Development Of Industrial Clusters Research Articles

Environment Protection and Regulations in Industrial Cluster (IC) Development - A Case in Hanoi Vietnam

Production and business establishments in industrial clusters (CCNs) have opportunities and conditions to increase productivity and reduce costs through taking advantage of geographical proximity. At present, some CCNs and the majority of CCNs are established and developed on the basis of value chain of production and product supply. Therefore, CCN has promoted cooperation, association and increased competitiveness of production and business establishments in the cluster. According to Michael Porter, CCNs have the potential to affect competition in three ways: i) By increasing the efficiency of firms in the Cluster; ii) By regulating innovation in the region; iii) By encouraging businesses in the area. Therefore, CCN is the nucleus that promotes regional and local socio-economic development.

ОРГАНИЗАЦИЯ И УПРАВЛЕНИЕ РАЗВИТИЕМ ПРОМЫШЛЕННЫХ КЛАСТЕРОВ В УСЛОВИЯХ ЦИФРОВОЙ ЭКОНОМИКИ

The article discusses the current problems of the digital potential of industrial enterprises in conditions of limited resources, and ways to solve them through the organization and management of the development of industrial clusters. Attention is focused on the need to create conditions for the formation and development of the potential of industrial clusters in the modern conditions of the digital economy.

The Global Innovation Clusters: Canadian Experience of Public-Private Partnership

Purpose of the article is the research of the modern trends of global innovation clusters development in Canada that based on public-private partnership model, and to identify their features during last years. The hypothesis is that it is possible to formulate the hypothesis that at the postwar period, Ukraine would form a new innovation strategy that will push country to become global competitively and innovatively. The methods of scientific research were applied to research the global innovation system of Canada and the development of Canada's superclusters: theoretical generalization, empirical method and methods of statistical analysis. The supercluster is a new initiative promoted by the Canadian federal government to strengthen Canada’s most promising clusters and allow innovative firms to operate more productively in sourcing inputs and accessing information, knowledge, and technology. The Innovation superclusters have many positive characteristics as a new framework to rethink Canada’s innovation strategy based on public-private partnership model. The specific measures for development of industrial clusters in Ukraine at the postwar period, and elaboration of national strategy for the development of innovation system in Ukraine can be research objects in future research.

Logistic Network Construction and Economic Linkage Development in the Guangdong-Hong Kong-Macao Greater Bay Area: An Analysis Based on Spatial Perspective

Regional logistic networks and linking urban clusters to boost high quality economic development are both key topics in sustainable development in China. In recent years, China has highlighted the significance of the logistics industry and urban cluster development, attaching practical importance to the connections between these two topics from a spatial perspective. This paper aims to discuss how regional logistic networks linking urban clusters improve economic development. This study constructs a logistic evaluation indicator system based on the multi-indicator data of 11 cities in the Guangdong-Hong Kong-Macao Greater Bay Area in 2020. This research employs the entropy-weighted-TOPSIS method to measure and rank the comprehensive logistics quality of each city in the economically linked logistic network of the Guangdong-Hong Kong-Macao Greater Bay Area. This study applies the modified gravity model to explore the logistics linkage and logistic network characteristics of each city in the Guangdong-Hong Kong-Macao Greater Bay Area. Finally, this research analyzes how the agglomeration ability of the central cities in the Guangdong-Hong Kong-Macao Greater Bay Area affects other cities from a spatial perspective. Furthermore, this spatial perspective investigates the agglomeration effect of the economic linkage logistic network through the social network analysis method. The results have the following three implications. (1) The logistic network has a high density, a stable overall structure with a strong agglomeration effect, and there is an increasingly mature logistic network development in the Guangdong-Hong Kong-Macao Greater Bay Area in the Bay Area. (2) Agglomeration is significant in the central cities of the Guangdong-Hong Kong-Macao Greater Bay Area including Hong Kong, Shenzhen, Guangzhou, and Macao. Nonetheless, insufficient peripheral cities have been cultivated. Therefore, the government should focus on strengthening the balance of urban development in the bay area and improving the logistics access among cities to break through the barriers of regional synergistic development. (3) The economic development of cities is highly correlated with the level of logistics links. Additionally, the economy is the cornerstone to promoting the high-quality development of the logistics industry. Moreover, the economy and logistics are inseparable, mutually promoted, and developed together.

