Molecular characterization and environmental impact of newly isolated lytic phage SLAM_phiST1N3 in the Cornellvirus genus for biocontrol of a multidrug-resistant Salmonella Typhimurium in the swine industry chain.

Salmonella Typhimurium is a highly lethal pathogenic bacterium in weaned piglets, causing significant treatment costs and economic losses in the swine industry. Additionally, due to its ability to induce zoonotic diseases, resulting in harm to humans through the transmission of the pathogen from pork, it presents a serious public health issue. Bacteriophages (phages), viruses that infect specific bacterial strains, have been proposed as an alternative to antibiotics for controlling pathogenic bacteria. In this study, we isolated SLAM_phiST1N3, a phage infecting a multidrug-resistant (MDR) S. Typhimurium wild-type strain isolated from diseased pigs. First, comparative genomics and phylogenetic analysis revealed that SLAM_phiST1N3 belongs to the Cornellvirus genus. Moreover, utilizing a novel classification approach introduced in this study, SLAM_phiST1N3 was classified at the species level. Host range experiments demonstrated that SLAM_phiST1N3 did not infect other pathogenic bacteria or probiotics derived from pigs or other livestock. While complete eradication of Salmonella was not achievable in the liquid inhibition assay, surprisingly, we succeeded in largely eliminating Salmonella in the FIMM analysis, a gut simulation system using weaned piglet feces. Furthermore, using the C. elegans model, we showcased the potential of SLAM_phiST1N3 to prevent S. Typhimurium infection in living organisms. In addition, it was confirmed that bacterial control could be achieved when phage was applied to Salmonella-contaminated pork. pH and temperature stability experiments demonstrated that SLAM_phiST1N3 can endure swine industry processes and digestive conditions. In conclusion, SLAM_phiST1N3 demonstrates potential environmental impact as a substance for Salmonella prevention across various aspects of the swine industry chain.

Analysis of the global trade network of the chip industry chain: Does the U.S.-China tech war matter?

Chip is the "brain" of the information industry and modern manufacturing industry, and supply chain security is the key to the sustainable development of the industrial chain. From the perspective of the industrial chain, this paper selected semiconductor silicon wafers and equipment, integrated circuits, electronic computers, and components as representative commodities in the upstream, midstream, and downstream of the chip industry chain, constructed global trade networks of the chip industry chain, and analyzed the characteristics of the networks and nodes in 2020 and the changes in China's status before and after the China-U.S. tech war. The study results indicate that the network scale and network density of the global trade network of downstream electronic computers and components are higher than those of midstream integrated circuits; the global trade network of upstream semiconductor wafers and equipment has the smallest network scale and network density, and the trade networks of all links show obvious small-world characteristics; The United States ranks first in betweenness centrality of all links, with the strongest control ability and the largest number of trading partners in all links; China has higher betweenness centrality and more trading partners in the global trade network of the two upstream commodities than that of the midstream commodities, and the lowest betweenness centrality in the global trade network of the downstream commodities; The core countries of the chip industry chain are concentrated in southeast Asia, east Asia, central and western Europe, and the United States. China's trade status of semiconductor silicon wafers and integrated circuits has declined significantly during the China-U.S. tech war. The nodes in the chip trade network have good robustness in the face of random attacks and show vulnerability under target attacks. Additionally, the trade network's robustness in the chip industry chain is the strongest for downstream commodities, ranks second for midstream commodities, and is the weakest for upstream commodities. These findings can provide references for ensuring chip supply chain security in China and other trade-participating countries.

Comparative life cycle assessment of the linear and circular wine industry chains: a case study in Inner Mongolia, China.

Environmental issues and the sustainability of the wine industry receive widespread public attention, but few studies address the environmental impact of the circular wine industry chain. Therefore, we applied the life cycle assessment (LCA) method to a wine enterprise in Inner Mongolia, China, to conduct a cradle-to-gate assessment and comparative analysis on the linear and circular wine industry chain scenarios. The results show that the circular industry chain (S2) has better environmental benefits; the total value of each environmental impact category of S2 is reduced by more than 80% compared with that of the linear industry chain (S1). The global warming potential of S1 is decreased from 4.88 kg CO2eq to 0.919 kg CO2eq for S2. Viticulture is the primary source of environmental problems in all life cycle stages of both scenarios, and electricity and diesel consumption are the key factors affecting the results. Our study shows that the optimization of S2 significantly improves resource efficiency and energy utilization and alleviates the environmental burden through proper waste recycling. Finally, we proposed optimization suggestions based on S2. This study provides scientific guidance for promoting the wine industry to build a circular industry chain and optimize the industrial structure, thus promoting the sustainable development of the industry.

