scholarly journals The Effect of Energy Consumption, Energy Resources, Economic Growth, and Road Infrastructure on Co2 Emissions in Indonesia

2021 ◽  
Vol 2 (3) ◽  
pp. 173-183
Author(s):  
Zulfikar Zulfikar ◽  
Sofyan Syahnur ◽  
M. Shabri Abd. Majid
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Time Series Data ◽  
Energy Resources ◽  
Series Data ◽  
Short Term ◽  
Road Infrastructure ◽  
Previous Period

This study aims to analyze the effect of energy resources, energy consumption, and road infrastructure on economic growth and their effect on CO2 emissions in Indonesia. This study uses time series data in Indonesia for the period 2000 to 2019 and the analytical model used is the Auto Regressive Distributed Lag (ARDL) model. The results found in this study are variables that have a significant effect on economic growth in the short term are road infrastructure in the same period, in the previous period, as well as in the previous 2 periods and resources. Meanwhile, the ones that have a significant effect in the long term are road infrastructure and energy resources. Variables that have a significant effect on CO2 emissions in the short term are road infrastructure, energy consumption in the previous period, economic growth in the previous period, energy consumption and energy resources. While the variables that influence in the long term are economic growth and energy resources.

PENGARUH KONSUMSI ENERGI DAN PENGELUARAN PERTAHANAN TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA

2019 ◽  
Vol 1 (2) ◽  
pp. 393
Author(s):  
Roza Revika ◽  
Yeniwati Yeniwati
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Time Series Data ◽  
Descriptive Analysis ◽  
Defense Spending ◽  
Series Data ◽  
Short Term ◽  
Defense Expenditure ◽  
Long Run

This study aims to analyze the effect of energy consumption and defense expenditure on economic growth partially in theshort and long term in Indonesia. This study uses secondary data with descriptive analysis using Time Series data from 1988 to 2017. The analytical method used is Auto Regression Distributed Lag (ARDL). The results of this study indicate that energy consumption in the long run has a negative and significant effect on economic growth in Indonesia. Energy consumption in the short term has a negative and not significant effect on economic growth in Indonesia. Defense spending has a positive and significant effect on economic growth in Indonesia in the long term and in the short term. It can be concluded that in the long run energy consumption and defense expenditure significantly influence economic growth in Indonesia.

scholarly journals The effect of CO2 emissions in Indonesia

2021 ◽  
Vol 922 (1) ◽  
pp. 012026
Author(s):  
Z Yusuf ◽  
Wardhiah ◽  
G Syamni ◽  
M J A Siregar ◽  
Y A Sitepu
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Co2 Emission ◽  
Time Series Data ◽  
Series Data ◽  
Long Term Effects ◽  
Short Term ◽  
Ardl Model ◽  
The Government

Abstract This study was conducted to examine the effect of the variable use of CO2 emission gas and export variables on Indonesia’s economic growth. The data used in this study are time series data from the two variables for the period 2004 to 2019. All data were obtained from the world bank and accessed through the www.data.worldbank.org. The data analysis method used in this study uses an autoregressive distributed lag (ARDL) model approach. The ARDL model is used to examine the short-term and long-term effects of CO2 gas emission variables and export variables. The results of the study found that the variable use of CO2 emission gas in the short term had a positive and insignificant effect on economic growth. The export variable has a significant positive effect on economic growth. Meanwhile, in the long term, the variable use of CO2 emission gas and the export variable has no effect on Indonesia’s economic growth. This finding shows that Indonesia’s economic growth is still determined by exports, but in the long term the government must work harder to increase its exports. In addition, export activities must not lead to the use of excessive CO2 emissions.

scholarly journals THE TESTING OF MONEY NEUTRALITY IN ECONOMIC GROWTH OF INDONESIA

2017 ◽  
Vol 1 (1) ◽  
pp. 12
Author(s):  
Muammil Sun’an ◽  
Amran Husen
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Output Growth ◽  
Broad Sense ◽  
Series Data ◽  
Analysis Tool ◽  
Real Sector ◽  
Short Term ◽  
Correction Model

