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This study aims to investigate the dynamic relationship between renewable and non-renewable energy sources on the economic growth of eight countries, the capital stock and labour force being used as control variables in each case. Questions that need to be asked include the following: Is there is an asymmetric and, hence, a non-linear relationship between variables? If yes, how does economic growth interact with both renewable and non-renewable energy consumption (EC)? How different are these relationships in the countries highly rated in the performance of renewable EC compared to those lowly rated?

This paper uses asymmetric quantile-based methods to extract possible asymmetric and, hence, non-linear relationships between the underlying variables.

A newly developed asymmetric panel quantile approach suggests that EC has a significant effect on economic growth in both directions of shocks as well as for the considered sample. The results further support the findings in recent literature on renewable energy deployment, given the importance of renewable EC for economic growth with the increased levels of renewable EC, although the initial investments may have a negative effect on economic growth for some countries.

This study contributes to the literature in twofold. Firstly, it aims to contribute to the ongoing debate in literature by incorporating both renewable and non-renewable energy resources in the production function with labour and capital to test their asymmetric impact on economic growth. Secondly, this paper uses asymmetric quantile-based methods to extract possible asymmetric and, hence, non-linear relationships between the underlying variables. Another point that should be emphasised in this study is the need for studies analysing economic growth and EC for a sample of G20 countries based on a comparative view for the renewable and non-renewable EC in literature.

The purpose of this study is to investigate the relationship between natural gas consumption and economic growth of France.

To analyze the relationship, an extended Cobb–Douglas production function is used. The auto-regressive distributive lag bounds testing approach is applied to test the existence of the long-run relationship between the series. The vector error correction model Granger causality approach is implemented to detect the direction of causal relation between the variables.

The results show that variables are cointegrated for the long-run relationship. They also indicate that natural gas consumption, exports, capital and labor are the contributing factors to economic growth in France. The causality analysis indicates that feedback hypothesis is validated between gas consumption and economic growth. The bidirectional causality is also found between exports and economic growth, gas consumption and exports and capital and gas consumption.

The feedback hypothesis between gas consumption and economic growth implies that adoption of energy conservation policies should be discouraged; rather, gas consumption and economic growth policies should be jointly implemented.

This study is an original work for France and shows the results of the relationship between natural gas consumption and economic growth. In line with the results of this study, new direction for policy makers is opened up to formulate a comprehensive energy policy to sustain long-term economic growth in France.

This paper aims to investigate the dynamic relationship between renewable energy and economic growth in African OPEC member countries (Angola, Algeria and Nigeria).

The fully modified ordinary least squares technique for heterogeneous cointegrated panels (Pedroni, 2000) is used to estimate the parameters of the model.

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.

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.

This study applies multiple methods to analyze the relationship between renewable energy and economic growth in African OPEC countries.

This paper aims to give a brief review on behavioral economics and behavioral finance and discusses some of the previous research on agents' utility functions, applicable risk measures, diversification strategies and portfolio optimization.

The authors also cover related disciplines such as trading rules, contagion and various econometric aspects.

While scholars could first develop theoretical models in behavioral economics and behavioral finance, they subsequently may develop corresponding statistical and econometric models, this finally includes simulation studies to examine whether the estimators or statistics have good power and size. This all helps us to better understand financial and economic decision-making from a descriptive standpoint.

The research paper is original.

This paper aims to investigate the relationship between gross domestic product (GDP) by sector and energy consumption by type in 16 emerging countries.

The panel model was utilized taking the period 1980-2010.

The results revealed that GDP by sector and energy consumption by type are cointegrated. Moreover, the Granger causality concluded a bi-directional causal relationship between oil, natural gas and renewable energy consumption and the value of the manufacturing, industrial and services sector. Furthermore, a bi-directional causal relationship was also found between coal consumption and the value of the services sector. Furthermore, a one-way causal relationship was found from oil consumption to the value of the agriculture sector, the value of the agriculture sector to coal consumption, and coal consumption to the value of the manufacturing and the industrial sectors.

