Resources Science, Volume. 42, Issue 4, 723(2020)
Figures & Tables(8)
Fig. 1. A theoretical framework of urban land development intensity
Fig. 3. Local indicators of spatial association (LISA) of urban land development intensity
Table 1. Factors affecting urban land development intensity
View tableView in ArticleTable 1. Factors affecting urban land development intensity
类型 指标选取 测算方法 作用方向 自然本底条件 可开发用地比重（ Dland ）/%运用空间减法来计算：可开发用地比重= 1 - 不可建设土地面积（包括不可建设的湖泊河流水面、不可建设的陡岩石区等）比重-基本农田保护面积比重-已开发用地比重 +/- 社会发展水平 城镇化率（ DUrban ）/%城镇人口/常住总人口 + 交通可达性（ Traffic ）/km依靠主要交通干线,各评价单元到中心城市（上海、南京、杭州、苏州、宁波）的时间和空间距离,具体测算方法参照文献[ 34 ]。+ 经济发展动力 人均GDP（ PGDP ）/(万元/人)人均地区生产总值 + 地均固定资产投资（ FInvest ）/(万元/km2)固定资产投资总额/城市土地面积 + 产业发展高级度（ Indust ）高级度指数（ IH ）= 用于度量第二、三产业相对第一产业转移的效应（θ 1）+ 第二产业向第三产业转移的效应（θ 2）[25 ]- 城市竞争能力 地均财政支出（ Finance ）/(万元/km2)一般公共预算支出/城市土地面积 + 城市行政等级（ Admin ）作为虚拟变量,按照城市行政级别高低,对县（县级市）、地级市、副省级、直辖市城市分别赋值1、2、3、4 +
Table 2. Estimation of Moran’s I of urban land development intensity
View tableView in ArticleTable 2. Estimation of Moran’s I of urban land development intensity
指标 2000 2005 2010 2015 Moran’s I 0.439 0.340 0.397 0.394 Z (I )36.549 31.926 34.525 34.082 E (I )0.003 0.002 0.002 0.002
Table 3. Coefficient matrix of influencing factors
View tableView in ArticleTable 3. Coefficient matrix of influencing factors
Dland DUrban Traffic PGDP FInvest Indust Finance Admin Dland 1 DUrban 0.069 1 Traffic 0.164 0.154 1 PGDP 0.135 0.522 0.164 1 FInvest -0.106 0.019 0.026 0.161 1 Indust 0.347 0.521 0.033 0.179 0.287 1 Finance -0.403 0.147 -0.114 0.201 0.081 0.158 1 Admin 0.137 0.168 0.084 0.073 0.260 0.142 0.047 1
Table 4. Regression results of oridinary least squares (OLS) model
View tableView in ArticleTable 4. Regression results of oridinary least squares (OLS) model
自变量 2000 2005 2010 2015 系数 Sig. 系数 Sig. 系数 Sig. 系数 Sig. 常数项 -0.048 0.166 -0.101 0.122 -0.155 0.040 -0.188 0.010 Dland 0.154 0.000 0.104 0.024 0.096 0.106 0.079 0.225 Durban 0.163 0.035 0.126 0.074 0.204 0.001 0.065 0.312 Traffic 0.125 0.046 0.145 0.075 0.215 0.003 0.226 0.004 PGDP 0.787 0.011 1.121 0.000 0.518 0.000 0.495 0.000 Finvest 0.973 0.047 0.435 0.025 0.425 0.003 0.343 0.001 Indust 0.079 0.477 0.134 0.312 0.266 0.082 0.218 0.059 Finance -0.150 0.790 0.053 0.883 -0.369 0.020 -0.004 0.963 Admin 0.102 0.019 0.054 0.317 0.187 0.000 0.224 0.000 R 20.678 0.625 0.712 0.652 调整 R 20.614 0.529 0.681 0.608 F -statistics19.183 27.308 39.344 32.732 Sig .0.000 0.000 0.000 0.000
Table 5. Regression results of structural equation modeling (SEM)
View tableView in ArticleTable 5. Regression results of structural equation modeling (SEM)
自变量 2000 2005 2010 2015 Model 1 Model 2 Model 3 Model 1 Model 2 Model 3 Model 1 Model 2 Model 3 Model 1 Model 2 Model 3 常数项 -0.207 -0.148** -0.219 -0.020 -0.146 -0.316* -0.215 -0.229* -0.141** -0.318 -0.331* -0.379** Dland 0.135*** 0.155** 0.138*** -0.015 0.170*** 0.130** -0.025* 0.316** 0.115** 0.071 0.198** 0.086 Durban 0.212*** 0.171** 0.317*** 0.132* 0.361*** 0.209*** 0.196** 0.072** Traffic 0.173** 0.124** 0.355*** 0.151* 0.351*** 0.218** 0.324*** 0.231** PGDP 1.007** 0.769** 1.338** 1.127** 0.661*** 0.515* 0.563** 0.501 Finvest 0.926* 0.937* 0.429*** 0.431** 0.503** 0.441** 0.313** 0.348 Indust 0.222** 0.092 0.186 0.140 0.515** 0.302** 0.299** 0.224** Finance 0.510 0.164 0.208* 0.059 0.028** 0.089*** 0.108* 0.012 Admin 0.103* 0.124 0.102 0.115* 0.097** 0.058 0.200** 0.163** 0.188 0.348** 0.209*** 0.228*** Lambda -0.233 -0.181 -0.150 -0.422** -0.017 -0.001 -0.239 -0.204 -0.224 -0.142 -0.117 -0.014 R 20.608 0.606 0.653 0.535 0.693 0.723 0.662 0.718 0.788 0.767 0.722 0.755 LOG L 106.686 106.549 112.252 70.896 90.347 94.935 75.818 84.107 97.158 90.769 78.165 84.077 LR Test0.237 -0.013 -0.006 0.232 0.039 0.045 0.279 -0.011 -0.021 0.004 0.007 0.040 AIC -201.602 -193.202 -207.650 -130.939 -169.841 -173.015 -140.781 -157.360 -177.463 -106.684 -145.475 -151.300 SC -188.002 -187.803 -185.990 -116.499 -155.401 -151.355 -126.341 -142.919 -155.802 -92.244 -131.035 -129.640
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Qingke YANG, Xuejun DUAN, Zhifeng JIN, Lei WANG, Yazhu WANG.
Paper Information
Received: Jul. 31, 2019
Accepted: --
Published Online: Apr. 15, 2021
The Author Email: DUAN Xuejun (xjduan@niglas.ac.cn)
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