Tourism and Hospitality Prospects ›› 2019, Vol. 3 ›› Issue (5): 66-83.DOI: 10.12054/lydk.bisu.117
• Research Paper • Previous Articles Next Articles
Received:
2018-06-21
Revised:
2019-07-15
Online:
2019-10-30
Published:
2019-11-25
作者简介:
吴新芳(1993— ),女,江西赣州人,浙江大学管理学院2019级博士研究生,研究方向:旅游经济与休闲经济。E-mail:CLC Number:
Xinfang WU, Xiang WEI. The Study on the Tourism Consumption Effect of Week Break[J]. Tourism and Hospitality Prospects, 2019, 3(5): 66-83.
吴新芳, 魏翔. 周休假的旅游消费效应研究[J]. 旅游导刊, 2019, 3(5): 66-83.
区域 | 人口规模(亿人) | 人口规模占比(%) | 调查城市数量 |
---|---|---|---|
华东 | 3.9 | 28.7 | 4 |
华南 | 1.7 | 12.5 | 2 |
华中 | 2.1 | 15.4 | 2 |
华北 | 1.8 | 13.2 | 1 |
西南 | 1.9 | 14.0 | 2 |
东北 | 1.3 | 9.6 | 3 |
西北 | 0.9 | 6.6 | 2 |
合计 | 13.6 | 100 | 16 |
Tab. 1 The number and distribution of cities of CTLS
区域 | 人口规模(亿人) | 人口规模占比(%) | 调查城市数量 |
---|---|---|---|
华东 | 3.9 | 28.7 | 4 |
华南 | 1.7 | 12.5 | 2 |
华中 | 2.1 | 15.4 | 2 |
华北 | 1.8 | 13.2 | 1 |
西南 | 1.9 | 14.0 | 2 |
东北 | 1.3 | 9.6 | 3 |
西北 | 0.9 | 6.6 | 2 |
合计 | 13.6 | 100 | 16 |
城市级别 | 调查城市 | 所属区域 | 人均GDP(元) | GDP比例(%) | 样本配额 |
---|---|---|---|---|---|
一线城市 | 北京 | 华北 | 159 973 | 10.7% | 870 |
上海 | 华东 | 163 812 | 11.0% | 895 | |
广州 | 华南 | 198 325 | 13.2% | 1 080 | |
二线城市 | 成都 | 西南 | 83 064 | 5.5% | 451 |
武汉 | 华中 | 121 715 | 8.1% | 662 | |
沈阳 | 东北 | 97 136 | 6.5% | 526 | |
西安 | 西北 | 67 370 | 4.5% | 380 | |
南京 | 华东 | 135 976 | 9.1% | 738 | |
三线城市 | 吉林 | 东北 | 55 636 | 3.7% | 300 |
珠海 | 华南 | 169 439 | 11.3% | 919 | |
兰州 | 西北 | 53 401 | 3.6% | 293 | |
扬州 | 华东 | 80 163 | 5.4% | 436 | |
四线城市 | 齐齐哈尔 | 东北 | 21 861 | 1.5% | 121 |
连云港 | 华东 | 37 339 | 2.5% | 202 | |
开封 | 华中 | 26 942 | 1.8% | 146 | |
遵义 | 西南 | 23 817 | 1.6% | 130 | |
样本合计 | 8 149 |
Tab. 2 The survey sample ratio of CTLS
城市级别 | 调查城市 | 所属区域 | 人均GDP(元) | GDP比例(%) | 样本配额 |
---|---|---|---|---|---|
一线城市 | 北京 | 华北 | 159 973 | 10.7% | 870 |
上海 | 华东 | 163 812 | 11.0% | 895 | |
广州 | 华南 | 198 325 | 13.2% | 1 080 | |
二线城市 | 成都 | 西南 | 83 064 | 5.5% | 451 |
武汉 | 华中 | 121 715 | 8.1% | 662 | |
沈阳 | 东北 | 97 136 | 6.5% | 526 | |
西安 | 西北 | 67 370 | 4.5% | 380 | |
南京 | 华东 | 135 976 | 9.1% | 738 | |
三线城市 | 吉林 | 东北 | 55 636 | 3.7% | 300 |
珠海 | 华南 | 169 439 | 11.3% | 919 | |
兰州 | 西北 | 53 401 | 3.6% | 293 | |
扬州 | 华东 | 80 163 | 5.4% | 436 | |
四线城市 | 齐齐哈尔 | 东北 | 21 861 | 1.5% | 121 |
连云港 | 华东 | 37 339 | 2.5% | 202 | |
开封 | 华中 | 26 942 | 1.8% | 146 | |
遵义 | 西南 | 23 817 | 1.6% | 130 | |
