Energy consumption,economic growth and prices: A reassessment using panel VECM for developed and developing countries

This paper reinvestigates the energy consumption–GDP growth nexus in a panel error correction model using data on 20 net energy importers and exporters from 1971 to 2002. Among the energy exporters, there was bidirectional causality between economic growth and energy consumption in the developed countries in both the short and long run, while in the developing countries energy consumption stimulates growth only in the short run. The former result is also found for energy importers and the latter result exists only for the developed countries within this category. In addition, compared to the developing countries, the developed countries’ elasticity response in terms of economic growth from an increase in energy consumption is larger although its income elasticity is lower and less than unitary. Lastly, the implications for energy policy calling for a more holistic approach are discussed.     

Economic growth,fossil fuel and non-fossil consumption: A Pooled Mean Group analysis using proxies for capital

This study employs a Pooled Mean Group estimator to examine the nexus between economic growth and fossil and non-fossil fuel consumption for 53 countries between 1990 and 2012. The global sample was divided into four categories: developed exporters, developed importers, developing exporters and developing importers. The purpose of these categories was to observe whether factors unique to these countries influence the relationship between energy consumption and economic growth. With the exception of developing importers, evidence of bi-directional causality between fossil fuel consumption and real GDP across all subsamples is observed. This leads to the conclusion that efforts to directly conserve fossil fuels may harm economic growth. In terms of non-fossil fuel use, the results are more diverse. Bi-directional causality between non-fossil fuel use and real GDP is found in the long and short run for developed importers; bi-directional causality only in the long run for developed exporters; negative long-run causality from real GDP to non-fossil fuels for developing exporters; and long-run causality from non-fossil fuel use to real GDP for developing importers. These results lead to the conclusion that other factors have been responsible for the progress seen in non-fossil fuel use. Thus it is concluded that economic growth on its own is insufficient to promote clean energy development. There is a need for policy makers to create an environment conducive to renewable energy investment.     

The causality between energy consumption and economic growth in Turkey

This paper applies the causality test to examine the causal relationship between primary energy consumption (EC) and real Gross National Product (GNP) for Turkey during 1970–2006. We employ unit root tests, the augmented Dickey–Fuller (ADF) and the Philips–Perron (PP), Johansen cointegration test, and Pair-wise Granger causality test to examine relation between EC and GNP. Our empirical results indicate that the two series are found to be non-stationary. However, first differences of these series lead to stationarity. Further, the results indicate that EC and GNP are cointegrated and there is bidirectional causality running from EC to GNP and vice versa. This means that an increase in EC directly affects economic growth and that economic growth also stimulates further EC. This bidirectional causality relationship between EC and GNP determined for Turkey at 1970–2006 period is in accordance with the ones in literature reported for similar countries. Consequently, we conclude that energy is a limiting factor to economic growth in Turkey and, hence, shocks to energy supply will have a negative impact on economic growth.     

Energy consumption and economic growth relationship: Evidence from panel data for low and middle income countries

This paper uses the panel data of energy consumption (EC) and economic growth (GDP) for 51 countries from 1971 to 2005. These countries are divided into three groups: low income group, lower middle income group and upper middle income group countries. Firstly, a relationship between energy consumption and economic growth is investigated by employing Pedroni (1999) panel cointegration method. Secondly, panel causality test is applied to investigate the way of causality between the energy consumption and economic growth. Finally, we test whether there is a strong or weak relationship between these variables by using Pedroni (2001) method. The empirical results of this study are as follows: i) Energy consumption and GDP are cointegrated for all three income group countries. ii) The panel causality test results reveal that there is long-run Granger causality running from GDP to EC for low income countries and there is bidirectional causality between EC and GDP for middle income countries. iii) The estimated cointegration factor, β, is not close to 1. In other words, no strong relation is found between energy consumption and economic growth for all income groups considered in this study. The findings of this study have important policy implications and it shows that this issue still deserves further attention in future research.     

