Industry Cluster Research Articles

베트남 메콩델타 지역 농산물 물류센터 추진전략에 관한 연구

Can Tho City, the fifth largest city in Vietnam and located at the hub of the Mekong Delta region, is located 160km west of Ho Chi Minh City, the largest city in Vietnam, and the southern part of the Hasu River, the first tributary of the Mekong River. The area is 1,439 ㎢, and the climate is hot and humid and the topography is flat, making it an environment suitable for agricultural and marine product production. Agricultural products, a major item of Vietnam's primary industry, are a major handling item in the Mekong Delta region, including Can Tho City. In order to determine the direction for the development of logistics development in the Mekong Delta region and Can Tho City, field surveys and detailed data surveys, consultations with related organizations such as Can Tho City, and development experiences and opinions of Korean companies that have entered Vietnam were listened to. As a result, building an Agricultural Products Processing Center (APC) was identified as a priority. As a result of the AHP analysis, in the major categories, ‘securing infrastructure’ was rated as 0.642, which was evaluated as overwhelmingly more important than other items. Next, ‘preparation of government support policy’ was 0.188, and ‘establishment of smart logistics operating system’ was 0.170. In the sub-category of securing major category infrastructure, 'transport network connected to logistics center' was evaluated as 0.383, the most important item, followed by 'storage facility' (0.241), 'gathering and delivery facility' (0.233), and 'support facility' (0.143). Subsequently, based on the results of the AHP survey, this study presented the development strategies for the agricultural logistics center in Can Tho City by dividing it into short-term, mid-term, and long-term. In the short term, it was proposed to focus on building logistics center infrastructure and linked transportation infrastructure, and in the mid term, an efficient system operation plan for agricultural logistics center was suggested. In the long term, support policies for companies using agricultural logistics center and the establishment of food industry clusters in the hinterland were proposed. This study presents a strategy for promoting an agricultural logistics center in Can Tho City, the central city of the Mekong Delta region. It is expected that it will be used as a reference material.

Potentially toxic metals contamination, health risk, and source apportionment in the agricultural soils around industrial areas, Firozabad, Uttar Pradesh, India: a multivariate statistical approach.

Potentially toxic metals (PTMs) contamination in the soil poses a serious danger to people's health by direct or indirect exposure, and generally it occurs by consuming food grown in these soils. The present study assessed the pollution levels and risk to human health upon sustained exposure to PTM concentrations in the area's centuries-old glass industry clusters of the city of Firozabad, Uttar Pradesh, India. Soil sampling (0-15cm) was done in farmers' fields within a 1km radius of six industrial clusters. Various environmental (geo-accumulation index, contamination factor, pollution load index, enrichment factor, and ecological risk index) and health risk indices (hazard quotient, carcinogenic risk) were computed to assess the extent of damage caused to the environment and the threat to human health. Results show that the mean concentrations of Cu (33mgkg-1), Zn (82.5mgkg-1), and Cr (15.3mgkg-1) were at safe levels, whereas the levels of Pb, Ni, and Cd exceeded their respective threshold limits. A majority of samples (88%) showed considerable ecological risk due to the co-contamination of these six PTMs. Health risk assessment indicated tolerable cancer and non-cancer risk in both adults and children for all PTMs, except Ni, where adults were exposed to potential threat of cancer. Pearson's correlation study revealed a significant positive correlation between all six metal pairs and conducting principal component analysis (PCA) confirmed the common source of metal pollution. The PC score ranked different sites from highest to lowest according to PTM loads that help to establish the location of the source. Hierarchical cluster analysis grouped different sites into the same cluster based on similarity in PTMs load, i.e., low, medium, and high.

Life Cycle Analysis of Textile Clusters: The Example of Chinese Textile Enterprises in Zhejiang Province

As modern economy develops, the subjects of market competition are shifting from competition among individual enterprises to production and sales chains of enterprises and other forms of sustainable network interaction. Currently, more significant competition is manifested at the level of industrial clusters. The aim of this article is to study the model of the life cycle of textile industry clusters. The author examines the main schools of the theory of the life cycle of industrial clusters and chooses the theory of five stages of the life cycle of industrial clusters proposed by T. Andersson as the theoretical basis for this article. The textile industry cluster in the Chinese province of Zhejiang, where the largest number of textile enterprises in China is concentrated, was chosen as the object of research. Using the method of identifying the location coefficient based on the public databases of the Chinese Bureau of Statistics and the Bureau of Statistics of Zhejiang Province from 2002 to 2022 to determine the textile industry clusters in Zhejiang Province, the author found that the results calculated by the method of identifying the location coefficient correspond exactly to the five-stage development model of the Andersson cluster. From 2017 to 2020, the development of industrial clusters entered the stage of transformation, and the pace of development slowed down. Facing the risk of recession, with the help of external forces such as government support for industrial policy and internal forces such as technological and market innovations, the textile industry cluster in Zhejiang Province successfully transformed and entered a new life cycle.