样本合计 | 8 149 |
均值 | 标准差 | 中值 | 范围 | |
---|---|---|---|---|
旅游消费(因变量) | ||||
国内旅游总消费 | 7 766.3 | 6 363.4 | 6 100 | 265~84 000 |
交通 | 1 610.0 | 1 613.9 | 1 000 | 0~20 500 |
住宿 | 1 463.7 | 1 358.9 | 1 000 | 0~20 000 |
餐饮 | 1 297.7 | 1 685.7 | 1 000 | 0~61 200 |
门票 | 796.5 | 764.8 | 550 | 0~15 000 |
购物 | 1 886.0 | 2 725.9 | 1 000 | 0~70 000 |
娱乐 | 713.4 | 1 146.1 | 400 | 0~20 000 |
假日结构(核心自变量) | ||||
带薪休假 | 3.0 | 1.0 | 3 | 1~5 |
公共假日 | 19.5 | 4.2 | 22 | 0~22 |
“十一”黄金周 | 6.2 | 1.6 | 7 | 0~7 |
周休假 | 1.8 | 0.4 | 2 | 0.5~3 |
Tab. 3 Statistical characteristics of dependent variables and core independent variables
均值 | 标准差 | 中值 | 范围 | |
---|---|---|---|---|
旅游消费(因变量) | ||||
国内旅游总消费 | 7 766.3 | 6 363.4 | 6 100 | 265~84 000 |
交通 | 1 610.0 | 1 613.9 | 1 000 | 0~20 500 |
住宿 | 1 463.7 | 1 358.9 | 1 000 | 0~20 000 |
餐饮 | 1 297.7 | 1 685.7 | 1 000 | 0~61 200 |
门票 | 796.5 | 764.8 | 550 | 0~15 000 |
购物 | 1 886.0 | 2 725.9 | 1 000 | 0~70 000 |
娱乐 | 713.4 | 1 146.1 | 400 | 0~20 000 |
假日结构(核心自变量) | ||||
带薪休假 | 3.0 | 1.0 | 3 | 1~5 |
公共假日 | 19.5 | 4.2 | 22 | 0~22 |
“十一”黄金周 | 6.2 | 1.6 | 7 | 0~7 |
周休假 | 1.8 | 0.4 | 2 | 0.5~3 |
性别 | 占比 | ||
---|---|---|---|
女 | 50.8% | ||
男 | 49.2% | ||
年龄 | 占比 | ||
18~30 | 24.6 % | ||
31~40 | 28.5% | ||
41~50 | 22.3% | ||
51~60 | 21.3% | ||
60岁以上 | 3.3% | ||
受教育水平 | 占比 | ||
低等 | 0.4% | ||
中等 | 22.0% | ||
高等 | 77.6% | ||
职业 | 占比 | ||
体制内 | 42.3% | ||
体制外 | 57.7% | ||
收入 | |||
均值 | 标准差 | 中值 | 范围 |
7 991.8 | 6 444.9 | 6 000 | 550~100 000 |
Tab. 4 Statistical characteristics of demographic variables
性别 | 占比 | ||
---|---|---|---|
女 | 50.8% | ||
男 | 49.2% | ||
年龄 | 占比 | ||
18~30 | 24.6 % | ||
31~40 | 28.5% | ||
41~50 | 22.3% | ||
51~60 | 21.3% | ||
60岁以上 | 3.3% | ||
受教育水平 | 占比 | ||
低等 | 0.4% | ||
中等 | 22.0% | ||
高等 | 77.6% | ||
职业 | 占比 | ||
体制内 | 42.3% | ||
体制外 | 57.7% | ||
收入 | |||
均值 | 标准差 | 中值 | 范围 |
7 991.8 | 6 444.9 | 6 000 | 550~100 000 |
国内旅游 总消费 | 交通 | 住宿 | 餐饮 | 门票 | 购物 | 娱乐 | |
---|---|---|---|---|---|---|---|
假日类型 | |||||||
带薪休假 | 0.169*** | 0.169*** | 0.156*** | 0.228*** | 0.144*** | 0.290*** | 0.233*** |
(3.87) | (3.19) | (3.35) | (4.89) | (3.17) | (4.11) | (3.45) | |
公共假日 | 0.038 (0.50) | 0.013 (0.14) | 0.150** (2.15) | 0.071 (0.38) | 0.034 (0.45) | —0.166 (—1.58) | —0.234* (—1.95) |
“十一”黄金周 | 0.151** (2.55) | 0.294*** (4.20) | 0.134 (2.26) | 0.156** (2.54) | 0.174*** (2.91) | 0.229*** (3.13) | 0.154* (1.90) |
