The impact of Some environmental variables on economic growth of United Arab Emirates
Main Article Content
Abstract
This era is characterized by the interconnectedness and acceleration that threatens the world, in which humans life. This paper inviestigate the impact of renewable electricity consumption (REC(, Carbon dioxide emissions )CO2E(,
Electricity production from oil sources )EPFO(, Gross Domestic Production (GDP), and Renewable electricity output (REO) on economic growth (EG) in the United Arb State. Annual data has been used over the period of 1990-2014, this period was chosen based on data availability. The fuzzy inference system is used to estimate the economic
growth, and the regression analysis has done as tools to find the relevance between the input and the output (economic growth). The results have shown that )REC(, sources )EPFO(, )CO2E( is significant with an emphasis on that EPFOandCO2E are inversely proportional with Economic Growth, that, the indicators explain 64.75% of the changes that take place in economic growth and there is no Autocorrelation problem based on Durbin-Watson Test. In addition, VECM model is utilized for finding out the effect of (EPFO, REC) on (EG). The experimental results show that (EPFO, REC) explains 55.97% of the changes that occur in in (EG). Moreover, the experimental results of serial Correlation LM Test and Heteroskedasticity Test is 0.64and 76.61respectively, That is mean model Does not suffer from serial Correlation and ther is no Heteroskedasticity in the residual.
Downloads
Article Details
References
Al-mulali, U., H. G. Fereidouni, et al., (2014). Electricity consumption from renewable
and non-renewable sources and economic growth: Evidence from Latin American
countries. Renewable and Sustainable Energy Reviews 30: 290-298.
Albankaldwali (2020). https://databank.albankaldawli.org/source/world-developmentindicators.
Retreivered on 2020
Azam, A., M. Rafiq, et al. (2021). Investigating the impact of renewable electricity
consumption on sustainable economic development: a panel ARDL approach.
International Journal of Green Energy: 1-8.
Basri, M. (2008). Medical image classification and symptoms detection using neuro
fuzzy. Electrical-Mechatronics and Automatic Control, Teknologi, Malaysia.
Belaid, F. and M. Youssef (2017). Environmental degradation, renewable and nonrenewable
electricity consumption, and economic growth: Assessing the evidence from
Algeria. Energy Policy 102: 277-287.
Bilen, K., O. Ozyurt, et al. (2008). Energy production, consumption, and environmental
pollution for sustainable development: A case study in Turkey. Renewable and
Sustainable Energy Reviews 12(6): 1529-1561.
Can, H. and Ö. Korkmaz (2019). The relationship between renewable energy
consumption and economic growth: The case of Bulgaria. International Journal of
Energy Sector Management.
Chang, C.-C. (2010). A multivariate causality test of carbon dioxide emissions, energy
consumption and economic growth in China. Applied Energy 87(11): 3533-3537.
Chen, C., M. Pinar, et al. (2020). Renewable energy consumption and economic growth
nexus: Evidence from a threshold model. Energy Policy 139: 111295.
Farhani, S. (2013). Renewable energy consumption, economic growth and CO2
emissions: Evidence from selected MENA countries. Energy Economics Letters 1(2):
-41.
Haseeb, M., I. S. Z. Abidin, et al. (2019). The impact of renewable energy on economic
well-being of Malaysia: Fresh evidence from auto regressive distributed lag bound
testing approach. International Journal of Energy Economics and Policy 9(1): 269.
Ito, K. (2017). CO2 emissions, renewable and non-renewable energy consumption, and
economic growth: Evidence from panel data for developing countries. International
Economics 151: 1-6.
Lean, H. H. and R. Smyth (2010). CO2 emissions, electricity consumption and output in
ASEAN. Applied Energy 87(6): 1858-1864.
Lin, C.-J., C.-C. Peng, et al. (2011). Identification and prediction using neuro-fuzzy
networks with symbiotic adaptive particle swarm optimization. Informatica 35(1).
Maslyuk, S. and D. Dharmaratna (2013). Renewable electricity generation, CO2
emissions and economic growth: Evidence from middle-income countries in Asia.
Estudios de economía aplicada 31(1): 217-244.
Michael, N. (2005). Artificial intelligence a guide to intelligent systems, Addison
Wesley.
Odhiambo, N. M. (2009). Energy consumption and economic growth nexus in
Tanzania: An ARDL bounds testing approach. Energy Policy 37(2): 617-622.
Perman, R., Y. Ma, et al. (2003). Natural resource and environmental economics,
Pearson Education.
Silva, S., I. Soares, et al. (2012). The impact of renewable energy sources on economic
growth and CO2 emissions: a SVAR approach.
Ucan, O., E. Aricioglu, et al. (2014). Energy consumption and economic growth nexus:
Evidence from developed countries in Europe. International Journal of Energy
Economics and Policy 4(3): 411.
Uyanık, G. K. and N. Güler (2013). A study on multiple linear regression analysis.
Procedia-Social and Behavioral Sciences 106: 234-240.
Wang, S., D. Zhou, et al. (2011). CO2 emissions, energy consumption and economic
growth in China: A panel data analysis. Energy Policy 39(9): 4870-4875.
Zhang, B., B. Wang, et al. (2017). Role of renewable energy and non-renewable energy
consumption on EKC: evidence from Pakistan. Journal of Cleaner Production 156: 855-
Zhang, B., Z. Wang, et al. (2018). Energy production, economic growth and CO 2
emission: evidence from Pakistan. Natural Hazards 90(1): 27-50.