Formulation Of Relevant Policies Research Articles

[Retrospective analysis of diagnosis and treatment of tuberculosis in designated medical institutions in China from 2017 to 2022].

Objective: To understand the status of tuberculosis diagnosis and treatment capacity and the development and changes of tuberculosis diagnosis and treatment in provincial and municipal designated medical institutions in China from 2017 to 2022, so as to provide a basis for the formulation of relevant policies for the improvement and development of designated medical institutions for tuberculosis and the tuberculosis prevention and treatment service system, and to provide reasonable support for further strengthening the capacity of designated medical institutions for tuberculosis. Methods: This study was initiated and carried out by Beijing Chest Hospital affiliated to Capital Medical University/Clinical Center for Tuberculosis Prevention and Control of China CDC (hereinafter referred to as "Clinical Center") by means of questionnaire survey, and the investigation was carried out from March to November 2023. During this period, the clinical center distributed questionnaires to the hospital member units of "Beijing Tuberculosis Diagnosis and Treatment Technology Innovation Alliance", retrospectively collected their tuberculosis-related diagnosis and treatment data from 2017 to 2022, and used descriptive statistical methods to analyze the number of tuberculosis beds, outpatients and hospitalizations in medical institutions. The results were expressed in absolute numbers (percentages), and three-line tables, bar charts and line charts were drawn to describe the analysis results and changing trends. Results: The 54 medical institutions surveyed in this survey included 21 provincial-level designated medical institutions and 33 prefecture-level designated medical institutions. Most medical institutions have set up clinical departments, auxiliary departments and functional departments to undertake public health tasks of infectious diseases. The tuberculosis laboratory in the hospital has a comprehensive ability and has the detection technology needed for most tuberculosis diagnosis; The number of tuberculosis beds, children's tuberculosis beds and ICU beds all showed an increasing trend from 2017 to 2022. The proportion of tuberculosis beds in the hospital decreased slightly, from 39.31% in 2017 to 34.76% in 2022, showing a slight downward trend. Compared with the hospital surveyed, the number of tuberculosis outpatients in 2019 was 562 029, and the number of outpatients in 2020-2022 was 462 328, 519 630 and 424 069 respectively, which was significantly lower than that in 2019. The number of tuberculosis outpatients in medical institutions decreased significantly from 2020 to 2022. By analyzing the proportion of patients with different types of tuberculosis, the proportion of sensitive tuberculosis outpatients in 2017-2022 decreased from 84.49% in 2017 to 78.05% in 2022, showing a downward trend year by year. The proportion of patients with multidrug-resistant/ rifampin-resistant tuberculosis increased from 2.03% in 2017 to 7.18% in 2022. From 2017 to 2019, the total number of inpatients with tuberculosis showed an upward trend. Compared with 2019, the number of inpatients in 2020, 2021 and 2022 showed a downward trend, and the decline in 2020 was large (down 14.94% compared with 2019). Among the inpatients, the absolute number and proportion of patients with sensitive pulmonary tuberculosis remained relatively stable, and the number and proportion of inpatients with multidrug-resistant/rifampin-resistant pulmonary tuberculosis increased year by year. Conclusions: Most medical institutions have the capacity to carry out routine diagnosis and treatment of tuberculosis, but the public health function needs to be strengthened. The transformation of medical institutions requires proper guidance and adequate support. During 2019-2022, most medical institutions were affected by the COVID-19 epidemic, and their tuberculosis diagnosis and treatment work also changed to varying degrees. During this period, hospitals took various measures to overcome difficulties and tried their best to maintain the normal development of tuberculosis diagnosis and treatment, and the tuberculosis diagnosis and treatment work of various institutions gradually resumed in 2022.

Does Farmers’ Cognition Enhance Their Enthusiasm for Adopting Sustainable Digital Agricultural Extension Services? Evidence from Rural China

The service model of digital agricultural technology extension, as a novel and sustainable approach, plays a pivotal role in facilitating the digital transformation of farmers’ agricultural practices. Leveraging survey data from 1475 farmers in China, the study employed a multivariate ordered logit model to investigate the relationship between farmers’ cognition and enthusiasm to adopt digital agricultural extension services. The findings revealed that subjective and objective cognitions positively influence farmers’ enthusiasm for adopting digital agricultural extension services. Furthermore, policy incentives, as a significant regulatory factor, effectively influence farmers’ cognition levels and enthusiasm to adopt digital agricultural extension services. Additionally, female respondents, farmers with higher educational levels, and membership in agricultural cooperatives all facilitate the adoption of these services. This study not only enriches the theoretical framework for agricultural technology promotion, aiding in the understanding of farmers’ decision-making processes when adopting digital agricultural extension services, but also provides a deeper insight into the role of digital agricultural technologies in promoting sustainable agricultural development, offering scientific evidence for relevant policy formulation and implementation.

