Green Sustainable Development Research Articles

Refractories analysis, teaching train and entrepreneurial guidance for college students

Refractory materials are important basic support materials in the field of high-temperature industry, and are facing the challenges of more efficient, better quality, multi-functional, environmental protection and green. In the face of global core technology competition and sustainable development of resources, the high-temperature industry will be committed to product optimization and research alternative technologies. The development goal of China's high-temperature industry is to produce high-quality products, achieve efficient production, sustainable green development and intelligent manufacturing. However, the current situation and future of the refractories industry is not optimistic, the system is backward, the brain drain, the lack of successor, has become a prominent problem facing the industry. The teaching and training of college students plays an important role in the development of refractory industry. By focusing on the combination of professional knowledge and practice, training students' innovative thinking and ability to cooperate with the industry can provide talent support for the development of the industry, solve the current problems, and promote the development of the industry to a more efficient, environmentally friendly and intelligent direction.

Optimized preparation of gangue waste-based geopolymer adsorbent based on improved response surface methodology for Cd(II) removal from wastewater

Resource utilization of gangue solid waste has become an essential research direction for green development. This study prepared a novel gangue based geopolymer adsorbent (GPA) for the removal of Cd(II) from wastewater using pretreatment gangue (PG) as the main raw material. The ANOVA indicated that the obtained quadratic model of fitness function (R2 > 0.99, P-value <0.0001) was significant and adequate, and the contribution of the three preparation conditions to the removal of Cd(II) was: calcination temperature > Na2CO3:PG ratio > water-glass solid content. The hybrid response surface method and gray wolf optimization (RSM-GWO) algorithm were adopted to acquire the optimum conditions: Na2CO3:PG ratio = 1.05, calcination temperature of 701 °C, solid content of water glass of 22.42%, and the removal efficiency of Cd(II) by GPA obtained under the optimized conditions (GPAC) was 97.84%. Adsorption kinetics, adsorption isotherms and characterization by XRD, FTIR, Zeta potential, FSEM-EDS and BET were utilized to investigate the adsorption mechanism of GPAC on Cd(II). The results showed that the adsorption of Cd(II) from GPAC was consistent with the pseudo-second-order model (R2 = 0.9936) and the Langmuir model (R2 = 0.9988), the adsorption was a monolayer adsorption process and the computed maximum Cd(II) adsorption (50.76 mg g−1) was approximate to experimental results (51.47 mg g−1). Moreover, the surface morphology of GPAC was rough and porous with a specific surface area (SSA) of 18.54 m2 g−1, which provided abundant active sites, and the internal kaolinite was destroyed to produce a zeolite-like structure where surface complexation and ion exchange with Cd(II) through hydroxyl (-OH) and oxygen-containing groups (-SiOH and -AlOH) were the main adsorption mechanisms. Thus, GPAC is a lucrative adsorbent material for effective Cd(II) wastewater treatment, complying with the “high value-added” usage of solid wastes and “waste to cure poison” green sustainable development direction.

Developing a Sustainable Business Model of Ecotourism in Ethnic-Minority Regions Guided by the Green Economy Concept

China as a relatively large group of ethnic minorities in a country, the existence of ethnic minorities on the development of society had a great impact. At present, mass tourism in minority areas has brought many positive benefits, but also produced negative effects such as environmental pollution, local culture extinction and over-commercialization, which affected the business model of sustainable development of tourism in minority areas. Therefore, this paper aims at optimizing the environment, culture, commercialization and other issues of tourism in ethnic minority areas, and promoting the sustainable development of tourism in ethnic minority areas. Using principal component analysis and high-order confirmatory factor analysis model, this paper discusses the basic situation of tourism environment in minority areas from the perspective of tourists’ cognition. Taking the 4A-level scenic spots in three emerging areas of China as a case study, this paper provides a reference for the future tourism development of emerging areas, and considers the impact of COVID-19 epidemic. Firstly, it introduces the current tourism development in emerging areas. Then, the scale is designed by high-order factor analysis. Six first-order factors and 31 s-order factors are used to analyze the perceived quality of tourists in ethnic areas. Finally, this paper evaluates the tourism development in minority areas through the above design. In this paper, a total of 863 random tourists are investigated. It is found that the perceived quality of tourists in emerging market areas is the inclusive perception and evaluation of tourists. It involves the supply of tourism enterprises, the service of tourism staff, infrastructure and public management, the life of community residents and personal tourism experience. This paper comprehensively evaluated the tourism development of emerging areas from the above six aspects, and provided reference for the future green sustainable development of tourism in emerging areas through factor analysis. The research results provide a reference for optimizing the basic mode of tourism environment, culture and commercialization in emerging areas. Meanwhile, it also contributes to optimizing the research methods of tourism development and user perception in emerging market areas.

