Research on Strategies to Promote the Integration of Industrial Chain,Innovation Chain,and Supply Chain in the Beijing-Tianjin-Hebei Region

With the rapid development of international economic integration,industrial competition has gradually evolved from a competition of enterprise capabilities and resources to a game of comprehensive system collaboration capabilities among all participating parties.That is,the competition in the current international economy has evolved into an interactive and collaborative competition among the“three chains”of industry chain,capital chain,and innovation chain.Based on analyzing the current situation of the integration of the industrial chain,innovation chain,and supply chain,this article deeply analyzes the geographical advantages of the three chains in the Beijing-Tianjin-Hebei region.From the perspective of scientific and technological innovation and talent cooperation synergy,it proposes the integration strategy of the three chains in the Beijing-Tianjin-Hebei region.

Analysis of the Supply Chain in Industrial Companies in Guayaquil,Ecuador-A Secondary Publication

This research clearly outlines the supply chain in a process of evolution and digital transformation,where the collaboration of its members is concentrated,having technological tools to help chain management.To analyze the advantages that this transformation produces in the supply chain,as well as its different processes,this study has a systemic perspective that involves precise elements for organizational development,such as the different phases of each process,operations,logistics,and distribution.It must be borne in mind that any strategy in industrial companies grants the automation of procedures in the supply chain and determines a product in any phase of production,making the organization more sensitive to any variation in orders.The methodology included a bibliographic and non-experimental review that allows a descriptive and analytical study,which details the various characteristics of the fact that is being investigated,collecting information through interviews with different people who are involved with industrial companies.Among the results obtained,it was identified that digital transformation helps reduce costs and generates greater profitability.In conclusion,it was obtained that the digital supply chain helps in each of the phases of the processes,these are supervised by devices that help to have fast and effective information.

Analysis of Patent Application Status of Scutellaria Barbata Industrial Chain Based on Patent Data

Objective To analyze patent application status of Scutellaria Barbata industrial chain and provide some suggestions for its patent application and product development.Methods Patent data were collected through IncoPat patent analysis system.Meanwhile,the patent analysis method combined with text mining method was adopted to analyze the situation and development trend of patent application in China’s Scutellaria Barbata industrial chain by using pie chart,bubble chart,trend chart and other visual charts to display the results.Results and Conclusion The patent application of Scutellaria Barbata in China mainly experienced three stages:Slow development,rapid development,and recession period.The number of patents is large,but the authorization rate is low.Individuals and enterprises are the main applicants for patent applications.Product development is involved in the whole industrial chain,but it basically focuses on its efficacy in downstream drugs,health food and other aspects.Therefore,government should enhance the awareness of patent protection,encourage collaborative innovation in industry-university-research to promote the combination of basic research and market application.Besides,it should provide theoretical support to tackle the problem of short board products,which can promote the transformation of scientific and technological achievements and contribute to the upgrading of Scutellaria Barbata industrial chain.

Research on the Digital Transformation of the Whole Industry Chain of Guangdong Supply and Marketing Cooperative

Guangdong Supply and Marketing Cooperative serves as an important institution for the“Three Rural Areas”in the Guangdong-Hong Kong-Macao Greater Bay Area.Its digital transformation and optimization serve as powerful supports for rural revitalization.This paper systematically reviews the main practices and effectiveness of the digital transformation within the Guangdong Supply and Marketing Cooperative.It also analyzes the current development dilemmas faced in the construction of digital supply and marketing.Additionally,it proposes targeted solutions,including building a big data resource base,optimizing the digital supply and marketing cloud platform,developing digital publictype agricultural social service applications,establishing a new model of rural e-commerce,enhancing the traceability management system for agricultural products,and strengthening the construction of the digital human resources system.These proposals aim to further promote the strategy for revitalizing the countryside.

Leveraging Blockchain with Optimal Deep Learning-Based Drug Supply Chain Management for Pharmaceutical Industries

Due to its complexity and involvement of numerous stakeholders,the pharmaceutical supply chain presents many challenges that companies must overcome to deliver necessary medications to patients efficiently.The pharmaceutical supply chain poses different challenging issues,encompasses supply chain visibility,cold-chain shipping,drug counterfeiting,and rising prescription drug prices,which can considerably surge out-of-pocket patient costs.Blockchain(BC)offers the technical base for such a scheme,as it could track legitimate drugs and avoid fake circulation.The designers presented the procedure of BC with fabric for creating a secured drug supplychain management(DSCM)method.With this motivation,the study presents a new blockchain with optimal deep learning-enabled DSCM and recommendation scheme(BCODL-DSCMRS)for Pharmaceutical Industries.Firstly,Hyperledger fabric is used for DSC management,enabling effective tracking processes in the smart pharmaceutical industry.In addition,a hybrid deep belief network(HDBN)model is used to suggest the best or top-rated medicines to healthcare providers and consumers.The spotted hyena optimizer(SHO)algorithm is used to optimize the performance of the HDBN model.The design of the HSO algorithm for tuning the HDBN model demonstrates the novelty of the work.The presented model is tested on the UCI repository’s open-access drug reviews database.

