JOURNAL OF NATURAL RESOURCES ›› 2020, Vol. 35 ›› Issue (12): 2888-2900.doi: 10.31497/zrzyxb.20201206
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ZHAN Dong-sheng1(), WU Qian-qian1, YU Jian-hui2,3,4(
), ZHANG Wen-zhong2,3,4, ZHANG Juan-feng1
Received:
2019-09-06
Revised:
2019-11-11
Online:
2020-12-28
Published:
2021-02-28
Contact:
Jian-hui YU
E-mail:zhands@126.com;yujh@igsnrr.ac.cn
ZHAN Dong-sheng, WU Qian-qian, YU Jian-hui, ZHANG Wen-zhong, ZHANG Juan-feng. Spatiotemporal change and influencing factors of resource-based cities' housing prices in China[J].JOURNAL OF NATURAL RESOURCES, 2020, 35(12): 2888-2900.
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Table 2
Globe Moran's I of resource-based cities' housing prices and its change in China"
变量 | Moran's I | Z值 | P值 |
---|---|---|---|
2011年 | 0.085 | 3.2305 | 0.001 |
2012年 | 0.114 | 4.2119 | 0.000 |
2013年 | 0.119 | 4.3074 | 0.000 |
2014年 | 0.133 | 4.7191 | 0.000 |
2015年 | 0.165 | 5.8498 | 0.000 |
2016年 | 0.206 | 7.3935 | 0.000 |
2017年 | 0.246 | 9.1191 | 0.000 |
2018年 | 0.273 | 10.0863 | 0.000 |
2011—2018年变化值 | 0.163852 | 5.9950 | 0.000 |
Table 3
Explanatory variables and their expected direction of resource-based cities' housing prices in China"
维度 | 解释变量 | 变量代码 | 预期影响 |
---|---|---|---|
供给需求 | 人口密度/(人/km2) | PD | + |
人均住房开发投资/元 | PHI | - | |
经济发展 | 人均GDP/元 | PGDP | + |
第三产业比例/% | TIR | + | |
产业集聚 | 采矿业专业化 | SI | - |
多样化 | DI | + | |
人居环境 | 每万人普通小学/个 | PRI | + |
每万人医院数/个 | HOS | + | |
每万人拥有公共汽车/辆 | BUS | + | |
人均公园绿地面积/km2 | GA | + | |
建成区绿化率/% | GR | + | |
环境污染 | 单位GDP工业废水排放量/(t/万元) | IW | - |
单位GDP工业二氧化硫排放量/(t/亿元) | SO2 | - | |
单位GDP工业烟(粉)尘排放量/(t/亿元) | IS | - |
Table 4
Parameter estimate result of Spatial Durbin Model"
解释变量 | Main | t | WX | t |
---|---|---|---|---|
PD | -0.0587 | -1.26 | -0.2430 | -1.13 |
PHI | 0.0380** | 2.25 | 0.0882* | 1.92 |
PGDP | 0.0570** | 2.26 | 0.0660 | 0.43 |
TIR | 0.0004 | 0.26 | -0.0071 | -0.79 |
SI | -0.0081** | -2.40 | 0.0613** | 2.05 |
DI | -0.0239* | -1.80 | -0.1420* | -1.67 |
PRI | 0.0059 | 1.38 | 0.0278 | 1.50 |
HOS | 0.0026 | 1.26 | -0.0219 | -1.01 |
BUS | 0.0006 | 0.60 | -0.0234** | -2.13 |
GA | 0.0019 | 0.34 | -0.0028 | -0.15 |
GR | 0.0001 | -0.20 | 0.0067** | 2.36 |
IW | -0.0018** | -2.03 | 0.0007 | 0.07 |
SO2 | 0.0000 | -0.17 | 0.0008 | 1.57 |
IS | 0.0000 | 0.81 | 0.0000 | -0.22 |
ρ (W×HP) | 0.498*** | Likelihood L | 1080.9237 |
Table 5
Direct and indirect effect estimates of explanatory variables"
解释变量 | 直接效应 | 间接效应 | 总效应 | |||||
---|---|---|---|---|---|---|---|---|
系数 | P值 | 系数 | P值 | 系数 | P值 | |||
PD | -0.0595 | 0.175 | -0.5440 | 0.276 | -0.6035 | 0.225 | ||
PHI | 0.0413** | 0.014 | 0.2270* | 0.091 | 0.2683** | 0.042 | ||
PGDP | 0.0583** | 0.016 | 0.1830 | 0.596 | 0.2413 | 0.487 | ||
TIR | 0.0003 | 0.87 | -0.0152 | 0.469 | -0.0149 | 0.481 | ||
SI | -0.0068** | 0.050 | 0.1160 | 0.134 | 0.1092 | 0.161 | ||
DI | -0.0276** | 0.031 | -0.3170 | 0.115 | -0.3446* | 0.089 | ||
PRI | 0.0066 | 0.141 | 0.0640 | 0.167 | 0.0706 | 0.135 | ||
HOS | 0.0022 | 0.321 | -0.0410 | 0.419 | -0.0388 | 0.451 | ||
BUS | 0.0002 | 0.853 | -0.0490* | 0.064 | -0.0488* | 0.071 | ||
GA | 0.0022 | 0.693 | -0.0071 | 0.848 | -0.0049 | 0.893 | ||
GR | 0.0001 | 0.925 | 0.0139** | 0.031 | 0.0140** | 0.036 | ||
IW | -0.0018* | 0.081 | 0.0003 | 0.99 | -0.0015 | 0.925 | ||
SO2 | 0.0000 | 0.932 | 0.0016 | 0.14 | 0.0016 | 0.148 | ||
IS | 0.0000 | 0.458 | 0.0000 | 0.859 | 0.0000 | 0.889 |
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