Perspective Of Industrial Chain Research Articles

Dynamic analysis and application of network structure control in risk conduction in the industrial chain

According to control theory, a dynamical system is controllable if, with a suitable choice of inputs, it can be driven from any initial state to any desired final state within a finite time. Most dynamic characteristics of real networks are nonlinear, so achieving target control is more practical and necessary. The network’s control energy is also a problem that must be considered. Whether and how to control the complex system of the industrial chain has high theoretical and practical significance. In this study, we use the GARCH model, DCC model, and network structure control theory comprehensively to study the price fluctuation risk of the mining stock market from the perspective of the industry chain and network control dynamics and obtain interesting results. (1) Risk conduction among stocks has a prominent industry-driving effect, and the risk conduction ability of upper and middle stocks is stronger. (2) The risk regulation cost, time cost, and node number cost of the whole-industry chain are all higher than those of the two-tier chain, which indicates that the correlation complexity of the network has a positive relationship with risk control. (3) Key risk nodes play an essential role in risk control, so monitoring key stocks from the industrial chain perspective is necessary to control risks in time. This work can provide valuable suggestions for market regulators and policy-makers in terms of risk management and control.

Digital Economy, Employment Structure and Labor Share

The COVID-19 pandemic significantly disrupted employment, making it challenging to increase the labor share. However, the recent expansion of the digital economy has revitalized economic growth and markedly improved productivity. This raises a critical question: can the growth of the digital economy not only boost labor productivity but also increase labor share and reduce income inequality? This paper explores the impact of digital economic development on labor share, examining the underlying mechanisms at play. Our findings suggest that the digital economy has the potential to reshape employment structures, leading to an increase in the labor share. However, the extent of this impact varies across different industries. Furthermore, from an industrial chain perspective, the digital economy has created technology spillover effects that benefit upstream and downstream sectors. In light of these findings, it is crucial to continue fostering the growth of the digital economy to address potential negative impacts on the labor share in the future.

Evolution and sustainability analysis of global tungsten trade pattern from the perspective of industry chain

Tungsten is an irreplaceable primary material and strategic resource for national economic development and modern national defense security. The endowment of tungsten ore resources in various countries is different; we should not only focus on the availability of tungsten ore itself but also the sustainability of its entire process from upstream supply to downstream industry demand. Analyzing the evolution of the supply and demand patterns of tungsten ore trade from the perspective of the industrial chain, identifying the key supply and demand subjects, and exploring the influencing factors of trade has become an important research topic. Therefore, we construct global tungsten trade networks based on the industrial chain, analyze its overall characteristics, explore critical trade supply and demand entities, and identify China’s trade position. We got some meaningful results: (1) The global tungsten trade networks have prominent power-law distribution characteristics. The trend of trade globalization is evident, but the dominance is still in the hands of a few developed countries or developing countries with developed manufacturing industries. (2) In different parts of the tungsten industry chain, the impact of resource endowment, industrial technology level, and geographical location on the country’s trade role is different. (3) China’s position in the global tungsten resource industry chain and value chain is constantly improving, but there is still a risk of high-end technology being “stuck.” This provides some suggestions for the systematic understanding of the evolution of the trade pattern of the tungsten industry chain and how countries occupy a dominant position in the game of tungsten resources.

Dynamic evolution and influencing factors of internal and external synergy in China's energy industry: From the perspective of industrial chain

The distortion of factors between the upstream and downstream of the energy industry, as well as the lack of collaborative models between it and the energy equipment manufacturing industry, impede the smooth achievement of the "dual-carbon" goal, and industrial synergy can better solve this problem. From the perspective of the industrial chain, this study measures for the first time the level of internal and external synergies in the energy industry based on industrial data from 30 provinces in China from 2013-2022, and analyzes in depth the dynamic evolution of internal and external synergies in the energy industry and the factors influencing them. Using ArcMap 10.2 and the variance decomposition model, it is found that the upstream and downstream sectors of the energy industry have non-equilibrium in time and space, and their factor mismatch in resource-based regions is still more serious. Therefore, a state of synergy needs to be created between upstream and downstream sectors, between the energy industry and the energy equipment manufacturing industry. Using each of the status quo maps as well as the Kernel model, it was concluded that external synergies decrease and then increase, with a gradual decrease in the gap between regions. However, internal synergies show an upward and then downward trend. Meanwhile, the results of the GTWR model show that the effects of various influences on internal and external synergies are not only positively or negatively different, but also spatially more unbalanced. It should accelerate the promotion of policy guidance, actively cultivate the external environment, rationalize the layout of regional industries, and promote the synergistic development of the energy industry internally and externally.

