Effects of Global Value Chain Position on the Carbon Emissions of Manufacturing Industry in China: An Empirical Study Based on the STIRPAT Model

Based on the input-output data from the World Input-Output Database( WIOD),the global value chain( GVC) position of China's manufacturing industry from 2003 to 2014 was calculated,and the relationship between the carbon emissions and global value chain position of China's manufacturing industry was studied based on the improved STIRPAT model. The results show that the improvement of global value chain position could significantly reduce the carbon emissions of China's manufacturing industry. In addition,foreign investment and energy structure hindered the low-carbon development of China's manufacturing industry. The effects of population size and research intensity on the carbon emissions of manufacturing industry were not significant. In the process of participating in the global value chain,China's manufacturing industry should effectively reduce carbon emissions by strengthening environmental regulation,optimizing energy structure and improving production technology.

Creative Economy, Manufacturing Industry, and Agribusiness in the New Era of Globalization

The aim is to examine how the creative sectors and professionals contribute to the manufacturing industry and agribusiness in the new era of globalization.Creative sectors can develop innovations and experiences as part of their own activities,as well as procedures,technologies,and routines in business models,which increase the efficiency or the quality of the results.Creative professionals can support innovation and the generation of experiences.

China’s Manufacturing Sector,Industrialization and Economic Globalization

By analyzing the development and industrialization of China’s manufacturing industry since reform and opening-up,this paper proposes China has played three roles in economic globalization-as an in-depth participant in specialization of the global manufacturing value chain,as an active facilitator of global inclusive and sustainable industrialization,and as a cooperative innovator in the new industrial revolution.It is significant for comprehensively understanding the role of China in economic globalization.

Cross-border Urban Networks Based on Manufacturing Global Value Chain:A Study of Listed Companies in Western China

Cross-border investment is essential for western China’s globalization.Global value chain(GVC)forms cross-border investment networks between industries in western China and overseas cities.Focusing on GVC,this study uses the social network analysis method,entropy method,multi-index comprehensive evaluation method,and quadratic assignment procedure analysis method to examine the characteristics and influencing factors of the urban networks of research and development(R&D),production,and sales formed as a result of the overseas investments of listed manufacturing companies in western China.Results showed that the three types of investment networks involved multiple industry types and multiple central cities with differentiated diversity and multicentrality.The R&D urban network’s leading sub-industries were the mechanical equipment and instruments,medicine and biological products,and metal and nonmetal industries.The destination cities were mostly those home to educational and scientific research centers.The production urban network’s leading sub-industries were the mechanical equipment,instrument,and food and beverage industries.The destination cities were mostly regional central cities in developing countries.The sales urban network’s leading sub-industries were the mechanical equipment and instrument,metal and nonmetal,and petrochemical and plastics industries.The destination cities were numerous and scattered.In addition,the R&D urban network easily formed specialized clusters,core nodes easily controlled the production urban network,and individual nodes did not easily control the sales urban network.Technological and economic system advantages greatly impacted the three network types.Considering the different influencing factors,this study suggests optimizing the institutional investment environment to narrow the institutional gap,adjusting and optimizing the investment layout to expand overseas markets,and increasing R&D funds to stimulate technological progress and overseas investments in western China.

As Could We Assure Safety in Large-Scale Manufacturing of Nanoparticles for the Biomedical Use