Research on the coordinated development of underdeveloped regional economy and regional high-tech industrial clusters based on the CRITIC model

This paper selects the order parameters of 11 regional economic subsystems that reflect economic structure, economic aggregate and economic benefits from the perspective of system analysis, and reflects development level and economic strength. And the order parameters of the 12 regional high-tech industrial cluster subsystems of innovation ability, and the method of measuring the order parameters of the system synergy degree is applied. Based on the Criteria Importance Through Intercriteria Correlation (CRITIC) fixed-weight model, a synergy evaluation system of regional economy and regional high-tech industrial clusters is constructed, and finally, an empirical analysis is carried out with Jilin Province, China. The results show that the overall change trend of the synergy degree of the composite system of the regional economy and regional high-tech industrial clusters in Jilin Province can be divided into four stages, and presents an M-shaped development trend of alternating increase and decrease. The development of enterprises in the high-tech zone is not obvious, but the feedback effect of enterprises in the high-tech zone on the regional economy is not obvious. This paper not only fills the research gap on the coordinated development of regional economy and regional high-tech industrial clusters in China's underdeveloped regions in terms of content, but also selects the CRITIC weighting method in terms of methods to accurately define the weights of each indicator.

Industry Linkage and Spatial Co-Evolution Characteristics of Industrial Clusters Based on Natural Semantics—Taking the Electronic Information Industry Cluster in the Pearl River Delta as an Example

Identifying industrial clusters and the changes in the spatial representation of these clusters is a basic but challenging issue for understanding and promoting urban and regional development. However, the current evolution characteristics of industrial clusters pay too much attention to the spatial perspective, and some studies analyze the evolution of industrial clusters from the perspective of industrial linkages. It is very important to combine industrial linkages and spatial agglomeration to observe the evolution of industrial clusters. To solve this problem, based on the enterprise big data from 1984 to 2019, this study uses the method based on natural semantics and spatial collaborative aggregation to identify industrial linkages and spatial aggregation of industrial clusters, and takes the electronic information industry cluster in the Pearl River Delta (PRD) region as an example for empirical research. It can be seen from the results that most of the industries in the PRD cluster remain stable, and the industrial linkages and spatial agglomeration within the cluster are increasing. From the overall type of change, fewer industries can maintain high linkage–high proximity, and most industries are mainly concentrated in low linkage–high proximity. Through the combination of semantic and spatial synergy analysis, this study helps urban planners and policymakers understand the changes in industrial linkages and spatial agglomeration of industrial clusters.

The Modal Analysis of Multifactor Coupling of Regional Industrial Innovation

In order to maintain the sustainable development of resource-based industrial clusters, research on the coupling relationship between resource-based industrial clusters and regional innovation networks is proposed. Combined with the historical data of 11 typical resource-based cities from 2013 to 2021, the grey relational model is used to measure the correlation between resource-based clusters and regional innovation networks. And the concept of capacity coupling and the capacity coupling coefficient model in physics is used as a reference to obtain the coupling degree model of resource-based industrial clusters and regional innovation networks. The coupling degree model is used to measure the coupling degree of the two, and a reasonable analysis is carried out on the result of the measurement. The results show that there is a correlation between resource-based industrial clusters and regional innovation networks. And the correlation between the two is above 0.65, indicating a strong correlation. The coupling between resource-based industrial clusters and regional innovation networks has entered the subsequent high-level coupling stage from the run-in coupling stage that began in 2013 and continues to maintain a high-level coupling. It is pointed out that cluster governance plans should be formulated according to regional differences and local conditions, so as to guide the transformation and upgrading of resource-based industrial clusters and to avoid the negative impact on the regional economy due to resource exhaustion.

