scholarly journals Determinan dan Stabilitas Ekspor Crude Palm Oil Indonesia

2017 ◽  
Vol 20 (1) ◽  
pp. 47
Author(s):  
Eva Nurul Huda ◽  
Arif Widodo
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Negative Impact ◽  
Series Data ◽  
Independent Variables ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Ardl Approach ◽  
Short And Long Term

<p><em>We analyze the influence of CPO production, exchange rate, international CPO price and the terms of trade on Indonesian CPO exports in October 2011-December 2015. In doing so, we use the Autoregressive Distributed Lag (ARDL) approach to analyze the monthly time-series data for the periods of 2011:M10-2015:M12. Our findings suggest that both in the short- and long-term, the international CPO price has a significantly negative impact on Indonesia's CPO exports. Meanwhile, the CPO production and exchange rate have negative and significant effects on Indonesia's CPO exports both in short- and long-term. Taken together, all the independent variables have significant effects on Indonesia’s CPO export. Finally, based on CUSUM and CUSUMQ test, it shows that the long-term coefficient of the CPO exports model is stable.</em></p><p><em><br /></em></p><p align="center"><strong>Abstrak</strong></p><p align="center"><strong> </strong></p><p><em>Tujuan dari studi ini adalah untuk menganalisis seberapa besar pengaruh dari produksi kelapa sawit, nilai tukar rupiah terhadap dollar AS, harga CPO internasional dan <em>Term of Trade</em> terhadap ekspor CPO Indonesia pada periode Oktober 2011 sampai dengan Desember 2015. Penelitian ini menggunakan pendekatan <em>Autoregressive Distributed Lag</em> (ARDL) dengan data sekunder runtut waktu bulanan untuk periode 2011:M10-2015:M12. Hasil dari penelitian ini menunjukkan bahwa harga CPO internasional mempunyai efek negatif dan signifikan, baik dalam jangka pendek maupun jangka panjang terhadap ekspor CPO Indonesia. Variable<em> Term of Trade</em> dalam jangka pendek maupun panjang mempunyai efek positif dan signifikan terhadap ekspor CPO, sedangkan variabel produksi kelapa sawit dan nilai tukar rupiah terhadap dolar Amerika mempunyai pengaruh negatif dan signifikan terhadap ekspor dalam jangka pendek maupun panjang. Lebih lanjut, semua variabel independen secara bersama-sama mempengaruhi ekspor CPO di Indonesia, sehingga hipotesis yang menunjukkan tidak ada hubungan antara variabel independen dan dependen ditolak. Terakhir, berdasarkan pada uji CUSUM dan CUSUMQ dapat disimpulkan bahwa model ekspor CPO stabil dalam jangka panjang.<br /></em></p>

scholarly journals PENERAPAN AUTOREGRESSIVE DISTRIBUTED LAG DALAM MEMODELKAN PENGARUH INFLASI, PERTUMBUHAN EKONOMI, DAN FDI TERHADAP PENGANGGURAN DI INDONESIA

2020 ◽  
Vol 9 (3) ◽  
pp. 250
Author(s):  
Jumhur Jumhur
Keyword(s):  
Economic Growth ◽  
Foreign Investment ◽  
High Speed ◽  
Time Series Data ◽  
Series Data ◽  
Short Term ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Short And Long Term

This study aims to examine the effect of inflation, economic growth, and foreign investment on unemployment in Indonesia. Using the autoregressive distributed lag (ARDL) analysis method to analyze the 1991-2018 time series data collected from the World Bank's World Development Indicators database. The results found that inflation has a negative and significant effect in the short term but not significant in the long term in Indonesia. Economic growth has a negative and significant effect on both short and             long-term unemployment in Indonesia, and foreign investment has a negative and significant effect on both short and long-term unemployment in Indonesia. Through the ARDL model, this research is able to prove that inflation, economic growth, foreign investment, and budgeting are proven to have long-term cointegration or move together in the long term. The four variables also have a dynamic short-term relationship that has a fairly high speed of adjustment towards equilibrium per year. Based on the results, policymakers, in this case the government must provide a conducive investment environment by eliminating the structural rigidity that exists in the economy to attract investment, both foreign and domestic investment, to encourage economic growth and create jobs in Indonesia.

