3.1 Results of DEA efficiency evaluation
From the results (see Table 4), the average value pertaining to the comprehensive efficiency of China's public sports services in 2020 is 0.742, which indicates that the overall level of China's public sports services in 2020 is satisfactory; however, there is still room for improvement. Hainan, Jilin, Liaoning, Zhejiang, Henan, Shanxi, Ningxia, Qinghai, and Sichuan is 1, thus indicating that the efficiency of public sports services in these nine provinces is optimal and the service level is quite satisfactory. Hubei, Heilongjiang, Guangxi, Jiangsu, Shaanxi, Anhui, and Yunnan are the seven provinces where the comprehensive efficiency of public sports services does not attain 1; however, they are all above the mean value, and the service level is satisfactory. On the other hand, 13 provinces, namely Beijing, Fujian, Hunan, Guangdong, Jiangxi, Hebei, Gansu, Guizhou, Inner Mongolia, Shandong, Shanghai, Tianjin, Xinjiang, and Chongqing, have an overall efficiency below the mean, which indicates a low level of public sports services. For the regional dimension, the central region exhibits the most optimal performance with regard to efficiency, with an average value of 0.827. Compared to the central region, the western region is slightly less efficient, with an average value of 0.762, and the eastern region exhibits a relatively low efficiency, with an average value of 0.680. The regions include regions with high levels of economic development and high population density, such as Henan, Sichuan and Zhejiang, and also cover regions with slower economic development and smaller populations, such as Ningxia and Qinghai. It can be observed that although differences in economic and social foundations between regions lead to diversity in the allocation of resources for public sports services, some provinces and municipalities have been able to achieve high efficiency; therefore, the rationale for the grouping of high public sports service efficiencies should still be further analyzed.
Table 4
Efficiency of public sports services in China in 2020
Province (district, city) | Combined efficiency | Province (district, city) | Combined efficiency |
Beijing, capital of People's Republic of China | 0.474 | Hubei | 0.761 |
Fujian | 0.274 | Hunan | 0.578 |
hillsides | 0.594 | Jiangxi | 0.682 |
Hainan Island | 1 | Shanxi | 1 |
anhui | 0.492 | Gansu | 0.494 |
Heilongjiang river forming the border between northeast China and Russia | 0.754 | until 1959, Guangxi province | 0.757 |
also Jilin prefecture level city, Jilin province | 1 | Guizhou | 0.545 |
Jiangsu | 0.784 | Inner Mongolia | 0.724 |
Liaoning | 1 | Ningxia prefecture level city in Zhejiang | 1 |
Shandong | 0.630 | Qinghai | 1 |
Shanghai | 0.559 | Shaanxi | 0.786 |
Tianjin | 0.370 | Sichuan | 1 |
Zhejiang | 1 | Xinjiang | 0.435 |
Anhui | 0.765 | Yunnan | 0.837 |
He'nan Mengguzu autonomous county in Qinghai | 1 | Chongqing | 0.587 |
Mean value: 0.742 |
3.2 Data calibration
In fsQCA, calibration refers to the process of providing cases to assign set affiliation 35. In summary, sets should be constructed by accurately calibrating the variables based on the existing theoretical body and the context of the specific case. The calibrated set exhibits a well-defined degree of affiliation which will be in the range between 0 and 1. Herein, the thresholds recommended by the Tosmana software (see Table 5) were utilized and combined with specific analyses of the research data to determine the choice of intersections 36. In selecting the anchors, namely "fully affiliated" and "fully unaffiliated", the study identified 95%, 50%, and 5% quartiles of the sample data as anchors based on the relative position of the sample data and with reference to the methodology of previous studies 37.
Table 5
Calibration of result variables and condition variables
variable name | calibrations |
Full affiliation | junction | Totally unaffiliated |
outcome variable | Efficiency of public sports services | 1 | 0.755 | 0.401 |
conditional variable | Regional GDP per capita | 140128.05 | 58526.5 | 43537.9 |
population density | 4990.09 | 3111.56 | 1728.29 |
Funding for public sports | 386598.5 | 161645.5 | 81030.45 |
Government purchasing power | 0.085 | 0.05 | 0 |
Average years of schooling | 11.57 | 9.86 | 8.83 |
3.3 Analysis of necessary conditions
Before conducting the conditional grouping analysis, each conditional variable must be individually tested for necessity to determine if any condition is a necessary precondition for the outcome to occur 38. Once the necessity analysis is complete, two key metrics will be identified: consistency and coverage. The coverage metric reflects the proportion of cases that meet a given condition out of the total number of cases, while the consistency metric measures the similarity and consistency between cases that meet the condition (see Table 6). Typically, if the consistency value exceeds 0.9, the condition may be necessary to lead to the outcome 39. The necessity analysis revealed that the consistency value of all the condition variables in this study did not attain 0.9, which indicates that it is difficult for a single condition to exert an influence, the improvement in the efficiency of public sports services is occasioned by a combination of multiple factors, and no variable can be utilized alone as a necessary condition for improving the efficiency of public sports services, and that it is necessary to analyse the influence of the condition grouping state further.
