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    Journals >Geographical Research >Volume 39 >Issue 8 >Page 1836 > Article
    • Geographical Research
    • Vol. 39, Issue 8, 1836 (2020)
    Review of urban-rural multi-dimensional integration and influencing factors in China based on the concept of equivalence
    Jianing ZHOU1, Wei ZOU1,*, and Fucang QIN2
    Author Affiliations
  • 1College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China
  • 2College of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010019, China
    • show less
    DOI: 10.11821/dlyj020190572 Cite this Article
    Jianing ZHOU, Wei ZOU, Fucang QIN. Review of urban-rural multi-dimensional integration and influencing factors in China based on the concept of equivalence[J]. Geographical Research, 2020, 39(8): 1836 Copy Citation Text show less
    Promotion of urban-rural integration in China during 2000-2016
    Fig. 1. Promotion of urban-rural integration in China during 2000-2016
    Download full size | View in the Article
    Moran scatter plots of urban-rural integration in China in 2016
    Fig. 2. Moran scatter plots of urban-rural integration in China in 2016
    Download full size | View in the Article
    Hotspot maps of urban-rural integration in China in 2016
    Fig. 3. Hotspot maps of urban-rural integration in China in 2016
    Download full size | View in the Article
    目标维度指标名称计算或说明类型属性
    城乡融合整体水平人口融合非农与农业从业比X1,二三产就业比/一产就业比(%)对比类正向
    就业反差系数X2,城乡居民就业占比差(%)对比类逆向
    教育反差系数X3,城乡初中以上文化程度人员差(万人)对比类逆向
    人口互动程度X4,城乡人口迁移率(%)动力类正向
    人口城镇化水平X5,城镇人口/总人口(%)状态类正向
    空间融合建成区面积比X6,建成区面积/土地总面积(%)状态类正向
    人口密度比X7,城镇人口密度/农村人口密度(%)状态类逆向
    城乡土地配置X8,农地播种面积/建成区面积(%)动力类正向
    城乡空间流通网络X9,铁（公）路运营里程/土地总面积(km/km2)状态类正向
    城乡空间流通主体X10,旅客周转量(亿人次／km)动力类正向
    城乡空间流通媒介X11,私人汽车拥有量/总人口(辆/人)动力类正向
    经济融合城乡人均收入比X12,城镇人均可支配收入/农村人均可支配收入(%)对比类逆向
    城乡工资性收入比X13,城镇人均工资性收入/农村人均工资性收入(%)对比类逆向
    城乡人均消费比X14,城市人均消费/农村人均消费(%)对比类逆向
    恩格尔系数比X15,城市恩格尔系数/农村恩格尔系数(%)对比类正向
    二元对比系数X16,人均一产产值/人均二三产产值(%)对比类正向
    社会融合城乡交通通讯比X17,城镇人均交通通讯支出/农村人均交通通讯支出(%)对比类逆向
    城乡文教娱乐比X18,城镇人均文教娱乐支出/农村人均文教娱乐支出(%)对比类逆向
    城乡基础教育比X19,城镇人均教育经费投入/农村人均教育经费投入(%)对比类逆向
    城乡人均医疗保健比X20,城镇人均医疗保健支出/农村人均医疗保健支出(%)对比类逆向
    城乡人均医师数比X21,城镇人均医师数/农村人均医师数(%)对比类逆向
    城乡养老保险覆盖系数X22,基本养老保险支出/地方财政一般预算支出(%)动力类正向
    城乡失业保险覆盖系数X23,失业参保人数/总人口(%)动力类正向
    生态环境融合城乡生态绿化X24,森林覆盖率(%)状态类正向
    节能减排系数X25,单位GDP能源消费量(吨标准煤/万元)动力类逆向
    污染治理系数X26,单位GDP环境污染治理投资(%)动力类正向
    工业固体废弃物排放量X27,(万t)动力类逆向
    工业废气排放量X28,(亿标m3)动力类逆向
    工业废水排放量X29,(万t)动力类逆向
    Table 1. Evaluation indicators system of urban-rural integration
    空间效应LM检验整体融合人口融合空间融合经济融合社会融合生态环境融合
    参数统计量P值统计量P值统计量P值统计量P值统计量P值统计量P值
    LM-Err检验22.7030.00050.4260.0003.5820.05811.0500.001108.9730.00021.0740.000
    稳健LM-Err检验16.5680.00060.8830.0000.0540.81615.9810.00097.3150.00015.0550.000