A Study on the Interest Linkage Mechanism of the Taxus Industry Chain in Pengshui Miao and Tujia Autonomous County

At the Taxus base of Pengshui Miao and Tujia Autonomous County,Chongqing,the comprehensive development and utilization of Taxus was carried out with seedling cultivation,understory economy,product processing,ecotourism and other aspects as the main line.The benefit linkage mechanism of the operation of the Taxus industrial chain was explored and analyzed,so as to extend and supplement the Taxus industrial chain.The two models of"company+farmer"and"company+village collective+farmer"are relatively close benefit linkage models,which indirectly promote the increase of farmers income and smoothly guarantee the operation of the industrial chain,thereby playing a positive role during the development of the Taxus industry.This study provides reliable countermeasures and suggestions for the sustained and healthy development of the Taxus industry in Pengshui County.

Industrial transmission effect of international metal price shocks in perspective of industry chain

Based on a new perspective of industry chain and selecting monthly data from February2006to December2015,this paper chooses eight Chinese industrial sectors to construct a SVAR model reflecting internal relationships among metal chains,analyzes the direct effects and indirect effects of international metal prices on output of various links in metal chains,then it investigates the main transmission path of international metal price shocks through decomposing the inflation pressure sources in metal chains.The results show that international metal price shocks not only affect industrial output in a direct way,but also indirectly affect the growth of output through the increased pressure on industrial inflation and then triggering a tightening of monetary policy implementation.Affected by factors such as the lack of market demand and the price transmission mechanism blocking,the direct effects of international metal price shocks mainly impact the upstream and midstream industry,while the downstream industry is mainly affected by indirect effects;in addition,the international metal price shocks have spillover effects on the industrial inflation,and transmit along the industry chain from upstream to downstream,and their strength weakens in sequence.

The Effects of Disruptive Thinking on the Food Industry*

This study aimed to understand disruptive thinking and how its ideas can change the food industry. This was achieved by identifying, studying, and understanding the impacts, current trends, and different disruptive ideas and innovations emerging in the food industry. The study was conducted through interpretive research philosophy by carrying out secondary data collection processes, where both qualitative and quantitative information was presented. Deductive approaches were also selected to apply existing theories and models, which were used to construct research hypotheses and present detailed findings. The study finds that, with disruptive thinking, enhancements in the product life cycle, new flavors, and improvements in food packaging have been possible. The supply chain, which is always considered a complex part of the food industry, has been streamlined, offering greater transparency and real-time tracking and improving quality control across distribution systems.

Analysis of Hongdao Clam Industrial Structure Based on Industry Chain

The vertical and transverse structures of Hongdao clam industry are described and analyzed objectively based on the perspective of industry chain. On the basis of field investigation,the key nodes of Hongdao clam industry chain,including nursery,breeding,processing,transportation and sale,are analyzed. It can be concluded that the development of clam industry chain is unbalanced,especially the deep-processing capacity is not strong,and the development of supporting industy lags behind. The horizontal industry chain of clam needs to be further improved. The corresponding suggestions are put forward: strengthening research on new nursery technology in later period,further extending the horizontal industry chain of clam,mining the depth of clam-related leisure industry,and upgrading service level of leisure travel.

Suggestions on the Good Development of Pharmaceutical Cold Chain Logistics in China

Objective To study the characteristics and problems of the development of cold chain logistics in pharmaceutical industry,and to provide a reference for the development of China’s drug logistics.Methods Literature analysis was used to investigate the development of drug cold chain logistics,relevant laws and regulations,and policies in China.Then,the problems of industry development were summarized and some suggestions were put forward by referring to the mature concept of international drug cold chain logistics system.Results and Conclusion China’s cold chain logistics in pharmaceutical field is growing,but it is still in the development stage.By increasing government support,scientific research investment and professional training,the comprehensive strength of drug cold chain logistics can be improved to a certain extent,and the safety of drugs can be guaranteed for the people.

