Establishment of Regional Green Innovation Value Chains:A Case Study on Tackling the Impeded Diffusion of Green Products

The green innovation value chain is a key step in transforming green,innovative scientific,and technological achievements into productive forces.The establishment of green innovation value chains based on value distribution rather than technical conditions can effectively overcome the common bottleneck faced by different nations during their green innovation endeavors,namely,the substitution of conventional products with green alternatives.This study investigates the impeded diffusion of green products and their underlying causes,analyzes the internal structure and mechanism of the green innovation value chain,and explores the establishment of regional green innovation value chains and the models available for value chain upgrading.

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

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

Research on Innovation Strategy of Supply Chain Management of Agricultural Enterprises Under the Background of Big Data

With the rapid development and widespread application of Big Data technology, the supply chain management of agricultural products enterprises is facing unprecedented reform and challenges. This study takes the perspective of Big Data technology and collects relevant information on the application of supply chain management in 100 agricultural product enterprises through a survey questionnaire. The study found that the use of Big Data can effectively improve the accuracy of demand forecasting, inventory management efficiency, optimize logistics costs, improve supplier management efficiency, enhance the overall level of supply chain management of enterprises, and propose innovative strategies for supply chain management of agricultural products enterprises based on this. Big Data technology brings a new solution for agricultural products enterprises to enhance their supply chain management level, making the supply chain smarter and more efficient.

Fuzzy multiple attribute decision-making model for synergic knowledge innovation in supply chain

The procedure of supply chain development is the process of continuously congregating knowledge and transforming knowledge.First,the precondition of synergic knowledge innovation in the supply chain is narrated.Then the characteristics of synergic knowledge innovation in the supply chain are analyzed,including complexity,accumulating and evolving process,and the cooperation of members and network integration.Due to the characteristics of multi-factors and uncertainties of the supply chain system,the fuzzy multi-attribution group decision-making model is introduced to solve the involved problem of synergic knowledge innovation in the supply chain.After elaborating on steps of using the fuzzy multiple attribute decision-making(MADM)model,the procedure of decision making for synergic knowledge innovation in the supply chain is explained from an example in the application of a fuzzy MADM model.The fuzzy MADM model,which amalgamates intuition and resolution decision-making can effectively improve the rationality of decision-making for synergic knowledge innovation in the supply chain.

A Study of Methods to Identify Industry-University-Research Institution Cooperation Partners based on Innovation Chain Theory

Purpose： This study aims at identifying potential industry-university-research collaboration（IURC） partners effectively and analyzes the conditions and dynamics in the IURC process based on innovation chain theory.Design/methodology/approach： The method utilizes multisource data, combining bibliometric and econometrics analyses to capture the core network of the existing collaboration networks and institution competitiveness in the innovation chain. Furthermore, a new identification method is constructed that takes into account the law of scientific research cooperation and economic factors.Findings： Empirical analysis of the genetic engineering vaccine field shows that through the distribution characteristics of creative technologies from different institutions, the analysis based on the innovation chain can identify the more complementary capacities among organizations.Research limitations： In this study, the overall approach is shaped by the theoretical concept of an innovation chain, a linear innovation model with specific types or stages of innovation activities in each phase of the chain, and may, thus, overlook important feedback mechanisms in the innovation process.Practical implications： Industry-university-research institution collaborations are extremely important in promoting the dissemination of innovative knowledge, enhancing the quality of innovation products, and facilitating the transformation of scientific achievements.Originality/value： Compared to previous studies, this study emulates the real conditions of IURC. Thus, the rule of technological innovation can be better revealed, the potential partners of IURC can be identified more readily, and the conclusion has more value.

Cooperative Innovation in a Supply Chain with Different Market Power Structures

This paper studies firms’ innovation behavior in a supply chain where two firms first invest to reduce component’ cost according to different innovation modes (non-cooperative innovation, sequential innovation, and cooperative innovation) and then decide the prices according to different market powers (Supplier-Stackelberg, Manufacturer-Stackelberg, and Nash). We find that both the supplier and the manufacturer make more innovation efforts and profits under sequential innovation than under non-cooperative innovation when the market power is any one of three structures. Moreover, the firm prefers to invest as the follower in sequential innovation. We also show that the firms are easy to achieve cooperative innovation under symmetrical power market structure than asymmetrical power market structure. By using a concept named innovation-desirability-index that measures a firm’s desire to innovate in the supply chain, we show that it is optimal for a firm in the chain to cooperate with such a firm whose market power is close to his own if the innovation-desirability-index is higher, otherwise with such a firm whose market power is lower to his own.

