中国省域城市代谢效率演化及影响因素分析  

Analysis on the evolution and influencing factors of urban metabolic efficiency of Chinese provinces

作　　者：罗啸潇 王婷[1] 廖斌 付江月[1] LUO Xiaoxiao;WANG Ting;LIAO Bin;FU Jiangyue(School of Management,Guizhou University,Guiyang Guizhou 550025;School of Economics and Trade,Hunan University,Changsha Hunan 410079)

机构地区：[1]贵州大学管理学院,贵州贵阳550025 [2]湖南大学经济与贸易学院,湖南长沙410079

出　　处：《环境污染与防治》2021年第12期1625-1630,共6页Environmental Pollution & Control

基　　金：国家社会科学基金资助项目(No.17XGL013);贵州省哲学社会科学规划联合基金资助项目(No.18GZLH03);贵州大学文科重点学科及特色学科重大科研项目(No.GDZT201702)。

摘　　要：运用数据包络分析法中非期望产出的SBM模型对中国2002—2018年省域城市代谢效率进行测算,并分析了时空演化趋势、空间相关性和影响因素。结果表明:中国城市代谢效率呈两极分化,各省域城市代谢效率的空间正相关性逐渐减弱并朝着负相关性趋势发展;全国城市代谢效率增长速度和水平将趋于完全相同的稳态,但省域间城市代谢效率的差异会持续存在;第二产业比重、政府干预、污染治理和经济发展对全国城市代谢效率起显著负向影响,教育水平和对外开放起显著正向影响。The SBM model with undesirable output in data envelopment analysis was used to calculate the urban metabolic efficiency of Chinese provinces from^(2)002 to 2018,and the temporal and spatial evolution trends,spatial correlations and influencing factors were analyzed.The results showed that the metabolic efficiency exhibited polarized regional heterogeneity,and the spatial positive correlation of urban metabolic efficiency in various provinces had gradually weakened and was moving towards a negative correlation trend.The growth rate and level of Chinese urban metabolic efficiency would tend to be exactly the same steady state,but the differences in urban metabolic efficiency between provinces would continue to exist.The proportion of the secondary industry,government intervention,pollution control,and economic development had a significant negative impact on the metabolic efficiency,and the level of education and opening to the outside world had a significant positive impact.

关 键 词：城市代谢 非期望产出 SBM模型 时空演化 影响因素 TOBIT模型 

分 类 号：F299.2[经济管理—国民经济]