Impact of the digital transformation of Chinese new energy vehicle enterprises on innovation performance

Digital transformation involves fundamental changes in business models, organizational structure, corporate culture, and even the way in which customers interact. Chinese new energy vehicle companies hope to achieve faster response speeds, greater operational efficiency, and better user experiences through digital transformation. Therefore, exploring how to successfully carry out digital transformation and its true impact on enterprise performance is of profound significance. The digital transformation of enterprises requires the embedding and absorption of network relationships to acquire and transform external resources and technologies, which further affects the innovation performance of these enterprises. This article introduces absorptive capacity as a mediating variable and network embeddedness as a moderating variable to construct a theoretical model, attempting to elucidate the mechanism of the impact of digital transformation on enterprise innovation performance. By combining theoretical and empirical analysis, the research hypotheses are tested, and the results show that 1. digital transformation (digital technology, digital products, and digital platforms) has a positive impact on enterprise innovation performance, 2. absorptive capacity plays a significant mediating role in the relationship between digital transformation and enterprise innovation performance, and 3. the embeddedness of network relationships has a significant positive moderating effect on the digital transformation of enterprises and their innovation performance. This article delves into an effective approach involving digital transformation, absorptive capacity, and enterprise innovation performance; analyses the moderating effect of network embeddedness; and concludes that the research findings have implications for the development of related research on digital transformation and enterprise innovation. The timely activities of enterprises to effectively carry out digital transformation, as well as the formulation of relevant policies, have positive significance.

External debt vulnerability in developing countries: the economic and policy perspectives

Purpose The purpose of this study is to empirically investigate how external debt vulnerability has affected the economy of emerging countries over time, with particular reference to Sub-Saharan African countries. It also deals with the policy issues associated with the economic effects. Design/methodology/approach The techniques of dynamic ordinary least squares and fully modified ordinary least squares are used in this investigation, covering the period 1990–2022. A panel of 43 Sub-Saharan African countries is used in the study. Findings The estimation results reveal that external debt vulnerability impacted negatively on economic growth, thus validating the concerns raised about the debt problem in Sub-Saharan Africa. Furthermore, the results revealed that domestic credit and openness of economy played a passive role and were therefore unable to cushion the adverse effect of debt vulnerability. Capital stock, however, stands out as the only variable that played a significant positive role in facilitating economic growth. The results are considered to be highly reliable for short-term forecast of economic growth and formulation of relevant policies. Originality/value Over the years, economic analysts and stakeholders have expressed concern about the inadequate ratio of foreign reserves to external debt in developing countries. The effect of this external debt vulnerability on the economy of these countries has yet to be given sufficient attention by researchers. In view of this perceived void, this current study is carried out to determine the economic and policy consequences of the problem.

Digital Infrastructure and Increasing Farmers’ Income: A Quasi-Natural Experiment Based on the “Broadband China” Strategy

Digital infrastructure serves as a significant catalyst for economic advancement, capable of narrowing the digital gap that exists between urban, rural, and regional areas. And it enables more people to enjoy the convenience brought by digitalization, and promote social inclusion and equality. This study employs the "Broadband China" strategy as a quasi-natural experiment and employs a progressive Difference-in-Differences (DID) model to investigate the effects of digital infrastructure on increasing farmers' income. The findings of the study indicate that the development of digital infrastructure can assist in increasing farmers’ income. The establishment of digital infrastructure has greatly facilitated industrial rationalization, non-agricultural employment and human capital improvement in rural areas, provided farmers with more business opportunities and employment options, and contributed to the realization of rural revitalization and common prosperity. This research provides empirical support to gain a more profound insight into the significance of digital advancement to rural economic growth, and also provides a useful reference for relevant policy formulation.

The loose monetary policy and the housing bubble

This research paper explores whether loose monetary policy has led to a real estate bubble. The background section of the study introduces the current impact of monetary policy on the real estate market and the importance of the formation and bursting of real estate bubbles. The significance of this research lies in understanding the mechanism by which monetary policy affects the formation of real estate bubbles and providing references for relevant policy formulation.

