scholarly journals The Balanced Energy Mix for Achieving Environmental and Economic Goals in the Long Run

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3850
Author(s):  
Anh Hoang To ◽  
Duc Hong Vo
Keyword(s):  
Least Squares ◽  
Fossil Fuels ◽  
Oecd Countries ◽  
Ordinary Least Squares ◽  
Energy Sources ◽  
Scoring Method ◽  
Energy Mix ◽  
Long Run ◽  
Balanced Structure ◽  
Environmental Goals

In this paper, we seek to find a balanced structure of energy sources that can simultaneously achieve two essential goals: (i) the environmental (degradation) goal and (ii) the economic (growth) goal. This study combines quantitative and qualitative methods to estimate and then rank each of the energy sources (including coal, gas, oil, hydropower, and renewable energy) to achieve the above two goals. This paper uses the weighted scoring method, the most popular method in multi-criteria decision-making techniques, to combine the rankings using five energy sources and two goals from panel data of 28 countries from Organization for Economic Co-operation and Development (OECD) countries for the period 1980–2017. Techniques for estimating the mean group long-run effect, including fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS), are used. The empirical findings of this paper reveal that, in the long term, in achieving both environmental goals and economic goals, the OECD countries should consider adopting a balanced energy mix in which the following structure is preferred: (i) hydropower, (ii) renewables and (iii) fossil fuels (oil, gas, coal).

The role of ICT infrastructure, innovation and globalization on economic growth in OECD countries, 1996-2017

2020 ◽  
Vol 11 (2) ◽  
pp. 193-215 ◽  
Author(s):  
Meta Ayu Kurniawati
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Forecast Error ◽  
Rapid Development ◽  
Oecd Countries ◽  
Ordinary Least Squares ◽  
Infrastructure Development ◽  
Content Type ◽  
Long Run ◽  
Ict Infrastructure

Purpose The rapid development of information and communication technology (ICT) over the past decade has enabled heterogeneous economic sectors to be more integrated, leading to a significant effect on nation’s growth across OECD countries. The objective of this study is to estimate the short run and long run inter-linkages among ICT, innovation technology, globalization, and economic growth for the period 1996-2017 in OECD countries. Design/methodology/approach This research provides some sophisticated methodologies by using principal component analysis to construct ICT and innovation indices and follow up by employing the panel cointegration test, pooled mean group regression, fully modified ordinary least squares and dynamic ordinary least squares as sophisticated estimation techniques, panel Granger causality and forecast error variance decomposition to examine the robustness of the causal association in the findings. Findings The empirical results herein suggest that ICT, innovation and globalization positively contribute to economic growth, while the causality findings reveal strong endogenous relationships among both ICT mobile and internet use, innovation development, globalization and economic growth in both short and long run. The findings further imply that OECD countries have yet to promote economic growth from ICT infrastructure expansion, the enlargement of technology innovation and the spread of globalization. Practical implications The particular policy recommendation is to reinforce the investment and establishment of a reliable ICT infrastructure as well as innovation technology to create sustained economic growth in this progressively interconnected world. Originality/value This study is valuable from policy and decision-makers’ perspective, as it highlights the significance of ICT infrastructure development, innovation enlargement and globalization to elevate the economic growth in OECD countries.

scholarly journals PANEL COINTEGRATION: LONG-RUN RELATIONSHIP BETWEEN INTERNET, ELECTRICITY CONSUMPTION AND ECONOMIC GROWTH. EVIDENCE FROM OECD COUNTRIES

2018 ◽  
Vol 77 (303) ◽  
pp. 161 ◽  
Author(s):  
Dervis Kirikkaleli ◽  
Abderrahmane Sokri ◽  
Mehmet Candemir ◽  
Hasan Murat Ertugrul
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Electricity Consumption ◽  
Panel Cointegration ◽  
Oecd Countries ◽  
Ordinary Least Squares ◽  
Long Run ◽  
Causality Tests

<p>The linkage between electricity consumption, internet demand and economic growth is aimed to investigate in this study in 35 OECD countries for the period 1993-2014. Panel cointegration, Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS) and Dumitrescu-Hurlin causality tests were performed to capture the potential long-run and causal linkages among the three variables. The findings from the FMOLS and DOLS models indicate a positive linkage between electricity, internet demand and economic growth in the long-run. Results from the Dumitrescu-Hurlin causality confirm feedback causality between electricity consumption and internet demand and unilateral causality running from economic growth to electricity consumption.</p>

scholarly journals Analysis of the New Kuznets Relationship: Considering Emissions of Carbon, Methanol, and Nitrous Oxide Greenhouse Gases—Evidence from EU Countries

2021 ◽  
Vol 18 (6) ◽  
pp. 2907
Author(s):  
Mara Madaleno ◽  
Victor Moutinho
Keyword(s):  
Nitrous Oxide ◽  
Least Squares ◽  
Fixed Effects ◽  
Ghg Emissions ◽  
Ordinary Least Squares ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Long Run ◽  
Short Run ◽  
The Eu

