Abstract:Researchers concur that energy plays a very significant role in the economic growth and development of any country and that increasing access to modernized systems of energy is critical to unlocking enhanced economic and social development in any country. In the light of this, the current article has empirically examined the causal interactions between energy consumption and economic growth in South Africa for the period 1970 to 2015 using the ARDL-bounds testing method. The results show that all the variables… Show more
“…The multivariate Granger causality estimation based on the ARDL-error correction model (ECM) and the lagged conditions were used to determine short-run, long-run and strong causality among the model [36][37][38][39]. The novelty of this equation consists in introducing two new variables, namely, revenues from environmental taxes, TAX, and greenhouse gas emissions, GGE, unlike the other models that use energy consumption and CO 2 emissions [31,[36][37][38][39]. The equations used in the model for this study can be expressed as a system of equations as follows:…”
One of the European Union’s (EU) objectives regarding climate change is a 40% reduction in greenhouse gas emissions by 2030, ensuring that member states focus on sustainable development. The aim of this study was the comparison of a three-dimensional relationship between green taxation, environmental performance and economic growth for the time period between 1995 and 2017 in Romania and Sweden. The novelty consists of simultaneously using the double dividend theory and environmental Kuznets curve theory for Romania. The autoregressive distributed lag (ARDL) method was used for testing the cointegration relationship. The Granger causality estimation based on the ARDL-error correction model was applied to identify the causality relationship between the variables and the pairwise Granger causality test to detect the direction of causality. The implementation of the tests led to the conclusion that environmental taxes will have a significant influence on the reduction of greenhouse gas emissions in the long run in both Romania and Sweden, while in the short run, no such influence will be noticed. Also, in Romania, in the long term, there was a bidirectional causality relationship between economic growth and greenhouse gas emissions, while in Sweden, the causality relationship was from economic growth to greenhouse gas emissions.
“…The multivariate Granger causality estimation based on the ARDL-error correction model (ECM) and the lagged conditions were used to determine short-run, long-run and strong causality among the model [36][37][38][39]. The novelty of this equation consists in introducing two new variables, namely, revenues from environmental taxes, TAX, and greenhouse gas emissions, GGE, unlike the other models that use energy consumption and CO 2 emissions [31,[36][37][38][39]. The equations used in the model for this study can be expressed as a system of equations as follows:…”
One of the European Union’s (EU) objectives regarding climate change is a 40% reduction in greenhouse gas emissions by 2030, ensuring that member states focus on sustainable development. The aim of this study was the comparison of a three-dimensional relationship between green taxation, environmental performance and economic growth for the time period between 1995 and 2017 in Romania and Sweden. The novelty consists of simultaneously using the double dividend theory and environmental Kuznets curve theory for Romania. The autoregressive distributed lag (ARDL) method was used for testing the cointegration relationship. The Granger causality estimation based on the ARDL-error correction model was applied to identify the causality relationship between the variables and the pairwise Granger causality test to detect the direction of causality. The implementation of the tests led to the conclusion that environmental taxes will have a significant influence on the reduction of greenhouse gas emissions in the long run in both Romania and Sweden, while in the short run, no such influence will be noticed. Also, in Romania, in the long term, there was a bidirectional causality relationship between economic growth and greenhouse gas emissions, while in Sweden, the causality relationship was from economic growth to greenhouse gas emissions.
“…The relationship between energy and economic growth have studied by economists for many years (i.e. Soytas and Sari, 2003;Fuinhas and Marques, 2012;Kalimeris et al, 2014;Sunde, 2018;Ssali et al, 2019). According to findings, energy consumption triggers the economic growth of countries.…”
This study investigated the impact of oil Petroleum production on economic growth in the Gulf Cooperation Council countries using panel autoregressive distributed lag model covering the period from 1960 to 2018. The results indicated that oil Petroleum production have significant positive impact on economic growth in both the long-run and the short-run period, also results show that variables are Co integrated by using the pool mean group (PMG) method. Panel Causality Test indicates that there is a causal relationship between Oil production and economic growth. There exists unidirectional causality running from economic growth (GDP) to petroleum production (PP).
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