Prediction of Evolution and Development Trend in Sports Industry Cluster Based on Particle Swarm Optimization

Sports industry cluster refers to the economic phenomenon that sports related enterprises gather in a large number in a specific area. For the sports enterprises in the cluster, they can obtain huge competitive advantages through enterprise agglomeration, thus obtaining better development and rich economic benefits. The optimization of particle swarm optimization is interlinked with the agglomeration of industrial clusters. Therefore, in view of the limitation of the standard particle swarm optimization (PSO) algorithm, an improved particle swarm optimization algorithm-diaphragm particle swarm optimization (D-PSO) was proposed and used to simulate the formation of sports industry clusters. D-PSO introduces the cell membrane processing mechanism of the biological system into the PSO algorithm, which improves the ability of the PSO algorithm to get rid of local extremum points. The competitiveness value of the sports industry cluster is the value of the objective function solved by the D-PSO algorithm. The geographical coordinates of the industrial cluster were the locations in the particle search space of the D-PSO algorithm. The D-PSO algorithm is used to simulate the aggregation process of enterprises in the cluster. Compared with the standard PSO, the D-PSO algorithm has better convergence performance and optimal rate. The results of case analysis show that the proposed method can effectively predict the development trend of sports industrial clusters.

Development Strategy of Indonesian Palm Oil Industrial Cluster Based International Trade Connectivity

Indonesia is the largest producer and the exporter of palm oil in the world which has three palm oil industrial cluster (POIC) areas that are Sei Mangkei (North Sumatera), Dumai (Riau), and Maloy (East Kalimantan). To carry out the delivery of palm oil products to the destination countries, the Palm oil from the three POICs must be transshipment in Malaysia and Singapore. In line with this issues, a strategy to develop the POIC based international connectivity need to be done. This study aims to identify the actual conditions of POIC Indonesia, to determine the factors (internal and external) that influence the development of POIC, and to formulate priority strategy for developing POIC Indonesia. These are needed so that Indonesia can become a hub port of international trade especially in Asia. This research uses "Diamonds" Porter’s Model, gap analysis, and the Analytical Hierarchy Process (AHP). Based on the ana­lysis connectivity, the main strategy that can be formulated in order to develop Indonesian palm oil industry cluster is infrastructure improvements. This strategy can be done if the government (the Ministry of economy, Ministry of industry and trade, Ministry of sea, PT PELINDO, and local government), private sector, academic, and the public is able to work together and integrated.

Development Strategy of Indonesian Palm Oil Industrial Cluster Based International Trade Connectivity

Indonesia is the largest producer and the exporter of palm oil in the world which has three palm oil industrial cluster (POIC) areas that are Sei Mangkei (North Sumatera), Dumai (Riau), and Maloy (East Kalimantan). To carry out the delivery of palm oil products to the destination countries, the Palm oil from the three POICs must be transshipment in Malaysia and Singapore. In line with this issues, a strategy to develop the POIC based international connectivity need to be done. This study aims to identify the actual conditions of POIC Indonesia, to determine the factors (internal and external) that influence the development of POIC, and to formulate priority strategy for developing POIC Indonesia. These are needed so that Indonesia can become a hub port of international trade especially in Asia. This research uses "Diamonds" Porter’s Model, gap analysis, and the Analytical Hierarchy Process (AHP). Based on the ana­lysis connectivity, the main strategy that can be formulated in order to develop Indonesian palm oil industry cluster is infrastructure improvements. This strategy can be done if the government (the Ministry of economy, Ministry of industry and trade, Ministry of sea, PT PELINDO, and local government), private sector, academic, and the public is able to work together and integrated.

Upgrade Path and Strategy of Logistics Industry Cluster Based on the Internet of Things

As the economy grows rapidly and IoT technology advances rapidly, the logistics industry as a service industry is growing rapidly around the world. The logistics industry, meanwhile, is the one that can best play the role of IoT. The rapid development of the logistics industry has brought great competition challenges to the logistics industry. To solve the competitive problems of the logistics industry cluster, this article introduces the research on the upgrade path and strategy of the logistics industry cluster based on the Internet of Things and uses the analytic hierarchy process, investigation method, and expert evaluation method to build the IoT technology information model and logistics cost. According to the established optimization model, the following are proposed: analyzing the problems existing in the logistics industry cluster, giving an upgrade path from the four aspects of manufacturing, technology, structure, and service, and giving specific strategic suggestions from the aspects of talents and enterprises. The accuracy rate of current analysis is as high as 90%, and the implementation rate of upgrade paths and strategy recommendations is as high as 95%.

