Taxation is the core element that guides and promotes the upgrading of industrial structure, industrial structure ecologisation is an important part of realising green development, and evaluating and optimising the effect of taxation is of great significance to realising green development. Based on the analysis of the influencing factors and the mechanism of industrial structure ecologisation, a theoretical framework model of industrial structure ecologisation was established, and based on the theoretical model, a two-way fixed-effect regression model, a panel threshold model, an intermediary effect model and other econometric models were constructed, and the effect of taxation on industrial structure ecologisation was empirically analyzed. Corresponding optimisation suggestions are put forward in terms of perfecting the tax system and optimising the innovation environment.

Because of the separation of enterprise ownership and management rights, the contradiction between managers and shareholders is always the root cause of intensifying the conflict of interest between them. Equity incentive, as an effective medium and long term incentive mechanism for management, can alleviate agency problems and reduce agency costs, and is an important means to solve conflicts of interest. In order to improve the loyalty of the management to the company, prevent the short-sighted behavior of the management, and guide the management to maximize their personal talents, based on the data of Shanghai and Shenzhen A-share listed companies from 2014 to 2022, descriptive statistics, correlation analysis, regression analysis and other analytical methods were used to study the relationship between executive equity incentives and corporate performance. It is found that the implementation of equity incentive has dual significance. It can not only effectively improve enterprise performance, but also reduce agency costs.

Fully leveraging the role of data elements is a powerful support for achieving high-quality economic and social development. Based on Information Ecology Theory, a data governance ecosystem was constructed from three dimensions such as information, information subjects and information environment. Using relevant index reports and statistical data from 2023, a fuzzy set qualitative comparative analysis method was used to analyze the combined path impact of seven conditional variables which were data resource level, government digital attention, citizen digital needs, citizen digital literacy, government financial level, digital infrastructure and digital innovation capability on the performance in data governance of provincial-level governments in China. The results show that, from a single perspective, digital infrastructure is a key factor affecting the performance of high-level data governance. Low levels of data resources, low digital literacy of citizens and low digital innovation capabilities are important factors leading to the performance of low-level data governance. From the perspective of configuration conditions, there are six paths to generating the performance of high-level data governance, which can be further classified into three types, such as total-factor development type, resource-led type and environment-driven type. It is necessary to explore adaptation paths among multiple important elements for Provincial governments based on their own development conditions.

Uusing data from the China Household Tracking Survey to match data with the County Digital Countryside Index (2018), the impact effect of digital countryside and its four sub-dimensions on the upgrading of rural households’ consumption structure was studied. Benchmark regression shows that the digital countryside facilitates the upgrading of rural households’ consumption structure, and mechanism research indicates that rural households’ non-farm income and residents’ digital skill level are important factors that promote the digital countryside to enhance the upgrading of consumption structure. Heterogeneity analysis shows that the impact of digital countryside on the upgrading of the consumption structure of different rural areas, different characteristics of households and different heads of households is different.

In order to analyze the impacts of differentcarbon allowance allocation rules of the government on independent remanufacturing, a game model between an original equipment manufacturer and an independent remanufacturer was established based on the grandfathering rule and the benchmarking rule. The impacts of the two different carbon allowance allocation rules on the optimal production decisions, profits, and the environment of the members of the closed-loop supply chain were compared. The results show that the lower sales of new products and the higher sales of remanufactured products under the grandfathering rule are more friendly to environmental protection while promoting the development of the remanufacturing industry. The original equipment manufacturer and the independent remanufacturer can realize a win-win profit in the grandfathering rule when the total carbon quota and baseline carbon quota meet specific requirements.

Taking a closed-loop supply chain composed of manufacturers and retailers as the research object, the impact of different environmental and social responsibility modes on system decision-making was explored. The results show that supply chain members who do not bear environmental and social responsibility can benefit from the environmental and social responsibility behaviors of other members of the supply chain. The environmental and social responsibility behaviors of any supply chain member can effectively improve the environmental and social governance performance of the system and improve the reliability of products. The environmental and social responsibility behaviors of supply chain members will have a profit effect, which can effectively adjust the profit distribution of the system.

Changpoling National Forest Park is rich in biological resources, excellent in resource endowment and beautiful in ecological environment, which is the natural cornerstone for developing natural education and promoting the harmonious coexistence between man and nature. However, in the long-term practice of nature education, being subject to the management system, resource development and utilization, basic service facilities and marketing strategies and other factors, its natural education potential has not been fully released, and thus has not become an effective way to promote the high-quality development of forest parks. In order to give full play to the long slope ridge national forest park in the natural education potential conditions and advantages, natural education engine leads the long slope ridge national forest park high quality development, the relevant subject need from the service optimization, talent training, marketing innovation and management system in the face of forest park to upgrade, promote forest park natural education career flourish, provide strong power for forest park high quality development, and for Guiyang city ecological civilization and healthy city construction to make due contributions.

Recent frequent extreme natural disasters and major public health crises have intensified the convergence of traditional and emerging risks, significantly threatening urban public safety. To address the knowledge gap regarding non-traditional risks, a city-level “risk-resilience capacity” assessment framework under the holistic national security paradigm was developed. Four Chinese megacities were evaluated, such as Qingdao, Nanjing, Hangzhou and Dongguan. The results are as follows. Nanjing demonstrates superior economic development capacity, whereas Hangzhou underperforms. Hangzhou leads in social security capacity, contrasting with Dongguan’s deficiencies. Dongguan exhibits the strongest ecological resilience, while Nanjing ranks lowest. The analysis identifies GDP-driven economic capacity and social security expenditure as critical resilience determinants.

The 21st century is an era of explosive development of data information, and data is filled with the whole field of society. In the field of public service, the research of public service digital transformation is gradually favored by the theoretical and academic circles. Influenced by the inevitable trend of digitization of public services, the spillover effect of standardization, and the integration of digital information, it has become urgent to think about how to construct the mechanism of digital transformation and upgrading of public services. however, the digital transformation of public service has the constraints of supply mode, supply layout and supply diffusion, which makes the digital upgrading of service deeply hindered. this paper takes “service trial”, “service diffusion” and “service acceptance” as the analysis frame. focus on the digital transformation of high-quality public services, from the transport of digital service resources, distribution and quantitative control of facilities; top-down and bottom-up service diffusion paths; strengthen the effectiveness evaluation of digital services. in order to break the barriers of digital transformation and upgrading of public services, promote the connection between digital transformation and high-quality development of services, and help the in-depth advancement of chinese-style modernization.

Under the double constraints of resources and environment, improving green total factor productivity is crucial to realizing high-quality development. The Emissions Trading System has entered a deepening stage of development after decades of piloting in China, and it is of great significance to research the impact of the implementation of the Emissions Trading System on green total factor productivity. Taking the Emissions Trading System implemented in 2007 as a natural experiment, based on the panel data of 30 provinces(due to the lack of data, the statistical data mentioned here do not include the Tibet Autonomous Region, the Hong Kong Special Administrative Region, the Macao Special Administrative Region and Taiwan Province) in China from 2004 to 2020, difference-in-difference method (DID) was employed to explore the impact and mechanism of the Emissions Trading System on GTFP. The results highlight that the Emissions Trading System significantly enhances regional GTFP. The impact mechanism test shows that the Emissions Trading System further enhances GTFP by promoting green innovation and industrial structure upgrading. Relevant government departments can use the research findings as policy insights to further maximize the role of the Emissions Trading System in promoting economy and green development.