Industrial Cluster Theory Research Articles

Study on the development path of low-carbon retail clusters empowered by digital empowerment

This study provides an in-depth exploration of the mechanisms by which wholesale and retail clusters in China influence green and low-carbon synergistic development. Using the system generalized method of moments (SYS-GMM) method combined with the theory of industrial clusters, the contribution of digital technology application, green supply chain management, consumer behaviour, and corporate social responsibility to synergistic development is analyzed. It is found that the highly clustered wholesale and retail industry has promoted supply chain intelligence and logistics optimization through the extensive application of digital technology, creating favourable conditions for synergistic development. Regarding green supply chain management, cluster companies are more inclined to adopt green measures such as environmentally friendly packaging and energy-efficient logistics, effectively reducing carbon emission levels. In terms of consumer behaviour, the increase in the clustering rate has prompted consumers to be more inclined to consume green and purchase green products, thus promoting the decarbonization of products and services. CSR practices show that highly clustered companies are more active in implementing emission reduction measures, reflecting their responsibility for sustainable development. This study provides a new theoretical perspective for understanding the intrinsic mechanism of industrial clusters in carbon emission reduction and offers feasible carbon reduction strategies for industrial practices. In the urgent global carbon emission reduction context, this study provides essential academic and practical value for promoting China's wholesale and retail industry toward more sustainable development.

Research and Practice on Green Development of Cultural Tourism Integrated Industry Clusters

This paper focuses on the green development of cultural tourism integrated industry clusters, discussing case studies such as Longquanyi District, Bazhong Guangwushan, and Shuangliu District. It examines from various perspectives the impact factors, development models, and core issues of green development evaluation in cultural tourism integration within industry clusters. Under the guidance of industrial cluster theory, industry integration theory, and sustainable development theory, a research approach is constructed: “Cultural Tourism Integration - Business Model Innovation - Industry Cluster - Green Development Evaluation - Policy Recommendations”. This study deeply analyzes the formation conditions, new business model development, level of green development, and existing problems of cultural tourism integrated industry clusters in different regions, and proposes corresponding policy recommendations. By combining theory with practice, this study provides useful references for promoting the integration and sustainable development of cultural, ecological, and tourism resources.

The geography of commercial activities in business parks in Cape Town

ABSTRACT Business parks have increasingly become part of Cape Town’s industrial built environment over the last 25 years. It signifies a shift from large industrial premises to smaller units in communal industrial settings. This paper investigates the types of business activities found in the business parks using the conceptual underpinnings of location theory and industrial cluster theory. Online and fieldwork surveys of the businesses found in 49 business parks in Cape Town, South Africa, were conducted to compile a database of businesses and their activities. Each business was classified using the South African Standard Industrial Classification (SIC) codes to establish which economic sectors are represented in the business parks. It was found that the predominant economic sectors in business parks were the wholesale and retail trade, which included the repair of motor vehicles, motorcycles and personal and household goods and catering and accommodation, as well as the financial sector consisting of banking, insurance, real estate and business services. Manufacturing activities and commercial, social and personal services were also well represented. The findings indicate that business parks are the popular location for retail-orientated businesses and small manufacturing concerns and affirm the growing importance of the professional and business service sectors. The paper lays the groundwork for further investigation into the multi-scalar economic linkages of firms in business parks in Cape Town.

Facing the COVID-19 Pandemic and Developing a Sustainable Entrepreneurial Ecosystem: The Theory and Practice of Innovation and Entrepreneurship Policies in China.

Under the influence of the COVID-19 pandemic, the vitality of start-ups has been continuously suppressed, their income has been decreasing, and overall economic development has gradually declined. At this time, the government, as an effective subject, should present its due responsibility to make entrepreneurship more sustainable and form a sustainable entrepreneurship ecology that can cope with risks. This paper takes the innovation policy theory and practice from research regarding China’s COVID-19 cases. One example is exploring the formation of the government’s innovation entrepreneurship policy and its mechanism within industrial cluster theory. Furthermore, we explore the analysis of the practice situation and try to solve the obstacles in the process of sustainable development through the regional entrepreneurial ecosystem and platform system building. We hope to find an acceptable way for the sustainable development of entrepreneurial ecological theory research and provide effective research and practical support.

