Evaluating the Factors Influencing the Efficiency and Usage of Public Sports Services in a Chinese Province

Authors: Zhankun Wang, Timothy Makubuya

Abstract:

The efficiency of public sports service of prefecture-level cities in Zhejiang from 2008 to 2012 was evaluated by applying the DEA method, then its influencing factors were also analyzed through Tobit model. Upon analysis, the results revealed the following; (i) the change in average efficiency of public sports service in Zhejiang present a smooth uptrend and at a relatively high level from 2008 to 2012 (ii) generally, the productivity of public sports service in Zhejiang improved from 2008 to 2012, the productivity efficiency varied greatly in different years, and the regional difference of production efficiency increased. (iii) The correlations for urbanization rate, aging rate, per capita GDP and the population density were significantly positive with the public sports service efficiency in Zhejiang, of which the most significant was the aging rate. However, the population density and per capita GDP had less impact on the efficiency of public sports service in Zhejiang. In addition, whether the efficiency of public sports services in different areas in Zhejiang reciprocates to overall benefits in public wellbeing in both rural and urban settings is still arguable.

Keywords: DEA Model, public sports service, efficiency, Tobit model, Malmquist productivity index, Zhejiang.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1317164

References:

[1] Chunmei, Y (2014). The Estimation of Sports Public Efficiency in China and Empirical Study on Influencing Factors. China Sport Science, 34 (4): 3-10. W.-K. Chen, Linear Networks and Systems (Book style). Belmont, CA: Wadsworth, 1993, pp. 123–135.
[2] Liu, C., Chen, W. (2013). A Study on the Value of Integration Development of Urban and Rural Public Sports Service. Applied Mechanics and Materials, 253(255): 147-150,
[3] Yu-wei, F., Hang, Y., & Gui-bin, Y. (2005). Application of a mixed DEA model to evaluate relative efficiency validity. Journal of Marine Science and Application, 4(3), 64–70. https://doi.org/10.1007/s11804-005-0024-1
[4] Ma, L., You, Y., & Zhou, Q. (2011). Applied Economics, Business and Development. (Q. Zhou, Ed.), International Symposium ISAEBD, 208: 273–279). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-23023-3
[5] Baoshun. W, Jinghua, L. (2011). A Research into the Efficiency of Fiscal Expenditure of Local Public Hygiene in China-An Empirical Analysis Based on DEA-Malmquist Exponent Economic Survey, 6
[6] Weiyu, S. (2014). Efficiency of Financial Investment in Mass Sports Based on DEA Model. China Sport Science, 34 (9): 11-16.
[7] Bi, G., Wang, P., Yang, F., & Liang, L. (2014). Energy and environmental efficiency of china’s transportation sector: A multidirectional analysis approach. Mathematical Problems in Engineering, 2014. https://doi.org/10.1155/2014/539596.
[8] Hwang, S.-N. & Chang, T.-Y. (2003). Using data envelopment analysis to measure hotel managerial efficiency change in Taiwan. Tourism Management, 24, 357-369.
[9] Li, L., Hao, T., & Chi, T. (2017). Evaluation on China’s forestry resources efficiency based on big data. Journal of Cleaner Production, 142, 513–523.
[10] Wang, B. (2015). Research on the Equalization of Mass Public Sports Services in the New Period. Asian Social Sciences. 11 (23). doi:10.5539/ass.v11n23p68.
[11] Han, X., Xue, X., Ge, J., Wu, H., & Su, C. (2014). Measuring the productivity of energy consumption of major industries in China: A DEA-based method. Mathematical Problems in Engineering, 2014. https://doi.org/10.1155/2014/121804.
[12] Jingbo. W, Shunlai. Z, Pilai W, et al (2011). Evaluation Indicators System of Sports Public Services Performance of Local Government. Journal of Shenyang Sport University,30(2):1-3.
[13] Perrigot, R., & Barros, C. P. (2008). Technical efficiency of French retailers. Journal of Retailing and Consumer Services, 15(4), 296–305. https://doi.org/10.1016/j.jretconser.2007.06.003.
[14] Lambert, D. K. (1999). Scale and the Malmquist productivity index. Applied Economics Letters, 6(9), 593–596. https://doi.org/10.1080/135048599352673.
[15] Wei, Y.-M., Liao, H., & Fan, Y. (2007). An empirical analysis of energy efficiency in China’s iron and steel sector. Energy, 32(12), 2262–2270. https://doi.org/10.1016/j.energy.2007.07.007.
[16] Liao, H., Wang, B., & Weyman-Jones, T. (2007). Neural network based models for efficiency frontier analysis: An application to East Asian economies’ growth decomposition. Global Economic Review, 36(4), 361–384. https://doi.org/10.1080/12265080701694561.
[17] Yang, H., Yuan, T., Zhang, X., & Li, S. (2016). A decade trend of total factor productivity of key state-owned forestry enterprises in China. Forests, 7(5). https://doi.org/10.3390/f7050097
[18] Lyu, X., Shi, A. (2018). Research on the Renewable Energy Industry Financing Efficiency Assessment and Mode Selection. Sustainability, 10, 222.
[19] Wu, S., Wang, C., & Zhang, G. (2015). Has China’s new health care reform improved efficiency at the provincial level? Evidence from a panel data of 31 Chinese provinces. Journal of Asian Public Policy, 8(1), 36–55. https://doi.org/10.1080/17516234.2015.1009399.
[20] Bu, L. (2017). Public health and the modernization of China, 1865-2015. Public Health and the Modernization of China, 1865-2015 (pp. 1–301). Taylor and Francis. https://doi.org/10.4324/9781315727912.
[21] Low, W.-Y., & Binns, C. (2015). A glimpse of public health in China. Asia-Pacific Journal of Public Health, 27(2, Suppl), 7S–8S. https://doi.org/http://dx.doi.org/10.1177/1010539515574405.
[22] Lancet Public Health, T. (2017). Public health is local. Www.Thelancet.Com/Public-Health. https://doi.org/10.1016/S2468-2667(17)30170-6.
[23] Fan, J. P. H., Morck, R., Xu, L. C., & Yeung, B. (2009). Institutions and Foreign Direct Investment: China versus the Rest of the World. World Development,37(4),852–865. https://doi.org/10.1016/j.worlddev.2008.07.016.
[24] Taylor, J. G. (2013). Community participation in China: Issues and processes for capacity building. Community Participation in China: Issues and Processes for Capacity Building: 1–358. Taylor and Francis. https://doi.org/10.4324/9781849770835.
[25] Shao, S., & Wang, C. (1998). Implementation of the Plan of Fitness for All adjustment of industry structure in China. Journal of Tianjin Institute of Sport / Tianjin Tiyu Xueyuan Xuebao, 13(3), 34–39.
[26] Xiong, H. (2007). The evolution of urban society and social changes in sports participation at the grassroots in China. International Review for the Sociology of Sport, 42(4), 441–471. https://doi.org/10.1177/1012690208089836.
[27] Zhu, L., & He, X. (2013). The Research about Factors and Countermeasures of Influence Changsha-Zhuzhou-Xiangtan Urban Agglomeration Development of Public Sports Service in China*. I - Business, 5(3B), 142–145.
[28] Chen, C., Tsai, L. T., Lin, C. F., Huang, C. C., Chang, Y. T., Chen, R. Y., & Lyu, S. Y. (2017). Factors influencing interest in recreational sports participation and its rural-urban disparity. PLoS ONE, 12(5). https://doi.org/10.1371/journal.pone.0178052.