Decreased greenhouse gas emissions (GHG) are urgently needed in view of global health threat represented by climate change. The goal of this paper is to test the validity of the Environmental Kuznets Curve (EKC) hypothesis, considering less common measures of environmental burden. For that, four different estimations are done, one considering total GHG emissions, and three more taking into account, individually, the three main GHG gases—carbon dioxide (CO2), nitrous oxide (N2O), and methane gas (CH4)—considering the oldest and most recent economies adhering to the EU27 (the EU 15 (Old Europe) and the EU 12 (New Europe)) separately. Using panel dynamic fixed effects (DFE), dynamic ordinary least squares (DOLS), and fully modified ordinary least squares (FMOLS) techniques, we validate the existence of a U-shaped relationship for all emission proxies considered, and groups of countries in the short-run. Some evidence of this effect also exists in the long-run. However, we were only able to validate the EKC hypothesis for the short-run in EU 12 under DOLS and the short and long-run using FMOLS. Confirmed is the fact that results are sensitive to models and measures adopted. Externalization of problems globally takes a longer period for national policies to correct, turning global measures harder and local environmental proxies more suitable to deeply explore the EKC hypothesis.

scholarly journals The Impact of Industrialization, Trade Openness, Financial Development, and Energy Consumption on Economic Growth in Indonesia

Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 174
Author(s):  
Khalid Eltayeb Elfaki ◽  
Rossanto Dwi Handoyo ◽  
Kabiru Hannafi Ibrahim
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Least Squares ◽  
Financial Development ◽  
Correction Term ◽  
Trade Openness ◽  
Ordinary Least Squares ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact

This study aimed to scrutinize the impact of financial development, energy consumption, industrialization, and trade openness on economic growth in Indonesia over the period 1984–2018. To do so, the study employed the autoregressive distributed lag (ARDL) model to estimate the long-run and short-run nexus among the variables. Furthermore, fully modified ordinary least squares (FMOLS), dynamic least squares (DOLS), and canonical cointegrating regression (CCR) were used for a more robust examination of the empirical findings. The result of cointegration confirms the presence of cointegration among the variables. Findings from the ARDL indicate that industrialization, energy consumption, and financial development (measured by domestic credit) positively influence economic growth in the long run. However, financial development (measured by money supply) and trade openness demonstrate a negative effect on economic growth. The positive nexus among industrialization, financial development, energy consumption, and economic growth explains that these variables were stimulating growth in Indonesia. The error correction term indicates a 68% annual adjustment from any deviation in the previous period’s long-run equilibrium economic growth. These findings provide a strong testimony that industrialization and financial development are key to sustained long-run economic growth in Indonesia.

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 Determinants of Credit Risk in the Banking Sector of Ghana: A Panel Co-integration Approach

2020 ◽  
Vol 5 (4) ◽  
Author(s):  
Thomas Appiah ◽  
Frank Bisiw
Keyword(s):  
Credit Risk ◽  
Least Squares ◽  
Banking Sector ◽  
Ordinary Least Squares ◽  
Capital Adequacy ◽  
High Rate ◽  
Long Run ◽  
Integration Techniques ◽  
The Government ◽  
The Impact

The economic development of any nation hinges on the health of its financial system. In recent years, the health of the Ghanaian Banking sector has been affected severely as a result of high levels of non-performing loans (NPLs), which has been identified as a major threat to the overall profitability and survival of banks. To minimize the impact of NPLs on the financial sector, key stakeholders such as the government, bank officials and regulators are working hard in that regard. However, any policy response aimed at dealing with the high rate of non-performing loans first requires the understanding of the underlying determinants of NPLs. Against this backdrop, this paper apply panel co-integration techniques to investigate the determinants of credit risk (NPLs) in the banking sector of Ghana.  We use NPL as a proxy to measure credit risk and assess how it is influenced by macroeconomic and bank-specific factors. A balanced panel data of 16 universal banks in Ghana from 2010 to 2016 has been analyzed using Panel co-integration techniques such as Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS). Our result shows that growth in the economy, measured by Gross Domestic Product (GDP) has significant influence on the NPLs of banks in the long-run. The results further revealed that capital adequacy, profitability and liquidity of banks are significant predictors of NPLs. However, our results suggest that bank size, inflation and interest rate have statistically insignificant influence on the NPLs of Ghanaian banks. The study recommend, among others, that whereas it is important for government and policymakers to work to improve macroeconomic outcomes, banks should also improve their capital adequacy, profitability, and efficiency position as these bank-specific interventions could significantly improve credit quality and minimize NPLs.

scholarly journals THE EFFECT OF SAVING AND CAPITAL EXPANSION ON FINANCIAL AND TECHNOLOGICAL DEVELOPMENT IN GCC COUNTRIES

2021 ◽  
Vol 0 (0) ◽  
pp. 1-25
Author(s):  
Faris Alshubiri
Keyword(s):  
Least Squares ◽  
Financial Development ◽  
Technological Development ◽  
National Income ◽  
Ordinary Least Squares ◽  
Growth Strategy ◽  
Causality Test ◽  
Gcc Countries ◽  
Causal Direction ◽  
Long Run

