scholarly journals Effect of Economic Growth, Industrialization, Population Growth, and Renewable Energy on CO2 Emissions in the Long and Short Term in ASEAN 5

2021 ◽  
Vol 04 (07) ◽  
Author(s):  
Adhy Satya Pratama ◽  
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Panel Data ◽  
Population Growth ◽  
Co2 Emissions ◽  
Economic Activity ◽  
Trade Flows ◽  
Short Term ◽  
The Relationship

This study aims to see the dynamic pattern of the relationship between CO2 emissions and economic growth, industrialization, population growth, and renewable energy in the long and short term in ASEAN 5 countries, namely Indonesia, Malaysia, Thailand, Philippines and Singapore. ASEAN is a region of countries that have the potential for natural resources and high economic activity as well as being a strategic area in global trade flows. In addition, the ASEAN region, especially ASEAN 5, has a fairly rapid capacity and socio-economic activity so that its mobility is important to note. The VECM method is used to determine this objective by using panel data sourced from the Worldbank. The results of the analysis show that in the long term, population growth and consumption of renewable energy significantly affect CO2 emissions in the ASEAN 5 region. Meanwhile, in the short term, industrialization and consumption of renewable energy significantly affect CO2 emissions in the ASEAN region 5.

scholarly journals The Impact of Economic Growth, Trade Openness and Technological Progress on Renewable Energy Use in Organization for Economic Co-Operation and Development Countries

2021 ◽  
Author(s):  
Md. Mahmudul Alam ◽  
Wahid Murad
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Least Squares ◽  
Technological Progress ◽  
Energy Use ◽  
Trade Openness ◽  
Oecd Countries ◽  
Ordinary Least Squares ◽  
Short Term

This study investigates the short-term and long-term impacts of economic growth, trade openness and technological progress on renewable energy use in Organization for Economic Co-operation and Development (OECD) countries. Based on a panel data set of 25 OECD countries for 43 years, we used the autoregressive distributed lag (ARDL) approach and the related intermediate estimators, including pooled mean group (PMG), mean group (MG) and dynamic fixed effect (DFE) to achieve the objective. The estimated ARDL model has also been checked for robustness using the two substitute single equation estimators, these being the dynamic ordinary least squares (DOLS) and fully modified ordinary least squares (FMOLS). Empirical results reveal that economic growth, trade openness and technological progress significantly influence renewable energy use over the long-term in OECD countries. While the long-term nature of dynamics of the variables is found to be similar across 25 OECD countries, their short-term dynamics are found to be mixed in nature. This is attributed to varying levels of trade openness and technological progress in OECD countries. Since this is a pioneer study that investigates the issue, the findings are completely new and they make a significant contribution to renewable energy literature as well as relevant policy development.

scholarly journals Bootstrap ARDL Test on the Relationship among Trade, FDI and CO2 Emissions: Based on the Experience of BRICS Countries

2019 ◽  
Author(s):  
Fumei He ◽  
Ke-Chiun Chang ◽  
Min Li ◽  
Xueping Li ◽  
Fangjhy Li
Keyword(s):  
Foreign Direct Investment ◽  
Causal Relationship ◽  
Co2 Emissions ◽  
Direct Investment ◽  
Export Trade ◽  
Short Term ◽  
Brics Countries ◽  
The Relationship ◽  
Cointegration Relationship

We used the Bootstrap ARDL method to test the relationship between the export trades, FDI and CO2 emissions of the BRICS countries. We found that China's foreign direct investment and the lag one period of CO2 emissions have a cointegration on exports. South Africa's foreign direct investment and CO2 emissions have a cointegration relationship with the lag one period of exports, and South Africa's the lag one period of exports and foreign direct investment have a cointegration relationship with the lag one period of CO2 emissions. But whether it is China or South Africa, these three variables have no causal relationship in the long-term. Among the variables of other BRICS countries, Russia is the only country showed degenerate case #1 in McNown et al. mentioned in their paper. When we examined short-term causality, we found that CO2 emissions and export trade showed a reverse causal relationship, while FDI and carbon emissions were not so obvious. Export trade has a positive causal relationship with FDI. Those variables are different from different situations and different countries.

scholarly journals The relationship between renewable energy and sustainable development in Indonesia

2021 ◽  
Vol 922 (1) ◽  
pp. 012034
Author(s):  
G Syamni ◽  
Wardhiah ◽  
Zulkifli ◽  
M J A Siregar ◽  
Y A Sitepu
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Secondary Data ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Short And Long Term ◽  
The Relationship ◽  
Positive Effect

