scholarly journals Declining Proportion of Foreign Exchange Earnings from Tourism to Gross Domestic Product in Nepal

2017 ◽  
Vol 2 ◽  
pp. 45-50
Author(s):  
Deo Narayan Sutihar
Keyword(s):  
Time Series ◽  
Gross Domestic Product ◽  
Foreign Exchange ◽  
Time Series Data ◽  
Interdisciplinary Studies ◽  
Domestic Product ◽  
Series Data

This article attempts to estimate annual declining trend of proportion of foreign exchange earnings from tourism to Gross Domestic Product (GDP) in Nepal and test the significance of declining trend of this ratio using time series data of 20 years from FY 1991/92 to FY 2010/11l. It has been that the declining trend of foreign exchange earnings from tourism to GDP ratio is significant. The inequality in the distribution of foreign exchange earnings from tourism to GDP ratio is tolerable. Janapriya Journal of Interdisciplinary Studies Vol. 2, No.1 (December 2013), page: 45-50

scholarly journals ANALISIS PENGARUH INFLASI, PRODUK DOMESTIK BRUTO (PDB), DAN NILAI TUKAR TERHADAP TABUNGAN MUDHARABAH PADA BANK UMUM SYARIAH (PERIODE 2013-2017)

2019 ◽  
Vol 8 (2) ◽  
pp. 138
Author(s):  
Rita Nur Wahyuningrum ◽  
Aan Zainul Anwar
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Linear Regression ◽  
Gross Domestic Product ◽  
Multiple Linear Regression ◽  
Time Series Data ◽  
Domestic Product ◽  
Series Data ◽  
Islamic Banking ◽  
Central Statistics

<p>This study aims to analyze the effect of inflation, gross domestic product (GDP) and rupiah exchange rate on Mudharabah savings in Islamic banking in Indonesia. The data used is time series data for the period March 2013 to September 2017, which was published by Bank Indonesia from the Islamic Banking Statistics Report and the Central Statistics Agency. The technique of analyzing the research is qualitative with the method of Multiple Linear Regression. The results of this study indicate that simultaneously the Inflation, Gross Domestic Product (GDP) and Exchange Rate variables together have a significant effect on Mudharabah Savings. While partially only the Exchange Rate variable has a significant effect on Mudharabah Savings. Inflation Variables and Gross Domestic Product (GDP) have no significant effect on Mudharabah Savings.</p><p> </p><p>Keyword: inflation, gross domestic product, exchange rate, mudharabah saving</p>

scholarly journals ANALISIS PENGARUH INFRASTRUKTUR PUBLIK TERHADAP PRODUK DOMESTIK BRUTO PERKAPITA DI INDONESIA

IQTISHODUNA ◽  
2012 ◽  
Author(s):  
Eko Fajar Cahyono, David Kaluge
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Gross Domestic Product ◽  
Time Series Data ◽  
Positive Impact ◽  
Physical Capital ◽  
Domestic Product ◽  
Series Data ◽  
Public Infrastructure ◽  
Correction Model

This study aims to measure how far the influence of public infrastructure such as roads, electricity,  and telephone  to Gross Domestic Product in Indonesia. This research is based on the theory of classical and neoclassical economic growth which assumes that the infrastructure is physical capital that relate either directly or indirectly to economic growth. This research used error correction model  analysis and time series data. Based on estimates found that public infrastructure have a significant and positive impact on Gross Domestic Product.

Export Trend of Ready Made Garments (RMG) Sector of Bangladesh

2021 ◽  
Vol 13 (1) ◽  
pp. 101-110
Author(s):  
M. S. Hossain ◽  
M. T. Uddin
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Gross Domestic Product ◽  
Foreign Exchange ◽  
Time Series Data ◽  
Series Data ◽  
Upward Trend ◽  
Trend Model ◽  
Significant Upward Trend ◽  
The Government

Ready-Made Garments (RMG) sector has greater importance than any other sector in Bangladesh in terms of growth, employment, foreign exchange earnings and Gross Domestic Product (GDP). The objective of this study is to determine the export trend of the RMG sector in Bangladesh by using different trend models. To serve the objectives of the study, time-series data of RMG sectors has been used for the period 1985-2018. Among several trend models, the Semi-log Parabolic Trend model is found to be the best-fitted model for determining the trend of RMG exports. From the empirical results of the study, it is observed that RMG exports have a significant upward trend for the period 1985-2018 with a growth rate of 8.76 % in 2018. The forecasted RMG export will be nearly 31712.82 million USD in the financial year 2022-23. The findings of the study will help the government, NGO’s and policymakers to undertake necessary steps for the progress of this sector.

scholarly journals Pengaruh Produk Domestik Bruto, Ekspor Dan Kurs Terhadap Cadangan Devisa Di Indonesia

