The Measurement of High-Quality Development Level of Tourism: Based on the Perspective of Industrial Integration
Abstract
:1. Introduction
2. Literature Review
3. The Construction of an Evaluation Index System for the High-Quality Development of Tourism Industry Based on Industrial Integration
3.1. The Relationship between Tourism Industry Integration and High-Quality Development
3.1.1. The High Consistency of the Integrated Development of the Tourism Industry with High-quality Development
3.1.2. Industry Integration Promotes the High-Quality Development of Tourism
3.1.3. The High-Quality Development of the Tourism Industry Achieved through Multiple Industrial Integration Paths
3.2. The Construction of Index System
3.2.1. Tourism Industry Economy
3.2.2. The Structure of the Tourism Industry
3.2.3. The Integration of the Tourism Industry
3.2.4. The Performance of the Tourism Industry
4. The Measurement of the High-Quality Development Level of Tourism Based on Industrial Integration
4.1. The Measurement Methods, Data Sources and Processing
4.1.1. The Measurement Methods
4.1.2. Data Sources and Processing
4.2. Analysis of the High-Quality Development Level of China’s Tourism Industry
4.2.1. Tourism Industry Economy
4.2.2. The Structure of the Tourism Industry
4.2.3. The Integration of Tourism Industry
4.2.4. The Performance of Tourism Industry
4.3. The Regional Differences of High-Quality Development Level of Tourism Industry Based on Cluster Analysis
4.3.1. The Echelon Division of High-Quality Development Level
4.3.2. The Changes of High-Quality Development
4.3.3. The Main Factors Affecting the Changes of High-Quality Development Level
5. Conclusions and Discussion
- (1)
- This paper proposes an evaluation index system for the high-quality development of the tourism industry, which consists of 4 first-level indicators, 11 second-level indicators, and 28 third-level indicators. The integrated development of the tourism industry provides more abundant tourism resources and tourism services, and better meets the diverse and personal needs of tourists. Therefore, it is incorporated into the evaluation index system as an important indicator for evaluating the high-quality development of the tourism industry. The indicator has the highest weight, and its secondary indicators include the levels of integration of tourism resources, tourism business, and the tourism market;
- (2)
- On the whole, the high-quality development level of China’s tourism industry has improved greatly, and the development gap between cities is large. In terms of sub-dimensions, the tourism industry economy and the performance level of the tourism industry have contributed relatively high, and the structure of the tourism industry and the level of industrial integration urgently need to be improved. Specifically, the 31 provinces and regions are divided into four groups, including three high-level development groups, 11 medium–high- development level groups, 13 medium–low- development level groups, and four low-level development groups. This shows that most regions are still at the stage of developing their tourism industry, which is in line with the actual state of the development of the national tourism industry. The unbalanced and insufficient development of the tourism industry in 31 provincial regions is prominent, and their rankings have been significantly changed. In total, 5 are unchanged, 13 are showing an upward trend, and 13 are showing a downward trend;
- (3)
- The unbalanced and insufficient development of the factors contributing to the high-quality development of the tourism industry is obvious. The provincial regions in the high-level development group have shown the insufficient development of some factors, such as Guangdong, which ranks 1st in the comprehensive ratings and 10th in the country in terms of tourism industry performance. Shanghai, which ranks second in terms of its comprehensive score, ranks second-to-last in the country for the integration of its tourism industry. Jiangsu, which ranks 3rd in terms of its comprehensive score, ranks 15th for tourism industry structure. In provincial regions in the low-level development group, some factors show better competitiveness, such as in Guizhou, which ranks last in terms of its comprehensive score, but its tourism industrial structure ranks 17th; Hainan ranks second-to-last in terms of its comprehensive score, but its industrial performance ranks 4th; Tibet, which is 3rd lowest in terms of its comprehensive score, ranks 8th in industrial performance.
