Industrial Cluster Innovation Research Articles

The Impact of Global Value Chain Position on Emerging Industrial Cluster Innovation Efficiency in China

The Impact of Global Value Chain Position on Emerging Industrial Cluster Innovation Efficiency in China

Path to sustainable development: The effect of China's innovative industrial clusters pilot policy on prefecture-level cities' green total factor productivity

To enhance industrial production efficiency and promote sustainable social development, the Chinese Ministry of Science and Technology announced the innovative industrial clusters pilot (IICP) policy and named three batches of pilot cities in 2013, 2014, and 2017. Whether this significant industrial policy has promoted green total factor productivity (GTFP) is a meaningful but under investigated question in the literature. This study thus explores the above question using a multiperiod spatial difference-in-differences approach and panel data from 273 prefecture-level cities covering 2007–2021. The super slacks based measure and Dagum Gini coefficient are first utilized to assess city-level GTFP and evaluate its spatiotemporal evolutionary features. The intraregional and interregional differences of GTFP reveal expanding trends, with contribution rates to the overall difference above 30%. Benchmark and robustness tests demonstrate promotional direct and spatial spillover effects of the IICP on GTFP. We also employ several additional tests for deeper exploration, determining that a) the direct effect of IICP gradually increases over time, with an evident a time-lag effect, and the positive spatial spillover effect has fluctuated since the policy was enforced; b) the heterogeneity effects of the IICP on GTFP was detected; c) green scientific and technological innovation is an important mechanism of how IICP implementation affects cities' GTFP; and d) the promotional effect of the IICP on GTFP significantly increases when industrial structure upgrading exceeds certain threshold values. The empirical findings of this study not only provide theoretical and practical recommendations for Chinese policymakers to enhance the IICP's policy effect, but also offer suggestions for other emerging markets to develop similar policies for sustainable social development.

Can innovative industrial clusters enhance urban economic resilience? A quasi-natural experiment based on an innovative pilot policy

Using data for 285 cities in China spanning the period from 2010 to 2019, we investigate the overall effect, heterogeneity, and mechanisms of industrial cluster development on urban economic resilience using the staggered difference-in-differences method (DID). Our study shows that innovative industrial clusters can improve local urban economic resilience and offer a cumulative learning effect, but increase economic vulnerability in neighboring cities. A heterogeneity analysis finds that piloting innovative industrial clusters has a more significant influence on economic resilience in more mature clusters, middle-labor-scale cities, areas with moderate economic development, and regions applying more artificial intelligence (AI) technology. An influencing mechanism analysis shows that piloting innovative industrial clusters mainly appears as a scale effect in the earlier stage of green finance development, while there is a network effect in the later stage, both of which promote economic resilience. This conclusion may serve as the foundation for more secure and sustainable growth in the global economy.

Will technological innovation uncertainty affect the distribution of benefits from low‐carbon innovation activities in industrial clusters?—A study based on gray Shapley values

AbstractTechnological innovation of industrial cluster is an important measure to realize low‐carbon development. However, the uncertainty associated with new technologies can have a significant impact on the earnings of enterprises. This paper examines the benefit distribution of collaborative technological innovation in industrial clusters through the gray Shapley value, which makes up for the problem that existing research ignores the impact of the uncertainty of technological innovation on the distribution of benefits and provides a new research perspective. In addition, this paper also provides some countermeasures for the Chinese government to encourage enterprises in industrial clusters carry out low‐carbon innovation activities.