scholarly journals MACROECONOMIC VARIABLES AND RISING FOOD PRICES: EMPIRICAL EVIDENCE FROM PAKISTAN

2014 ◽  
Vol 10 (1) ◽  
Author(s):  
Hamid Salman ◽  
Keyword(s):  
Time Series Data ◽  
Food Prices ◽  
Series Data ◽  
Energy Prices ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Ardl Approach ◽  
Short Run ◽  
Food Commodities

Purpose: This study examines the long and short-run impact of macroeconomic variable on rising food commodities prices. Methodology/Sampling: For this paper mixed method approach is used, quantitative time series data over the period 1991-2013 and autoregressive distributed lag (ARDL) approach to Co-integration, whereas qualitative data is collected from thematic analysis of many past researches in order to determine the most and least critical consequences of food prices skies by using NVIVO 10 software technique “tree map”. Findings: The result shows energy prices and dollar prices have positive beta coefficients and having statistically significant impact on rising food commodities price index Moreover, the error correction model’s coefficient is with negative sign that suggests its expected significant adjustment toward long-term. Whereas the qualitative results identified different variables have different magnitude of relationship with rising food prices in different situation; Exchange rate, energy prices, money supply are the most critical consequences of rising food items prices. Practical Implications: The study therefore recommends that government should develop and integrated efficient and effective energy and monetary policy with long-term future development outline of controlling food inflation.

Factors Determining Gold Prices in Malaysia

2019 ◽  
Vol 1 (2) ◽  
pp. 75-82
Author(s):  
Anis Mat Dalam ◽  
Noorhaslinda Kulub Abd Rashid ◽  
Jaharudin Padli
Keyword(s):  
Crude Oil ◽  
Time Series Data ◽  
Oil Prices ◽  
Series Data ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Crude Oil Prices ◽  
Inflation Rates ◽  
Ardl Approach ◽  
Gold Reserve

Gold is a valuable asset to a country because of its liquidity. Gold reserve can stabilize the currency in a country. The objective of this paper is to identify the factors contributing to the volatility of gold prices, such as Real Malaysia GDP, inflation rates, crude oil prices and exchange rates. The data was analysed using Autoregressive Distributed Lag (ARDL) approach with time series data, with 30-year coverage from 1987 to 2016. Findings showed that only Real Malaysia GDP and crude oil prices were significantly related to gold prices. As a conclusion, this study can be used as reference by other investors. The author suggests to other researchers to further improve upon this study by adding more variables or diversifying the variables that relate to volatility of gold prices.

The Effect of Covid-19, Rupiah Exchange Rate, and Inflation on the Indonesia Sharia Stock Index during the Covid-19 Pandemic

2021 ◽  
Vol 4 (1) ◽  
pp. 313-336
Author(s):  
Achmad Agus Priyono ◽  
Ari Kartiko
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Negative Impact ◽  
Stock Index ◽  
Series Data ◽  
Stock Market Index ◽  
Short Term ◽  
The Us ◽  
Us Dollar

Purpose of this study is to clarify the effect of the number of daily cases reported to have contracted the Covid-19 virus, the exchange rate of the rupiah against the US dollar and inflation on the movement of the Indonesian Sharia stock index (ISSI) during the Pandemic Covid 19 in the short term and long term. Data analysis methods that used is analysis Error Correction Mechanism (ECM) using Eviews software 10. The data collected is daily time series data starting from March 2, 2020 to May 31, 2021 so that the number of samples collected obtained as many as 283 samples . The results of the study stated that the addition of the daily number of reported cases of contracting the Covid-19 virus has a negative impact on The Indonesian Sharia Stock Market Index (ISSI) during the Covid-19 pandemic, so that encourage the weakening of the Stock Index both in the long and long term short. Likewise, the weakening of the rupiah against the US dollar will caused the fall of the sharia index during the Covid 19 pandemic, both in the long term and long and short term. However, the study found no effect inflation on the Indonesian Sharia Stock Index (ISSI) during the Covid19 pandemic, good long term and short term

scholarly journals Autoregressive Distributed Lag Kurs Dan Ekspor Karet Remah Terhadap Pertumbuhan Ekonomi Indonesia

2020 ◽  
Vol 3 (2) ◽  
pp. 47
Author(s):  
Nulhanuddin Nulhanuddin ◽  
Devi Andriyani
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Exchange Rates ◽  
Crumb Rubber ◽  
Short Term ◽  
Insignificant Effect ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Ardl Approach