Scenario analysis of hydrofluorocarbons consumption and emission reduction in China's mobile air-conditioning sector

The automobile air conditioning industry is an important consumption area of hydrofluorocarbons (HFCs), and the analysis of the use and emission reduction of HFCs in this industry is of great significance for environmental protection. This study aims to measure and analyze the HFC consumption and emission reduction in China's MAC industry and the cost of emission reduction in automobile enterprises through an in-depth analysis, to provide a scientific basis for the formulation of relevant policies and to support the country in achieving HFC emission reduction targets in the field of environmental protection. In this study, the Gompertz model combined with the vehicle survival rate Weibull was used to predict the vehicle ownership and sales in China, and then the HFC consumption and emission reduction in China's MAC industry and the cost of emission reduction in automobile enterprises were measured and analyzed with reference to the experience of relevant domestic and foreign measurement models. The results show that under the four scenarios of R27-X29, R29-X29, R29-X29, and R29-X35, the cumulative use of HFCs will be reduced by 61.44%−73.19%, and the cumulative emission will be reduced by 51.85%−64.55% in the period of 2023–2060, while the cumulative abatement cost of the automobile enterprises in the period of 2023–2060 will be RMB 419.31–481.02 billion. 481.02 billion yuan. The adoption of a policy banning HFCs refrigerants in M1 and N1 vehicles has a significant effect on reducing HFCs consumption and emissions, and the abatement cost will decrease with the expiration of new refrigerant patents, increased demand, and technological advancements.

Studies Into the Potential Replacement of Swift with Digital Currency: Technology, Regulation, and the Market

With the rapid development of digital currency and blockchain technology, digital currency has attracted widespread attention as a new payment method. As a traditional cross-border payment and settlement method, SWIFT has significant advantages in its market position and technical capabilities. However, as a new payment method, digital currency has the advantages of speed, low cost, and no geographical restrictions, so it may become a substitute for SWIFT. This paper aims to study the possibility of a digital currency replacing SWIFT, focusing on the challenges and opportunities of digital currency in terms of technology, regulation, and market. In terms of technology, this paper would analyze the advantages and disadvantages of digital currency and blockchain technology and explore the technical application of digital currency in cross-border payment and settlement. In addition, this paper would also analyze technical issues, such as the security and scalability of digital currency, and propose corresponding solutions. In terms of regulation, this paper would analyze the regulatory framework and compliance requirements of digital currencies and the status and role of digital currencies in the international financial regulatory system. This paper would also explore the regulatory and compliance issues of digital currency and propose suggestions and solutions for digital currency regulation. In terms of market, this paper would analyze the competitiveness and application potential of digital currency in the international trade and cross-border payment markets, as well as the market prospect and business model of digital currency. In addition, this paper would also analyze the advantages and disadvantages of digital currency and traditional payment methods, as well as the challenges of digital currency in marketing and application. Through the analysis and discussion of technology, regulation, and the market, this paper aims to provide a theoretical and practical basis for digital currency to replace SWIFT and a reference for relevant policy formulation and practice. This paper provides a comprehensive and in-depth analysis and research on the possibility of a digital currency replacing SWIFT, covering technical, regulatory, and market issues. The structure of the thesis is clear, the logic is rigorous, the argument is clear, and it has innovation and practical value. This paper has important theoretical and practical significance in the continuous development and application of digital currency and blockchain technology. It has specific references and inspiration for research and practice in related fields.

Measuring the Synergistic Effect of Pollution and Carbon Reduction in China’s Industrial Sector

The industrial sector is a major source of CO2 and atmospheric pollutants in China, and it is important to promote industrial pollution reduction and carbon reduction to improve the quality of China’s atmospheric environment and meet CO2 peak targets. In this paper, based on 2005 to 2021’s panel data from the industrial sector, we construct a computational model of the synergistic effect of pollution reduction and carbon reduction, quantitatively evaluate the synergistic effect of industrial CO2 emissions and air pollutants, and explore its evolutionary mechanism. The results showed that between 2005 and 2021, there was a clear synergistic effect between CO2 and air pollutants in China’s industrial sector, and the synergistic effect is increasing. For different pollutants, CO2 and SO2 have the strongest synergies, and CO2 and particulate matter have relatively weak synergies. For different energy types, the synergies between coal-related carbon emissions and air pollutants gradually increase, while gas-related carbon emissions and pollutants tend to decrease. From different industry types, the synergies between CO2 and air pollutants are weaker in high-polluting and high-emission industries than in other industries. These results have strong policy implications. First, the focus of synergistic measures should be on source reduction. The second is to make high-polluting and high-emission industries the focus of pollution reduction and carbon reduction. Third is harmonized management of air quality standards and carbon peaking should be promoted. The formulation of relevant policies from the above three aspects will help synergize pollution reduction and carbon reduction in the industrial sector.

