“Algorithmic Capitalism” refers to a contemporary form of capitalism with intelligent algorithms at its central control, representing the iterative upgrade of digital capitalism under the new technological revolution. Unlike previous forms of capitalism, algorithmic capitalism follows the logic of intelligence, featuring new characteristics of trans-regional, full-process, automation, and implicit dominance. From the perspective of core structure, algorithmic capitalism follows a four-element structure of “algorithm-platform-data-capital”, where algorithms serve as the “efficient” element, platforms as the “formal” element, data as the “material” element, and capital as the “final” element. Algorithmic capitalism has the dual significance of progress and limitation, bringing more mobility and social change while also triggering serious negative ethical effects. Research on algorithmic capitalism holds significant theoretical and practical value in the current context.
In the 1980s, the Chinese industrial civilization was moving towards the grand goal of “Four Modernizations”, the world's growing environmental movement is also increasingly embedded in the public life of open Chinese society. Under the dual influence of the achievements of industrial civilization and the idea of ecological civilization, how can China's development catch up with the developed countries while avoiding the setbacks and lessons it experiences? The response to this question not only constituted the vision of China's modernization at that time, but also presented its characteristics of technological development and transformation. The case of Beijing Brewery introducing foreign advanced technology discussed in this paper is a microcosm of the above-mentioned historical changes. This study attempts to interpret and analyze the case, so that people in today's complex situation under the technological changes to bring inspiration and lessons.
In the era of interdisciplinarity, interdisciplinary research is constantly emerging. However, the underlying mechanism of the interaction between disciplines has not yet been fully investigated yet. Nowadays, not only the number of interdisciplinary research published in multidisciplinary journals grows up, but also the disciplinary diversity of authors’ affiliations and the knowledge base of articles published in journals in a specific field increases, which means the phenomenon of interdisciplinary publishing becomes increasingly prevalent. Under this context, this study constructs a classification framework of interdisciplinary publication patterns based on the organizational and cognitive perspectives. Articles published in Scientometrics, a professional journal in the field of quantitative science studies, within years 2015-2019 are selected as samples. They are classified into different patterns of interdisciplinary publishing (PIP) based on authors’ affiliations and references. With the combination of multiple data sources such as OpenAlex and mixed methods including generative AI, research contribution, research topics and multidimensional impact of articles with different PIP are compared. Results show that the PIP with collaboration across domains and high disciplinary consistency in the knowledge base is increasingly prevalent. The level of topic momentous and research impact of articles with this PIP is relatively higher. These articles also produce more contribution in methodological innovation. Participation of authors from distant disciplines and references of literature from distant disciplines promote regularity-type contribution. The former tends to use quantitative methods to explore the phenomena or mechanisms closely related to their career development. The latter tends to integrate knowledge from other disciplines to solve problems concerned by scholars in the target field, or use bibliometric methods to solve problems concerned by scholars in other disciplines. These studies usually produce lower academic impact but higher societal impact. Based on empirical results and case study, we discuss on possible implications for scholars’ research activity, journals’ publication activity, and the cross-disciplinary integration.
Currently, there is volatility in the global chip industry supply chain. Accelerating the realization of R&D breakthroughs and iterative application of chip technology is crucial for promoting the development of China's chip industry.It is crucial for gaining the initiative in the great power game as well. The chip industry of Zhuhai has successfully explored a bottom-up market-oriented innovation path by focusing on large-scale market demand. It is worthwhile to study the chip industry of Zhuhai as a typical case. Based on the method of complex network analysis, this paper analyzes the evolution path and network structure of the innovation network of Zhuhai Chip Industry. The study shows that market-oriented innovation is a feasible path for the development of China's chip industry.The biggest advantage of market-oriented innovation is that it forms a positive feedback loop of the innovation network by activating innovation consciousness and scientific research enthusiasm of enterprises . Through the innovation closed loop of "market demand - technology upgrading - large-scale application - continuous innovation", industrial innovation and key core technology breakthroughs will be driven. While obtaining the competitive advantage of the industry, the market-oriented innovation network provides assistance for the construction of national independently controllable technology system. It is necessary to make full use of the advantages of China's super-large-scale market to promote collaborative innovation among multiple innovation subjects, with scale application as the pull. Thus, the innovation cycle of basic research, technology development and large-scale application will be realized.
