SHORT COMMUNICATION
Dynamic Linkages between Green Energy, Knowledge Spillover, and Carbon Emissions: Global Evidence
 
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1
School of Public Administration, Xi’an University of Architecture and Technology, Xi’an, China
 
2
Department of Economics, University of Haripur, Khyber Pakhtunkhwa, Haripur, Pakistan
 
3
Department of Management, College of Business Administration, King Saud University, P.O. Box 71115, Riyadh, 11587, Saudi Arabia
 
4
Department of Management, Aleppo University, Aleppo, Syria
 
 
Submission date: 2020-07-05
 
 
Final revision date: 2020-10-15
 
 
Acceptance date: 2020-10-31
 
 
Online publication date: 2021-04-01
 
 
Publication date: 2021-06-09
 
 
Corresponding author
Khalid Zaman   

University of Wah, Pakistan
 
 
Pol. J. Environ. Stud. 2021;30(4):3419-3423
 
KEYWORDS
TOPICS
ABSTRACT
Covering 3168 annual observations of 132 countries for 1995-2018, the study investigated the role of knowledge spillover (KNOW), renewable energy (RE) demand, and food production (FP) in mitigation of CO2 emissions to achieve global environmental sustainability (ES) agenda. The study used Arellano- Bond (A-R) differenced GMM estimator to handle endogeneity and serial correlation issues for robust inferences. The results confirmed the hump-shaped relationship between KNOW and CO2 emissions to support ‘Knowledge Kuznets curve (KKC)’ across countries. The results further reveal that FDI inflows and trade openness (TOP) both increases CO2 emissions that substantiate the ‘pollution haven hypothesis (PHH)’. The positive relationship between FP and CO2 emissions exhibits ‘food footprints (FFP)’ across countries. The negative relationship between RE demand and CO2 emissions imply that increased use of RE helps to reduce emissions, which is a positive sign to precede towards cleaner production technologies for achieving global ES agenda.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
 
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eISSN:2083-5906
ISSN:1230-1485
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