Global Value Chain Embeddedness,Knowledge Spillovers,and Clustered Firms' Innovation Performance

Empirical evidence of the effects of global value chain( GVC) embeddedness on clustered firms' innovation is presented in this paper. The intermediary roles of the two types of knowledge spillover( explicit and implicit) in GVC embeddedness and clustered firms' innovation are considered, and the effects of structure embeddedness,relationship embeddedness,and acknowledgement embeddedness on clustered firms' innovation are examined. Analysis is based on the sample of 134 export-oriented firms from the Shaoxing industrial cluster in Zhejiang province of China. Results show that although GVC embeddedness is associated with high use of external knowledge sources,clustered firms' innovation is promoted indirectly through explicit knowledge spillover. Intrinsic connections exist among the different dimensions of GVC embeddedness,that is,structure embeddedness not only directly improves relationship embeddedness but also indirectly improves acknowledgement embeddedness through relationship embeddedness.

Firm Size, Innovation and Vertical Integration Incentives： The Case of Food Supply Chain

This study aims to investigate and explore the relationship between vertical integration and the firm＇s innovativeness in food supply chain. For doing so, a two-stage least-squares model was used. It encompassed instrumental variables that attempt to describe the effective determinants of firm＇s vertical integration willingness. Results based on data concerning a set of 130 food-manufacturing firms, highlighted that vertical integration of a firm is strongly affected by internal incentives such as innovation rate and firm size. Moreover, it is simultaneously influenced by the economies of scale and some structure incentives. To conclude, results indicate globally that important and statistically significant differences exist across the studied firms and the small effective ones which acquire a high level of vertical integration.

Production and Innovation in Supply Platforms:Insights from the Innovation Systems and Value Chain Approaches

This paper introduces the term ＇supply platform＇ as a tentative and open-ended concept that captures characteristics of central importance for the study of export-oriented producers. As regional concentrations of export-oriented suppliers in China and India are maturing, many firms are now striving to build up innovation capabilities. How do we study the transition from production capabilities to innovation capabilities in supply platforms？ This paper reviews the insights from the innovation systems and global value chain literatures and discusses how we may build on these approaches for empirical studies of transition. It is found that these literatures provide important hypotheses for empirical research but more conceptual work is needed in order to address adequately the question of interest.

Research on the Innovation and Development of Regional Industrial Chain in the Context of Guangzhou-Foshan City

Based on the research on regional industrial chain innovation and development in the context of Guangzhou-Foshan City,this paper examines the industrial complementarity between Guangzhou and Foshan and finds that while Guangzhou-Foshan City is developing,there are still some issues,such as the homogenization and competition of industrial development,a lack of profound integration of industrial chain with innovation chain,and the need to optimize the innovative coordination system.Finally,it proposes some countermeasures to promote the innovation and development of Guangzhou-Foshan regional industrial chain from several aspects,including implementing regional advanced industrial base and modern industrial chain,promoting the deep integration of industrial chain with innovation chain,and optimizing the spatial layout of collaborative innovation.

A Structure Innovation on the Loading/Unloading Equipment for MSW Container

A structure innovation on the loading/unloading equipment for MSW (municipal solid waste) container was de- signed.By disposing chain transmission perpendicularly,the loading/unloading equipment for MSW container was developed by linear movement part of the chain transmission.Effect of transmission mechanism on the motion stability of chain transmission was discussed.The relation between chain sag,chain length and chain pitch numbers was studied,and the calculation equation of chain sag by perpendicularly disposing chain transmission was deduced.The relation curve between allowed abrasion ratio and pitch numbers of chain was studied,the reason for tooth-leap was analyzed,and new equipment of preventing tooth-leap was put for- ward.Loading/unloading devices equipped with new transmission mechanism have been made into products,and this structure in- novation has been applied in practice largely.It made considerable economic and social benefit.

