... of automobiles on the road and vehicle ownership levels are the primary influencing factors on the energy demand in Jordan’s transport segment, regardless of income level and fuel prices. Time series analysis is used in conjunction with the current model; energy requirements for Jordan’s transportation sector...

... no significant influence on several macroeconomic indicators in Nigeria. With data sets from 12 nations, Shi and Sun (2017) also use a VAR model to evaluate the influence of oil price variations on GDP growth. Energy sector Time series analysis Coal Regression Crude oil Econometric Autoregressive...

... data of the G7 countries and gross domestic product (GDP) values used for economic growth are included in Table 1 . Renewable energy Nonrenewable energy Economic growth G7 Asymmetric causality Time-varying causality Regression Electricity Time series analysis O47 P28 P52 Q43 R11...

... (2019) indicated existence of a significant unidirectional nonlinear causality running from exchange rate to stock prices. Therefore, it becomes relevant to explore the linkage between exchange rate and stock price for Norway, an oil-rich country. Co-integration Time series analysis Crude oil...

... solar energy projects and other environmentally friendly projects. Originality/value It is the first research for Egypt that explores natural resource-financial development nexus using time series analysis according to our information, and two important variables are included in the model which...

... Lucas Rodrigues can be contacted at: lucas2.rodrigues@outlook.com 01 03 2021 28 06 2021 23 07 2021 © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only Co-integration Forecasting Time series analysis Biofuels Econometric Demand...

... rate Oil price Time series analysis Non-linear ARDL Asymmetric effects WTI The literature attributes changes in exchange rates to variations in oil prices through various channels. For instance, depending on the energy-dependence of productive activities, an increase in oil price could...

...-integration Policy Energy sector Time series analysis Regression Econometric Modelling Energy Education index VECM Energy policy India Energy is an important input for production processes to boost economic and social development (Peidong et al., 2009). Studies like Inglesi-Lotz...

... Limited 2021 Emerald Publishing Limited Licensed re-use rights only Oil markets Shale oil Frac count Time series analysis Crude oil Autoregressive Non-conventional oil Q40 Q41 Q43, Q49 In 2011, oil and gas production had begun in large quantities in oil-rich regions...

... Limited Licensed re-use rights only Urbanization Energy intensity Energy use STIRPAT model CO₂ emission Urban Energy sector Regression Time series analysis Urbanization is a major demographic phenomenon that spurs with economic development. In the wake of climate change...

..., the nonlinearity of the temperature-to-demand ratio of electricity forecasts was also developed from equations (4) to (5) : Residential Energy sector Time series analysis Regression Least square estimation Correlation analysis Demand forecasting Simulation Electricity Demand-side management...

...@gimpa.edu.gh International trade Energy sector Time series analysis Regression Correlation analysis Electricity Agricultural From the literature review, it can be noted that there is not a consistent view on the effect of energy access on FDI. These mixed and inconclusive findings may be based...

... that sectoral purpose-driven energy interventions are formulated to address power supply challenges in the real sector. © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only Cointegration Energy production Energy sector Time series analysis Econometric...

... Renewable energies Time series analysis Regression Electricity The recent advances in science and technology coupled with the growing sense of accountability to protect the environment have brought forward ongoing discussions about the generation and use of energy. Leading the way...

... Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only ARIMA Forecasting Modelling Energy sector Renewable energies Wind Time series analysis Forecast Wind direction Wind turbine Time series Long-term memory Owing to the fact that fossil fuels...

... Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only International trade Co-integration Energy sector Time series analysis Autoregressive Modelling Financial sector Oil prices Exchange rates Asymmetries NARDL model C22 C52 C59 F31 Q3 Q4...

... at: aalqahtani@suffolk.edu 15 06 2019 22 10 2019 20 11 2019 14 12 2019 © Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only Oil prices Stock market GARCH GCC countries Co-integration Causality Financial sector Time series analysis...

... Limited Licensed re-use rights only Co-integration Renewable energy Time series analysis SAARC Carbon emissions Granger causality Error correction models Panel cointegration FMOLS Agricultural contribution Unit root test Climate change is currently the major and controversial...

... Energy production Renewable energies Time series analysis Waste-based Econometric Simulation Agricultural Optimization Biopotential Energetic potential Oil equivalent Plant remains Nonlinear restrictions Predicted values O13 Q42 C61 Within the energy strategy of Ukraine...

... further deploys the models for hands-on predictions of energy demand. © Emerald Publishing Limited 2019 Emerald Publishing Limited Licensed re-use rights only Energy production Energy sector Time series analysis Neural networks Energy demand Forecasting Deployment Sensitivity...