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Primary Indicator (Ai) | Weight (Qi) | Secondary Indicator (Bij) | Weight (Qij) | Tertiary Indicator | Measurement Method | Weight (Qijk) |
---|---|---|---|---|---|---|
tourism industry economy (A1) | 0.18 | economic growth of tourism industry (B11) | 0.62 | total tourism revenue growth (C111) | current year income /general year income | 0.33 |
total domestic tourism revenue growth (C112) | current year income /general year income | 0.29 | ||||
total international tourism revenue growth (C113) | current year income /general year income | 0.38 | ||||
economic contribution of tourism industry (B12) | 0.38 | proportion of tourism in GDP (C121) | added value of tourism/GDP | 0.75 | ||
proportion of inbound tourism in service trade (C122) | foreign exchange income from international tourism/total income in service trade | 0.25 | ||||
tourism industry structure (A2) | 0.28 | the structure of tourism service (B21) | 0.16 | ratio of inbound tourists to domestic tourists (C211) | number of inbound tourists /number of domestic tourists | 0.38 |
ratio of inbound tourists to outbound tourists (C211) | number of inbound tourists/numbers of outbound tourists | 0.62 | ||||
the structure of tourist destination (B22) | 0.35 | proportion of domestic tourists (C221) | number of domestic high-level tourists/total number of domestic tourists | 0.44 | ||
proportion of inbound tourists (C222) | number of inbound overnight tourists for sightseeing and leisure/total number of inbound overnight tourists | 0.56 | ||||
the structure of tourism service (B23) | 0.28 | proportion of destination income (C231) | scenic spot income/total tourism revenue | 0.45 | ||
proportion of inbound tourism shopping and entertainment (C232) | income of inbound tourism in shopping and entertainment/total income of inbound tourism | 0.55 | ||||
the structure of tourism resource (B24) | 0.21 | proportion of high-grade scenic spots (C241) | (number of national 4A and 5A)/total number of scenic spot | 0.68 | ||
proportion of high-grade hotels (C2421) | starred hotel revenue/total accommodation income | 0.32 | ||||
tourism industry integration (A3) | 0.29 | integration degree of tourism resources (B31) | 0.22 | integration degree of tourism resources and industrial resources (C311) | number of national industrial scenic spots/total number of national scenic spots | 0.17 |
integration degree of tourism resources and agricultural resources (C312) | number of national agricultural and rural scenic spots/total number of national scenic spots | 0.28 | ||||
integration degree of tourism resources and cultural resources (C313) | number of national cultural scenic spots/total number of national scenic spots | 0.55 | ||||
integration degree of tourism business (B32) | 0.36 | integration degree of tourism and Internet business (C321) | number of online traveler/total number of travelers | 0.34 | ||
integration degree of tourism and agricultural business (C322) | number of country side tourist/total number of travelers | 0.33 | ||||
