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1.
新基建作为现代化基础设施体系的重要组成部分,已经成为中国经济高质量发展的重要支撑。基于2015—2021年中国71个城市的面板数据,构建双向固定效应、中介效应和调节效应三种回归模型,实证检验新基建发展对城市产业结构水平的影响及内在机制。研究发现:新基建发展能促进产业高级化水平,改善不合理的产业结构状态,提升产业合理化水平;新基建通过发展物联网和激励城市研发创新两种间接路径对产业结构转型升级产生积极影响;新基建对产业结构水平的影响受到地方政府干预行为的调节作用,在地方政府合理的行政管理下,新基建对产业转型升级的积极作用更为明显;新基建发展对产业结构水平的提升作用具有区域异质性和城市规模异质性,在中西部地区和大城市地区的作用效果更为明显。  相似文献   
2.
Upgrading in global value chains (GVCs) is an important path for developing countries to move along to capture higher benefits. Several qualitative studies of GVCs have identified two main upgrading types: economic (product, process, functional, and inter-sectoral) and social upgrading. The upgrading concept is widespread in productive sectors such as processed food, which has become a key export for developing countries. However, they have confronted multiple product standards required by global buyers. This study uses a case study of Thailand’s processed food exports (TPFEs). Although Thailand is a leading exporter of processed food, the country needs to upgrade in many areas related to production to meet global product standards and requirements. If Thailand fails to comply with global product standards, it will lose its export competitiveness. This study uses a gravity model to evaluate the impact of economic and social upgrading (EUP and SUP) on TPFEs. Our results show that upgrading types are significant in TPFEs, particularly for exports to developed countries. Process upgrading has a negative impact on TPFEs because of increased production costs to comply with product standards. However, process upgrading can lead to increased producers’ and exporters’ knowledge about how to comply with international standards. Consequently, process upgrading exhibits a lagged positive effect on TPFEs.  相似文献   
3.
21 世纪是海洋的世纪,海洋经济在国民经济中起着举足轻重的作用,合理的发展模式对推动海洋产业经济发展尤为重要。本文以增长极理论为指导,采用不平衡发展模式、主成分分析法及聚类分析法对中国海洋产业经济增长极选择进行实证分析,结果表明:中国应以海洋渔业、滨海旅游业及海洋交通运输业作为主导产业进行发展,并确定其海洋产业增长极的地位。以此为契机,本文还进一步分析评价了海洋产业增长极的发展状况,以确定海洋产业发展战略,为中国海洋产业经济增长极的培育及国家海洋产业经济发展提供参考支撑。  相似文献   
4.
Cluster emergence is an important topic but weakly conceptualized in the literature. Focusing on the interaction of the local knowledge pool and firm growth, the paper develops a comprehensive framework to understand cluster emergence. In the framework, the cluster formation process starts with the collision of local and external knowledge which generates an innovation and stimulates the creation of local pioneering firms in a new field. To support the growth of follow-up entrants in the new industry, the local knowledge pool needs to be expanded and deepened through local knowledge sharing and external knowledge inflows. The enlarged local knowledge pool enables local firms to grow and explore other fields further. To promote cluster emergence, public policies need to facilitate the interaction of the local knowledge pool and firm growth. The paper illustrates the interactive framework with two aluminum extrusion clusters in China that emerged in different ways over different time periods.  相似文献   
5.
由于未剔除环境因素和随机误差的影响,运用传统数据包络分析(DEA)和随机前沿分析(SFA)对高技术产业创新效率进行研究,容易引起评价结果误差。采用二者相结合的三阶段DEA模型对高技术产业创新效率及其影响因素进行测度与分析,能够保证评价结果的有效性。研究结果显示:规模效率不足是限制我国高技术产业创新效率提升的关键因素;另外,市场开放度能够显著正向促进高技术产业创新效率提升,而政府资助、地区经济发展和地区竞争不利于创新效率提升。最后,对投入要素与技术效率进行聚类分析,将我国内地28个省市划分为4种创新类型,并〖JP〗提出提升高技术产业创新效率的政策建议。  相似文献   
6.
对API开放银行的国际、国内监管和市场动态开展现实观察,就API开放银行对商业银行数字化转型、生态圈场景建设、平台升级迭代等方面金融科技转型升级的重要影响进行分析阐述,对API开放银行创新发展的制约因素开展深入研究,并总结、提炼出商业银行推进API开放银行创新发展的对策建议。  相似文献   
7.
Credit risk is one of the main risks faced by a bank to provide financial products and services to clients. To evaluate the financial performance of clients, several scoring methodologies have been proposed, which are based mostly on quantitative indicators. This paper highlights the relevance of both quantitative and qualitative features of applicants and proposes a new methodology based on mixed data clustering techniques. Indeed, cluster analysis may prove particularly useful in the estimation of credit risk. Traditionally, clustering concentrates only on quantitative or qualitative data at a time; however, since credit applicants are characterized by mixed personal features, a cluster analysis specific for mixed data can lead to discover particularly informative patterns, estimating the risk associated with credit granting.  相似文献   
8.
质量是引领经济发展的标杆,质量状况决定产业集群升级的基础,质量改进优化产业集群升级的路径,质量提高影响产业集群升级的方式,质量生态系统决定产业集群升级的能力。在质量变革视角下,顺德家电产业集群通过供给侧结构性改革、产业链整合和主攻智能制造升级的路径为:一是由贴牌代工向自主品牌升级;二是由整机生产向全产业链一体化转型;三是由自动化走向智能化。推动家电产业集群升级对我国促进传统产业集群升级有重要启示,通过制造业产业集群质量全面提升以促进我国产业集群全面升级,是助力我国新时代高质量发展的必然选择。  相似文献   
9.
ABSTRACT

A key question for promoting international competition is how to improve the position of countries and industries in global value chains (GVCs). The first step is to properly measure industrial upgrading in GVCs. This is not a trivial issue because upgrading has not been defined unambiguously. Several authors have used different (and sometimes related) measures, all of which indicate certain aspects of upgrading. Rather than trying to find the single, ultimate measure of upgrading, we propose a different approach. We examine the multidimensionality of industrial upgrading, using eight indicators in factor analysis. Four of the eight indicators adopt the GVC perspective and include, for example, the growth of the share in value-added exports. We provide three quantitative dimensions of industrial upgrading: process upgrading, product upgrading, and skill upgrading. With these dimensions, we compare and analyze the upgrading of different countries and industries using the World Input–Output Database.  相似文献   
10.
在复杂动态环境下,知识协同行为(KCB)是产业集群创新(ICI)活动的有力支撑,构建复杂动态环境下产业集群创新中的群体知识协同行为模型具有重要的理论意义和实践价值。在分析复杂动态环境下产业集群创新与群体知识协同行为耦合规律的基础上,构建了复杂动态环境下产业集群创新中的群体与协同行为模型(CDE I KCBM)。与已有研究相比,该模型不仅可以反映随时间不断变化的动态演化规律,也可反映复杂动态环境下产业集群创新和群体知识协同行为的内在关联本质,有助于揭示二者的循环反馈关系。  相似文献   
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