A review of environmental friendly green composites: production methods, current progresses, and challenges

The growing concern about environmental damage and the inability to meet the demand for more versatile, environmentally friendly materials has sparked increasing interest in polymer composites derived from renewable and biodegradable plant-based materials, mainly from forests. These composites are mostly referred to as "green" and they can be widely employed in many industrial applications. Green composites are less harmful to the environment and could be potential substitutes for petroleum-based polymeric materials. It is helpful to limit usage of fossil oil assets by developing biopolymer matrices such as cellulose-reinforced biocomposites using renewable assets such as plant oils, carbohydrates, and proteins. This paper focuses on green composites processing utilizing a variety of naturally available resources, sustainable materials which are not detrimental to the environment, new scientific signs of progress in achieving green sustainable development, as well as nanotechnology and its environmental consequences. Additionally, the environmental impacts of different composite materials are examined in this paper, along with their production from eco-friendly materials. Moreover, the manufacturing aspects of green composites and some concerns related to their production are also discussed. The merits of green composite materials and valid reasons why they are a valuable substitute for the traditionally used composite materials are also covered.

Role of sustainable green development through AMMT in improving performance of manufacturing industries

Role of sustainable green development through AMMT in improving performance of manufacturing industries

The Influence of Environmental Protection Investment on Financial Risk of Shanghai and Shenzhen A-share Listed Companies An Empirical Study Based on Heavily Polluted Industries

Green and sustainable development has been paid more and more attention by the state, and the control of environmental pollution has become the core problem to be solved in the national green sustainable development, so enterprises need to invest in environmental protection to improve the environment. In this paper, 106 listed companies in heavily polluted industries from 2015 to 2019 are selected, and the impact of environmental protection investment on financial risk is analyzed by using multiple regression model. It is found that the environmental protection investment of enterprises has a positive impact on the financial risk. Compared with the non-state-owned enterprises, the environmental protection investment of state-owned enterprises has a greater impact on financial risk. This paper reveals the effect of environmental protection investment in enterprises, and provides the basis for the government to actively guide enterprises. In this regard, this paper puts forward the following suggestions: enterprises can actively adjust the investment structure of environmental protection; the government can actively play to the role of independent directors.

Green fashion concept approach to MSMEs’ sustainable green development

Green fashion telah menjadi tren dan perhatian penting dalam konsep keberlanjutan. Green fashion adalah seni komprehensif multidisiplin dalam mendorong perkembangan pesat keterampilan UMKM fashion yang ramah lingkungan. Konsep green fashion bertujuan untuk memanfaatkan dan menggunakan bahan tidak habis pakai atau limbah, serta bahan-bahan alami menjadi pakaian yang memiliki nilai dan manfaat lebih sebagai orientasi keberlanjutan. Hal paling penting dalam konsep green fashion adalah pengenalan dini terhadap pakaian yang ramah lingkungan dipastikan akan memberikan perubahan signifikan pada UMKM fashion, melalui desain seni, mode etis, dan estetika. Telah lama diakui bahwa konsep green fashion dibangun melalui tiga unsur, yaitu: reduce, reuse, dan recycle yang berlandaskan teori Triple Bottom Line adalah sebuah solusi efektif dan efisien sebagai implementasi dalam mencapai kemakmuran dan keberlanjutan setiap elemen bangsa.

The impact of natural resource endowment and green finance on green economic efficiency in the context of COP26

