Hasil Pencarian  ::  Simpan CSV :: Kembali

"Utang luar negeri merupakan salah satu sumber pembiayaan bagi pembangunan negara Indonesia. Dengan bantuan dana dari luar negeri diharapkan Indonesia dapat meningkatkan pendapatan domestik bruto nasional. Penelitian ini bertujuan untuk menganalisa korelasi tersebut. Dengan mengambil salah satu sektor industri di Indonesia, penelitian ini mencoba menganalisa keterkaitannya dan juga mencoba meneliti kemampuan membayar kembali utang tersebut melalui nilai ekspor sektor tersebut. Penulis menggunakan pendekatan persamaan simultan untuk mendapatkan model penyelesaian yang unik dan dapat menjadi saran dalam pengambilan kebijakan terkait utan luar negeri Indonesia.

---

Foreign debt is one of the sources of financing for the development of the Indonesian industry. With the help of funds from foreign countries, Indonesia is expected to increase the national gross domestic product. This study aimed to prove the hypothesis and correlation between debt and development of gross domestic product. By taking one of the industrial sector in Indonesia, this study tries to analyze the correlation and also examine the ability to pay back the debt through export value of that sector. The author uses a simultaneous equation approach to obtain a unique solution model and can be related to policy-making suggestions in Indonesia's foreign debt"

"Penelitian ini berusaha mengetahui adanya hubungan timbal balik antara pengeluaran pemerintah dan produk domestik bruto di Indonesia periode 1970-2003. Metode yang dipakai adalah Granger Causality dan Vector Autoregression (VAR) dengan memperlakukan kedua variabel sebagai variabel endogen. Hasil penelitian menyebutkan terdapat hubungan kausalitas antara perubahan (peningkatan atau penurunan) total pengeluaran pemerintah dengan perubahan (peningkatan atau penurunan) produk domestik bruto. Perubahan pengeluaran rutin tidak signifikan mempengaruhi perubahan produk domestik bruto karena lebih bersifat konsumtif dan tidak produktif serta sebagian besar bersifat kontraktif seperti belanja untuk pembayaran bunga utang. Sementara perubahan pengeluaran pembangunan memiliki hubungan kausalitas positif dan signifikan terhadap perubahan produk domestik bruto. Hal ini dapat dijelaskan oleh pengaruh positif pengeluaran sektor pertanian, infrastruktur dan transportasi serta pendidikan terhadap produk domestik bruto dan pengaruh positif perubahan produk domestik bruto terhadap perubahan pengeluaran pemerintah di sektor infrastruktur dan transportasi"

"[This study investigates the determinants of foreign direct investment inflows in developing and developed countries by panel data analysis. This study utilizes data of 27 developed countries and 43 developing countries for the period of 1998 to 2011. The dependent variable is FDI inflows per capita. The main explanatory variable is the statutory corporate income tax rate. In addition, this study employs GDP per capita as the proxy of market size, degree of openness, real minimum wage as the proxy of labor cost, population, and energy production as the proxy of natural resources. Based on the random effect model, the result shows that tax as main explanatory variable, has negative sign as expected. However, it is not significant even at the level of ten percent. Furthermore, the population, real minimum wage, and energy production variables are negatively affect the FDI inflows as well. On the other hand, GDP per capita and openness degree are positively affects FDI inflows.;This study investigates the determinants of foreign direct investment inflows in developing and developed countries by panel data analysis. This study utilizes data of 27 developed countries and 43 developing countries for the period of 1998 to 2011. The dependent variable is FDI inflows per capita. The main explanatory variable is the statutory corporate income tax rate. In addition, this study employs GDP per capita as the proxy of market size, degree of openness, real minimum wage as the proxy of labor cost, population, and energy production as the proxy of natural resources. Based on the random effect model, the result shows that tax as main explanatory variable, has negative sign as expected. However, it is not significant even at the level of ten percent. Furthermore, the population, real minimum wage, and energy production variables are negatively affect the FDI inflows as well. On the other hand, GDP per capita and openness degree are positively affects FDI inflows;This study investigates the determinants of foreign direct investment inflows in developing and developed countries by panel data analysis. This study utilizes data of 27 developed countries and 43 developing countries for the period of 1998 to 2011. The dependent variable is FDI inflows per capita. The main explanatory variable is the statutory corporate income tax rate. In addition, this study employs GDP per capita as the proxy of market size, degree of openness, real minimum wage as the proxy of labor cost, population, and energy production as the proxy of natural resources. Based on the random effect model, the result shows that tax as main explanatory variable, has negative sign as expected. However, it is not significant even at the level of ten percent. Furthermore, the population, real minimum wage, and energy production variables are negatively affect the FDI inflows as well. On the other hand, GDP per capita and openness degree are positively affects FDI inflows;This study investigates the determinants of foreign direct investment inflows in developing and developed countries by panel data analysis. This study utilizes data of 27 developed countries and 43 developing countries for the period of 1998 to 2011. The dependent variable is FDI inflows per capita. The main explanatory variable is the statutory corporate income tax rate. In addition, this study employs GDP per capita as the proxy of market size, degree of openness, real minimum wage as the proxy of labor cost, population, and energy production as the proxy of natural resources. Based on the random effect model, the result shows that tax as main explanatory variable, has negative sign as expected. However, it is not significant even at the level of ten percent. Furthermore, the population, real minimum wage, and energy production variables are negatively affect the FDI inflows as well. On the other hand, GDP per capita and openness degree are positively affects FDI inflows.

