世界地理研究 ›› 2021, Vol. 30 ›› Issue (5): 1024-1035.DOI: 10.3969/j.issn.1004-9479.2021.05.2019591
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
收稿日期:
2019-11-18
修回日期:
2020-12-01
出版日期:
2021-09-30
发布日期:
2021-09-17
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 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
摘要:
深港边界是全球跨境活动最频繁的地区之一。以通过深圳湾口岸前往蛇口消费的香港居民为研究对象,采用定性、定量和空间计量相结合的方法分析香港居民来往深圳的消费模式和行为影响因素,发现在蛇口的跨境港人多来自“新界西”的屯门、元朗、荃湾三地,呈现以公交出行为主、出行频率高、消费低、时间短、老龄化、女性多的特点,其跨境行为主要受到个人年龄及收入、出行距离、区位等因素影响;港人在深港边界的跨境活动开始出现与收入、年龄相关的空间分异现象,呼吁展开针对不同过境群体的进一步研究,厘清其行为特点和影响因素,这将有助于建构粤港“优质生活圈”、促进粤港两地间更便利的跨境活动和更深层次的协作。
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.
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.
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 |
表1 访谈和问卷调查样本结构
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 |
表2 香港18区社会经济信息(2016年)及问卷调查对象居住地分布
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 |
表3 跨境港人在蛇口消费的行为影响因素判定指标
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 |
表4 回归模型结果比较与空间相关性检验
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 |
图4 在蛇口的跨境港人居住地分布影响因素空间回归系数示意图
Fig.4 Spatial regression coefficient of the factors affecting Hong Kong residents’ cross-border shopping activities in Shekou
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