Analysis of China's non-ferrous metals industry's path to peak carbon: A whole life cycle industry chain based on copper.

Copper is an essential nonferrous metal, and the adjustment of its whole industry chain structure is conducive to realizing a carbon peak in the nonferrous metal industry. We have performed a life cycle assessment to calculate the carbon emissions of the copper industry. Based on the carbon emissions scenarios of shared socioeconomic pathways (SSPs), we have utilized material flow analysis and system dynamics to analyze the structural changes in the copper industry chain from 2022 to 2060 in China. The results show that (1) the flows and in-use stocks of all types of copper resources will increase significantly. The overall copper supply may meet demand around 2040-2045 due to secondary copper production potentially replacing primary copper production to a large extent, and trade supply is the primary pathway for meeting copper demand. (2) The total carbon emissions from the regeneration system are the smallest (4 %), followed by the production and trade subsystems, accounting for 48 %. The embodied carbon emissions from copper product trade in China have expanded annually. (3) Under the SSP scenario, the copper chain carbon emission peak will be achieved by approximately 2040. Based on a balanced copper supply and demand scenario, the recycled copper recovery efficiency must reach 84.6 %, and the energy structure (the proportion of non-fossil energy in electricity) must reach 63.8 % by 2030 to achieve the carbon peak target for the copper industry chain in China. The above conclusions indicate that actively promoting adjustments in the energy structure and resource recovery processes may help encourage the carbon peak of nonferrous metals in China by realizing the carbon peak of the copper industry.

Evolution game analysis on behavioral strategies of multiple stakeholders in construction waste resource industry chain.

Rapid urbanization in China in recent years has led to a dramatic increase in the number of construction engineering projects and amount of construction waste, and the resource utilization of construction waste is an effective way to low-carbon and energy conservation construction. However, the nation has experienced a low utilization rate of construction waste resources, slow development of its construction waste recycling industry chain in various areas, low coordination of various stakeholders in the industry chain, and incomplete industry chain management. Therefore, in this study, a game model is first used to analyze the decision-making game and its stability strategy among multiple stakeholders in the recycling of construction waste. An income matrix of the three parties, i.e., the government, construction companies, and recycling enterprises, in the construction waste industry chain is then established and the Jacobi matrix used to obtain their evolution and stability strategy (economic incentives, green production, and scale-up). Finally, conclusions are drawn from the simulation analysis of the model: (1) The ratio between fine and subsidy should be reasonably controlled such that the recycling of construction waste by the construction companies is positively related to government supervision. (2) The inflow of renewable products into the market should be promoted to change the perception of the public. (3) A new mode of construction waste management should be developed to link various stakeholders in the industry chain. This study provides scientific and reasonable management suggestions in line with the actual situation of China and provides a useful reference for local government to choose appropriate policies to address the problem of construction waste recycling industry chain.

Analysis of global mRNA drug industrialization dynamics / 药学学报

The successful development and application of mRNA COVID-19 vaccine fully illustrated the great potential and application prospect of mRNA technology in the field of biomedicine. Currently, many companies worldwide are developing drugs and vaccines based on mRNA technology for the prevention and treatment of various diseases. It can be foreseen that with the continuous launch of mRNA drugs, commercial GMP production capacity matching them is also urgent. The optimization of production processes, intelligent manufacturing and other risk control strategies, as well as the control of industrialization costs, will help improve the core competitiveness of mRNA innovative drug development. In view of this, this article will provide an overview of the global production process of mRNA drugs and the progress of related GMP production dynamics, sort out the key chain points of the mRNA industry chain, explore the construction of the mRNA pharmaceutical enterprise value chain and the formation of core competitiveness, and provide reference and reference for the research and development of innovative mRNA drugs and high-quality development in China.

Special Economic Zone, Carbon Emissions and the Mechanism Role of Green Technology Vertical Spillover: Evidence from Chinese Cities.