Innovations in Value-Addition of Agricultural By-Products in Uganda

The purpose of this review was to profile the existing innovations in the value addition of agricultural by-products and suggest innovations that could yield more value-added products from the available agricultural by-products in Uganda. These by-products were from crops, livestock, fish and forestry sub-sectors. The review indicated 7.8 million tons from the crops’ subsector, 6.69 million skins and hides, 2280 million tons of cow dung and 390,550 tons of chicken dung from the livestock subsector, 36,000 tons from the fish subsector and 440,000 m3 of sawdust and offcuts from the forestry sub-sector. Current innovations in value-addition of agricultural by-products included the making of briquettes, organic fertilizers, biogas, biochar, pellets and organic pesticides from the crop subsector. Cow dung from the livestock is used for plastering walls of houses, used as fertilizer and used for the production of biogas. Chicken droppings are as well used as fertilizer and for production of biogas. Fish frames and skins are mainly consumed in smoked form whereas trimmings are usually rolled into fish balls and then fried for people to eat while the fats are used for frying the fish balls. Sawdust has been mixed with cement to make wood-cement composite bricks that reduce the overall weight of the building. It is also being used as feed in the Indigenous Micro-Organisms (IMO) technology in the production of pigs. Proposed innovations include the use of bones to produce soft tissue, buttons, knife handles and bone meal. Blood can be used in making adhesives and fertilizers while fish oil is a major dietary source of long chain omega-3 polyunsaturated fatty acids and so can be utilized to enrich different food products.

Structural Innovation Processes in Medium-Sized Italian Firms:Case Analysis in the Fashion Industry

Attention to technological innovation is focused on the belief that aesthetic innovation can be either facilitated or inhibited within this open innovation setting where limited protection and dynamic knowledge flows occurring across organizations. The clothing industry in Italy was chosen as a target context, because many innovative pioneering medium sized enterprises (MSEs) were operating in the industry and we decided to adopt a research methodology based on the use of a qualitative analysis of business cases. The data were collected in three regions of Italy: Emilia Romagna, Marche, Umbria visiting investigated companies over six years (2010-2017). From a part of the necessity of deep organizational engagement with integrated stakeholders, the results imply that firms choose a multiple stakeholders integration strategy with particular attention to supply side relationships in the sense that they vary in their openness towards up-stream supply chain.

Innovation Process in Medium-sized Italian Fashion Firms:A Longitudinal Case Analysis

Attention to technological innovation is focused on the belief that aesthetic innovation can be either facilitated or inhibited within this open innovation setting where limited protection and dynamic knowledge flows occurring across organizations.The clothing industry in Italy was chosen as a target context,because many innovative pioneering medium sized enterprises(MSEs)were operating in the industry and we decided to adopt a research methodology based on the use of a qualitative analysis of business cases.The data were collected in three regions of Italy:Emilia Romagna,Marche,Umbria visiting investigated companies over six years(2010-2017).From a part of the necessity of deep organizational engagement with integrated stakeholders,the results imply that firms choose a multiple stakeholders integration strategy with particular attention to supply side relationships in the sense that they vary in their openness towards up-stream supply chain.

Applications and Challenges of Smart Technologies in Supply Chain Management

The advent of intelligent technologies in supply chain management(SCM)through the use of artificial intelligence(AI),the Internet of Things(IoT),blockchain,big data analytics,and others is a game changer.These improvements increase clarity,effectiveness,and flexibility,allowing companies to quickly deal with market changes and interruptions.Nevertheless,adopting such technologies comes with difficulties,such as information security,compatibility,exorbitant prices,and employee opposition.The applications of intelligent technologies for SCM are examined in this article,as well as the importance of their implementation and solutions that provide a competitive advantage for businesses.

湖北探索以“用”为导向发展新质生产力的案例研究

湖北省结合自身科技优势和经济发展需求,探索以“用”为导向发展新质生产力的新路径,通过建设科创供应链平台,解决创新链与产业链脱节的问题。结合国内外创新理论,基于湖北省的创新实践,提出以“用”为导向发展新质生产力的框架模型,构建研究开发、金融供给、政府支持和服务促进四大系统,推动有效市场、“有为政府”一体发力,促进技术集聚、产业转化、人才引流、资本聚合,从而加速培育发展新质生产力。总结湖北省以“用”为导向发展新质生产力的实践探索和进展成效,提出进一步夯实研发系统、拓展金融供给、强化服务促进、优化政府服务的相关建议,以期为其他地区提供借鉴。

