PROGRESS IN GEOGRAPHY ›› 2022, Vol. 41 ›› Issue (2): 214-223.doi: 10.18306/dlkxjz.2022.02.003
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FANG Yelin1(), SU Xueqing1,*(
), HUANG Zhenfang2, CHENG Xuelan1
Received:
2021-04-26
Revised:
2021-09-16
Online:
2022-02-28
Published:
2022-04-28
Contact:
SU Xueqing
E-mail:fangyelin2006@126.com;suxueqing05@163.com
Supported by:
FANG Yelin, SU Xueqing, HUANG Zhenfang, CHENG Xuelan. Spatial spillover effect of urban resilience on tourism economy: A case study of the Yangtze River Delta urban agglomeration[J].PROGRESS IN GEOGRAPHY, 2022, 41(2): 214-223.
Tab.1
Comprehensive evaluation indicator system of urban resilience
目标层 | 一级指标 | 二级指标 | 指标单位 | 权重 |
---|---|---|---|---|
城市韧性 | 经济韧性(JJ) | 人均GDP[ | 元 | 0.032 |
人均财政支出[ | 元 | 0.155 | ||
第三产业占GDP比重[ | % | 0.051 | ||
就业率[ | % | 0.015 | ||
社会韧性(SH) | 每万人在校大学生数[ | 人 | 0.056 | |
每万人医疗卫生机构人数[ | 人 | 0.118 | ||
每万人互联网宽带用户数[ | 户 | 0.076 | ||
每万人拥有公共汽车量[ | 标台 | 0.165 | ||
生态韧性(ST) | 人均公园绿地面积[ | m2 | 0.145 | |
建成区绿化覆盖率[ | % | 0.037 | ||
污水处理率[ | % | 0.010 | ||
生活垃圾无害化处理率[ | % | 0.023 | ||
工程韧性(GC) | 燃气普及率[ | % | 0.015 | |
人均日生活用水量[ | L | 0.018 | ||
人均城市道路面积[ | m2 | 0.030 | ||
建成区排水管道密度[ | km/km2 | 0.054 |
Tab.2
Moran's I value of tourism economy and urban resilience
年份 | 旅游经济Moran's I值 | t值 | 年份 | 城市韧性Moran's I值 | t值 |
---|---|---|---|---|---|
2004 | 0.185* | 1.854 | 2004 | 0.254** | 2.934 |
2006 | 0.067 | 1.595 | 2006 | 0.125* | 1.528 |
2008 | 0.174* | 1.767 | 2008 | 0.099** | 2.531 |
2010 | 0.240** | 2.157 | 2010 | 0.114** | 2.577 |
2012 | 0.205** | 1.972 | 2012 | 0.133 | 1.412 |
2014 | 0.093* | 1.301 | 2014 | 0.127** | 2.695 |
2016 | 0.118* | 1.316 | 2016 | 0.068 | 1.628 |
2018 | 0.118* | 1.591 | 2018 | 0.113** | 2.762 |
Tab.3
Estimated results of spatial econometric models of tourism economy and urban resilience
检验统计量 | 统计值 | P值 | 检验统计量 | 统计值 | P值 |
---|---|---|---|---|---|
LM-spatial lag | 28.050 | <0.001 | Wald-spatial lag | 40.280 | <0.001 |
Robust LM-spatial lag | 6.939 | 0.008 | Wald-spatial error | 33.120 | <0.001 |
LM-spatial error | 32.000 | <0.001 | LR-spatial lag | 37.850 | <0.001 |
Robust LM-spatial error | 10.889 | 0.001 | LR-spatial error | 31.910 | <0.001 |
LR 检验(空间固定效应) | 76.230 | <0.001 | LR 检验(时间固定效应) | 258.760 | <0.001 |
Hausman | 57.210 | <0.001 |
Tab.4
Regression results of spatial panel Durbin model
变量 | 系数 | t值 | 变量 | 系数 | t值 |
---|---|---|---|---|---|
ln JJ | 1.791*** | 23.670 | W×ln JJ | 0.058 | 0.160 |
ln SH | 1.070*** | 11.810 | W×ln SH | -1.726*** | -4.910 |
ln ST | 1.211*** | 4.350 | W×ln ST | 1.715* | 1.790 |
ln GC | -0.135 | -0.360 | W×ln GC | -3.957*** | -2.640 |
ρ | 0.444*** | 4.040 | |||
log likelihood | 394.406 | R2 | 0.862 |
Tab.5
Spatial panel Durbin model effect decomposition results
变量 | 直接效应 | 溢出效应 | 总效应 | |||||
---|---|---|---|---|---|---|---|---|
系数 | t值 | 系数 | t值 | 系数 | t值 | |||
ln JJ | 1.845*** | 25.320 | 1.458*** | 2.940 | 3.303*** | 6.590 | ||
ln SH | 0.980*** | 10.860 | -2.222*** | -3.290 | -1.242* | -1.730 | ||
ln ST | 1.391*** | 4.040 | 4.258* | 1.960 | 5.649** | 2.390 | ||
ln GC | -0.408 | -0.910 | -7.691** | -2.320 | -8.099** | -2.300 |
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