Nanoparticles provide great advantages but also great risks. Risks associating with nanoparticles are the problem of all technologies, but they increase in many times in nanotechnologies. Adequate methods of outgoing production inspection are necessary to solve the problem of risks, and the inspection must be based on the safety standard. Existing safety standard results from a principle of “maximum permissible concentrations or MPC”. This principle is not applicable to nanoparticles, but a safety standard reflecting risks inherent in nanoparticles doesn’t exist. Essence of the risks is illustrated by the example from pharmacology, since its safety assurance is conceptually based on MPC and it has already come against this problem. Possible formula of safety standard for nanoparticles is reflected in many publications, but conventional inspection methods cannot provide its realization, and this gap is an obstacle to assumption of similar formulas. Therefore the development of nanoparticle industry as a whole (also development of the pharmacology in particular) is impossible without the creation of an adequate inspection method. There are suggested new inspection methods founded on the new physical principle and satisfying to the adequate safety standard for nanoparticles. These methods demonstrate that creation of the adequate safety standard and the outgoing production inspection in a large-scale manufacturing of nanoparticles are the solvable problems. However there is a great distance between the physical principle and its hardware realization, and a transition from the principle to the hardware demands great intellectual and material costs. Therefore it is desirable to call attention of the public at large to the necessity of urgent expansions of investigations associated with outgoing inspections in nanoparticles technologies. It is necessary also to attract attention, first, of representatives of state structures controlling approvals of the adequate safety standard to this problem, since it is impossible to compel producers providing the safety without the similar standard, and, second, of leaders of pharmacological industry, since their industry already entered into the nanotechnology era, and they have taken an interest in a forthcoming development of inspection methods.

AN INTEGRATED APPROACH FOR PRODUCTION-DISTRIBUTION NETWORK DEPLOYMENT

An integrated approach for new vehicle program launching and associated manufacturing systems deployment,is presented in this paper.To overcome weaknesses and difficulties in the traditional production distribution (PD) network models,the case based reasoning is first applied to generate an initial network configuration based on the collected localization case base.Secondly,and economic model of performance evaluation of existing manufacturing facilities is developed to identify the advantages in location sensitive production factors for various components in order to take full advantages of local and global production factors.Finally,a modified PD model is developed to optimize the overall network deployment.Various deployment scenarios,such as minimizing manufacturing cost,maximizing profitability or promotion of early market entry,can be analyzed and testified.A typical case study of launching a new vehicle program in China is also presented to demonstrate the effectiveness and feasibility of the proposed approach.

Research Progress of Foreign Direct Investment and Global Value Chain Status

With the rapid development of globalization,the industries of various countries are actively seeking the best way to improve the global value chain(GVC)status while integrating into the world.As an important factor affecting the GVC status,foreign direct investment(FDI)has attracted extensive attention from scholars.On the basis of systematically summarizing the research progress of FDI theory,GVC status and the influence of FDI on GVC status,the paper tries to clarify the internal relationship between FDI and GVC status,explores the shortcomings of existing research,and puts forward the possible direction of future research.

国内外全球价值链研究热点与趋势分析——基于CiteSpace的可视化分析

为深入研究国内外全球价值链的发展现状与趋势,选取2018年至2023年间中国知网收录的1196篇以全球价值链为核心研究主题的文章为基础数据,利用CiteSpace进行了全球价值链的可视化分析。研究结果表明,近五年来全球价值链领域的研究热点主要集中在制造业、产业结构、数字经济、加工贸易、融资约束、国际分工、比较优势等方面,数字经济与全球价值链的深度融合,成为未来研究的重要焦点,产业结构的优化也被证实将对全球价值链的发展产生深远影响。通过可视化分析对全球价值链领域的热点问题进行研究分析,为未来全球价值链相关研究提供启示。

智能工业时代:工业场景下的AI大模型体系架构与应用探索

自工业革命以来,工业生产先后经历了机械化、电气化、自动化、信息化的演进,正从数字化向智能化迈进,AI大模型凭借卓越的理解能力、生成能力和泛化能力,正推动工业走向自适应、自决策和自执行。卡奥斯COSMOPlat基于海尔集团40年制造经验,自主研发了国内首个以工业互联网平台为数字底座的多模态大模型——COSMO-GPT工业大模型,已在智能柔性装配、服装辅助设计和注塑机工艺参数优化等场景落地应用,有效提升了产品设计、生产效率,降低了生产成本,为大模型在工业领域的应用推广提供了参考和借鉴。

