Abstract
The level of inbound tourism development is an important criterion to measure the internationalization of tourism, which is an important factor representing the tourism economy. Taking Anhui province as the research object, the inbound tourism development efficiency of 16 cities in Anhui province from 2011 to 2019 is analyzed with the help of the DEA model and Malmquist index, and the key factors affecting the inbound tourism development efficiency are analyzed with the OLS model. It is found that (1) the overall development of inbound tourism in Anhui province is in a high state, but there are still phenomena such as waste of resources, overexploitation, and unreasonable industrial investment, which lead to the unbalanced and insufficient development of regional inbound tourism. (2) Inbound tourism efficiency in Anhui province is influenced by the level of economic development, tourism resource endowment, accessibility, and the scale of human resources, suggesting that inbound tourism is essentially natural resource, infrastructure, and service facility driven. The study is important to clarify the path of improving the efficiency of inbound tourism, promote the development of high‐quality inbound tourism, and thus achieve high‐quality transformation of tourism.
Highlights
Since the reform and opening up in 1978, China’s tourism industry has achieved leaps and bounds and has made remarkable achievements
Why Anhui province cannot open up the international tourism market completely? is study will take Anhui province as an example on the basis of previous research results, use inbound tourism statistics from 2011 to 2019, dynamically capture the spatial and temporal characteristics and changes in inbound tourism development efficiency in Anhui province based on the Data envelopment analysis (DEA)-Malmquist model, and further analyze the main influencing factors of inbound tourism development efficiency in the region using OLS model, in order to clarify the path of regional inbound tourism efficiency improvement and provide a reference basis for promoting the high-quality development of inbound tourism and realizing the high-quality transformation of tourism
Erefore, it is widely used in tourism industry research. e traditional DEA model is a static analysis of efficiency, and the most common ones are the CCR model and BCC model, while the Malmquist index can measure the dynamic efficiency of the tourism industry. erefore, DEA and Malmquist index are combined to evaluate the efficiency of inbound tourism development. e DEA model is as follows [21, 22]: min θ − εeT1 s− + eT2 s+, k s.t. Xmlλm + s− θxn1; l 1, . . . , L, j 1 (1)
Summary
Since the reform and opening up in 1978, China’s tourism industry has achieved leaps and bounds and has made remarkable achievements. Journal of Mathematics an efficient allocation of regional tourism factors, improve the quality of the industry, and transform the growth model of the tourism economy. Other scholars have discussed the spatial and temporal evolution patterns and characteristics of inbound tourism flows [18, 19]. These studies focus on the spatiotemporal effects of inbound tourism and lack attention to the regional economic impacts of inbound tourism, not to mention the lack of case studies of specialty regions. Why Anhui province cannot open up the international tourism market completely? is study will take Anhui province as an example on the basis of previous research results, use inbound tourism statistics from 2011 to 2019, dynamically capture the spatial and temporal characteristics and changes in inbound tourism development efficiency in Anhui province based on the DEA-Malmquist model, and further analyze the main influencing factors of inbound tourism development efficiency in the region using OLS model, in order to clarify the path of regional inbound tourism efficiency improvement and provide a reference basis for promoting the high-quality development of inbound tourism and realizing the high-quality transformation of tourism
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