Economic development, energy consumption, financial development, and carbon dioxide emissions in Saudi Arabia: new evidence from a nonlinear and asymmetric analysis

2020 ◽  
Vol 27 (17) ◽  
pp. 21872-21891
Author(s):  
Bechir Raggad
2021 ◽  
Vol 36 (2) ◽  
pp. 124
Author(s):  
Azhima Muhammad Fattah ◽  
Jaka Aminata ◽  
Indah Susilowati ◽  
Arief Pujiyono

The purpose of this research is to analyze the causality between economic variables, i.e. economic growth, economic openness, and energy consumption to carbon dioxide emissions, and analyze short-run and long-run connections between research variables in Indonesia during the period 1971 to 2018. This research is using VECM analysis and Granger Causality. The results of the VECM analysis in this research show that in the short-run the variable carbon dioxide emissions in the previous period, economic openness, and energy consumption have a significant effect on carbon dioxide emissions in Indonesia, and in the long run, the variables of economic growth, economic openness, and energy consumption have a significant effect on carbon dioxide emissions in Indonesia. The Granger Causality analysis found a bidirectional causality between energy consumption and carbon dioxide emissions. It also found unidirectional causality between economic growth and carbon dioxide emissions. The recommendations that can be shared are that The Government of Indonesia should be more worried about the degradation in environmental quality in Indonesia as a result of economic development. On the other hand, in achieving sustainable economic development, the Indonesian Government must immediately use energy resources more efficiently and environmentally friendly


2018 ◽  
Vol 17 (2) ◽  
pp. 183-207 ◽  
Author(s):  
Sudeshna Ghosh

This article utilises the vector error correction model (VECM) and Granger causality tests to explore short-run and long-run relationships, in India, across carbon dioxide (CO2) emissions, energy consumption, agriculture value added (AV), trade liberalisation and financial development over the time period 1971–2013. The study adopts the autoregressive distributed lag (ARDL)-bound testing approach and Johansen–Juselius maximum likelihood procedure to find out the cointegrating relation among the variables. Both ARDL approach and Johansen–Juselius cointegration approach show that the concerned variables under study are cointegrated. Short-run Granger causality results indicate the existence of bidirectional causality between AV and CO2 emissions, and energy used and CO2 emissions. In the long-run trade, financial development, energy consumption and AV affect CO2 emissions. The results put thrust on the need to utilise energy-efficient technologies in agriculture to save the damage of the environment. JEL: C32, O53, Q43


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