Development Level and Dynamic Analysis of the Integration of Three Rural Industries in the Context of Rural Revitalization

As a key measure to comprehensively promote the strategy of rural revitalization,especially in the field of industrial prosperity,the integration of rural three industries is of great strategic significance.In this study,entropy method and TOPSIS method were employed to calculate the comprehensive evaluation index of integration of three industries and the ideal development value respectively.The development status of integration of three rural industries was systematically evaluated,and the development trend of different regions was compared and analyzed.The results indicate that the development index of integration of three industries showed a steady growth trend,among which the development level of Jiangsu Province ranked first,followed by Hubei Province,while the development level of Shaanxi Province was relatively low.When analyzing the Level I indicators of integration of three rural industries,the contribution of industrial integration behavior exceeded the performance of industrial integration.Among the behavioral indicators of industrial integration,the weight of agricultural multi-functionality and service integration was relatively large,which plays a significant role in promoting the development of integration of three rural industries.The scores and growth rates of Jiangsu Province in increasing farmers income,increasing agricultural production and rural economic development were higher than those of other regions,while Shaanxi Province still had a certain gap in rural industrial integration indicators compared with Jiangsu Province and Hubei Province.In view of this,we came up with some strategic recommendations for further promoting the development of integration of three rural industries.

Science and Technology Promotion Policies of Strategic Emerging Industries in Anhui Province

In recent years,based on advantages of industry,market,science and technology and other development environment,strategic emerging industries in Anhui Province are developing rapidly,and emerging industries such as new energy,new materials,new generation of information technology occupy an important market share in China and even the world.However,there are still a number of problems in the process of development,and the policy support has a greater impact.In this paper,the development status of strategic emerging industries in Anhui Province was discussed firstly,and then the challenges and problems of the development was discussed.Finally,some science and technology promotion policies of strategic emerging industries in Anhui Province were proposed.

Evolution of Handicraft Industries in the Textile Sector in Saudi Arabia: A Comprehensive Analysis of Trends and Innovations

This review explores the evolution of the textile handicraft industry in Saudi Arabia, emphasizing its cultural and economic significance. The study highlights the transition from traditional practices to modern innovations and examines the impact of globalization and technological advancements on the industry. Key innovations are discussed, demonstrating their role in enhancing textile production while preserving cultural heritage. Major challenges, such as competition from industrial textiles and the need for sustainable practices, are identified. Opportunities for growth are explored, including leveraging tourism and international markets to promote Saudi handicrafts. The social and cultural impacts of the sector are underscored, particularly in sustaining community traditions and providing economic opportunities for artisans. Strategic recommendations for supporting and advancing the industry are offered, ensuring its continued relevance and sustainability in a rapidly changing global market. This analysis provides a robust framework for understanding the current state and future potential of Saudi Arabia’s textile handicraft industry.

Digitalization Enables Cultural,Commercial and Tourism Industries to Explore the Global Market

The recent 2024 National Tour ism Development Conference has clearly pointed out that China’s tourism industry has grown into the world’s largest domestic tourism market and has become an important destination in the international tourism sector,marking the rise of the tourism industry as a strategic pillar industry for the country.

Steps Toward Industry 5.0:Building“6S”Parallel Industries With Cyber-Physical-Social Intelligence

Very recently,intensive discussions and studies on Industry 5.0 have sprung up and caused the attention of researchers,entrepreneurs,and policymakers from various sectors around the world.However,there is no consensus on why and what is Industry 5.0 yet.In this paper,we define Industry 5.0from its philosophical and historical origin and evolution,emphasize its new thinking on virtual-real duality and human-machine interaction,and introduce its new theory and technology based on parallel intelligence(PI),artificial societies,computational experiments,and parallel execution(the ACP method),and cyber-physical-social systems(CPSS).Case studies and applications of Industry 5.0 over the last decade have been briefly summarized and analyzed with suggestions for its future development.We believe that Industry 5.0 of virtual-real interactive parallel industries has great potentials and is critical for building smart societies.Steps are outlined to ensure a roadmap that would lead to a smooth transition from CPS-based Industry 4.0 to CPSS-based Industry 5.0 for a better world which is Safe in physical spaces,S ecure in cyberspaces,Sustainable in ecology,Sensitive in individual privacy and rights,Service for all,and Smartness of all.

