Spatio-Temporal Evolution and Influencing Factors of Tourism Industry Efficiency in Jiangsu Province Based on Dea-Malmquist Index Secondary Decomposition Model
The productive efficiency of tourism is an important basis to evaluate the reasonable use of the tourism resources and development level of tourism economy.First based on the DEA-Malmquist index secondary decomposition model,this paper reveals the spatio-temporal evolution characteristics and influencing factors of the tourism productive efficiency of 13 municipalities in Jiangsu Province.The results show that:(1) the total factors productivity levels increased moderately,and the annual average of total factors productivity during 2000-2015 in Jinagsu Province is 1.020.Regarding the spatial distribution,the total factor productivity of tourism shows obvious regional differences that the southern cities generally displayed a higher total factor productivity than northern cities,while the eastern cities are also higher than western cities.(2) The total factors productivity growth is mainly attributed to the technological progresses,among which the change of scale technological progress is the dominant factor,followed by the change of pure technological progress,while the change of pure technical efficiency and the change of scale efficiency has the least influence on the total factors of tourism.(3) Through the panel regression model,some factors such as industrial structure,the opening-up level,economic development,traffic and labor also affect the productive efficiency of tourism in Jiangsu Province,which can lead to the efficiency changes and regional imbalances.The paper puts forward that different regions should adopt different tourism development policies,promote the technological progress of tourism industry and improve the production efficiency of tourism industry.
DEA-Malmquist Indexsecondary decompositiontourism industry efficiencyJiangsu Province
NETL
NSTL
万方数据
维普
