scholarly journals THE EFFECT OF IMPORT FACILITIES FOR EXPORT PURPOSES, EXCHANGE RATES, AND INFLATION ON EXPORTS OF TEXTILES AND TEXTILE PRODUCTS

2020 ◽  
Vol 2 (2) ◽  
pp. 18-38
Author(s):  
Mohammad Fachrudin ◽  
Indah Puspitasari
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Textile Industry ◽  
Inflation Rate ◽  
Raw Materials ◽  
Export Performance ◽  
Fiscal Incentives ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Government

The Import Facility for Export Purpose (KITE) is the Government's effort to encourage export performance. Companies that receive the KITE facility obtain fiscal incentives and export their product to import raw materials. The textile and textile product (TPT) industry is a strategic industry and has been determined by the Government as a pilot industry in the Roadmap for Making Indonesia 4.0. The textile industry relies on imported raw materials, so that the KITE facility is needed to encourage growth and increase product competitiveness in the international market. This study aims to determine the effect of the KITE facility, the rupiah exchange rate against the U.S. dollar, and the inflation rate on Indonesia's textile exports. We used a sample of 37 industrial textile companies in Indonesia that received the KITE facility  2016 to 2018. This study uses a panel data regression model with independent variables: KITE facility, exchange rates, inflation, and exported dependent variable. The results showed that the KITE facility had a positive and significant effect on the textile industry exports. In contrast, the exchange rate and inflation had a negative and significant impact on Indonesia's textile industry exports. This study's implications for the Government can be used to formulate a national strategy to increase export.

scholarly journals The Effect of Government Bonds, Inflation, And Exchange Rate in Achieving SDGs

2021 ◽  
Vol 5 (2) ◽  
pp. 119-135
Author(s):  
Muhammad Rafi Bakri ◽  
Anastasya Utami
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Exchange Rates ◽  
Path Analysis ◽  
Indirect Effect ◽  
Inflation Rate ◽  
Coefficient Of Determination ◽  
Government Bonds ◽  
Inflation Rates ◽  
The Government

This study aims to examine the effect of bonds, inflation rates, and exchange rates on economic growth to achieve Indonesia's 2030 sustainable development goals, namely reducing government and poverty. This study uses a quantitative regression analysis method with a path analysis approach to determine the direct or indirect effect between variables. The variables used are published values, inflation, exchange rates, economic growth, poverty rates, and poverty in Indonesia in 2016-2020. Based on the path analysis, the coefficient of determination of 60.72% indicates that the diversity of the data of 60.72% can be explained in the model. Government Bonds have a direct and significant effect on the economic growth of -1,243. Government obligations indirectly affect the level of movement and mission of 1,098 and 1,128, respectively. The inflation rate directly affects the rate of economic growth of 0.712. The inflation rate has no direct effect on the movement level and poverty of -0.6294 and -0.6644. The exchange rate has no significant direct or indirect effect on economic growth, movement, and poverty. This study concludes that the government needs to control inflation and inflation so that the economy can be achieved and reduce inflation and poverty. Keywords: Government Bond, Inflation Rate, Exchange Rate, Economic Growth, SDG’s

scholarly journals Unrestricted Vector Autoregressive Modelling of the Interaction among Oil Price, Exchange Rate and Inflation in Nigeria (1981–2017)

2019 ◽  
pp. 1-19
Author(s):  
G. L. Tuaneh ◽  
L. Wiri
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Impulse Response ◽  
Inflation Rate ◽  
National Income ◽  
Oil Price ◽  
Var Model ◽  
Annual Data ◽  
Causality Test ◽  
The Government