Use of Component Integration Services in Multidatabase Systems: A Feasible Solution for Integrating Academic Institutions or Commercial Industries

The book chapter is an extended version of the research paper entitled “Use of Component Integration Services in Multidatabase Systems”, which is presented and published by the 13th ISITA, the National Conference of Recent Trends in Mathematical and Computer Sciences, T.M.B. University, Bhagalpur, India, January 3-4, 2015. Information is widely distributed across many remote, distributed, and autonomous databases (local component databases) in heterogeneous formats. The integration of heterogeneous remote databases is a difficult task, and it has already been addressed by several projects to certain extents. In this chapter, we have discussed how to integrate heterogeneous distributed local relational databases because of their simplicity, excellent security, performance, power, flexibility, data independence, support for new hardware technologies, and spread across the globe. We have also discussed how to constitute a global conceptual schema in the multidatabase system using Sybase Adaptive Server Enterprise’s Component Integration Services (CIS) and OmniConnect. This is feasible for higher education institutions and commercial industries as well. Considering the higher educational institutions, the CIS will improve IT integration for educational institutions with their subsidiaries or with other institutions within the country and abroad in terms of educational management, teaching, learning, and research, including promoting international students’ academic integration, collaboration, and governance. This will prove an innovative strategy to support the modernization and large expansion of academic institutions. This will be considered IT-institutional alignment within a higher education context. This will also support achieving one of the sustainable development goals set by the United Nations: “Goal 4: ensure inclusive and quality education for all and promote lifelong learning”. However, the process of IT integration into higher educational institutions must be thoroughly evaluated, identifying the vital data access points. In this chapter, Section 1 provides an introduction, including the evolution of various database systems, data models, and the emergence of multidatabase systems and their importance. Section 2 discusses component integration services (CIS), OmniConnect and considering heterogeneous relational distributed local databases from the perspective of academics, Section 3 discusses the Sybase Adaptive Server Enterprise (ASE), Section 4 discusses the role of component integration services and OmniConnect of Sybase ASE under the Multidatabase System, Section 5 shows the database architectural framework, Section 6 provides an implementation overview of the global conceptual schema in the multidatabase system, Section 7 discusses query processing in the CIS, and finally, Section 8 concludes the chapter. The chapter will help our students a lot, as we have discussed well the evolution of databases and data models and the emergence of multidatabases. Since some additional useful information is cited, the source of information for each citation is properly mentioned in the references column.

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.

Analysis on Technical Structure and Competitiveness of ICT Manufacturing Industries

In order to analyze the technical structure and international comparative advantage of the information and communication technology(ICT)manufacturing industry,a complete set of ICT manufacturing product categories has been constructed by matching National Economical Industry Classification(GB/T4754-2017)with Harmonized System(HS)Codes,based on the relevant definitions in International Standard Industrial Classification(ISIC).The proposed definition overcomes inherent defects such as inaccurate scopes,lagging data and rough categories,which are characterized by commonly utilized product-level based classification approaches.Within the given framework,this paper has designed the technology content related indicators from the perspective of production distribution,and divided ICT product categories into high-end,medium-end and lowend manufacturing classifications according to respective global shares.Then,we have calculated international market shares(IMS),revealed comparative advantages(RCA),and market penetration rates(MPR)of ICT manufacturing exports for major economies from 2010 to 2021.Finally,development characterizations of ICT manufacturing industries for China’s Mainland are analyzed,and several practical suggestions are provided.

