Agricultural Industry Cluster Research Articles

Identification and evaluation of the evolution stage of the agricultural machinery industry cluster in Shandong Province

AbstractAgricultural machinery industry clusters have great potential to solve key technological problems in China, and it is crucial to accurately identify the stage of cluster evolution. Based on the location entropy method, this paper finds that the location quotient coefficient is greater than 1.2 and the average annual growth rate is 1.11%, which indicates that the agricultural machinery industry in Shandong Province has a high degree of agglomeration, but the agglomeration speed is slow. Using the Groundings agglomeration—Economic network—Social network—Service system model, it is found that the agricultural machinery industry cluster in Shandong province is in the growth stage, in which the service system has the most significant influence on its development level. The weights of service system, social network, economic network, and basic resource aggregation derived from the Analytic Hierarchy Process model are 0.410, 0.321, 0.151, and 0.118, respectively, where agglomeration degree of the agricultural machinery industry, raw material production of agricultural machinery enterprises, exchange of tacit knowledge and intermediary service level are the four indicators with the greatest weights in the influences on sustainable development of the agricultural machinery industry. Because of the strong fuzzy nature between the indicators, this paper applies the Fuzzy Comprehensive Evaluation method to quantify the stage of evolution of Shandong Province's agricultural machinery industry cluster.

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

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

Evolution Modes of Chili Pepper Industry Clusters under the Perspective of Social Network—An Example from Xinfu District, Xinzhou, Shanxi Province

This study evaluates the progression and influencing factors of the chili pepper industry cluster in Xinzhou City, Shanxi Province from 2006 to 2020 from a social network standpoint, using both theoretical and empirical methods as well as incorporating field survey data. The findings reveal the following facts: (1) the chili pepper industry cluster underwent a steady evolution in the social network over the course of 15 years, evidenced by an increase in the network clustering coefficient from 0.157 to 0.470. The network scale expanded from 9 to 76 entities; thus it basically achieved maturity; (2) the development modes of the chili pepper industry cluster in Xinfu District can be summarized as follows: an “embryonic stage” (2006–2010), an “initial stage” (2011–2015), and a “developmental stage” (2016–2020), which are marked by a broker-centered industry mode during the embryonic stage, a cooperatives-centered industry mode during the initial stage, and a chili pepper association- and leading enterprise-centered industry mode during the developmental stage; (3) the policies, fund, market, labor, and external capital have a significant impact on the development of the chili industry cluster in the Xinfu District. During the embryonic stage, the primary influencing factors are fund (0.326) and market (0.309). During the initial stage, the primary influencing factors are market (0.162) and external capital (0.135). During the developmental stage, the primary influencing factors are policy (0.232) and market (0.232), with technology (−0.102) serving as a limiting factor. It is crucial to take into account natural resource endowment and industry mode features, foster technological advancement, and spur social capital involvement in developing chili pepper industry clusters. The government must create a supportive external environment for the chili pepper industry cluster’s growth to establish a solid foundation for the high-quality advancement of the agricultural industry cluster. The insights derived from this study can serve as a reference and source of inspiration for the growth of other vegetable industry clusters in China.

Analysis of the Construction of Hainan Agricultural Industry Cluster and Its Impact on Regional Economy

Analysis of the Construction of Hainan Agricultural Industry Cluster and Its Impact on Regional Economy

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.

Study in Driving Strategy and Analysis of Sustainable and Symbiosis Development Relationship between Agricultural Industrial Clusters and Agricultural Logistics Industry

Due to a lack of profound disclosure of the internal mechanism for the symbiotic development of agricultural industrial clusters and agricultural logistics industry, the current study finds it difficult to form specific and implementable driving countermeasures well. Quantitative research on their symbiotic development and evolution is an important method to promote the further development of agricultural industry and agricultural logistics industry. In this paper, the factors affecting the sustainable symbiotic development relationship are analyzed between agricultural industry clusters and agricultural logistics industry with explanatory structural equation, and a system-driving model is constructed for the symbiotic development of agricultural enterprise clusters and agricultural logistics industry. The analysis indicated that, for the symbiotic development of agricultural enterprise clusters and agricultural logistics industry, the macro policy orientation is the fundamental driving force and the symbiotic development effect is its final result. Seven driving paths are refined, and the relevant countermeasures to promote the sustainable development of agricultural industrial clusters and agricultural logistics industry are put forward one at a time.