The Impact of Industry Clusters on the Performance of High Technology Small and Middle Size Enterprises

Based on the theory of independent innovation and competitive advantage, this paper takes industry cluster as the independent variable, long-term high-technology small and middle size enterprises (high-tech SMEs) performance and short-term high-tech SMEs’ performance as the dependent variable, and introduces independent innovation as the mediator variable to explore the impact of industry cluster on high-tech SMEs’ performance. SPSS22.0 was used to test the reliability and validity of the questionnaire distributed to 310 high-tech SMEs in Sichuan, China. SPSS is used for statistical analysis, integrating data entry, organization, and analysis functions. Its basic functions include data management, statistical analysis, chart analysis, and output management. A confirmatory factor analysis was conducted. Amos 24.0 is the structural equation model analysis software. After using Amos 24.0 to construct the SEM (Structural Equation Modelling) to verify the hypothesis, it was found that industry cluster has a significant positive impact on long-term and short-term high-tech SMEs’ performance, independent innovation has a significant positive impact on long-term and short-term high-tech SMEs’ performance, and independent innovation plays a mediator role in the relationship between industry cluster and high-tech SMEs’ performance. Based on the research results, this paper puts forward the following suggestions: (1) attach importance to independent innovation, introduce relevant technical talents, and improve innovation; and (2) accelerate the formation of clusters to improve the high-tech SMEs’ performance of the whole industry.

Analysis on industry cluster for regional development in a haor region of Bangladesh: A location quotient analysis

Regional development is a complex and dynamic process since each region has its unique characteristics of economic and social structure. The aim of the current study is to identify the leading commodity as well as base and non-base economic sub-sectors in the mostly poor haor region of Bangladesh by introducing location quotient (LQ) analytical technique based on the regional and national level employment data. The analytical results clarified that the agriculture, forestry, and fishing are the leading sub-sectors of the local economy for the regional economic growth. Policy implications are provided based on the analytical results.

Development of Clusters in the Irkutsk Region in the Context of Import Substitution

The Irkutsk Region's economic growth in the context of import substitution requires modernizing industrial policy and developing a cluster system. Clusters can become a major factor of growth in the Irkutsk Region's economy. A cluster involves creating special conditions, assisting in funding and marketing the products of its member organizations. Cluster residents enjoy such benefits as tax preferences, support in the implementation of investment projects, and infrastructure provision in the form of technoparks. Introducing the cluster approach boosts efficiency of production and implementation of import substitution policies. The purpose of this study is to study special features of cluster formation in the Irkutsk region and the specifics of their functioning in the context of import substitution. The article studies the functioning features of the following clusters in the Irkutsk region: machinery, pharmaceutical, petrochemical, construction materials and technologies, Baikal cluster of light industry, agro-industrial, tourist and recreational clusters. The research methodology is based on a theoretical analysis of the main aspects of cluster development. The study analyzes the data on the development of clusters in the Irkutsk region. The problems of cluster development in the context of import substitution are outlined. The scientific novelty lies in identifying two approaches to the formation of clusters: one forming around an anchor resident and the other forming as a tandem of equivalent companies. It is proposed to expand the geography of sales by cluster companies via employment of anchor resident distribution centers in various territories. Interregional cooperation and establishing the Federal Center of Chemistry cluster are closely looked into. The relevance of a timber industry cluster and a cluster for the disposal of municipal solid waste in the Irkutsk region is substantiated.

On Strategic Emerging Industry Cluster Development in Anhui based on the Perspective of Global Value Chain

With the development of economic globalization, the role of strategic emerging industries embedded in global value chains (GVCs) as clusters to actively participate in the global industrial division of labor has become increasingly significant. The present situation and problems of strategic emerging industry clusters in Anhui are analyzed qualitatively from three aspects: dynamic mechanism, development mode and governance mode, and their status in GVC is inferred quantitatively by using GVC index. Secondly, Bengbu silicon-based new materials industry is used as an example for empirical research, and the GEM model and multiple linear regression model are used to build a data evaluation system and analyze the factors affecting the competitiveness of industrial clusters. Finally, we propose a scientific and reasonable upgrading path and policy suggestions based on GVC perspective, which can provide guidance and reference significance for promoting regional industrial economic development.