integration degree of tourism and performing arts business (C323) | number of performing arts tourists/total number of travelers | 0.33 | ||||
integration degree of tourism market (B33) | 0.42 | integration degree of tourism market (C331) | (total tourism revenue—tourism revenue/total tourism revenue | 0.44 | ||
integration degree of scenic spot industry market (C332) | (total revenue of scenic spot-scenic spot ticket revenue)/total revenue of scenic spot | 0.38 | ||||
integration degree of accommodation market (C333) | (total hotel revenue-hotel accommodation income)/total hotel revenue | 0.18 | ||||
tourism industry performance (A4) | 0.25 | profit margin of tourism industry (B41) | 0.58 | profit tax rate of travel agency (C411) | profit tax of travel agency/income of main business of travel agency | 0.28 |
accommodation profit tax rate (C412) | accommodation profits and taxes/income of main business of accommodation | 0.46 | ||||
scenic spot profit tax rate (C413) | profits and taxes of scenic spots/income of main business | 0.26 | ||||
technological progress of tourism industry (B42) | 0.42 | productivity of travel agency industry (C421) | DEA-Malmquist index method | 0.38 | ||
productivity of accommodation (C422) | DEA-Malmquist index method | 0.27 | ||||
productivity of scenic spot industry (C423) | DEA-Malmquist index method | 0.35 |
Province | Year (2011) | Ranking | Year (2018) | Ranking | Average | Ranking |
---|---|---|---|---|---|---|
Guangdong | 0.6082 | 1 | 0.5662 | 1 | 0.5872 | 1 |
Shanghai | 0.5033 | 2 | 0.4913 | 2 | 0.4973 | 2 |
Jiangsu | 0.5018 | 3 | 0.4553 | 3 | 0.4786 | 3 |
Fujian | 0.4723 | 6 | 0.4351 | 5 | 0.4537 | 4 |
Shanxi | 0.4729 | 5 | 0.4343 | 6 | 0.4536 | 5 |
Beijing | 0.4509 | 7 | 0.4285 | 7 | 0.4397 | 6 |
Zhejiang | 0.4773 | 4 | 0.3902 | 16 | 0.4338 | 7 |
Anhui | 0.4244 | 11 | 0.4403 | 4 | 0.4323 | 8 |
Hebei | 0.4428 | 10 | 0.4215 | 10 | 0.4321 | 9 |
Liaoning | 0.4437 | 9 | 0.4071 | 13 | 0.4254 | 10 |
Guangxi | 0.4452 | 8 | 0.3885 | 17 | 0.4169 | 11 |
Shandong | 0.4004 | 13 | 0.4152 | 11 | 0.4078 | 12 |
Sichuan | 0.3985 | 14 | 0.4127 | 12 | 0.4056 | 13 |
Chongqing | 0.3867 | 17 | 0.4235 | 8 | 0.4051 | 14 |
Ningxia | 0.4104 | 12 | 0.3850 | 18 | 0.3977 | 15 |
Inner Mongolia | 0.3582 | 21 | 0.4221 | 9 | 0.3901 | 16 |
Jiangxi | 0.3876 | 16 | 0.3745 | 21 | 0.3810 | 17 |
Xinjiang | 0.3958 | 15 | 0.3658 | 25 | 0.3808 | 18 |
Heilongjiang | 0.3476 | 24 | 0.4012 | 14 | 0.3744 | 19 |
Jilin | 0.3676 | 19 | 0.3725 | 23 | 0.3701 | 20 |
Henan | 0.3257 | 30 | 0.4002 | 15 | 0.3629 | 21 |
Hunan | 0.3776 | 18 | 0.3411 | 28 | 0.3593 | 22 |
Hubei | 0.3380 | 26 | 0.3756 | 19 | 0.3568 | 23 |
Gansu | 0.3380 | 27 | 0.3742 | 22 | 0.3561 | 24 |
Tianjin | 0.3347 | 29 | 0.3747 | 20 | 0.3547 | 25 |
Qinghai | 0.3633 | 20 | 0.3453 | 26 | 0.3543 | 26 |
Yunnan | 0.3420 | 25 | 0.3661 | 24 | 0.3541 | 27 |
Shaanxi | 0.3512 | 23 | 0.3424 | 27 | 0.3468 | 28 |
Tibet | 0.3561 | 22 | 0.3295 | 29 | 0.3428 | 29 |
Hainan | 0.3376 | 28 | 0.3229 | 31 | 0.3303 | 30 |
Guizhou | 0.3034 | 31 | 0.3234 | 30 | 0.3134 | 31 |
Province | Year (2011) | Year (2018) | Average | Province | Year (2011) | Year (2018) | Average |