This study recommended that these countries should increase their renewable energy consumption to achieve their GDP growth.

This study is different from the previous studies, as it disaggregated the GDP into four sectors, namely, agriculture, manufacturing, industrial and the services sector. In addition, this study will disaggregate energy consumption into oil consumption, gas consumption, coal consumption and electricity consumption.

The purpose of this study was to investigate the relationship between gross domestic product (GDP) growth and renewable and non-renewable energy consumption in 82 developing countries categorized by region.

To achieve the goal of this study, the panel model was used taking the period 1990-2009.

The Kao co-integration test results showed that both renewable and non-renewable energy consumption had a long-running relationship with all the economic sectors in all regions. Moreover, the FMOLS revealed that the renewable and non-renewable energy consumption had a long-run positive relationship with the economic sectors. However, the results also revealed that non-renewable energy consumption has a more significant effect on the economic sectors than the renewable energy consumption. In addition, the Granger causality showed the same results, that the causal relationship between the economic sectors and non-renewable energy consumption is more significant than the causal relationship between the economic sectors and renewable energy.

The reason behind these results is that these regions still depend on fossil fuels to promote their economic growth. Fossil fuels basically contribute more than 80 per cent of their total energy consumption. Thus, the study recommends the developing countries to increase their investment on renewable energy projects to increase the share of the renewable energy of total energy consumption.

This study is considered different from all the previous studies because it will investigate the disaggregate relationship between GDP and energy consumption (renewable and non-renewable) in East Asia and Pacific, Europe and Central Asia, Latin America and the Caribbean, Middle East and North Africa, South Asia and the Sub-Saharan African developing countries.

In all existing theoretical papers on causality it is assumed that the lag length is known a priori. However, in applied research the lag length has to be selected before testing for causality. The purpose of this paper is to suggest that in investigating the effectiveness of various Granger causality testing methodologies, including those using bootstrapping, the lag length choice should be endogenized, by which we mean the data‐driven preselection of lag length should be taken into account.

The size and power of a bootstrap test with endogenized lag‐length choice are investigated by simulation methods. A statistical software component is produced to implement the test, which is available online.

The simulation results show that this test performs well. An application of the test provides empirical support for the hypothesis that the UAE financial market is integrated with the US market.

The empirical results based on this test are expected to be more precise.

This paper considers a bootstrap test for causality with endogenous lag order. This test has superior properties compared to existing causality tests in terms of size, with similar if not better power and it is robust to ARCH effects that usually characterize financial data. Practitioners interested in causal inference based on time series data might find the test valuable.

For more than four decades, persistent economic activities and a focused growth strategy resulted in significant infrastructural and other favorable economic and institutional changes in the world's developing nations. High-quality growth is not just a function of sound economic policies but also implementing a broad range of social policies. The BRICS (Brazil, Russia, India, China and South Africa) nations have proven their testimony on both these factors. Following their path are some other emerging economies like N-11 (or Next Eleven propounded by Goldman Sachs (2005) Report), which this present study tries to examine as successors of BRICS.

Along with panel data regression modelling, the study has applied econometric procedures robust to heterogeneities across various nations and have been able to produce more reliable results that can be generalized for other similar groups of countries. 11 independent variables (both economic and institutional) have been used to meet the study's objective for a period of 34 years (1985–2018).

The findings of the study reveal that the governments of both the group of countries must work toward their macro-economic stability factors (external debt stocks), technological capabilities (mobile and fixed broadband subscriptions), human capital (health expenditure) and political conditions (mainly the rule of law) to enhance their sustainable economic growth.