2020 ◽  
Vol 4 (2) ◽  
pp. 301-313
Author(s):  
Fuji Astuty
Keyword(s):  
Gross Domestic Product ◽  
Exchange Rates ◽  
Foreign Exchange ◽  
Time Series Data ◽  
Domestic Product ◽  
Series Data ◽  
Foreign Exchange Reserves ◽  
Federal Reserve Bank ◽  
Reserve Bank ◽  
Analysis Technique

This study aims to analyze the effect of gross domestic product, exports and exchange rate on foreign exchange reserves in Indonesia. This research is in the form of quantitative based on quantitative data and is associative to see the relationship between variables or more. The data used is time series data from 2001 to 2018 using Eviews 9.0. And sourced from Bank Indonesia, the Central Bureau of statistics and the Federal Reserve Bank of St. Louis. This research uses data analysis technique is multiple linear analysis. The results showed that the variables of gross domestic product, exports and exchange rates have a positive and significant effect on Indonesia’s foreign exchange reserve. The R-square value in this study is 95.36, indicating that 95,36% of the variation in foreign exchange reserves can be explained by the gross domestic product, exchange rates and exports, while the remaining 4.64% is explained by other variables outside of this research model

scholarly journals Analisis faktor-faktor yang mempengaruhi ekspor CPO provinsi Jambi ke Malaysia

2020 ◽  
Vol 8 (3) ◽  
pp. 143-154
Author(s):  
Usman Hardianto ◽  
Siti Hodijah ◽  
Rahma Nurjanah
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Gross Domestic Product ◽  
Exchange Rates ◽  
Time Series Data ◽  
Secondary Data ◽  
Domestic Product ◽  
Series Data ◽  
Insignificant Effect ◽  
Average Development

The purpose of the study was to determine and analyze the development of production, exchange rates, CPO prices, Malaysian GDP, and Jambi Province CPO exports to Malaysia and the effect of production, exchange rates, CPO prices, Malaysian GDP on Jambi Province CPO exports to Malaysia. The data used in this study is secondary data in the form of time series data for 2000-2017. The results show that the average development of Jambi Province CPO exports to Malaysia is 4.10% per year, Jambi Province CPO production is on average 4, 10% per year, the average exchange rate is 2.64% per year, the average CPO price is 8.63% per year, and Malaysia's GDP is 4.89% per year on average. Based on the results of multiple linear analyses, it can be concluded that CPO production, CPO prices, exchange rates, and Malaysian GDP together affect the volume of Jambi Province's CPO exports to Malaysia. While partially production and GDP have a negative and insignificant effect on Jambi Province's CPO exports to Malaysia, the exchange rate and CPO prices positively and significantly impact Jambi Province's CPO exports to Malaysia. Keywords: Production, Price, Exchange rates, Gross Domestic Product

scholarly journals PENGARUH SUKU BUNGA, PRODUK DOMESTIK BRUTO DAN NILAI TUKAR TERHADAP EKSPOR DI INDONESIA

2019 ◽  
Vol 4 (2) ◽  
pp. 300-317
Author(s):  
Okta Rabiana Risma ◽  
T. Zulham ◽  
Taufiq C. Dawood
Keyword(s):  
Time Series ◽  
Interest Rate ◽  
Gross Domestic Product ◽  
Interest Rates ◽  
Time Series Data ◽  
Domestic Product ◽  
Series Data ◽  
Auto Regressive ◽  
The Difference

This research aims to analyze the level of exports in Indonesia by using Time Series data from the year 1990 to 2015 against a variable interest rate loands, gross domestic product, and the exchange rate. Methods of analysis used i.e, Auto Regressive Distributed Lagged (ARDL). The results showed that the three variables have no Granger which is caused by the difference of the order on the test stasioner. Based on a test of wald for the short term that gained and the long-term gross domestic product, exchange rates and interest rates significantly influential credit toward export.Keywords:ARDL, export, interest rate loands, gross domestic product, exchange rates.AbstrakPenelitian ini bertujuan untuk menganalisis tingkat ekspor di Indonesia dengan menggunakan data Time Series dari tahun 1990 sampai 2015 terhadap variabel suku bunga kredit, produk domestik bruto, dan nilai tukar. Metode analisis yang digunakan yaitu AutoRegressive Distributed Lagged (ARDL).Hasil penelitian menunjukkan bahwa ketiga variabel tidak memiliki kointegrasi yang disebabkan oleh perbedaan ordo pada uji stasionernya. Berdasarkan uji wald didapat bahwa untuk jangka pendek dan jangka panjang produk domestik bruto, nilai tukar dan suku bunga kredit berpengaruh secara signifikan terhadap ekspor.