НАПРАВЛЕНИЯ СОВЕРШЕНСТВОВАНИЯ ИННОВАЦИОННОГО РАЗВИТИЯ ОТЕЧЕСТВЕННОЙ ЭКОНОМИЧЕСКОЙ СИСТЕМЫ

The purpose of the article is to systematize the problems and develop recommendations for improving the innovative development of the economic system of the Russian Federation. The main objectives of the article are: clarification of the content of the concept of “innovative development of the economic system”; systematization of the problems of innovative development of the economic system of the Russian Federation; formation of recommendations for improving the innovative development of the economic system of the Russian Federation. Methodology. The methodological basis of the article is the dialectical method of studying trends and problems of innovative development and a systematic approach. In the process of writing the article, such research methods as analysis, synthesis, induction, deduction, analysis of normative legal acts and statistical information were used, correlation and regression. Results. We have systematized the main institutional, organizational, financial, analytical and methodological problems of ensuring the effectiveness of innovative development of the modern economy of the Russian Federation. Based on the functional analysis, insufficient efficiency of investments in innovations in the economy of the Russian Federation 2012-2023 was revealed. Recommendations have been developed on the formation of a comprehensive federal program to enhance the innovative development of the Russian Federation (for example, for the period up to 2030), which would include measures to tax incentives for innovatively active companies, administrative impact in terms of enhancing the involvement of domestic banks and insurance organizations in innovative processes, measures to intensify the processes of formation, development and improvement of national, regional and local innovative industrial and other industry clusters, to develop mutually beneficial international transfer of advanced technologies with friendly countries.

Goal Setting in Developing Innovative Industrial Clusters

Goal Setting in Developing Innovative Industrial Clusters

Classifying Development Tasks for Innovative Industrial Clusters in Regional Innovation Systems

Classifying Development Tasks for Innovative Industrial Clusters in Regional Innovation Systems

Retracted: The Impact of Innovative Industrial Cluster Policy on Regional Innovation: Evidence from a Quasi-Natural Experiment in China

Retracted: The Impact of Innovative Industrial Cluster Policy on Regional Innovation: Evidence from a Quasi-Natural Experiment in China

Inter-firm coopetition and innovation in industrial clusters: the role of institutional support

PurposeInnovativeness is crucial for industrial cluster firms to gain sustained competitive advantage. This study aims to investigate the effects of inter-firm coopetition on firm innovativeness within a cluster and examines the moderating role of institutional support.Design/methodology/approachThis research adopts an empirical survey method using multi-source data from 181 industrial cluster firms. Regression is used to test the hypotheses of this study.FindingsThe results show that cooperation and constructive conflict promote firm innovativeness, while destructive conflict is detrimental to firm innovativeness. Moreover, the study also finds that cooperation interacts with both types of conflict to affect firm innovativeness, where cooperation and constructive conflict interact negatively on firm innovativeness, while cooperation and destructive conflict interact positively on firm innovativeness. In addition, institutional support weakens the effects of cooperation and destructive conflict on innovativeness, respectively, but has no significant moderating effect on the relationship between constructive conflict and innovativeness.Originality/valueThese findings enrich the current research on coopetition. The interaction effects of cooperation and both types of conflict on innovativeness deepen the concept of coopetition and responds to the call to further explore the interaction effects within coopetition. The moderating role of institutional support fills a gap in the empirical research on the role of institutional factors affecting coopetition on innovation and also provides valuable suggestions for firm managers and governments in industrial clusters.

Economic assessment of the present state of cluster formation in Azerbaijani oil and gas companies

Clusters attach great importance to supporting the activities of business entities in various sectors of the economy, as well as accelerating their development, economic and social development of regions throughout the country, modernization of the infrastructure base of the economy. Observation of the processes of economic development taking place in the countries of the world shows that in order to ensure high economic development, competitive sectors of the economy, a system of enterprises producing large volumes of exportoriented products, comprehensive economic development is of paramount importance. In general, at present the role of optimal models of economic development in the rise of developed countries to this level is great, and it is in these processes that the institution of the cluster is of paramount importance. Keywords: clustering; innovative models of clusters; innovative industrial cluster; fuel and energy complex; infrastructure of the economy.

Focus on Multi-Dimensional Integration of Wuxi Modern Industrial Cluster Innovation and Development Model

Wuxi, located in the center of the Yangtze River Delta, is an important part of the Suzhou-wuxi-changzhou metropolitan area and a typical representative of the southern Jiangsu model of China's regional economy, wuxi, which is in the transition period of economic structure, can rank the top of the per capita GDP of the central cities in China, and has its own unique modern industrial cluster development model. Based on a large number of on-the-spot investigation and research, this paper analyzes the basic advantages, main characteristics, industrial structure transformation and development layout of modern industrial cluster in Wuxi, this paper makes a systematic analysis and induction of the important supporting and ensuring factors that constitute the modern industrial system with Wuxi characteristics and the layout of innovative industrial structure, it is intended to reveal the development process, the reality, the basic characteristics and the advanced experience of the southern Jiangsu model in order to obtain the necessary enlightenment and reference. At the same time, put forward the existing problems and suggestions.