Electricity consumption and real GDP causality nexus: Evidence from ARDL bounds testing approach for 11 MENA countries

This paper investigates the short-run and long-run causality issues between electricity consumption and economic growth in the selected 11 Middle East and North Africa (MENA) countries by using Autoregressive Distributed Lag (ARDL) bounds testing approach of cointegration and vector error-correction models. It employs annual data covering the period from 1971 to 2006. The unit root tests results indicate that some of the variables for Algeria, Jordan, Tunisia and United Arab Emirates do not satisfy the underlying assumptions of the ARDL bounds testing approach of cointegration methodology before proceeding to the estimation stage. Thus, we drop these countries from the ARDL bounds testing approach of cointegration and causality analysis. The cointegration test results show that there is no cointegration between the electricity consumption and the economic growth in three of the seven countries (Iran, Morocco and Syria). Thus, causal relationship cannot be estimated for these countries. However, the cointegration and causal relationship is found in four countries (Egypt, Israel, Oman and Saudi Arabia). The overall results indicate that there is no relationship between the electricity consumption and the economic growth in most of the MENA countries. Further evidence indicates that policies for energy conservation can have a little or no impact on economic growth in most of the MENA countries.     

The embodied energy in trade: What role does specialization play?

Many industrialized countries are net importers of embodied energy and emissions, while many developing countries are net exporters. We examine the role of specialization in driving these trade patterns by conducting a spatial index decomposition analysis on the embodied energy in net exports for 41 economies. The results reveal that industrialized countries have generally offshored energy intensive production, which many developing countries specialize in. We find that specialization, on average, makes the biggest contribution, accounting for roughly 50% of a country's embodied energy in net exports. However, other factors, namely energy intensity and the trade balance, combine to make an equally important contribution. In summary, specialization, despite its significant role, is not the only cause of the embodied energy trade patterns observed between industrialized and developing countries.     

Crude oil trade and current account deficits

This paper provides an empirical exploration into the relationship between crude oil trade and a nation's current account for 91 countries over the 1984–2009 period. Reduced oil import dependence may initially reduce a country's general trade deficit under certain conditions. The analysis probes the nature of this relationship and whether it holds equally to oil-importing and oil-exporting countries, after controlling for other exogenous drivers. We find that net oil exports are a significant factor in explaining current account surpluses but that net oil imports often do not influence current account deficits. Among all oil importers the one exception applies to relatively rich countries, where higher oil imports appear to contribute to greater current account deficits. One explanation for these trends is that oil exporters and wealthier oil importers may view oil income gains and losses as temporary income sources that influence their savings patterns.     

Electricity consumption and economic growth in China: Cointegration and co-feature analysis

This paper applies the cointegration theory to examine the causal relationship between electricity consumption and real GDP (Gross Demostic Product) for China during 1978–2004. Our estimation results indicate that real GDP and electricity consumption for China are cointegrated and there is only unidirectional Granger causality running from electricity consumption to real GDP but not the vice versa. Then Hodrick–Prescott (HP) filter is applied to decompose the trend and fluctuation component of the GDP and electricity consumption series. The estimation results indicate that there is cointegration between not only the trend components, but also the cyclical components of the two series, which implies that, the Granger causality is probably related with the business cycle. The estimation results are of policy implication to the development of electric sector in China.     

Linkages between oil price shocks and stock returns revisited

In this paper, we revisit the debate on the relationship between oil price shocks and stock market returns by replicating the quantile-on-quantile (QQ) regression model for the US stock market in Sim and Zhou (2015, Journal of Banking and Finance), and extending it to 15 countries. The classification of these countries as oil importers or oil exporters depends on their net position in crude oil trade. Our results indicate that the main finding by Sim and Zhou (2015) that large negative oil price shocks can bolster stock returns when markets are performing well is only partially supported by the three largest oil importers in our sample – China, Japan and India – during the period 1988:1–2007:12. However, when extending the study to more recent data (period 1988:1–2016:12), we find that China and India experience higher returns when markets perform well and there is a large positive oil price shock. Also, large positive oil price shocks often lead to higher stock market returns when markets perform well for both oil exporting countries – Canada, Russia, Norway – and moderately oil dependent countries – such as Malaysia, Philippines and Thailand. In most cases large negative oil price shocks depress further already poorly performing markets, as in Sim and Zhou (2015). These findings highlight that the relationship between the distributions of oil price shocks and stock market returns is not stable over time in most countries studied. Furthermore, the asymmetric effect between positive and negative oil price shocks observed in the US market by Sim and Zhou (2015) is less evident in most countries for both the baseline and extended periods.     

