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The agricultural industry is a vital driver of rural economic development and a primary income source for farmers. Rural tourism, which relies on rural resources, is a key component of the agricultural industry. With the rapid development of agricultural digitalization, the income of the rural tourism industry has been significantly influenced. This article categorizes rural tourism landscapes into cultural and natural types based on regional resources. It examines the impact of digitalization on rural tourism income using the generalized least squares method with panel models and explores the mechanisms of digitalization’s influence through a moderation effect model. Analysis indicates that digitalization positively impacts rural tourism with noticeable regional heterogeneity. There is also a significant positive moderating effect of synergistic cultural and natural factors. Natural factors positively affect rural tourism, with digitalization having the most pronounced positive moderating effect on income from natural landscapes. This article suggests that decision-makers should promote digital development to boost rural tourism revenue, tailoring digitalization efforts to regional conditions and focusing on the unique characteristics of natural and cultural landscapes to effectively enhance the rural tourism industry.
The agricultural industry is a vital driver of rural economic development and a primary income source for farmers. Rural tourism, which relies on rural resources, is a key component of the agricultural industry. With the rapid development of agricultural digitalization, the income of the rural tourism industry has been significantly influenced. This article categorizes rural tourism landscapes into cultural and natural types based on regional resources. It examines the impact of digitalization on rural tourism income using the generalized least squares method with panel models and explores the mechanisms of digitalization’s influence through a moderation effect model. Analysis indicates that digitalization positively impacts rural tourism with noticeable regional heterogeneity. There is also a significant positive moderating effect of synergistic cultural and natural factors. Natural factors positively affect rural tourism, with digitalization having the most pronounced positive moderating effect on income from natural landscapes. This article suggests that decision-makers should promote digital development to boost rural tourism revenue, tailoring digitalization efforts to regional conditions and focusing on the unique characteristics of natural and cultural landscapes to effectively enhance the rural tourism industry.
In recent years, the rapid development of digital inclusive finance in China has affected many aspects of social development, especially economic development, which has a good driving force. At the same time, the development of the fishery economy has been challenged by many aspects, and digital inclusive finance may inject new development momentum into the development of the fishery economy. Using the digital financial inclusion index and relevant data on the fishery economic development of 31 provinces, autonomous regions, and municipalities in China from 2013 to 2020, this paper empirically analyzes the impact of digital financial inclusion on provincial fishery economic development through the dual fixed effect panel data econometric model of controlled region and time. The main conclusions are as follows: The benchmark regression results show that digital inclusive finance can positively promote the development of the fishery economy at the significance level of 1%, and the digital development degree of digital inclusive finance also has a significant role in promoting the development of the fishery economy. After the endogeneity test of the system GMM model and a series of robustness tests, the model results are still significant. The results of the moderating effect model show that technological innovation plays a positive moderating role in the impact of digital inclusive finance on the development of the fishery economy, while the upgrading of the industrial structure plays an inhibitory role. Based on the results of the β convergence model, it can be found that there is no convergence in the level of fishery economic development among provinces. The development of digital inclusive finance will play a greater role in promoting areas with better fisheries and economic development, thus widening the development gap between regions. Finally, the paper discusses the effect of the conclusion and the improvement, which is of reference significance for the coordinated development of the fishery economy based on finance between regions.
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