人工智能技术对制造业全球价值链地位的影响研究--基于人工智能专利数据的实证分析

人工智能发展可以为中国制造业全球价值链地位提升带来新的竞争力。利用2010—2022年中国省级制造业的面板数据,实证检验人工智能技术进步对中国制造业全球价值链地位的影响。研究发现:在样本期中,人工智能技术可显著促进制造业全球价值链地位的提升,该结论经过内生性处理和稳健性检验后依然成立;人工智能技术对制造业全球价值链地位的促进效应区位异质性明显,中国东部地区与对外开放水平高的省份中促进效果更好;机制检验发现,人工智能技术可通过促进科技创新和产业结构升级,间接提升制造业全球价值链地位;空间效应分析表明,人工智能技术对制造业全球价值链地位的影响存在明显的空间溢出效应。

突发公共卫生事件对中国与东盟制造业全球价值链影响研究

以中国与东盟为研究对象,测算其全球价值链参与指数,实证检验突发公共卫生事件对中国与东盟制造业全球价值链的影响。突发公共卫生事件对中国与东盟制造业全球价值链的负向影响显著,且资本密集型相较于劳动密集型和知识密集型制造业全球价值链更易受突发公共卫生事件影响。突发公共卫生事件对人力资本国际流动和国际资本流动的抑制是其阻碍中国与东盟制造业全球价值链参与度深化的内在机制,但自由贸易协定具有缓解作用。据此,提出完善突发公共卫生事件应对机制,加大科教投入,优化对外直接投资和完善营商环境等对策建议。

基于VAR模型的制造业价值链攀升影响因素研究——以江苏为例

以向量自回归(VAR)模型为基础,运用协整检验、格兰杰因果检验、方差分解和脉冲响应分析等技术,综合考察了技术创新、生产性服务业、产业集群、制造业规模等因素对江苏制造业价值链攀升的影响。研究发现:制造业价值链、技术创新、生产性服务业三者之间存在长期均衡关系,且生产性服务业是制造业价值链的Granger原因,制造业价值链是技术创新的Granger原因,但技术创新不是制造业价值链的Granger原因;脉冲响应和方差分解表明,各因素对制造业价值链攀升的影响顺序依次是生产性服务业、技术创新、产业集群指数和制造业规模,它们对制造业价值链总方差的贡献分别为28.1%、20.5%、6.3%和2.6%,说明四者对制造业价值链攀升具有重大影响,但生产性服务业影响更大。据此,提出了加快发展生产性服务业、加大技术创新力度、加速产业集群升级、壮大企业规模等政策建议。

全球价值链分工地位对中国制造业碳排放的影响——基于STIRPAT模型的实证研究

基于WIOD提供的投入产出数据，文章计算得到了2003-2014年中国制造业全球价值链分工地位指数，同时通过改进的STIRPAT模型实证研究了中国制造业碳排放与全球价值链分工地位的关系。研究结果显示：全球价值链分工地位的提升可显著降低中国制造业碳排放。另外，行业外资和能源结构阻碍了中国制造业的低碳发展，人口规模、科研强度等因素对制造业的碳排放作用并不显著。中国制造业在参与全球价值链的过程中，应从加强环境管制、优化能源结构、改进生产技术等多方面有效降低碳排放。

基于DEA模型的湖南装备制造业技术创新效率研究

基于2003—2010年大中型工业企业的面板数据,利用DEA模型对湖南装备制造业的技术创新效率进行测量,对体现创新投入与产出之间比例关系的规模收益情况进行分析,并利用Malmquist指数模型对技术创新效率进行分解,进一步地,提出相关建议,以期为湖南装备制造业的发展提供理论指导。

基于DEA模型的辽宁省装备制造业效率对比分析

一个行业的投入与产出的效率影响着整个区域经济的可持续发展水平,而装备制造业又是辽宁省经济发展的根基,因此,本文利用DEA模型,从资源投入与产出的角度对辽宁省装备制造业七个细分行业进行了分析,并提出了各个细分行业优化投入产出结构的建议。

全球价值链的价值位势、嵌入强度与中国装备制造业研发效率——基于SFA和研发两阶段视角的实证研究

本文基于SFA方法进行实证研究,分析揭示中国装备制造业研发两阶段效率现状及其演进规律,以及GVC价值位势和嵌入强度等因素对产业研发两阶段效率的作用强度和影响方向.研究发现:中国装备制造业的研发直接产出效率大于研发成果经济转化效率;GVC价值位势对产业研发两阶段效率具有显著正向影响;GVC嵌入强度对产业研发直接产出效率具有负向影响,而对研发成果经济转化效率具有正向影响;研发人力资源质量和资金投入量等投入因素对产业研发两阶段效率均具有正向影响.基于此,提出了相应的策略建议.