Index system for assessing ecological stability of circular economy industrial chain of electronic industry and its empirical study

With the development of science and technology and the rapid growth of productive forees new and high technology industries have. For example, computer, mobile phone, etc. are increasingly popular, especially hi-tech products updating more and more quickly, which has initiated some problems： resources depletion, environmental pollution, ecosystems damage, etc. While people are enjoying convenient and comfortable life from hi-tech, they are worrying about quantities of e-wastes discharged.In order to reduce the amount and harm of e-wastes, this paper starts from the connotation of the ecological stability of circular economy electronics industry chain （CEEIC, for shorO, uses the food chain principle for reference to describe the links and connection of the electronics industry chain, and selects factors from the three link： production, consumption and recycle to construct indexes system based on their characteristics, with which a scientific evaluation is carried on for CEEIC by using fuzzy comprehensive evaluation.

Digital twin system framework and information model for industry chain based on industrial Internet

The integration of industrial Internet,cloud computing,and big data technology is changing the business and management mode of the industry chain.However,the industry chain is characterized by a wide range of fields,complex environment,and many factors,which creates a challenge for efficient integration and leveraging of industrial big data.Aiming at the integration of physical space and virtual space of the current industry chain,we propose an industry chain digital twin(DT)system framework for the industrial Internet.In addition,an industry chain information model based on a knowledge graph(KG)is proposed to integrate complex and heterogeneous industry chain data and extract industrial knowledge.First,the ontology of the industry chain is established,and an entity alignment method based on scientific and technological achievements is proposed.Second,the bidirectional encoder representations from Transformers(BERT)based multi-head selection model is proposed for joint entity–relation extraction of industry chain information.Third,a relation completion model based on a relational graph convolutional network(R-GCN)and a graph sample and aggregate network(GraphSAGE)is proposed which considers both semantic information and graph structure information of KG.Experimental results show that the performances of the proposed joint entity–relation extraction model and relation completion model are significantly better than those of the baselines.Finally,an industry chain information model is established based on the data of 18 industry chains in the field of basic machinery,which proves the feasibility of the proposed method.

Risk Assessment Index System of Natural Gas Industrial Chain in China

This paper establishes a risk assessment index system for the natural gas industrial chain. China＇s natural gas industrial chain is entering a stage of rapid growth. In order to guarantee healthy development of the natural gas industrial chain, it is urgent to establish a risk alert system, which is based on a risk assessment index system. First of all, the risks of the natural gas industrial chain are defined in the paper; then the risk factors are analyzed according to the present status of the natural gas industrial chain, and five categories of risk factors are summarized： resource risk, transport risk, marketing risk, risk of unbalanced chain links, and environment risk. The paper presents the principles of the risk assessment index system. The natural gas industrial chain risk assessment index system is established with four levels and forty-six risk indices.

CO2 and SO2 emission characteristics of the whole process industry chain of coal processing and utilization in China

The total coal consumption in China is on the rise.The characteristics of CO2 and SO2 emissions in the whole process of coal processing and utilization in China are worthy of study.Based on the five links of the whole process of coal production and utilization,including coal production,raw coal processing,logistics and transportation,conversion and utilization and resource utilization,this paper summarized and analyzed the energy consumption and pollutant emission sources of these five links,combined with the US Environmental Protection Agency’s AP-42 method and IPCC method,to calculate total pollutant discharge and emission factors,where the emission factors were corrected by conversion efficiency.At the same time,uncertainty analysis is performed about CO2 and SO2 emissions.The results showed that CO2 emissions were 3.657 billion tons,and emission reductions were 61 million tons,and SO2 emissions were 4,844,500 tons,and emission reductions were 10.3595 million tons in 2015.

China’s Industrial Upgrading and Value Chain Restructuring Under the New Development Pattern

Global industrial chains(GICs)have become a hallmark of the world economy underpinning the global production cycle.Since the reform and opening up was introduced in 1978,China has taken an active role in global value chains(GVCs)and become the world’s factory floor.Under the external shocks to GICs,such as US trade frictions with China and the COVID-19 pandemic,China’s traditional comparative advantages in manufacturing which include its labor force and costs are waning.This has manifested in a wave of industrial relocations from China to other countries as well as China’s weakening international competitiveness.We took stock of the concepts and journey of GVCs and elaborated the intrinsic relationship between GVCs and the new development pattern of“dual circulations”.We also analyzed the trends of GVCs,the current status and problems of China’s industrial chains,and China’s market heft,complete industrial chains and the digital economy as new strengths for industrial chain upgrade.In our conclusion,this paper put forth some policy recommendations for China’s industrial chain upgrade in the context of dual circulations.