Table 6
Analysis of necessary conditions
| High efficiency of public sports services | Low efficiency of public sports services |
conditional variable | consistency | degree of coverage | consistency | degree of coverage |
High regional GDP per capita | 0.537 | 0.565 | 0.659 | 0.717 |
Low regional GDP per capita | 0.732 | 0.675 | 0.601 | 0.573 |
high population density | 0.513 | 0.549 | 0.599 | 0.664 |
Low population density | 0.686 | 0.623 | 0.593 | 0.558 |
High public funding for sport | 0.516 | 0.536 | 0.659 | 0.709 |
Low public funding for sport | 0.720 | 0.672 | 0.569 | 0.549 |
High government purchasing power | 0.662 | 0.634 | 0.601 | 0.596 |
Low government purchasing effort | 0.578 | 0.583 | 0.630 | 0.658 |
High average years of schooling | 0.614 | 0.615 | 0.667 | 0.692 |
Low average years of schooling | 0.693 | 0.688 | 0.628 | 0.627 |
3.4 Configuration analysis
The cohort analysis exerts a central role in the QCA approach, which aims to explore how different combinations of antecedent conditions collaborate to influence the generation of results. Schneider and Wagemann proposed a judgement criterion, namely the congruence level of adequacy, which is recommended to have a value of not less than 0.75 40. Individual variables do not constitute the necessary conditions for improving the efficiency of public sports services in China. Therefore, a combination analysis of the condition variables was implemented to explore the effect pertaining to the combination of differential factors on the outcome variables. This study adopts the QCA-based analytical results presentation method proposed by Ragin and Fiss, which can clearly reveal the relative importance of each condition in the grouping, thus providing strong support for the in-depth understanding and interpretation of the analysis results 41. Herein, the intermediate solution output from the software is selected as the main solution and the simple solution as the supplementary solution for its analysis, and the consistency threshold is set to 0.8 according to the default standard 42; moreover, The case frequency threshold has been set at 1.0, and the consistency of the various paths and the overall consistency are above 0.8 (see Table 7). Thus, the solution derived from the current study exhibits a high level of reasonableness and credibility, which meets the needs of the study.
Table 7 presents three grouping paths for improving the efficiency of public sports services, where each column corresponds to a potential combination of conditions. The consistency of the solutions is 0.809, which implies that 81% of the cases in the provinces that meet these combinations of conditions exhibit a high level of efficiency. In addition, the consistency of all paths and the overall consistency of the solution exceed the critical value, thus proving the validity of the empirical analysis.
Table 7
Results of the group analysis for the realisation path of improving the efficiency of public sports services in China
conditional variable | Configuration S1 | Configuration S2 | Configuration S3 |
Regional GDP per capita | character utilized in Taiwan as a substitute for a real name (such as "X" in English) | ● | ● |
population density | ● | character utilized in Taiwan as a substitute for a real name (such as "X" in English) | character utilized in Taiwan as a substitute for a real name (such as "X" in English) |
Funding for public sports | character utilized in Taiwan as a substitute for a real name (such as "X" in English) | ● | ● |
Government purchasing power | ● | ● | character utilized in Taiwan as a substitute for a real name (such as "X" in English) |
Average years of schooling | character utilized in Taiwan as a substitute for a real name (such as "X" in English) | character utilized in Taiwan as a substitute for a real name (such as "X" in English) | ● |
consistency | 0.86 | 0.816 | 0.84 |
degree of coverage | 0.251 | 0.28 | 0.266 |
Unique coverage | 0.09 | 0.072 | 0.04 |
Consistency of solutions | 0.809 |
Coverage of solutions | 0.529 |
Note: ● = core condition present; ○ = core condition absent; ● = marginal condition present; ○ = marginal condition absent |
(1) Densely populated and government-led
The grouping path of non-high regional GDP per capita, high population density, high government purchasing effort, and non-high average years of schooling as the core conditions, and non-high public sports funding as the missing marginal condition in grouping S1, can enhance the efficiency of public sports services in China. This path explains approximately 25% of the cases of efficient public sports services. Meanwhile, approximately 9% of the cases are explained only by this path. On one hand, the government enhances its support for public sports services, strengthens the construction and maintenance of sports facilities through direct investment as well as the procurement of sports equipment and services, and provides the public with a wider range of sports choices and opportunities, thus enhancing the efficiency of public sports services. On the other hand, in highly populated areas, the government has significantly increased the breadth of coverage and accessibility of public sports services by expanding sports venues and facilities and rationalising regional space, thereby meeting the sports needs of more people and enhancing the efficiency of public sports services. As a typical case, Hainan Province, due to its unique geographical location and developed tourism industry, has exhibited a significant increase in tourist arrivals in tandem with government investment in recent years. According to the preliminary statistics for 2020 published on the Chinese government website, in 2020, Hainan's tourism industry received 65 million domestic and foreign tourists, and the total tourism revenue attained RMB 86 billion 43. Local governments in Hainan Province have included funding for national fitness and the construction, operation, and maintenance of public stadiums in their budgets, and have continued to invest in improving sports facilities and optimising the public sports service system in line with economic development. Under the influence of both high population density and strong government investment, Hainan Province has somewhat alleviated the difficulties occasioned by the underdevelopment of the regional economy, and the efficiency of public sports services has been continuously improved.