A theoretical framework and empirical analysis of the formation mechanism of green agricultural industry cluster：A case study of the Shouguang vegetable industry cluster in Shandong Province

A theoretical framework and empirical analysis of the formation mechanism of green agricultural industry cluster：A case study of the Shouguang vegetable industry cluster in Shandong Province

ОСОБЕННОСТИ ФУНКЦИОНИРОВАНИЯ АГРОПРОМЫШЛЕННЫХ КЛАСТЕРОВ ПРИ ИХ СТРУКТУРНОЙ ТРАНСФОРМАЦИИ

The article explores the particularities of agriculture industry cluster activities. The cooperative action between groups of industries requires specific approaches to solving actual problems. Thus, this report has a strong focus on organizational, economic, and legal challenges encountered in cluster development process. The article also provides insight into meeting industry standards, technical regulations, and other statutory instruments. The report analyzes the authorities and responsibilities of a specialized organization in cluster activity.

Innovation development and capability evolution for traditional machinery manufacturing enterprises based on genetic algorithm

ABSTRACT Agricultural machinery manufacturing enterprises are the backbone forces of improving competitiveness of the agricultural machinery industry and the development of the regional economy. Therefore, exploring the energy consumption and sustainable development paths for the traditional agricultural machinery manufacturing enterprises in the manufacturing process in China has an important practical significance for promoting the transformation and upgrading of enterprises and improving competitiveness. The innovative ability of an enterprise plays important in the sustainable development of agricultural machinery manufacturing industry clusters, and the proportion of fixed assets input has a greater impact on the development scale of agricultural machinery manufacturing industry clusters.

Analysis of technology diffusion in agricultural industry cluster based on system dynamics and simulation model

The process of technology diffusion in an agricultural industry cluster is different from that in general markets. Extending the assumption of the Bass model by considering multiple developments of technology diffusion, sluggish message sharing and unstable market, the dynamic model of technology diffusion was established by using the Vensim-PLE as a simulator to conduct the present research. The results showed that this model meets the needs of actual agricultural industry clusters and can be a theoretical guidance for farmers or enterprises if they intend to practice technology diffusion in an agriculture industrial cluster.

Evolving Supply Chains and Local Freight Flows: A Geographic Information System Analysis of Minnesota Cereal Grain Movement

In Minnesota, technological and economic shifts in the grain supply chain have altered the way grain producers and sellers navigate their local freight network. In particular, many producers have been increasing their personal trucking capacity and taking longer trips to intermodal and domestic market options. This logistical reshaping of local grain supply chains pressure transportation officials to reconsider the consequences for road infrastructure and congested freight corridors. Studies are discussing the potential of disaggregated commodity flow survey (CFS) data as a critical tool in understanding small-scale freight movement and informing infrastructural investment decisions. Utilizing ArcGIS’s Network Analyst and Hot spot tools to analyze inter-county grain trucking, our study effectively differentiates highly active freight corridors. The model is used to further inform an ongoing infrastructure development project in the Twin Cities metro area by contextualizing road usage within the economic framework of the grain supply chain. However, this study finds CFS data alone fails to account for shifting supply chain conditions, and their consequent impact on the road network. Employing United States Department of Agriculture crop production and cropland data, this study additionally builds an original, computational model that simulates corn producer shipment reaction to market price competition within two key grain-producing counties. Results visualize how producers, during spot months, may be incentivized to haul longer distances to more competitive markets—especially emerging biofuel industries. This lesson proves crucial for state and local transportation officials who wish to identify freight infrastructure development opportunities that invigorate and accommodate growth in Minnesota’s expanding agricultural industry cluster.