House of Risk (HOR) Approach to Manage Risk involving Multi-stakeholders: The Case of Automotive Industry Cluster of Multifunctional Rural Mechanized Tool (MRMT)

House of Risk (HOR) Approach to Manage Risk involving Multi-stakeholders: The Case of Automotive Industry Cluster of Multifunctional Rural Mechanized Tool (MRMT)

Analisis Struktur Kinerja Kluster Industri Unggulan Di Kabupaten Sidoarjo

This study discusses the analysis of the power structure of leading industry clusters in Sidoarjo Regency. Sidoarjo Regency is one of the districts in East Java Province that has the potential and success in developing the local economy through the formation of industrial clusters. This study uses descriptive qualitative research methods by collecting secondary data through literature analysis. The results of the analysis show that factors such as superior natural resources, infrastructure availability, labor skills, research and innovation facilities, and government support policies affect the successful formation of leading industrial clusters in Sidoarjo Regency. Industrial clusters increase productivity, efficiency, innovation and commercialization. This study provides an understanding of the characteristics and dynamics of leading industry clusters in Sidoarjo Regency and the factors that influence efficiency. The results of this study can be the basis for further development to optimize the economic potential of the region with the help of industrial clusters.

Cyber security industry clusters

Drıven by national security interests and private sector advocacy, the cybersecurity industry plays an important role in our shared economic and cultural reality. A key premise of this report is that the cybersecurity industry does not emerge in a vacuum, but rather is influenced by the environmental conditions that exist at a particular place and time. Industry can be seen as a manifestation of two broad interactions: industrial clustering processes. Through comprehensive mapping, we show that cybersecurity clusters are layered across large, diverse urban areas, within complex, multimodal transportation networks, with nearby universities, and across household income sectors.

SME upgrading in emerging market clusters: The case of Taiwan’s bicycle industry

Existing arguments on the economic upgrading of small and medium-sized enterprises (SMEs) in emerging markets emphasise the role of multinational enterprises (MNEs) from developed markets in providing the necessary new knowledge based on a top-down logic. Adopting the Taiwanese bicycle industry cluster as a case study, we investigate alternative factors influencing the upgrading of SMEs in emerging markets through vertical and horizontal relationships within global value chains and clusters. The findings show that knowledge exchange and collaboration via horizontal, trust-based linkages between SMEs within a cluster and the development of formal and informal institutions by leading local MNEs are crucial for the upgrading of locally clustered SMEs. We provide typologies for vertical and horizontal interfirm linkages and show how the combination of linkages affects the upgrading of these emerging market SMEs. Our typologies can assist practitioners with identifying options for successful upgrading through strategic engagement and development in interfirm relationships.

Tech firm births and agglomeration economies: (un)related variety, specialization, and spatial externalities

This paper examined the multi-scalar effects of different types of agglomeration economies, namely, specialization, related variety, unrelated variety, and urbanization economies, on tech firm births in Salt Lake County, Utah, U.S. We found that these agglomeration economies affected tech firm births simultaneously, but their spatial externalities differed across various scales. Specialization and related variety operated at all scales including neighborhood scale while urbanization economies only worked at city-wide scale. Unrelated variety did not affect tech firm births at all scales. Specialization externalities appeared more pronounced at neighborhood scale and its spatial scope was larger than that of related variety. These findings partially explain the recent trend of multiscale clusters of the tech industry and suggest that spatial externalities of agglomeration economies should be understood in different types with a multi-scalar framework. Policymakers and urban planners should highlight this to maintain sustainable development and secure urban success. These findings also imply that distinguishing related and unrelated variety is necessary at neighborhood scale and should not be ignored in local development planning.

Innovation priorities for Scotland

The Innovation Strategy will determine priorities for innovation over the next 10 years The strategy builds on a number of existing policies and plans Innovation is a key driver for Scottish economic success Innovation takes place both within industry clusters and between them The public sector has a vital role to play in delivering innovation.