<p>This study aim is to test the money neutrality in a narrow sense (M1) and a broad sense (M2) to the growth of output (GDP) in Indonesia, both in short term and long term. This research uses quarterly time series data at 2010 - 2016 periods. The analysis tool used is Error Correction Model (ECM). The results show that short-term money supply (M1 and M2) affect on output growth. However, in the long term, only money circulation in a broad sense (M2) affects on output growth, which also means that money is not neutral because it affects the real sector (GDP).</p><p> <strong>Keywords:</strong> M1, M2, Population, Capital, and Economic Growth.</p>

scholarly journals Analisis Peningkatan Upah Minimum Terhadap Penyerapan Tenaga Kerja di Provinsi Jawa Tengah

2021 ◽  
Vol 10 (3) ◽  
pp. 134-143
Author(s):  
Annisa Yulianti ◽  
Hadi Sasana
Keyword(s):  
Economic Growth ◽  
Minimum Wage ◽  
Time Series Data ◽  
Series Data ◽  
Short Term ◽  
Central Java ◽  
Meaningful Relationship ◽  
Short Time ◽  
Relationship Of

 This study aims to analyze the short-term and long-term relationship of increasing the minimum wage in Central Java on employment. The research method used is ECM. The variables of this study include labor, minimum wages, PMDN, and economic growth. The data used are time-series data from 1990-2020. The results show that the minimum wage has a positive and significant relationship to the employment in the long term but not significantly in the short time. PMDN has a negative but significant correlation in the short and long term. At the same time, the variable economic growth has a positive but not meaningful relationship to employment absorption in the long and short term.

Investigating the Causal Linkage Among Economic Growth, Energy Consumption and CO2 Emissions in Thailand: An Application of the Wavelet Coherence Approach

2020 ◽  
Vol 10 (1) ◽  
pp. 17-26 ◽  
Author(s):  
Tomiwa Sunday Adebayo ◽  
Gbenga Daniel Akinsola
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Time Series Data ◽  
Wavelet Coherence ◽  
Series Data ◽  
Energy Usage ◽  
Positive Correlation ◽  
Long Run ◽  
Growth Energy

The study aims to explore the causal linkage between CO2 emissions, economic growth and energy consumption in Thailand utilizing the wavelet coherence approach, conventional Granger and the Toda-Yamamoto causality techniques. In this study, In this study, time-series data spanning the period between 1971 and 2018 were used. No prior study has used the wavelet coherence approach to collect information on the association and causal interrelationship among these economic variables at different frequencies and timeframes in Thailand. The study objectives are structured to answer the following question: Does economic growth and energy consumption lead to CO2 emissions in Thailand?. The findings revealed that: (a) Changes in economic growth led to changes in CO2 emissions in Thailand at different frequencies (different scales) between 1971 and 2018. (b) A bidirectional causal relationship between CO2 emissions and energy consumption. (c) A positive correlation between CO2 emissions and energy usage in the short and long-run between 1971 and 2018. (d) A positive correlation between GDP growth and CO2 emissions in the short and long-run between 1971 and 2018. The study suggested that Thailand should initiate stronger policies towards enhancing the efficiency of energy and energy-usage programs to minimize unnecessary energy waste.

Empirical Analysis of the Relationship Between Energy Consumption, CO2 Emissions and Economic Growth in Tunisia

2017 ◽  
Vol 8 (2) ◽  
pp. 79-90 ◽  
Author(s):  
Sana Essaber Jouini ◽  
Etidel Labidi
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Time Series Data ◽  
Output Growth ◽  
Pollutant Emissions ◽  
Series Data ◽  
Causality Analysis ◽  
Significance Level ◽  
Long Run

This paper examines the long run and causal relationship issues between economic growth, energy consumption and carbon emissions by using vector error correction model for the case of Tunisia within 1970-2010. Empirical results using time series data suggest an evidence of a long-run relationship between the variables at 5% significance level in Tunisia. A Granger causality analysis is conducted amongst the variables. The overall results indicate bidirectional causality between energy consumption and CO2 emissions and a unidirectional causality running from pollutant emissions to economic growth. But there is no direct relation between energy consumption and economic growth. Thus, our results reveal that in short term energy conservation policies, such as rationing energy consumption have no effect on the real output growth of Tunisia.