Study on the Relationship Between Advantageous Agricultural Industrial Clusters and Agricultural Regional Brands

With the rapid development of global economy, the agricultural competition all over the world is also increasing. Countries around the world is committed to cultivate characteristic agriculture and create the agricultural industry cluster, and then build agricultural area brand , which become the important carrier of regional competitiveness. This article analyzes the domestic and foreign theory and practice of the construction of agricultural area brand. To provide new ideas for the characteristics of the agricultural industry and the characteristics of China's traditional agricultural cluster guiding characteristics of agricultural products' regional brand, nurturing and development of small and medium-sized brands.

Study on The Industrial Cluster of Tropical Bananas Based on Gem Model

Abstract In recent years, the development of agricultural industry clusters is rapid in China. As a main producing area of bananas, the Hainan Ledong Industrial Cluster’s competitiveness is of great significance to the development of the whole banana industry in China. This paper first analyzed the cultivation of tropical banana and the market share of bananas in each region, and then analyzed the competitiveness of Ledong banana industry cluster through the GEM (Groundings- Enterprises- Markets) model. The results showed that the GEM model score was 456 points, and the domestic cluster competitiveness exceeded the average level. The “factor pair” socre suggested that the scores of the structure, strategy and competition of the enterprise were low, which restricted the development of Ledong banana industry cluster.

SWOT Analysis and Research on the Informatization Application Model of the Agricultural Industry Cluster

The informatization of agricultural industry cluster promotes agricultural modernization. However, agricultural industry cluster in China has no real use of modern information technology. It does not form a rational application system and perfect frame structure, and also it has not reached in the true sense of "industrial clusters", further it influences the competitiveness of agricultural regional economy and the individual as a whole. We mainly study the model of agricultural industrial cluster information, combined with the realistic version of the "happy farm", by reference to the network of food pattern, to establish urban modern agriculture Demonstration Park. By SWOT analysis of the construction of the information platform model, we find out that information of agriculture ecological park to solve the main problems, the overall framework of information technology services of public building agricultural cluster model, focus on building the application function module of the realistic version of the "happy farm".

Design of Agricultural Product Supply Chain Based on Industrial Cluster

The article uses the theories of industrial cluster and supply chain management and researches into the industrial cluster situation and development prospects of Qiqihar Citys agricultural products. At present, although Qiqihars agricultural products industrial cluster has initially formed, the business flow, capital flow, information flow and logistics integration of agricultural products supply chain have yet to be further optimized. Based on the development status quo of Qiqihar, the article proposes the principle of designing Qiqihars agricultural products supply chain, and studies the operation mechanism of supply chain systems, aimed at providing a reference mode for Qiqihars development of agricultural industry and promoting the development of agricultural products industrial cluster.

Agricultural Industry Cluster Sustainable Development Based on the Perspective of the Scientific Outlook on Development

Along with agriculture development, a variety of peoblems have risen which effect agriculture industry cluster development badly. How to use the new development model to solve these problems is a subject worthy of study. The Scientific Outlook on Development is an ideological weapon to guide agricultural industry cluster. So this paper proposes the ecological, harmonious and recycling strategic thoughts of agricultural industry cluster sustainable development based on the perspective of the Scientific Outlook on Development.

Satiating the Demand: Planning for Alternative Models of Regional Food Distribution

Despite the relative absence of wholesale distribution in much of the planning profession's academic and grey literature, emerging models promise to remake the relationship between producers and their regional markets. In this article, key lessons from the value(s) chain literature are illustrated with examples from comparative case studies con¬ducted by the University of Wisconsin–Madison Center for Integrated Agricultural System to acquaint professional planners and allied professionals with strategies for imbuing mid- to high-volume local food distribution with normative values such as transparency and fairness. The research presented here is not a comprehensive analysis of regional wholesale food distribution. Rather, we have focused on organizational, logistical, and marketing characteristics of local and regional food value(s) chains. We utilize an exploratory comparative case study method to identify innovations in food distribution focusing on midtier food value(s) chains. We then describe larger system interventions that planners could employ to better accommodate midtier food distribution needs in the regional planning and food regulatory environment. These interventions include documentation of existing wholesale food system infrastructure; incorporation of agricultural industry clusters into regional economic development planning; cultivation of regional culinary identities to enhance marketing and branding efforts; and collaboration with policy makers and food safety regulators to foster zoning and regulation that protect public safety and welfare and build the capacity and market access of local food entrepreneurs.