Coupling and coordinating relationships between urbanization and infrastructure in the countries around Lake Victoria, Africa

doi:10.3969/j.issn.1004-9479.2023.05.2021510

Abstract

Abstract:

Based on the statistical data from 2008 to 2017, this paper uses the coupling coordination model and obstacle model to study the coupling coordination degree and obstacle degree of urbanization and infrastructure in Tanzania, Uganda and Kenya around Lake Victoria. The results show that the urbanization and infrastructure development levels of the countries around the lake are increasing as a whole, and the infrastructure level of Uganda fluctuates downward, but the change is small. Over a long time, the comprehensive index of urbanization development of the three countries is higher than that of infrastructure development. The coupling coordination degree of the two systems has improved in varying degrees, from on the verge of imbalance to intermediate coupling coordination, but the matching degree of the two systems is still low. The order of obstacle degree of the three countries is as follows: X₉>X₂>（X₁₀/X₆/X₇）>（X₄/X₃）>（X₈/X₁/X₁₁）>X₅. The level of medical care is the biggest obstacle to the sustainable and coordinated development of urbanization in three countries. The results are helpful to understand the current situation of urban infrastructure supply and population matching in African countries, and it provides scientific data for policy-making related to urbanization development.

Key words: urbanization, infrastructure, coupling coordination degree, obstacle degree, developing country

摘要：

采用熵值法构建城市人口与基础设施评价指标体系，运用耦合协调模型和障碍度模型，基于2008—2017年统计数据，对环维多利亚湖三个国家坦桑尼亚、乌干达和肯尼亚人口城市化与基础设施耦合协调度及障碍度进行研究。结果表明：环湖国家城市化和基础设施发展水平大多呈递增趋势，乌干达基础设施水平波动下降，但变幅不大。三个国家人口城市化发展综合指数在多数时间内要高于基础设施发展综合指数，二者的耦合协调度由濒临失调向中级耦合协调转变，但两大系统的匹配程度仍较低。综合三个国家的指标障碍度排序为X₉>X₂>（X₁₀/X₆/X₇）>（X₄/X₃）>（X₈/X₁/X₁₁）>X₅，医疗水平是制约三个国家城市化与基础设施协调发展的最大障碍因素。研究结果有助于认识非洲国家城市基础设施供给水平与人口匹配现状，为城市化发展相关政策制定提供参考。

关键词: 人口城市化, 基础设施, 耦合协调度, 障碍度, 发展中国家

Mingxing QI, Shuang CHEN. Coupling and coordinating relationships between urbanization and infrastructure in the countries around Lake Victoria, Africa[J]. World Regional Studies, 2023, 32(5): 34-45.

祁明星, 陈爽. 环维多利亚湖国家人口城市化与基础设施耦合协调关系研究[J]. 世界地理研究, 2023, 32(5): 34-45.

Figures/Tables 9

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国别	系统层	要素层	指标层	各国的权重
国别	系统层	要素层	指标层	坦桑尼亚	乌干达	肯尼亚
坦桑尼亚	城市化	人口城市化	X_t1城市人口比重/%	0.537 9	0.552 2	0.568 4
	城市化	人口城市化	X_t2城市人口增长率/%	0.462 1	0.447 8	0.431 6
	基础设施	通信	X_t3宽带普及率/%	0.272 2	0.149 7	0.122 5
		交通	X_t4道路网里程/km	0.198 5	0.102 8	0.343 4
		能源	X_t5用电普及率/%	0.097 5	0.093 3	0.069 2
		环境	X_t6基本卫生设施普及率/%	0.073 0	0.118 3	0.072 9
			X_t7使用公厕人数占比/%	0.071 1	0.119 2	0.077 6
			X_t8城市中露天排便人数占比/%	0.073 6	0.112 0	0.077 0
		医疗	X_t9外科专业人员/人	0.089 0	0.086 7	0.071 7
		水利	X_t10安全饮用水普及率/%	0.046 2	0.116 5	0.077 3
		教育	X_t11小学数量/所	0.078 9	0.101 4	0.088 3

国别	系统层	要素层	指标层	各国的权重
国别	系统层	要素层	指标层	坦桑尼亚	乌干达	肯尼亚
坦桑尼亚	城市化	人口城市化	X_t1城市人口比重/%	0.537 9	0.552 2	0.568 4
	城市化	人口城市化	X_t2城市人口增长率/%	0.462 1	0.447 8	0.431 6
	基础设施	通信	X_t3宽带普及率/%	0.272 2	0.149 7	0.122 5
		交通	X_t4道路网里程/km	0.198 5	0.102 8	0.343 4
		能源	X_t5用电普及率/%	0.097 5	0.093 3	0.069 2
		环境	X_t6基本卫生设施普及率/%	0.073 0	0.118 3	0.072 9
			X_t7使用公厕人数占比/%	0.071 1	0.119 2	0.077 6
			X_t8城市中露天排便人数占比/%	0.073 6	0.112 0	0.077 0
		医疗	X_t9外科专业人员/人	0.089 0	0.086 7	0.071 7
		水利	X_t10安全饮用水普及率/%	0.046 2	0.116 5	0.077 3
		教育	X_t11小学数量/所	0.078 9	0.101 4	0.088 3

耦合协调区间	耦合协调等级	耦合协调度区间	耦合协调等级
0.000 0~0.100 0	极度失调衰退	0.500 1~0.600 0	勉强耦合协调
0.100 1~0.200 0	严重失调衰退	0.600 1~0.700 0	初级耦合协调
0.200 1~0.300 0	中度失调衰退	0.700 1~0.800 0	中级耦合协调
0.300 1~0.400 0	轻度失调衰退	0.800 1~0.900 0	良好耦合协调
0.400 1~0.500 0	濒临失调衰退	0.900 1~1.000 0	优质耦合协调

耦合协调区间	耦合协调等级	耦合协调度区间	耦合协调等级
0.000 0~0.100 0	极度失调衰退	0.500 1~0.600 0	勉强耦合协调
0.100 1~0.200 0	严重失调衰退	0.600 1~0.700 0	初级耦合协调
0.200 1~0.300 0	中度失调衰退	0.700 1~0.800 0	中级耦合协调
0.300 1~0.400 0	轻度失调衰退	0.800 1~0.900 0	良好耦合协调
0.400 1~0.500 0	濒临失调衰退	0.900 1~1.000 0	优质耦合协调

时间	人口城市化G(y)			基础设施建设F(x)
时间	坦桑尼亚	乌干达	肯尼亚	坦桑尼亚	乌干达	肯尼亚
2008	0.462 1	0.447 8	0.431 6	0.096 8	0.573 6	0.354 9
2009	0.484 7	0.478 3	0.439 3	0.196 8	0.510 3	0.316 0
2010	0.495 7	0.502 4	0.488 8	0.188 6	0.474 5	0.273 9
2011	0.513 7	0.526 4	0.533 2	0.202 4	0.521 0	0.316 0
2012	0.522 9	0.534 3	0.562 3	0.258 4	0.585 9	0.307 5
2013	0.531 3	0.550 0	0.574 5	0.305 0	0.543 8	0.357 6
2014	0.538 3	0.559 1	0.575 1	0.362 7	0.445 0	0.353 3
2015	0.543 7	0.559 6	0.571 6	0.586 6	0.473 0	0.317 5
2016	0.543 6	0.553 0	0.569 3	0.732 3	0.476 2	0.319 3
2017	0.537 9	0.552 2	0.568 4	0.903 5	0.433 3	0.700 4