ANALYSING THE DETERMINANTS OF TERRORISM IN TURKEY USING GEOGRAPHICALLY WEIGHTED REGRESSION

Yıldırım Öcal J., Ocal N.

DEFENCE AND PEACE ECONOMICS, vol.24, no.3, pp.195-209, 2013 (SSCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 24 Issue: 3
  • Publication Date: 2013
  • Doi Number: 10.1080/10242694.2012.695034
  • Journal Name: DEFENCE AND PEACE ECONOMICS
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus
  • Page Numbers: pp.195-209
  • Keywords: Terrorism, Geographically weighted regression, Turkey, TRANSNATIONAL TERRORISM, SPATIAL NONSTATIONARITY, POVERTY, EDUCATION, INVESTMENT, DEMOCRACY, POLICIES, TOURISM, FREEDOM, PROMOTE
  • TED University Affiliated: Yes

Abstract

This paper investigates the determinants of provincial terrorism in Turkey taking spatial dimension into account for the time period 1990-2006. Following a traditional global regression analysis, spatial variations in the relationships are examined with geographically weighted regression (GWR) to obtain locally different parameter estimates. Empirical results indicate that increases in income and schooling ratio tend to reduce the provincial average level of terrorism, whereas an increase in unemployment enhances it. Moreover, GWR results indicate that the provincial effects of per capita income and education are more pronounced for the Eastern and South Eastern provinces compared to the Western provinces.