... regression Error correction models Shang et al. (2023) focused on the Chinese economy in the examination of how GE resources and industrial activities relate. Based on non-linear ARDL, the study showed a negative shock between GE resource and industrial growth between 1975 and 2020...

... Dynamic regression Error correction models The dynamic ARDL model World crude oil production C32 F51 Q41 Q43 The contemporary global economy is deeply interconnected, making isolationism impractical. Globalization embodies a modern way of life marked by heightened interdependency among...

... and causality tests. Cointegration is performed with both Johansen and autoregressive distributed lag bounds approach, while causality is done with the Granger test based on the error correction model (ECM) and Toda-Yamamoto procedure. Findings The cointegration methods confirm the existence of a level...

... consumption Economic growth NARDL Error correction models Environmental sustainability has become increasingly important in the face of extreme weather changes, global warming and environmental degradation (Pearce et al., 2013 ; Raheem and Ogebe, 2017 ; Shahbaz et al., 2016...

... test with unknown break date to determine the threshold point. The study further uses the vector error correction model (VECM) Granger causality test to check the direction of causality between variables. Findings The ARDL bounds estimation technique confirms the cointegration among variables...

... 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...

... Autoregressive Error correction models It is no news that oil plays a vital role in determining the direction of macroeconomic indicators because of its relevance in the macroeconomy. The importance of energy in economic activities makes it imperative for nose-diving into the link between oil price...

...Sima Rani Dey Purpose The purpose of this study is to examine the causal relationship between per capita electricity consumption (PCEC) and per capita gross national income (GNI) (PCGNI) in Bangladesh for the period of 1971-2014. Design/methodology/approach Vector error correction modeling...

... sector Scenario analysis Correlation analysis Modelling Simulation Optimization Error correction models During the scheduling process, along with the processing of arranging, controlling and optimizing the work and workloads in a production system, one fundamental criteria to be considered...

..., 2015, 2015, BP press). ADF = Augmented Dickey–Fuller; ARDL = Autoregressive distributed lag; CO₂ = Carbon dioxide; ECM = Error correction model; EKC = Environmental Kuznets curve; GDP = Gross domestic product; GHG = Greenhouse gases; GT...

..., the dynamics are such that they drift together towards the long-run equilibrium, as they have been drawn from the same overall natural gas market. This dynamic is captured by an Error-Correction Model (ECM). ECM links the long-run equilibrium relationship between a price-pair implied by co-integration...

... at: dingzequn@tju.edu.cn © Emerald Publishing Limited 2017 Emerald Publishing Limited Licensed re-use rights only Industry Time series analysis Energy sector Econometric Policy Regression Error correction models Commercial 12th Five Year National Science and Technology Support Key...

... 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...