Prediction Model of Electric Power Carbon Emissions Based on Extended System Dynamics

In response to global climate change, China has committed to peaking carbon emissions by 2030 and achieving carbon neutrality by 2060, commonly known as the “30–60 Dual Carbon”. Under the background of “30–60 Dual Carbon”, this article takes the electric power industry, which is the main industry contributing to China’s carbon emission, as the research object, explores the time and peak value of the carbon peak of the electric power industry, and analyzes whether carbon neutrality can be realized under the peak method, so as to get the carbon neutrality path of the electric power industry and serve as the theoretical basis for the formulation of relevant policies. The Environmental Kuznets Curve inspection and the relationship analysis are carried out, then the system dynamics model is constructed, the carbon emissions from 2020 to 2040 are simulated, and the peak time is predicted. Three different scenarios are set to explore the path of electricity carbon neutralization under the premise of a fixed peak. It is shown that Gross Domestic Product per capita index factors have the largest positive contribution, and thermal power share index factors have the largest negative contribution to electricity carbon emissions. Based on the current efforts of the new policy, carbon emissions can achieve the peak carbon emissions’ target before 2030, and it is expected to peak in 2029, with a peak range of about 4.95 billion tons. After the power industry peaks in 2029, i.e., Scenario 3, from coal 44%, gas 9% (2029) to coal 15%, gas 7% (2060), where the CCUS technology is widely used, this scenario can achieve carbon neutrality in electricity by 2060. Adjusting the power supply structure, strictly controlling the proportion of thermal power, optimizing the industrial structure, and popularization of carbon capture, utilization, and storage technology will all contribute to the “dual carbon” target of the power sector.

Análise de dados da literatura chinesa no exterior com base na relação de coocorrência

Abstract In the past ten years, new progress has been made in the study of Chinese overseas, which provides important scientific basis for the work of Chinese overseas and the formulation of relevant policies. Through data mining and analysis of overseas Chinese literature from 2008 to 2021, this work studied the co-occurrence relationships among keywords, authors, research institutions, publication sources of target articles, references and citations. The results suggest a few things. In terms of keyword analysis, there is a high probability that keywords coexist among overseas Chinese, Chinese society and Chinese history. In addition, the degree of cooperation between authors and research institutions in overseas research in China is not high. In terms of target journals, references and citations, resources such as Journal of Overseas Chinese Historical Studies, Overseas Chinese Publishing Company and People’s Publishing House are the main publications published by most overseas Chinese research institutions. In addition, academic articles cite fewer of the journal’s journals. Based on the above problems, this study puts forward relevant recommendations for decision-making, in order to further promote the exchange, sharing and development of China’s overseas research results.

Spatiotemporal characteristic analysis of PM2.5 in central China and modeling of driving factors based on MGWR: a case study of Henan Province.

Since the start of the twenty-first century, China's economy has grown at a high or moderate rate, and air pollution has become increasingly severe. The study was conducted using data from remote sensing observations between 1998 and 2019, employing the standard deviation ellipse model and spatial autocorrelation analysis, to explore the spatiotemporal distribution characteristics of PM2.5 in Henan Province. Additionally, a multiscale geographically weighted regression model (MGWR) was applied to explore the impact of 12 driving factors (e.g., mean surface temperature and CO2 emissions) on PM2.5 concentration. The research revealed that (1) Over a period of 22 years, the yearly mean PM2.5 concentrations in Henan Province demonstrated a trend resembling the shape of the letter "M", and the general trend observed in Henan Province demonstrated that the spatial center of gravity of PM2.5 concentrations shifted toward the north. (2) Distinct spatial clustering patterns of PM2.5 were observed in Henan Province, with the northern region showing a primary concentration of spatial hot spots, while the western and southern areas were predominantly characterized as cold spots. (3) MGWR is more effective than GWR in unveiling the spatial heterogeneity of influencing factors at various scales, thereby making it a more appropriate approach for investigating the driving mechanisms behind PM2.5 concentration. (4) The results acquired from the MGWR model indicate that there are varying degrees of spatial heterogeneity in the effects of various factors on PM2.5 concentration. To summarize the above conclusions, the management of the atmospheric environment in Henan Province still has a long way to go, and the formulation of relevant policies should be adapted to local conditions, taking into account the spatial scale effect of the impact of different influencing factors on PM2.5.

