粤港澳大湾区碳排放空间特征与碳中和策略  被引量:26

Spatial Characteristics of Carbon Emissions and Carbon Neutralization Strategies for Guangdong-Hong Kong-Macao Greater Bay Area

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作  者:李晓江[1] 何舸[1] 罗彦[1] 黄斐玫 牛宇琛 雷晓寒 刘菁 孙文勇[1] LI Xiaojiang;HE Ge;LUO Yan;HUANG Feimei;NIU Yuchen;LEI Xiaohan;LIU Jing;SUN Wenyong

机构地区:[1]中国城市规划设计研究院深圳分院

出  处:《城市规划学刊》2022年第1期27-34,共8页Urban Planning Forum

基  金:中国工程院战略研究与咨询重大项目“我国城市发展规模及结构战略研究”子课题:“基于资源环境视角的城市规模结构优化研究”(项目编号:2021-XBZD-3)。

摘  要:以粤港澳大湾区为研究对象,分析大湾区和城市样区两个层面的碳排放总量、碳排放效率与人口规模、经济规模、产业结构、空间形态、土地利用等方面的相关性,得出高度融合的产城关系、更合理的用地结构、更高品质的公共服务、后工业化的产业结构、较高人口素质和密度都会相应提升碳排放效率。提出建议:优化国土空间碳排放格局,控制各类用地碳排放强度和总量;加快推进生产体系向绿色低碳循环发展方向转型;全面推进低碳城区、低碳园区、低碳社区建设;进一步完善生态资源的价值核算方法,推动形成跨区域的碳补偿机制完善碳排放交易机制。Taking Guangdong-Hong Kong-Macao Greater Bay Area as the study area and using population data, economic data, land use data, lighting data, carbon emissions and carbon sinks data, carbon emissions and efficiency in both the Greater Bay Area and the urban sample area are studied. The correlations between total carbon emissions and carbon efficiency at different spatial, urban population and economic scales with diverse industrial structures, spatial forms and land use patterns are analyzed. The results show that a highly integrated industrial-urban relationship, more reasonable land use structure, higher quality of public services,post-industrial industrial structure, higher labor quality and population density help improve carbon emission efficiency. The following suggestions are put forward:optimizing the spatial distribution of carbon emissions and controlling carbon emission intensity and land-use size;accelerating the green and low-carbon transformation of the existing production system;comprehensively promoting the development of low-carbon urban areas, low-carbon parks and low-carbon communities;further improving the accounting method of ecological resources,promoting the regional carbon compensation mechanism, and improving the carbon emission trading mechanism.

关 键 词:粤港澳大湾区 碳中和 碳排放效率 转型发展 

分 类 号:TU984[建筑科学—城市规划与设计]

 

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