Arithmetic Optimization with Deep Learning Enabled Churn Prediction Model for Telecommunication Industries

Customer retention is one of the challenging issues in different business sectors,and variousfirms utilize customer churn prediction(CCP)process to retain existing customers.Because of the direct impact on the company revenues,particularly in the telecommunication sector,firms are needed to design effective CCP models.The recent advances in machine learning(ML)and deep learning(DL)models enable researchers to introduce accurate CCP models in the telecom-munication sector.CCP can be considered as a classification problem,which aims to classify the customer into churners and non-churners.With this motivation,this article focuses on designing an arithmetic optimization algorithm(AOA)with stacked bidirectional long short-term memory(SBLSTM)model for CCP.The proposed AOA-SBLSTM model intends to proficiently forecast the occurrence of CC in the telecommunication industry.Initially,the AOA-SBLSTM model per-forms pre-processing to transform the original data into a useful format.Besides,the SBLSTM model is employed to categorize data into churners and non-chur-ners.To improve the CCP outcomes of the SBLSTM model,an optimal hyper-parameter tuning process using AOA is developed.A widespread simulation analysis of the AOA-SBLSTM model is tested using a benchmark dataset with 3333 samples and 21 features.The experimental outcomes reported the promising performance of the AOA-SBLSTM model over the recent approaches.

Government Role in Fostering Emerging Technological Industries:A New Perspective for Industrial Policy Research

Mainstream industrial policy research cannot fully explain how government interventions have helped China’s mobile communications industry catch up with and overtake those of advanced nations.China’s mobile communications industry made breakthroughs in 3G,caught up with advanced nations in 4G,and gained a leadership position in 5G due to the implementation and improvement of a strategy of industrial competition that accommodates mainstream standards and prioritizes the mid-band spectrum based on the integrated“technology,standard and industry”deployment system and swift decision-making.The introduction of a perspective of a strategy of industrial competition may supplement industrial policy research in the following ways:First,when the concerted actions of numerous innovators are important for industrial competition performance,an effective strategy of industrial competition can be devised and overall coordinated by the government provided that is compatible with the catch-up development of emerging technological industries.Second,an industrial policy becomes effective when it is complementary with the strategic factors for long-term industrial performance such as the strategy of industrial competition and avoids serious disruptions to market-based mechanisms.

Carbon emission efficiency of forest processing industries in China

This paper uses an input-output table of China's provinces(2007-2016) to measure carbon emissions of these industries.It employs a Malmquist-Luenberger(ML) index with expected and undesired outputs,and an absolute β convergence and a conditional β convergence model,to conduct an in-depth analysis of dynamic changes and spatial convergence.Carbon emission efficiency of forest processing industries in 25 regions,including Shanghai,Chongqing,Zhejiang,and Jiangsu are increasing,whereas those of Tianjin,Liaoning,Heilongjiang,and Tibet are decreasing.The main contributing factors of carbon emission efficiency in three major regions vary over time.Further,carbon emission efficiency in the eastern,central,and western regions all have absolute β convergence and conditional β convergence,indicating that different regions are developing toward their own goals and industry,yet regions with lower efficiency are catching up with those where with more efficient strategies in place.Finally,this paper proposes according recommendations.

Creative Industries Agglomeration,Regional Innovation and Productivity Growth in China

This paper falls into the broad area of economic geography and economics of creativity,and it presents an alternative approach to explain why total factor productivity(TFP)growth is different across China′s regions.It establishes an empirical model to estimate the spatial agglomeration effects of creative industries on regional TFP growth,using China′s provincial panel data during the period of 2003 to 2010.We found that the creative industries agglomeration(CIA)has significant and positive impact on regional TFP growth.The result also implies that the CIA can facilitate regional TFP growth through promoting regional innovation instead of improving regional efficiency.Therefore,we argue that policy makers should take some measures to retain and establish more creative zones.