This study examined the effect of the relationship between saving and capital expansion on financial and technological development in three GCC countries using panel data from 1990 to 2019. The study used panel least squares, feasible general least squares, dynamic ordinary least squares and fully modified ordinary least squares used in the study. The findings showed that there was a significant positive long-run relationship between capital expansion and financial development and was a positive and insignificant long-run relationship between saving and financial development. Conversely, the study showed that there was a significant positive long-run relationship between saving and technological development. Meanwhile, there was a negative long-run relationship between capital expansion and technological development. Pairwise Granger causality test results showed that there was bidirectional causality between saving and financial development, a single causal direction from Adjusted net national income and financial development and a single causal direction from technological development and saving and Inflation, consumer prices. The main conclusions of the study were saving tends to support technological development, while investment tends to improve financial development. Therefore, GCC countries should formulate a long-term growth strategy in all sectors to determine their development requirements in light of the available resources.

The relationship between foreign aid and corruption: a case of selected Asian countries

2019 ◽  
Vol 26 (3) ◽  
pp. 692-704
Author(s):  
Muhammad Ali ◽  
Lubna Khan ◽  
Amna Sohail ◽  
Chin Hong Puah
Keyword(s):  
Least Squares ◽  
Foreign Aid ◽  
Negative Impact ◽  
Panel Cointegration ◽  
Ordinary Least Squares ◽  
Foreign Assistance ◽  
Asian Countries ◽  
Causality Test ◽  
Content Type ◽  
Long Run

Purpose The purpose of this study is to examine the effect of foreign aid (FA) on corruption in selected Asian countries (Pakistan, India, Srilanka and Bangladesh) using the panel data from 2000 to 2014. Design/methodology/approach The author used Levin-Lin-Chu and Im-Pesaran-Shin panel unit root tests to check the stationary properties of the variables. The Pedroni’s and Kao panel cointegration approach was applied to analyze the variable’s long-run relationship. The author used panel dynamic ordinary least squares (PDOLS) and fully modified ordinary least squares (FMOLS) framework to estimate the coefficients of cointegrating vectors. Additionally, the panel granger causality test was performed to check the causal relationship between the variables. Findings The results from PDOLS and FMOLS indicate that FA has a significant negative impact on the level of corruption. This infers that the foreign assistance decrease the level of corruption perception index, hence, more corruption in the country. Originality/value Overall, the study fulfills the need to understand the aid-corruption nexus, particularly in the case of the Asian region.

Investigation of Socioeconomic Determinants on Child Death in South Asian Countries: A Panel Cointegration Analysis

2020 ◽  
pp. 003022282091502
Author(s):  
Shazia Kousar ◽  
Aiza Shabbir ◽  
Rukia Shafqat
Keyword(s):  
Income Inequality ◽  
Socioeconomic Factors ◽  
Least Squares ◽  
Child Mortality ◽  
South Asian ◽  
Health Expenditure ◽  
Ordinary Least Squares ◽  
Asian Countries ◽  
Long Run ◽  
The Relationship

This article is aimed to examine the relationship between socioeconomic factors and child mortality in South Asia because the relationship between child mortality and socioeconomic factors cannot be overlooked for better progress. Panel data were obtained from (World Development Indicators) and (Human Development Index) for the period 1990–2017. The data were quantitative. Levin, Lin, and Chu and I’m, Pesaran, and Shin test were used to check the stationarity of data. A cointegration test was applied to check the long-run association. Granger causality test was used to determine the direction of the relationship. Fully modified ordinary least squares and dynamic ordinary least squares techniques were used to examine the long-run and short-run impact of socioeconomic determinants on child mortality. The findings from this study showed the significant impact of education, unemployment, and health expenditure, access to improved water and sanitation facilities, and income inequality on child mortality. Overall results showed that there is a negative association between education and child mortality, access to improved water and access to sanitation facilities and child mortality, and health expenditure and child mortality, but there is a positive association between unemployment and income inequality with child mortality. The rate of child mortality is still very alarming in South Asian countries.

Correlations between energy consumption per capita, growth rate, industrialisation, trade volume and urbanisation: the case of Turkey

2018 ◽  
Vol 4 (10) ◽  
pp. 118-127
Author(s):  
Funda Yurdakul
Keyword(s):  
Growth Rate ◽  
Energy Consumption ◽  
Least Squares ◽  
Ordinary Least Squares ◽  
Trade Volume ◽  
Long Run ◽  
Turkish Economy ◽  
Equilibrium Relationship ◽  
Per Capita ◽  
Relationship Of

This study examines the relationship of energy consumption per capita with growth rate, industrialisation, trade volume and urbanisation in Turkish economy throughout the 1980–2015 period using the Engle-Granger, Fully modified ordinary least squares (FMOLS), canonical cointegration regression (CCR) and dynamic ordinary least squares (DOLS) methods. Analysis results revealed a long-run equilibrium relationship between the change in energy consumption per capita and growth rate, industrialisation, trade volume and urbanisation. Urbanisation, industrialisation, growth rate and trade volume positively influence the change in energy consumption per capita. Keywords: Energy consumption, Engle-Granger method, fully modified ordinary least squares (FMOLS) method, canonical cointegration regression (CCR), dynamic ordinary least squares (DOLS) method.

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