| Title: |
Determinants of foreign direct investments: comparative analysis for Brazil, China, South Korea and Turkey |
| Authors: |
Kılıç, Fatih; Teker, Dilek |
| Publisher Information: |
PressAcademia |
| Publication Year: |
2021 |
| Collection: |
Işık Üniversitesi: DSpace Repository |
| Subject Terms: |
Foreign direct ınvestment; Inflation; Unemployement; Industrial production index; VAR; Impulse response |
| Description: |
Purpose- With the globalization race gaining momentum after 1980, investments in developing countries increased significantly with the removal of obstacles to capital flows. With the effect of the globalization phenomenon in the world economy, developing countries have sought to meet the capitals they need with foreign investments. Until the 1980s, foreign direct investments were subject to serious restrictions. The priority of foreign direct investment was South Korea and Brazil in the early days. These two countries were followed by many emergency countries with development potential, and Turkey was trying to be included in this group. In the early 2000s, the biggest factor behind China's huge growth was the directing of foreign investments to China. In this study, inflation rate, unemployment rate and the index of industrial production, foreign direct investment coming to Brasil, China, South Korea and Turkey are examined on whether this is effective. Methodology- The data used in statistical tests are foreign direct investments, inflation, unemployment and the industrial production index, which has the largest share in GDP and allows interpretation without GDP being announced. All monthly data used in the tests are gathered from the Reuters, Bloomberg, UCTAD and the World Bank that covers periods from January 2012 to December 2020. Initially, unit root tests were performed to determine whether the data was stable.There are 3 basic critical points to understand whether unit root tests are stationary or not. After that, the VAR model has been applied. But before that coordinates all selected variables together and examines the integrity of the system, it is required to determine the appropriate lag length in order to make assumptions correct. The are five most common methods for determining lag lengths. In order to understand whether there is a long-term relationship between variables or not that are determined to be stationary, Johansen Cointegration test has been applied. Trace Statistics and the ... |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/pdf |
| Language: |
English |
| Relation: |
PressAcademia Procedia; Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11729/5293; http://dx.doi.org/10.17261/Pressacademia.2021.1436; 13; 105; 106 |
| DOI: |
10.17261/Pressacademia.2021.1436 |
| Availability: |
https://hdl.handle.net/11729/5293; https://doi.org/10.17261/Pressacademia.2021.1436 |
| Rights: |
info:eu-repo/semantics/openAccess |
| Accession Number: |
edsbas.4444F86D |
| Database: |
BASE |