World Regional Studies ›› 2021, Vol. 30 ›› Issue (5): 1024-1035.DOI: 10.3969/j.issn.1004-9479.2021.05.2019591
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Hong CHEN1(), Yiting LIN2, Yungang LIU1(), Huiming HUANG3, Qiqi CHEN4, Shiying LIU1, Xiya CHEN1
Received:
2019-11-18
Revised:
2020-12-01
Online:
2021-09-30
Published:
2021-09-17
Contact:
Yungang LIU
陈虹1(), 林伊婷2, 刘云刚1(), 黄慧明3, 陈祁琪4, 刘仕影1, 陈西雅1
通讯作者:
刘云刚
作者简介:
陈虹(1976-),女,讲师,博士,主要从事城市地理、制度变迁和城市规划研究,E-mail: hongchk@foxmail.com。
基金资助:
Hong CHEN, Yiting LIN, Yungang LIU, Huiming HUANG, Qiqi CHEN, Shiying LIU, Xiya CHEN. The characteristics and causes of Hong Kong residents' cross-border shopping activities under the policy of "one country, two systems": A case study of Shekou, Shenzhen[J]. World Regional Studies, 2021, 30(5): 1024-1035.
陈虹, 林伊婷, 刘云刚, 黄慧明, 陈祁琪, 刘仕影, 陈西雅. “一国两制”下香港居民跨境消费行为特征和影响因素研究[J]. 世界地理研究, 2021, 30(5): 1024-1035.
形式 | 居住地 | 属性 | 男 | 女 | 小计 |
---|---|---|---|---|---|
访谈 | 深圳 | 16 | 31 | 47 | |
香港 | 4 | 11 | 15 | ||
小计 | 20 | 42 | 62 | ||
问卷调查 | 香港 | 0—39岁 | 0 | 0 | 0 |
40—49岁 | 1 | 18 | 19 | ||
50—59岁 | 9 | 16 | 25 | ||
60岁以上 | 26 | 31 | 57 | ||
在职 | 13 | 26 | 39 | ||
无业 | - | 3 | 3 | ||
退休 | 23 | 36 | 59 | ||
小计 | 36 | 65 | 101 |
Tab.1 Sample details of interviews and questionnaire surveys
形式 | 居住地 | 属性 | 男 | 女 | 小计 |
---|---|---|---|---|---|
访谈 | 深圳 | 16 | 31 | 47 | |
香港 | 4 | 11 | 15 | ||
小计 | 20 | 42 | 62 | ||
问卷调查 | 香港 | 0—39岁 | 0 | 0 | 0 |
40—49岁 | 1 | 18 | 19 | ||
50—59岁 | 9 | 16 | 25 | ||
60岁以上 | 26 | 31 | 57 | ||
在职 | 13 | 26 | 39 | ||
无业 | - | 3 | 3 | ||
退休 | 23 | 36 | 59 | ||
小计 | 36 | 65 | 101 |
议会区区名 | 与深圳湾口岸的加权平均距离/km | 人口密度 | 家庭收入中位数 | 问卷调查随机样本量 | ||||
---|---|---|---|---|---|---|---|---|
(人/km2) | 排序 | (元*/月) | 排序 | 人数 | 百分比/% | |||
香港岛 | 中西区 | 51 | 19399 | 8 | 29988 | 2 | 0 | 0.00 |
湾仔 | 42.8 | 18268 | 9 | 31446 | 1 | 0 | 0.00 | |
东区 | 50.1 | 29905 | 6 | 24848 | 5 | 2 | 1.98 | |
南区 | 45 | 6901 | 11 | 24990 | 4 | 6 | 5.94 | |
新界西 | 葵青 | 35.3 | 22304 | 7 | 17993 | 15 | 2 | 1.98 |
荃湾 | 27.5 | 5149 | 13 | 23990 | 6 | 8 | 7.92 | |
屯门 | 17.1 | 5903 | 12 | 18326 | 13 | 36 | 35.64 | |
元朗 | 14.4 | 4435 | 14 | 19159 | 12 | 24 | 23.76 | |
离岛 | 73.1 | 895 | 18 | 23074 | 7 | 0 | 0.00 | |
新界东 | 北区 | 36 | 2310 | 16 | 17910 | 16 | 1 | 0.99 |
大埔 | 60.3 | 2233 | 17 | 22491 | 9 | 0 | 0.00 | |
