摘要:Taking a succession of severe carbon emission issues and surprisingly lower birth rates into account, this empirical research employed the social exchange theory (SET) and environmental, social and governance (ESG) sustainable development doctrine in the decisive processes of the decision theory (DT) in order to comprehensively and deeply discuss and evaluate the interplays and dependences among the contemporary environmental carbon emission issue (social facts—SET), the carbon emission reduction public identity (social behavior—SET) and the higher education sustainable governance (social definition—SET). Beyond a succession of complex assessments, the most contributive and empirical benefits were (1) the registering decision-making of a higher education student was directly influenced by the carbon emission reduction governance concurrence (CERGC) of the carbon emission reduction energy recycling facilities (CERERFs) in higher education institutions; (2) the carbon emission reduction governance concurrence (CERGC) of the carbon emission reduction energy recycling facilities (CERERFs) was also indirectly advanced by offering a series of carbon emission reduction professional trainings (CERPTs), relative courses (CERRCs) and international certifications (CERICs) as well as precipitating an important part of the carbon emission reduction region–university collaboration (CERRUC) and alignment with non-profit organizations (CERANO). Hence, the higher education C-ESG sustainable development strategies are going to comprehensively establish a series of systematic carbon emission reduction professional trainings, relative courses, international certification mechanisms, region–university collaborations (CERRUCs) and alignments with non-profit organizations to concretely develop emission reduction energy recycling facilities (CERERFs) in order to increase student registrations to survive in this lower-birth-rate era.
关键词:higher education carbon emission; carbon environment social governance (C-ESG); social learning theory (SLT); factor analysis (FA); regression analysis (RA); analytical network process (ANP)