Research on development of digital finance in improving efficiency of tourism resource allocation
Исследование развития цифровых финансов в целях повышения эффективности распределения туристских ресурсов
2022-03-17
SCID: 54.1/cwmuxe89
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Entropy Weight MethodSBM modeldigital financefixed-effects modeltourism resource allocation
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Abstract (AI)
Improving the efficiency of resource allocation is of great significance to the sustainable development of tourism. This paper uses Entropy Weight Method (EWM) to measure the composite indexes of tourism resources in 30 provinces (excluding Tibet) in China from 2011 to 2018. Based on the said measurement, the SBM model is used to measure and evaluate the efficiency of tourism resource allocation. Through panel data and the fixed-effects model, this paper empirically tests the impact of the total index and sub-indexes of digital finance on the efficiency of tourism resource allocation and its influencing mechanism from the perspective of digital financial development. The results indicate that both the total index and sub-indexes have positive effects on improving the efficiency of tourism resource allocation. Statistically speaking, the total index, the development degree of digital financial, and digital insurance indexes have a remarkable influence on the improvement. In addition, instrumental variables and robustness tests are consistent with the aforementioned conclusions. In the end, this paper verifies that digital finance improves the efficiency of tourism resource allocation by promoting the demand for tourism consumption and optimizing the supply of tourism factors.
Key Findings
1
Digital finance enhances allocation efficiency by stimulating tourism consumption demand and optimizing the supply of tourism factors.
2
Digital finance overall and its sub-indexes positively improve tourism resource allocation efficiency, with statistically significant effects for digital financial development and digital insurance.
3
Instrumental-variable and robustness tests consistently support the positive relationship between digital finance and tourism resource allocation efficiency.
4
The study measures tourism resource allocation efficiency across 30 Chinese provinces from 2011 to 2018 using entropy-weighted indexes and the SBM model.
Research Object
Tourism resource allocation in 30 Chinese provinces (excluding Tibet) during 2011–2018
Research Subject
The impact of digital finance and its sub-indexes on tourism resource allocation efficiency and the mechanisms through which digital finance improves it
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2022-03-17
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