Vertical Price Transmission in the China's Layer Industry Chain:an Application of FDL Approach

This paper examines the vertical price relationship between upstream and downstream products in China＇s layer industry chain by estimating elasticity coefficients of the price transmission. We use cointegration tests, error correction models and finite distributed lag models to analyze vertical price shifts between corn, layer feed, egg-laying chicken and egg prices. With monthly data from 1994 to 2010, our results show that various prices in China＇s layer industry chain are well integrated. In addition, our results indicate that both long-run and short-run price relationships between upstream and downstream products in layer industry chain exist and the long-run equilibrium, to a certain extent, may eliminate the short-run dynamics price deviation. We also found that the influence of corn and feed prices on egg prices is still more remarkable than egg-laying chicken prices. Our findings imply that governments should pay more attention to corn and layer feed prices in order to stabilize egg prices under the conditions of market integration.

Analysis of Information Sharing Mechanism in the Food Industry Green Supply Chain Management and Operation Process

In order to effectively address the issues of environmental pollution and food safety in food industry,the green supply chain management should be used in the food industry.However,information sharing is the basis of supply chain management.For this purpose,on the basis of describing the connotation of food industry green supply chain management,the paper introduces the contents and the effects of information sharing mode in detail.It focuses on the barriers of the implementation of information-sharing mechanisms in the food industry green supply chain management and operation process and analyzes the necessity of using information sharing mechanism among the members of the food industry green supply chain management mode by game theory,so as to strengthen the competitiveness of enterprises through supply chain management.

Evaluation on the Risks of Agricultural Industrial Chain Based on FAHP——A Case of Regions Inhabited by Ethnic Groups in Wuling Mountain

Through recognizing the risking factors of industrial chain and selecting appropriate evaluation method, the index system on evaluating risking factors including market risk, natural risk, contact risk and efficiency risk in industrial chain is constructed,26 weighting indicators under the four layers are set up. Taking regions inhabited by ethnic groups in Wuling Mountain as an example, the risking factors of agricultural industrial chain in the area are analyzed by adopting the FAHP. The influencing degree of each risking factor on credit risks is analyzed. The results assume that with the market risk, contract risk, natural risk and efficiency risk. The natural risks become the principal risks of agricultural industrial chain and it should be paid much attention to. The low credit risk is a major factor that causes the contract between enterprise and rural households. The flood, pests, diseases and disasters also should be paid high attention to that is regarded as risking factors. The risking factors that come from the efficiency risk layer, for example, the unequal profit distribution among enterprises has little effect on enterprises in industrial chain. The research results provide evidence for stipulating risk prevention measures.

The Rural Information-based Construction under the Perspective of Expanding Agricultural Industrial Chain

On the basis of expounding connotation and significance of expansion of agricultural industrial chain, coupled with the connotation of rural informatization connotation, this article analyses the role of rural informatization in expanding agricultural industrial chain: it can enhance market competitiveness of industry chain, improve the operational efficiency of industry chain, and promote the income and quality of farmers in industry chain. Under the perspective of expanding agricultural industrial chain, this article puts forwards thinking about the construction of rural informatization as follows: first, give full play to the leading role of the government; second, strengthen the construction of information-based network facility; third, integrate information resources in rural areas, and improve the quality of information; fourth, build comprehensive information service platform in rural areas; fifth, improve organizational level of production and management of individual farmers; sixth, strengthen the construction of information-based personnel in rural areas; seventh, strengthen publicity and training, promote overall cultural quality and information awareness of farmers.

Does strict environmental regulation enhance the global value chains position of China's industrial sector?

Given the vital importance of global value chains(GVCs)position for a country's international competitiveness,this paper tries to investigate the impacts of environmental regulation on the GVCs position of China's industrial sector.Using the latest value-added decomposition method,we first measure the GVCs position of China's industrial sector from 2003 to 2014.Subsequently,both two-stage least squares(2 SLS)method with panel data and mediating effect model are employed to empirically examine the effects of environmental regulation on China's position in GVCs.The results indicate that environmental regulation has significantly upgraded the GVCs position of China's industrial sector,and the effect is more evident for the sub-sectors with originally lower GVCs position.The mediation effect test shows that increasing R&D investment is an important channel through which environmental regulation affects the GVCs position of China's industrial sector,which verifies the existence of the Porter hypothesis.Further analysis finds that the enhancement of GVCs position of China's industrial sector caused by environmental regulation is mainly achieved through reducing the backward GVCs position.