scholarly journals The relationship between energy consumption, economic growth and carbon dioxide emissions in Pakistan

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Muhammad Kamran Khan ◽  
Muhammad Imran Khan ◽  
Muhammad Rehan
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Environmental Degradation ◽  
Carbon Dioxide Emissions ◽  
Time Series Data ◽  
Renewable Energy Sources ◽  
Series Data ◽  
Energy Sources

AbstractDeveloping countries are facing the problem of environmental degradation. Environmental degradation is caused by the use of non-renewable energy consumptions for economic growth but the consequences of environmental degradation cannot be ignored. This primary purpose of this study is to investigate the nexus between energy consumption, economic growth and CO2 emission in Pakistan by using annual time series data from 1965 to 2015. The estimated results of ARDL indicate that energy consumption and economic growth increase the CO2 emissions in Pakistan both in short run and long run. Based on the estimated results it is recommended that policy maker in Pakistan should adopt and promote such renewable energy sources that will help to meet the increased demand for energy by replacing old traditional energy sources such as coal, gas, and oil. Renewable energy sources are reusable that can reduce the CO2 emissions and also ensure sustainable economic development of Pakistan.

scholarly journals ANALISIS PENGARUH VARIABEL MAKROEKONOMI DAN COUNTRY RISK TERHADAP INVESTASI PORTOFOLIO ASING DI INDONESIA

2018 ◽  
Vol 7 (2) ◽  
pp. 135
Author(s):  
Halifah Hadi ◽  
Hasdi Aimon ◽  
Dewi Zaini Putri
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Country Risk ◽  
Growth Effect ◽  
Series Data ◽  
Short Term ◽  
Correction Model ◽  
The Stability

The reseach aims to explain the effect of country risk and variabels macroeconomics to the foreign portofolio invesment in Indonesia in short term and long term. The analysis takes time series time series data from 2006 quarter 1 through 2016 quarter 4by using Error Correction Model (ECM). The source of data are Badan Pusat Statistik, Bank Indonesia, FX Sauder and World Bank. The result are in the short term the exchange rate and economic growth effect the shock that will influence the foreign portofolio invesment. In the long trem the inflation, interst rate, money supply and country risk influence on foreign portofolio invesment significanly. The suggestion in this research is, the goverment sould keep the stability balance of payment in Indonesia .Any change, the condition of  balance of payments effect appreciation and depreciation to Rupiah. To increase the economic growth in Indonesia, goverment could increasing the fiscal income and PMDN realization that will  increase the enterprises productivity.

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 ANALISIS PENGARUH VARIABEL MAKRO EKONOMI TERHADAP INVESTASI ASING LANGSUNG (STUDY KASUS CHINA-INDONESIA).

2017 ◽  
Vol 6 (2) ◽  
pp. 103
Author(s):  
Ririn Martini Rezki ◽  
Yeniwati Yeniwati ◽  
Mike Triani
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Exchange Rate ◽  
Interest Rates ◽  
Direct Investment ◽  
Time Series Data ◽  
Least Square ◽  
Series Data ◽  
Short Term

This research to analyze the influence of macro economic variables impact on Chinese Foreign Direct Investment in Indonesia. The influence of China’s economic growth, Indonesia’s economic growth, interest rates, inflation and exchange rates against Foreign Direct Investment (FDI) China in Indonesia in the long term and short term. Type of this research is descriptive research, the secondary data use form time series data, from 2001Q1 – 2016Q4, taken  from agencies and related institution, the analysis using the Ordinary Least Square (OLS) and Error Correction Model (ECM) to see the influence in a long term and impact in the short term. This research show that Indonesia’s economic growth of China’s economic growth and inflation is have a significant effect in the long term Chinas’s FDI in Indonesia. Variable economic growth of Indonesia’s, interest rates, inflation, exchange rate in the short term influence China’s Foreign Direct Investment in Indonesia. How ever in the long term interest rates and exchange rate do not influence significantly, to China’s FDI in Indonesia.

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