周休假 | 0.225*** (3.86) | 0.220*** (3.22) | 0.201*** (3.46) | 0.151** (2.44) | 0.080 (1.39) | 0.101 (1.39) | 0.227*** (2.75) |
收入 | 0.394*** (15.62) | 0.313*** (9.60) | 0.397*** (14.23) | 0.321*** (11.45) | 0.313*** (11.25) | 0.545*** (13.34) | 0.278*** (7.18) |
年龄 | —0.064 (—1.14) | 0.011 (0.16) | —0.026 (—1.34) | —0.134** (—2.18) | —0.076 (—1.28) | —0.113 (—1.38) | —0.089 (—1.02) |
性别 (女性为参考) | —0.058** (—2.05) | 0.009 (0.25) | —0.041 (—1.34) | —0.055* (—1.77) | —0.055* (—1.81) | —0.148*** (—3.46) | —0.021 (—0.48) |
受教育水平 (初等为参考) | |||||||
中等 | —0.084 (—0.38) | —0.197 (—0.83) | —0.084 (—0.45) | —0.306 (—1.17) | 0.000 03 (0.00) | —0.141 (—0.42) | —0.044 (—0.06) |
高等 | —0.047 (—0.21) | —0.162 (—0.68) | —0.023 (—0.12) | —0.296 (—1.13) | 0.085 (0.30) | —0.217 (—0.65) | —0.034 (—0.04) |
职业(体制 内为参考) | 0.016 (0.57) | —0.031 (—0.85) | —0.059* (0.06) | 0.019 (0.61) | —0.006 (—0.21) | 0.070 (1.63) | 0.022 (0.50) |
系数 | 4.826*** (12.18) | 3.504*** (7.39) | 2.636*** (8.32) | 3.988*** (9.05) | 3.283*** (7.29) | 2.582*** (4.28) | 4.297*** (4.67) |
F | 35.63 | 20.39 | 33.31 | 22.69 | 20.76 | 25.18 | 9.37 |
p | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
R2 | 0.114 | 0.069 | 0.109 | 0.076 | 0.071 | 0.087 | 0.043 |
Ad—R2 | 0.111 | 0.066 | 0.105 | 0.073 | 0.068 | 0.084 | 0.038 |
观测值数 | 2 776 | 2 762 | 2 745 | 2 772 | 2 714 | 2 656 | 2 100 |
Tab. 5 Results of WLS regression
国内旅游 总消费 | 交通 | 住宿 | 餐饮 | 门票 | 购物 | 娱乐 | |
---|---|---|---|---|---|---|---|
假日类型 | |||||||
带薪休假 | 0.169*** | 0.169*** | 0.156*** | 0.228*** | 0.144*** | 0.290*** | 0.233*** |
(3.87) | (3.19) | (3.35) | (4.89) | (3.17) | (4.11) | (3.45) | |
公共假日 | 0.038 (0.50) | 0.013 (0.14) | 0.150** (2.15) | 0.071 (0.38) | 0.034 (0.45) | —0.166 (—1.58) | —0.234* (—1.95) |
“十一”黄金周 | 0.151** (2.55) | 0.294*** (4.20) | 0.134 (2.26) | 0.156** (2.54) | 0.174*** (2.91) | 0.229*** (3.13) | 0.154* (1.90) |
周休假 | 0.225*** (3.86) | 0.220*** (3.22) | 0.201*** (3.46) | 0.151** (2.44) | 0.080 (1.39) | 0.101 (1.39) | 0.227*** (2.75) |
收入 | 0.394*** (15.62) | 0.313*** (9.60) | 0.397*** (14.23) | 0.321*** (11.45) | 0.313*** (11.25) | 0.545*** (13.34) | 0.278*** (7.18) |
年龄 | —0.064 (—1.14) | 0.011 (0.16) | —0.026 (—1.34) | —0.134** (—2.18) | —0.076 (—1.28) | —0.113 (—1.38) | —0.089 (—1.02) |
性别 (女性为参考) | —0.058** (—2.05) | 0.009 (0.25) | —0.041 (—1.34) | —0.055* (—1.77) | —0.055* (—1.81) | —0.148*** (—3.46) | —0.021 (—0.48) |