The policy recommendations of this paper are as follows: Firstly, in the process of strategic industry development, it is necessary to pay attention to the role of large-scale consumer market. By tapping into the potential consumer market, enterprises' awareness of innovation in cutting-edge fields will be enhanced. At present, China has the advantages of a good foundation for artificial intelligence, rich application scenarios, and strong market demand for intelligent products. It forms a large-scale demand for intelligent chips. Enterprises can focus on the vertical fields that have formed large-scale market demand, such as intelligent networked automobile, intelligent equipment and smart home. On the basis of the state-owned mature process, develop and produce edge-side smart chips. Thus seizing the smart chip market and realizing lane-changing in niche areas. Secondly, The government should prudently decide the timing of entry of public resource elements, so as to fully activate the innovation consciousness of enterprises. During the exploration period of innovation, enterprises should be given sufficient autonomy and inclusiveness. Unreasonable allocation of innovative resource elements due to perturbations in the external environment should be avoided. When the enterprise achieves a comparative advantage in a segment, the government may provide targeted support for R&D investment and reward R&D achievements if necessary.The introduction of public resource elements can provide auxiliary support for subsequent key core technology research and development.Thirdly, expanding the range of participants in basic research. In the era of artificial intelligence, scientific theories and engineering technologies tend to converge, iterations continue to accelerate. Leading technology enterprises are able to play an important role in the autonomous and controllable technology system. It is necessary to coordinate leading enterprises, universities, research institutions and other parties to carry out collaborative innovation in basic research.
In the face of rising economic uncertainty, how to better promote high-quality development under concepts of innovation, harmonization, green, openness and sharing in the region is an important issue that is complied with the requirements of current times, based on national strategies and oriented to the needs of the people. Due to the ongoing process of globalization and the increasing specialization of labor, international economic and trade activities have seen a tendency that policy formulation, trade promotion, and investment-driven initiatives with regions as the main body, leading to the strengthening of inter-regional interaction and development. Against this backdrop, the export of high-tech products has become crucial in promoting a healthy interaction between the economy, trade, science, and technology. It is also a new economic growth point for upgrading the level of foreign trade and promoting the structural transformation of regional economies. However, imports and exports are vulnerable to the significant impact of rising regional economic uncertainty, which interferes with economic and trade activities and affects high-quality development of the region. This paper constructs indices of high-quality development under the five development concepts by applying the factor analysis, measures the degree of economic uncertainty at the regional level using the HP filtering method after defining the connotation of regional economic uncertainty. Using provincial panel data from 2002 to 2018 to study the impact of regional economic uncertainty on high-quality development, and explore the impact of the channel of high-tech product export, several conclusions are found as follows: (1) Regional economic uncertainty significantly inhibits high-quality development, with the negative impact remaining stronger in coastal areas than in inland areas, while improvement of financial development, enhancement of human capital and infrastructure, and optimization of industrial structure can promote high-quality development. (2) The export of high-tech products can promote high-quality development of the region. However, regional economic uncertainty can hinder the export of high-tech products, resulting in a negative impact on high-quality development. In other words, one of the important channels through which economic uncertainty affects high-quality development is the export of high-tech products. (3) Comparative advantages of high-tech products can promote regional high-quality development. Shaping comparative advantages of high-tech products can alleviate the negative impact of regional economic uncertainty on high-quality development. The Paper further proposes some suggestions. (1) Regional development should actively respond to regional economic uncertainty, and cooperate with various forces to mitigate the shock on high-quality development. To reduce potential negative shocks and minimize the adverse effects of regional economic uncertainty on high-quality development, central and local governments need to actively introduce policies conducive to economic stabilization and be well-prepared for risks and problems arising from economic uncertainty. (2) Each region should formulate appropriate policies based on its endowments and comparative advantages to cope with economic uncertainty. To promote regional high-quality development and resolve the impacts of regional economic uncertainty, local government departments and relevant organizations at all levels should optimize the regional industrial structure, pay attention to the accumulation of human capital and the construction of infrastructure, and create a favorable financial competitive environment while maintaining economic stability. (3) It is also important to focus on the development of regional high-tech products and build comparative advantages in the area. Policy support should be increased to promote the export of high-tech products, to bring about spillover and learning effects from participation in international market competition. By constructing regional comparative advantages of high-tech products, improving quantity and quality of high-tech product exports, to drive the innovative development of related industries, thereby promoting high-quality development of the region.