Energy consumption and economic growth: Evidence from the economic community of West African States (ECOWAS)

Access to modern energy is believed to be a prerequisite for sustainable development, poverty alleviation and the achievement of the Millennium Development Goals.However, theoretical models and empirical results offer conflicting evidence on the relationship between energy consumption and economic growth that we remain largely unsure of the cause-and-effect nature of this relationship, if indeed a relationship exists at all.This paper tests, in a panel context, the long-run relationship between energy access, and economic growth for fifteen African countries from 1980 to 2008 by using recently developed panel cointegration techniques.We adopt a three-stage approach, consisting of panel unit root, panel cointegration and Granger causality tests to study the dynamic causal relationships between energy consumption, energy prices and growth as well as relationship between electricity consumption, prices and growth.Results show that GDP and energy consumption as well as GDP and electricity move together in the long-run. By estimating these long-run relationships and testing for causality using panel-based error correction models, we found unidirectional long-run and short-run causality. The causality is running from GDP to energy consumption in the short-run, and from energy consumption to GDP in the long-run. There is also evidence of unidirectional causality running from electricity consumption to GDP in the long-run.This study thus provides empirical evidence of long-run and causal relationships between energy consumption and economic growth for our sample of fifteen countries; suggesting that lack or limited access to modern energy services could hamper economic growth and compromise the development prospects of these countries.     

Energy consumption and economic growth: The case of oil exporting countries

This paper examines the causal relationship between the per capita energy consumption and the per capita GDP in a panel of 11 selected oil exporting countries by using panel unit-root tests and panel cointegration analysis. The results show a unidirectional strong causality from economic growth to energy consumption for the oil exporting countries. The findings have practical policy implications for decision makers in the area of macroeconomic planning. In most major oil exporting countries, government policies keep domestic prices bellow free market level, resulting in high levels of domestic energy consumption. The results imply that the energy conservation through reforming energy price policies has no damaging repercussions on economic growth for this group of countries.     

Causal relationship between trade openness,economic growth and energy consumption: A panel data analysis of Asian countries

This paper explores the causal relationship between economic growth, trade openness and energy consumption using data of 15 Asian countries. The study covers the period of 1980–2011. We have applied panel cointegration and causality approaches to examine the long-run and causal relationship between variables.Empirical results confirm the presence of cointegration between variables. The impact of economic growth and trade openness on energy consumption is found to be positive. The panel Granger causality analysis reveals the bidirectional causality between economic growth and energy consumption, trade openness and energy consumption.     

Panel estimation for CO2 emissions,energy consumption,economic growth,trade openness and urbanization of newly industrialized countries

This paper empirically examines the dynamic causal relationships between carbon dioxide emissions, energy consumption, economic growth, trade openness and urbanization for the panel of newly industrialized countries (NIC) using the time series data for the period 1971–2007. Using four different panel unit root tests it is found that all panel variables are integrated of order 1. From the Johansen Fisher panel cointegration test it is found that there is a cointegration vector among the variables. The Granger causality test results support that there is no evidence of long-run causal relationship, but there is unidirectional short-run causal relationship from economic growth and trade openness to carbon dioxide emissions, from economic growth to energy consumption, from trade openness to economic growth, from urbanization to economic growth and from trade openness to urbanization. It is found that the long-run elasticity of carbon dioxide emissions with respect to energy consumption (1.2189) is higher than short run elasticity of 0.5984. This indicates that over time higher energy consumption in the newly industrialized countries gives rise to more carbon dioxide emissions as a result our environment will be polluted more. But in respect of economic growth, trade openness and urbanization the environmental quality is found to be normal good in the long-run.     

Renewable and non-renewable energy consumption and economic activities: Further evidence from OECD countries

This article examines the dynamic relationship between renewable and non-renewable energy consumption and industrial output and GDP growth in OECD countries using data over the period of 1980–2011. The panel cointegration technique allowing structural breaks is used for empirical investigation. The results show that there is a long-term equilibrium relationship among non-renewable and renewable energy sources, industrial output and economic growth. The panel causality analyses show bidirectional causality between industrial output and both renewable and non-renewable energy consumption in the short and long run. However, there is evidence of bidirectional short-run relationship between GDP growth and non-renewable energy consumption while unidirectional causality between GDP growth and renewable energy consumption. These results indicate that OECD economies still remain energy-dependent for their industrial output as well as overall economic growth. However, expansion of renewable energy sources is a viable solution for addressing energy security and climate change issues, and gradually substituting renewable to non-renewable energy sources could enhance a sustainable energy economy.     

Renewable energy consumption and economic growth: Evidence from a panel of OECD countries

This study examines the relationship between renewable energy consumption and economic growth for a panel of twenty OECD countries over the period 1985–2005 within a multivariate framework. Given the relatively short span of the time series data, a panel cointegration and error correction model is employed to infer the causal relationship. The heterogeneous panel cointegration test reveals a long-run equilibrium relationship between real GDP, renewable energy consumption, real gross fixed capital formation, and the labor force with the respective coefficients positive and statistically significant. The Granger-causality results indicate bidirectional causality between renewable energy consumption and economic growth in both the short- and long-run.     

