Research on the water resources constraint effect and spatial association network for high-quality development of urbanization in the Yellow River Basin

doi:10.3969/j.issn.1004-9479.2025.06.20230674

Abstract

Abstract:

In this paper,the improved hierarchical analysis method based on entropy technology and the improved multi-objective fuzzy affiliation function were used to measure the water resource constraint effect of the high-quality development of urbanization in the Yellow River Basin from 2011 to 2020, and then its spatial correlation network characteristics were analyzed by using the modified gravity model and the social network analysis method. The study shows that： ① From 2011 to 2020, the water resources constraint effect shows an "inverted U"-shaped trend of change， and spatially exhibits the unbalanced characteristic of "upstream＞middle reaches＞downstream". ② The water resources constraint effect in the Yellow River Basin has gradually formed a complex network with the Ningxia Autonomous Region and the junction of the middle and lower reaches of the Yellow River Basin as the double core， and the stability of the network structure has been gradually enhanced， but an obvious hierarchical structure has not yet been formed. ③ The city cluster of Central Plains is at the centre of the correlation network, the city cluster of Shandong Peninsula receives the spillover effect from other plates, and the city clusters of Jinzhong, Hubao, Eyu and Elm, Guanzhong Plain, Lanxi, and the city clusters along the Yellow River of Ningxia overflow in both directions, and they have the function of "regulating" in the network. Optimizing the spatial correlation network of water resources constraint effect is of great significance to reduce the regional water resources constraint effect and improve the quality of urbanization development.

Key words: water constraint effect, high quality development of urbanization, spatial linkage network, social network analysis, Yellow River Basin

摘要：

利用基于熵技术改进的层次分析法和改进的多目标模糊隶属度函数，测度2011—2020年黄河流域城镇化高质量发展的水资源约束效应，采用修正的引力模型和社会网络分析法分析其空间关联网络特征。研究表明：①2011—2020年，水资源约束效应呈现“倒U”形变化趋势，在空间上表现为“上游＞中游＞下游”的不均衡特征；②黄河流域水资源约束效应逐渐形成以宁夏和黄河流域中下游交界处为双核心的复杂网络形态，网络结构稳定性逐步增强；③中原城市群处于关联网络的中心位置，山东半岛城市群承接其他板块的溢出效应，晋中、呼包鄂榆城市群、关中平原、兰西、宁夏沿黄城市群呈双向溢出态势，在网络中具有“调节”功能。研究结论对于实现黄河流域城市水资源的合理调配，提高城镇化发展质量具有一定的参考价值。

关键词: 水资源约束效应, 城镇化高质量发展, 空间关联网络, 社会网络分析, 黄河流域

Li CHEN, Wei YU, Xuebo ZHANG, Jinping SONG, Lizhi JIA. Research on the water resources constraint effect and spatial association network for high-quality development of urbanization in the Yellow River Basin[J]. World Regional Studies, 2025, 34(6): 181-194.

陈立, 于伟, 张学波, 宋金平, 贾立志. 黄河流域城镇化高质量发展的水资源约束效应及其空间关联网络[J]. 世界地理研究, 2025, 34(6): 181-194.

Figures/Tables 9

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总体层（权重）	标准层（权重）	指标层（代号）	属性	指标权重
城镇化高质量发展综合指数 (0.357 2)	创新驱动（0.107 0）	人均GDP(X₁)	正向	0.010 6
		专利授权量(X₂)	正向	0.081 2
		产业高级化指数(X₃)	正向	0.002 1
		R&D经费投入强度(X₄)	正向	0.013 1
	协调有序（0.044 7）	非农产业产值与农业产值之比(X₅)	正向	0.043 9
		城镇与农村可支配收入之比(X₆)	逆向	0.000 4
		城镇登记失业率(X₇)	逆向	0.000 4
	绿色发展（0.007 0）	建成区绿化覆盖率(X₈)	正向	0.001 0
		生活垃圾无害化处理率(X₉)	正向	0.002 5
		工业二氧化硫排放量(X₁₀)	逆向	0.000 6
		一般工业固体废弃物综合利用率(X₁₁)	正向	0.002 9
	开放互通（0.164 7）	进出口总额(X₁₂)	正向	0.066 5
	开放互通（0.164 7）	利用外资投资总额(X₁₃)	正向	0.098 3
	共享繁荣(0.033 8)	人均城市道路面积(X₁₄)	正向	0.003 8
		每百人公共图书馆藏书量（X₁₅）	正向	0.012 1
		教育事业经费占地方财政支出比重(X₁₆)	正向	0.006 8
		万人体育场馆个数（X₁₇）	正向	0.008 8
		每万人拥有医院卫生床位数(X₁₈)	正向	0.002 1
		职工平均工资(X₁₉)	正向	0.000 4
水资源综合指数 (0.642 8)	水资源本底条件(0.522 0)	年降水量(X₂₀)	正向	0.151 0
		水资源总量(X₂₁)	正向	0.119 7
		人均水资源量(X₂₂)	正向	0.158 5
		水资源模数(X₂₃)	正向	0.092 8
	水资源利用程度(0.110 0)	人均用水量(X₂₄)	逆向	0.000 4
		万元GDP用水量(X₂₅)	逆向	0.000 4
		水资源开发利用率(X₂₆)	正向	0.109 3
	水资源质量管理(0.004 3)	生活污水集中处理率(X₂₇)	正向	0.001 5
	水资源质量管理(0.004 3)	工业废水排放总量(X₂₈)	逆向	0.002 8
	水资源压力指数(0.006 4)	农业用水量(X₂₉)	逆向	0.003 9
		工业用水量(X₃₀)	逆向	0.000 1
		总用水量(X₃₁)	逆向	0.002 4

