At present, the story of ‘a drama with a fire and a city’ is constantly staged. In the deep integration of film and television and cultural tourism, will the popular drama stimulate the audience’s willingness to travel ? According to the SOR(stimulus-organism-response) theory, the research model of the influence of the hit drama on the audience’s willingness to travel was constructed, and the empirical research was carried out by using the structural equation structure. The results show that the content quality of the hit drama, program evaluation, empathy experience and sense of meaning of the program have a positive and significant impact on the audience’s willingness to travel. Audience program evaluation, empathy experience and program sense of meaning have a partial parallel mediating effect between the content quality of the hit drama and the willingness to travel. Based on this, suggestions for tourism destinations are proposed to enhance new media marketing represented by hot dramas.

The development model and strategy of Jiangxi’s animation industry in the context of the digital economy was explored, and a game model involving the government, animation enterprises, and the public was constructed using the evolutionary game theory. It is found that the level of the government’s digital technology investment and the local policy support significantly affect the strategy choices of each entity. The transformation cost of enterprises is crucial to their strategy, and low transformation costs and high innovation returns can increase the probability of digital innovation. The improvement of the digital literacy of the public has a significant impact on their participation behavior. Finally, a simulation analysis was conducted using MATLAB R2021a. Corresponding policy recommendations are put forward to promote the high-quality development of Jiangxi’s animation industry in the context of the digital economy.

Engineering projects are the core body of cooperation among countries along the “Belt and Road”. Mainly considering the environmental factor index, a national project construction cooperation factor evaluation system constructed, including 5 first-level indexes, 10 second-level indexes and 27 specific indexes. Using the relevant data from 2019 to 2023, entropy weight method and TOPSIS (technique for order preference by similarity to ideal solution) were used to quantitatively evaluate the degree of cooperation and its influencing factors in 64 countries and regions along the route. The results show that nine three-level indicators, such as the degree of government integrity, the legal perfection of GDP, and commercial convenience, have a significant impact on national engineering construction cooperation. There are obvious polarization and regional differences in the level of project construction cooperation among countries along the route.On the whole, the level of project construction cooperation in the “Belt and Road” countries has gradually improved.

Under the requirements of high-quality development and regional coordination, the construction of the “Belt and Road” Initiative in southwest China not only needs to consider the radiation capacity of the policy center city, but also needs to focus on its impact on the surrounding areas. Based on the panel data of 13 central cities of the “Belt and Road” in Southwest China from 2014 to 2021, using the economic radiation model under Fourier’s law, the economic radiation capacity of the central city was measured based on the growth pole theory, center-periphery theory and industrial gradient theory. Based on this, considering the moderating effect of industrial isomorphism and the stage characteristics of the radiation effect, the high-dimensional fixed-effect model and threshold regression model were used to empirically analyze the economic radiation effect of the central city, and further verify it through the “U” test. The results show that the “siphon” and “feedback” effects of the economic radiation of the central cities of the “Belt and Road” in Southwest China exist at the same time and show phased characteristics with different economic radiation intensities, but the long-term performance is “feedback” effect, which is strengthened by industrial isomorphism, indicating that the implementation of the “Belt and Road” policy has a significant role in promoting the development of Southwest China.

Low-carbon evaluation is a process of comprehensively assessing the environmental behavior and performance of enterprises, which helps to shape their positive environmental image and enhance their sense of social responsibility. In the context of low carbon economy, enterprise performance assessment involves not only quantitative indicators but also qualitative indicators. By constructing a hybrid multi-attribute performance evaluation index system, the uncertainty data of non-quantitative indicators of low-carbon enterprises were evaluated by trapezoidal fuzzy numbers, and the fuzzy entropy weighting method was used to determine the weights of the indicators, and then the multi-criteria weighted aggregation method was used to calculate the comprehensive performance evaluation value of the enterprise. Finally, the enterprise’s low-carbon development level can be ranked according to the fuzzy credibilistic mean and variance of performance.

Taking the companies listed on the Shenzhen Stock Exchange from 2018 to 2022 as research objects, a two-way fixed-effects model was constructed to explore the relationship between IBF, quality of information disclosure and enterprise innovation efficiency through empirical analysis, and the main research hypotheses were tested for robustness. It is found that the implementation of IBF can significantly enhance the innovation efficiency of enterprises, and the quality of information disclosure plays a partial mediating role between IBF and enterprise innovation efficiency. The study provides a new perspective for understanding the association mechanism between IBF and enterprise innovation efficiency, which is of theoretical and practical significance for promoting enterprise innovation development.

Based on the perspective of green innovation, the impact of management equity incentive on green innovation of listed companies in heavily polluting industries in Shanghai and Shenzhen A-shares from 2006 to 2022 was empirically tested. The research shows that the management stock incentive plan promotes the green innovation of heavy polluting enterprises, and the conclusion is still reliable after using instrumental variables to mitigate the endogeneity and other robustness tests. Mechanism analysis shows that management equity incentive can promote green innovation output by easing financing constraints and increasing R&D investment. Heterogeneity analysis shows that there is no significant difference between the property rights nature and incentive model, and the effect of equity incentive is more significant when the enterprise is in the growth stage and the decline stage.

Based on the theoretical framework of “technology-organization-environment”, the influencing factors of innovation performance improvement of new energy enterprises were constructed. Taking 141 listed new energy enterprises as samples, fuzzy set qualitative comparative analysis method was used to explore the configuration path of innovation performance improvement of new energy enterprises. The results indicate that R&D capability, innovation resources, innovation consciousness of senior management team, firm scale, market competition and government support are not independent influences but the results of multi-factor synergies. Three configuration paths to improve the innovation performance of new energy enterprises are the “technology-environment” logic and “technology-organization-environment” logic led by the consequent innovation path, and the “organization-environment” logic led by the potential innovation path. There is a complementary and substitutive relationship among innovation resources, R&D capabilities and executive team innovation consciousness, and R&D capabilities have a more significant impact on the innovation performance of new energy enterprises than innovation resources.

Digital applications can achieve a win-win situation for economic and ecological benefits, which is particularly important for the green transformation of enterprises. Based on data from Chinese A-share listed companies from 2013 to 2022, how digital application affects corporate green innovation was explored by constructing a panel econometric model on the basis of measuring digital application indicators. Research findings indicate that digital applications are significantly positively correlated with green innovation. Under the examination of mechanism pathways, resource allocation plays a partial mediating role. After substituting key indicators, the conclusion remains valid. Enterprises should place great importance on digital applications, increase investment in research and development as well as digital infrastructure, and tap into the potential for green growth, among other things.

The proximity between the subjects of construction projects is an important factor that affects the performance of cooperative innovation. Based on the theory of multidimensional proximity, the longitudinal data of the cooperative innovation among Chinese project participants was collected to explore the influence mechanism of geographical, organizational, technological, institutional and relationship proximity on the cooperative innovation performance of construction enterprises. In order to better reveal the statistical and aggregate relationship between variables, negative binomial regression and fuzzy set qualitative comparative analysis(fsQCA) were used to analyze the binary relationship of cooperative innovation of 392 construction enterprises. The results show that geographical proximity, organizational proximity, institutional proximity, technological proximity and relationship proximity all significantly promote the cooperative innovation performance of construction enterprises. The antecedent configuration of high cooperative innovation performance of three types of construction enterprises is obtained by qualitative comparison and analysis, namely, “organizational leadership-resource integration” type, “system traction-cross-domain breakthrough” type and “technology coordination-collaborative creation” type.