---|---|---|---|---|---|---|---|
Beijing | 0.3895 | 0.2689 | 0.329 | Hubei | 0.0676 | 0.1160 | 0.092 |
Tianjin | 0.1262 | 0.0541 | 0.090 | Hunan | 0.0748 | 0.0741 | 0.074 |
Hebei | 0.0322 | 0.0414 | 0.037 | Shandong | 1.0000 | 1.0000 | 1.000 |
Shanxi | 0.0408 | 0.0184 | 0.030 | Guangxi | 0.0756 | 0.1354 | 0.106 |
Inner Mongolia | 0.0482 | 0.0620 | 0.055 | Hainan | 0.0270 | 0.0376 | 0.032 |
Liaoning | 0.1951 | 0.0848 | 0.140 | Chongqing | 0.0696 | 0.1068 | 0.088 |
Jilin | 0.0277 | 0.0334 | 0.031 | Sichuan | 0.0427 | 0.0737 | 0.058 |
Heilongjiang | 0.0660 | 0.0262 | 0.046 | Guizhou | 0.0097 | 0.0155 | 0.013 |
Shanghai | 0.4196 | 0.3594 | 0.390 | Yunnan | 0.1157 | 0.2154 | 0.166 |
Jiangsu | 0.4065 | 0.2266 | 0.317 | Tibet | 0.0093 | 0.0120 | 0.011 |
Zhejiang | 0.3266 | 0.1266 | 0.227 | Shaanxi | 0.0931 | 0.1524 | 0.123 |
Anhui | 0.0848 | 0.1554 | 0.120 | Gansu | 0.0013 | 0.0014 | 0.001 |
Fujian | 0.2614 | 0.4432 | 0.352 | Qinghai | 0.0019 | 0.0018 | 0.002 |
Jiangxi | 0.0298 | 0.0363 | 0.033 | Ningxia | 0.0004 | 0.0027 | 0.002 |
Shandong | 0.1834 | 0.1605 | 0.172 | Xinjiang | 0.0335 | 0.0461 | 0.040 |
Henan | 0.0395 | 0.0353 | 0.037 |
Province | Year (2011) | Year (2018) | Average | Province | Year (2011) | Year (2018) | Average |
---|---|---|---|---|---|---|---|
Beijing | 0.4673 | 0.3982 | 0.4328 | Hubei | 0.4347 | 0.4179 | 0.4263 |
Tianjin | 0.2354 | 0.4210 | 0.3282 | Hunan | 0.4419 | 0.3099 | 0.3759 |
Hebei | 0.5481 | 0.4741 | 0.5111 | Guangdong | 0.6288 | 0.5245 | 0.5767 |
Shanxi | 0.6731 | 0.6225 | 0.6478 | Guangxi | 0.6253 | 0.5328 | 0.5791 |
Inner Mongolia | 0.3391 | 0.4918 | 0.4155 | Hainan | 0.3024 | 0.3796 | 0.3410 |
Liaoning | 0.4102 | 0.4374 | 0.4238 | Chongqing | 0.5621 | 0.4828 | 0.5225 |
Jilin | 0.4135 | 0.3314 | 0.3725 | Sichuan | 0.4924 | 0.4910 | 0.4917 |
Heilongjiang | 0.3625 | 0.3698 | 0.3662 | Guizhou | 0.4899 | 0.4228 | 0.4564 |
Shanghai | 0.6560 | 0.6494 | 0.6527 | Yunnan | 0.4313 | 0.4401 | 0.4357 |
Jiangsu | 0.4806 | 0.4600 | 0.4703 | Tibet | 0.4655 | 0.4146 | 0.4401 |
Zhejiang | 0.5131 | 0.4162 | 0.4647 | Shaanxi | 0.3806 | 0.3143 | 0.3475 |
Anhui | 0.5035 | 0.5268 | 0.5152 | Gansu | 0.5039 | 0.4553 | 0.4796 |
Fujian | 0.6381 | 0.3788 | 0.5085 | Qinghai | 0.4948 | 0.4884 | 0.4916 |
Jiangxi | 0.5081 | 0.4404 | 0.4743 | Ningxia | 0.5726 | 0.5107 | 0.5417 |
Shandong | 0.4781 | 0.3693 | 0.4237 | Xinjiang | 0.4731 | 0.4857 | 0.4794 |
Henan | 0.3798 | 0.4474 | 0.4136 |
Province | Year (2011) | Year (2018) | Average | Province | Year (2011) | Year (2018) | Average |
---|---|---|---|---|---|---|---|
Beijing | 0.4536 | 0.5158 | 0.4847 | Hubei | 0.3837 | 0.5025 | 0.4431 |
Tianjin | 0.4725 | 0.4958 | 0.4842 | Hunan | 0.4899 | 0.5318 | 0.5109 |
Hebei | 0.5489 | 0.6319 | 0.5904 | Shandong | 0.4828 | 0.4736 | 0.4782 |
Shanxi | 0.6307 | 0.5197 | 0.5752 | Guangxi | 0.5068 | 0.3621 | 0.4345 |
Inner Mongolia | 0.5805 | 0.6092 | 0.5949 | Hainan | 0.4288 | 0.3403 | 0.3846 |
Liaoning | 0.6269 | 0.5561 | 0.5915 | Chongqing | 0.4227 | 0.6110 | 0.5169 |
Jilin | 0.5159 | 0.6068 | 0.5614 | Sichuan | 0.4831 | 0.5813 | 0.5322 |
