Author(s)

Xiaoyan Liu

Corresponding Author

Xiaoyan Liu

ABSTRACT

According to DEA data envelopment analysis method and optimal output function, a nonparametric decomposition framework for measuring tourism economic growth sources is constructed. The tourism industry of 30 provinces in China is used as a research unit in 2011-2018, combined with input and output indicator data. Decompose and measure the source of tourism economic growth. Among them, technological progress is the key to the increase in the contribution of total factor productivity, and the technical efficiency, especially the scale efficiency among them, contributes relatively little to the growth of tourism economy, and is in a downward trend. The impact of pure technical efficiency is minimal. In terms of regions, there are certain differences in the sources of tourism economic growth in various regions, which makes the growth rate of tourism in the central and western regions surpass the eastern region. The acceleration of tourism economic growth in the central region is mainly driven by scale efficiency, while the western region is mainly dominated by pure technology. Efficiency driven. From 2011 to 2018, China's tourism economic growth mode has become increasingly intensive, and the contribution of total factor productivity of tourism in more provinces and regions has exceeded the contribution of resource elements, and tourism economic growth has been driven more by total factor productivity.

KEYWORDS

Tourism economic growth factor, Time evolution, Data envelopment analysis, Optimal output function