Missing Policy for Supporting Cultural Heritage Preservation of Batik Industry Clusters in Barlingmascakeb Region, Indonesia

The emergence of ‘new’ batik industry clusters in the Java mainland in the early 2000s has raised inquiries towards the interplay between indigenous business formation and government intervention. Following the historical trajectories, the batik industry has performed an intergenerational family business model by forwarding long-standing local genius in local development. However, top-down government intervention has also taken a key role in driving the local batik industry. Batik industry clusters in Barlingmascakeb Region may perform differently. This study focuses on scrutinizing how their persistence may contribute to local development where either the tradition root or policy support is missing. A mixed-method approach with sequential strategy was used by conducting case study analysis of the key informants and statistical analysis on the development of batik industry clusters in situ. The results show that their persistence is mostly encouraged by opportunistic trading businesses with little multiplier effects to local development. The local government policy merely serves a program matching instead of promoting the so-called cultural heritage preservation. As a result, the localized cultural identity brought by the batik industry clusters is unrecognizable and leaving profit-taking of the batik trading at the place.

Research on the Development of New Energy Automobile Industry Cluster in Anhui Province from SWOT Perspective

The development of new energy vehicle industry cluster has become an inevitable trend of the development of China's new energy vehicle industry. Anhui province should seize the historical opportunity of the great development of new energy vehicle industry and promote the development of Anhui new energy vehicle industry cluster.On the basis of the development status of new energy automobile industry in Anhui province, through SWOT analysis, the development of new energy automobile industry cluster, the research found that in Anhui province, policy, market and talent advantages, there are certain opportunities in new energy vehicle demand and oil prices, but in technology, infrastructure and regulatory disadvantages, and competition threats from external new energy automobile enterprises.Then, the SO strategy analysis, WO strategy analysis, W O strategy analysis and WT strategy analysis were analyzed with the SWOT matrix.In addition, suggestions are put forward on how to overcome the competitive threat from internationally famous new energy vehicle enterprises and reduce the disadvantages in technology, infrastructure and supervision in the development of Anhui New energy vehicle industry cluster, in order to provide reference and thinking for the development of Anhui new energy vehicle industry cluster.

High-Quality Development of Ceramic Industry Clusters in Guangdong-Hong Kong-Macao Greater Bay Area Based on Green Innovation

In the past ten years, the ceramic industry which, belongs to the manufacturing industry, has formed an industrial cluster advantage in the Guangdong-Hong Kong-Macao Greater Bay Area in China. However, the continuous economic downturn in the international market, coupled with anti-dumping and other trade barriers, and the domestic overcapacity and environmental pollution pressure has impeded the export of ceramic industry products. The internal and external problems are restricting the improvement of green innovation performance of the ceramic industry cluster in the Guangdong-Hong Kong-Macao Greater Bay Area under the high-quality development. This project divides green innovation into several stages and levels for analysis, and establishes an evaluation index system in three dimensions: green economic benefits, technological innovation, and green development. Data on the factors affecting the high-quality development of the ceramic industry in the Guangdong-Hong Kong-Macao Greater Bay Area were extracted from databases such as CSMAR, WIND, RESSET, and CCER, followed by empirical tests. Finally, the specific improvement path for the high-quality development of the ceramic industry in the Guangdong-Hong Kong-Macao Greater Bay Area is obtained, and lastly the policy recommendations is proposed in the paper.

Study on Coordinated Development Path of Agricultural Industrial Clusters and Rural E-commerce

Industrial cluster effect is one of the main driving forces of agricultural development in China. Good agricultural industrial foundation provides necessary advantages and potential for the development of rural e-commerce, and the vigorous development of e-commerce in rural areas in China can better drive the enhancement of agglomeration and innovation ability of agricultural industrial clusters in China. The two interact with each other. In the context of "Internet plus", this paper takes the township construction with Chinese characteristics as the foothold and establishes a theoretical framework for the development and cooperation of agricultural industrial clusters from the aspects of product integration from the perspective of e-commerce. This is conducive to improving the mechanism of market and government, so as to create a benign environment for industrial development.

Characteristics and Determinants of China's Ice-and-Snow Tourism Industrial Cluster

Ice-and-snow tourism (IST) is a booming industry, and the development of its industrial clusters reflects its regional development quality. Taking 1985–2021 data for China's IST enterprises, this study used industrial cluster identification and industrial correlation analysis to explore the development of IST industrial clusters. The following results were obtained: (1) China's IST initially formed hotspot industrial clusters in Beijing-Tianjin-Hebei, the Northeast, the Yangtze River Delta, the Pearl River Delta, Chengdu-Chongqing, and Xinjiang regions. (2) Multiple industry forms failed to become deeply integrated into development, indicating a need to optimize the structure of the IST industrial chain. (3) The development environment of IST industrial clusters in each province showed differentiated characteristics. (4) IST industrial clustering was affected by both internal and external factors. External factors were grouped into climate and ice-and-snow resources, government policies and sports events, and economic fundamentals and market conditions. Internal factors included industrial association and industrial integration in the IST industrial cluster. Based on this study's identification of the characteristics of China's IST industrial clusters, countermeasures are proposed for their optimal development.