The 26th Conference of the Parties to the United Nations Framework Convention on Climate Change (COP26) emphasized that all parties should focus on practical actions for the next step, take “implementation” as the key word, vigorously promote green and low-carbon development and accelerate the application of the United Nations 2030 Agenda for sustainable development. Green sustainable development has become an important factor in achieving the goals of COP26, so improvements in green economic efficiency (GEE) has become the focus of governments, enterprises and academia. This study selected data from 30 regions across China between 2007 and 2021, used the super-efficiency SBM method to evaluate GEE and then used a tobit model to verify the effects of natural resource endowment and green finance on GEE; thus, based on the results of our empirical analysis, we proposed countermeasures to improve green economic efficiency. Our conclusions were as follows: (1) the average GEE value was 0.737, there was an overall rising trend during the study period, the low-level GEE areas were concentrated in the central and western regions and the high-level areas were in the eastern region; (2) the elasticity coefficient of natural resource endowments was negative, indicating a “resource curse” effect on the GEE that was long-term and persistent, and the impact of green finance on GEE had a “U"-shaped relationship, which was in line with the EKC hypothesis; (3) digital economies could promote GEE. The impacts of environmental regulations on GEE also presented “U"-shaped relationships. The influence coefficient of foreign direct investment on GEE was positive, had a low significance value and its coefficient was also small. The coefficients of the primary and secondary terms of the industrial structure index were positive, which confirmed that the tertiary industry sector could significantly improve GEE.

How Can Resource-Exhausted Cities Get Out of "The Valley of Death"? An Evaluation Index System and Obstacle Degree Analysis of Green Sustainable Development.

Resource-based cities are suffering from resource scarcity and environmental deterioration. Spirit, vitality and prosperity are disappearing and cities have moved towards "the valley of death" in terms of urban development. This typically appears in environments where it is difficult to maintain sustainable development. Based on empirical analysis, a qualitative analysis method for the selection of evaluation indicators, as well as a quantitative analysis method for index weighting and principal component extraction for constructing a three-level evaluation index system of green development for coal-resource-exhausted cities, was adopted. This study also discussed the life cycle at different development stages of resource-based cities, including mature resource-based and growing resource-based cities. We further argued that the obstacle degree can act as an evaluation basis and make recommendations accordingly to improve the green development of cities. Through star-standard divisions and statistical analysis, it can be explicated that the increase in green development in the first stage is greater than that in the later stage, which is more obvious in cities with lower stars. The results also show the evolution trend and stability coefficient. There is no end in sight for urban green development, and this study can provide a new perspective to relieve the declining trend and promote green sustainable development.

Coupling coordination and spatiotemporal dynamic evolution of the water-energy-food-land (WEFL) nexus in the Yangtze River Economic Belt, China.

The interrelationship between regional water, energy, food, and land systems is extremely complex. Hence, accurately assessing the coupling coordination relationship and identifying the influential factors of the water-energy-food-land nexus (WEFL nexus) are of utmost importance. This study proposes a novel analytical framework and evaluation index system for exploring interactions across the WEFL nexus. The comprehensive benefit evaluation index (CBEI), coupling coordination degree (CCD) model, and obstacle factor diagnosis model are integrated to assess and analyze the coupling coordination relationship and spatiotemporal dynamic evolution of the WEFL nexus in the Yangtze River Economic Belt (YREB) from 2006 to 2020. The results indicated that (1) the CBEI and CCD generally increased from 0.23 to 0.79 and 0.45 to 0.88, respectively, revealing the upward trend of the coordination development levels of the WEFL nexus in the YREB. (2) The lower reaches achieved a relatively higher coordination development degree than the upper and middle reaches of the YREB. (3) The findings of obstacle factors reveal that agricultural non-point source pollution control, waterlogging disaster prevention, industrial solid waste efficient treatment, and urban water-saving are the essential fields that need to be improved in YREB's future development. This study helps to understand the complex interrelation of the WEFL nexus at different spatial-temporal scales and provides a novel framework that can be used as an evaluation system and policy insights for a region's integrated resources, environmental management, and green sustainable development.

Will China's audit of natural environmental resource promote green sustainable development? Evidence from PSM-DID analysis based on substantial and strategic pollution reduction.

Countries around the world have become concerned about their responsibility to protect the environment and resources. In this paper, we established a model of multi-period PSW-DID (weighted propensity score matching- differences-in-differences) to test the effect of China's audit of natural resource. We found that: (1) local governments had a strategic incentive to reduce pollution, they paid more attention to environmental performance linked to individual promotion than to green innovation and development. (2) Compared with the long-term and complexity of water pollution control, they paid more attention to air pollution treatment. (3) In the long run, the environmental audit was indeed beneficial to the improvement of environmental quality, but the time of taking effect was the second year (one-year lag). (4) In addition, because of the contradiction between the neglect of human capital and the timeliness of environmental supervision, the local government did not show substantial pollution reduction. Therefore, local officials should foster the long-term responsibility consciousness of green innovation and pay more attention to the integration of human capital. The audit of natural resources should establish a long-term mechanism, which could establish a complete accountability system or change off-office audit to interim audit. The construction of audit big data platforms should pay more attention to substantive characteristic data, such as data on population inflow, which is not only a paper score of air pollution. This study can reveal the dilemma of pollution prevention and control in China, urge local governments to promote the rational flow of human resources, improve the innovation level, and achieve substantive pollution control and efficiency enhancement of green development.

