Arid Land Geography ›› 2023, Vol. 46 ›› Issue (10): 1704-1713.doi: 10.12118/j.issn.1000-6060.2023.090
• Regional Development • Previous Articles Next Articles
SHENG Yanchao1(),TAN Zuosi1(),LI Qian1,XU Lingling2
Received:
2023-03-02
Revised:
2023-04-04
Online:
2023-10-25
Published:
2023-11-10
SHENG Yanchao, TAN Zuosi, LI Qian, XU Lingling. Can the digital economy promote the resilience of the tourism economy in the Yellow River Basin?[J].Arid Land Geography, 2023, 46(10): 1704-1713.
Tab. 1
Descriptive statistics of variables"
变量类别 | 变量名称 | 变量 | 观测值 | 均值 | 标准差 | 最小值 | 最大值 |
---|---|---|---|---|---|---|---|
被解释变量 | 旅游经济韧性 | Res | 1053 | 0.1044 | 0.0687 | 0.0286 | 0.4022 |
解释变量 | 数字经济 | Dec | 1053 | 0.0606 | 0.0569 | 0.0050 | 0.3465 |
控制变量 | 经济密度 | Eco | 1053 | 0.1824 | 0.2101 | 0.0013 | 1.6121 |
金融发展水平 | Fin | 1053 | 0.9304 | 0.6989 | 0.1028 | 8.2914 | |
市场规模 | Mar | 1053 | 0.3478 | 0.1098 | 0.0172 | 0.8260 | |
政府支持 | Gov | 1053 | 0.2033 | 0.1346 | 0.0183 | 1.0268 | |
人口规模 | Peo | 1053 | 0.0414 | 0.0281 | 0.0019 | 0.1296 | |
机制变量 | 要素流动 | Fac | 1053 | 0.1884 | 0.1289 | 0.0226 | 0.9645 |
创新能力 | Ski | 1053 | 0.5972 | 1.2010 | 0.0000 | 9.4974 |
Tab. 2
Index system of the resilience of tourism economy"
评价目标 | 一级指标 | 二级指标 | 指标计算 | 属性 | 权重 |
---|---|---|---|---|---|
旅游经济韧性 | 抵抗力 | 旅游资源禀赋 | A级景区指数 | + | 0.0871 |
旅游经济规模 | 旅游收入占GDP比重 | + | 0.0518 | ||
旅游总人次 | + | 0.0763 | |||
游客人均旅游花费 | + | 0.0323 | |||
地方经济基础 | 人均GDP | + | 0.0387 | ||
第三产业增加值占GDP比重 | + | 0.0136 | |||
恢复力 | 旅游经济投入 | 旅游固定资产 | + | 0.1098 | |
旅游接待 | 旅游从业人数 | + | 0.0952 | ||
旅游基础设施 | 每万人拥有公厕数 | + | 0.1072 | ||
人均拥有道路面积 | + | 0.0424 | |||
生态环境 | 建成区绿地覆盖率 | + | 0.0044 | ||
生活垃圾无害化处理率 | + | 0.0051 | |||
污水处理厂集中处理率 | + | 0.0046 | |||
更新力 | 旅游专业院校情况 | 普通高等学校数 | + | 0.1515 | |
财政一般预算内支出中教育支出 | + | 0.1355 | |||
旅游专业人才情况 | 高等学校在校生人数 | + | 0.0444 |
Tab. 4
Benchmark regression results and robustness test results of digital economy affecting tourism economic resilience"
变量 | 基准回归 | 稳健型检验 | |||
---|---|---|---|---|---|
回归1 | 回归2 | 回归3 | 回归4 | ||
Dec | 0.3457***(6.68) | 0.3086***(6.42) | - | - | |
L.Dec | - | - | 0.2822***(4.16) | - | |
Treated | - | - | - | 0.0105*(1.78) | |
Eco | - | 0.0310*(1.84) | 0.0275(1.64) | 0.0620***(2.98) | |
Fin | - | 0.0048*(1.90) | 0.0035(1.55) | 0.0048(1.44) | |
Mar | - | 0.0564***(3.13) | 0.0692***(4.01) | 0.0652***(3.44) | |
Gov | - | 0.0102(0.96) | 0.0105(0.91) | 0.0162(1.56) | |
Peo | - | 0.0335(1.23) | 0.0487*(1.68) | 0.0446(1.48) | |
Constant | 0.0530***(18.10) | 0.0279***(4.00) | 0.0285***(3.85) | 0.0288***(3.67) | |
控制变量 | 否 | 是 | 是 | 是 | |
观测值 | 1053 | 1053 | 972 | 1053 | |
R2 | 0.748 | 0.762 | 0.743 | 0.735 | |
固定效应 | 是 | 是 | 是 | 是 |
Tab. 6
Heterogeneity analysis of digital economy affecting tourism economic resilience"
变量 | 上游 | 中游 | 下游 | 优秀旅游城市 | 非优秀旅游城市 |
---|---|---|---|---|---|
回归9 | 回归10 | 回归11 | 回归12 | 回归13 | |
Dec | 0.3860**(2.76) | 0.4087***(5.66) | 0.1506***(5.02) | 0.2834***(5.40) | 0.1788*(1.82) |
控制变量 | 是 | 是 | 是 | 是 | 是 |
观测值 | 351 | 403 | 299 | 715 | 338 |
R2 | 0.735 | 0.810 | 0.826 | 0.820 | 0.625 |
固定效应 | 是 | 是 | 是 | 是 | 是 |
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