This study aims to systematically explore the multi-dimensional impact of China's regional Science and Technology Innovation Corridors (STIC) on economic growth, focus on the "dual characteristics". Based on the spatial dynamic panel model (SDM-DID), the panel data of 75 cities covering the three STICs (namely G60 STIC, Guangzhou-Shenzhen-Hong Kong-Macao STIC, and Beijing-Tianjin-Hebei STIC) and their surrounding cities from 2010 to 2021 were empirically tested. This study reveals the significant effect of STIC s in promoting the economic growth. However, the economic effect of the surrounding cities shows obvious inhibitions. This "dual characteristic" mainly stems from the asymmetry of agglomeration effect: in the corridor, the triple agglomeration effect of capital, talent and technology shows an obvious promotion effect. In contrast, in the surrounding cities, these agglomeration effects translate into the "siphon effect" of technology, resulting in the loss of capital and talent, which in turn inhibits their economic growth. In addition, as a regional growth pole, the STICs forms a "gathering shadow area" within a range of 350km around the corridor. When the shadow area exceeds a certain range, the radiation effect of the growth pole is obvious. It emphasizes that, in the construction of STICs, it is necessary to consider more carefully the possible negative impact on surrounding cities to achieve regional development sustainably. This study provides a new theoretical perspective for understanding the complexity and multi-dimensionality of STICs, also provides academic support and policy recommendations for government planning and decision-making.
The distribution of research talents in Chinese universities exhibits a clear phenomenon of concentration in the East and dispersion in the West, with a pronounced imbalance characterized by strength in the East and weakness in the West. This imbalance is detrimental to the realization of the national talent power strategy. Consequently, this study is based on the curriculum vitae data of 305 professors specializing in economics and management disciplines from 19 key universities in Western China. Employing the Kaplan-Meier and Cox regression survival analysis methods, the aim is to explore the career growth paths of these talents. The main findings are as follows: First, during the lecturer to associate professor stage, the coherence of educational background and proximity of educational lineage significantly influence the promotion of lecturers to associate professors in the economics and management disciplines of key universities in Western China. Lecturers with a coherent educational background have 2.92 times the probability of being promoted to associate professors compared to those without this characteristic. However, the proximity of educational lineage somewhat hinders the promotion from lecturer to associate professor. Second, from the associate professor to professor stage, gender, educational background coherence, overseas experience, and whether they have obtained outstanding talent projects are significant influencing factors. The likelihood of men being promoted to professor is 1.51 times that of women. Associate professors with educational background coherence are 1.71 times more likely to be promoted to professor compared to those with non-coherent educational experiences. The probability of associate professors who have obtained outstanding talent projects achieving rank promotion is 2.08 times that of associate professors without outstanding talent projects. However, overseas experience will slow down the promotion rate from associate professor to professor. Third, the levels of undergraduate education institutions, the complexity of educational experiences, and career mobility do not have a significant impact on the growth path of outstanding talent in the western management field.
To achieve carbon neutrality by 2060, China has set stricter energy-saving targets, and it is important to evaluate the effects of these targets' policies scientifically. The study finds that the energy-saving targets reduce the scale of carbon emissions, increase the total amount of carbon replacement, and effectively improve cities' carbon neutrality. At the same time, the energy-saving targets promote the carbon neutrality level of the city by strengthening the "top-down" promotion pressure and policy pressure, as well as the "bottom-up" transformation pressure and public opinion pressure. It is worth noting that the pressure of corporate transformation is the backbone of carbon neutrality, while public opinion monitoring with public participation has a limited effect on carbon neutrality. In addition, energy-saving targets have formed a complex and intertwined network of competition and transfer between different cities. Among cities in the same "situation", energy-saving targets will positively promote carbon neutrality in other cities, while among cities with development gaps, the carbon neutrality effect of energy-saving targets shows a significant siphoning effect. Interestingly, energy-saving policy targets in energy-endowed cities favour carbon neutrality enhancement in energy-poor cities. Therefore, it is important to focus on the role of public opinion supervision. The competition in the horizontal dimension needs to establish a benign mechanism, and the transfer in the vertical dimension should be flexibly managed based on the energy output rate.