Применение методологии стратегирования в процессе трансформации системы инновационных промышленных кластеров

Each innovative industrial cluster is a complex hierarchical system. To study its methodology, scientists have to investigate the movement of each structural element towards common strategic goals. Philosophy gives the theory of strategizing a harmonious development. Strategists rely on philosophers in their search for the most effective research methods. Philosophers answer the questions about the role man in the world and the way people transform the natural, economic, and social reality. An effective strategy for an innovative industrial cluster should rely on a balanced approach in order to improve the quality of life and achieve the national technological sovereignty. To strategize an industrial cluster, one needs to analyze resource availability and competitive advantages, define strategic priorities and goals, develop infrastructure, consolidate participants based on common strategic goals, etc. The paper describes research methods aimed at effective cluster strategizing, including the development, creation, dissemination, and introduction of innovations into the production process. The basic principles of the strategic decision-making system are aimed at successful innovative industrial cluster enterprises that provide rational use of innovative potential and multiply in the long run. The systematic strategic approach to financial investments is a key condition for innovation clustering during the emergency period. This decision-making system for strategic investment can help managers of an innovative industrial cluster to achieve strategic goals, maximize profitability, and secure long-term success, provided that the strategy is implemented consistently and fully.

Research on Influencing Factors of Technological Innovation in Industrial Clusters Based on Data Mining and Artificial Intelligence Technology

At present, realizing the upgrading and sustainable development of industrial clusters has become an urgent problem. Based on this, based on data mining and artificial intelligence technology, this paper combines the actual needs of industrial clusters and technological innovation to construct an analysis model of the influencing factors of technological innovation in industrial clusters. Based on the complex network foundation, this paper regards the activity of the innovation network as the result of the joint influence of the presence index, closeness index, betweenness index, agglomeration index and path length index. Moreover, this paper combines the actual situation of the cluster to construct an evaluation system for the activity of the innovation network. In addition, this paper uses the PROMETHEE method based on the cloud model to evaluate the activity of the innovative network to be studied in this paper. Finally, this paper designs experiments to verify the performance of the algorithm model constructed in this paper. The research results show that the system model constructed in this paper has a certain effect.

Evolution of innovation networks in industrial clusters and multidimensional proximity: A case of Chinese cultural clusters

The innovation and optimization of cultural industry clusters is important to the promotion of economic structural transformation and high-quality development. Taking 31 provinces (municipalities directly under the Central Government and autonomous regions in China) as the research object, the cross-sectional data included the number of joint patent applications for culture and related industries among provinces (regions) in 2014, 2016, 2018 and 2020. Then, the cluster innovation network was constructed using social network analysis (SNA) based on scientific identification of cultural industry clusters. This new cluster innovation network structure and its spatial evolution characteristics are accessible with the help of UCINet and ArcGIS tools. Finally, the multiple regression-quadratic assignment procedure (MR-QAP) method is used to determine the influence of geographical proximity, technological proximity, and social proximity on the evolution pattern of the cultural industry cluster innovation network. The results of the study are important for improving the efficiency of national cultural industry innovation and promoting regional synergistic development.

Crossing the valley of death: Network structure, government subsidies and innovation diffusion of industrial clusters

To successfully cross the “valley of death” between source innovation and industrialization requires two-way efforts of technological innovation and innovative achievement transformation, which is a socialization process of innovation adoption and diffusion. Industrial clusters are the effective organizational carriers for the diffusion of innovation achievements, therefore, the research aims to explore the transformation mechanism of scientific and technological achievements in industrial clusters, especially considering the influence of network structure and government subsidies in helping industrial clusters to cross the valley of death and improve the efficiency of scientific and technological achievements transformation, so as to put forward targeted transformation countermeasures. Accordingly, a “two-stage and double-driving” innovation diffusion dynamics model was built and applied to the empirical research on China's blockchain industrial cluster by network analysis and system dynamics. It is found that government subsidies play a crucial role in the innovation adoption stage, especially for high innovative industrial clusters. In addition, there is an adoption threshold for the utility of government subsidies, and a reasonable exit mechanism should be established when adoption rates reach a certain proportion. However, for the low innovative industrial clusters, government subsidies continue to be effective. On the contrary, internal factors play a vital role in the stage of innovation diffusion, especially for industrial clusters that have developed close cooperation between upstream and downstream. This study provides the following policy implications for industrial clusters to overcome the valley of death, including carrying out classified guidance and precise implementation, appropriate subsidies and reasonable withdrawal, and improving the cultivation mechanism of “opinion leaders” enterprises.