Although the special economic zones (SEZs) are considered the backbone of rapid economic development in China, it is unclear whether they contribute to green economic development. From the perspective of the localized industrial chains formed as a result of the SEZ policy, this paper aims to analyze and explain how the development of SEZs influences carbon emissions in Chinese cities by promoting green technologies' vertical spillover along the industrial chain. Based on the panel data of 264 prefecture-level cities from 2011 to 2016 and a relatively new and mostly disaggregated city-level MRIO (multi-region input-output) table in China, this paper constructs green technology vertical spillover as a mechanism variable and discusses the influence theoretically and empirically. The results show that the development of SEZs can reduce a city's carbon emissions. More specifically, for every 10 m2 increase in the size of the SEZ area, the carbon dioxide emission can be reduced by 0.882 g per m2 of the city area. Moreover, mechanism analysis shows that the development of SEZs promotes green technology vertical spillover inside the city, through which the SEZs reduce the city's carbon emissions. The mediation effect occupies 21.96% of the total effect. Furthermore, the impact of the development of SEZs on carbon emissions has regional heterogeneity due to the city's industry structure, green technology stocks, and the zones' administrative hierarchies. The finding of this study could provide several important implications for regional green development, especially in China.

Risk Transmission of Trade Price Fluctuations from a Nickel Chain Perspective: Based on Systematic Risk Entropy and Granger Causality Networks.

Nickel is a strategic mineral resource, with 65% of nickel being used in stainless steel. The situation in Ukraine starting in February 2022 has led to significant fluctuations in nickel prices, with prices of nickel products along the same chain affecting and passing through each other. Using systematic risk entropy and granger causality networks, we measure the volatility risk of trade prices of nickel products using the nickel industry chain trade data from 2000-2019 and explore the transmission patterns of different volatility risk prices from the industry chain perspective. The findings show that: (1) Nickel ore has the highest risk of import trade price volatility and a strong influence, but low risk transmission. Stainless steel has the highest trade price impact but is also subject to the strongest passive influence. (2) The Americas have a higher risk of trade price volatility but a weaker influence. The influence and sensitivity of trade prices is stronger in Asia and Europe. (3) Indonesia's stainless steel export prices have a high rate of transmission and strong influence. Germany's ferronickel export prices are highly susceptible to external influences and can continue to spread loudly. Russian nickel ore export prices are able to quickly spread their impact to other regions.

Spillover Network Features from the Industry Chain View in Multi-Time Scales.

Financial stocks in the industry chain interact notably because of close economic and technical relationships. Some participants pay particular attention to one industry chain and are concerned with different investment horizons. The motivation for this study is to offer more targeted information to various market participants who focus on different time scales in one industry chain from a systematic perspective by combining the GARCH-BEKK, heterogeneous network, and wavelet analysis methods. The findings are as follows: (1) For parties who prefer to take more risks to gain higher returns, scale 2 (4-8 days) is a good option, while long-term investment (32-128 days) is suitable for conservative investors. (2) In most cases, some links in the industry chain are particularly sensitive to changes in stocks in other links. (3) The influence, sensitivity, and intermediary of stocks in the industry chain on different time scales were explored, and participants could use the resulting information to monitor the market or select stocks. (4) The structures, key players, and industry chain attributes of the main transmission paths differ on multi-time scales. Risk transmission can be controlled by intercepting important spillover relations within the paths.

Multiscale Price Lead-Lag Relationship between Steel Materials and Industry Chain Products Based on Network Analysis.

As two main steelmaking materials, iron ore and scrap steel have different price lead-lag relationships (PLRs) on midstream and downstream steel products in China. The relationships also differ as the time scale varies. In this study, we compare the price influences of two important steel materials on midstream and downstream steel products at different time scales. First, we utilize the maximal overlap discrete wavelet transform (MODWT) method to decompose the original steel materials and products price series into short-term, midterm, and long-term time scale series. Then, we introduce the cross-correlation and Podobnik test method to calculate and test the price lead-lag relationships (PLRs) between two steel materials and 16 steel products. Finally, we construct 12 price lead-lag relationship networks and choose network indicators to present the price influence of the two materials at different time scales. We find that first, most scrap steel and steel products prices fluctuate at the same time lag order, while iron ore leads most steel products price for one day. Second, products that exist in the downstream industry chain usually lead to iron ore. Third, as the time scale becomes longer, the lead relationships from steel materials to steel products become closer.

Construction of a Traceability System for Food Industry Chain Safety Information Based on Internet of Things Technology.