Energy consumption and economic growth: Evidence from the Commonwealth of Independent States

This study examines the relationship between energy consumption and economic growth for eleven countries of the Commonwealth of Independent States over the period 1991–2005 within a multivariate panel data framework. Based on (Pedroni, 1999) and (Pedroni, 2004) heterogeneous panel cointegration test and corresponding error correction model, cointegration is present between real GDP, energy consumption, real gross fixed capital formation, and labor force with the respective coefficients positive and statistically significant. The results of the error correction model reveal the presence of unidirectional causality from energy consumption to economic growth in the short-run while bidirectional causality between energy consumption and economic growth in the long-run. Thus, the results lend support for the feedback hypothesis associated with the relationship between energy consumption and economic growth.     

Energy,human capital and economic growth in Asia Pacific countries — Evidence from a panel cointegration and causality analysis

This paper examines the cointegration and causal relationship between energy consumption and economic development in 16 Asia Pacific countries over the period 1970–2011 using the augmented production function which considers not only physical capital and labor but also human capital. This is likely among the first of the energy–growth nexus literature to include human capital in the multivariate framework. Using recently developed panel unit root test and cointegration test that allow for cross-sectional dependence, this paper finds a long-run cointegrating relationship between these variables. Continuously-updated fully modified (Cup-FM) estimates are subsequently compared with panel heterogeneous fully modified ordinary least squares (FMOLS) results to confirm the importance of accounting for interdependence across countries. The bootstrap panel Granger causality test results find economic growth Granger cause energy use in the region but the relationship varies for individual countries.     

Interpreting the dynamic nexus between energy consumption and economic growth: Empirical evidence from Russia

Research on the nexus between energy consumption and economic growth is a fundamental topic for energy policy making and low-carbon economic development. Russia proves the third largest energy consumption country in the world in recent years, while little research has shed light upon its energy consumption issue till now, especially its energy–growth nexus. Therefore, this paper empirically investigates the dynamic nexus of the two variables in Russia based on the state space model. The results indicate that, first of all, Russia's energy consumption is cointegrated with its economic growth in a time-varying way though they do not have static or average cointegration relationship. Hence it is unsuitable to merely portrait the nexus in an average manner. Second, ever since the year of 2000, Russia's energy efficiency has achieved much more promotion compared with that in previous decades, mainly due to the industrial structure adjustment and technology progress. Third, among BRIC countries, the consistency of Russia's energy consumption and economic growth appears the worst, which suggests the complexity of energy–growth nexus in Russia. Finally, there exists bi-directional causality between Russia's energy consumption and economic growth, though their quantitative proportional relation does not have solid foundation according to the cointegration theory.     

Energy consumption and economic growth: New insights into the cointegration relationship

This paper examines the long-run relationship between energy consumption and real GDP, including energy prices, for 25 OECD countries from 1981 to 2007. The distinction between common factors and idiosyncratic components using principal component analysis allows to distinguish between developments on an international and a national level as drivers of the long-run relationship. Indeed, cointegration between the common components of the underlying variables indicates that international developments dominate the long-run relationship between energy consumption and real GDP. Furthermore, the results suggest that energy consumption is price-inelastic. Causality tests indicate the presence of a bi-directional causal relationship between energy consumption and economic growth.     

Forecast of electricity consumption and economic growth in Taiwan by state space modeling

This paper investigates the Granger causality between electricity consumption (EL) and economic growth for Taiwan during 1980–2007 using the cointegration and error-correction models. The results indicate that EL and real GDP are cointegrated, and that there is unidirectional short and long run Granger causality from economic growth to EL but not vice versa. Considering cointegrated property, this study proposes a new error-correction state space model (ECSTSP) with the error-correction term (ECT) in its state vector to forecast both EL and real GDP simultaneously, whereas the ECM is not in the state vector of classical state space model (STSP). The out-of-sample forecasting ability of the ECSTSP is compared with STSP and SARIMA models using six forecasting horizons from 1-year to 6-year. The results suggest that all of the models have strong forecasting performance with MAPE less than 5.4%, but the ECSTSPs have the smallest average values of MAPEs for both EL and GDP, which are 2.50% and 1.74%, respectively. For short-term predictions, SARIMA models are as good as STSP or ECSTSP ones. For long-term prediction, ECSTSP is the best model, because the cointegration relationship between real GDP and EL is taken into account in this model.