受教育水平 (初等为参考) | |||||||
中等 | —0.084 (—0.38) | —0.197 (—0.83) | —0.084 (—0.45) | —0.306 (—1.17) | 0.000 03 (0.00) | —0.141 (—0.42) | —0.044 (—0.06) |
高等 | —0.047 (—0.21) | —0.162 (—0.68) | —0.023 (—0.12) | —0.296 (—1.13) | 0.085 (0.30) | —0.217 (—0.65) | —0.034 (—0.04) |
职业(体制 内为参考) | 0.016 (0.57) | —0.031 (—0.85) | —0.059* (0.06) | 0.019 (0.61) | —0.006 (—0.21) | 0.070 (1.63) | 0.022 (0.50) |
系数 | 4.826*** (12.18) | 3.504*** (7.39) | 2.636*** (8.32) | 3.988*** (9.05) | 3.283*** (7.29) | 2.582*** (4.28) | 4.297*** (4.67) |
F | 35.63 | 20.39 | 33.31 | 22.69 | 20.76 | 25.18 | 9.37 |
p | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
R2 | 0.114 | 0.069 | 0.109 | 0.076 | 0.071 | 0.087 | 0.043 |
Ad—R2 | 0.111 | 0.066 | 0.105 | 0.073 | 0.068 | 0.084 | 0.038 |
观测值数 | 2 776 | 2 762 | 2 745 | 2 772 | 2 714 | 2 656 | 2 100 |
国内旅游总消费 | 交通 | 住宿 | 餐饮 | 门票 | 购物 | 娱乐 | |
---|---|---|---|---|---|---|---|
带薪休假 | 0.124** (2.45) | 0.135** (2.15) | 0.120** (2.20) | 0.130** (2.34) | 0.130** (2.39) | 0.174** (2.28) | 0.148* (1.92) |
公共假日 | 0.077 (0.93) | 0.012 (0.12) | 0.159* (1.78) | 0.034 (0.37) | 0.069 (0.78) | —0.041 (—0.33) | —0.051 (—0.38) |
“十一”黄金周 | 0.151** (2.36) | 0.345*** (4.34) | 0.177** (2.58) | 0.170** (2.43) | 0.205*** (2.99) | 0.202** (2.13) | 0.069 (0.73) |
周休假 | 0.233*** (3.80) | 0.290*** (3.81) | 0.254*** (3.83) | 0.196*** (2.92) | 0.115* (1.75) | 0.180** (1.97) | 0.173** (1.86) |
p | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
F | 28.92 | 16.43 | 27.04 | 16.26 | 14.96 | 20.69 | 6.48 |
R2 | 0.122 | 0.074 | 0.116 | 0.073 | 0.069 | 0.095 | 0.040 |
Ad—R2 | 0.112 | 0.069 | 0.112 | 0.068 | 0.064 | 0.090 | 0.034 |
观测值数 | 2 085 | 2 076 | 2 069 | 2 082 | 2 047 | 1 994 | 1 570 |
Tab. 6 Robustness test for subsamples (eastern cities)
国内旅游总消费 | 交通 | 住宿 | 餐饮 | 门票 | 购物 | 娱乐 | |
---|---|---|---|---|---|---|---|
带薪休假 | 0.124** (2.45) | 0.135** (2.15) | 0.120** (2.20) | 0.130** (2.34) | 0.130** (2.39) | 0.174** (2.28) | 0.148* (1.92) |
公共假日 | 0.077 (0.93) | 0.012 (0.12) | 0.159* (1.78) | 0.034 (0.37) | 0.069 (0.78) | —0.041 (—0.33) | —0.051 (—0.38) |
“十一”黄金周 | 0.151** (2.36) | 0.345*** (4.34) | 0.177** (2.58) | 0.170** (2.43) | 0.205*** (2.99) | 0.202** (2.13) | 0.069 (0.73) |
周休假 | 0.233*** (3.80) | 0.290*** (3.81) | 0.254*** (3.83) | 0.196*** (2.92) | 0.115* (1.75) | 0.180** (1.97) | 0.173** (1.86) |
p | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
F | 28.92 | 16.43 | 27.04 | 16.26 | 14.96 | 20.69 | 6.48 |
R2 | 0.122 | 0.074 | 0.116 | 0.073 | 0.069 | 0.095 | 0.040 |
Ad—R2 | 0.112 | 0.069 | 0.112 | 0.068 | 0.064 | 0.090 | 0.034 |
观测值数 | 2 085 | 2 076 | 2 069 | 2 082 | 2 047 | 1 994 | 1 570 |
国内旅游总消费 | 交通 | 住宿 | 餐饮 | 门票 | 购物 | 娱乐 | |
---|---|---|---|---|---|---|---|
带薪休假 | 0.183*** (3.93) | 0.165*** (2.93) | 0.157*** (3.25) | 0.234*** (4.72) | 0.143*** (2.93) | 0.236*** (3.41) | 0.224*** (3.11) |
公共假日 | 0.045 (0.61) | 0.012 (0.12) | 0.172** (2.13) | 0.059 (0.75) | 0.045 (0.57) | —0.114 (—1.00) | —0.242** (—2.06) |
“十一”黄金周 | 0.140** (2.54) | 0.280*** (4.06) | 0.132** (2.14) | 0.147** (2.53) | 0.174*** (2.87) | 0.211** (2.48) | 0.155 (1.72) |
周休假 | 0.170*** (3.01) | 0.221*** (3.14) | 0.189*** (3.19) | 0.113* (1.86) | 0.071 (1.16) | 0.155* (1.94) | 0.198** (2.40) |
p | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
F | 31.93 | 18.68 | 29.53 | 21.65 | 18.34 | 20.68 | 9.17 |
R2 | 0.116 | 0.069 | 0.111 | 0.074 | 0.071 | 0.083 | 0.044 |
观测值数 | 2 776 | 2 762 | 2 745 | 2 772 | 2 714 | 2 656 | 2 100 |
Tab. 7 Results of robust regression
国内旅游总消费 | 交通 | 住宿 | 餐饮 | 门票 | 购物 | 娱乐 | |
---|---|---|---|---|---|---|---|
带薪休假 | 0.183*** (3.93) | 0.165*** (2.93) | 0.157*** (3.25) | 0.234*** (4.72) | 0.143*** (2.93) | 0.236*** (3.41) | 0.224*** (3.11) |
公共假日 | 0.045 (0.61) | 0.012 (0.12) | 0.172** (2.13) | 0.059 (0.75) | 0.045 (0.57) | —0.114 (—1.00) | —0.242** (—2.06) |
“十一”黄金周 | 0.140** (2.54) | 0.280*** (4.06) | 0.132** (2.14) | 0.147** (2.53) | 0.174*** (2.87) | 0.211** (2.48) | 0.155 (1.72) |
周休假 | 0.170*** (3.01) | 0.221*** (3.14) | 0.189*** (3.19) | 0.113* (1.86) | 0.071 (1.16) | 0.155* (1.94) | 0.198** (2.40) |
p | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
F | 31.93 | 18.68 | 29.53 | 21.65 | 18.34 | 20.68 | 9.17 |
R2 | 0.116 | 0.069 | 0.111 | 0.074 | 0.071 | 0.083 | 0.044 |
观测值数 | 2 776 | 2 762 | 2 745 | 2 772 | 2 714 | 2 656 | 2 100 |
[1] | Abbruzzo A, Brida J G, Scuderi R.Determinants of individual tourist expenditure as a network: Empirical findings from Uruguay[J]. Tourism Management, 2014(43): 36~45. |
[2] | Aguiló E, Rosselló J, Vila M.Length of stay and daily tourist expenditure: A joint analysis[J]. Tourism Management Perspectives, 2017(21): 10~17. |
