Energy consumption and growth in South Asia: evidence from a panel error correction model

2015 ◽  
Vol 9 (3) ◽  
pp. 295-310 ◽  
Author(s):  
Harishankar Vidyarthi

Purpose The purpose of the paper is to empirically examine the relationship between energy consumption and economic growth for a panel of five South Asian economies, namely, India, Pakistan, Bangladesh, Sri Lanka and Nepal over the period from 1971 to 2010 within a multivariate framework. Design/methodology/approach The study uses Pedroni cointegration and Granger causality test based on panel vector error correction model to examine long-run equilibrium relationship and direction of causation in the short and long run between energy consumption and economic growth using energy inclusive Cobb–Douglas production function for a panel of five South Asia countries, namely India, Pakistan, Bangladesh, Sri Lanka and Nepal. Findings Pedroni’s panel cointegration test indicates the long-run equilibrium relationship between economic growth per capita, energy consumption per capita and real gross fixed capital formation per capita for panel. Further, 1 per cent increase in energy consumption per capita increases the gross domestic product (GDP) per capita by 0.8424 per cent for the panel. Causality results suggest bidirectional causality between energy consumption per capita, gross fixed capital formation per capita and GDP per capita in the long run and unidirectional causality running from energy consumption per capita and gross fixed capital formation per capita to GDP per capita in the short run. Practical implications These South Asian countries should implement an expansionary energy policies through improving the energy infrastructure, energy efficiency measures and exploiting massive renewables’ availability for low-cost, affordable clean energy access for all, especially in the yet unserved rural and remote areas for further stimulating economic growth. Originality/value Implementing energy efficiency measures and massive renewables development (wind, solar and hydropower) may help the affordable and clean energy access and reducing fossils fuel dependence and its associated greenhouse emissions in South Asia.

2021 ◽  
Vol 10 (4) ◽  
pp. 769-778
Author(s):  
Nurul Anwar ◽  
Khalid Eltayeb Elfaki

This paper examines the relationship between energy consumption, economic growth, and environmental degradation in Indonesia in 1965-2018 with the inclusion of gross capital formation and trade openness as relevant factors. The autoregressive distributed lag model to cointegration, fully modified ordinary least squares, dynamic ordinary least squares, and canonical cointegrating regression approach applied to estimate this relationship. The result of cointegration confirms the existence of a cointegration relationship between energy consumption, economic growth, gross fixed capital formation, trade openness, and environmental degradation. The empirical result, in the long run, indicates that energy consumption, economic growth, and trade openness have a positive relationship with environmental degradation. However, the gross fixed capital formation was found to be negatively associated with environmental degradation. This implying that gross fixed capital formation plays a pivotal role to reduce environmental degradation in Indonesia.  The error correction model coefficient indicates that the deviation of CO2 emissions from its long run equilibrium will be adjusted by 0.53% through the short run channel per annual. The findings of this paper propose implementing an energy policy that focuses on energy from environmentally friendly sources. Reverse the effect of openness to the international markets to improve and facilitate access to advanced and environmentally friendly technologies to mitigate environmental degradation and improve environmental quality.


PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0253464
Author(s):  
M. S. Karimi ◽  
S. Ahmad ◽  
H. Karamelikli ◽  
D. T. Dinç ◽  
Y. A. Khan ◽  
...  

This study examines the relationship between economic growth, renewable energy consumption, and carbon emissions in Iran between 1975–2017, and the bounds testing approach to cointegration and the asymmetric method was used in this study. The results reveal that in the long run increase in renewable energy consumption and CO2 emissions causes an increase in real GDP per capita. Meanwhile, the decrease in renewable energy has the same effect, but GDP per capita reacts more strongly to the rise in renewable energy than the decline. Besides, in the long run, a reduction of CO2 emissions has an insignificant impact on GDP per capita. Furthermore, the results from asymmetric tests suggest that reducing CO2 emissions and renewable energy consumption do not have an essential role in decreasing growth in the short run. In contrast, an increase in renewable energy consumption and CO2 emissions do contribute to boosting the growth. These results may be attributable to the less renewable energy in the energy portfolio of Iran. Additionally, the coefficients on capital and labor are statistically significant, and we discuss the economic implications of the results and propose specific policy recommendations.


2020 ◽  
Vol 2 (2) ◽  
pp. 206-224
Author(s):  
Shreezal G.C.