Life cycle assessment of ammonia co-firing power plants: A comprehensive review and analysis from a whole industrial chain perspective

Ammonia, a reliable low-carbon alternative fuel with energy storage capabilities, has garnered increasing attention for its application of co-firing in coal-fired power plants as a strategy to mitigate direct carbon emissions. However, various types of ammonia production technologies result in diverse economic feasibility and emission intensities. Simultaneously, each stage, spanning from upstream processes such as raw material extraction to downstream applications, contributes to carbon emissions, which cannot be ignored. It is crucial to select the appropriate assessment method to determine the transformation pathways for co-firing systems. To this end, this review presents a comprehensive life cycle assessment of ammonia co-firing systems from a whole industrial chain perspective, encompassing the entire gamut of processes from fuel production and transportation to co-firing. Studies of the industrial chain perspective and of life cycle assessment methodology that are uniquely tailored for co-firing systems are presented. A nuanced exploration of distinct technologies across the spectrum of system processes ensues, including the advantages, limitations, and trends in advancement, based on carbon emissions and economic criteria. Considering the diverse fuel production, especially ammonia, typologies and intricate processes have undergone comprehensive review. The combustion characteristics, emissions, and economic factors associated with the co-firing process are systematically summarized, drawing upon aspects such as dynamics, experiments, simulations, and demonstration projects. This study illuminates the progression and technology selection of co-firing systems across multiple stages of the whole industry chain, thereby furnishing insights relevant to the low-carbon transformation of ammonia co-firing with coal in power plants.

Evolution of New Energy Minerals Trade Pattern and Analysis of China’s Status Evolution

Copper, cobalt, nickel as the key raw materials for the new energy automobile industry, the supply and demand of resources and international trade are largely affected by the world economy and political pattern, and the risks and vulnerabilities of the resource industry chain are highlighted. Using the method of complex network to analyze the trade network of three kinds of mineral resources from the perspective of industrial chain, the following conclusions are drawn: (1) the global trade network of three kinds of new energy minerals in the whole industrial chain all presents the characteristics of complexity and connection enhancement, and has the characteristics of the network of the small world; (2) China has become an important hub in the global trade network of copper, cobalt, and nickel, and has a stronger ability to control the trade of other countries.

Structure and evolution of global lead trade network: An industrial chain perspective

Lead resources are pivotal to national economic development and necessitate an examination of evolving global trade patterns to comprehend supply-demand dynamics and ensure supply chain stability. This study utilizes industrial chain perspectives and network analysis methods to establish global trade networks for lead ore, refined lead, and lead products, depicting their evolution and exploring the topology of the global lead trade network. The findings highlight consistent development in the global lead trade market since 2000, with robust growth in lead ore and refined lead trade, while trade in lead products has remained stable. The global lead trade network has undergone restructuring, revealing structural disparities among lead commodities that heighten diversity and complexity. A discernible trend toward densification is displayed, underscored by the agglomeration effect, reflecting enhancements in network connectivity, accessibility, and transmission efficiency. Conspicuous core-periphery structures exist, with a growing polarization effect in the lead ore trade network and balanced development in the refined lead and lead products trade network. Different countries play distinct roles, with the USA, China, Germany, the Netherlands, the UK, Belgium, and Italy consistently wielding significant control within the global lead trade network. The paper proposes policy implications for international trade cooperation and lead resource supply security based on these findings.