Water Quality Assessment of Surface Water at the Urban Area of An Giang Province, Vietnam

The development of residential areas in the trend of urbanization and the development of industrial parks and clusters have caused risks to reduce the surface water quality of the Mekong River in An Giang province. This study was conducted by sampling surface water affected by urban areas and affected by industrial parks/clusters (seven sampling points) in June 2021 and analyzing the parameters of temperature, pH, DO, TSS, COD, BOD5, N-NO3-, N-NH4+, P-PO43-, Coliform, As, Pb, Hg, Benzene hexachloride, Dieldrin. The analytical results of water samples were compared with the National Technical Regulation of Vietnam. The water quality index was calculated according to the technical guidelines of the Vietnam Environment Administration (VN_WQI). The results show that domestic and industrial wastewater has polluted the surface water of the Tien River and the Hau River, two important rivers of the downstream Mekong River, flowing through An Giang province. The pollution shows in parameters of TSS, DO, BOD5, COD, N-NH4+, and Coliform that exceeds allowable limits. However, other parameters such as temperature, pH, N-NO3-, P-PO43- are mostly at the acceptable range and within allowable limits. Based on the WQI, most of the water quality at the sampling points is poor. Therefore, it is recommended that people not directly use the Tien River and Hau River water in An Giang for drinking and domestic purposes. It is necessary to apply appropriate water treatment measures. In the coming time, authorities need to monitor and take appropriate measures to treat and manage wastewater from urban areas and industrial parks/clusters.

Pathway of Building SMEs Performance in Cluster through Innovation Capability

The purpose of this study is to investigate the impact of business strategies and social capital on the performance of small and medium-sized firms (SMEs) that operate in small industry clusters. An emphasis is placed on examining the function of innovation capability in mediating this interaction. Data was acquired by sending questionnaires to various clusters in East Java, Indonesia, utilizing multi-stage sampling. The study then found 98 SME owners who had completed all of the surveys. The Partial Least Square approach was then utilized to evaluate the hypotheses using SmartPLS. The findings show that business strategies have no direct impact on performance. The impact of business strategy on performance appears to be mediated by innovation capabilities. On the other hand, social capital, as measured by bridging and linking social capital, has a direct impact on firm performance. As a result, this study suggests that SMEs improve their performance through increasing cluster social capital and increasing innovation capability. We recommend further research to replicate this study on large industry clusters. It is expected that the interplay between business strategies and social capital to performance will explain different result for the development of industry clusters.

Analysis of the Current Situation and Countermeasures for the Development of Shandong Rongcheng Kelp Industry Cluster

Rongcheng is a natural kelp production base due to its unique geographical environment and climatic advantages. Since the 1930s, the Rongcheng kelp industry has played an important role in the development of the Chinese kelp industry. Rongcheng's kelp output ranked first in China for more than ten years, from 2010 to 2021. Its kelp production accounts for nearly half of total Chinese kelp production. This paper analyzes the current development of the Rongcheng kelp industry cluster from six perspectives: natural environment and resources of kelp farming, supporting infrastructure of kelp farming and processing enterprises, main bodies in Rongcheng kelp industry cluster, relevant assistance of Rongcheng municipal government to kelp industry, development of relevant supporting industries in kelp industry. Then it concludes that there are four problems in the current development stage of Rongcheng kelp industry cluster and the development of Rongcheng kelp industry cluster's domestic and foreign markets. It then concludes that there are four issues in the current development stage of the Rongcheng kelp industry cluster. Based on the analysis of the problems and countermeasures, it is concluded that the current development stage of the Rongcheng kelp industry cluster has four problems: low cluster efficiency, an imperfect market system, a lack of technological innovation, and a weak influence of regional brands. It assists the Rongcheng kelp industry cluster in achieving high-quality development based on an analysis of the problems and countermeasures.

