The Effects of Terrorist Activities on Foreign Direct Investment: Nonlinear Evidence from Turkey

Saved in:
Bibliographic Details
Published in:Review of economics
Main Author: Omay, Tolga (Author)
Other Authors: Araz-Takay, Bahar, Eruygur, Ayşegül, Kiliç, Ilker
Format: Article
Published: 2013
Subjects:
FDI
Online Access:https://doi.org/10.1515/roe-2013-0203
LEADER 01000naa a22002652 4500
001 OLC2137774372
003 DE-627
005 20230810083637.0
007 tu
008 230810s2013 xx ||||| 00| ||und c
024 7 |a 10.1515/roe-2013-0203  |2 doi 
035 |a (DE-627)OLC2137774372 
035 |a (DE-B1597)roe-2013-0203-p 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
082 0 4 |a 300  |a 330  |q VZ 
084 |a 3,4  |a 20,1  |2 ssgn 
084 |a 70.00  |2 bkl 
100 1 |a Omay, Tolga  |e verfasserin  |4 aut 
245 1 0 |a The Effects of Terrorist Activities on Foreign Direct Investment: Nonlinear Evidence from Turkey 
264 1 |c 2013 
336 |a Text  |b txt  |2 rdacontent 
337 |a ohne Hilfsmittel zu benutzen  |b n  |2 rdamedia 
338 |a Band  |b nc  |2 rdacarrier 
500 |a © 2013 by Lucius & Lucius, Stuttgart 
520 |a Abstract In this study, we examine the relationship between foreign direct investment (FDI) and terrorist incidents that took place in Turkey during the period 1991:12 to 2003:12. By doing so we contribute to the literature by allowing for a possible nonlinear relationship between terrorism and FDI. The data used to measure the intensity of terrorism were collected from a major newspaper of Turkey, and therefore is limited to the direct signals given to the market. Empirical evidence from both linear and non-linear models confirms that terrorism has a large negative impact on foreign direct investment. As far as the results of the nonlinear model estimation are concerned, the impact of terrorism on FDI is estimated to be more severe during periods of high terrorism where the intensity of terrorism passes a certain threshold level. This threshold level can be interpreted as a warning ‘signal’ that FDI may decrease severely and thereby can be used by policy makers to design effective policy measures and by potential investors as an indicator of a country’s risk profile 
650 4 |a Terror 
650 4 |a FDI 
650 4 |a Smooth Transition Regression 
700 1 |a Araz-Takay, Bahar  |4 aut 
700 1 |a Eruygur, Ayşegül  |4 aut 
700 1 |a Kiliç, Ilker  |4 aut 
773 0 8 |i Enthalten in  |t Review of economics  |d Lucius & Lucius, 1995  |g 64(2013), 2 vom: 01. Aug., Seite 139-158  |w (DE-627)186843720  |w (DE-600)1240559-0  |w (DE-576)048520373  |x 0948-5139  |7 nnns 
773 1 8 |g volume:64  |g year:2013  |g number:2  |g day:01  |g month:08  |g pages:139-158 
856 4 1 |u https://doi.org/10.1515/roe-2013-0203  |z lizenzpflichtig  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_OLC 
912 |a SSG-OLC-SOW 
912 |a SSG-OLC-WIW 
912 |a GBV_ILN_11 
912 |a GBV_ILN_20 
912 |a GBV_ILN_21 
912 |a GBV_ILN_26 
912 |a GBV_ILN_31 
912 |a GBV_ILN_32 
912 |a GBV_ILN_40 
912 |a GBV_ILN_60 
912 |a GBV_ILN_62 
912 |a GBV_ILN_65 
912 |a GBV_ILN_70 
912 |a GBV_ILN_72 
912 |a GBV_ILN_121 
912 |a GBV_ILN_130 
912 |a GBV_ILN_140 
912 |a GBV_ILN_152 
912 |a GBV_ILN_267 
912 |a GBV_ILN_285 
912 |a GBV_ILN_640 
912 |a GBV_ILN_707 
912 |a GBV_ILN_2006 
912 |a GBV_ILN_2007 
912 |a GBV_ILN_2008 
912 |a GBV_ILN_2009 
912 |a GBV_ILN_2012 
912 |a GBV_ILN_2021 
912 |a GBV_ILN_2023 
912 |a GBV_ILN_2026 
912 |a GBV_ILN_2035 
912 |a GBV_ILN_2179 
912 |a GBV_ILN_2206 
912 |a GBV_ILN_4012 
912 |a GBV_ILN_4036 
912 |a GBV_ILN_4116 
912 |a GBV_ILN_4125 
912 |a GBV_ILN_4126 
912 |a GBV_ILN_4238 
912 |a GBV_ILN_4246 
912 |a GBV_ILN_4266 
912 |a GBV_ILN_4277 
912 |a GBV_ILN_4302 
912 |a GBV_ILN_4305 
912 |a GBV_ILN_4306 
912 |a GBV_ILN_4314 
912 |a GBV_ILN_4315 
912 |a GBV_ILN_4316 
912 |a GBV_ILN_4317 
912 |a GBV_ILN_4318 
912 |a GBV_ILN_4320 
912 |a GBV_ILN_4321 
912 |a GBV_ILN_4322 
912 |a GBV_ILN_4323 
912 |a GBV_ILN_4324 
912 |a GBV_ILN_4346 
912 |a GBV_ILN_4700 
936 b k |a 70.00  |q VZ 
951 |a AR 
952 |d 64  |j 2013  |e 2  |b 01  |c 08  |h 139-158