[3] | Alegre J, Mateo S, Pou L.An analysis of households’ appraisal of their budget constraints for potential participation in tourism[J]. Tourism Management, 2010, 31(1): 45~56. |
[4] | Beaud M, Blayac T, Stéphan M.The impact of travel time variability and travelers’ risk attitudes on the values of time and reliability[J]. Transportation Research Part B: Methodological, 2016(93): 207~224. |
[5] | Bernini C, Cracolici M F.Demographic change, tourism expenditure and life cycle behaviour[J]. Tourism Management, 2015(47): 191~205. |
[6] | Brida J G, Scuderi R.Determinants of tourist expenditure: A review of microeconometric models[J]. Tourism Management Perspectives, 2013(6): 28~40. |
[7] | Craggs R, Schofield P.Expenditure-based segmentation and visitor profiling at The Quays in Salford, UK[J]. Tourism Economics, 2009, 15(1): 243~260. |
[8] | Dayour F, Adongo C A, Taale F.EDeterminants of backpackers’ expenditureE[J]. Tourism Management Perspectives, 2016(17): 36~43. |
[9] | Downward P, Lumsdon L.Tourism transport and visitor spending: A study in the North York Moors National Park, UK[J]. Journal of Travel Research, 2004, 42(4): 415~420. |
[10] | Eugenio-Martin J L, Inchausti-Sintes F. Low-cost travel and tourism expenditures[J]. Annals of Tourism Research, 2016(57): 140~159. |
[11] | Hung W T, Shang J K, Wang F C.Another look at the determinants of tourism expenditure[J]. Annals of Tourism Research, 2012, 39(1): 495~498. |
[12] | Jang S, Bai B, Hong G S, et al.Understanding travel expenditure patterns: A study of Japanese pleasure travelers to the United States by income level[J]. Tourism Management, 2004, 25(3): 331~341. |
[13] | Kim S S, Prideaux B, Chon K.A comparison of results of three statistical methods to understand the determinants of festival participants’ expenditures[J]. International Journal of Hospitality Management, 2010, 29(2): 297~307. |
[14] | Marrocu E, Paci R, Zara A.Micro-economic determinants of tourist expenditure: A quantile regression approach[J]. Tourism Management, 2015(50): 13~30. |
[15] | Rashidi T H, Koo T T R. An analysis on travel party composition and expenditure: A discrete-continuous model[J]. Annals of Tourism Research, 2016(56): 48~64. |
[16] | Thrane C, Farstad E.Domestic tourism expenditures: The non-linear effects of length of stay and travel party size[J]. Tourism Management, 2011, 32(1): 46~52. |
[17] | Wang Y S.Effects of budgetary constraints on international tourism expenditures[J]. Tourism Management, 2014(41): 9~18. |
