Reducing the use of traditional fossil energy and optimizing the energy consumption structure is an important starting point for China to balance sustainable and stable economic development, dual carbon goals and energy security. Green finance can help improve the energy consumption structure through providing financial support for green development. Based on this, taking the proportions of coal consumption as the index of energy consumption structure, this paper uses panel data for 30 provinces in China from 2009 to 2019, and analyzes the impact of green finance on energy consumption structure and its mechanism. The results show that the development of green finance in China has significantly improved the energy consumption structure, when considering the endogenous and robustness, the conclusion is still valid. In the mid-western region, green finance plays a greater role in improving the energy consumption structure. With the help of the quantile regression model, it is found that the higher the proportion of coal consumption, the greater the improvement effect of green finance on energy consumption structure. With the help of the threshold model, it is found that when exceeding the threshold value, the improvement effect of green finance on energy consumption structure will decline. Both the market and the government can enhance the role of green finance in optimizing the energy consumption structure. According to the research conclusion, the suggestions for improving the energy consumption structure of green finance are given from the aspects of developing green finance, formulating differentiated green finance development strategies, and encouraging green innovation.

The concept of value co-creation brings about changes in tourists’ roles from value receivers to producers. Most existing studies take value co-creation behavior as a single dimension, ignoring the role switching of tourists. Starting from the precise constitution of value co-creation behavior, this paper, utilizing the method of structural equation modeling (SEM), discusses the mechanism of the effects of tourist participation behavior and citizenship behavior on destination loyalty through each sub-dimension of perceived value. The results showed the following: (1) The participation behavior (in-role) and citizenship behavior (extra-role) of tourists affect different value dimensions. (2) The value co-created by tourists presents a hierarchical state from the primary to the higher level. Among the types of value, novelty and social value belong to the primary level while quality, economic, knowledge, and emotional value belong to the higher level. (3) Destination loyalty is driven not only by tourist behavior (in-role) but also by citizenship behavior (extra-role). Based on the perspective of role switching, this paper establishes the theoretical framework of role switching in the era of value co-creation and proposes some strategic suggestions for marketing transformation.

Green development has become one of the important concepts leading China’s economic developments, and it is extremely meaningful to boost the continuous growth of agricultural green total factor productivity (AGTFP) to achieve the construction of a powerful agricultural country. Using China’s provincial data from 2011 to 2020, this manuscript calculates AGTFP through the SBM–GML model, and the digital green finance (DGF) through a comprehensive indicator system. The double fixed-effect model, quantile model and spatial Durbin model are used for in-depth study of the benchmark influence, the nonlinear effect and spatial spillover effect of DGF on AGTFP. The main research conclusions of the article are as follows: (1) DGF is significantly conducive to the improvement of AGTFP. Along with the continuous growth of AGTFP, the promoting effect of DGF has gradually increased. (2) In terms of impact path, green finance can properly promote the growth of AGTFP, while the role of the degree of digitization is not very significant. Meanwhile, the main channel for DGF to promote AGTFP is through green technology efficiency. (3) The impact of DGF on AGTFP varies spatially, while the role is more effective in regions with a higher degree of economic development and well-developed modernization. (4) There is a spatial spillover effect of DGF’s impact on AGTFP, which means that DGF can simultaneously promote the growth of AGTFP in local regions and neighboring regions.