Motivation and Performance of Backdoor Listing: A Case Study of Shunfeng

With the arrival of the new normal of economic development, the growth rate of business volume in the express delivery industry has been gradually slowing down since 2015, while the emergence and development of the e-commerce industry will have an impact on traditional express delivery enterprises. Through the survey method, comparative method and literature method, this paper selects the case of the backdoor listing of SF, and through the analysis of the internal and external motivations of the backdoor listing, the performance analysis using the consolidated financial performance method, as well as the analysis for its listing risks, it can provide reference and reference for the future listing of enterprises. The results of this paper indicate that most of the courier industry chooses to go public by backdoor listing in order to broaden their financing channels, and that backdoor listing can improve corporate performance to a certain extent. In addition, this paper can provide an evaluation method and reference experience for other enterprises to list in shells, and provide reference ideas for potential shell companies whether to give up shell resources. It also provides regulatory suggestions for the formulation of relevant policies in China.

Can managers’ facial expressions predict future company performance and risk? Evidence from China

This paper adopts a cognitive dissonance theory viewpoint to investigate the impact of managers’ facial emotion on market performance and risk in Chinese listed companies from 2016 to 2022, and employs a deep learning model to analyze managers’ facial emotion. We find that the more positive facial expressions of managers in earnings conference call predict better market performance, lower volatility and stock price crash risk. After conducting a series of robustness tests, the conclusion still holds. This study provides investors with a new analytical method and also provides market regulators with a reference for relevant policy formulation.

Spatiotemporal Distribution and Evolution Characteristics of Water Traffic Accidents in Asia since the 21st Century

As an important mode of transportation for the global trade, waterborne transportation has become a priority option for import and export trade due to its large load capacity and relatively low cost. Meanwhile, shipping safety has been highly valued. By collecting technological water traffic accident data from the EM-DAT database, the spatiotemporal distribution and evolution characteristics were investigated in Asia since 2000. The methods of gravity center and standard deviation ellipse analysis were utilized to determine the spatial and data-related characteristics of water traffic accidents. Temporally, the results indicated that accidents occurred most frequently during the seasons of autumn and winter, leading to a significant number of casualties. Spatially, both South-eastern Asia and Southern Asia emerged as regions with a high frequency of water traffic accidents, particularly along the borders of Singapore, Malaysia, Indonesia, and the Bay of Bengal region. In addition, the Daniel trend test and R/S analysis were conducted to demonstrate the evolution trend of accidents across various regions and seasons. The present study provides guidance for improving marine shipping safety, emergency resource management, and relevant policy formulation.

Study on the Mechanism of People's Will in Historical and Cultural Protection

Historical and cultural protection is an important task, which aims to protect and pass on the precious historical heritage and cultural traditions of mankind. In this process, the mechanism of popular will becomes particularly important. The people are the creators, inheritors and beneficiaries of history and culture, and their participation and support is an indispensable force for the protection of history and culture. This study will explore the mechanism of people's will in historical and cultural conservation, aiming to reveal people's attitudes, needs and participation in historical and cultural conservation. By studying the mechanism of the people's will, it can provide reference for the formulation of relevant policies and promote the effective implementation of historical and cultural protection.

Research on green innovation efficiency measurement and influencing factors in the three major coastal urban agglomerations in China