Upgrading and Optimization of Ski Tourism Resort Using Data Mining and Data Fusion

After years of development, the ski industry has formed a prototype of a ski tourism industry cluster integrating skiing, skiing entertainment, skiing technology, and skiing culture. With the rapid development of global information, data mining and data fusion have attracted extensive attention as high-tech technologies for extensive data processing and useful information retrieval. The principles of these two data processing technologies are different, but they are functionally compatible with each other. This paper will use the methods of data mining and data fusion to research and analyze the upgrading and optimization of ski tourism destinations; eliminate unnecessary information; reduce rules; establish a fusion system according to the basic rules of rough sets; use industrial cluster theory, industrial structure and optimization theory, industrial economy, and sports tourism management theory to study the current situation and existing problems of ski tourism; and analyze the mechanism and theory of upgrading and optimization of ski tourism industry structure based on industrial clusters. The results show that the per capita ecological footprint of the ski resort has decreased by 0.06178 hm2 in the past five years, and the total ecological footprint of the whole region in 2020 is 535089.3 hm2. Compared with 2016, it increased by 0.97%, exceeding the ecological deficit carrying supply by 5 times. Compared with traditional algorithms, the performance of data mining and data fusion algorithms is improved by 48%. It is concluded that the development strategies of the ski tourism industry include the innovation of ice and snow sports products, the innovation of technology development paths, the optimization of the management mode and marketing mode of the ski tourism industry, and the innovation of industrial systems and systems.

Promoting Competitiveness of Green Brand of Agricultural Products Based on Agricultural Industry Cluster

Agricultural industrial clusters are the basis for the formation of regional brands of agricultural products and also an effective way to enhance the regional brand value and competitiveness of agricultural products. Based on the agricultural industry cluster, carry out regional brand building of agricultural products, emphasizing that the production of agricultural products from raw material bases to product sales in specific administrative areas, and even the collaborative production services of relevant agricultural technology research and development institutions are connected to the local network, establishing a regional first-class agricultural product brand. The brand grows with the development of regional production bases. Therefore, this paper is aimed at exploring the research on the promotion of green brand competitiveness of agricultural products based on the theory of agricultural industrial clusters, analyzing the internal connection between agricultural product agglomeration effect and brand competitiveness, and exploring its advantages and disadvantages. Using this strategy, this paper will use the research method of specific analysis of specific problems, design an analysis model construction experiment based on the influencing factors of agricultural industrial clusters, and draw experimental conclusions through the analysis and comparison of experimental data. Through theoretical innovation and exploration, a model for the rapid development of green agricultural product brands can be found. The results show that the use of questionnaires to explore the differences in the planting characteristics of green agricultural products in industrial clusters can account for 35% of the brand competitiveness, promote the rapid development of the brand, and enhance the technological innovation ability by 19%. Therefore, combined with the characteristics of the current era, with the help of the national agricultural aid policy, fully absorb the transformation, actively innovate, and improve the level of agricultural cultivation. Analyze different application difficulties, explore development prospects, give full play to the competitiveness of agricultural products, realize high-yield green crops, use these theories as a guide to innovate and integrate, provide valuable experience clusters for the wide application of agricultural industrialization, and achieve sustainable regional economic structure and ecological environment.

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.

Psychological Construction and Cultivation of New Entrepreneurs Using Industrial Cluster Theory and Multidimensional Structure Model.

This study aims to analyze the influencing factors and training plans of cultivating new entrepreneurs in the new era based on industrial cluster theory. First, the status of the research on the correlation between psychological characteristics and entrepreneurial performance of new entrepreneurs is reviewed. Second, 200 new entrepreneurs in the Xi’an City of Shaanxi Province are randomly selected as the research objects. An empirical model of the correlation between entrepreneurial psychological characteristics and entrepreneurial performance is innovatively proposed. Finally, the questionnaire data are analyzed by correlation analysis and SPSS 26.0 (Chicago) statistical analysis. The results show that most of the entrepreneurs are between 30 and 50 years old, with a larger number of mens, and most graduate from junior colleges. The gender and education level of the new entrepreneurs have a little impact on their entrepreneurial performance (P > 0.05), whereas their age has a significant impact on their entrepreneurial performance (P < 0.05). Moreover, there is a significant correlation between the psychological characteristics of the entrepreneur and the two dimensions of entrepreneurial performance (development and profitability) (P < 0.05). This shows that the key to cultivating new entrepreneurs is to develop their age and psychological characteristics, which can enhance the entrepreneurial ability of new entrepreneurs and provide a basis for cultivating multidimensional entrepreneurial talents in new enterprises.

