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008 210823s2021 ua d f m 000 0 eng d
040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aM.Sc
099 _aCai01.03.02.M.Sc.2021.Me.I
100 0 _aMenna Tallah Sherif Abdelkarim Rakha
245 1 0 _aInvestigating the potential role of technological innovation and clean energy in mitigating the ecological footprint :
_bAn empirical study /
_cMenna Tallah Sherif Abdelkarim Rakha ; Supervised Khadiga M. Elaasar , Dalia M. Ibrahiem
246 1 5 _aدراسة الدور المحتمل للتطور التكنولوجى والطاقة النظيفة فى الحد من البصمة البيئية :
_bدراسة تطبيقية
260 _aCairo :
_bMenna Tallah Sherif Abdelkarim Rakha ,
_c2021
300 _a144 , 27 P. :
_bcharts ;
_c25cm
502 _aThesis (M.Sc.) - Cairo University - Faculty of Economics and Political Science - Department of Economics
520 _aMitigating the environmental degradation has been one of the most crucial issues that face the world nowadays due to the threats of global warming, air pollution and the greenhouse gases (GHG) emissions such as carbon dioxide (CO2). As a result, the international organizations started to formulate policies that enhance shifting to renewable and sustainable sources with aim of satisfying the nations{u2018} energy needs and protecting the environment at the same time.The N- 11 countries depend intensively on energy consumption in promoting their economic growth which raises the concerns of environmental degradation in those countries. Thus, this thesis aims to investigate the potential role of technological innovation and clean energy in mitigating the ecological footprint in the N-11 countries over the period 1992-2015 by applying panel cointegration analysis.The results of the panel cointegration test indicate that the ecological footprint (EF) variable, the clean energy (CE) variable, the GDP per capita (Y) variable, the financial development (FIN) variable and technological innovation (TI) variable are cointegrated in the long run. The results of the Vector Error Correction Model (VECM) indicate a long-run causal relation running from the ecological footprint (EF) variable to the clean energy (CE) variable, the GDP per capita (Y) variable and technological innovation (TI) variable.This implies that the environmental degradation (measured by the ecological footprint variable) faced by the N-11 countries leads to shifting towards clean energy sources and technological innovation in the long-run
530 _aIssued also as CD
653 4 _aClean Energy
653 4 _aEcological Footprint
653 4 _aTechnological Innovation
700 0 _aDalia M. Ibrahiem ,
_eSupervisor
700 0 _aKhadiga M. Elaasar ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aNazla
_eRevisor
905 _aShimaa
_eCataloger
942 _2ddc
_cTH
999 _c81828
_d81828