Introduction: Behind China’s booming economy lies a series of environmental and resource consumption issues. After continuous research and exploration, scholars generally agree that green innovation is a crucial way to solve this problem. As the core regions of China’s economic development, studying the green innovation level of the three major urban agglomerations can help understand China’s progress in this area. It can provide beneficial experience and inspiration for other urban agglomerations and the formulation of relevant policies in the future.Methods: This paper selects the panel data of 40 cities in Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD), and Pearl River Delta (PRD) urban agglomerations from 2010 to 2020 as the research object. The super-efficiency SBM (slack-based measure) model and Malmquist-Luenberger (ML) index are used to measure the green innovation efficiency (GIE) and its dynamic evolution rules, and the Tobit regression model is constructed to analyze the influencing factors of GIE.Results: The PRD urban agglomeration has the highest GIE level, while the GIE level in BTH and YRD shifted around 2015. Technical efficiency and technological progress together lead to increased GIE, with technological progress having a higher impact than technical efficiency. The regression coefficients of urbanization level, industrial structure, and science and technology level are 0.0078, 0.0071, and 0.0616, respectively, significantly promoting GIE. The coefficients of economic development level, foreign direct investment, environmental regulations, and SO2 emissions are −0.2198, −0.1163, −0.005, and −0.011, respectively, significantly inhibiting GIE. The coefficient of vegetation cover of 0.0228 has no significant effect on GIE.Conclusions: The overall GIE of the three major urban agglomerations is relatively high. Still, there is spatial variability in GIE among different cities, accompanied by the phenomenon of two-level differentiation. The study suggests that improving GIE requires enhanced interventions at both the city level and the level of influencing factors. This study enriches the theoretical results on the meso-level of GIE and provides theoretical guidance and practical directions for promoting green innovation in urban agglomerations, achieving peaking carbon and carbon neutrality, and promoting green and high-quality development.

Spatial distribution characteristics and causes of public sports venues in China

Public sports venues serve as a crucial material medium for human athletic activities. Research on their spatial distribution holds profound implications for optimizing spatial layout and promoting human sports endeavors. This paper takes interest points of sports venues in China as research samples, employing GIS spatial analysis tools, mathematical statistics, and Geo-detector as research methods. It systematically investigates the spatial distribution characteristics and causes of sports venues in China, aiming to provide insights and references for the optimization of spatial arrangement, sustainable development, and relevant policy formulation of sports venues in the country. The results indicate that: (1) In terms of overall distribution characteristics, sports venues in China present a multi-centric agglomeration in geographical space. (2) From a regional distribution perspective, the spatial layout of these venues reveals a pattern of “more in the south, less in the north,” “dense in the southeast, sparse in the northwest,” and a coastal strip distribution. (3) Regarding spatial correlation, the hot and cold spot partitions of sports venues largely align with the “Hu-Line”, with their spatial distribution tending towards a positively correlated pattern of high–high clustering and low–low clustering. (4) There is evident heterogeneity in factors affecting sports venues’ spatial distribution. The distribution results from the interactive coupling of multiple factors, where the interaction between any two factors offers stronger explanatory power for the spatial layout of the venues.

Analysis of Public Technology Collaborative Innovation Based on Private Technology: A Tripartite Evolutionary Game Approach

Public technology collaborative innovation serves as an essential driving force to implement the innovation-driven strategy as well as promote national and regional economic sustainable development. Moreover, strengthening the construction of public technology collaborative innovation system is likewise of great significance for strengthening the quality and technology level of enterprises, enhancing their independent innovation capability, and achieving strategic transformation. Particularly, collaborative innovation of public technology in accordance with mature private technology enables the efficient allocation of technological and economic resources. In practice, there are still issues including high innovation costs, insufficient motivation, and low efficiency of innovation. Existing research typically ignores the technical cooperation among multiple parties. An evolutionary game model of public technology collaborative innovation is established in this paper to examine the interaction mechanism among the government, enterprises, and technology owners. For the purpose of analyzing the dynamic evolution of public technology collaborative innovation behavior and its influencing factors, numerical simulation experiments were conducted with meaningful results: (1) Setting the cost and benefit allocation coefficient in a scientific manner contributes to system stability and promotes cooperation among game players. (2) Reasonable government subsidies and penalties can assist in the formation of an active technological innovation between the firm and the technology owner. (3) The pricing method of private technology transfer is a significant factor influencing the evolution process. Besides, the adoption of a technology pricing method on the basis of government interests is conducive to the formation of a stable tripartite win-win situation. The research on collaborative innovation of public technology is further expanded in this paper, offering a reference for the formulation of relevant policies aimed at promoting cooperation in public technology innovation.

Analysis on the Current Situation of Death Education for College Students in China

A person's life is like a book, with birth as the cover and death as the back cover. People can't change the cover and back cover, but the stories in the book can be written freely. Birth, aging, illness and death are unchangeable natural laws, but people can choose what attitude to face. The development of death education can guide college students to treat life and death correctly, understand the value and significance of life and death, and face life better. This paper analyzes the present situation of the development of college students' death education in China through literature analysis, and puts forward some suggestions to promote the development of death education in China, so as to provide reference for further research and the formulation of relevant policies. It is necessary to carry out death education from the following three aspects: the government should improve relevant policies; universities should establish a death education system; and society should build a good death education environment.