沙田 | 51.4 | 9603 | 10 | 22641 | 8 | 0 | 0.00 | |
西贡 | 54.2 | 3563 | 15 | 27048 | 3 | 3 | 2.97 | |
九龙 | 油尖旺 | 36.5 | 49066 | 2 | 19576 | 11 | 4 | 3.96 |
深水埗 | 34.2 | 43362 | 4 | 16660 | 18 | 6 | 5.94 | |
九龙城 | 43 | 41790 | 5 | 21283 | 10 | 2 | 1.98 | |
黄大仙 | 45.4 | 45724 | 3 | 18326 | 13 | 0 | 0.00 | |
观塘 | 44.7 | 57546 | 1 | 16793 | 17 | 7 | 6.93 |
Tab.2 Social economic information of Hong Kong 18 council districts in 2016 and spatial distribution of questionnaire survey respondents
议会区区名 | 与深圳湾口岸的加权平均距离/km | 人口密度 | 家庭收入中位数 | 问卷调查随机样本量 | ||||
---|---|---|---|---|---|---|---|---|
(人/km2) | 排序 | (元*/月) | 排序 | 人数 | 百分比/% | |||
香港岛 | 中西区 | 51 | 19399 | 8 | 29988 | 2 | 0 | 0.00 |
湾仔 | 42.8 | 18268 | 9 | 31446 | 1 | 0 | 0.00 | |
东区 | 50.1 | 29905 | 6 | 24848 | 5 | 2 | 1.98 | |
南区 | 45 | 6901 | 11 | 24990 | 4 | 6 | 5.94 | |
新界西 | 葵青 | 35.3 | 22304 | 7 | 17993 | 15 | 2 | 1.98 |
荃湾 | 27.5 | 5149 | 13 | 23990 | 6 | 8 | 7.92 | |
屯门 | 17.1 | 5903 | 12 | 18326 | 13 | 36 | 35.64 | |
元朗 | 14.4 | 4435 | 14 | 19159 | 12 | 24 | 23.76 | |
离岛 | 73.1 | 895 | 18 | 23074 | 7 | 0 | 0.00 | |
新界东 | 北区 | 36 | 2310 | 16 | 17910 | 16 | 1 | 0.99 |
大埔 | 60.3 | 2233 | 17 | 22491 | 9 | 0 | 0.00 | |
沙田 | 51.4 | 9603 | 10 | 22641 | 8 | 0 | 0.00 | |
西贡 | 54.2 | 3563 | 15 | 27048 | 3 | 3 | 2.97 | |
九龙 | 油尖旺 | 36.5 | 49066 | 2 | 19576 | 11 | 4 | 3.96 |
深水埗 | 34.2 | 43362 | 4 | 16660 | 18 | 6 | 5.94 | |
九龙城 | 43 | 41790 | 5 | 21283 | 10 | 2 | 1.98 | |
黄大仙 | 45.4 | 45724 | 3 | 18326 | 13 | 0 | 0.00 | |
观塘 | 44.7 | 57546 | 1 | 16793 | 17 | 7 | 6.93 |
一级指标 | 二级指标 | 一级指标 | 二级指标 |
---|---|---|---|
人口 | 人口总数 | 经济条件 | 贫穷住户数 |
人口密度 | 贫穷人口数 | ||
流动居民人数 | 整体贫穷率 | ||
在深圳工作的流动居民人数 | 65岁及以上人口的贫穷率 | ||
住户有新移民的比例 | 非从事经济活动的住户数 | ||
新移民人数 | 非从事经济活动中的料理家务者人数 | ||
65岁及以上的人口数 | 非从事经济活动中的退休人士人数 | ||
65岁以上人口比例 | 家庭住户每月收入中位数 | ||
45岁以上人口比例 | 每月主要职业收入中位数 | ||
社会保障 | 长者抚养比率 | 失业率 | |
经济抚养比率 | 从事较低技术职业的人数 | ||
有领取综合援助的住户数 | 交通成本 | 交通路程长度 | |
有领取长者生活津贴的人数 | 交通时间 | ||
公屋住户数 |
Tab.3 Affecting factors of Hong Kong cross-border shoppers’ behaviors in Shekou
一级指标 | 二级指标 | 一级指标 | 二级指标 |
---|---|---|---|
人口 | 人口总数 | 经济条件 | 贫穷住户数 |
人口密度 | 贫穷人口数 | ||
流动居民人数 | 整体贫穷率 | ||
在深圳工作的流动居民人数 | 65岁及以上人口的贫穷率 | ||
住户有新移民的比例 | 非从事经济活动的住户数 | ||
新移民人数 | 非从事经济活动中的料理家务者人数 | ||
65岁及以上的人口数 | 非从事经济活动中的退休人士人数 | ||