Background: Capital investment, financial and technological developments are essential drivers for the economic growth of developing countries like Nepal. These factors, directly and indirectly, contribute to the growth of the country. Technological factors such as FDI and trade allow technology and knowledge transfers to Nepal along with foreign investments, goods and services. The financial sector encourages investors by providing loans that further generates investment in the country. Similarly, the development of human capital further increases labor productivity. Nepal, being a developing country, lacks advanced infrastructure and technology, that are vital for pushing the economic growth in the country. Objective: This paper examined the effect of capital, labor, foreign direct investment, financial development and trade on the economic growth of Nepal using the endogenous growth model. Methods: The study employedthe ARDLboundstesting approach to test the long-run relationships introducing an error correction model to estimate both short and long-term relationships among the variables.The TY non-granger causality test was used to ensure robustness and check the direction of causality. Results: The results showed that gross fixed capital formation, population and financial development were significant and inducedpositive economic growth in the long run at a 1% level of significance whereas, the impact of FDI on economic growth was negative and significant at 1%. Conclusions: The study concludes that an increase in gross fixed capital formation, population and broad money supply positively impacts the economic growth of Nepal. However, technological factors such as FDI and trade do not adequately explain the economic growth due to low FDI inflows, political instability, poor infrastructure and import dependency. Implications: The study emphasized domestic investment and financial development of the country as they were found to be highly significant in the long run. Also, the human capital of the country should be developed by providing education and training as the population was found to be highly significant. The study also indicated that Nepal should push export as its share in the trade is very less. Moreover, policies such as legal reforms, incentives to foreign investors and infrastructural development to attract FDIs in Nepal should be formulated.


Author(s):  
Patrick Mugendi Mugo ◽  
Wafula Masai ◽  
Kennedy Osoro

Aims: The paper attempts to examine the effects of primary budget deficits on economic growth. It reviews the nature and direction of causality between primary budget deficit and economic growth. In the recent years, these have been debated both in developed and developing countries. In contributing to this ongoing debate, the study analyzes the case for Kenya from 1980 to 2016. The evidence is intended to provide policy insights for macroeconomic stability and sustained  economic growth for shared prosperity in Kenya. Study Design: The study employs quantitative time-series research design by utilizing Stata econometrics software. Place and Duration of Study: Sample: Evidence from Kenya, from 1980 to 2016. Methodology: The study employs unit root tests, Johansen cointegration analysis, a dynamic vector error correction model and a multivariate Toda-Yamamoto Granger-causality representation. Results: The findings establish that the primary budget deficit, gross fixed capital formation, real interest rate, terms of trade, inflation growth and financial innovation have significant effects on GDP per capita growth in Kenya. Primary budget deficit has a strong and significant effect on GDP per capita growth both in short-run and long run. In the short-run, the results revealed that the primary budget deficit had a positive effect on economic growth which turned negative in the long-run. There was a unidirectional causality running from primary budget deficit to economic growth.  Conclusion: The study concludes that both in the short run and long run, primary budget deficit has strong and significant causal effects on economic growth in Kenya. The evidence underscores the need for the authorities to reduce high primary budget deficits, interest payments and domestic borrowings and strictly apply the golden rule of public finances to boost long term inclusive growth, in Kenya. 


Author(s):  
Harishankar Vidyarthi

Purpose – The purpose of this paper is to empirically examine the relationship between energy consumption, carbon emissions and economic growth for a panel of five South Asian economies namely India, Pakistan, Bangladesh, Sri Lanka and Nepal over the period 1972-2009 within multivariate framework. Design/methodology/approach – The study uses Pedroni cointegration and Granger causality test based on panel vector error correction model to examine long-run equilibrium relationship and direction of causation in short run and long run between energy consumption, carbon emissions and economic growth in South Asia. Findings – Cointegration result indicates the long-run equilibrium relationship between economic growth, energy consumption and carbon emissions for panel. Causality results suggest that bidirectional causality exist between energy consumption-GDP, and unidirectional causality from carbon emissions to GDP and energy consumption in long run. However, energy consumption causes carbon emissions in short run. Practical implications – Implementing energy efficiency measures and reducing dependence on fossils fuels by scaling up carbon free energy resources like nuclear, renewables including hydropower in energy mix is necessary for sustainable and inclusive growth in the region. Originality/value – South Asia economies need to sacrifice economic growth for reducing the carbon emissions in long run if the region dependence on fossils fuels including coal, oil and natural gas in energy mix continues at same pace.


2020 ◽  
Vol 6 (1) ◽  
pp. 25
Author(s):  
Masturah Ma’in ◽  
Siti Sarah Mat Isa

This study analyzes the impact of Foreign Direct Investment (FDI) on economic growth in Malaysia. The Auto-Regressive Distributed Lag (ARDL) method is used to investigate the long-run relationship between FDI and economic growth. The controlled variables are life expectancy, gross fixed capital formation and population growth. The bound test suggests that FDI, life expectancy, gross fixed capital formation and population growth have a long-run relationship with economic growth. This is supported by the significant correction term, which confirms the existence of a long-run relationship. However, as FDI, life expectancy and gross fixed capital formation have positive impact on Malaysia’s economic growth, population on the other hand, shows otherwise.