Heilongjiang | 0.4536 | 0.6393 | 0.5465 | Guizhou | 0.2147 | 0.4081 | 0.3114 |
Shanghai | 0.3104 | 0.3826 | 0.3465 | Yunnan | 0.3363 | 0.3840 | 0.3602 |
Jiangsu | 0.5902 | 0.5537 | 0.5720 | Tibet | 0.3724 | 0.3758 | 0.3741 |
Zhejiang | 0.5809 | 0.4865 | 0.5337 | Shaanxi | 0.4309 | 0.4757 | 0.4533 |
Anhui | 0.5655 | 0.5896 | 0.5776 | Gansu | 0.3527 | 0.5571 | 0.4549 |
Fujian | 0.4669 | 0.5201 | 0.4935 | Qinghai | 0.3654 | 0.4591 | 0.4123 |
Jiangxi | 0.4443 | 0.5267 | 0.4855 | Ningxia | 0.5155 | 0.5280 | 0.5218 |
Shandong | 0.4643 | 0.6369 | 0.5506 | Xinjiang | 0.5455 | 0.4779 | 0.5117 |
Henan | 0.4571 | 0.5969 | 0.5270 |
Province | Year (2011) | Year (2018) | Average | Province | Year (2011) | Year (2018) | Average |
---|---|---|---|---|---|---|---|
Beijing | 0.4737 | 0.4759 | 0.4748 | Hubei | 0.3712 | 0.3678 | 0.3695 |
Tianjin | 0.4361 | 0.4131 | 0.4246 | Hunan | 0.3933 | 0.3469 | 0.3701 |
Hebei | 0.4974 | 0.3920 | 0.4447 | Guangdong | 0.4483 | 0.4078 | 0.4281 |
Shanxi | 0.3767 | 0.4240 | 0.4004 | Guangxi | 0.4382 | 0.4397 | 0.4390 |
Inner Mongolia | 0.3448 | 0.3863 | 0.3656 | Hainan | 0.4950 | 0.4445 | 0.4698 |
Liaoning | 0.4476 | 0.4323 | 0.4400 | Chongqing | 0.3769 | 0.3676 | 0.3723 |
Jilin | 0.3890 | 0.3909 | 0.3900 | Sichuan | 0.4514 | 0.3735 | 0.4125 |
Heilongjiang | 0.4106 | 0.4302 | 0.4204 | Guizhou | 0.4087 | 0.3354 | 0.3721 |
Shanghai | 0.6165 | 0.5353 | 0.5759 | Yunnan | 0.4116 | 0.3711 | 0.3914 |
Jiangsu | 0.4916 | 0.5007 | 0.4962 | Tibet | 0.4645 | 0.4092 | 0.4369 |
Zhejiang | 0.4254 | 0.4393 | 0.4324 | Shaanxi | 0.4115 | 0.3562 | 0.3839 |
Anhui | 0.4165 | 0.3752 | 0.3959 | Gansu | 0.3776 | 0.3395 | 0.3586 |
Fujian | 0.4447 | 0.3936 | 0.4192 | Qinghai | 0.4737 | 0.3002 | 0.3870 |
Jiangxi | 0.4446 | 0.3675 | 0.4061 | Ningxia | 0.4020 | 0.3534 | 0.3777 |
Shandong | 0.3953 | 0.3930 | 0.3942 | Xinjiang | 0.3965 | 0.3317 | 0.3641 |
Henan | 0.3186 | 0.3818 | 0.3502 |
Echelon | Region |
---|---|
First Echelon | Guangdong, Shanghai, Jiangsu |
Second Echelon | Fujian, Shanxi, Beijing, Zhejiang, Anhui, Hebei, Liaoning, Guangxi, Shandong, Sichuan, Chongqing |
Third Echelon | Ningxia, Inner Mongolia, Jiangxi, Xinjiang, Heilongjiang, Jilin, Henan, Hunan, Hubei, Gansu, Tianjin, Qinghai, Yunnan |
Fourth Echelon | Shaanxi, Tibet, Hainan, Guizhou |
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Lu, Y. The Measurement of High-Quality Development Level of Tourism: Based on the Perspective of Industrial Integration. Sustainability 2022, 14, 3355. https://doi.org/10.3390/su14063355
Lu Y. The Measurement of High-Quality Development Level of Tourism: Based on the Perspective of Industrial Integration. Sustainability. 2022; 14(6):3355. https://doi.org/10.3390/su14063355
Chicago/Turabian StyleLu, Yi. 2022. "The Measurement of High-Quality Development Level of Tourism: Based on the Perspective of Industrial Integration" Sustainability 14, no. 6: 3355. https://doi.org/10.3390/su14063355
APA StyleLu, Y. (2022). The Measurement of High-Quality Development Level of Tourism: Based on the Perspective of Industrial Integration. Sustainability, 14(6), 3355. https://doi.org/10.3390/su14063355