[18] | Wu B H, Xue L, Morrison A M, et al.Frame analysis on golden week policy reform in China[J]. Annals of Tourism Research, 2012, 39(2): 842~862. |
[19] | York Q Y, Zhang H Q.The determinants of the 1999 and 2007 Chinese Golden Holiday System: A content analysis of official documentation[J]. Tourism Management, 2010, 31(6): 881~890. |
[20] | 程世勇, 李亚鹏. “黄金周”效应的实证分析与假日改革模式[J]. 消费经济, 2007, 23(5): 44~46, 50. |
[21] | 傅晓霞, 吴利学. “长假”拉动消费的作用到底有多大——对假日经济的冷思考[J]. 天津商学院学报, 2003, 23(1): 12~14, 33. |
[22] | 国家统计局. 2018年统计年鉴[EB/OL]. .. 2019-06-24 |
[23] | 廖凯, 徐虹, 杨威, 等. 黄金周休假制度对我国旅游业发展影响的实证研究[J]. 旅游学刊, 2009, 24(10): 12~18. |
[24] | 驴妈妈旅游网. 2018年“年假游”趋势报告[EB/OL]. ., 2018-12-15 |
[25] | 任萍. 黄金周旅游利弊分析[J]. 绵阳师范学院学报, 2007, 26(7): 18~20. |
[26] | 盛正发. “黄金周”旅游可持续发展的关键[J]. 湖南第一师范学报, 2005, 5(4): 73~75. |
[27] | 孙文凯, 陈济冬. 长假制度一定能促进消费吗——论假日消费的“陷阱”[J]. 经济理论与经济管理, 2009,(8): 24~30. |
[28] | 谭亚.《年假出游报告》出炉:九成上班族有意带薪旅游[N].重庆商报, 2017-07-21. |
[29] | 汪德根, Lew A A.国家公园“门票经济”的公益性回归与管理体制改革[J]. 旅游学刊, 2015, 30(5): 11~13. |
[30] | 王兴斌. 带薪休假制度促进休闲旅游产业转型增效[J]. 旅游论坛, 2008, 1(1): 90~93. |
[31] | 阎友兵, 王忠. 关于旅游黄金周的战略思考——基于统计分析的视角[J]. 软科学, 2007, 21(4): 93~97. |
[32] | 易观. 2018中国在线度假旅游市场专题分析[EB/OL]. .. 2018-08-06 |
[33] | 张传统. “黄金周”对我国旅游业的影响及对策研究[J]. 商业研究, 2008,(3): 172~176. |
[34] | 中国产业信息网. 2016年中国周边游市场现状分析及发展趋势预测[EB/OL]. .. 2016-07-26 |
[1] | ZHA Jianping, LI Cheng, TAN Ting, HE Lamei, XU Dandan. Research on Multiple Paths to the Integrated Development of Culture and Tourism: Configuration Analysis Based on the “Demand-Supply-Support” Framework [J]. Tourism and Hospitality Prospects, 2024, 8(1): 30-59. |
[2] | WANG Yuchen. Research on the Mechanism of Time-Limited Promotion on Consumers’ Intention to Purchase in Tourism Livestreaming Marketing from the Perspective of Counterfactual Thinking [J]. Tourism and Hospitality Prospects, 2024, 8(1): 60-81. |
[3] | ZHANG Yi, CUI Jianzhou. Research on Soundscape Quality Optimization of the Grand Canal Cultural Belt Based on Soundscape Preference: A Case Study of Li Canal Cultural Corridor [J]. Tourism and Hospitality Prospects, 2024, 8(1): 82-103. |
[4] | LI Bin, WANG Sha, WANG Jiexiang, LI Liang, YU Zhiyuan, GONG Yitong. Do Rigorous and Disciplined Grounded Theory Research and Case Study [J]. Tourism and Hospitality Prospects, 2024, 8(1): 1-29. |
