • Global Terrorism Database (2019). https://www.start.umd.edu/gtd/search/ Results.aspx?expanded=yes&casualties_type=&casualties_max=&success=yes& country=209&ob=GTDID&od=desc&page=20&count=100#results-table (erişim tarihi 14 Mart 2019).
  • Granger, C. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37(3), 424-438. DOI: 10.2307/1912791.
  • GTI (2019). Global Terrorism Index 2018: Measuring the Impact of Terrorism, http://economicsandpeace.org/wp-content/uploads/2016/11/Global-Terrorism- Index-2016.2.pdf (erişim tarihi 14 Mart 2019).
  • IMF (2019). World Economic Outlook Database, https://www.imf.org/external/ pubs/ft/weo/2018/02/weodata/index.aspx (erişim tarihi 14 Mart 2019).
  • Ismail, A., Amjad, S. (2014). Determinants of terrorism in Pakistan: An empirical investigation. Economic Modelling 37, 320–331. DOI: 10.1016/j. econmod.2013.11.012.
  • Kaufmann, D., Kraay, A., Mastruzzi, M. (2010). The Worldwide Governance Indicators: A Summary of Methodology, Data and Analytical Issues, World Bank Policy Research Working Paper No. 5430, http://papers.ssrn.com/sol3/papers. cfm?abstract_id=1682130 (erişim tarihi 10 Mart 2019).
  • Krieger, T., Meierrieks, D. (2011). What causes terrorism. Public Choice 147, 3-27 DOI 10.1007/sl1127-010-96011.
  • Maddala, G. ve Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin Of Economics and Statistics 61(S1), 631-652. DOI: 10.1111/1468-0084.0610s1631.
  • Malik, Z., Zaman, K. (2013). Macroeconomic consequences of terrorism in Pakistan. Journal of Policy Modeling 35, 1103–1123. DOI: 10.1016/j.jpolmod.2013.08.002.
  • Mannik, E. (2009). Terrorism: Its past, present and future prospects. Saumet, A. (Der.) Religion and Politics in Multicultural Europe: Perspectives and Challenges: İçinde 151-171. Tartu: Tartu University Press.
  • Nurunnabi, M.,Sghaier, A. (2018). Socioeconomic determinants of terrorism. Digest of Middle East Studies 27(2), 278–302. DOI:10.1111/dome.12139.
  • Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. University of Cambridge, Working Paper, CWPE 0435.
  • Pesaran, M. H., (2006). Estimation and inference in large heterogeneous panels with a multifactor error structure, Econometrica 74(4), 967-1012. DOI: 10.1111/j.1468-0262.2006.00692.x
  • Pesaran, M.H., Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics 142, 50-93. DOI: 10.1016/j.jeconom.2007.05.010.
  • Shahbaz, M., Shabbir, M.S., Malik, M.N., Wolters, M.E. (2013). An analysis of a causal relationship between economic growth and terrorism in Pakistan. Economic Modelling 35, 21–29.
  • Shahbaz, M. (2013). Linkages between inflation, economic growth and terrorism in Pakistan. Economic Modelling, 32, 496–506.
  • Şimsek, M. (2016). Terörizm: Kavramsal bir çalışma. Akademik Bakış Dergisi, Sayı:54, 319-335.
  • Tahir, M. (2018). Terrorism and its determinants: Panel data evidence from 94 countries, Applied Research in Quality of Life. DOI: 10.1007/s11482-018-9660-x.
  • United Nations Human Rights (2007). Human Rights, Terrorism and Counterterrorism Fact Sheet No. 32, https://www.ohchr.org/Documents/Publications/ Factsheet32EN.pdf (erişim tarihi 12 Mart 2019).
  • Vision of Humanity (2019). Global Terrorism Index, http://visionofhumanity.org/ indexes/terrorism-index/ (erişim tarihi 26 Şubat 2019).
  • Wilson, D., Purushothaman, R. (2003). Dreaming with BRICs: The path to 2050, Goldman Sachs Global Economics Paper No: 99, https://www.goldmansachs. com/insights/archive/archive-pdfs/brics-dream.pdf (erişim tarihi 10 Mart 2019).
  • Yildirim, J., Öcal, M. (2013). Analyzing the determinants of terrorism in Turkey using geographically weighted regression. Defence and Peace Economics, 24(3), 195–209. DOI: 10.1080/10242694.2012.695034.