... 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...

... for estimating the order of a vector autoregressive process ”, Journal of Time Series Analysis , Vol. 6 No. 1 , pp. 35 - 52 , doi: 10.1111/j.1467-9892.1985.tb00396.x . Lütkepohl , H. , Staszewska-Bystrova , A. and Winker , P. (2017), “ Estimation of structural impulse responses: short...

... energy Economic growth G7 Asymmetric causality Time-varying causality Regression Electricity Time series analysis O47 P28 P52 Q43 R11 Both operators and academicians should estimate the relationship between energy consumption and economic growth. Because new strategies can...

... Publishing Limited Licensed re-use rights only Co-integration Time series analysis Crude oil Econometric Financial sector Europe accounts for approximately 18% of world oil supply, and Norway is the largest crude oil exporter in Europe. Moreover, Norway is the 15th largest oil producing...

... 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...

... 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 forecasting Autoregressive Neural networks Fuzzy-logic model...

... ; Kandil, 2004 ; Kandil et al., 2007), economic growth and unemployment (Kandil and Mirzaie , 2002, 2005) and foreign investment (Arratibel et al., 2011). Energy sector Exchange rate Oil price Time series analysis Non-linear ARDL Asymmetric effects WTI In light...

... literature review, Section 3 describes data, Section 4 outlines the methodology, Section 5 holds the discussion of estimated results and Section 6 follows conclusion and policy implications. Co-integration Policy Energy sector Time series analysis Regression Econometric Modelling Energy...

... Emerald Publishing 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 Tight oil is generally found under low permeability formations...

... emission Urban Energy sector Regression Time series analysis The relevance of this study also lies in the fact that it studies the impacts of urbanization, technology and GDP growth on energy use in India, which is presently the world’s fourth largest energy consumer. Additionally, the policy...

... the coefficient in terms of the sector (i) and time (t). In the following equation, 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...

... the conclusions and policy implications of the study. International trade Energy sector Time series analysis Regression Correlation analysis Electricity Agricultural We contribute to the nascent energy access-FDI literature in several ways. Firstly, this study is first to highlight the role...

... that sectoral purpose-driven energy interventions are formulated to address power supply challenges in the real sector. Cointegration Energy production Energy sector Time series analysis Econometric Electricity Electricity consumption Real sector Vector autoregressive (VAR) Vector error correction...

... that is consistent with the available raw data. Alin Simion Tomoiaga can be contacted at: alin.tomoiaga@manhattan.edu 20 02 2020 29 05 2020 14 06 2020 © Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only Renewable energies Time series...

... 2020 © 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...

... © 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...

... GCC countries Co-integration Causality Financial sector Time series analysis ARIMA Dynamic regression Fossil fuel In 1981, six Arab countries of the Arabian Gulf signed a charter to develop an intergovernmental institution with the name Gulf Cooperation Council (GCC). The utmost agendum...

... 04 2019 23 04 2019 © Emerald Publishing Limited 2019 Emerald Publishing 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...

...@nubip.edu.ua 21 04 2019 23 06 2019 01 07 2019 17 07 2019 © Emerald Publishing Limited 2019 Emerald Publishing Limited Licensed re-use rights only Biomass Energy production Renewable energies Time series analysis Waste-based Econometric Simulation Agricultural...

... and Prasad, 2018). Emmanuel Bannor B. can be contacted at: emmanuel.boateng@uon.edu.au 12 06 2019 23 07 2019 06 09 2019 © Emerald Publishing Limited 2019 Emerald Publishing Limited Licensed re-use rights only Energy production Energy sector Time series analysis...