Where Is the Rural Creative Class? A Systematic Literature Review About Creative Industries in Low-Density Areas

AbstractResearch in creative industries is mostly focused on urban and metropolitan areas. However, various authors have approached the creative industries from a regional, rural, or remote point of view. The objective of this study is to map and analyze research on creative industries in low-density areas and to identify the main theories and current and future trends within this theme. For data collection, only articles published in the Web of Science and SCOPUS databases were used, from which a set of 152 documents was obtained. For this study, we used R Bibliometrix software to assist in result analysis and VOSViewer software, to create a reference co-citation’s map, which allowed us to identify three clusters, whose themes we analyzed in detail. The results allowed to show (i) an increase in investigations into creative industries in low-density areas in recent years, (ii) the main journals and authors that have contributed the most to this theme, (iii) the identification of the theories most used in these studies, and (iv) finally, the identification of three clusters: remoteness and place relations with the creative industries (cluster 1), critical perspectives and the spatial distribution of talent (cluster 2), and cultural policies and the genesis of the creative class (cluster 3). This study contributes to mapping and critically summarizing the existing literature linking the creative industries and low-density areas. In addition, the study made it possible to identify current and future trends in order to enhance new lines of investigation.

PECULIARITIES OF THE DEVELOPMENT OF THE TEXTILE INDUSTRY AND CLUSTERING OF ENTERPRISES IN UZBEKISTAN

Functional efficiency of management processes of textile enterprises in the world is based on a sequence of production processes, the organization and management of integrated textile industry clusters, increasing management efficiency based on the use of internal capacity of enterprises, management mechanisms of enterprises included in the cluster, ready-to-eat textile products A number of scientific studies are being conducted to improve the value chain in production, increase the competitiveness of clusters through competitive advantages.

IT-индустрия как фактор развития креативной экономики Республики Крым

The creative economy is built on the IT industry, science, innovation, the Internet as a new technological infrastructure for the economy, knowledge, and intellectual activity. In the Russian Federation, creative industries are rapidly developing. Our country has accumulated vast experience in the innovative transformation of territorial entities, taking into account the existing cultural resource. This direction is followed not only by the regions of post-industrial development but also by other federal entities of the Russian Federation, including the Republic of Crimea. The creative industries are shaped not only by basic activities that form their core but by related activities that have a huge impact on them or are directly dependent on creative industries. One of the key objectives of the Strategy for Social and Economic Development of the Region Until 2030, as part of the creation of a new cultural space, is the formation of creative industry cluster. Currently, in the Republic of Crimea, IT industry products became less accessible due to the sanctions imposed not only against the Russian Federation but also against the region. Another problem hindering the development of the information technology market is insufficient information for population about the possibility of obtaining digital services, what determines the specific features of consumer behavior in the IT technologies environment. Attempts to introduce and spread new digital technologies are not always successful. For example, digital literacy of the population, provision of ICT organizations, creative environment also determine the existing differences. The development of the IT industry in the Republic of Crimea will help level the negative effects of the economic crisis both at the federal and regional levels, creating a multiplier effect on a number of dependent industries.

Stragtegi Pengembangan Klaster Industri Keripik Singkong Di Kabupaten Bojonegoro Menggunakan Metode K-Means Clustering dan Fuzzy AHP

Bojonegoro Regency has excellent agro-industry potential, namely cassava. These commodities can be processed into superior regional products, namely cassava chips. The center of the cassava chip industry is in the Gayam sub-district and the Kalitidu sub-district. The problems faced by the cassava chip industry in Bojonegoro Regency are currently in the raw materials, technology, product quality, business capital, marketing, and there is still no cluster division. This study aimed to determine clusters and improvement strategies in each cluster of the cassava chip industry. The method used is the K-means Clustering method and Fuzzy AHP. The study's results determined 2 clusters of cassava chips industry based on the performance of the cassava chips industry and the quality of their products. Cluster 1 consists of 3 cassava chip industries, and cluster 2 consists of 4 cassava chip industries. The strategy for developing the cassava chip industry in cluster 1 is to establish partnerships with raw materials suppliers, plant cassava on private land, and manage the handling and supply of raw materials. The development strategy for cluster 2 is to innovate products, innovate packaging designs and conduct comparative studies in other cassava chips industries.

