Narrow Results

In recent years, our country’s tourism industry has emerged, and it is leading becoming increasingly dominant in the modern economy, further promoting the development of related industries. With the financial support for the development of the tourism industry, we can learn that a basic test based on the panel data of the eastern, central, and western regions will show the efficiency of investment in tourism in the east and central regions of China has declined due to the rapid economic development. It is said that it has played a vital role; in the western region, it is not so rapidly developed and is supported by indirect financing by bank loans, but it is more or less important for the development of tourism. The tourism industry in the eastern and central regions of China has completely realized the transformation from external growth to internal development. The western region will tend to be more externally oriented. The regional differences are mainly analyzed from the selection of variables, using a general engineering approach to achieve the current status of financial integration. The data sources are mainly from cross-sectional unit models. The tourism industry needs panel data as support for the analysis using the variables of bank loans. As a tourism industry that is open to the outside world, more and more tourists will enjoy new tourism models, such as ecotourism, rural tourism, cultural tourism, etc., bringing financial and economic support to these new tourism models and making them further successful. In this paper, there is a certain gap in the development of China’s tourism industry in terms of financial support for the development of the tourism industry. Given the vigorous development of the tourism industry, this paper uses a modeling algorithm to analyze whether the results are consistent with regional differences to facilitate a better discussion. A brief overview of the current state of research and the theoretical model of financial support will be presented below.

Under the new development pattern, innovation-driven is the fundamental driving force for promoting the development of commercial circulation, but the level of innovation and the development level of commercial circulation of different regions are different. Therefore, it is worth exploring whether there are regional differences in the influence of the level of scientific and technological innovation on the development of the commercial circulation industry. Based on the provincial panel data, this paper studies the impact of scientific and technological innovation on commercial circulation and regional differences. Studies have shown that, on the whole, scientific and technological innovation has a significant role in promoting the development of the commercial circulation industry. In terms of regions, scientific and technological innovation in the western, central, and eastern regions also has significant positive impacts on the development of the commercial circulation industry, but its impact on the commercial circulation industry in the northeast region is not significant. Finally, it puts forward relevant suggestions such as promoting the integration of production, education, and research, strengthening government support, and promoting international scientific and technological cooperation.

The Urban Agglomeration of Beibu Gulf was established in 2017 with the strategic positioning of facing ASEAN, serving the “Southwest, Central-south, and South of China”, and being livable and business-friendly. Green innovation is the key to promoting high-quality urban development. It is of great significance to analyze and compare the spatial characteristics of green innovation efficiency and its development differences in the Urban Agglomeration of Beibu Gulf for promoting higher quality development in the Beibu Gulf region. This paper measures the dynamic changes of green innovation efficiency and in the Urban Agglomeration of Beibu Gulf based on the super-efficient SBM-GML model, and uses a variety of convergence methods to examine their convergence characteristics. The research results show that (1) green innovation efficiency displays remarkable regional differences, and the overall trend is fluctuating and declining; (2) green innovation efficiency has prominent convergence characteristics in the Urban Agglomeration of Beibu Gulf, which has passed the tests of σ convergence and β convergence.