Arid Land Geography ›› 2026, Vol. 49 ›› Issue (7): 1493-1508.doi: 10.12118/j.issn.1000-6060.2025.459
• Regional Development • Previous Articles Next Articles
GAO Ying1(
), ZHOU Keli1, YUAN Yuan1,2(
), SHI Xinru1, WU Jialin1
Received:2025-08-03
Revised:2025-09-09
Online:2026-07-25
Published:2026-07-07
Contact:
YUAN Yuan
E-mail:13183278012@163.com;yuanyuan_8575@163.com
GAO Ying, ZHOU Keli, YUAN Yuan, SHI Xinru, WU Jialin. Spatiotemporal evolution and driving mechanism of coupling coordination between tourism economy and residents’ well-being in the Yellow River Basin[J].Arid Land Geography, 2026, 49(7): 1493-1508.
Tab. 1
Evaluation indicator system for tourism economy and residents’ well-being"
| 一级指标 | 二级指标 | 三级指标 | 单位 | 属性 | 权重 |
|---|---|---|---|---|---|
| 旅游经济 | 旅游经济资源 | A级景区数量 | 个 | 正 | 0.0639 |
| 星级酒店数量 | 个 | 正 | 0.0672 | ||
| 博物馆个数 | 个 | 正 | 0.0911 | ||
| 国家级非物质文化遗产数 | 个 | 正 | 0.0650 | ||
| 旅游经济效益 | 国内旅游收入 | 108元 | 正 | 0.0972 | |
| 旅游总收入 | 108元 | 正 | 0.0991 | ||
| 人均旅游消费 | 元·人-1 | 正 | 0.0350 | ||
| 旅游产值密度 | 104元·km-2 | 正 | 0.1593 | ||
| 旅游经济规模 | 国内旅游人数 | 104人 | 正 | 0.0827 | |
| 旅游总人数 | 104人 | 正 | 0.0831 | ||
| 旅游持续能力 | 旅游总收入增长率 | % | 正 | 0.0107 | |
| 旅游总人数增长率 | % | 正 | 0.0122 | ||
| 旅游总收入占GDP比重增长率 | % | 正 | 0.0202 | ||
| 旅游固定资产 | 108元 | 正 | 0.1133 | ||
| 居民福祉 | 社会保障 | 人均社会消费品总额 | 元·人-1 | 正 | 0.1169 |
| 城镇居民人均可支配收入 | 104元·人-1 | 正 | 0.0685 | ||
| 农村居民人均可支配收入 | 104元·人-1 | 正 | 0.0371 | ||
| 年末单位从业人数 | 人 | 正 | 0.1568 | ||
| 医疗健康 | 每万人医院卫生院床位数 | 张·(104人)-1 | 正 | 0.0359 | |
| 每万人卫生技术人员数 | 人·(104人)-1 | 正 | 0.0612 | ||
| 每万人执业助理医师 | 人·(104人)-1 | 正 | 0.0420 | ||
| 每万人注册护师、护士数 | 人·(104人)-1 | 正 | 0.0409 | ||
| 人居环境 | PM2.5浓度 | μg·m-3 | 负 | 0.0207 | |
| 人均公园绿地面积 | km2·人-1 | 正 | 0.0410 | ||
| 教育科技 | 教育支出占财政支出的比例 | % | 正 | 0.0676 | |
| 公共图书馆数量 | 个 | 正 | 0.1424 | ||
| 数字普惠金融指数 | - | 正 | 0.0539 | ||
| 每百人互联网用户数 | 户·(100人)-1 | 正 | 0.0580 | ||
| 每百人移动电话用户数 | 户·(100人)-1 | 正 | 0.0570 |
Tab. 3
Global Moran’s I for coupling coordination degree between tourism economy and residents’ well-being in the Yellow River Basin from 2013 to 2022"
| 年份 | 全局莫兰指数 | Z得分 | P值 |
|---|---|---|---|
| 2013 | 0.402 | 5.423 | 0.000 |
| 2014 | 0.349 | 5.027 | 0.000 |
| 2015 | 0.375 | 5.063 | 0.000 |
| 2016 | 0.324 | 4.393 | 0.000 |
| 2017 | 0.328 | 4.456 | 0.000 |
| 2018 | 0.332 | 4.034 | 0.000 |
| 2019 | 0.296 | 3.695 | 0.000 |
| 2020 | 0.260 | 3.570 | 0.000 |
| 2021 | 0.314 | 4.280 | 0.000 |
| 2022 | 0.309 | 4.230 | 0.000 |
Tab. 4
Indicator system for coupling and coordinated driving factors of tourism economy and residents’ well-being"
| 系统层 | 准则层 | 指标层 |
|---|---|---|
| 自然禀赋 | 资源禀赋 | 绿化覆盖面积(X1)/hm2 |
| 气候条件 | 年均气温(X2)/℃ | |
| 人口密度 | 单位土地面积人口数(X3)/人·km-2 | |
| 经济发展 | 经济条件 | 地区生产总值(X4)/108元 |
| 投资力度 | 固定资产投资总额(X5)/104元 | |
| 金融发展 | 金融机构贷款余额(X6)/104元 | |
| 社会文明 | 科技创新 | 专利授权数(X7)/件 |
| 交通便利 | 公路密度(X8)/km·km-2 | |
| 政府规制 | 政府财政支出占GDP比重(X9)/% | |
| 投资政策 | 旅游固定资产投资占比(X10)/% |
Tab. 5
Single-factor detection results for coupling coordination degree between tourism economy and residents’ well-being"
| 驱动因子 | 2013年 | 2016年 | 2019年 | 2022年 | 2013—2022年 | |
|---|---|---|---|---|---|---|
| 平均值 | 排序 | |||||
| X1 | 0.628*** | 0.539*** | 0.608*** | 0.639*** | 0.635 | 5 |
| X2 | 0.283*** | 0.282** | 0.251** | 0.301*** | 0.279 | 7 |
| X3 | 0.318*** | 0.283** | 0.265** | 0.335** | 0.300 | 6 |
| X4 | 0.713*** | 0.678*** | 0.710*** | 0.717*** | 0.705 | 1 |
| X5 | 0.713*** | 0.737*** | 0.626*** | 0.644** | 0.680 | 2 |
| X6 | 0.709*** | 0.634*** | 0.671*** | 0.676*** | 0.673 | 3 |
| X7 | 0.693*** | 0.646*** | 0.606*** | 0.716*** | 0.665 | 4 |
| X8 | 0.299*** | 0.253*** | 0.199*** | 0.209** | 0.198 | 10 |
| X9 | 0.324*** | 0.284*** | 0.327*** | 0.287*** | 0.240 | 8 |
| X10 | 0.289** | 0.258*** | 0.159 | 0.207 | 0.228 | 9 |
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