Study and assessment of the structural capital of an innovation industrial cluster

Study and assessment of the structural capital of an innovation industrial cluster

Connected knowledge spillovers, technological cluster innovation and efficient industrial structure

In the context of China's knowledge economy, cluster-based technological innovation can promote the communication of knowledge among industries, advancing the industrial structure. This study constructs the Ricardian model with the differences in productivity between different sectors to explore the mechanism of connected knowledge spillovers of technological cluster innovation driving efficient industrial structure, applying a spatial Durbin model to Chinese provincial panel data from 2003 to 2017 to analyze spatial effects. The results demonstrate a significant positive correlation between regional efficient industrial structure and technological cluster innovation under connected knowledge spillovers. These effects increase sequentially from the perspectives of the technology introduction, technology upgrade and independent innovation. Moreover, technological cluster innovation exhibits a significant backwash effect, negatively influencing the efficient industrial structure of neighboring areas. Finally, the study discusses some policy recommendations on optimizing the regional technological innovation environment.

Research on innovation features and optimization strategies of industrial clusters from the perspective of TLCN

PurposeThe focus of industrial cluster innovation lies in the cooperation between enterprises and universities/scientific research institutes to make a theoretical breakthrough in the system and mechanism of industrial cluster network. Under the theoretical framework of cluster network, industrial structure can be optimized and upgraded, and enterprise benefit can be improved. Facing the increasing proliferation and multi-structured enterprise data, how to obtain potential and high-quality innovation features will determine the ability of industrial cluster network innovation, as well as the paper aims to discuss these issues.Design/methodology/approachBased on complex network theory and machine learning method, this paper constructs the structure of “three-layer coupling network” (TLCN), predicts the innovation features of industrial clusters and focuses on the theoretical basis of industrial cluster network innovation model. This paper comprehensively uses intelligent information processing technologies such as network parameters and neural network to predict and analyze the industrial cluster data.FindingsFrom the analysis of the experimental results, the authors obtain five innovative features (policy strength, cooperation, research and development investment, centrality and geographical position) that help to improve the ability of industrial clusters, and give corresponding optimization strategy suggestions according to the result analysis.Originality/valueBuilding a TLCN structure of industrial clusters. Exploring the innovation features of industrial clusters. Establishing the analysis paradigm of machine learning method to predict the innovation features of industrial clusters.

Intelligent information flow management system in innovative scientific and industrial clusters

One of modern industrial systems key features is the special role of information in their creation and operation. On the one hand, being a source of innovative ideas, it stimulates the transformation of production processes in a strategic perspective, on the other hand – it significantly expands capabilities of individual enterprises. Implementation of information interaction are currently carried out using IPv4 streaming, which is a common and traditional way of communicating distributed devices. However, this protocol has a number of critical vulnerabilities. To solve this problem, the multiplatform information flow management system for industrial enterprises devices based on neural network data addressing version 6 of the IP protocol was developed.

Innovative Industrial Clusters in the Context of Digitalization and Sustainable Competitiveness

To ensure Russia's sustainable competitiveness, it is necessary to create an infrastructure that allows creating globally competitive technologies and products. The authors suggest that industrial clusters can drive the country’s sustainable economic and innovative development. The research methodology is based on the content of the concept of sustainable competitiveness and cluster theory. The study was carried out using the methods of regression analysis. The systematization of foreign and Russian researchers’ ideas contribute to the conclusion that the cluster approach for ensuring sustainable development and competitiveness in the digital era is regarded as absolutely reasonable. In order to test the hypothesis of the study using regression analysis, a model has been built to assess the dependence and influence of the number of clusters in Russia Federal Districts on the main indicators of economic innovative development of these territories. The regression models constructed by the authors demonstrate a clear dependence of region economic and innovative development indicators on the clustering level. The authors of the present research recognize that clustering should be considered one of the basic elements in the system of national and regional sustainable competitiveness.