我国通用制造业企业规模效益的DEA分析

DEA是对资源配置有效性进行分析的工具,利用DEA方法对我国通用制造业企业规模排名前30名的企业的规模效益进行有效性分析,得到这些企业规模效益的有效状态,为企业改革提供依据。

全球价值链数字化对中国制造业企业国际分工地位的影响

数字技术发展使全球价值链分工体系向数字化重构并深刻影响中国制造业高质量发展。本文基于K-T数理模型分析开放经济条件下数字中间品投入、出口国内增加值与国际分工地位的相互关系,构建全球价值链数字化与企业国际分工地位的理论分析机制。研究发现:全球价值链数字化通过全要素生产率、贸易成本、产品质量和创新能力这4个渠道提升中国制造业企业国际分工地位;全球价值链数字化对资本密集型企业、一般贸易企业及非国有企业的国际分工地位提升效应较强;全球价值链数字化对知识产权保护较好且研发投入较多地区的企业国际分工地位提升效应较显著。因此,建议从加大国内数字技术研发力度、采用差异化战略引导及加强数字技术知识产权保护等方面激发企业参与全球价值链数字化分工活力,提升企业国际竞争力,促进中国制造业高质量发展。

中国制造业高端嵌入全球价值链的过程中是否存在信息技术生产率悖论

数字技术已成为助推制造业转型升级的重要动力,中国制造业如何实现全球价值链的位置攀升是推动制造业转型升级、提高制造业经济利益的重要议题。数字技术分别在价值网络、生态网络、技术网络和个性网络实现制造业价值链、供应链、创新链和服务链的高端攀升,但数字技术能否突破传统意义上的生产率悖论提高全要素生产率,并最终成为推动中国制造业高端嵌入全球价值链的引擎值得进一步探究。基于UIBE GVC的数据实证分析发现,数字技术对中国制造业高端嵌入全球价值链有明显的促进作用;行业异质性分析发现,数字技术对中国制造业的技术密集型、劳动力密集型和资本密集型行业促进作用均显著,且在资本密集型行业中,数字技术赋能制造业全球价值链提升的正向效应最强。面对中国制造业数字化转型过程中的瓶颈,要从政府引领、产业创新和企业协同等方面共同促进中国制造业全球价值链地位的提升。

数字化对我国制造业全球价值链地位的影响: 理论机理与实证分析

数字化将重构制造业劳动分工和价值体系,是制造业转型升级和向价值链中高端攀升的重要手段。本文建立测度指标并用熵权法测算我国各省份制造业的数字化水平,以出口技术复杂度与出口国内增加值率二者乘积的双重视角测算各省份制造业的全球价值链地位,以地区发展水平、出口贸易水平、人力资本水平、对外直接投资为控制变量,以产业结构升级、制造业生产率、低技能劳动力为中介效应变量,构建以制造业全球价值链地位为被解释变量、以制造业数字化水平为解释变量的固定效应模型和中介效应模型,实证测算和分析数字化对我国制造业全球价值链地位的影响。结果显示,数字化能够促进制造业全球价值链地位提升,且这种促进作用长期比短期更显著,即存在一定的滞后效应;数字化对我国制造业全球价值链地位的影响存在区域和数字化要素的异质性,即东部地区的正向促进效果最显著,而中、西部地区的正向促进效果不显著,数字化环境的影响效应最大,数字化支撑次之,数字化成果影响效应最弱;数字化转型通过产业结构升级、替代低技能劳动力两种途径促进制造业全球价值链地位升级,而生产率提升不存在中介作用。