This paper studies the impact of the development of green finance on China’s energy consumption structure. 17 basic indexes and the improved entropy weight method are used to construct the green finance index (GFI). Multiple regression, panel regression, and spatial regression are used to study the impact of green finance on China’s traditional energy and renewable energy consumption. The results show that there is a positive spatial spillover effect in the development of green finance among provinces in China. The development of green finance contributes to the conversion of traditional to renewable energy consumption. The effect of green finance on the transformation of energy consumption structure is mainly reflected in the direct effect. The green finance in each province not only helps the local development of green energy but also plays a good role in the production and utilization of clean energy consumption in surrounding provinces. Therefore, the government should support the green finance, reduce traditional energy consumption, and increase renewable energy consumption.

This chapter provides definitions of crisis and crisis management and discusses the theoretical foundations of crisis management in tourism. Strategic management insights are intertwined with crisis management, and crisis management research in tourism is explored.

The government’s intervention under the approval system seriously affects the healthy and sustainable development of the financial market. An IPO is an important way for a venture capitalist (VC) to gain income, which impacts the efficiency of resource allocation in the capital market. From the perspective of resource allocation efficiency, this paper compares the influence of venture capital on the IPO process of startup enterprises under registration and approval systems. The findings are as follows: (1) after the trial registration system, the speed of passing and listing of VC-owned startup enterprises can be significantly accelerated. (2) Venture capitalists can accelerate the startup enterprises’ speed of passing by sending directors to startup enterprises and improving the level of risk disclosure, which is only significant under the registration and issuance system. (3) Further research shows that VC-supported startups perform better after listing. (4) VCs can help startup enterprises to choose hot season listing, which has a good timing effect. The conclusion of this text study is still robust after using propensity score matching (PSM) and Heckman to eliminate endogeneity. The conclusion of this study provides a theoretical basis and empirical support for emerging market countries to promote market-oriented reform.

This study explores the relationship between the proportion of basic research investment in R&D expenditure and regional economic growth efficiency and its influence path. A panel of data from 31 China’s provincial was analysed by the fixed-effects model over 2009 to 2019. Empirical results highlight that: (1) the increase in the proportion of basic research investment has a significant promoting effect on regional economic growth efficiency, but it presents an "inverted U-shaped" impact path. Meanwhile, the threshold effect model test results reveal that basic research investment plays a more significant role in promotion when the per capita income level exceeds a certain threshold. (2) The test results of the mediating effect model indicate that the improvement of the level of human capital is the intermediate channel through which the investment in basic research affects regional economic growth efficiency, while the mediating effect of the increase of knowledge storage on the process of the investment in basic research affecting regional economic growth efficiency is not supported by data. Potential policy measures are discussed.

This paper uses the 5-five-minute high-frequency data of energy-listed companies in China's A-share market to extract the jump of energy stock prices and build a dynamic stock price jump complex network. Then, we analyze the clustering effect of the complex network. The research shows that the energy stock price jump is an important part of stock price volatility, and the complex network of energy stock jump risk has obvious time-varying characteristics. However, the infection problem of stock price jump risks needs specific analysis. China's coal industry has an important influence on the development of China's energy industry. According to the clustering analysis results of the network community, the clustering effect of the network community has time-varying characteristics. After October 2017, the clustering effect of the jumping risk of the coal industry and the new energy industry is obvious. The risk contagion within the new energy industry community is a key point for the development of the new energy industry.