scholarly journals PERAMALAN PRODUK DOMESTIK BRUTO (PDB) SEKTOR PERTANIAN, KEHUTANAN, DAN ‎PERIKANAN MENGGUNAKAN SINGULAR SPECTRUM ANALYSIS (SSA)

2019 ◽  
Vol 8 (1) ◽  
pp. 68-80
Author(s):  
Desy Tresnowati Hardi ◽  
Diah Safitri ◽  
Agus Rusgiyono
Keyword(s):  
Gross Domestic Product ◽  
Spectrum Analysis ◽  
Time Series Data ◽  
Seasonal Pattern ◽  
Singular Spectrum Analysis ◽  
Domestic Product ◽  
Series Data ◽  
Percentage Error ◽  
Singular Spectrum ◽  
Tracking Signal

Forecasting is the process of estimating conditions in the future by testing conditions from the past. One of the forecasting methods is Singular Spectrum Analysis (SSA) which aim of SSA is to make a decomposition of the original series into the sum of a small number of independent and interpretable components such as a slowly varying trend, oscillatory components and a structureless noise. Gross Domestic Product data in the agriculture, forestry, and fisheries sector are time series data with trend and seasonal pattern so that it can be processed using the SSA method. The forecasting process of SSA method uses the main parameter (L) of 21 obtained by the Blind Source Separation (BSS) method. From forecasting, acquired group of 3 groups. Forecasting resulted the value of Mean Absolute Percentage Error (MAPE) is 1.59% and the value of tracking signal is 2.50, which indicates that the results of forecasting is accurate. Keywords: Forecasting, Gross Domestic Product in the agriculture, forestry, and fisheries sector, Singular Spectrum Analysis (SSA)

scholarly journals An Examination Into the Causal Links Among Inward FDI Determinants: Empirical Evidence From Jordan

2021 ◽  
Vol 12 (2) ◽  
pp. 195
Author(s):  
Mohamed Ibrahim Mugableh
Keyword(s):  
Gross Domestic Product ◽  
Time Series Data ◽  
Trade Openness ◽  
Vital Role ◽  
Domestic Product ◽  
Series Data ◽  
Foreign Direct Investments ◽  
Vector Error Correction ◽  
Long Span ◽  
Foreign Policies

This paper examined the causal links between inward foreign direct investments (FDI) and its determinants (i.e., gross domestic product, education, trade openness, infrastructure, and technological abilities) for Jordan over (the period 1980 – 2018). The paper used vector error correction model. The results of the study considered that gross domestic product, trade openness, education, infrastructure, and technological abilities are primary engine of inward FDI in (long term and short term). Thus, the results have vital role for the policy makers in Jordan to formulate domestic and foreign policies. This study relied on three essential parts. Firstly, FDI is a significant source of capital that promotes economic growth. Secondly, the question of what are the leading drivers of FDI remains inadequate in the literature. Finally, this research adds to the literature by using different econometrics techniques and long span of yearly time series data. 

scholarly journals VECTOR AUTOREGRESSIVE APPROACH AFTER FIRST DIFFERENCING: A TIME SERIES ANALYSIS OF INFLATION AND ITS DETERMINANTS IN TANZANIA

2021 ◽  
pp. 43-56
Author(s):  
Rachel R. Cheti ◽  
Bahati Ilembo
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Gross Domestic Product ◽  
Money Supply ◽  
Inflation Rate ◽  
Negative Impact ◽  
Causal Effect ◽  
Domestic Product ◽  
Series Data ◽  
Vector Autoregressive

The objective of the study was to examine the trend of inflation and its key determinants in Tanzania. We used secondary time series data observed annually from January 1970 to 2020 which are inflation rate, GDP, Exchange rate and money supply. The vector autoregressive (VAR) model was employed for modeling. Augmented Dickey-Fuller test (ADF) found that inflation rate, Gross Domestic Product (GDP), exchange rate and Money supply (M3) were initially non-stationary but they became stationary after first differencing so as to proceed with the analysis. Preliminary tests before obtaining vector auto regressive model were carried out before determining the relationship between the variables. Diagnostic test such as serial correlation, heteroscedasticity, stability and normality were also important to evaluate the model assumptions and investigate whether or not there are observations with a large, undue influence on the analysis. We used Granger causality test (GCT) to determine causal- effect relationship between the variables. The results show that, there is a long run relationship between the variables, also the results showed that exchange rate and money supply (M3) both have a positive impact on inflation rate while gross domestic product (GDP) revealed a negative impact on inflation rate. Finally, the forecast of inflation rate for 15 years ahead was performed. The study recommends that the government should pursue both contractionary monetary policy and fiscal policy in order to control inflation in the country.

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