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TOURISM FOREIGN DIRECT INVESTMENT LED TOTAL FOREIGN DIRECT INVESTMENT: A CO-INTEGRATION AND CAUSALITY ANALYSIS OF CROATIAN ECONOMY

M. N. Radic

First published: 2014https://doi.org/10.5593/sgemsocial2014/b24/s7.109View metrics

Abstract

The purpose of this study is to investigate the causal relationship between foreign direct investment in tourism and total foreign direct investment in Croatia. The study employs econometric techniques such as unit root test, Johansen co-integration and Granger and Toda-Yamamoto causality tests in vector autoregressive model (VAR) using quarterly time series data from 2000 to 2012. The results do not confirm the existence of a stable co-integrated relationship between variables in the long run. The Granger causality test and the Toda-Yamamoto version of the Granger causality test show a one-way short run causality relationship from foreign direct investment in tourism to total foreign direct investment in Croatia at the 5% level of significance. This result once again adds to the need for removing or at least neutralizing the significant existing investment restrictions in Croatia in order to become interesting to international foreign capital and thereby ensure the necessary continuity of development and further improvement of competitive ability. Special attention should be focused on attracting foreign direct investment in tourism because these investments may increase the overall level of investment in the Croatian ec

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Publication details

Title
TOURISM FOREIGN DIRECT INVESTMENT LED TOTAL FOREIGN DIRECT INVESTMENT: A CO-INTEGRATION AND CAUSALITY ANALYSIS OF CROATIAN ECONOMY
Authors
M. N. Radic
Proceedings
International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM2014, Book 2
Publisher
STEF92 Technology
Year
2014
Pages
Not available yet
SWS Citekey
Radic2014
ISSN
2367-5659
ISBN
978-619-7105-28-5
Language
en
Publication type
Conference Paper
Proceedings contents
Open official contents
Keywords
References14
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  14. Cf.http://www.researchgate.net/post/When_dealing_with_time_series_annual_or_q uarterly_data_What_logical_steps_should_be_followed_when_trying_to_find_out_so me_long_run_and_short_run_relationships_among_your_variables (Accessed November 15, 2013)

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