The interdependence among oil prices, exchange rates and inflation rates, and their response to shocks, was a cause of concern. Unrestricted Vector Autoregression (UVAR) was employed to analyse this interactions as well as to investigate the pattern of causality among the study variable. Annual data spanning from 1981 to 2017 was sourced from the Statistical Bulletin of the Central Bank of Nigeria. Pre-estimation analysis showed that all variables were integrated of order one 1(1), and there no cointegrating relationship. The inverse root of AR characteristic polynomial showed a stable VAR model. All lag length selection criteria chose a lag length of 1. The UVAR estimates and the test of significance particularly the granger causality test indicated significant influence and uni-directional effect from oil price to exchange rates. The Wald statistics, showed significant own shocks, and the impulse response showed that all variables were instantaneously affected by own shocks. Exchange rate was instantaneously affected by oil price; however, it ruled out the response in inflation rate to contemporaneous shocks in oil price. The variance decomposition further showed that at least 93.1%, 97.1% and 92.4% of the impulse response in oil price, exchange rate, and inflation rate respectively were from own shocks in the long run. The post estimation analysis showed that the VAR model was multivariate normal, the residual was homoscedastic, and there was no serial autocorrelation. It was recommended that the government should diversify the national income stream and consider policies that will control inflation.

scholarly journals Cadangan Emas, Harga Emas dan Stabilitas Mata Uang di Negara Islam

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Arina Azwani
Keyword(s):  
Exchange Rate ◽  
Regression Method ◽  
Gold Price ◽  
Paper Currency ◽  
Panel Data Regression ◽  
Data Regression ◽  
Islamic Countries ◽  
The Government ◽  
The Impact ◽  
Observation Period

This study ained to determine ‘the impact of gold reserves accumulation and gold price against exchange rate stability in USD. Observation on four Islamic countries in the world, Malaysia, Qatar, Indonesia and Pakistan that incorporated in OIC (Organization of Islamic Coorporation) with observation period within 18 years from 2000 – 2017 by using panel data regression method. Based on result of partial test, gold reserves does not have positive significant effect against exchange rate while gold price have positive significance effect against exchange rate to four selected Islamic countries. The result on this study want to be more encouraging the government especially in four Islamic countries to increase the stock of gold reserves because of the commodity and the value of gold that proven stable and to apply monetary policy based on Dinar Dirham rather than paper currency, the development of the current currency does not guarantee for economy’s stability, and the value of gold was clearly proven during time of Prophet Muhammad and has been explained in Al-Qur'an and As-Sunnah.

scholarly journals Analisis pengaruh nilai tukar, pertumbuhan ekonomi dan tenaga kerja terhadap ekspor Indonesia dan Malaysia ke China.

2021 ◽  
Vol 16 (2) ◽  
pp. 379-390
Author(s):  
Candra Mustika ◽  
Erni Achmad
Keyword(s):  
United States ◽  
Economic Growth ◽  
Exchange Rate ◽  
Exchange Rates ◽  
The United States ◽  
Average Growth ◽  
United States Dollar ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect

The purpose of this study was to determine and analyze the development of exchange rates, labor, and economic growth, and exports of Indonesia and Malaysia to China from 1993 to 2015 and to analyze the effect of exchange rates, labor, and economic growth on Indonesian and Malaysian exports to China from 1993 to 2015 Based on the results of research The development of Indonesian exports to China fluctuated or fluctuated during the period 1993 to 2015 with an average of 13.95%, while the rupiah exchange rate against the United States dollar and economic growth also fluctuated the average growth the rupiah exchange rate against the United States dollar was 14.52%, and the average economic growth of 4.69% labor also fluctuated with an average growth of 1.72%. Based on the results of the panel data regression shows the exchange rate variable has a significant negative effect on exports to China, the labor variable has a positive and significant effect on exports to China, while the economic growth variable has no significant effect on exports to China.  

scholarly journals The Influence of Financial Performance, Capital Structure and Macroeconomic Factors on Firm’s Value – Evidence from Textile Companies at Indonesia Stock Exchange

2016 ◽  
Vol 2 (2) ◽  
pp. 18 ◽  
Author(s):  
Jubaedah Jubaedah ◽  
Ivan Yulivan ◽  
Abdul Razak Abdul Hadi
Keyword(s):  
Capital Structure ◽  
Financial Performance ◽  
Textile Industry ◽  
Inflation Rate ◽  
Stock Exchange ◽  
Macroeconomic Factors ◽  
Panel Data Regression ◽  
Data Regression ◽  
A Company