Industrial clusters development and organisation model

Industrial clusters have been a prevalent element of several national competitiveness policies for the last 15 years The author of this paper has followed the birth, organisation and performance of industrial clusters in Slovenia and Austria for the period of three years. Based on several in-depth case studies in Slovenia and Austria I have built a cluster development and organisation model applicable to smaller (transitional) countries. I have identified factors that have an impact on cluster development and organisation at the level of general business environment. At the same time I have identified a government role in fostering clusters. But external factors are not the only factors influencing clusters. There are also internal factors that are in the hands of the cluster actors. These are factors that directly influence cluster development and organisation process. I have classified them in four areas and they will be also presented in this paper. I have also identified four stages of cluster birth, organisation and growth. The model is highly applicable as it combines research results with best practices based on several case studies.

A Study on the Path of Synergistic Development of Cross-border E-commerce and Industrial Clusters in Zhanjiang Comprehensive Pilot Zone in the Context of Digital Economy

A Study on the Path of Synergistic Development of Cross-border E-commerce and Industrial Clusters in Zhanjiang Comprehensive Pilot Zone in the Context of Digital Economy

The Coordinated Development of Secondary Vocational School Specialty Clusters and Industry Clusters: Citing Longgang No.2 Vocational and Technical School of Shenzhen as a Case Study

With the implementation of the state’s Plan of Constructing High-Level Vocational Schools and Specialties with Chinese Characteristics, the construction of specialty clusters has become a hot topic. They are critical tools for improving the educational quality of vocational schools by promoting vocational education transformation, upgrading, and innovation. To maximize the effectiveness of specialty cluster development in secondary vocational school curriculum reform, we must first identify the rationale for multi-agency involvement in the development of specialty clusters and then formulate action plans. This article examines the definitions and connotations of specialty clusters and discusses the contexts in which specialty clusters emerged. It examines strategies for developing specialty clusters using Shenzhen’s Longgang No. 2 Vocational and Technical School as an example.

The Coordinated Development of Secondary Vocational School Specialty Clusters and Industry Clusters: Citing Longgang No.2 Vocational and Technical School of Shenzhen as a Case Study

With the implementation of the state’s Plan of Constructing High-Level Vocational Schools and Specialties with Chinese Characteristics, the construction of specialty clusters has become a hot topic. They are critical tools for improving the educational quality of vocational schools by promoting vocational education transformation, upgrading, and innovation. To maximize the effectiveness of specialty cluster development in secondary vocational school curriculum reform, we must first identify the rationale for multi-agency involvement in the development of specialty clusters and then formulate action plans. This article examines the definitions and connotations of specialty clusters and discusses the contexts in which specialty clusters emerged. It examines strategies for developing specialty clusters using Shenzhen’s Longgang No. 2 Vocational and Technical School as an example.

Research on Innovation Ecosystem of Dairy Industry Cluster Based on Machine Learning and Improved Neural Network.

With the rapid development of global economy, the industrial cluster has become the new trend of world economic development. So far, the industrial cluster mode with space as the main division has been formed. The cooperation of industrial clusters is dynamic. The industries in the cluster cooperate with each other for mutual benefit and win-win, occupying a place in the fierce market competition. In addition, the industrial cluster is also conducive to strengthen the international economic division of labor and points out the direction of regional industrial transfer. China is now in a critical period of economic development; the industrial cluster plays an important role in China's industrial transformation and economic development. At present, the most common regional development mode in China is industrial cluster. The emergence of industrial cluster accelerates the development of industrial regional economy and the balance of industrial layout. Industrial clusters occupy a key position in China's economic industry chain, and the development and change in industrial clusters will directly affect the development of the entire industrial chain. This study first simulates the evolution path of industrial cluster and then establishes the relevant data model. Finally, through repast simulation, it puts forward conclusions and suggestions according to the verification results. The construction of dynamic model can realize the simulation of industrial cluster theory. According to the simulation results, we can find that the ecosystem in different stages will produce different characteristics; the formation and evolution of industrial clusters are actually the epitome of market development. In this process, the government guidance and market regulation are needed to accelerate the formation of industrial cluster ecosystem and increase the scale of industrial cluster.