地理学报 ›› 2021, Vol. 76 ›› Issue (6): 1521-1536.doi: 10.11821/dlxb202106014
收稿日期:
2020-03-03
修回日期:
2020-12-19
出版日期:
2021-06-25
发布日期:
2021-08-25
作者简介:
方远平(1974-), 男, 湖南桂东人, 博士, 教授, 中国地理学会会员(S110007124M), 研究方向为知识密集型服务业与区域创新、经济地理与城乡规划。E-mail: fyp21cn@163.com
基金资助:
FANG Yuanping1,2(), BI Doudou3, CHEN Hongyang4, PENG Ting2
Received:
2020-03-03
Revised:
2020-12-19
Published:
2021-06-25
Online:
2021-08-25
Supported by:
摘要:
知识密集型服务业作为国家创新体系的重要组成部分,已经成为促进区域旅游创新发展的关键因素。以中国长三角、珠三角和京津冀城市群为例,运用区位商、数据包络分析法、探索性空间数据分析法和空间计量模型等方法,对知识密集型服务业集聚和旅游创新的时空演变特征与两者之间的空间关联性深入分析。结果表明:① 三大城市群知识密集型服务业集聚特征明显,集聚程度由强到弱依次为珠三角、长三角和京津冀,且城市群内部各城市间的集聚存在不均衡特征。② 三大城市群旅游创新的生产效率变化主要由技术进步推动,旅游创新均表现出一定的空间集聚特征,长三角城市群具有明显空间集聚性,但空间集聚模式存在差异,珠三角和京津冀旅游创新集聚不明显。长三角城市群内部各城市大多属于高高和低低空间集聚模式,珠三角和京津冀城市群内部各城市大多属于高低和低高的空间集聚模式。③ 知识密集型服务业集聚对城市群旅游创新水平的提高具有一定的促进作用但存在地区差异性,三大城市群旅游创新水平呈现空间溢出效应,但其对周边城市的辐射带动作用有待加强。
方远平, 毕斗斗, 陈宏洋, 彭婷. 知识密集型服务业集聚对城市群旅游创新影响的空间效应[J]. 地理学报, 2021, 76(6): 1521-1536.
FANG Yuanping, BI Doudou, CHEN Hongyang, PENG Ting. Spatial effects of knowledge-intensive business services clustering on tourism innovation in urban aggolomerations[J]. Acta Geographica Sinica, 2021, 76(6): 1521-1536.
变量 | 长三角城市群 | 珠三角城市群 | 京津冀城市群 | ||||||
---|---|---|---|---|---|---|---|---|---|
模型1 | 模型2 | 模型3 | 模型1 | 模型2 | 模型3 | 模型1 | 模型2 | 模型3 | |
lnLQ | 0.240*** | 0.239*** | 0.244*** | 0.472*** | 0.500*** | 0.497*** | -0.631 | -0.359 | -0.582 |
lnPGDP | -0.174* | -0.154 | -0.159 | -0.632 | -0.622 | -0.641 | 0.011** | 0.301** | 0.011*** |
lnSTRUC | 0.382*** | 0.379*** | 0.380*** | 0.390*** | 0.435*** | 0.431*** | -0.472 | -0.295 | -0.496 |
lnURBAN | -0.084 | -0.090 | -0.072 | 1.849*** | 1.672*** | 1.660*** | 0.128** | 0.340** | 0.306*** |
lnICT | 0.166*** | 0.169*** | 0.160*** | 0.034** | 0.102*** | 0.083** | -0.119 | -0.095 | -0.170 |
lnTRANS | -0.104 | -0.145* | -0.114 | -0.783 | -0.919 | -0.835 | 0.064** | 0.191*** | 0.093** |
lnMARK | 0.037** | 0.049* | 0.041** | 0.146*** | 0.160*** | 0.167** | 0.091** | 0.023** | 0.077*** |
w×lnLQ | 0.182** | 0.184 | 0.257** | 0.585*** | 0.384 | 0.429 | 0.372 | -0.080 | 0.228** |
w×lnPGDP | 0.082 | 0.203 | 0.141 | 0.717** | 0.128 | 0.173 | 0.040* | -0.364 | -1.385 |
w×lnSTRUC | -0.137 | -0.326* | -0.468** | -0.371** | 0.109 | 0.070 | 0.608*** | 0.772** | 0.924** |
w×lnURBAN | -0.132 | -0.488* | -0.255 | -1.780*** | -2.484*** | -2.436*** | 0.379 | -0.879 | -1.014 |
w×lnICT | -0.004 | -0.062 | -0.070 | -0.119 | 0.355 | 0.268 | 0.090** | 0.257* | 0.255** |
w×lnTRANS | 0.010 | 0.098 | 0.114* | 0.961*** | 0.750* | 0.883* | 0.107* | -0.385 | -0.238** |
w×lnMARK | -0.071* | -0.031 | -0.027 | 0.089 | 0.158 | 0.118 | -0.092 | 0.175** | -0.235 |
w×dep.var | 0.568*** | 0.475*** | 0.538*** | 0.603*** | 0.252** | 0.388*** | 0.623*** | 0.231* | 0.432*** |
R2 | 0.7455 | 0.7357 | 0.7583 | 0.7550 | 0.7698 | 0.7885 | 0.7598 | 0.7503 | 0.7618 |
LogL | 55.814 | 57.379 | 62.388 | 25.114 | 34.729 | 38.174 | 16.054 | 20.086 | 22.048 |
表7
三大城市群时空双固定效应SPDM模型的空间效应分解结果
长三角城市群 | |||
---|---|---|---|
变量 | 直接效应 | 间接效应 | 总效应 |
lnLQ | 0.2160*** | -0.2404 | -0.0244 |
lnPGDP | -0.1526 | 0.1005 | -0.0520 |
lnSTRUC | 0.3202*** | -0.4955 | -0.1753** |
lnURBAN | -0.1375 | -0.5778 | -0.7154 |
lnICT | 0.1660*** | 0.0345* | 0.2005** |
lnTRANS | -0.0994 | 0.1061** | 0.0067* |
lnMARK | 0.0404** | -0.0110*** | 0.0294*** |
珠三角城市群 | |||
变量 | 直接效应 | 间接效应 | 总效应 |
lnLQ | 0.4611*** | -0.3648 | 0.0963* |
lnPGDP | -0.6555 | -0.1320 | -0.7875 |
lnSTRUC | 0.4710** | 0.3886 | 0.8596** |
lnURBAN | 1.3880*** | -2.6992* | -1.2812* |
lnICT | 0.1280** | 0.4501** | 0.5781* |
lnTRANS | -0.7431 | 0.8805 | 0.1373 |
lnMARK | 0.1624* | -0.0655** | 0.0969* |
京津冀城市群 | |||
变量 | 直接效应 | 间接效应 | 总效应 |
lnLQ | -0.5816 | -0.0963 | -0.6779 |
lnPGDP | 0.2053** | -2.2735** | -2.4789** |
lnSTRUC | -0.3938 | 1.2097 | 0.8159 |
lnURBAN | 0.1780*** | -1.5060* | -1.3279 |
lnICT | -0.1470 | 0.3025** | 0.1556* |
lnTRANS | 0.0623** | 0.3315* | 0.3938 |
lnMARK | 0.0521** | -0.3315*** | -0.2795** |
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