Research on Spatial Correlation Network for Pollution and Carbon Reduction of Gray Water and Carbon Footprint in China
At present,China is faced with double-challenge of pollution control and carbon dioxide emission reduction,and"reducing pollution and carbon"has become an important grip of the social and economic green transformation.In this paper,against the background of"reducing pollution and carbon",the gray water footprint and carbon emissions originated from the inter-regional trading of 30 provincial regions in China in 2012 and 2017 were analyzed using a multi-regional input-output tables of 2012 and 2017 respectively,and from the perspective of network relationship,the inter-provincial gray-water footprint and the nature of carbon dioxide spatial correlation network were analyzed empirically using the social network analysis method.Consequently,it was showed that the gray-water footprint and carbon dioxide emissions were greater in the regions with larger economic scale such as Shandong,Henan and Jiangsu provinces,in contrast the regions of lesser economic scale such as Hainan,Qinghai and Ningxia,the grey-water footprint and carbon dioxide emissions were smaller.Shanxi and Inner Mongolia were the main regions where net gray-water footprint and carbon emission outflowed,while Guangdong,Zhe-jiang and Jiangsu are the main regions net gray water footprint inflowed,and the degree of regional development and transpor-tation factors were the main reasons for those differences;and the inter-provincial grey-water footprint and CO2 spatial corre-lations in all of the regions were within the spatial correlation network,and the individual characteristics indicated that the re-gions of small economic scale in northwest were dominated by spillover effect,and for the regions of larger economic scale,the relationship of receiving the spillover were the main feature,which had been caused by the flow of products or services.Hopefully,the results obtained from the study could provide a basis for the formulation of scientific water resources man-agement and carbon reduction policy.
reducing pollution and carbongray water footprintCO2multi-regional input-output modelsocial network analysis model
万方数据
维普