［Purpose/significance］With the promotion of the strategy of 'strengthening the nation through human resource development', there has been a serious loss of scientific researchers in central and western universities in China, which led to the further structural imbalance in mobility regions. The paper aims to analyze Chinese researchers' current mobility trend and characteristics and provide a reference for talent absorption and management in some regions and institutions. ［Method/process］The ORCID dataset, publication data from WoS and institutional name data from multiple platforms were used as data sources, which were connected and normalized using rule-based and machine learning techniques to reconstruct the profile of Chinese researchers using data mining methods. Then, from the perspectives of mobility scale, mobility frequency and mobility patterns, the study analyzes the characteristics and trends of domestic mobility among Chinese researchers. Besides, the study examines the trends of talent mobility in various regions and the "new first-tier" cities after China's reform and opening by providing an in-depth analysis of Chinese researchers' mobility evolution. ［Result/conclusion］In general, the mobility of Chinese researchers is vast, but it is not frequent; the "siphon effect" of talents in "double first-class" universities coexists with competition for talents; regional mobility of researchers is unevenly distributed, with "new first-tier" cities and most regions of China having a high level of mobility, whereas northeastern and central China are experiencing severe brain drain problems. Based on these findings, this paper provides countermeasures for establishing a virtuous cycle of talent cultivation in a multidimensional collaboration of "national-local-university" as a means of further implementing the strategy of strengthening the country with talent, conducting twinning and supporting projects, improving the research environment, and enhancing the treatment of talents.
Working time fragmentation is a common challenge faced by scientific researchers. However, this question has not drawn enough attention from researchers. What is the current situation of working time fragmentation of scientific researchers in China? What are the main factors influencing their working hours to be fragmented? Based on a nationwide sample survey data, this paper analyzes the current situation and influencing factors of the fragmentation of working hours of researchers in China by using the methods of descriptive analysis and OLS regression analysis. The results show that researchers in China have a strong perception of work time fragmentation. Personal characteristics such as gender, age and time management ability; social role characteristics such as work-family relationship, administrative position and professional title; and work characteristics such as work unit type, working hours and work autonomy have a significant impact on the work time fragmentation of researchers. Specifically, men, older researchers and those with lower time management ability have higher level of working time fragmentation. The more balanced the work-family relationship leads to a lower degree of fragmentation of working hours. Administrative positions and professional titles are positively correlated with the degree of time fragmentation. The degree of time fragmentation of scientific researchers in colleges and universities is significantly higher than that in other work units. The average daily working hours are positively correlated with the degree of time fragmentation, while the work autonomy is negatively correlated with the degree of time fragmentation. Finally, based on the research and analysis, the paper puts forward some policy suggestions to reduce the fragmentation of working time.
Female scientific and technological workers are important contributors and participants in the vigorous development of China's scientific and technological industry, playing a crucial role in opening up new fields and tracks for technological innovation, achieving high-level technological self-reliance and self-improvement, and building a world science and technology powerhouse; However, the academic community's attention to the mental health status of female technology workers is relatively insufficient. Job burnout is a chronic disease that inhibits the innovation and work vitality of female technology workers in technological innovation activities. However, there is currently no in-depth exploration of the internal impact mechanism by scholars on how it will affect work performance. This study focuses on 4033 female technology workers in China. Based on resource conservation theory and cognitive affective personality system theory, job satisfaction and job engagement are introduced as mediating variables to construct a chain mediated model of job burnout inhibiting job performance, Verified the effectiveness of the explanatory chain mediating effect of "negative situations (job burnout) - cognitive units (job satisfaction) - emotional units (job engagement) - behavioral outcomes (job performance)", and explored the moderating effect of work values. Research has shown that (1) job burnout significantly negatively affects job performance; (2) Job satisfaction and job engagement play a partial mediating role in the negative impact of job burnout on job performance, respectively; (3) Job satisfaction and job engagement play a chain mediating role in the negative impact of job burnout on job performance; (4) Work values play a moderating role in the chain mediated relationship by enhancing the positive impact of work engagement on job performance. Based on existing research findings, this article provides relevant management insights.
