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作 者:汪振双[1] 王宇飞 覃飞 刘景矿[2] WANG Zhenshuang;WANG Yufei;QIN Fei;LIU Jingkuang(School of Investment and Construction Management,Dongbei University of Finance and Economics,Dalian 116025,China;School of Management,Guangzhou University,Guangzhou 510006,China)
机构地区:[1]东北财经大学投资工程管理学院,辽宁大连116025 [2]广州大学管理学院,广东广州510006
出 处:《工程管理学报》2024年第6期26-32,共7页Journal of Engineering Management
基 金:国家社会科学基金项目(22BGL187)。
摘 要:建筑废弃物资源化是减污降碳协同增效的重点领域。本文在2006—2021年中国建筑废弃物资源化碳减排潜力测算基础上,运用莫兰指数和地理加权回归模型对建筑废弃物资源化碳减排潜力时空特征、空间相关性和影响因素时空异质性进行研究。结果表明:中国建筑废弃物资源化碳减排潜力区域差异显著,总体表现出“东高西低”“南高北低”的特征。建筑废弃物资源化碳减排潜力存在显著的空间差异,呈现明显的空间聚集格局。GWR模型的R2值均高于OLS模型的R2值,GWR的回归结果表明建筑废弃物资源化碳减排潜力的影响因素存在明显的时空异质性特征。The resource utilization of construction waste is a key area for synergistic efficiency reduction and carbon reduction.Based on the calculation of carbon reduction potential of construction waste in China from 2006 to 2021,exploratory spatial analysis and geographically weighted regression model were used to study the spatial-temporal characteristics,spatial correlation,and spatial-temporal heterogeneity of carbon reduction potential of construction waste.The results show that there are significant spatial differences in the carbon reduction potential of construction waste,presenting a clear spatial clustering pattern in China.the carbon reduction potential of construction waste in China has an overall pattern of“high in the east and low in the west”and“high in the south and low in the north”..The R2 values of the GWR model are higher than those of the OLS model,and the GWR model can better explain the impact mechanism of carbon reduction potential of construction waste.The regression results of GWR indicate significant spatial-temporal heterogeneity of the influencing factors of carbon reduction potential.
关 键 词:建筑废弃物 碳减排潜力 异质性 地理加权回归模型 驱动因素
分 类 号:X322[环境科学与工程—环境工程]
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