Research on Technical Efficiency of Feed Use for Sustainable Beef Cattle Breeding in China: Evidence from 169 Beef Cattle Farmers

Sustainable green development, cost saving, and efficiency improvement have become the main theme of the high-quality development of China’s animal husbandry and the problem of overuse of feed should be paid more attention. Based on the 3-year input–output data of 169 beef cattle farmers, a trans-logarithmic stochastic frontier function was used to study the relationship between feed utilization efficiency and beef cattle breeding scale. The results showed that the average technical efficiency of feed utilization was 0.56, and the technical efficiency of feed utilization increased year by year. Simultaneously, it showed that Chinese beef cattle farmers pay more attention to feed utilization efficiency at this stage; the feed utilization efficiency of retail and medium-sized beef cattle farmers was in the best state in 2015 and 2016. In 2017, the feed utilization efficiency of small-scale beef cattle farmers was the best; the technical efficiency of beef cattle breeding will increase with the expansion of scale. The technical efficiency of beef cattle breeding will increase with the expansion of the scale, and the feed utilization efficiency of large-scale farmers is also better than that of retail farmers, and the scale of beef cattle breeding can bring better benefits. However, from the perspective of feed utilization efficiency, it is not the largest scale that represents the best efficiency, and from the perspective of breeding technology efficiency, the gap between various scales is gradually narrowing. This should also prove that under the condition of hard resource constraints, the large-scale development of beef cattle breeding is in line with the basic national conditions of China at this stage.

Can participation in cooperatives promote the adoption of green production techniques by Chinese apple growers: Counterfactual estimation based on propensity score matching

As one of the key links of agricultural green sustainable development, it is an effective path to popularize green production technology and promote farmers’ adoption of green production technology by using cooperatives as an organizational vehicle. Based on the survey of 314 apple farmers in Shaanxi and Gansu provinces, the degree of adoption of green production technology was measured by the coefficient of variation method. At the same time, in view of the selection bias of farmers’ participation in cooperatives, the propensity score matching method was used to evaluate the influence of farmers’ participation in cooperatives on the adoption of green production techniques. The results showed that participation in cooperatives increases the probability of farmers adopting green production techniques from 25.29% to 30.29%, indicating that cooperatives increase the degree to which farmers adopt green production techniques. In addition, increased cognition of green production, which increases the price and net profit of products sold and reduces expectations of green production risks, is the primary channel through which cooperatives lead farmers to adopt green production technologies. Participation in cooperatives, though, increased input costs for apple production. In order to strengthen the active role of cooperatives in the popularization of green production technologies, more support should be given to cooperatives, and emphasis should be placed on strengthening their institutional development so that they can be standardized and developed at a high quality.

Does green credit promote green sustainable development in regional economies?-Empirical evidence from 280 cities in China.

China has been exploring a sustainable development path that harmonizes economic growth and environmental protection, targeting to build a beautiful China. The role of green finance in adjusting the misallocation of financial resources and leading the green sustainable development of the real economy is receiving increasingly more attention. Currently, green credit accounts for more than 90% of the total green finance funding in China and constitutes the most significant component of the green finance matrix. Whether green credit effectively promotes the green and sustainable development of the regional economy largely determines the success of China's economic green transformation. Existing studies of green credit mainly focus on its influences on financing, investment, and emission reduction of environmental pollution industries or companies. Extending the literature by exploring whether green credit is effective in promoting green sustainable development and what impact green credit exerts on the upstream (energy inputs), midstream (technological innovation), and downstream (pollution outputs) stages of the green sustainable development value chain, is the leading research objective of this paper. This paper discusses the impact of green credit on green sustainable development based on city panel data from 2012 to 2019. The level of green sustainable development is calculated by the GML index based on SBM directional distance function. The city-level green credit scale is calculated from the green credit issued by banks, weighted by the density of bank branches in a city. Synthetic control methods are employed in the robustness analysis to reduce the impact of endogeneity issues. The results of this paper indicate that green credit can promote green sustainable development and the impact gradually strengthens over time as the incremental implementations of complementary policies with substantial constraints and incentives, through which pollution control and economic growth achieve a "win-win" situation. Furthermore, the results indicate that green credit reduces the overall amount of energy inputs while optimizing the energy input structure. However, green credit does not boost the green technological level and even crowds out high technical value green innovations. Besides, the pollution reduction effects of green credit are associated with the strength of green credit constraints and the importance of pollution industries in the local economy, which means green credit performs better pollution reduction effects in regions with relatively strong green credit binding effects or in regions where pollution industries are not local economic pillars. The empirical results are further validated through robustness tests, including changing scope and measurement variables and applying the synthetic control method. Although this paper provides valuable contributions to the research area of green credit and green sustainable development, specific limitations exist in the current study. Firstly, as the official information disclosure of green credit in China is not sufficient, existing studies, including ours, could only use estimation methods through different perspectives to measure green credit, which is overall logical and reasonable but may lose some accuracy. Secondly, since there might be a certain degree of lag in the effect of green credit on the economy, the dynamic impact and long-term effects of green credit deserve further study. Thirdly, considering the characteristics of the Chinese administrative systems, introducing the behavior of local governments and local officials into the analysis of green credit and green sustainable development could be valuable.