[5] | LIU Chun, LU Ximing, ZHAO Qi. A Review of the Research on Contactless Services in Tourism and Hospitality [J]. Tourism and Hospitality Prospects, 2024, 8(1): 104-131. |
[6] | XU Hong, ZHANG Xingfa. Human-Land-Industry-Governance: An Integrated Theoretical Framework for Rural Tourism Research [J]. Tourism and Hospitality Prospects, 2023, 7(6): 1-21. |
[7] | SUN Jiuxia, WANG Siya. Rural Revitalization and Urban-Rural Integration from the Perspective of Tourism Philosophy [J]. Tourism and Hospitality Prospects, 2023, 7(6): 22-36. |
[8] | LUO Wenbin, LIU Yangjie. Tourismification of Rural Land Utilization: Theoretical Connotation, Effect Characteristics and Formation Mechanism [J]. Tourism and Hospitality Prospects, 2023, 7(6): 37-58. |
[9] | LU Lin, CHEN Jieqi, BI Shanshan, XU Yan, CUI Jing, FANG Yebing. Tourists’ Nostalgia Perception and Its Influencing Factors of Huizhou Villages [J]. Tourism and Hospitality Prospects, 2023, 7(6): 59-76. |
[10] | XU Fengzeng, WANG Caicai, XI Wei, FENG Lili, ZHU Limin. Relationship and Contract: Study on the Mechanism of Homestay Inn Enterprise’s Participation in Rural Multiple Synergetic Governance [J]. Tourism and Hospitality Prospects, 2023, 7(6): 77-108. |
[11] | SUN Yuanyuan, SHI Shaohua. Research on the Structural Characteristics and Influencing Factors of Urban Tourism Flow Networks along the Grand Canals: Insights from Online Travelogues [J]. Tourism and Hospitality Prospects, 2023, 7(5): 43-65. |
[12] | DUAN Rui, ZOU Tongqian, LIANG Weizhe. A Review of Tourist Destination Image in the Big Data Era: Data, Methods, and Technology [J]. Tourism and Hospitality Prospects, 2023, 7(5): 66-93. |
[13] | WU Xinyang, LIANG Xuecheng, SONG Hang. The Tourist Sensory Experience: A Research Review and Prospects [J]. Tourism and Hospitality Prospects, 2023, 7(5): 94-119. |
[14] | CHEN Ye, MA Jizhen, LI Hengyun, ZHANG Kun, CHEN Gang, JIN Ying, XU Hong, TANG Xiaoyun, CAO Zhihui, PEI Jiahui, PAN Bing. Technology’s Ability to Empower High-quality Tourism Development: Practical Paths and Research Issues [J]. Tourism and Hospitality Prospects, 2023, 7(5): 1-22. |
[15] | WANG Kaiyun, HE Zongwei, ZHAO Xiaoyou, MA Shihan, YE Shun, YING Tianyu. Research on the Formation Path of Unforgettable Experience in the Shared Accommodation Setting [J]. Tourism and Hospitality Prospects, 2023, 7(5): 23-42. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||