This study aims to determine the effect of short-term and long-term exchange rates and crumb rubber exports on the economic growth of Indonesia. The data used are secondary data for 39 years from 1980 to 2018 accessed on www.world.bank.wdi.data.bank.org, www.pertanian.go.id, www.bps.go.id, and www.bps.go.id. The data analysis method used is the Autoregressive Distributed Lag (ARDL) approach with the help of EViews 10 software. The results show that the economic growth is stationary at the level and exchange rate and exports of stationary crumb rubber at the first difference level and have cointegration in the long-term relationship. The test results in the short-term analysis of the exchange rate have a positive and significant effect, and exports have a positive but insignificant effect on economic growth, while in the long run, the exchange rate has a negative effect but insignificant, and exports have a positive but insignificant effect on the economic growth of Indonesia. Keywords:economic growth, exchange rates, exports and the ARDL approach.  

scholarly journals Does urbanization intensify carbon emissions in Nigeria?

2020 ◽  
Vol 17 (2) ◽  
pp. 161-177
Author(s):  
Muhammad Shehu
Keyword(s):  
Carbon Emissions ◽  
Carbon Emission ◽  
Energy Use ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
Short Term ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag

This study examines the urbanization and CO2 emissions nexus in Nigeria using the Autoregressive Distributed Lag (ARDL) method to analyze the annual time series data spanning from 1974 to 2015. Findings suggest that urbanization, GDP, energy use, and carbon emissions are strongly and positively correlated, while trade and carbon emissions exhibit a weak and negative correlation. The ARDL result shows a negatively significant short-term and long-term connection between urbanization and carbon emission in the Nigerian economy. In the short-term, GDP, trade and energy use positively affect carbon emission while in the long-term, trade and GDP negatively affect carbon emissions with energy use having a positive impact on carbon emissions. The study, therefore, concludes that urbanization does not cause carbon emission to rise in Nigeria, but energy use does. From the findings, it was recommended that there is a need for the use of energy-saving and environmentally friendly technology to reduce the amount of carbon emission in the economy.

scholarly journals Factors Affecting Manufacturing Exports

2020 ◽  
Vol 23 (2) ◽  
Author(s):  
Euis Eti Sumiyati
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Series Data ◽  
Long Term Effects ◽  
Factors Affecting ◽  
Long Run ◽  
Short And Long Term ◽  
Manufactured Exports ◽  
Positive Effect

This study aims to determine the factors that influence manufacturing exports in Indonesia. This study uses time-series data with 40 data observations starting from the 1st quarter of 2010 to the 4th quarter of 2019. This study's analysis method is the vector error correction model (VECM), which can dynamically describe the short-term and long-term effects. Export determinants to be examined are inflation, the rupiah exchange rate, Gross Domestic Product (GDP), and Foreign Direct Investment (FDI). This study indicates that inflation at lag 1 harms manufactured exports both in the short and long term. Furthermore, GDP has a positive effect on manufacturing exports in the short run at lag 1 and lag 2, while in the long run, GDP has a positive effect only on lag 1. Meanwhile, the exchange rate and FDI factors did not affect manufactured exports, both in the short and long term. This study implies that inflation and GDP are essential factors in designing policies to increase exports in Indonesia, including exports of manufactured products.

Dynamic Nexus between Economic Growth and Total Reserve and Aggregate Consumption Expenditure: An ARDL Approach

2020 ◽  
Vol 11 (10) ◽  
pp. 683-688
Author(s):  
Md. Obidul Haque ◽  
Saddam Hossain ◽  
Mehedi Hasan
Keyword(s):  
Economic Growth ◽  
Consumption Expenditure ◽  
Explanatory Variables ◽  
Aggregate Consumption ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Ardl Approach ◽  
Short And Long Term ◽  
Bound Test

This paper tries to see the association among reserve, aggregate consumption expenditure, and economic growth by employing the autoregressive distributed lag (ARDL) model. Both the explanatory variables such as consumption and reserve are statistically significant. The consumption expenditure is strongly affecting the economic growth both in the short and long-term. Performing the ADF and PP test the variables are integrated order of one I(1). The bound test confirmed that the long-term association exists between the variables. There ¬is a unidirectional association found among the variables.