Empirical Analysis of Chinese Industries＇ International Competitiveness after China＇s WTO Entry

Based on recent statistical data, this paper presents an empirical analysis on the current status and evolution of international competitiveness of Chinese industries after China＇s accession a decade ago into the World Trade Organization （WTO）. Our findings conclude that international competiveness of Chinese industries has increased during the decade. Although comparative advantage of traditional labor-intensive industries is on the decline and that of technology- and capital-intensive industries is on the rise, labor-intensive industries remain the most advantageous. Competitive advantages of labor-, technology- and capital-intensive industries have all improved. Growing competitive advantage of Chinese manufacturing is a major force behind the international competiveness of Chinese industries, and traditional labor-intensive industries maintain strong international eompetiveness. Meanwhile, rapid developments of some technology- and capital-intensive industries have strengthened the international eompetiveness of Chinese industries. China is now on the eve of a second round of rapid improvement in its industrial international competitiveness. In the short- and medium-term, acquiring ＂market economy status＂ in 2016 will further release advantages of Chinese industries. Further over the next two decades, China will usher in a new era of strategic opportunities which will serve as an additional source of sustainable improvement in its industrial international competiveness.

Selection of leading industries for coal resource cities based on coupling coordination of industry's technological innovation

Taking the city of Qitaihe is as an example in order to provide practical methods for the selection of leading industries for coal resource cities, this paper establishes the specific operation scheme for selection of leading industries according to the actual situation of coal resource cities based on the theory of coupling coordination together with the coupling coordination for technological innovation. The results show that the degree for coupling coordination of the technological innovation for each alternative industry differentiates with the development of coal resource cities. For example, the average degree of food processing industry from agricultural produce is 0.9. Therefore, coal resource cities should develop some industries related to coal industry, such as coking industry, some chemical and medicines industry and non-metallic mineral products manufacturing, in the near future, however, some industries with greater market and influence potentials and low carbon emissions should be attached much importance to in the future.

Has EU ETS caused carbon leakage in the EU carbon-intensive industries?A study from the perspective of bilateral trade

Reducing carbon leakage is one of the important reasons that was put forward by the EU for their border adjustment tax proposal.However,there are not many empirical evidences supporting significant carbon leakage in the EU carbonintensive industries.This paper applied the structural breakpoint test for the time series of import and export of cement,aluminum,and steel between EU and China.No significant structural changes were detected in the import and export of cement and aluminum.However,there proved to be two breakpoints,i.e.,2003 and 2008,in the import and export of steel,in which at the second point the overall level of steel import increased.Furthermore,Granger causality test was applied to the carbon price from European Climate Exchange and the import and export of steel.It was found that the carbon price was the Granger cause for the changes of steel import,but not the Granger cause for the export.The results of the study showed that the impacts of EU ETS on the EU carbon-intensive industries were limited.Among the three industries,partial evidence of carbon leakage was only found in the steel industry.Therefore,reducing carbon leakage could not serve as a convincing justification for border adjustment tax.

The role of cultural and creative industries in optimizing industrial structure under low-carbon emission constraint

In the post-financial crisis era,China is facing dual pressure from reducing carbon emissions and external demand stagnation.The industrial structure changing is in urgent needs.The cultural and creative industries can expand China's markets through creating and stimulating demands,and can reduce carbon emissions at the same time.By producing both demands and supplies,cultural and creative industries may lead the development of other industries.Since innovation plays a quite important role in the value chain,cultural and creative industries can promote the industrial upgrading and the industrial structure optimization by industrial convergence.