This study enhances knowledge of the determinants of economic growth in emerging countries. Firms from BRICS and N-11 may better understand the factors influencing their internationalization process (both economic and institutional). The study is significant not just for the researchers but also for the policymakers of the BRICS and N-11 to understand in which areas their country is leading or lagging. The study is useful even for the policymakers of other emerging countries of the world who might take lessons from these nations (especially BRICS) and follow their success path. This study helps the governments of other groups of emerging countries such as PIN (Pakistan, Indonesia and Nigeria); MINT (Mexico, Indonesia, Nigeria and Turkey); CIVETS (Colombia, Indonesia, Vietnam, Egypt, Turkey and South Africa), etc. which can follow the path of BRICS economies in growth and formulate policies to increase their economic growth accordingly. At the enterprise level, it helps MNCs understand BRICS and N-11 markets and formulating entry and growth strategies in these most emerging countries of the world.

The present study is unique. It tries to investigate the projections of the Goldman Sachs report after 15 years of its release. It tries to determine the factors responsible for the economic development in the N-11 countries with advanced econometric techniques. Majorly, the focus is to comparatively analyze the growth trajectory for BRICS and N-11 nations and suggest whether N-11 has the potential to become successors of BRICS. A concentrated effort to examine the most significant drivers (both economic and institutional), which may lead to economic progression, has been made in this study.

The “resource curse phenomenon” has received a lot of attention from researchers; however, there has not been any sound explanation to back this phenomenon since the main reason why natural resource should restrain economic growth instead of boosting economic growth remains unanswered. This paper contributes to literature on “resource curse hypothesis” by examining the role of government effectiveness in influencing the impact of gas resource rent on economic growth.

The study adopted the Cobb-Douglass production and incorporated gas resource rent, institutional quality (government effectiveness), inflation and exchange rate as additional variables that influences total output (gross domestic product). The author estimated the empirical form of the Cobb-Douglass production using autoregressive distributed lag model (ARDL) and Toda and Yamamoto (1995) as the main estimation strategies while other time series approaches were used as a robustness check.

The estimates from the ARDL short-run and the long-run dynamics suggest that the direct impact of gas resource rent on economic growth was positive but not statistically significant. At the same time, the interacting of gas resource rent and government effectiveness showed a positive and statistically significant effect of nearly 0.4123 and 0.8724 on economic growth in the long run and short run, respectively. The results from the Toda and Yamamoto (1995) also indicated that economic growth has a strong influence on gas resource rent while government effectiveness drives economic growth and not vice versa.

The findings from this study imply that government effectiveness plays a crucial role in averting the “resource curse phenomenon”. Hence, improving government effectiveness and efficiency through minimizing corruption among state institutions would be imperative in curbing the “resource curse phenomenon” in developing countries.

The influential role of government effectiveness on the relationship between gas resource rent on economic growth is examined.

In spite of the certain risk imposed by financial stress on the real economy, the relationship between financial stress and economic activity is complicated and underresearched, meaning that important gaps still remain in the authors’ understanding of this critical relationship. Therefore, the current study aims to answer the significant question regarding whether a stressful financial sector has predictive power on the real sector and vice versa. Hence, the study examines the causal interrelationship between financial stress index (FSI) and economic activity in Luxembourg as a sample country.

In this study, accompanying the time domain Granger causality framework of Hacker and Hatemi-J (2012), the authors utilize the spectral causality technique of Breitung and Candelon (2006), which is based on the study of Geweke (1982) and Hosoya (1991). This method enables the researcher to measure the degree of a particular variation in time series. Moreover, it allows considering the nonlinearities and causality cycles. The authors further apply the recent method of Farné and Montanari (2018) that is a bootstrap framework on Granger-causality spectra, which allows for disambiguation in causalities.

The time-domain approach finds evidence of bidirectional causation between the variables. However, the spectral causality results indicate the causal linkages between the series are only valid under the medium-run frequency. This study’s findings emphasize covering the frequency causality to deliver a more comprehensive picture of the interrelationship between the variables.

There are many studies in this area that examine the nexus between financial stress and economic activity. However, the authors believe this paper is the first study in the context of Luxemburg. The authors focus on this country since its financial sector is designated as the most important pillar for the economy. Thus, a careful and reliable examination of the relationship between the financial sector and economic activity is likely to be of considerable interest to policymakers and researchers in this field.