Evolutionary Game Analysis of Green Building Development Dynamic System under Government Regulation: From the Perspective of the Contractor

To speed up the development of green buildings (GB) and meet the requirements of low energy consumption, low carbon dioxide emissions, and green sustainable development, the key is to build a high-efficient green building dynamic system (GBDS). The government, the developer, and the contractor are the main power of GB promotion, and they are the main participants of GBDS. This paper aims to study how to improve the motivation of contractors’ investment and participation in GB under the government regulation measures, to make up for the gap of research on the contractor’s dynamic mechanism in the GBDS. In the research, evolutionary game theory was applied to build a dynamic model of the evolutionary game among the government, the developer, and the contractor, and the evolutionary laws and stability strategies of their game behaviors were analyzed. The research results show that the contractor’s motivation of building GBs depends on the sum of receipts after the mix of income from construction and government rewards and penalties. The higher the sum of receipts is, the more stable the contractor’s decision to participate in GBs is. When the government gives better incentive measures to the contractor, it is easier for the government, the developer, and the contractor to form an unanimous decision on the GB strategy, so the development dynamic system of GB is more stable.

Scenario Simulation for the Urban Carrying Capacity Based on System Dynamics Model in Shanghai, China

Shanghai, as an international metropolis, has an ever-growing population and ongoing economic development, so the pressure on the natural resources and the environment is continually increased. How to ease the tension among economy, resources and the environment? The sustainable green development of Shanghai has been the focus of the public and the government. Urban carrying capacity involves complex interactions among population, the economy and the environment. Understanding the balance between these elements is an important scientific issue for sustainable green development in Shanghai. For this purpose, the balance between urban development and ecological resources was emphasized, and population carrying capacity, GDP (Gross Domestic Product), green ecological index and added value of secondary industry were investigated to measure urban carrying capacity. The dynamic changes of the carrying population, GDP, green ecological index and the added value of the secondary industry in Shanghai during 2018–2035 were simulated using a system dynamics model including three subsystems and 66 variables from a macroscopic perspective. Five development scenarios were employed during the simulation, namely a status-quo scenario, an economic-centric scenario, a high-tech-centric scenario, an environment-centric scenario and a coordinated equilibrium scenario. The simulation results indicated that the potential of carrying population will decline by 2035, and the economic and ecological indicators will also be at a low level under the status-quo scenario, which is an inferior option, while the under coordinated equilibrium scenario, the ecological environment, population growth and economic development will all perform excellently, which is the best option. Therefore, the urban carrying capacity of population, economy and resources in Shanghai may be improved by increasing investment in scientific research, increasing the expenditure on environmental protection and improving the recycling efficiency of waste solid and water. The results provide insights into the urban carrying capacity of Shanghai city.