65岁以上人口比例 | 家庭住户每月收入中位数 | ||
45岁以上人口比例 | 每月主要职业收入中位数 | ||
社会保障 | 长者抚养比率 | 失业率 | |
经济抚养比率 | 从事较低技术职业的人数 | ||
有领取综合援助的住户数 | 交通成本 | 交通路程长度 | |
有领取长者生活津贴的人数 | 交通时间 | ||
公屋住户数 |
参数 | OLS | SLM | SEM | GWR | p-value |
---|---|---|---|---|---|
CONSTANT | -0.1634 | 10.1415 | 15.7516 | — | — |
X1-交通路程长度 | -0.3981 | -0.4594 | -0.4513 | [0.4006,-0.3973] | — |
X2-65岁及以上人口的贫穷率 | 0.4499 | 0.1941 | 0.1160 | [0.4329,0.4631] | — |
X3-在深圳工作的流动居民人数 | 0.0012 | 0.0017 | 0.0019 | 0.0012 | — |
Sig. | 6.4274 | 4.8385 | 4.8570 | 6.3931 | — |
Adjusted R2 | 0.5404 | — | — | 0.5454 | — |
R2 | 0.6216 | 0.724254 | 0.722141 | 0.6279 | — |
LogL | -56.7694 | -54.1338 | -54.6522 | — | — |
AIC | 121.539 | 118.268 | 117.304 | — | — |
AICc | 128.539 | — | — | 128.420 | |
SC | 125.1 | 122.719 | 120.866 | — | — |
Koenker(BP) | 5.6172 | — | — | — | 0.1318>0.05 |
F-statistic | 7.6646 | — | — | — | 0.0029<0.01 |
Jarque-Bera | 2.0958 | — | — | — | 0.3507>0.05 |
Lagrange Multiplier(lag) | — | 9.1577 | — | — | 0.0025<0.01 |
Robust LM (lag) | — | 4.5897 | — | — | 0.0321<0.05 |
Lagrange Multiplier(error) | — | — | 4.6354 | — | 0.0313<0.05 |
Robust LM (error) | — | — | 0.0674 | — | 0.7951 |
Tab.4 Regression model results comparisons and spatial correlation test
参数 | OLS | SLM | SEM | GWR | p-value |
---|---|---|---|---|---|
CONSTANT | -0.1634 | 10.1415 | 15.7516 | — | — |
X1-交通路程长度 | -0.3981 | -0.4594 | -0.4513 | [0.4006,-0.3973] | — |
X2-65岁及以上人口的贫穷率 | 0.4499 | 0.1941 | 0.1160 | [0.4329,0.4631] | — |
X3-在深圳工作的流动居民人数 | 0.0012 | 0.0017 | 0.0019 | 0.0012 | — |
Sig. | 6.4274 | 4.8385 | 4.8570 | 6.3931 | — |
Adjusted R2 | 0.5404 | — | — | 0.5454 | — |
R2 | 0.6216 | 0.724254 | 0.722141 | 0.6279 | — |
LogL | -56.7694 | -54.1338 | -54.6522 | — | — |
AIC | 121.539 | 118.268 | 117.304 | — | — |
AICc | 128.539 | — | — | 128.420 | |
SC | 125.1 | 122.719 | 120.866 | — | — |
Koenker(BP) | 5.6172 | — | — | — | 0.1318>0.05 |
F-statistic | 7.6646 | — | — | — | 0.0029<0.01 |
Jarque-Bera | 2.0958 | — | — | — | 0.3507>0.05 |
Lagrange Multiplier(lag) | — | 9.1577 | — | — | 0.0025<0.01 |
Robust LM (lag) | — | 4.5897 | — | — | 0.0321<0.05 |
Lagrange Multiplier(error) | — | — | 4.6354 | — | 0.0313<0.05 |
Robust LM (error) | — | — | 0.0674 | — | 0.7951 |
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