This article uses the super-efficiency DEA method to measure the efficiency of the sports industry ecosystem and uses Tobit model to study its influencing factors. Conclusions are as follows: (1) China's sports industry ecosystem average efficiency is 0.541, which has not reached an effective state. Similarly, there are significant spatial differences in the three regions, showing the layout of east high and west low. (2) With national perspective, resource endowment has a positive relationship with national sports industry ecosystem efficiency, environmental regulation has a significant negative impact on the sports industry ecosystem efficiency, and the GDP growth rate has a positive impact. Moreover, the openness is negatively correlated, and the impact of human capital structure is not significant. (3) From a regional perspective, resource endowment has a significant positive impact on the eastern and central regions, and a significant negative correlation with the western region. Environmental regulation has no significant impact on the efficiency of the eastern sports industry ecosystem but has a significant negative correlation in the central and western regions. The effect of GDP growth rate in the eastern and central regions is not significant, but positive effects were found in the western region context. Furthermore, the human capital structure effect is negative in the central region, but no significant relationship in other regions. The openness has a positive impact on the eastern and western regions, while it has a negative impact on the central region.
Keywords: Ecosystem efficiency; Environmental regulation; Resource endowment; Sports industry.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.