This study aims to investigate how financial performance, capital structure and macroeconomic factors may influence a firm’s value in Indonesia textile industry.  This research is exploratory in nature involving 20 textile companies listed in Indonesia Stock Exchange (IDX). Using panel data regression, the results show that financial performance, capital structure, inflation and exchange rate are contributory factors that influence firm’s value.  The better the financial performance of a company, the higher its value will be. The study also reveals that ratio of short term debt to total assets has no significant impact on firm’s value, while there is a positive significant relationship between the ratio of long term debt to total assets and firm’s value. Interestingly, depreciation in Indonesia Rupiah and increase in inflation rate would also enhance the firm’s value. As far as Indonesian textile industry is concerned, the findings suggest that capital structure, increased financial performance, higher inflation rate and depreciating Rupiah do influence the textile company’s value.

scholarly journals Analisis Keputusan Transfer Pricing Berdasarkan Pajak, Tunneling dan Exchange Rate

2020 ◽  
Vol 20 (2) ◽  
Author(s):  
Hani Sri Mulyani ◽  
Endah Prihartini ◽  
Dadang Sudirno
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Stock Exchange ◽  
Transfer Pricing ◽  
Tax Burden ◽  
Manufacturing Companies ◽  
Pricing Decisions ◽  
Pricing Decision ◽  
The Government ◽  
Positive Effect

Tax has two points of view, for the government tax is a source of state revenue that has the largest contribution, but for tax companies is a burden that must be paid. Often companies do tax planning strategies so that the tax burden that must be borne by the company becomes smaller. Companies usually exploit loopholes from the use of accounting methods allowed by accounting and taxation rules. Transfer Pricing is one of the ways companies take to reduce the tax burden. This study aims to determine and obtain empirical evidence about the effect of tax, tunneling and exchange rates on transfer pricing decisions both partially and simultaneously on manufacturing companies listed on the Indonesia Stock Exchange (IDX) for the 2013-2017 period. The research method used is descriptive and verification analysis method. The population in this study were 144 manufacturing companies listed on the Indonesia Stock Exchange in the period 2013-2017. Sampling using a purposive sampling method and obtained a sample of 20 companies. The results of this study indicate that partially significant positive effect on transfer pricing decisions, tunneling does not significantly influence the transfer pricing and exchange rate decisions do not significantly influence the transfer pricing decision, but simultaneously the results of this study indicate that taxes, tunneling and exchange rates affect significant to the transfer pricing decision.

scholarly journals An Empirical Evaluation of Exchange Rates Changes: Economic Implications in Oil-Exporting Countries

2019 ◽  
Vol 12 (2) ◽  
pp. 111-126
Author(s):  
Abdullah AbdulRahman
Keyword(s):  
Saudi Arabia ◽  
Exchange Rate ◽  
Exchange Rates ◽  
Current Account ◽  
Inflation Rate ◽  
Exchange Rate Regime ◽  
Signs And Symptoms ◽  
Kingdom Of Saudi Arabia ◽  
Economic Implications ◽  
Spot Exchange Rate

SummarySubject and purpose of work: This paper examines empirical implications of exchange rates in the economy of the Kingdom of Saudi Arabia (KSA). In particular, it aims to identify and evaluate potential macroeconomic signs and symptoms of economic disturbance so as to determine macroeconomic variables that influence spot exchange rate (1GBP = SAR), and to examine how fixed exchange rate regime influences exports and imports in the Kingdom of Saudi Arabia (KSA).Materials and methods: Multiple regression and simple linear regression models were used to analyze the data from 1975 to 2018.Results: The study found a weak and insignificant relationship between spot exchange rate and unemployment rate, inflation rate, exports, and economic growth, along with strong relations with imports, investment, and current account variation in the KSA.Conclusions: The study recommends the adoption of a floating exchange rate regime in the KSA. It has revealed the signs and symptoms of increases of the inflation rate with decreasing exports, increasing imports, decreasing of current account (current account deficit threat), and small increases of investment.

scholarly journals Labour Force, National Savings and the Manufacturing Sector Productivity in Nigeria

2020 ◽  
Vol 64 (4) ◽  
pp. 459-473
Author(s):  
Adeyemi Babasanya ◽  
◽  
Olukayode Maku ◽  
Joseph Amaefule ◽  
◽  
...  
Keyword(s):  
Exchange Rate ◽  
Raw Materials ◽  
Manufacturing Sector ◽  
Labour Force ◽  
Industrial Sector ◽  
National Bureau ◽  
Growth And Survival ◽  
Long Run ◽  
Negative Effect ◽  
The Government

