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.

Financial development, FDI and economic growth: evidence from Sudan

2018 ◽  
Vol 45 (8) ◽  
pp. 1236-1249 ◽  
Author(s):  
Abdalla Sirag ◽  
Samira SidAhmed ◽  
Hamisu Sadi Ali
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Financial Development ◽  
Unit Root ◽  
Structural Break ◽  
Ordinary Least Squares ◽  
Series Data ◽  
Content Type ◽  
Long Run ◽  
Cointegration Tests

Purpose The effect of foreign direct investment (FDI) on economic growth is widely believed to be contingent on the development of the financial sector. Nevertheless, as the possibility that the effect of financial development on growth being contingent on FDI has been neglected in existing literature, the authors have investigated it in this paper. In general, the purpose of this paper is to examine the effect of financial development and FDI on economic growth in Sudan using annual data from 1970 to 2014. Design/methodology/approach Since most of the macroeconomic variables are subject to unit root problem, the time series data are assessed using unit root and cointegration tests with/without structural break. Moreover, the study uses the fully modified ordinary least squares and the dynamic ordinary least squares techniques to estimate the long-run model. Findings The results of the cointegration tests provide evidence that a long-run relationship exists among variables even after accounting for the structural break. The results show that financial development and FDI are positive and significant in explaining economic growth in Sudan. Financial development is found to be more beneficial to economic growth than FDI. Moreover, the findings reveal that FDI leads to better economic performance through financial development. Interestingly, the findings of the study show that the effect of financial development on economic growth is further enhanced by the inflows of FDI. Research limitations/implications The government should focus on promoting FDI in more productive sectors. In addition, further cooperation with multinational enterprises is needed to increase FDI in the country. Originality/value This is the first paper that empirically examines both the interlinked impact of FDI on growth through financial development and the impact of financial development on economic growth through FDI in Sudan using appropriate econometric methods.

Investigating the interlinkages between infrastructure development, poverty and rural–urban income inequality

2017 ◽  
Vol 34 (4) ◽  
pp. 466-484 ◽  
Author(s):  
Varun Chotia ◽  
N.V.M. Rao
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Poverty Reduction ◽  
Ordinary Least Squares ◽  
Infrastructure Development ◽  
Content Type ◽  
Long Run ◽  
Integration Test ◽  
Urban Income ◽  
The Relationship

Purpose The purpose of this paper is to investigate the relationship between infrastructure development, rural–urban income inequality and poverty for BRICS economies. Design/methodology/approach Pedroni’s panel co-integration test and panel dynamic ordinary least squares (PDOLS) have been used to carry out the analysis. Findings The empirical findings confirm a long-run relationship among infrastructure development, poverty and rural–urban inequality. The PDOLS results suggest that both infrastructure development and economic growth lead to poverty reduction in BRICS. However, rural–urban income inequality aggravates poverty in these nations. The paper advocates for adopting policies aimed at strengthening infrastructure and achieving economic growth to reduce the current levels of poverty prevailing in the BRICS nations. Originality/value Significant limitations exist in the literature in terms of not clearly defining the nature of relationship and interlinkages between infrastructure development, poverty and inequality, with regard to the BRICS nations. The available studies mainly focus on the relationship between infrastructure and growth, with the universal agreement being that these two are positively related. However, it is still not right to assume that economic growth attributable to infrastructure development will, therefore, subsequently lead to a reduction in inequality. This forms the basis for this study, that is, to critically examine the relationship between infrastructure development, inequality and poverty for BRICS nations.

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 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 The human capital–economic growth nexus in SSA countries: what can strengthen the relationship?

2020 ◽  
Vol 47 (9) ◽  
pp. 1143-1159
Author(s):  
Roseline Tapuwa Karambakuwa ◽  
Ronney Ncwadi ◽  
Andrew Phiri
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Least Squares ◽  
Ordinary Least Squares ◽  
African Countries ◽  
Content Type ◽  
Econometric Approach ◽  
The Impact ◽  
The Relationship ◽  
Ssa Countries

PurposeThe purpose of this study is to examine the impact of human capital on economic growth for a selected sample of nine SSA countries between 1980 and 2014 using a panel econometric approach.Design/methodology/approachThe authors estimate a log-linearized endogenous using the fully modified ordinary least squares (FMOLS) and the dynamic ordinary least squares (POLS) applied to our panel data time series.FindingsThe empirical analysis shows an insignificant effect of human capital on economic growth for our selected sample. These findings remain unchanged even after adding interactive terms to human capital, which are representatives of government spending as well as foreign direct investment. Nevertheless, the authors establish a positive and significant effect of the interactive term between urbanization and human capital on economic growth.Practical implicationsThe results emphasize the need for African policymakers to develop urbanized, “smart”, technologically driven cities within the SSA region as a platform toward strengthening the impact of human capital-economic growth relationship.Originality/valueThis study becomes the first in the literature to validate the human capital–urbanization–growth relationship for African countries.

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.

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).

scholarly journals Re-visiting the renewable energy–economic growth nexus

2017 ◽  
Vol 11 (3) ◽  
pp. 387-403 ◽  
Author(s):  
Oluwafisayo Alabi ◽  
Ishmael Ackah ◽  
Abraham Lartey
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Ordinary Least Squares ◽  
Renewable Energy Consumption ◽  
Content Type ◽  
Dynamic Relationship ◽  
Long Run ◽  
Short Run ◽  
Opec Member ◽  
The Relationship

Purpose This paper aims to investigate the dynamic relationship between renewable energy and economic growth in African OPEC member countries (Angola, Algeria and Nigeria). Design/methodology/approach The fully modified ordinary least squares technique for heterogeneous cointegrated panels (Pedroni, 2000) is used to estimate the parameters of the model. Findings The study revealed four main findings. First, there is a bidirectional causality between renewable energy and economic growth in the long and the short run. Second, a bidirectional causality exists between non-renewable energy and economic growth in the short and long run. Third, a bidirectional causality exists between CO2 emissions and economic growth. Fourth, a unidirectional causality was also found between CO2 emissions and non-renewable energy consumption with the direction of causality stemming from the consumption of non-renewable energy to CO2 emissions. Practical implications Because renewable consumption enhances growth, OPEC-member Africa countries should encourage investment in modern renewable sources that has high conversion efficiency such as solar, wind and hydro to strengthen their response to mitigating the impacts of climate change. Originality/value This study applies multiple methods to analyze the relationship between renewable energy and economic growth in African OPEC countries.

A CONTEMPORARY RE-EXAMINATION OF MALAYSIA’S ECONOMIC GROWTH: THE ISSUES OF EQUITY, EFFICIENCY AND LIBERALIZATION

2017 ◽  
Vol 62 (02) ◽  
pp. 509-530 ◽  
Author(s):  
AZFAR HILMI BAHARUDIN ◽  
YAP SU FEI
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Least Squares ◽  
Financial Development ◽  
Direct Investment ◽  
Positive Relationship ◽  
Empirical Investigation ◽  
Ordinary Least Squares ◽  
Statistical Relationship ◽  
Long Run

This paper is an empirical investigation on economic growth for Malaysia, with focus on income inequality, foreign direct investment (FDI), financial development and trade. Co-integrating regression procedures namely, fully modified ordinary least squares (FMOLS), canonical co-integrating regression (CCR) and dynamic ordinary least squares (DOLS) were employed. Positive relationship between growth with financial development and trade are found to be consistent across all estimations. Income inequality on the other hand though negative, does not seem to exhibit robust significant statistical relationship with growth. The orders of integration for variables used have been demonstrated to be governed such that a long-run relationship prevails.

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