Journal of Resources and Ecology >
Development of Leisure Sports Industry Clusters in Sichuan Province Based on Resource Competitiveness
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GUO Jianying, E-mail: guojianying2024@126.com |
Received date: 2024-09-12
Accepted date: 2024-12-06
Online published: 2025-01-21
Supported by
Sichuan Tourism Development Research Center(LY24-03)
Sichuan Province has abundant leisure sports resources. An evaluation of the competitiveness of its leisure sports resources can provide a scientific basis for the selection and development of leisure sports industry clusters in Sichuan Province. In addition, a competitiveness evaluation index system for leisure sports resources was constructed to assess the competitiveness of leisure sports resources for 21 regions in Sichuan Province. The results showed significant differences among the 21 regions, and they could be divided into three levels. Specifically, the first level included the seven regions of Chengdu, Leshan, Yibin, Mianyang, Zigong, Aba and Luzhou; the second level included the 11 regions of Ya’an, Guangyuan, Ganzi, Neijiang, Deyang, Guang’an, Liangshan, Nanchong,Panzhihua, Bazhong and Dazhou; and the third level included Meishan, Suining and Ziyang. In view of the resource conditions, environmental conditions, and development conditions, Chengdu, Leshan, Yibin, Mianyang, and Zigong were chosen as the most suitable areas for leisure sports industry clusters in Sichuan Province. Furthermore, suggestions for these five potential leisure sports industry clusters were proposed to promote the high-quality development of the sports industry in Sichuan Province.
GUO Jianying , WEI Yating , HU Shiwei . Development of Leisure Sports Industry Clusters in Sichuan Province Based on Resource Competitiveness[J]. Journal of Resources and Ecology, 2025 , 16(1) : 245 -252 . DOI: 10.5814/j.issn.1674-764x.2025.01.022
Table 1 A competitiveness evaluation index system for leisure sports resources and the indicator weights |
| Evaluation target layer (S) | Evaluation comprehensive layer (A) | Evaluation element layer (B) | Evaluation factor layer (C) |
|---|---|---|---|
| Leisure sports resources competitiveness | Resource condition A1 (0.614) | Entertainment value B1 (0.409) | Type diversity C1 (0.068) |
| Quantity C2 (0.124) | |||
| Quality C3 (0.165) | |||
| Density C4 (0.043) | |||
| Interpersonal communication and self-worth B2 (0.052) | Suitable population range C5 (0.043) | ||
| Self-challenging C6 (0.009) | |||
| Resource endowment B3 (0.153) | Fame and influence C7 (0.114) | ||
| Scarcity and uniqueness level C8 (0.039) | |||
| Environmental condition A2 (0.168) | Natural environmental conditions B4 (0.042) | Suitable usage duration C9 (0.023) | |
| Suitable usable area C10 (0.015) | |||
| Environmental capacity C11 (0.004) | |||
| Humanistic environmental conditions B5 (0.126) | Leisure and sports activity atmosphere C12 (0.022) | ||
| Sports competition C13 (0.065) | |||
| Daily average sports and leisure time C14 (0.024) | |||
| Per capita sports venue area C15 (0.015) | |||
| Development condition A3 (0.218) | Location conditions B6 (0.062) | Accessibility C16 (0.032) | |
| Convenient transportation C17 (0.030) | |||
| Social-economic foundation B7 (0.156) | Local economic foundation C18 (0.058) | ||
| Market size C19(0.040) | |||