总体层（权重）	标准层（权重）	指标层（代号）	属性	指标权重
城镇化高质量发展综合指数 (0.357 2)	创新驱动（0.107 0）	人均GDP(X₁)	正向	0.010 6
		专利授权量(X₂)	正向	0.081 2
		产业高级化指数(X₃)	正向	0.002 1
		R&D经费投入强度(X₄)	正向	0.013 1
	协调有序（0.044 7）	非农产业产值与农业产值之比(X₅)	正向	0.043 9
		城镇与农村可支配收入之比(X₆)	逆向	0.000 4
		城镇登记失业率(X₇)	逆向	0.000 4
	绿色发展（0.007 0）	建成区绿化覆盖率(X₈)	正向	0.001 0
		生活垃圾无害化处理率(X₉)	正向	0.002 5
		工业二氧化硫排放量(X₁₀)	逆向	0.000 6
		一般工业固体废弃物综合利用率(X₁₁)	正向	0.002 9
	开放互通（0.164 7）	进出口总额(X₁₂)	正向	0.066 5
	开放互通（0.164 7）	利用外资投资总额(X₁₃)	正向	0.098 3
	共享繁荣(0.033 8)	人均城市道路面积(X₁₄)	正向	0.003 8
		每百人公共图书馆藏书量（X₁₅）	正向	0.012 1
		教育事业经费占地方财政支出比重(X₁₆)	正向	0.006 8
		万人体育场馆个数（X₁₇）	正向	0.008 8
		每万人拥有医院卫生床位数(X₁₈)	正向	0.002 1
		职工平均工资(X₁₉)	正向	0.000 4
水资源综合指数 (0.642 8)	水资源本底条件(0.522 0)	年降水量(X₂₀)	正向	0.151 0
		水资源总量(X₂₁)	正向	0.119 7
		人均水资源量(X₂₂)	正向	0.158 5
		水资源模数(X₂₃)	正向	0.092 8
	水资源利用程度(0.110 0)	人均用水量(X₂₄)	逆向	0.000 4
		万元GDP用水量(X₂₅)	逆向	0.000 4
		水资源开发利用率(X₂₆)	正向	0.109 3
	水资源质量管理(0.004 3)	生活污水集中处理率(X₂₇)	正向	0.001 5
	水资源质量管理(0.004 3)	工业废水排放总量(X₂₈)	逆向	0.002 8
	水资源压力指数(0.006 4)	农业用水量(X₂₉)	逆向	0.003 9
		工业用水量(X₃₀)	逆向	0.000 1
		总用水量(X₃₁)	逆向	0.002 4

板块	接收关系数/条				城市数	溢出板块外关系数/条	接受板块关系数/条	期望内部关系占比/%	实际内部关系比例/%
板块	板块Ⅰ	板块Ⅱ	板块Ⅲ	板块Ⅳ	城市数	溢出板块外关系数/条	接受板块关系数/条	期望内部关系占比/%	实际内部关系比例/%
板块Ⅰ	112	16	15	3	13	34	57	15.58	76.71
板块Ⅱ	33	311	22	0	28	55	39	35.06	84.97
板块Ⅲ	24	23	294	61	22	108	57	27.27	73.13
板块Ⅳ	0	0	20	165	15	20	64	18.18	89.19

板块	接收关系数/条				城市数	溢出板块外关系数/条	接受板块关系数/条	期望内部关系占比/%	实际内部关系比例/%
板块	板块Ⅰ	板块Ⅱ	板块Ⅲ	板块Ⅳ	城市数	溢出板块外关系数/条	接受板块关系数/条	期望内部关系占比/%	实际内部关系比例/%
板块Ⅰ	112	16	15	3	13	34	57	15.58	76.71
板块Ⅱ	33	311	22	0	28	55	39	35.06	84.97
板块Ⅲ	24	23	294	61	22	108	57	27.27	73.13
板块Ⅳ	0	0	20	165	15	20	64	18.18	89.19

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