Development Key Fishery Industries Cluster in Mekong Delta River and Some Policy Recommendations (Case Study of the Fish Pangasius)

On the basis of the theory of industrial groups or clusters and the development status of key fisheries industry clusters (pangasius and shrimp) in the Mekong Delta, with the results of surveys and field studies, On the topic of the pangasius industry cluster (pangasius), the article focuses on commenting on the situation of developing the pangasius industry cluster in the Mekong Delta, on that basis, proposes a number of policy solutions to contributing to promoting the development and improving the efficiency of the fishery industry cluster in general and the pangasius industry cluster in particular in the Mekong Delta.

Mobile E-Commerce Information System Based on Industry Cluster under Edge Computing

Mobile e-commerce is e-commerce implemented on mobile devices, such as mobile phones, and mobile Internet networks as we usually understand. With the rapid development of mobile electronic devices and mobile Internet networks, this new type of e-commerce field has gradually emerged. In the context of edge computing, this paper takes mobile e-commerce information system as the research object and aims to study the mobile e-commerce information system based on industry clusters under edge computing. First of all, this paper expounds the theory of industrial clusters and the manifestations of e-commerce industrial clusters, as well as the concept and technical framework of the Internet of Things, and proposes the order relationship analysis method and the fuzzy comprehensive evaluation method, and conducts experiments in the form of questionnaires. The experimental results show that, from the perspective of industrial integration, with a correlation coefficient of 0.687, there is a significant positive correlation between e-commerce information system and supply chain cooperation.

Research Status of Innovative Industrial Clusters in China Based on Bibliometric Analysis

The development of innovative industrial clusters is an important way to promote the development of innovative enterprises in China. At the same time, it also has definite practical significance to encourage regional innovation. This paper uses the CNKI database as the research platform, and selects the literature in the field of innovative industrial clusters from 2002 to March 1, 2021 as the research object, using bibliometrics method and CiteSpace software tools to analyze the number of publications, cooperative institutions, research hotspots, and trends. Perform visual analysis and systematically comb the progress status of innovative industrial clusters and predict future research trends in China. The research results show that the research on the basic theories of innovation industry clusters is not solid enough in China, and the cooperation between scientific research institutions needs to be strengthened; in addition, in this paper, the research process is divided into the embryonic exploration period and the development period for analysis, and then found it Related research hotspots mainly focus on innovative industrial clusters and industrial cluster theory, innovative industrial cluster development areas, innovative enterprises and government policies.

The Effects of Wine Regions on the Profitability of the Hungarian Winers

The aim of our research is to analyse the profitability and efficiency performance of different Hungarian wine regions. In our study, we make the initial assumption that wine regions function as a separate agglomeration zone, an industry cluster in the life of wineries. Consequently, it makes sense to evaluate profitability and efficiency not at the corporate level but at the wine region level. In the study, we used the DuPont scorecard system, which is now preferred by companies for planning and control purposes. According to the results of the 2017 large wine test, we divided the Hungarian wine regions into four groups, and in the case of wineries that cannot be classified as wine regions, we created two more groups. Our results are consistent with the theory of agglomeration zones and industrial clusters. In winemaking, it can also be demonstrated that wine regions, which can be considered as a special industrial cluster, have a significant impact on the economic performance of wineries.

Determinants of Innovation Ecosystem in Underdeveloped Areas—Take Nanning High-Tech Zone in Western China as an Example

High-tech zones are an important platform for local governments in China to carry out regional collaborative innovation and an important carrier for the construction of a regional innovation ecosystem. The evolution path of innovation ecosystem in a high-tech zone is divided into three stages: enterprise collection, industrial cluster, and system integration. The innovation subjects form a complex network system that transcends the physical boundary. This paper studies the relationship between innovation input, innovation output, and innovation environment from the perspective of cluster innovation ecosystem structure. Using data mining technology, this paper establishes an index variable system of the innovation ecosystem in a high-tech zone, which includes innovation input, innovation output, and innovation environment. Based on the data of the Nanning National High-tech Zone in China, empirical tests were carried out, using factor analysis and regression analysis to analyze the quantitative relationship between the input, output, and innovation environment of the Nanning High-tech Zone’s innovation ecosystem, and to explain the relationship between each other and the overall innovation of the high-tech zone. This research has certain practical significance for enriching and perfecting the theory of industrial clusters and studying the evolution of the innovation ecosystem of high-tech zones from a micro level. It has important, enlightening significance as a reference for the construction of innovative high-tech zones and the enhancement of high-tech zones’ independent innovation capabilities.