Progress and frontiers of critical mineral resource availability research based on the perspective of industrial chain

Progress and frontiers of critical mineral resource availability research based on the perspective of industrial chain

Analysis of the Value of Digital Collectibles of Traditional Cultural Intellectual Properties from the Perspective of Industrial Chain

As an important carrier and blue ocean field of current digital content products, digital collectibles have developed rapidly since 2021. Their role in protecting digital copyrights and the advantages in inheriting and disseminating traditional intangible cultural heritage have made them a cutting-edge direction in the research of cultural digitization. The research on digital collectibles in China mainly focuses on the value generation logic of digital collectibles, copyright protection issues, policy regulations, the role of digital collectibles in the protection and inheritance of intangible cultural heritage, and the development strategies of specific industrial digital collectibles. Against the backdrop of the development of the cultural industry and the pan-entertainment industry, the operation of traditional cultural intellectual properties (IP) has become a hot topic in current academia. Traditional cultural IP possesses relevant cultural creative resources, collective emotional resonance, and intellectual property resources, which give it unique advantages in the distribution of digital collectibles. At the same time, digital collectibles can also provide new ideas for the operation of traditional cultural IP, promote its further digital development, and facilitate the creation of digital cultural works that blend with the current era by utilizing relevant resources, enriching the contemporary connotation of traditional cultural IP. This study takes a comprehensive perspective of the industrial chain and aims to clarify the intrinsic connection between digital collectibles and the operation and development of traditional cultural IP, and to determine the specific value of digital collectibles in the development of traditional cultural IP. It is expected to provide new perspectives and directions for the research on the relationship between digital collectibles development and traditional cultural IP, and further promote the development of traditional cultural IP through the use of digital collectibles.

Scenario analysis on carbon peaking pathways for China's aluminum casting industry

To support high-quality carbon peaking, a scenario analysis of carbon peaking pathways according to an industrial chain perspective considering both material and part production needs exploring. As a critical segment in the aluminum industrial chain, aluminum casting industry was focused on in this paper. A bottom-up scenario analysis approach was proposed for the carbon emission simulation of China's aluminum casting industry, including: (1) a carbon emission assessment model based on material flow analysis and life-cycle assessment, (2) key influence factor selection and variation scenario prediction, (3) static and dynamic scenario analysis, and (4) driving factor decomposition analysis. Key findings are as follows: (1) China's aluminum casting industry accounted for about 1.1% of the national carbon emissions in 2020; (2) the production stage accounted for around 15% of the total carbon emissions of China's aluminum casting industry in 2020; (3) carbon peaking probabilities before 2030 for the static and dynamic scenario analysis are around 60% and 35%, respectively; and (4) the carbon peaking result differences in whether considering the production stage are about 20% for the static simulation and average 40% for the dynamic simulation. These findings effectively support the formulation of a high-quality carbon peaking pathway.

The impact of government subsidies on R&D investment of listed companies in China's new energy vehicle industry-based on the perspective of industrial chain

ABSTRACT Over the past decade, Chinese government has invested large amounts of government subsidies to support the development of new energy vehicle (NEV) industry. Whether the government subsidy has achieved the expected effect and how to further adjust the subsidy policy to better promote the development of the NEV industry have received wide attention. This paper considers the characteristics of technological innovation and financing constraints of enterprises at different position of the NEV industry chain, and empirically test the incentive effect of government subsidies on R&D investment from the perspective of the industry chain. The research findings show that government subsidies promote the R&D investment of all enterprises in the NEV industry chain, however, the promotion effect on upstream and midstream enterprises is more significant. With the reduction of consumption subsidies, the promotion effect of government subsidies on the R&D investment of listed companies in the NEV industry has been strengthened. Further research finds that government subsidies promote R&D investment by alleviating the financing constraints of upstream and midstream enterprises. There is an industry chain synergy effect in the technological innovation of new energy vehicle enterprises, and government subsidies can promote this synergistic effect from upstream to downstream.