Abstract This paper is conducted to examine the relationship between the use of renewable energy and FDI in Indonesia. The data used in this study is secondary data that has been published by the World Bank and accessed in www.Data.worldbank.org. periode 2004-2019. The data analysis method used is the autoregressive distributed lag (ARDL) method. The results of the study found that the use of renewable energy in the short and long term has a positive effect on Indonesia’s economic growth. Meanwhile, the same thing is also shown from the FDI variable in the short term and long term which has a significant positive effect on economic growth and has a positive effect on economic growth. Finally, with this finding, it is concluded that both the short and long term the Indonesian government needs to make a breakthrough to explore renewable energy sources for economic growth.

scholarly journals ANALYSIS OF ECONOMIC ON ENVIRONMENTAL DEGRADATION IN INDONESIA

2021 ◽  
pp. 251
Author(s):  
Rahardyan Haris Yuswinarto ◽  
Edy Yusuf Agung Gunanto
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Environmental Degradation ◽  
Short Term ◽  
Gas Emissions ◽  
Co2 Gas ◽  
Negative Effect ◽  
Short And Long Term ◽  
Dynamic Time

Environmental degradation occurs is influenced by economic growth and the means of transportation that support it, besides that, the population size also affects the occurrence of environmental degradation. This study aims to determine the effect of economic growth, population growth and total of transportation on environmental degradation in short and long term. This research uses dynamic time series autoregressive distribution lag method. The results showed that the gross domestic product (GDP) variable had a significant positive effect in increasing CO2 gas emissions both in the short and long term. The variable amount of transportation has a positive and insignificant effect on the increase in CO2 gas emissions in the short term and has a negative effect in the long term. Meanwhile, population growth variable has a positive and significant effect in the short term and negative and significant in the long term.

scholarly journals Analysis of Spatial Effects in the Relationship between CO2 Emissions and Renewable Energy Consumption in the Context of Economic Growth

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5829
Author(s):  
Mateusz Jankiewicz ◽  
Elżbieta Szulc
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Environmental Protection ◽  
Co2 Emissions ◽  
Indirect Effects ◽  
Renewable Energy Consumption ◽  
Spatial Spillovers ◽  
Spatio Temporal ◽  
The Relationship

The paper presents a spatial approach to the analysis of the relationship between air pollution, economic growth, and renewable energy consumption. The economic growth of every country is based on the energy consumption that leads to an increase in national productivity. Using renewable energy is very important for the environmental protection and security of the earth’s resources. Promoting environmentally friendly operations increases awareness of sustainable development, which is currently a major concern of state governments. In this study, we explored the influence of economic growth and the share of renewable energy out of total energy consumption on CO2 emissions. The study was based on the classical environmental Kuznets curve (EKC) and enriched with the spatial dependencies. In particular, we determined the spatial spillovers in the form of the indirect effects of changes in renewable energy consumption of a specific country on the CO2 emissions of neighboring countries. A neighborhood in this study was defined by ecological development similarity. The neighborhood matrix was constructed based on the values of the ecological footprint measure. We used the spatio-temporal Durbin model, with which the indirect effects were determined in relation to the spatially lagged renewable energy consumption. The results of our study also show the strength of the effects caused by imitating actions from the states with high levels of environmental protection. The study was conducted using data for 75 selected countries from the period of 2013–2019. Cumulative spatial and spatio-temporal effects allowed us to determine (1) the countries with the greatest impact on others and (2) the countries that follow the leading ones.

scholarly journals Corruption and Economic Growth in Nigeria (1980-2013)

2015 ◽  
Vol 14 (4) ◽  
pp. 1 ◽  
Author(s):  
Ibrahim W ◽  
Okunade A Sheu
Keyword(s):  
Economic Growth ◽  
Social Economic ◽  
Human Life ◽  
Economic Value ◽  
Party Affiliation ◽  
Short Term ◽  
Political Will ◽  
The Social ◽  
The Relationship

Corruption is as aged as the existence of man and it exists in all sphere of human life. The  persistency  of  corruption  erodes  the  social  economic  value  of  a  nation. The study investigates the relationship between corruption and economic growth in Nigeria, in the period 1980-2013, using the VAR analysis. The study finds the existence of long-term relationship between corruption and unemployment growth on the economic growth of Nigeria. Also, the study found no short-term relationship in corruption and unemployment on economic growth. Hence, the result in the analysis shows that corruption positively has a strong influence on the output of Nigeria. So the rise in growth rate experienced in Nigeria is influenced by high corruption rate in the country, which is making the few rich to be richer, eradicating the middle class and making the poor to be poorer. Therefore, there is a need to develop political will to prosecute anyone found guilty of corruption irrespective of their position, tribe, religion or party affiliation. Such a punishment would also serve as a deterrent to others and help improve real economic growth and development.