(2) Economic dynamism and resource-input-based
The grouping path of high regional GDP per capita, non-high population density, high public sports funding, and non-high average years of schooling as the core conditions and high government purchasing effort as the marginal conditions exist in grouping S2 and can enhance the efficiency of public sports services in China. This path explains approximately 28% of the cases of efficient public sports services. Meanwhile, approximately 7% of the cases are explained by only this path. 52 provinces are covered by the group including Shandong, Zhejiang, and Anhui. On one hand, an increase in regional GDP per capita signals economic prosperity, which not only enhances the people's ability to consume sports services, but also enables public sports services to receive financial support. The government and enterprises were able to increase their financial investment in the development of the sports industry, thus promoting the upgrading of the industrial structure. On the other hand, the increased investment in public sports funding can be utilized to strengthen the construction of sports facilities, coach training, and the organisation of sports activities and competitions. Meanwhile, the government guides the investment of social capital to enhance the capacity of public sports service provision, and further enhances its efficiency through the purchase of services. Zhejiang Province is a prominent example of this phenomenon: the recent Hangzhou Asian Games has undoubtedly accelerated the development of the province's sports industry during a critical period for the development of public sports, and the Wenzhou Zhongshi Ice and Snow City, along with three other sports service complexes, have been honoured with the title of National Typical Cases of Sports Service Complexes, which is the highest number of such cases in the country. Ningbo, as one of the first "Olympic Champion Cities" (recognised by the State General Administration of Sports), represents a robust foundation for the development of public sports services in Zhejiang, which exhibits one of the highest per capita GDP in the country and abundant public sports funding; thus, the province's level of public sports services has risen rapidly due to strong government promotion.
(3) Economically and educationally driven
The grouping path in grouping S3 with high regional GDP per capita, non-high population density, and high public sports funding, as well as non-high government purchasing effort as the core conditions, and high average years of schooling as the marginal conditions can enhance the efficiency of public sports services in China. This path explains approximately 26% of the cases of efficient public sports services. Meanwhile, approximately 4% of the cases are explained by only this path. The average years of schooling can enhance the efficiency of public sports services through its auxiliary role. The government and schools should strengthen physical education programmes and organise sports activities to cultivate students' interest and awareness in sports. Meanwhile, universal physical education programmes should be widely provided to encourage students to participate in all kinds of physical exercises and form good physical education habits. In Jiangsu Province, for example, construction in the field of education has immensely advanced. Under the leadership of the Jiangsu Provincial Party Committee and Provincial Government, departments such as the Provincial Development and Reform Commission and the Sports Bureau focus on enhancing people's health, thereby enabling them to pursue a better life. Jiangsu Province fully leverages its economic advantages by integrating multiple resources and vigorously promoting the national strategy of national fitness. Jiangsu Province basically completed the national fitness public service system and established a "10-minue sports and fitness circle" model of urban communities. Meanwhile, the province has become the first provincial public sports service system demonstration area in China 44. With a high GDP per capita and sufficient financial investment in public sports, the efficiency of its public sports services has been significantly enhanced.
3.5 Robustness Tests
After drawing analytical conclusions using the fsQCA method, a robustness check of the adequacy of the obtained pathway configurations is required to verify the reliability of the results in more depth. Schneider and Wagemann proposed four operations for the robustness analysis: change of calibration, change of consistency thresholds, inverse test of the resultant variables, and addition and deletion of cases 39.
Herein, two tests, namely change of calibration and inverse test of the outcome variable, were utilized; thus, the stability of the path groupings were tested. On one hand, the change of calibration was utilized to conduct the test by reducing the case calibration value used in the analysis from 0.95 to 0.9. The results of the study revealed three path groupings with an overall solution consistency level of 0.83. These three paths are subsets of path S1, path S2, and path S3, respectively. Therefore, it can be confirmed that the findings of this study are highly robust. On the other hand, this study utilized the reverse test of the outcome variable to analyse the combination of conditions that induced the outcome variable to be at a lower level. The results indicate that the consistency pertaining to the group path of reducing the efficiency of public sports services is 0.82, and the coverage rate is 0.65. By comparing the results of the 2 solutions of raising and lowering, it can be observed that the combinations of conditions in the lowering result are not proportional to the combinations of conditions in the raising result, and that there is not a group path that simultaneously raises the efficiency of public sports services and lowers the efficiency of public sports services. Therefore, the results of the study are robust.