Author(s):  
Ahmet Ay ◽  
Fahri Kurşunel ◽  
Mahamane Moutari Abdou Baoua

The more a country is open to trade, the more it attracts investors and the faster its economy develops. However, some study showed that sometime it can be the opposite of all this. In this context, the main purpose of this study is to investigate the relationship between trade openness, capital formation and economic growth in African countries. To do so, we collected data of GDP per capita, trade (% of GDP), Gross national expenditure and capital formation variables. The method applied is panel cointegration and causality by using time series of 38 African countries for the period of 1990-2014. According to the results there is long run relationship between all the variables and the cross sectional co-integration test result indicates that there is more cointegration in Comoros, Equatorial Guinea, Niger and Guinea-Bissau. With highest GDP per capita, Equatorial Guinea has more long-run relationship between trade openness, capital formation and economic growth. However, one of the poorest countries in the world (Niger), has also efficient long run relationship between the variables. The panel causality test results suggest that there is unidirectional causal relationship from trade openness to economic growth. There is also bidirectional causality link between capital formation and economic growth. In the same context, causal link exists from capital formation to trade openness. The study suggests that African countries must increase the investment promotions in order to increase the capital formation and trade openness then to boost economic growth.


Author(s):  
Shikha Pokhrel ◽  
Chakra Bahadur Khadka

 This paper examines the long and short run relationship among selected macroeconomic variables and economic growth of Nepal. The objective of the research is to examine empirically the long and short run relationship among macroeconomic variables; gross fixed capital formation, human capital, government expenditure, foreign aid, and trade openness on economic growth of Nepal. The study period spanned from 1975 to 2016. The data has the annual frequency. The time series properties of the data were, first, analyzed using the Augmented Dickey-Fuller (ADF) test and then Auto-Regressive Distributive Lag (ARDL) approach to cointegration is employed to assess the direction of impact and long-run relationships between the variables. Besides these, other diagnostic tests are also conducted. The ARDL bound test analysis depicts the presence of cointegration relationship between real GDP and employed macroeconomic determinants. The negative and significant error correction coefficient further provides substantial evidence that there is long-run association among real gross domestic product and selected macroeconomic variables. The ARDL model shows that Gross fixed capital formation and government expenditure have a significant positive relationship on economic growth in the long run while trade openness has a significant negative relationship on economic growth in the long run. Thus, the findings suggest that GFCF and GE are the major macro determinants to robust the economic growth of Nepal. In order to achieve the desired rate of economic growth it is suggested that there should be a continuous investment in gross fixed capital formation including plants, machinery, raw materials, industrial buildings and technology (research and development). It is also suggested that structural changes should be made in school institutions with the provision of providing quality education with cognitive skills and added resources through quality and skilled teachers. Nepal must have more effective trade openness, particularly by productively controlling import of consumption goods, and by introducing import substitution policies, in boosting their economic growth through international trade.


2019 ◽  
Vol 64 (1) ◽  
pp. 33-44 ◽  
Author(s):  
Daniel Francois Meyer ◽  
Kaseem Abimbola Sanusi

Abstract In terms of macro-economic policy, gross fixed capital formation, which is the major component of domestic investment, is seen as an important process that could accelerate economic growth. This study re-examines the controversial issue of causality between domestic investment, employment and economic growth using South African data. The traditional assumption of causality running from investment to economic growth has remained inconclusive while empirical findings on the investment and employment growth nexus are also largely unsettled. The study makes use of quarterly data from 1995Q1 to 2016Q4 within the framework of the Johansen cointegration and Vector Error Correction Models (VECM). The empirical findings suggest that a long run relationship exists between domestic investment, employment and economic growth, with causality running from economic growth to investment and not vice versa. The results also demonstrate that investment has a positive long-run impact on employment. The empirical evidence further suggests bi-directional causality between employment and economic growth, while evidence of uni-directional causality, from investment to employment, is also found. The major implication of the study is that although there is bi-directional causality between economic growth and employment, economic growth does not translate to increased employment in the long run confirming “jobless growth”. Investment is found to be a positive driver of employment in the South African economy in the long-run. The study concludes that, in order to stimulate employment, investment enhancing policies, such as low interest rates and a favourable economic environment should be put in place to accelerate growth. Measures to promote economic growth, such as improved infrastructural facilities and diversification of the economy, should be further engineered so as to encourage increased investment.


Sign in / Sign up

Export Citation Format

Share Document