Study on the Dynamic Mechanism of Utilizing Industrial Cluster to Improve the Comparative Advantage of Chinese Grain

Sufficient and stable supply of grain is the core of grain security. Since proposed, the industrial cluster theory has been gradually applied to the agricultural field. Since the reform and opening up, China's grain productivity has been substantially increased, but domestic grain supply is still inadequate. Although the agriculture in the optimized development area of our country is relatively developed at present, the grain production in the moderate development area and the protection development area are not optimistic. The major international grain export countries have formed the development model of grain industry cluster such as specialization and regionalization of grain production. China can draw lessons from their experience in many aspects, like providing advanced agricultural education, science and technology, and strong government security policy. Therefore, China should adjust the distribution of grain industry reasonably, actively guide the development of leading enterprises of grain industry, establish and improve the supporting policy of grain industry, and promote the development of grain industry cluster of our country across the board. All these will help lay a solid foundation for China's food security. To the Country people is all-important, to the people foodstuff is all-important. Sufficient and stable supply of grain is the core of grain security. Nowadays, the constraints of domestic resources and environmental elements have been increasingly obvious and the productivity of agricultural technology have met with growth slowdown, leading to the cost increase of the domestic grain production and the labor. Grain import usually makes the grain price decrease, and the increased planting cost and decreased grain price are bound to substantively weaken the market competitiveness of the Chinese grain industry. As a result, China can’t realize adequate grain supply, which thus causes the of grain security. Therefore, the urgent tasks are to pay attention to the food security of our country, to improve the comparative advantage of our grain industry, and to enhance the competitiveness of the Chinese grain industry in the international market. Not only can the industrial cluster gain the benefits of scale economy and reduce the cost, it can also utilize the resources and exchange information and experience more efficiently, and then improve the competitive advantage of industries. In short, as a new way of organization, the industrial cluster can enhance the comparative advantage of the original industries and even create a new comparative advantage.

Effects of Informal Contracts on Innovative Cooperation among Enterprises in Industrial Clusters: An Evolutionary Game Analysis

Industrial cluster theory has important guiding significance for regional industrial development and industrial agglomeration advantages. Cooperation among enterprises is the corner stone of industrial clusters. The purpose of the paper is to explore the effects of cluster informal contracts on cluster enterprises and the behavior of external partners. Based on the dynamic evolutionary game theory, this paper constructs a model, which incorporates several main factors influencing the innovative cooperation among local and external cluster enterprises. By calculating the replicator dynamics equations and analyzing the evolutionary stable strategies, this paper discusses the evolution process of cooperation strategies of enterprises in different situation. Furthermore, by using MATLAB software to simulate the model, this paper verifies the accuracy and reliability of the game model. Results show that, in addition to the formal market contract, effective implementations of cluster informal contracts can reduce opportunistic behavior in innovative cooperation among internal and external enterprises. Meanwhile, we should pay attention to strengthen the external innovative cooperation, increase severity of penalties, enhance the credit network externality, and avoid the relevant risks. The paper enriches our understanding about how informal contracts can help promote and cultivate good cooperative order in innovative cooperation of clusters.

Increasing territorial capitalization by incorporation of small enterprises into clusters

Modernization of the Russian national economy depends on small businesses and their involvement in capitalization of the territorial potential. This article discusses methods, models, and mechanisms of territorial capitalization based on incorporation of small business enterprises into clusters along with medium- and large businesses. We propose an optimization model for assessing the efficiency of such clusters: our research has shown that this model can be applied for decision-making in regional strategic planning. Methodologically, this study relies on the theories of industrial development and economic growth, the industrial cluster theory, and the works of Russian and international researchers on mechanisms of management of territorial potential, their establishment and implementation. Capitalization of the region’s resource potential manifests itself in the form of static and dynamic effects. We developed models of interaction between small and other businesses and structures within a cluster oriented towards territorial capitalization. We demonstrated that incorporation of a university into a cluster structure increases the innovative capacity of all cluster members. This research may be further expanded to study the mechanisms of involving small businesses operating in peripheral areas into clusters.