The continuous development of the social economy, has stimulataed an increase in the satndard of living and increased the deman for consumption resulting in the demand for high-quality and safe food has continued to increase. The so-called food safety means that the food that people eat under certain conditions will not harm human health. Frequent food safety incidents have highlighted the seriousness of my country's food safety problems and exposed loopholes in my country's food safety supervision. This article aims to study the construction of the Internet of Things technology in the food industry chain safety information traceability system, research on the RFID technology, GPS technology, and sensor technology in the Internet of things technology, and also conduct some research on the modules of the food industry chain safety information traceability system. This paper proposes to integrate the Internet of Things technology into the construction of the food industry chain safety information traceability system. First, a detailed analysis of some of the technologies that may be used is carried out, and then through the investigation of people on food safety and other aspects, and the food traceability system satisfaction survey. The experimental results in this article show that 40% of women pay more attention to food safety. Of course, in the satisfaction survey of the food safety traceability system based on the Internet of Things technology, it has been recognized by more than 20% of the people.

The coupling effect between economic development and the urban ecological environment in Shanghai port.

With the rapid development of ports in the world today, the ecological environment pollution of port cities is becoming more and more serious. How to coordinate the port industry and the urban environment is an urgent problem to be solved. This article proposes a system to evaluate the coordination between port industry chain development and the urban ecological environment by taking Shanghai Port as an example. The Principal Component Analysis (PCA) method was applied to calculate the weights of various indexes, then the Coupling Coordination Degree Model (CCDM) was adopted to systematically study the coordination relationship between port industry development and the urban ecological environment. Our research finds the coupling coordination degree between Shanghai Port's economic development and the urban ecological environment shows an overall upward trend, changing from severely misaligned in 2000 (0.125) to barely coordinated in 2019 (0.691). Shanghai has achieved some results in constructing the ecological environment and green port, but there is still much room for improvement. Shanghai port needs to strengthen container transportation, enhance energy conservation and emission reduction, and vigorously promote the development of a green port. This study will provide a basis and reference for relevant institutions, government departments, and policymakers to formulate scientific and effective green port industry chain development strategies.

Spatial effect analysis of heterogeneous green technology innovations on pollution emission reduction: evidence from China's power industry.

Based on the provincial panel dataset of the power industry in China from 1997 to 2020, this study employed the dynamic spatial Durbin model (SDM) to investigate the spatial effects of heterogeneous green technology innovations (GTIs) of the power industry chain-clean energy GTIs (GTI1), fossil-fueled GTIs (GTI2), energy-saving GTIs (GTI3), and power transmission technology innovations (GTI4)-on three pollution emission reduction: SO2, solid waste (SW), and waste water (WW). The empirical results revealed that three pollution emissions showed "path dependent" and "snowball effects." GTI1, GTI2, and GTI3 reduced local SO2 and SW emissions, while GTI2 and GTI4 had no obvious reduction effects on WW emissions. Different GTIs had the same spatial "symbiotic effects" on SO2 emission reduction in the short term, showing positive spatial spillover reduction effects. Finally, it is of great significance to make full use of the positive spatial spillover effects of GTIs to promote the regional collaborative linkage of pollutant governance in the power industry.

Explaining the stability of cooperation in agricultural industry chains based on the institutional theory: Multiple mediating effects of perceived value and trust.

Introduction: Due to the superposition of multiple complex socioeconomic environments and the complexity and uncertainty of the agricultural industry chain itself, the agricultural industry chain has become unstable, jeopardizing its long-term sustainability. Methods: The purpose of this study is to construct and validate a stability mechanism model of cooperative relationships within agricultural industry chains based on the institutional theory. The questionnaire survey method was used for empirical analysis. Results: The results show that imitative pressure, mandatory pressure, and normative pressure have significant positive effects on the stability of cooperative relationships in agricultural industrial chains. Besides, perceived benefits, perceived risks, and trust play composite multiple mediating roles between imitative pressure and cooperation stability, and between normative pressure and cooperation stability in agricultural industrial chains. Perceived benefits and trust play partial mediating roles in the stability of cooperative relationships between mandatory pressure and agricultural industrial chains. Discussion: This study is conducive to further understanding the cooperative psychology of agricultural industry chain operators. And this research can provide a reference for managers to take targeted measures to deal with the instability in the development of agricultural industry chains.

System dynamic analysis of construction waste recycling industry chain in China.