Securing the supply of clean energy metals to achieve carbon reduction: a review

Climate change is a major threat to the world. The cause for this global challenge is directly linked to greenhouse gas (GHG) emissions. In order to mitigate climate change, major policies such as reducing GHG emissions are required. Many countries have proposed carbon emission reduction targets at the national strategic level. A crucial issue in achieving the target is low-carbon energy transition, which requires a large amount of clean energy metals as supporting materials. This paper summarizes the latest research results of existing literature on the supply of clean energy metals in achieving the goal of carbon reduction, including the definitions, demand changes, supply capacity assessment, supply risk evolution, supply guarantee and policy system, etc . We point out that further research should be conducted in the following three directions in the future: firstly, strengthen research on the impact of trade and geopolitics on the supply of clean energy metals; secondly, further evaluate the effectiveness of minerals security policies in various countries; finally, broaden the analysis of the clean energy metals supply to encompass the entire industrial chain perspective.

The impact of government subsidies on technological innovation of new energy vehicle enterprises: from the perspective of industry chain

The impact of government subsidies on technological innovation of new energy vehicle enterprises: from the perspective of industry chain

How does the global metal industry value network affect industrial structure upgrading ? The perspective of industry chain

The global metal industry value network (GMIVN) can reveal the status of an economy in the global metal industry chain and value chain, while the traditional metal trade networks cannot deeply reflect the global metal industry pattern and the competitive capacity of an economy's metal industry. Moreover, the GMIVN also performs an irreplaceable role in the process of the industrial structure upgrading. This paper uses network analysis and panel regression to investigate the characteristics of the GMIVN and its influence on the upgrading of industrial structure in the ways of the industry chain. The main findings are as follows: (1) The GMIVN has always been compacting shows “small world” characteristics. The network structure features of the value network of the middle and lower industry are highly consistent with those of GMIVN. (2) The distribution pattern of the core economies in the value network of the global metal industry is stable and concentrated. The U.S., Germany, China, and the U.K. exert significant impact in all links of the global metal industry chain and value chain. However, major metal resource exporters are at a lower position in the global value network of the metal industry and exert limited influence. (3) The higher the central and independent status of an economy in global metal trade or the more high-influence trading partners it has, the more advanced its industrial structure will be. Furthermore, the centrality of the value network of the middle and lower industry exerts a larger influence on the upgrading of industrial structure than that of the value network of the upper industry.

The effect of industrial synergy and division on energy intensity: From the perspective of industrial chain

The essence of industrial chain structure optimization is to strengthen the synergy and division ability among sectors. It is a crucial factor in reducing energy intensity and achieving carbon neutrality goals. This paper completed the China's non-competitive input-output table from 2000 to 2020, constructed industrial synergy and division index using structural path analysis method and examined its development trend. Combining with a two-way fixed effects model, we explored the influence of industrial synergy and division on energy intensity. The research found that China's industrial synergy and division development level shows an upward trend. The proportion of the low-layer industrial chain decreases, and the peak contribution rate moves to the high-layer industrial chain. Secondly, industrial synergy and division significantly reduces sectoral energy intensity, the results are robust after endogeneity test. Finally, heterogeneity analysis showed that industrial synergy and division can reduce the energy consumption intensity of all sectors, and it is more obvious for sectors with high energy dependence. This research can provide targeted policy suggestions for China to optimize its industrial structure. It also has a reference significance for other countries.

The impact of renewable energy consumption on lithium trade patterns: An industrial chain perspective

Drawing on international panel data from 2000 to 2019, we examine the structural characteristics of the global lithium trade network and investigate the impact of renewable energy consumption on lithium trade patterns from an industrial chain perspective. The findings indicate that different countries play different roles and hold different central positions in the international lithium network. Compared to lithium raw materials, the trade network in lithium products has stronger connectivity and constitutes the bulk of the lithium trade. Regression results reveal that renewable energy consumption significantly affects lithium trade patterns. For lithium raw materials, renewable energy consumption can increase the weighted degree. For lithium products, renewable energy consumption significantly and positively affects the degree centrality and weighted degree. In addition, the effects vary across countries with different income levels. Renewable energy consumption has a greater positive impact on degree centrality in low- and middle-income economies than in high-income economies.

