Cultivating Talents for Reporting Environmental News on China’s Carbon Neutrality Policy

Feng Ji, Guangyuan Zhao (), Lun Meng, Rana Tehseen () and Fushuai Wang
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Feng Ji: College of Public Administration, Hohai University, Nanjing 210098, China
Guangyuan Zhao: School of Communication Sciences and Arts, Chengdu University of Technology, Chengdu 610051, China
Lun Meng: College of Public Administration, Hohai University, Nanjing 210098, China
Rana Tehseen: School of Economics, Shandong University of Technology (SDUT), Zibo 255049, China
Fushuai Wang: Moscow School of Economics, Lomonosov Moscow State University, 119991 Moscow, Russia

Sustainability, 2022, vol. 14, issue 24, 1-19

Abstract: Reports on environmental news can guide public opinion and regulate stakeholders to take the initiative to save energy and reduce carbon emissions. With China’s declared target of “carbon peaking and carbon neutral”, specialized environmental journalism talents are needed, and a good environmental journalism curriculum reform evaluation system is essential. The Snowball sampling technique is adopted to survey respondents using a well-structured questionnaire. The questionnaire included four dimensions: course content, assessment methods, development planning, and teaching research. The experts’ comments were quantified first, and then a three-level evaluation system was constructed using the Analytic Hierarchical Process. It was found that the content of the environmental journalism course on carbon peaking and carbon neutrality and the assessment methods for students were most valued by the experts and account for relatively large portions of the overall system. According to the scores of experts on the current situation of environmental journalism education with a double carbon theme in China, the course content and assessment methods need to be further improved compared with the career development planning of students and the teaching research of educators.

Keywords: carbon neutral; environmental news; energy policy; Analytic Hierarchical Process; China (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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