Performance evaluation of the practical application of cleaner production management system: A case study of steel enterprise

Recently, cleaner production (CP) has attracted more attention from developing countries because of its various advantages. However, due to the lack of management constraints, CP activities often cannot keep efficient for long. To alleviate this problem, we put forward the cleaner production management (CPM) system and applied it in China. Based on our previous research, this paper constructed a comprehensive performance evaluation system to effectively supervise the implementation effect of CPM system. By analysing the flows of material, energy and information, a multi-level index system integrating the CPM requirements and sustainable development needs was established. And the quantification of performance was realized by combining the analytic hierarchy process and grey relational degree operation, which reliability was confirmed by sensitivity analysis. The case study in Chinese steel enterprise showed that after implementing CPM system for three years, the overall performance level increased by about 25%. It has confirmed that the application of CPM mode could obviously promote the sustainable green development of the steel enterprise and provide the directions for carrying out CP plans in the next step, such as strengthening innovation of management system and improving employees' awareness of CP activities. In the context of enterprises seeking sustainable development, CPM system and performance evaluation possess broad application value.

Embodied Carbon Emissions in Export of Yangtze River Delta: Calculation and Decomposition of Driving Factors

The total export of the Yangtze River Delta exceeds 1/3 of China. This region is the backbone of China’s emission reduction and green transformation exports. This paper adopts input–output analysis to calculate direct carbon emission coefficients and embodied carbon in exports. Using the LMDI method, the total embodied carbon emissions and driving factors are quantitatively analyzed by region in terms of scale effect, structural effect and technology effect. Based on the results of the study, the government should actively promote the achievement of carbon neutrality goals by setting carbon emission standards or introducing regulatory policies and incentive mechanisms. Meanwhile, the export structure needs to be continuously optimized. It is necessary to accelerate technological innovation while actively promoting and encouraging the adoption of new energy sources in order to take a low-carbon, clean and sustainable green development path.

Impact of Digital Finance on Energy Efficiency in the Context of Green Sustainable Development

Limited by ecological conditions, in order to improve the innovation efficiency concerning energy, a change from “extensive” to “green” is required. The development of sustainable technology is the most important productive force. Economic development is centered on finance. Only by mutual penetration and interaction can China’s energy innovation be effectively promoted. “Green GDP (Gross Domestic Product)” is the main direction of China’s current economic development. A sustainable green digital economy is the primary condition for promoting energy efficiency, and it is the key to improving energy efficiency in China to achieve a green transition. Green finance for sustainable development refers to economic finance centered on energy conservation, environmental protection and technological innovation. Attention is constantly paid to the financial industry in China, and we are trying to combine the concept of environmental protection with financial development to promote the continuous development of China’s environmental protection economy. A company’s economic and environmental benefits will be improved from the point of view of improving resource conservation and reducing the environmental impact of equipment and processes. To achieve this goal, the “efficiency effect” of the financial system needs to be fully exploited to maximize energy efficiency. An empirical study about the relationship of financial performance and energy efficiency in the green sector is carried out while considering the environmental constraints. The results show that the expansion of the financial scale and the adjustment of the financial structure have increased the energy utilization efficiency by more than 15% from the past to the present and reduced the pollution of the ecological environment by more than 10% nationwide, realizing the effective allocation of resources. Digital finance is a new generation of financial services that combines the Internet and information technology with traditional financial service formats. Including Internet payment, mobile payment, online banking, financial service outsourcing and online loans, online insurance, online funds and other financial services. Therefore, the sustainable development of all aspects of finance has a huge catalytic effect on the doubling of energy utilization efficiency.

Can Media Attention Promote Green Innovation of Chinese Enterprises? Regulatory Effect of Environmental Regulation and Green Finance

Under the green sustainable development strategy, media attention has played a vital role in promoting green innovation of enterprises. Nevertheless, existing research mainly analyzes how media attention affects enterprise innovation behavior, while ignoring the role of environmental regulation and green financial policy. The main purpose of this study is to explore whether the media’s attention to environmental issues can promote the enterprise’s green innovation, whether the constraint policies of environmental regulatory and incentive policy of green financial can play regulatory roles, and whether these effects are heterogeneous among different types of enterprises. Based on the data of Chinese A-shared listed enterprises from 2010 to 2019, this paper draws the following conclusions by constructing the fixed effect models: First, media attention promotes the substantive and strategic green innovation of enterprises. Second, environmental regulation and green finance have positive regulatory effects on media attention and enterprise green innovation, and these regulation effects have a more significant impact on promoting substantive green innovation. Third, media attention is more sensitive in heavy pollution and state-owned enterprises green innovation. The results of the robustness test still support the conclusion, indicating that the conclusions are reliable. The research of this paper helps to clarify the role of environmental regulation and green finance in media attention and green innovation on a deeper level and puts forward targeted suggestions on how to stimulate enterprise green innovation from the perspective of media, government, and enterprises.