In the context of innovation-driven development, the organization and coordination of complex scientific and technological innovations have garnered significant interest from scholars, which revealing the nature of research and innovation activities shifting from individual pursuits to a stage of collaboration among researchers and organizations. Gaining insight into the dynamic mechanisms that underpin collaboration among organizations participating in scientific and research activities is fundamental for further organizing and optimizing further collaborative innovation. Facing above challenges, this study focuses on scientific and research collaboration networks, employing social network analysis methods and stochastic actor-oriented models (SAOMs) to analyze the evolutionary characteristics and mechanism of collaborations, as well as the primary factors that influence the dynamics of scientific and research collaborations. Specifically, this research employs academic publications from year 2011 to year 2022 in the top lithography conferences to construct organizational collaboration networks and knowledge element co-occurrence networks. In this context, organizations that published academic papers are regarded as innovation entities, while knowledge elements extracted from these papers serve as nodes in the corresponding knowledge networks. We then examine the dynamic changes in collaboration relationships based on the analysis of network topology characteristics, while also considering the influence of the knowledge element characteristics held by innovative entities on the dynamic evolution of the network. in this empirical study, the findings indicate that the scientific and research collaboration network in the area of lithography displays a trend of diminishing the number of core organizations, accompanied by a strengthening of collaborative relationships among participating innovative entities, suggesting a growing emphasis on building robust partnerships within the network. The findings of the study also highlight the influence of network status and transitivity on scientific and research collaboration. Knowledge proximity, knowledge diversity, and the triadic transfer of the collaboration network positively impact the formation of collaborative relationships among innovative entities. The positive coefficient of transitivity supports the facilitative effect of triadic closure on the formation of the collaboration network, reflecting the "friends of friends" phenomenon. The beneficial effect of knowledge proximity is also notable, indicating that organizations prefer to collaborate with those sharing similar knowledge structures and content, thereby reducing communication costs, and improving communication efficiency. In contrast, a high degree of knowledge combination opportunities reduces the likelihood of collaboration in this area. The negative coefficient of network status indicates that organizations in core positions are less inclined to establish new collaborations with other entities, since they may prefer to utilize their resources rather than engage in external collaborations. Moreover, we found that higher knowledge similarity reduces communication costs between related institutions, thereby increasing the likelihood of forming cooperative relationships. The findings demonstrate that the characteristics of the knowledge network significantly determine the modes of collaboration among participating organizations. Through a detailed analysis of the dynamic evolution of collaboration networks and knowledge networks, this study provides theoretical foundations and practical guidance for optimizing collaborative strategies and network decisions for innovative entities. These insights offer important references for the purposes of evaluating the collaborative strategies and further organizing research collaborations.
With the development of biotechnology, more and more pharmaceutical products are developed on the basis of genetic resources and traditional knowledge, which have become a scarce resource with commercial value. Developing countries have enacted domestic legislation to protect these resources, but there are disputes in the international community about the justification of intellectual property protection to genetic resources and traditional knowledge. The lack of protection has led to a series of problems, such as the reduction of biodiversity and cultural diversity, the loss of interests of developing countries, the widening of the global wealth gap, and the imbalance of power and knowledge systems. The theory of property rights and intellectual property rights constitute the theoretical basis for the protection of genetic resources and traditional knowledge, which makes the intellectual property protection to genetic resources and traditional knowledge justified. The results show that the innovation of science and technology leads to the reform of property rights system; Reform of property rights system through domestic and international legislation; The change of the concept of property rights and cultural concept promotes the reform of property rights system.
The current "neck-sticking" dilemma in China is not merely sanctions on specific enterprises or technological fields, but the comprehensive blockade of the industrial chain and innovation chain by the Western countries with the United States as the leader. Derivative technological innovation around key core technologies and building a complete technological ecosystem based on the industrial chain represent fundamental approaches to comprehensively breaking through the "neck-sticking" dilemma. However, current literature on how focal firms' key core technology affects derivative technological innovation in the industrial chain is relatively limited, making the industrialization of key core technology lack theoretical guidance. Based on the perspective of innovation diffusion, we propose an analytical framework for the diffusion path of key core technology and its derivative technology innovation, and discuss its process mechanism, influencing factors and implementation path.
This article takes A-share listed companies as research objects and identifies key core technology through their patent information, so as to obtain a list of focal firms owning key core technology. Subsequently, we obtain the basic information and patents of suppliers and customers for these focal firms and identify whether these patents are derivative patents around the key core technology based on their technology areas. Based on the finally available 699 year-firm unbalanced panel observations of 142 firms over the period 2008-2020, the empirical research is conducted using a regression method.