With the acceleration of China's urbanization process, construction activities have led to a substantial increase in construction waste. However, as China's construction waste recycling rate is low, it is difficult to convert construction waste into valuable products for the sustainable development of waste resources. The biggest reason for this is the construction waste industrial chain, which is imperfect and has many problems. In this study, a simulation model is established using system dynamics software Vensim PLE. The analogue simulation shows that (1) China generates a large amount of construction waste every year. If construction waste source reduction measures are implemented, it will inhibit 50% of the waste generated. Upstream enterprises in the industry chain should actively develop waste reduction technology and improve waste reduction management; (2) marginal effect exists in the single waste reduction measure, but the government should implement more portfolio reduction measures to enhance the reduction effect, which is often three times that of the single policy; (3) the middle stream recycling enterprises in the industry chain cannot solely rely on government subsidies to reduce the cost of waste recycling. It is necessary to create synergistic linkages with more responsible entities upstream and downstream of the industry chain, thus creating a new model in construction waste management. (4) Government policies tend to drive the purchasing power of building material market. The government should actively exert its subjective initiative, supervise and provide policies to help the downstream enterprises that supply recycled building materials in the industry chain, and change the rigid understanding of contractors and owners about recycled building materials. The research conclusions can provide theoretical guidance for industry chain-related enterprises and government management departments in policy formulation, so that construction waste is sustainably developed.

Co-evolutionary simulation study of multiple stakeholders in the take-out waste recycling industry chain.

Take-out waste causes severe environmental pollution and wastes resources; thus, recycling of take-out waste is an urgent problem that must be addressed. From the co-evolutionary viewpoint, we used evolutionary game theory to build a tripartite game model involving government, consumers and enterprises, and then made simulation analysis using Vensim® software, exploring the evolutionary equilibrium and the main driving factors. The simulation results showed that (1) no matter what government's, consumers' or enterprises' initial strategy is, through imitation and evolution, the three will eventually arrive at the state in which government chooses regulation, the consumer chooses a green approach, and an enterprise chooses to participate in the recycling industry chain. (2) The consumer (government) plays a role of promoter (guide) in the evolutionary process in the take-out waste recycling industry chain. (3) The higher the regulatory costs or penalties for enterprises not participating in the recycling industry chain, and the larger the subsidy to consumers for choosing a green approach and to enterprises for participating in the recycling chain, the sooner the government will stabilize a no-regulation strategy. (4) The higher the cost of enterprise participation in the recycling chain, the later the government will arrive at the stabilization strategy. (5) The higher the penalty to an enterprise, the earlier the enterprise will evolve to the stabilization strategy; the higher the subsidy to consumers (enterprises), the earlier consumers (enterprises) will evolve into the stabilization strategy, and the higher the cost of enterprise participation, the later the enterprise will evolve into a stable strategy. This study is expected to provide a reference for governments to formulate effective waste management policies.

[Occupational health risk assessment of coal dust in coal industry chain].

Objective: To grasp the present situation of occupational hazards of coal dust in our country, understand our country coal dust workers' occupational health risks, provide information based on evidence and analysis for the government and organize to effectively deal with the current status of high coal workers pneumoconiosis incidence in China, and protect coal dust workers' occupational health. Methods: The research object is the " mining-transportation-use" of coal industrial chain, referring to 33 units. Use field investigation to obtain the coal dust exposure, dust prevention measures and the occupational health data of study object. Use quantitative evaluation method of International council on mining and metals occupational health risk assessment model (ICMM method) and occupational hazard risk index method (index method) , with coal workers pneumoconiosis as health outcomes, to evaluate the coal dust occupational health risks of coal industrial chain. Results: The free silica content of partial coal dust in China is more than 10%, and even to 19.5%. coal dust concentration in workplaces, such as excavating system of dust coal mining (total dust: 22.1~46.5 mg/m(3), respiratory dust: 8.4~17.7 mg/m(3)) , dumper (total dust: 25.2 mg/m(3), respiratory dust: 6.9 mg/m(3)) , transfer tower (total dust: 35.4 mg/m(3)) of coal transportation and belt coal plough device of coal use (total dust: 36.3 mg/m(3), respiratory dust: 14.0 mg/m(3)) , are much higher than those in other workplaces, and coal dust concentration of workers in these places (2.6~9.3 mg/m(3)) are much higher than those in other places, which are statistically significant. ICMM method evaluation results show that the risk value of excavating system is between 504~1 089, and the risk value of comprehensive mining system is between 347~2 040, which are far statistically significant higher than that of other systems. Index method evaluation results (excavating system risk value between 3.1~9.7, fully mechanized system risk value between 3.7~9.3) , are basically identical with ICMM method (correlation coefficient r=0.857, P<0.01) . The new cases of coal worker pneumoconiosis are distributed in three post of coal mining, excavating and coal mine mixing. Conclusion: Coal-dust hazards are widely distributed in the coal "mining, transportation, and use" industrial chain, which of the underground coal mine is as serious as intolerable, meanwhile the risk of other industrial chain is basically can tolerable. The high coal dust concentration and the high risk of coal dust occupational hazard are concentrated in the excavating system and the comprehensive mining system. It is recommended to start the study on risk assessment and risk response of coal dust health hazard at the national level, and the occupational exposure limit of coal dust should be established according to the content of free silica.