Macro-Economic Disequilibrium and Educational Development in Nigeria between 1980-2017

2019 ◽  
Vol 10 (08) ◽  
pp. 20592-21600
Author(s):  
Gbadebo Salako ◽  
Adejumo Musibau Ojo ◽  
Jaji Ayobami Francis
Keyword(s):  
Time Series Data ◽  
Educational Development ◽  
Negative Relationship ◽  
Series Data ◽  
Explanatory Variables ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Stationarity Test ◽  
Level I

This study empirically investigates the effects of macroeconomic disequilibrium on educational development in Nigeria. The study employed time series data between 1980 and 2017. Autoregressive Distributed Lag method of estimation was employed. The result revealed that the variables stationarity test were mixed between the first difference I(I) and level I(0). The cointegration result shows that there exist long run relationship between the variables. The result revealed that Balance of payment, Poverty, Debt rate inflation and unemployment exhibited negative relationship with educational development. The estimation result showed that all explanatory variables account for 88% variation of educational development in Nigeria. It is therefore recommended that government should fast track policies that can stabilize inflation and exchange rate in the country. Also, Policies must be formulated to reduce poverty and unemployment.

scholarly journals Daya Tahan Sektor Rumah Tangga Dalam Rangka Menjaga Stabilitas Sistem Keuangan

2018 ◽  
Vol 5 (1) ◽  
pp. 65
Author(s):  
Ita Rakhmawati ◽  
Suhadi Suhadi
Keyword(s):  
Interest Rates ◽  
Time Series Data ◽  
Negative Impact ◽  
Financial System ◽  
Series Data ◽  
Price Stability ◽  
Economic Stability ◽  
Independent Variables ◽  
High Inflation ◽  
The Stability

The crisis in 1997 is the image of the high rise in inflation in Indonesia. The phenomenon of inflation when it reached 82.40% (Anas, 2006). The early mid-1998 also experienced a weakening of the rupiah against the dollar. Condition stable economy is the desire of each country in comparison with the state of the economy has always fluctuated. Economic stability will create an atmosphere conducive economy. stable climatic conditions in the expected level of welfare is the purpose in each country. One of the efforts to maintain economic stability is through monetary policy. For example, with economic growth, maintain price stability (inflation), the achievement of the balance of payments and the reduction of unemployment (Natsir, 2008). The stability of the financial system of a country of which reflected their price stability, in the sense that there are a great price that can be harmful to society, both consumers and manufacturers that will damage the joints of the economy. However, the implementation of the policy, Bank Indonesia as the monetary authority uses monetary variables such as interest rates and the money supply to cope with economic shocks such as inflation. Besides the need for the government’s role in maintaining the rupiah to avoid turmoil in the economy. The importance of inflation control based on the consideration that the high inflation and unstable negative impact on socio-economic conditions of society. Among the high inflation will cause a decline in the real income of the community so that the standard of living of the people down and eventually make everyone, especially the poor get poorer. From one of the effects of inflation are so wide will impact people’s demands to meet the needs of more and more difficult. Their continuousprice increases being offset by rising income of the communities, it can make sure the Indonesian state would worsen. As a result many people’s needs can not be met, so many things that must be met by way of credit. The number of community needs that must be met will cause world of opportunities for banks to offer credit readily available to meet the needs. The third object of research above (inflation, poverty, and credit) does affect the stability of the financial system? In this study using secondary data from the Badan Pusat Statistik (BPS) and Bank Indonesia (BI) with time series data from the years 2007-2015. The process of data analysis was performed using OLS regression with Eviews 8.0. Based on research, if only partial test of the poverty variable significantly affect the stability of the financial system amounted to 2,023 with α = 10%. Meanwhile, two other variables (inflation and poverty) is not significant to the stability of the financial systemMeanwhile, two other variables (inflation and poverty) is not significant to the stability of the financial system. While the value of R-Square (0.629900), indicating that the three independent variables / free consisting of inflation, poverty and credit simultaneously have the effect that make the stabilization of the financial system increases or decreases. That is jointly independent variables (inflation, poverty and loans) contributed / effect of 62.9% against the stability of the financial system. The rest is the influence of other factors beyond the three independent variables studied.

Sign in / Sign up

Export Citation Format

Share Document