Exploring the path of high-quality development of the tourism industry in the context of smart tourism

The development level measure system of the high quality of the wentravel industry

Primary indicator	Secondary indicator	Tertiary index
Supply level	venter	Number of travel agents; The number of star hotels; A number of scenic spots; The number of casinos
	Public service	The number of art performers; Number of public libraries; The number of cultural pavilions; Museums; Number of public toilets; National key cultural relics protection unit
Innovative ability	Market innovation	The number of innovation in the project; Number of smart spots
	Innovative environment	Human input
		Technology investment; The number of enterprises and technology centers at or above provincial level and the number of practical innovation enterprises; Patent number
		Capital input
Structural coordination	Urban and rural structure	The per capita disposable income of urban residents; The per capita disposable income of rural residents; Consumption expenditure per capita of urban residents; Rural residents per capita consumption expenditure
	Regional structure	The total number of tourists; Travel revenue
Green ecology	Ecological quality	Water quality; Air quality; Forest coverage; Green coverage product; Yellow River wetland area
	Number of ecological spots	The number of nature reserves; Number of forest parks
Openness	Bring in	Number of inbound visitors; Travel foreign exchange income; Practical use of foreign capital; The number of communication activities of the host country
	Get out	The number of exchanges activities in the participating countries

Indicators of the development of high quality of tourism

Influencing Factor	Index Selection	Unit	Variable
Technology Level	Internal Expenses Of R&D Funds	Yuan	x1
Government Support	Cultural And Tourism Fees	Yuan	x2
Regional Economic Level	Regional GDP	Hundred Dollars	x3
Openness	Actual Foreign Investment	Dollars	x4
Consumption Level	Per Capita Disposable Income	Yuan	x5
Communication Level	Postal Capacity	Hundred Dollars	x6

Correlation coefficient and VIF value

Correlation coefficient	Q	x1	x2	x3	x4	x5	x6
Q	1
x1	0.404	1
x2	0.304	0.155	1
x3	0.573	0.137	0.301	1
x4	0.014	0.082	0.058	0.311	1
x5	0.335	0.178	0.299	0.056	0.13	1
x6	0.404	0.155	0.301	0.295	0.596	0.029	1
VIF	8.668	6.306	7.255	5.621	5.654	7.488	6.828

Descriptive statistical analysis of variables

Variable	Mean	Standard Deviation	Aberration
ln x1	14.652	1.328	6.093
ln x2	12.036	0.655	3.735
ln x3	9.691	0.888	4.545
ln x4	3.678	1.655	9.101
ln x5	9.879	0.435	2.265
ln x6	6.625	1.043	5.827
y	0.226	0.129	0.527

The development level of the industry is the result of the horizontal measure

County (city)	Primary indicator					Comprehensive score	Ranking
	Innovative development	Coordinated development	Green development	Open development	Shared development
a	0.9659	0.8658	0.9054	0.8717	0.9987	0.9003	1
b	0.8692	0.8881	0.8926	0.8811	0.689	0.8786	2
c	0.8361	0.757	0.8279	0.8822	0.854	0.8284	3
d	0.8659	0.7594	0.6796	0.8623	0.8711	0.7937	4
e	0.7011	0.8871	0.6753	0.8412	0.7796	0.7793	5
f	0.6643	0.5387	0.3609	0.7442	0.7234	0.5789	6
g	0.536	0.6269	0.5845	0.537	0.4758	0.5696	7
h	0.4177	0.5564	0.5762	0.5734	0.8106	0.5386	8
i	0.5767	0.4738	0.4745	0.5923	0.7274	0.5228	9
j	0.3651	0.5329	0.5249	0.4365	0.4622	0.4572	10
k	0.483	0.409	0.4159	0.5226	0.325	0.463	11
l	0.4602	0.4007	0.4603	0.4688	0.48	0.4462	12
m	0.2672	0.2223	0.2695	0.3493	0.4797	0.2708	13
n	0.1656	0.1695	0.2525	0.2415	0.199	0.2014	14

Moran’s I test results

Year	Moran’s I	Z	P
2009	0.161	2.651	0.003
2010	0.15	2.452	0.008
2011	0.191	2.838	0.002
2012	0.186	2.87	0.003
2013	0.234	3.307	0
2014	0.191	2.811	0.002
2015	0.185	2.843	0.002
2016	0.195	2.897	0.001
2017	0.185	2.858	0.011
2018	0.178	2.737	0.006
2019	0.139	2.322	0.016
2020	0.103	1.979	0.031
2021	0.072	1.687	0.052
2022	0.11	2.02	0.025
2023	0.114	1.94	0.026