It is found that the key core technology acquired by the focus enterprise might significantly promote the derivative technology innovation of the industrial chain. Among them, the focal firms can push the derivative technology innovation of upstream suppliers after acquiring key core technologies, but their influence on downstream customers is limited. Further heterogeneity analysis shows that the innovation model of collaborative R&D and the bargaining power of focal firms may strengthen the promotion effect of key core technologies on derivative technology innovation. Stringent intellectual property rights protection also hinders the innovation of derivative technologies, while the moderating effect of geographic proximity is not significant.
Contributions are reflected in the following aspects: (1) The findings of this study provide theoretical support for whether and how derivative technology innovation can be promoted after the breakthrough of key core technology. Existing literature mostly analyzes the motives and paths of derivative technology innovations spawned by key core technology in a qualitative manner, which lacks empirical evidence. We argue that not only the single-point breakthrough from "0 to 1" but also the subsequent derivative technology innovation from "1 to N" should be emphasized to break through the "neck-sticking " dilemma. We thus advance theoretical research on "neck-sticking" technology by testing that focal firms could construct a technological ecosystem from the perspective of innovation diffusion after acquiring key core technology. (2) We have broadened boundaries regarding the mechanism of innovation implications in industrial chains. Unlike previous studies that focused on how the innovation capability of suppliers or customers affects the innovation behavior of focal firms, the study shifts the lens to focal firms and focuses on how innovation breakthroughs of focal firms affect derivative technology innovations of upstream and downstream firms in the industry chain. (3) The study constructs information flow in the innovation diffusion process of key core technology and sheds light on how key core technology promotes derivative technology innovation through the flow of technology, information and personnel, thus enriching the study on spillover paths in innovation diffusion research. In summary, we have provided theoretical support for the diffusion of innovation of key core technology and the construction of the technological ecosystem of the industrial chain, as well as a reference basis for industrial innovation practice and policy formulation.
Can the IT imprints experienced by executives during sensitive periods have a lasting impact on corporate behaviour and drive digital innovation? Based on the imprinting theory, using the data of the NEEQ-Listed Companies from 2013 to 2021, this paper empirically examine the effects and mechanisms of executives with information technology background influencing corporate digital innovation by identifying digital patents to measure corporate digital innovation through text analysis. The study shows that the larger the proportion of executives with IT education or experience, the more digital patents the enterprise obtains and the higher the quality, indicating that executives with IT background promote the "quantity and quality" of enterprise digital innovation; it is further found that executives with IT background promote enterprise digital innovation through the cognitive imprint of identifying digital innovation opportunities, the skill imprint of overcoming digital technology It is further found that executives with IT background promote digital innovation through the cognitive imprint of identifying digital innovation opportunities, the skill imprint of overcoming digital technology short-sightedness, and the relational network imprint of gathering innovation factors; and when market development is insufficient and property rights protection is absent, it is more obvious that executives with IT background promote digital innovation of enterprises. This paper extends the research on the antecedents of digital innovation to provide insights on promoting digital innovation from the perspective of talent allocation and talent development.
The gradual embedding of scene elements in the agricultural industry chain stimulates the change of users' consumption expectations, which changes the value relationship of each node in the industry chain from "value symbiosis" to "value co-creation" and then to "value win-win". However, there is a lack of in-depth theoretical discussion on how the nodes of the agricultural industry chain transform from value symbiosis to value co-creation to value win-win. For this reason, this study takes Mengqing agricultural industry chain as an example to explore and refine the ecological innovation mechanism and path of new retail business model of scene-enabled agricultural industry chain. The study finds that:①The value relationship of each node of the agricultural industry chain in the three stages of "value symbiosis" to "value co-creation" and then to "value win-win" corresponds to the three processes of "cross-border connection of business situations", "associated coupling of consumption expectations" and "cross-mixing of business scenarios" respectively.②In the business context of cross-border connection, based on the logic of product-led extension of the industrial chain, the supply chain grafting through the industry to help farmers lead the countryside out of poverty.③In the coupling of consumer expectations, expand the industry chain based on service-oriented logic, and lead the countryside to get rich through industrial farming with the help of value chain guidance.④In the cross-mixing of business scenes, the industry chain is associated based on the scene-led logic, and the countryside is led to be rich through the regulation of the scene chain. The innovation of new retail business model of agricultural industry chain cannot be separated from the 3-chain adaptation of "supply chain-value chain-scene chain", which can not only help strategic choice, but also revitalize the countryside through value transformation.