Study on the impact of intelligent city pilot on green and low-carbon development

The intelligent city pilot policy is a major measure in China to promote urban development from factor driven and investment driven to innovation driven. Intelligent city construction can effectively coordinate specialized production factors and information sharing mechanism, promote digital information technology innovation, promote smart industry cluster, and expand ecological scenarios of clean industry application, so as to reduce carbon emissions. This paper reveals the internal mechanism of intelligent city construction to promote carbon emission reduction. Based on the quasi-natural experiments carried out in three batches of pilot construction of intelligent cities since 2012, the difference-in-difference model (DID) is used to identify its impact on urban carbon emissions. The research results show that the pilot construction of intelligent cities is conducive to reducing carbon emissions, which is still robust under multiple scenarios such as placebo test and endogenous test. Heterogeneity analysis shows that the pilot policies have a more significant carbon emission reduction effect on the Beijing-Tianjin-Hebei urban agglomeration, non-resource-based cities, and non-old industrial bases. After further quantitative analysis of 917 pilot policy texts based on Simhash algorithm, Jieba word segmentation, and word frequency statistics, it is found that intelligent industry policies reduce carbon emissions by driving data elements agglomeration and optimizing industrial structure, while intelligent government and intelligent people's livelihood policies improve energy efficiency and reduce carbon emissions through green technological innovation. Counterfactual tests using machine learning algorithms show that the later the pilot batch, the better the sustainable carbon emission reduction effect of intelligent city pilot policies.

The Interaction of Cultural and Creative Industries Clusters and Regional Economic Resilience from the Perspective of Spatial Analysis

Cultural and creative industries (CCIs) clusters are essential in increasing regional economic resilience, and regions with solid economic resilience can also promote the formation of CCIs clusters. However, there is little research on the two-way effect of cultural and creative industries on regional economic resilience. This study explores the relationship between the clusters of CCIs clusters and regional economic resilience from a spatial perspective. This paper takes 31 provinces and cities in China as the research object, uses panel data from 1997 to 2020, and divides the CCIs clusters into specialization and diversification. The spatial simultaneous equations model was used to verify the two-way influence relationship and the spatial interaction between the specialization and diversification of CCIs clusters and the regional economic resilience, respectively. The study found a two-way positive relationship between specialized CCIs clusters and regional economic resilience, while the opposite relationship existed between diversified CCIs clusters and regional economic resilience. There were positive spatial spillovers between CCIs clusters and regional economic resilience. The enhancement of local economic resilience comes from the specialization of local CCIs clusters and the diversification of CCIs clusters in neighboring regions.

Contamination Characteristics and Source Identification of Groundwater in Xishan Coal Mining Area of Taiyuan Based on Hydrochemistry and Sulfur–Oxygen Isotopes

Xishan mining area in Taiyuan is a typical coal industry cluster with a variety of coal-related industrial sites such as coal mines, power plants and coking plants, which seriously pollute the native ecological environment. Study of the hydrochemical characteristics and pollution sources of groundwater in the area can contribute to the ecological protection and remediation of regional groundwater resources. In this study, we collected surface water and groundwater samples from the Xishan mining area and measured and analyzed hydrochemical and sulfur–oxygen isotopes. Results showed that 64.7% of groundwater in the study area exceeded the sulfate standard due to the influence of the coal industry, with some karst groundwater up to 2000 mg/L. In the runoff and discharge area of karst groundwater, the proportion of anthropogenic input of SO42− increased, which led to the hydrochemical type of karst groundwater gradually changing from HCO3-Ca·Mg (recharge area) to SO4-Ca·Mg (discharge area). Results of sulfur–oxygen isotope tests indicated that the δ34SSO4 and δ18OSO4 values of samples were −10.01~24.42‰ and −4.90~12.40‰, respectively, and the sulfur–oxygen isotope values of some karst groundwater were close to the dissolved end of sulfide minerals, indicating their sulfate mainly came from the oxidation of pyrite. Sulfate sources in groundwater water were parsed using IsoSource model. Calculated results revealed that sulfate in pore groundwater mostly originated from pyrite oxidation, and karst groundwater in the recharge area was mainly influenced by atmosphere precipitation, while groundwater in the runoff and discharge areas were significantly affected by pyrite oxidation, accounting for up to 90% in some karst groundwater. Comparing the sulfur–oxygen isotope values of karst groundwater in 1989, 2016 and 2022, we found that the δ34SSO4 values in 2022 decreased significantly, which indicated the expansion of karst groundwater pollution in the Xishan mining area. This study highlights the pollution of regional groundwater by coal-related industrial agglomerations, and the groundwater pollution in the Xishan mining area requires urgent remediation and restoration.