Geographical Agglomeration of Chinese Manufacturing Industries

Based on the plant level data from the First National Census of Basic Units, the Second National Census of Basic Units, and the First National Economic Census of China, this paper ex- amines the geographical agglomeration of Chinese manufacturing industries at a more disaggregated level both by industrial classi-fication and spatial unit analysis. Applying the agglomeration index proposed by Maurel and Sedillot, studies show that the most agglomerated industries are resource-intensive, and capital and technology intensive while industries demanding localized inputs or serving localized markets or favored by local governments are fairly dispersed. The more disaggregated industries are more spa- tially agglomerated. At the finer spatial scale, industries are more dispersed. Results indicate that within-county spillovers are stronger than nearby-county spillovers, and within-prefecture spillovers are stronger than nearby prefecture spillovers. Local- ized spillovers are still quite substantial at a range beyond that of counties. Comparing the agglomeration index of Chinese manu- facturing industries in 1996, 2001 and 2004, agglomeration seems to be a general tendency. Results also indicate that some industries have experienced remarkable changes in their levels of agglom- eration in the period 1996–2004.

Expansion of Technical Innovation and Demand Determines Production Organization Pattern in Strategic Emerging Industries——Taking Example of TFT-LCD Industry

Taking the evolution process of TFT-LCD industry as an example,this paper applied history-friendly model to analyze the effect of technology innovation and learning,and market demand growth and fluctuation on the evolution of production organization pattern in strategic emerging industries.Our research indicates that:(1) when market demand maintains linear growth,continuous technology innovation capabilities of vertically integrated enterprises in leading position of an industry are the key factor in deciding whether dominant production organization pattern will shift from vertical integration to specialization;(2) when market demand is in cyclical fluctuation,the technology learning capabilities of specialized enterprises in catch-up position are the key factor in deciding whether dominant production organization pattern will shift from vertical integration to specialization;(3) when market demand growth is under cyclical fluctuation,if the relative gap between technology innovation capabilities of vertically integrated enterprises and technology learning capabilities of specialized enterprises remains constant,the phase when industry cycle moves from trough to plateau is the best time window for specialized enterprises to catch up with and overtake vertically integrated enterprises.Hence,policy design supporting the development of strategic emerging industries should give full consideration to factors like market demand environment and technology innovation and learning capabilities of domestic enterprises.

Sustainable Development and Spatial Distribution of Industries

At the cost of overdrawing from the environment, spatial distribution of industries takes promoting the economic growth as goal and makes the overload of industries coexist with the unreasonable arrangement in some areas, which is unable to satisfy the demand of sustainable development. To change the present development model, the spatial distribution of industries must coordinate with the environmental bearing capacity. The present practice we take to change resources distribution to meet the existing arrangement of industries will bring incredible calamitous consequence to the development in the future. To make industry’s arrangement coordinate with ecological environment, and to adopt the method similar to “arranging along the rivers” should become the guidelines of spatial distribution of industries.

Historical Development in the Automotive Industries of Argentina and Turkey

It is possible to say that the automotive industries of Argentina,Brazil,and Turkey are each developed as an assembly industry and show great similarities to each other in this context.Since the 1980s,the development direction of the world automotive industry has been trying to make the country’s investment environment attractive for foreign international companies to produce in their countries in all three countries.However,with the 1980s,their adaptation to the flexible production system and other new technologies being implemented in the Japanese automotive industry took time,meaning that the learning time took a long time,and local contribution rates fell.This has made the slow development mechanism that has been going on since the past work even slower,and they have suffered the punishment for not being able to develop technologies in all three countries by falling behind in the automotive industry.In the 2000s,with technological advances in electric vehicles,when the use of electric vehicles began to become widespread,we can say that all three countries began to experience a new adaptation problem in the automotive industry more severely.In Turkey,this problem was experienced with all its weight along with the other country;in 2006,the policy of attracting foreign investment to the automotive industry was partially abandoned and the approach to producing domestic cars began to be considered,and in 2011,a decision was made to produce domestic cars.As of December 2019,a prototype of the domestic car has been produced by the automobile initiative group of Turkey and work has started for mass production.Thus,the problem of adaptation to the production of electric vehicles was desired to be overcome by moving to a new stage in the path of technology development.The South Korean automotive industry used this approach in the 1980s and was successful and soon gained the ability to develop technology.In order to see the success of the application of this method in Turkey,it is thought that it is necessary to wait for the result of the domestic car project.