Spatial externality of journalism on carbon efficiency: A quasi-natural experiment based on interplay of journalism-based professionally generated content and digital economy

Da Huo, Xiaotao Zhang, Chao Hu, Aidi Tang, Yongchuan Chen, Fang Chen, Zhanming Chen and Weiyin Xu
Authors registered in the RePEc Author Service: 陈占 明 ()

Economic Analysis and Policy, 2023, vol. 80, issue C, 1326-1336

Abstract: The involvement of journalism-based professionally generated content (JPGC) in social economic development is important to further enhancement of low carbon economy. This research studied the spatial externality of journalism-based professional generated content (JPGC) on carbon emission efficiency, and analyzes the interplay effect of journalism-based professional generated content (JPGC) and digital economy on carbon efficiency based on spatial econometric model. This research further studied the causal effect of carbon emissions trading pilots on carbon emission efficiency based on cross-function of journalism-based professional generated content (JPGC) and digital economy by using quasi-natural experiment. This research develops a inter-disciplinary study to low carbonization in green economy from linguistic perspective in public administration supported by social media.

Keywords: Journalism-based professionally generated content; Digital economy; Carbon emission efficiency; Spatial externality; Quasi-natural experiment (search for similar items in EconPapers)
JEL-codes: F23 H83 L86 O13 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecanpo:v:80:y:2023:i:c:p:1326-1336

DOI: 10.1016/j.eap.2023.10.009

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