---

Tesis ini meneliti tentang faktor-faktor yang menentukan arus masuk penanaman modal asing langsung di negara-negara maju dan negara-negara berkembang dengan menggunakan analisa data panel. Penelitian ini menggunakan data 27 negara maju dan 43 negara berkembang selama periode 1998 sampai dengan 2011. Variabel bebas yang digunakan adalah arus masuk penanaman modal asing per kapita. Sebagai variabel penjelas utama adalah tarif pajak penghasilan perusahaan. Sedangkan sebagai variabel penjelas tambahan adalah produk domestik bruto per kapita, tingkat keterbukaan perdagangan, upah minimal riil, populasi dan produksi energy. Berdasarkan pengukuran menggunakan random effect model diperoleh hasil bahwa pajak berpengaruh negative terhadap arus investasi asing namun tidak signifikan. Selain itu, jumlah populasi, upah minimum serta produksi energy juga berpengaruh negatif. Sebaliknya, PDB per kapita dan tingkat keterbukaan perdagangan berpengaruh positif terhadap arus masuk penanaman modal asing., This study investigates the determinants of foreign direct investment inflows

in developing and developed countries by panel data analysis. This study utilizes

data of 27 developed countries and 43 developing countries for the period of 1998

to 2011. The dependent variable is FDI inflows per capita. The main explanatory

variable is the statutory corporate income tax rate. In addition, this study employs

GDP per capita as the proxy of market size, degree of openness, real minimum

wage as the proxy of labor cost, population, and energy production as the proxy of

natural resources.

Based on the random effect model, the result shows that tax as main

explanatory variable, has negative sign as expected. However, it is not significant

even at the level of ten percent. Furthermore, the population, real minimum wage,

and energy production variables are negatively affect the FDI inflows as well. On

the other hand, GDP per capita and openness degree are positively affects FDI

inflows]"

"Penelitian ini bertujuan untuk mengetahui pengaruh dari kesehatan bank dan kondisi makroekonomi terhadap profitabilitas (yang diukur dengan ROA) bank domestik, bank campuran dan bank asing di Indonesia, perbedaan signifikan dari profitabilitas dan perbedaan signifikan dari faktor determinan. Variabel yang digunakan adalah ROA, risiko kredit, risiko operasional, GCG, BOPO, CAR, PDB dan inflasi. Di dalam penelitian ini, dijelaskan bahwa terdapat perbedaan faktor determinan profitabilitas dan perbedaan yang signifikan dari ROA antara bank domestik, bank campuran dan bank asing di Indonesia. Perbedaan faktor determinan yang signifikan terlihat pada determinan GCG, BOPO dan CAR. Meskipun demikian, terdapat kemiripan faktor determinan profitabilitas antara bank domestik dan bank campuran. Hasil dari penelitian ini menjelaskan bahwa risiko kredit, risiko operasional, GCG, BOPO, PDB dan inflasi berpengaruh negatif dan signifikan terhadap ROA bank domestik. Sedangkan untuk bank campuran, semua faktor determinan berpengaruh signifikan terhadap ROA. Risiko kredit, risiko operasional, GCG, BOPO, PDB dan inflasi memiliki pengaruh negatif, sedangkan CAR berpengaruh positif terhadap ROA. Untuk bank asing faktor determinan yang berpengaruh negatif dan signifikan terhadap ROA adalah risiko kredit dan risiko operasional, dan yang berpengaruh positif dan signifikan adalah CAR.

---

This research aims to reveal the influence of bank soundness and macroeconomic conditions on the profitability (measured by ROA) of domestic, mix-owned and foreign commercial banks in Indonesia, significant different on the ROA, and significant different on the determinant factors of profitability. Determinant factors tested in this research are, credit risk, operational risk, GCG, BOPO, CAR, GDP and inflation.

In this study, there are significant different on the determinant factors of profitability and significant different on the ROA of domestic banks, mix-owned banks and foreign banks in Indonesia. Significant different of the determinant factors are appear on GCG, BOPO and CAR. Nevertheless, there are some similarities between the determinant factors of profitability of domestic banks and mix-owned banks.

Also, the results of this study explain that credit risk, operational risk, GCG, BOPO, GDP and inflation negatively significant influence the ROA of domestic banks. As for the mix-owned banks, all determinant factors have significant influence on the ROA. Credit risk, operational risk, GCG, BOPO, GDP and inflation are negatively significant influence the ROA, while the CAR positively significant influences the ROA. For the foreign banks, determinant factors that negatively significant influences the ROA are credit risk and operational risk, and the positive significant influence is only for the CAR."