Innovation-orientation, dynamic capabilities and evolution of the informal Shanzhai firms in China

Purpose – This paper aims to study the evolution of innovation-based dynamic capabilities in informal copycat-style firms. As a kind of informal economical organizations, copycat-style firms in many emerging economies play an important role in their development of the economics. The development of Shanzhai firms, Chinese-style copycat firms, from imitation to innovation has become an important micro-foundation of China’s economic growth and the manufacturing development. With the cluster development of the Chinese mobile phone industry as the macro and industrial environment background, this paper chose Beijing Tianyu Communication Equipment Co. Ltd as the typical example of innovation in Shanzhai firms and studied the evolution of innovation-based dynamic capabilities in this company. Design/methodology/approach – This paper chose Beijing Tianyu Communication Equipment Co. Ltd as the typical example of innovation in Shanzhai firms and studied the evolution of innovation-based dynamic capabilities in this company by adopting the leading-edge dynamic capability theory, innovation theory and industrial cluster theory. The authors further discussed how to improve the dynamic capabilities in Shanzhai firms in China. Findings – It is finally suggested that Shanzhai firms should reduce innovation failures and lower damage degree of dynamic capabilities through consistent innovation and paying attention to their innovation improvement. Originality/value – It will be very significant to research the survival or diminishing of Shanzhai firms from a theoretical perspective, which will eventually enhance property right protection and innovation development in China.

Plant Factory Engineering Strategy of Japanese Manufacturer and Agri-Business Innovation

These days, some manufacturing enterprises which are forced to diversify management enter Agri- Business and plant factory business, make an Innovation utilizing high research and development ability and enough capital. As Agri-Business Innovation in Japan, this study examinedNK Agri, a subsidiary company of Noritsu Koki, which is a motion picture producer and machinery maker, based on Industrial Cluster Theory and Diamond Model by Michael E. Porter. The important points to enter Agri-Business of manufacturing enterprises were summed up as below. 1) New coming manufacture enterprises can form Industrial Cluster with farmhouse and foods makers, and enhance productivity and competitiveness. 2) New coming manufacture enterprises can enhance productive efficiency by collaborating with orthodox farmhouses as important partners. 3) Re- search institutions such as universities and local government should support for forming and development of Agri Industrial Cluster by manufacture enterprises. Agri Industrial Cluster by manufacture enterprises can improve local economy, so local government should prepare for the system to expand support as a policy.

Creativity, clusters and the competitive advantage of cities

Purpose– This paper aims to marry Michael Porter’s industrial cluster theory of traded and local clusters to Richard Florida’s occupational approach of creative and routine workers to gain a better understanding of the process of economic development.Design/methodology/approach– Combining these two approaches, four major industrial-occupational categories are identified. The shares of US employment in each – creative-in-traded, creative-in-local, routine-in-traded and routine-in-local – are calculated, and a correlation analysis is used to examine the relationship of each to regional economic development indicators.Findings– Economic growth and development is positively related to employment in the creative-in-traded category. While metros with a higher share of creative-in-traded employment enjoy higher wages and incomes overall, these benefits are not experienced by all worker categories. The share of creative-in-traded employment is also positively and significantly associated with higher inequality. After accounting for higher median housing costs, routine workers in both traded and local industries are found to be relatively worse off in metros with high shares of creative-in-traded employment, on average.Social implications– This work points to the imperative for the US Government and industry to upgrade routine jobs, which make up the majority of all employment, by increasing the creative content of this work.Originality/value– The research is among the first to systematically marry the industry and occupational approaches to clusters and economic development.

Search costs generating industrial clusters

Multiple factors induce the formation of industrial clusters worldwide. This paper studies the formation of industrial clusters based on spatial competition and search costs in a game theoretic model. By establishing a spatial competition model, this paper compares firm profits under clustering to those without clustering. We find that search costs are an extremely important factor in the formation of industrial clusters that can give rise to industrial clusters in certain industries. This work contributes analytical and theoretical insights to the theory of industrial clusters.