| Venue construction investment C20 (0.025) | |||
| Policy and regulatory protection C21(0.009) | |||
| Number of leisure sports enterprises C22 (0.024) |
Table 2 Scoring standards for the evaluation factor layer |
| Evaluation factor layer | Five-level Likert scale score | ||||
|---|---|---|---|---|---|
| 5 | 4 | 3 | 2 | 1 | |
| Type diversity C1 (categories) | ≥5 | 4 | 3 | 2 | 1 |
| Quantity C2 (number) | ≥200 | 100-199 | 50-99 | 20-49 | 0-19 |
| Quality C3 | Very good | Good | Medium | Bad | Very bad |
| Density C4 | Very high | High | Medium | Low | Very low |
| Suitable population range C5 | Very wide | Wide | Medium | Narrow | Very narrow |
| Self-challenging C6 | Very high | High | Medium | Low | Very low |
| Fame and influence C7 | Very high | High | Medium | Low | Very low |
| Scarcity and uniqueness level C8 | Very high | High | Medium | Low | Very low |
| Suitable usage duration C9 (months) | ≥9 | 7-8 | 5-6 | 3-4 | 1-2 |
| Suitable use area C10 | Very large | Large | Medium | Small | Very small |
| Environmental capacity C11 | Very high | High | Medium | Low | Very low |
| Leisure and sports activity atmosphere C12 | Very high | High | Medium | Low | Very low |
| Sports competition C13 (provincial-level or above events per year) | ≥10 | 9-10 | 6-8 | 3-5 | 1-2 |
| Daily average sports and leisure time C14 (h) | ≥2 h | 1.5-2 h | 1-1.5 h | 0.6-1 h | ≤0.5 h |
| Per capita sports venue area C15 (m2) | ≥3.6 | 3.1-3.5 | 2.6-3 | 2.1-2.5 | ≤2 |
| Accessibility C16 (types) | 5 | 4 | 3 | 2 | 1 |
| Convenient transportation C17 (km km-2) | ≥2 | 1.5-2 | 1-1.5 | 0.5-1 | ≤0.5 |
| Local economic foundation C18 (per capita GDP, 10000 yuan) | 8-10 | 6-8 | 4-6 | 2-4 | ≤2 |
| Market size C19 (10000 people) | ≥1001 | 801-1000 | 501-800 | 201-500 | ≤200 |
| Venue construction investment C20 | Very high | High | Medium | Low | Very low |
| Policy and regulatory protection C21 | Have | None | |||
| Number of leisure sports enterprises C22 (number) | ≥501 | 401-500 | 301-400 | 201-300 | ≤200 |
Figure 1 Competitiveness of leisure sports resources in Sichuan Province |
Table 3 Evaluation of the competitiveness of leisure sports resources in various regions of Sichuan |
| Region | Comprehensive evaluation | Resource condition | Environmental condition | Development condition |
|---|---|---|---|---|
| Chengdu | 0.9424 | 0.5774 | 0.1534 | 0.2116 |
| Zigong | 0.7230 | 0.5062 | 0.0816 | 0.1352 |
| Panzhihua | 0.6454 | 0.4006 | 0.1238 | 0.1210 |
| Luzhou | 0.7060 | 0.4652 | 0.1066 | 0.1342 |
| Deyang | 0.6708 | 0.4322 | 0.0928 | 0.1458 |
| Mianyang | 0.7560 | 0.5182 | 0.1096 | 0.1282 |
| Guangyuan | 0.6846 | 0.4720 | 0.0896 | 0.1230 |
| Suining | 0.5932 | 0.3676 | 0.0970 | 0.1286 |
| Neijiang | 0.6770 | 0.4322 | 0.1148 | 0.1300 |
| Leshan | 0.7846 | 0.5752 | 0.0862 | 0.1232 |
| Nanchong | 0.6486 | 0.4240 | 0.0866 | 0.1380 |
| Meishan | 0.5962 | 0.3992 | 0.0854 | 0.1116 |
| Yibin | 0.7644 | 0.5138 | 0.1100 | 0.1406 |
| Guang’an | 0.6702 | 0.4426 | 0.0940 | 0.1336 |
| Dazhou | 0.6338 | 0.3924 | 0.1008 | 0.1406 |
| Ya’an | 0.6902 | 0.4832 | 0.0978 | 0.1092 |
| Bazhong | 0.6432 | 0.4254 | 0.0926 | 0.1252 |
| Ziyang | 0.5776 | 0.4074 | 0.0810 | 0.0892 |
| Aba | 0.7082 | 0.5304 | 0.0910 | 0.0868 |
| Ganzi | 0.6810 | 0.5222 | 0.0720 | 0.0868 |
| Liangshan | 0.6516 | 0.4578 | 0.0942 | 0.0996 |
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