数据规制对制造业全球价值链韧性的影响

数据规制作为缓解数据市场失灵和提升数据安全的政策工具,加速数字经济对全产业链的渗透和融合,促进制造业参与生产分工机会的公平化与多元化,推动全球价值链分工演进。在多重不确定性因素引发全球价值链重构背景下,数据规制能否成为增强制造业全球价值链韧性的制度保障成为重要议题。基于2007—2021年38个国家的数据规制政策条款,测算出这些国家的数据规制水平。基于价值链长度等数据,从安全性和稳定性两个维度测算出这些国家16个制造行业的GVCs韧性。利用该面板数据,通过双向固定效应和中介效应模型,定量分析数据规制对制造业价值链韧性的影响与机制。研究发现,数据规制能够显著提升制造业全球价值链韧性,但提升效果存在着边际递减特征,该结论在替换核心变量衡量指标、引入制度遗漏变量、考虑政策传递时滞、进行内生性处理后依然稳健。数据规制政策对制造业价值链韧性的提升作用具有异质性,该驱动作用在商业数据与知识产权数据流通量较大的资本与技术密集型制造业中、市场与创新环境处于成长阶段的发展中国家中、更注重数据主体隐私维护的欧式和中式规制的国家中更为显著,且管制国内数据对价值链韧性所产生的影响大于管制跨境数据。数据规制可增强企业间的数据信任,通过网络连接效应和生产协同效应对制造业价值链韧性产生直接影响,并通过扩大市场规模、降低贸易成本、促进技术创新三种渠道间接提升制造业价值链韧性。因此,为有效推进数据治理及维护价值链安全,应规范数据交易规则与收益分配,促进数据有效流通;完善数据治理的功能性配套措施和精细化管理,发挥数据要素规模对价值链韧性的倍增作用;坚持参与国际数据规则的制定,建立有效的跨境数据安全评级系统。

产业生态系统视角下新质生产力发展内在逻辑及形成机制

产业生态系统涵盖了发展新质生产力过程中的先进技术、关键产业和核心要素,成为研究新质生产力发展的重要视角。基于“技术—产业—要素”分析框架探讨新质生产力发展的内在逻辑:在技术层面,历史上的四次产业革命表明,产业生态系统推动一系列革命性技术创新;在产业层面,产业生态系统通过资源共享、知识溢出和技术扩散,促进新兴产业的形成和发展;在要素层面,产业生态系统借助“数据—算法—流量”和“数据—网络—活动”的动态反馈循环机制,实现生产要素的创新性配置。产业生态系统可分为创新生态系统、商业生态系统和平台生态系统三个子系统。其中,创新生态系统突破新质生产力创新边界,商业生态系统拓展其应用场景,而平台生态系统则优化其要素配置。进一步推动新质生产力发展,应构建一个系统,确保各要素协同发展;坚持双轮驱动,整合科技创新和制度创新;促进四链融合,加强创新链、产业链、资金链和人才链的互动。

绿色供应链管理、信息共享与创新绩效——长期导向的调节作用

随着企业生存环境的高度变化,竞争逐渐从组织间竞争转向供应链竞争,信息共享对于供应链网络的协同发挥着关键作用。现有研究较少关注绿色供应链管理对创新绩效的作用机制,且尚未结合中国传统文化情境具体分析。在我国制造企业绿色低碳转型之际,本研究以“绿色供应链管理—信息共享—创新绩效”的理论逻辑探讨信息共享在绿色供应链管理与创新绩效两者间的中介作用,并引入长期导向作为调节变量。基于我国213个制造企业问卷样本,实证研究发现:企业内外部绿色管理对于企业创新绩效均具有显著的正向作用;信息共享分别在内部绿色管理和外部绿色管理与创新绩效之间起到中介作用;信息共享的中介作用受到长期导向的正向调节,长期导向程度越高,绿色供应链管理与信息共享之间的关系越强,进而提升了企业创新绩效。

供应链韧性:驱动新质生产力的引擎

文章从供应链韧性视角出发,以2013—2022年我国沪深A股上市企业为研究样本,采用实证方法验证了供应链韧性与新质生产力之间的内在联系。研究结果表明,供应链韧性的增强对新质生产力的增长具有显著的推动作用。同时,通过稳健性检验巩固了这一结论的可靠性;通过异质性分析发现,供应链韧性通过协同创新路径促进新质生产力发展。该研究旨在为激发新质生产力的蓬勃发展提供新颖而有力的动力源泉,为政策制定者、企业管理层及市场参与者提供相关建议与策略指导。