摘要
本文通过多次实验,选取空间自相关程度最为显著的距离阈值,设定空间权重矩阵,使得空间权重矩阵更加符合我国城市分布特征,充分体现人口在城市集聚过程中的空间自回归机制,并结合广义空间模型和广义空间两阶段最小二乘法,实证探查“大城市病”成因,研究发现:就业机会、流通经济布局和公共服务的空间非均衡是导致人口过度集聚,从而引致“大城市病”的显著相关因素,并针对以上因素给出了对策建议。
By using spatial models with lag and error and through many experiments,this paper uses distance threshold which can maximize spatial autocorrelation,instead of setting spatial weight matrix by adjacent boundaries,making measurement better suit the features of our country′s cities distribution to explore the reasons for big city disease empirically.It finds that distribution of public service distribution and spatial non-equilibrium are factors for excessive population agglomeration and therefore big city disease,and provides solutions for the factors mentioned above.
作者
齐子翔
吕永强
王亚欣
QI Zi-xiang;LV Yong-qiang;WANG Ya-xin(School of Economics,Beijing Wuzi University,Beijing 101149,China;School of Surveying and Geo-Informatics,Shandong Jianzhu University,Ji′nan 250101,China)
出处
《价值工程》
2022年第1期188-196,共9页
Value Engineering
基金
国家社科基金重大项目“中国产业集群地图系统(CCM)建设与应用研究”(17ZDA055)。
关键词
空间非均衡
空间权重矩阵
广义空间模型
广义空间两阶段最小二乘法
spatial disequilibrium
spatial weights
models with lag and error
generalized spatial two stage least squares estimation