Modelling the Impact of Tourism on Mental Health of Chinese Residents: An Empirical Study

Table 1

Descriptive statistics of variables.

Variable	Variable definitions	Mean	Max	Min	SD	N
Life depression	The sample description “I do not think life can go on” represents the mood variable of “sadness.” Assignment: 1 = the mood lasts 3–7 days; 0 = the mood lasts 0–2 days	0.030	1	0	0.172	24015
Lntravel	The sample description “per capita tourism expenditure in the family” is the explanatory variable that adopts the logarithmic form.	1.309	11.23	0	2.633	24015
Lnmetotal	The sample description “total medical expenses” adopts the logarithmic form.	4.461	13.00	0	3.399	24015
Lnincome	The sample description “all revenues from the work” adopts the logarithmic form.	2.306	16.15	0	4.243	24015
Exercise frequency	The sample description “frequency of doing exercise” takes week as the computing cycle	1.892	50	0	2.894	24015
Dependency ratio	(Elderly population + juvenile population)/labor force population	0.287	6	0	0.549	24015
Employment	The sample description “current state of work”; assignment 1 = in employment; 0 = out of labor force market	0.901	1	0	0.299	24015
Job nature	The sample description “job nature”; assignment 1 = agricultural job; 0 = non-agricultural job	0.458	1	0	0.498	24015
Age	The sample description “age”	44.519	89	16	14.271	24015
Single	The sample description “single”; the sample assignment is 1.	0.103	1	0	0.304	24015
Ever-married	The sample description “ever-married”; the sample assignment is 2.	0.875	1	0	0.330	24015
Cohabitation	The sample description “cohabitation”; the sample assignment is 3.	0.004	1	0	0.062	24015
Divorce	The sample description “divorce”; the sample assignment is 4.	0.018	1	0	0.132	24015
Education	The sample description “highest education completed by the interviewee”; from the illiterate to the doctorate, the assignment ranges from 1 to 9.	2.706	8	1	1.395	24015

Source: 2016 Chinese Family Panel Studies (CFPS).