    LM-Lag检验10.9520.0010.9470.33128.4710.0000.8510.35613.4300.00091.2180.000
    稳健LM-Lag检验4.8170.02811.4040.00124.9430.0005.7820.0161.7720.18385.1980.000
    Table 2. LM test for spatial model selection
    变量整体融合整体融合(2000—2003年)整体融合(2004—2016年)人口融合空间融合经济融合社会融合生态环境融合
    模型1模型2模型3模型4模型5模型6模型7模型8
    ln(Labtra)0.060***0.186***0.074***-0.007**0.0030.056***0.023***-0.021***
    Lrs0.021*0.0000.0060.0000.004**-0.0020.0080.010***
    ln(Fina)-0.098***0.034-0.107**-0.029***-0.030***-0.037**0.0110.009
    ln(Fai)0.049***-0.0300.048***-0.0000.020***0.010**0.0020.008***
    ln(Edu)0.0170.0020.0150.017***0.007**-0.0070.0040.002
    ln(DC)×ln(Fina)0.025**-0.0110.028*0.010***0.010***0.008-0.008-0.001
    ln(DC)×ln(Fai)-0.014***0.004-0.014***-0.000-0.006***-0.004**0.001-0.002**
    ln(DC)×ln(Edu)-0.0000.002-0.000-0.004***-0.002**0.0030.0030.000
    ln(Fds)0.058***0.0300.0180.004*0.006***0.0060.020***0.011***
    ln(InduA)0.038***-0.038*0.021**-0.0010.010***0.013***0.017***-0.003
    ln(Pergdp)0.034***-0.0180.063***0.004**0.002-0.0050.011*0.006**
    ln(Open)0.009**0.0100.016***-0.0000.0010.0020.005**-0.001
    ln(Indust)0.019**-0.052*0.0150.006***0.008***0.010***-0.0010.003
    lambda0.616***-0.246*0.185*0.189***0.579***0.592***
    rho-0.0200.502***
    Obs510120390510510510510510
    R20.3950.4000.3870.4870.2500.2080.5170.103
    模型选择SEM-FESEM-FESEM-FESEM-FESLM-FESEM-FESEM-FESLM-FE
    Table 3. Baseline estimation based on geospatial adjacency weight matrix
    变量整体融合整体融合(2000—2003年)整体融合(2004—2016年)人口融合空间融合经济融合社会融合生态环境融合
    ln(Labtra)0.056***0.183***0.069***-0.007***0.0030.051***0.023**-0.020***
    Lrs0.021*0.0000.0030.0010.004**-0.0020.011*0.010***
    ln(Fina)-0.081**0.019-0.112**-0.021***-0.036***-0.0230.0090.004
    ln(Fai)0.039***-0.0290.054***-0.0020.022***0.0050.0020.010***
    ln(Edu)0.052***0.0170.0050.012***0.008***-0.0090.018*0.006
    ln(DC)×ln(Fina)0.022*-0.0050.031*0.007***0.012***0.003-0.0070.000
    ln(DC)×ln(Fai)-0.012***0.004-0.017***0.001-0.006***-0.0020.000-0.003***
    ln(DC)×ln(Edu)-0.002-0.0000.001-0.003***-0.003***0.004**0.003-0.001
    ln(Fds)0.032**0.0260.0070.008***0.0000.0020.015**0.019***
    ln(InduA)0.028***-0.048**0.018**0.0000.005***0.012***0.012***0.003
    控制变量控制控制控制控制控制控制控制控制
    rho0.270***-0.004-0.0280.208***0.733***
    lambda-0.1740.369***0.559***
    Obs510120390510510510510510
    R20.5370.3780.3770.5120.2620.2310.5930.217
    模型选择SLM-FESEM-FESEM-FESLM-FESLM-FESEM-FESLM-FESLM-FE
    Table 4. Robust estimation based on geospatial distance weight matrix
    Abstract
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    Jianing ZHOU, Wei ZOU, Fucang QIN. Review of urban-rural multi-dimensional integration and influencing factors in China based on the concept of equivalence[J]. Geographical Research, 2020, 39(8): 1836
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