The study evaluated the role of sectoral labour force and the national savings on the manufacturing sector output in Nigeria from 1985 to 2019, a period of 35years. Data was sourced from Central Bank Of Nigeria (CBN) statistical bulletin various issues up until 2017, National Bureau of Statistics (NBS), and World Development Index (WDI). Data were analyzed using Vector Error Correction Model (VECM). The VECM result revealed that national savings and labour force have long run positive effect on the manufacturing sector output, while exchange rate and inflation have long-run negative effect on the manufacturing sector output. It could be deduced from this study that national savings, labour force in the industrial sector, inflation and exchange rate are very critical factors that determine the growth and survival of the manufacturing sector. Hence, it was recommended that the government look critically to the manufacturing sector and revamp the sector by making credit facility to the sector, and increase the use of domestic raw materials.

scholarly journals Indonesian Clove Competitiveness and Competitor Countries in International Market

2020 ◽  
Vol 9 (1) ◽  
pp. 39-54
Author(s):  
Adnan Putra Pratama ◽  
Dwidjono Hadi Darwanto ◽  
Masyhuri Masyhuri
Keyword(s):  
Panel Data ◽  
Sri Lanka ◽  
Market Share ◽  
Secondary Data ◽  
International Market ◽  
Panel Data Regression ◽  
Data Regression ◽  
The World ◽  
The Government ◽  
Star Position

Trade liberalization is currently demanding every country to increase the competitiveness of its products. Indonesia as the largest clove producer in the world has a major competitor in the international market. This study aims to determine the competitiveness of Indonesia's clove exports and competing countries in the international market and determine the factors that affect its competitiveness. The data used in this study are secondary data from five major producing countries namely Indonesia, Madagascar, Tanzania, Sri Lanka, and Comoros during the period 2000-2017 sourced from UNComtrade, FAO and the World Bank. Competitiveness is measured by Revealed Comparative Advantage (RCA), Acceleration Ratio (AR) and Export Product Dynamic (EPD) while the factors that affect competitiveness are used panel data regression methods using E-Views software. The results showed that Indonesia had the lowest RCA index, the AR value showed Madagascar and Tanzania were able to capture market share in the international market and the EPD value showed that all countries occupied the rising star position except Sri Lanka in the falling star position. Panel data regression analysis results show that the market share and GDP variables significantly influence the competitiveness of the main clove producing countries while the production variables and export prices do not significantly influence the country's competitiveness. The government must dare to take policies to limit clove imports and increase exports.

scholarly journals PANEL DATA REGRESSION ANALYSIS FOR FACTORS AFFECTING INFANT MORTALITY RATE IN EAST JAVA 2013-2017

2021 ◽  
Vol 16 (3) ◽  
pp. 437
Author(s):  
Faishal Azhar Wardhana ◽  
Rachmah Indawati
Keyword(s):  
Panel Data ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Data Availability ◽  
Infant Mortality Rate ◽  
Complete Coverage ◽  
Cross Sectional ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Government

ABSTRACTThe escalating infant mortality rate (IMR) in Indonesia has not been able to fulfill the target of Sustainable Development Goals (SDGs) that restrict the limit of IMR to just 12 of 1,000 live births. According to such fact, this research was designed as the application of panel data regression in an IMR case study of East Java from 2013–2017. Regression panel data enable research in describing cross-sectional and time series information. The variety of data availability in this method were capable of producing a high degree of freedom, allowing it to meet the prerequisites and statistical properties. This method was considered the most suitable one for analyzing the rising IMR. This research was classified as non-reactive research. All regencies/cities in East Java served as this study’s population. Data collection included K4 coverage, childbirth assistance, and KN complete coverage. The result of panel data regression showed a significant connection between K4 coverage (0.0230), childbirth assistance (p = 0.0105), and KN complete coverage (0.0205). Adjusted R-Square value was obtained with an amount of 80%, which means that all independent variables were able to explain the dependent one of that value, while the remaining were explained by other factors. This study can provide some suggestions to support IMR in East Java, including handling from the government or related pregnant families to support IMR on an ongoing basis. Keywords: panel data regression, IMR, K4, childbirth assistance, KN complete

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