Unit root test results

variable	LLC test		Fisher-ADF test
	Statistic	p-vlaue	Statistic	p-vlaue
Q	-6.1418	0.000***	40.5855	0.000***
x1	-5.5624	0.000***	85.0985	0.000***
x2	-5.0835	0.000***	33.8155	0.000***
x3	-4.3033	0.000***	58.4175	0.000***
x4	-13.8104	0.000***	61.5195	0.000***
x5	-16.2047	0.000***	145.4366	0.000***
x6	-17.2311	0.000***	146.5213	0.000***

Robustness test

variable	whole	R1	R2	R3	R4
	FE	FE	FE	FE	Time series regression
	lnq	lnq	lnq	lnq	lnq
x1	0.2242	0.1436	0.3506	0.148	0.582
	(0.013)	(0.381)	(0.04)	(1.203)	(0.459)
x2	0.1936	0.172	0.0063	0.087	0.214
	(0.018)	(0.292)	(0.033)	(0.645)	(0.583)
x3	0.1577	0.088	0.0233	0.42	0.6752
	(0.079)	(0.128)	(0.044)	(1.736)	(0.2935)
x4	0.0242	0.041	0.0123	0.067	0.7936
	(0.019)	(0.038)	(0.079)	(1.207)	(0.168)
x5	0.3071	0.2961	0.3653	0.745	0.1658
	(0.07)	(0.046)	(0.021)	(0.969)	(0.44)
x6	0.2282	0.1446	0.3596	0.152	0.585
	(0.018)	(0.374)	(0.039)	(1.192)	(0.461)
_cons	-0.505	-0.536	-0.2622	-0.426	-0.278
	(0.092)	(0.024)	(0.071)	(-0.338)	(-0.535)
N	151	38	55	34	11
r2	0.8569	0.4312	0.5521	0.6871	0.7215

The index system weight of the development evaluation index of cultural industry

System layer	System layer weight	Index layer	Index weight
Innovative development	0.1755	Number of patent authorization for cultural industry(x1)	0.0659
		The number of academic papers in the cultural industry(x2)	0.0603
		Number of national and provincial cultural industry demonstration garden (base) (x3)	0.0493
Coordinated development	0.1751	The above scale culture service sector revenue ratio(x4)	0.0784
		The ratio of the consumption expenditure per capita of urban and rural residents per capita(x5)	0.0161
		Personal expenditure per capita(x6)	0.0443
		Cultural and media spending is the general public budget expenditure ratio(x7)	0.0363
Green development	0.2745	The total amount of cultural enterprise assets above is (x8)	0.088
		Above scale cultural enterprise capital productivity (x9)	0.0426
		Above scale cultural enterprise labor productivity (x10)	0.0531
		National and provincial intangible cultural heritage (x11)	0.0417
		Number of national and provincial cultural relics protection units (x12)	0.0491
Open development	0.1748	International travel exchange income (x13)	0.088
		Culture and tourism (x14)	0.0544
		Culture and technology (x15)	0.0324
Shared development	0.2001	Urban residents per capita cultural and entertainment spending (x16)	0.0275
		Rural residents per capita cultural and entertainment spending (x17)	0.0299
		The average average public library is the amount of books (x18)	0.0423
		Every 10,000 people have museums, cultural pavilions, and library Numbers (x19)	0.0359
		The number of art performers per 10,000 people (x20)	0.0645

The partition domain returns

variable	whole	R1	R2	R3	R4
	FE	FE	FE	FE	Time series regression
	lnq	lnq	lnq	lnq	lnq
ln x1	0.0783**	0.185**	0.0951**	0.422**	0.1736**
	(0.068)	(0.16)	(0.042)	(1.79)	(0.2869)
ln x2	0.0325**	0.2511	0.0831**	0.068**	0.1187**
	(0.035)	(0.045)	(0.085)	(0.221)	(0.087)
ln x3	0.0662***	0.1286	0.3376**	0.1496**	0.2748
	(0.018)	(0.393)	(0.03)	(1.204)	(0.309)
ln x4	0.0537***	0.1295**	0.1163**	0.149**	0.387**
	(0.025)	(0.294)	(0.089)	(1.362)	(0.2291)
ln x5	0.0583**	0.099**	0.267	0.3365	0.3845
	(0.095)	(0.029)	(0.028)	(1.028)	(0.124)
In x6	0.0517***	0.1145***	0.1163***	0.153***	0.377***
	(0.015)	(0.297)	(0.084)	(1.365)	(0.2381)
_cons	-0 46***	-0.343***	-0.6176***	-0.128***	-0.474***
	0.107	0.047	0.039	-0.458	-0.298
N	151	38	55	34	11
r2	0.371	0.8155	0.4788	0.5911	0.7305