The impact of geopolitical relations on the evolution of cobalt trade network from the perspective of industrial chain

The turbulent international situation in recent years has aroused a profound impact on global cobalt trade, so it is necessary to investigate the influence of geopolitical relations on cobalt trade. This study divides the geopolitical network into cooperation network and conflict network. Besides, the evolution of global cobalt trade network is studied from the perspective of the whole industry chain. Furthermore, the impact of geopolitical relations on the evolution of cobalt trade network is studied based on QAP method and ERGM. The results show that (1) The scale of geopolitical cooperation network is larger than that of conflict network, while more and more countries have participated in the global geopolitical conflict in recent years; (2) The cooperation network has significant positive impact only on the evolution of midstream and downstream, and the conflict network has the opposite impact on them, indicating that geopolitical cooperation will promote the formation of new trade relations; (3) The influence on the evolution of cobalt trade network increases first and then decreases over time. This paper suggests that countries should pay special attention to geopolitical cooperation and establish more cooperation with countries with high political stability.

Supply risk propagation of global copper industry chain based on multi-layer complex network

Copper is an essential strategic mineral resource. The copper industry chain starts with the extraction of raw materials, after processing, and finally sells the final product. The uniqueness of copper and the distribution characteristics of geographical space make the relationship between copper trade and supply more complicated. The imbalance between supply and demand can easily lead to resource supply security problems. The supply shortage will affect the stable development of the industrial chain. Based on the industrial chain perspective, this study calculates the national competitiveness index at different stages and analyzes the degree of competition among different countries. The study constructs a copper multi-layer network risk propagation model (CMNRP) to simulate the impact and propagation path of supply shocks in Peru, Chile, China, and the USA on the entire industry chain. The study found that: (1) The competitiveness of countries trading along the industrial chain has gradually increased. (2) As the supply shock intensifies, the impact of the crisis gradually shifts downstream, and the number of affected countries gradually increases. (3) Peru, China, and the USA are essential nodes for risk propagation in the copper industry chain. The critical factor in ensuring the stability of the industrial chain is the stable supply of raw materials. (4) Indirect infection occupies a large proportion in different stages of the industrial chain. Influenced countries and indirect influences in the middle and lower reaches of the industrial chain are higher than those upstream. Research can provide multi-dimensional policy recommendations for China to respond to extreme disturbances, build a more resilient trade system, and improve the resilience of trade networks.

Evolution of carbon emissions in China's digital economy: An empirical analysis from an entire industry chain perspective

Accompanied by the increasing scale of the digital economy, the evolution of carbon emission analyses is becoming increasingly prominent. In this study, we constructed a digital economy input-output model and proposed a carbon emissions measurement framework from an industrial chain perspective. Based on this, we empirically calculated and analyzed the carbon emissions of China's digital economy and its evolution from 2007 to 2017. Moreover, we explored the driving factors of the evolution through a multi-layer nested SDA method. The results reveal that the (1) embodied carbon emissions of the digital economy are more significant than its direct carbon emissions, mainly due to intermediate inputs from non-digital sectors; (2) carbon emissions of China's digital economy are driven by export and investment, primarily gathering in the energy-intensive sectors of the upstream industrial chain and digital-intensive sectors of the downstream industry chain; and (3) expanding demand has led to an increase in carbon emissions from the digital economy while energy use and production processes are the leading drivers for the decrease in embodied carbon. Moreover, the role of demand expansion and energy use has weakened while the role of production processes has increased. This study offers scientific guidance for regulating the development of the digital economy and scientific carbon reduction.

Resilience assessment of international cobalt trade network

As an important strategic mineral resource, the scarcity and uneven distribution of cobalt resources, as well as the deepening trend of energy structure shift to clean type, will further promote the flow of cobalt resources on a global scale. This paper therefore takes an industrial chain perspective and integrates the upstream and downstream products of cobalt ore to carve out a directional weighted network of four types of cobalt ore trade, proposes an evolutionary model to assess the static structural resilience evolution of the network, and uses disruption simulation to measure network resilience when subjected to shocks and to identify dominant nodes. The results show from 2002 to 2020 that the resilience of the cobalt ore and cobalt scrap network evolves negatively, while the cobalt oxide and cobalt products network evolves positively. When subjected to external shocks, the cobalt ore and cobalt scrap network is less resilient and more vulnerable to disruptions, with the main countries impacted being the U.S., Germany, the UK, China, and India. Finally, policy recommendations are offered to show the significance of safeguarding the stability of global cobalt ore trade.