How do varying socio-economic driving forces affect China's carbon emissions? New evidence from a multiscale geographically weighted regression model.

Tan, Shukui; Zhang, Maomao; Wang, Ao; Zhang, Xuesong; Chen, Tianchi

Tan, Shukui; Zhang, Maomao; Wang, Ao; Zhang, Xuesong; Chen, Tianchi.

Afiliación

Tan S; College of Public Administration, Huazhong University of Science and Technology, Wuhan, 430079, China.
Zhang M; College of Public Administration, Huazhong University of Science and Technology, Wuhan, 430079, China.
Wang A; School of Civil Engineering, University of South China, Hengyang, 421001, China. 168wangao@gmail.com.
Zhang X; College of Urban and Environmental Sciences, Central China Normal University, Wuhan, 430079, China.
Chen T; College of Public Administration, Huazhong University of Science and Technology, Wuhan, 430079, China.

Environ Sci Pollut Res Int ; 28(30): 41242-41254, 2021 Aug.

Article en En | MEDLINE | ID: mdl-33779906

Asunto(s)

Carbono; Desarrollo Económico; Carbono/análisis; Dióxido de Carbono/análisis; China; Humanos; Factores Socioeconómicos; Regresión Espacial

Palabras clave

Carbon emissions; China; Influencing factors; MGWR model; Spatial autocorrelation analysis

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Carbono / Desarrollo Económico Tipo de estudio: Health_economic_evaluation / Prognostic_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Environ Sci Pollut Res Int Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: China

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