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Pengaruh Kualitas Institusi terhadap Stok FDI di ASEAN Menggunakan Metode GMM dan Panel ARDL
The focus of this study is the relationship between institutional quality and inward FDI stocks in ASEAN using two types of analysis, namely short-term and long-term analysis. The GMM System method with 2012-2019 data is used for short-term analysis, while the ARDL Panel method with 1996-2019 data is used for long-term analysis. The literature contribution offered from this study is the application of long-term analysis between the variables studied, considering that previous studies only included short-term analysis. In addition, in this study the FDI data used is FDI in the form of stocks, so that it more accurately describes the actual conditions. There are two models used in this study. The first model uses the variable quality of institutions which is the average of three institutional indicators, namely government effectiveness, political stability, and corruption control. Whereas in the second model, the quality of institutions is divided into three separate variables, namely government effectiveness, political stability, and corruption control. The results show that in the short term, the overall quality of institutions has been shown to significantly influence FDI stocks in ASEAN. Meanwhile, based on the second model which divides the quality of institutions into three indicators, only government effectiveness indicators significantly affect FDI. The level of corruption control and political stability did not significantly affect FDI. In the long term, the quality of institutions will no longer significantly affect FDI..Ada Tabel
Call Number | Location | Available |
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13567 | PSB lt.2 - Karya Akhir | 1 |
Penerbit | Depok Program Studi Ilmu Ekonomi Fakultas Ekonomi dan Bisnis UI., 2022 |
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Edisi | - |
Subjek | ASEAN Institutional quality FDI |
ISBN/ISSN | - |
Klasifikasi | - |
Deskripsi Fisik | ix, 44 p. ; diagr. ; 30 cm |
Info Detail Spesifik | - |
Other Version/Related | Tidak tersedia versi lain |
Lampiran Berkas | Tidak Ada Data |