Occupational health risk assessment of coal dust in coal industry chain / 中华劳动卫生职业病杂志

Objective@#To grasp the present situation of occupational hazards of coal dust in our country, understand our country coal dust workers' occupational health risks, provide information based on evidence and analysis for the government and organize to effectively deal with the current status of high coal workers pneumoconiosis incidence in China, and protect coal dust workers' occupational health. @*Methods@#The research object is the " mining-transportation-use" of coal industrial chain, referring to 33 units. Use field investigation to obtain the coal dust exposure, dust prevention measures and the occupational health data of study object. Use quantitative evaluation method of International council on mining and metals occupational health risk assessment model (ICMM method) and occupational hazard risk index method (index method) , with coal workers pneumoconiosis as health outcomes, to evaluate the coal dust occupational health risks of coal industrial chain. @*Results@#The free silica content of partial coal dust in China is more than 10%, and even to 19.5%. coal dust concentration in workplaces, such as excavating system of dust coal mining (total dust: 22.1~46.5 mg/m3, respiratory dust: 8.4~17.7 mg/m3) , dumper (total dust: 25.2 mg/m3, respiratory dust: 6.9 mg/m3) , transfer tower (total dust: 35.4 mg/m3) of coal transportation and belt coal plough device of coal use (total dust: 36.3 mg/m3, respiratory dust: 14.0 mg/m3) , are much higher than those in other workplaces, and coal dust concentration of workers in these places (2.6~9.3 mg/m3) are much higher than those in other places, which are statistically significant. ICMM method evaluation results show that the risk value of excavating system is between 504~1 089, and the risk value of comprehensive mining system is between 347~2 040, which are far statistically significant higher than that of other systems. Index method evaluation results (excavating system risk value between 3.1~9.7, fully mechanized system risk value between 3.7~9.3) , are basically identical with ICMM method (correlation coefficient r=0.857, P<0.01) . The new cases of coal worker pneumoconiosis are distributed in three post of coal mining, excavating and coal mine mixing. @*Conclusion@#Coal-dust hazards are widely distributed in the coal "mining, transportation, and use" industrial chain, which of the underground coal mine is as serious as intolerable, meanwhile the risk of other industrial chain is basically can tolerable. The high coal dust concentration and the high risk of coal dust occupational hazard are concentrated in the excavating system and the comprehensive mining system. It is recommended to start the study on risk assessment and risk response of coal dust health hazard at the national level, and the occupational exposure limit of coal dust should be established according to the content of free silica.

Stability of ecological industry chain: an entropy model approach.

A novel methodology is proposed in this study to examine the stability of ecological industry chain network based on entropy theory. This methodology is developed according to the associated dissipative structure characteristics, i.e., complexity, openness, and nonlinear. As defined in the methodology, network organization is the object while the main focus is the identification of core enterprises and core industry chains. It is proposed that the chain network should be established around the core enterprise while supplementation to the core industry chain helps to improve system stability, which is verified quantitatively. Relational entropy model can be used to identify core enterprise and core eco-industry chain. It could determine the core of the network organization and core eco-industry chain through the link form and direction of node enterprises. Similarly, the conductive mechanism of different node enterprises can be examined quantitatively despite the absence of key data. Structural entropy model can be employed to solve the problem of order degree for network organization. Results showed that the stability of the entire system could be enhanced by the supplemented chain around the core enterprise in eco-industry chain network organization. As a result, the sustainability of the entire system could be further improved.