首页|基于DEA-Malmquist模型的江西省旅游效率时空演化研究

基于DEA-Malmquist模型的江西省旅游效率时空演化研究

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旅游产业高质量发展成为拉动区域经济增量的重要引擎.基于多种DEA测度模型对江西省2011-2020年11个设区市的面板数据进行旅游效率测度,分别从静态与动态双重视角揭示江西省旅游产业发展水平及时空演化规律.研究表明:静态视角上,江西省旅游产业综合效率与规模效率变动趋势几乎一致,纯技术效率除了 2015年以外都处于前沿面,说明江西省整体旅游技术效率达到一个较高的水平,规模报酬除了2012年和2019年外,其他年份均呈递增趋势,说明江西省旅游产业要素投入规模尚未达到最佳水平.横向比较全省各设市区层面上,南昌、萍乡、九江三地超效率值较高,而赣州、宜春和抚州三地的超效率值偏低;动态视角上,由于新冠疫情的影响,2019-2020年江西省全要素生产率仅0.599,显著下降;横向比较结果显示,10年间除了抚州地区全要素生产率有小幅回落(降幅6.9%),其余10个地区的旅游产业全要素生产率增长幅度均大于1,且年均增长率达8.5%.研究结果对江西省进一步提升旅游产业发展效率、平衡地区差异、优化资源配置以及相关旅游产业发展政策的制定具有重要指导意义.
Temporal and Spatial Dynamic Evolution of Tourism Efficiency in Jiangxi Province Based on DEA-Malmquist Model
High quality development of tourism industry has become an important engine driving re-gional economic increment.Based on a variety of DEA measurement models,this paper measures the tourism efficiency of the panel data of 11 districts and cities in Jiangxi province from 2011-2020,revealing the development level and spatial-temporal evolution law of the tourism industry in Jiangxi province from static and dynamic perspectives respectively.The results show that:From the static perspective,the variation trend of comprehensive efficiency and scale efficiency of tourism in-dustry in Jiangxi province is almost the same,and pure technical efficiency is at the forefront except 2015,indicating that the overall tourism technical efficiency of Jiangxi province has reached a high level,and return to scale is increasing in all years except 2012 and 2019.It shows that the tourism industry factor input scale in Jiangxi province has not reached the best level.Horizontal comparison of the province's urban areas,Nanchang,Pingxiang and Jiujiang have higher super efficiency,while Ganzhou,Yichun and Fuzhou have lower super efficiency.From the dynamic perspective,due to the impact of COVID-19,the total factor productivity of Jiangxi province was only 0.599 in 2019-2020,significantly decreasing.The horizontal comparison results show that the total factor produc-tivity of the tourism industry in the other 10 regions has a growth rate of more than 1,with an aver-age annual growth rate of 8.5%,except for Fuzhou area,which has a slight decline(6.9%).The research results are of great guiding significance for Jiangxi province to further improve the develop-ment efficiency of tourism industry,balance regional differences,optimize resource allocation and formulate relevant tourism industry development policies.

Malmquist exponential modelSuper-SBM modelJiangxi provinceefficiency of tourism industry

谭吉玉、杜雨鹤、刘高常

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江西理工大学经济管理学院,341000,江西,赣州

江西理工大学应急管理与安全工程学院,341000,江西,赣州

Malmquist指数模型 Super-SBM模型 江西省 旅游产业效率

江西省社会科学研究规划项目赣州市社学科学重点研究课题(2022)

19GL2420220010013

2023

江西科学
江西省科学院

江西科学

影响因子:0.286
ISSN:1001-3679
年,卷(期):2023.41(1)
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