• Journal of Natural Resources
  • Vol. 35, Issue 1, 82 (2020)
Da-fang WU, Yue HU, Yan-yan LIU*, and Yi-hua LIU
Author Affiliations
  • School of Geographical Science, Guangzhou University, Guangzhou 510006, China
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    DOI: 10.31497/zrzyxb.20200108 Cite this Article
    Da-fang WU, Yue HU, Yan-yan LIU, Yi-hua LIU. Empirical study on the coupling coordination between development intensity and resources-and-environment carrying capacity of core cities in Pearl River Delta[J]. Journal of Natural Resources, 2020, 35(1): 82 Copy Citation Text show less
    The study area
    Fig. 1. The study area
    Changing of evaluation of resources and environment carrying capacity
    Fig. 2. Changing of evaluation of resources and environment carrying capacity
    Changes of evaluation of resources and environment carrying capacity
    Fig. 3. Changes of evaluation of resources and environment carrying capacity
    The coupling case
    Fig. 4. The coupling case
    The coordination case
    Fig. 5. The coordination case
    目标层准则层指标层单位影响系数




    城市开发强度评价指标体系
    A1人口聚集能力X1年末常住人口数0.115
    X2人口密度人/km2 0.1167
    A2经济发展水平X3地区生产总值0.1135
    X4年末单位从业人数0.1039
    X5财政收入0.0861
    X6工业总资产贡献率%0.1209
    X7资产形成总额0.1209
    A3土地扩张程度X8城市建设用地面积km²0.0601
    X9建成区面积km²0.0601
    A4社会投入水平X10全年固定资产投资0.0683
    X11招商引资0.0346
    Table 1. Evaluation index system of development intensity
    城市开发强度(0, 0.47](0.47, 0.73](0.73, 1]
    等级低强度开发中强度开发高强度开发
    Table 2. Grading of development intensity
    目标层准则层指标层单位影响系数









    资源环境承载力
    评价指标体系
    B1自然资源环境
    支撑力
    Y1耕地面积km20.0562
    Y2人均公园绿地面积m2/人0.0781
    Y3建成区绿化覆盖率%0.0886
    B2社会经济资源
    环境支撑力
    Y4人均GDP元/人0.0411
    Y5城镇居民人均可支配收入元/人0.0512
    Y6第三产业占生产总值比例%0.0371
    Y7 R&D 经费总额0.0886
    Y8建成区道路面积密度%0.0250
    B3资源环境压力Y9户籍迁入人口数0.0910
    Y10人均水资源消耗量t0.0459
    Y11电力消耗量kW∙h0.0744
    Y12工业废水排放量t0.0006
    Y13工业废气排放量m30.0471
    Y14工业固体废物产生量t0.0712
    Y15工业烟(粉)尘排放总量t0.0420
    B4社会润滑力Y16污水处理率%0.0447
    Y17生活垃圾无害化处理率%0.0063
    Y18市政公用设施投资额0.0767
    Y19空气质量达标率%0.0339
    Table 3. Evaluation index system of resources-and-environment carrying capacity
    资源环境承载力(0, 0.42](0.42, 0.7](0.7, 1]
    等级低承载力中承载力高承载力
    Table 4. Grading of resources-and-environment carrying capacity
    耦合度(0, 0.3](0.3, 0.5](0.5, 0.8](0.8, 1]
    等级低水平耦合拮抗耦合磨合耦合高水平耦合
    Table 5. Grading of coupling between development intensity and resources-and-environment carrying capacity
    耦合度协调度等级耦合度协调度等级
    (0, 0.1)极度失调[0.5, 0.6)勉强协调
    [0.1, 0.2)严重失调[0.6, 0.7)初级协调
    [0.2, 0.3)中度失调[0.7, 0.8)中极协调
    [0.3, 0.4)轻度失调[0.8, 0.9)良好协调
    [0.4, 0.5)濒临失调[0.9, 1]优质协调
    Table 6. Grading of coordination between development intensity and resources-and-environment carrying capacity
    城市广州深圳珠海佛山惠州东莞中山江门肇庆
    开发强度0.72160.92240.07810.29390.12510.56900.11340.08190.0548
    开发等级中强度高强度低强度低强度低强度中强度低强度低强度低强度
    Table 7. Development intensity in 2017
    城市广州深圳东莞佛山珠海惠州中山江门肇庆
    2017年0.72160.92240.56900.39390.07810.12510.11340.08190.0548
    2010年0.74720.88200.38870.35250.11010.11300.16050.33000.0609
    2005年0.82060.87960.51130.35940.07240.11080.12360.12290.0907
    Table 8. Changes of development intensity
    城市广州深圳珠海佛山惠州东莞中山江门肇庆
    承载指数0.47890.52760.66990.32380.52470.38350.51440.54260.5113
    等级中等中等中等较低中等较低中等中等中等
    类型经济拉动经济拉动自然拉动转型探索自然拉动转型探索自然拉动自然拉动自然拉动
    Table 9. Grading of resources-and-environment carrying capacity in 2017
    城市广州深圳珠海佛山惠州东莞中山江门肇庆
    耦合度0.71160.80700.51910.45690.47260.60980.46190.46030.4311
    等级磨合耦合高耦合磨合耦合拮抗耦合拮抗耦合磨合耦合拮抗耦合拮抗耦合拮抗耦合
    耦合协调度0.65360.76490.44060.37560.39190.53890.38080.37910.3494
    等级初级协调中级协调濒临失调濒临失调濒临失调勉强协调濒临失调濒临失调濒临失调
    Table 10. Grading of coupling coordination in 2017
    自变量相关化系数自变量相关化系数
    人口聚集能力0.6480自然资源环境承载力0.2630
    经济发展水平-0.1480社会经济承载力0.3050
    土地扩张程度0.3110资源环境压力0.1450
    社会投入水平0.1360社会润滑力0.1620
    Table 11. Regression coefficient of independent variable
    Da-fang WU, Yue HU, Yan-yan LIU, Yi-hua LIU. Empirical study on the coupling coordination between development intensity and resources-and-environment carrying capacity of core cities in Pearl River Delta[J]. Journal of Natural Resources, 2020, 35(1): 82
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