scholarly journals Another Look into the Relationship between Economic Growth, Carbon Emissions, Agriculture and Urbanization in Thailand: A Frequency Domain Analysis

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5132
Author(s):  
Mário Nuno Mata ◽  
Seun Damola Oladipupo ◽  
Rjoub Husam ◽  
Joaquim António Ferrão ◽  
Mehmet Altuntaş ◽  
...  
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Frequency Domain ◽  
Co2 Emissions ◽  
Frequency Domain Analysis ◽  
Causal Connection ◽  
Causality Test ◽  
Macroeconomic Indicators ◽  
The Relationship

This empirical study assesses the effect of CO2 emissions, urbanization, energy consumption, and agriculture on Thailand’s economic growth using a dataset between 1970 and 2018. The ARDL and the frequency domain causality (FDC) approaches were applied to assess these interconnections. The outcome of the bounds test suggested a long-term association among the variables of investigation. The ARDL outcomes reveal that urbanization, agriculture, energy consumption, and CO2 emissions positively trigger Thailand’s economic growth. Additionally, the frequency domain causality test was used to detect a causal connection between the series. The main benefit of this technique is that it can detect a causal connection between series at different frequencies. To the understanding of the authors, this is the first study in the case of Thailand that will apply the FDC approach to capture the causal linkage between GDP and the regressors. The outcomes of the causality test suggested that CO2 emissions, urbanization, energy consumption, and agriculture can predict Thailand’s economic growth in the long term. These outcomes have far-reaching implications for economic performance and Thailand’s macroeconomic indicators.

scholarly journals Dynamic Effects of Foreign Portfolio Investment on Economic Growth in Nigeria

2020 ◽  
Vol 4 (3) ◽  
pp. 5-12
Author(s):  
O.W. Toyin ◽  
Ad. E. Oludayol
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Foreign Investment ◽  
Domestic Product ◽  
Distributed Model ◽  
Short Term ◽  
Foreign Portfolio Investment ◽  
Domestic Savings ◽  
The Relationship

The slow growth rate and the deficit of full-fledged financial security have created the preconditions for studying the relationship between foreign investment and economic growth. In previous literature, key emphases on this issue were studied in the short term and in terms of static functioning of the economy. Thus, this article purposely studied the dynamic nature of the development of the relationship between foreign investment and economic growth in Nigeria from 1980 to 2018. The use of the Augmented-Dickey Fuller test confirmed the precondition for adopting dynamic techniques to test the significant role of foreign portfolio investment (among other analyzed factors – domestic savings, government capital expenditures, market capitalization) in the formation of gross domestic product. The use of the lag selection method allowed to determine the optimal lag for estimating the autoregressive distributed model, which substantiates the effectiveness and reliability of the autoregressive distributed lag model. The information base of the study was the statistical bulletin of the Central Bank of Nigeria. The results of empirical estimations in the short term showed that domestic savings had significant and negative impact on gross domestic product. The study empirically confirms and theoretically proves that foreign investment, domestic savings, government spending and market capitalization determine long-term trends in gross domestic product formation in Nigeria. Practically, the empirical result revealed that the presence of a significant deficit of domestic savings in Nigeria creates obstacles to successful economic growth in the country both in the short and long term; portfolio foreign investment accelerates economic growth in the long run to a greater extent than in the short run. Keywords: autoregressive distributed model, Dickie-Fuller test, economic growth, foreign investment, double gap theory.

scholarly journals An Empirical Analysis of the Link between Economic Growth and Exports in Côte d’Ivoire

2019 ◽  
Vol 12 (9) ◽  
pp. 94
Author(s):  
Daouda Coulibaly ◽  
Fulgence Zran Goueu
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Causal Relationship ◽  
Empirical Analysis ◽  
Annual Data ◽  
Short Term ◽  
Causality Test ◽  
Long Run ◽  
The Relationship

This paper aims to analyze the relationship between exports and economic growth in Côte d’Ivoire. In order to achieve this objective, annual data for the period 1960-2017 were tested by using the cointegration approach of Pesaran, Shin and Smith, including the causality test of Breitung and Schreiber. According to our analysis it is only exports that drive economic growth and not the opposite. Exports act positively and significantly on economic growth in the short term as well as in the long term. The causality test of Breitung and schreiber indicates a one-way long-run causal relationship ranging from exports to gross domestic product (GDP). All those results show that exports are a source of Ivorian economic growth.

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