Research on Path Dependence of Industrial Clusters: Taking Xuchang Tobacco Industrial Cluster as an Example

As the major carriers for the development of the regional economy and small-and-medium-sized enterprises, industry clusters are faced with challenges of sustainable development in the process of China's industrial upgrading and transformation. This study takes the development history of China's Xuchang tobacco industry cluster as the background, extracts some key concepts from Path-Dependence Theory and then constructs the relational model of path dependence elements, hoping to find out the formation mechanism of path dependence. The study shows that, firstly, learning costs, transaction costs, transformation costs and innovation risks determine what decisions to be taken for those enterprises in the clusters, and they are also the internal economic factors for formation of path-dependence. Secondly, the competence of an enterprise is the main reason accounting for the path dependence of the cluster. Lastly, habit seem to be the social cause and the highlight of the path dependence. Moreover, those path dependence elements are interactive and reciprocally enhanced.

Could a new Scottish CO2 transport and storage industry deliver employment multiplier and other wider economy benefits to the UK economy?

In 2021, the UK Government commenced a ‘cluster sequencing’ initiative to identify early movers in delivering carbon transport and storage (T&S) services to proximate regional industry clusters with capture potential. A Scottish proposition focussed primarily on linking the Grangemouth industry cluster to North Sea storage, and the potential to transition Oil and Gas industry capacity to deliver CO2 T&S has devolved policy support. This is in terms of potential to transition and create new direct industry and supply chain jobs, set against risks of displacing jobs in different sectors and regions of the UK. We introduce a Scottish CO2 T&S industry to a UK multi-sector economy-wide model, assessing the extent of potential expansion and job creation in the presence of supply-side and funding constraints. We find that large employment ‘multiplier’ gains registered in previous studies only apply over the very long term and in the absence of such constraints. Crucially, any need to recover demands on the public purse via socialisation of costs severely constrains possible gains, while imposing ‘polluter pays’ leads to net economy-wide contractions triggered by competitiveness losses concentrated in Scottish cluster industries, leading to offshoring of production and jobs, potentially skewed within the localities hosting the clusters.

Business strategy of laying hens towards new normal era

This study aims for a deep understanding of the business strategy of layer chicken farms during the new normal era in Bali. The expected output in this study focused on the establishment of strategic recommendations that apply to layer chicken farms within Bali to raise the production as well as overcome the challenges during the new normal era new normal. 134 respondents were involved, which consists of 80 consumers, 48 livestock farmers, and 6 experts. Results of IFE-EFE analysis showed that the value of an internal factor is 3.72 and external factor is 2.73 which determine that the business of layer chicken farm is in quadrant IV in matrix IE and categorized group of growth and build strategy. Seven business strategies could be recommended to the farmers in Bali during this new normal era, namely; 1) applying digital marketing; 2) implementation of laying chickens information system (abbreviated as SIAP in Bahasa Indonesia); 3) socialization and empowerment in utilizing e-commerce; 4) collaborating with livestock platforms; 5) training and mentoring for the public regarding a business opportunity in an egg-based product; 6) forming industry cluster of laying chicken farms; 7) development of livestock cooperative.

Wood Residues in the Moratuwa Woodworking Industry Cluster of Sri Lanka: Potential for Sector Synergies and Value-Added Products

The Moratuwa Woodworking Industry Cluster (MWIC) is a geographically concentrated cluster of over 1,600 small-to-medium scale wood-based manufacturing and retail facilities in Sri Lanka. Firms include furniture manufacturers, carpentry shops, sawmills, and integrated sawmills. The concept of industrial symbiosis explores the synergies between industrial facilities to exchange energy, water, by-products, and waste to achieve a higher efficiency in resource utilization. This research was undertaken to address the lack of quantitative information on wood residues generated within the MWIC. A survey of 180 primary and secondary wood product manufacturers was undertaken to quantify MWIC firm by-product production and consumption of wood residues to establish a baseline for possible end use and waste synergies. The total population of enterprises generating wood waste is 730; retail facilities are not included. Sawmills produce approximately 66% of the 6,490 MT of MWIC's monthly wood residue generation, with the balance produced by carpentry and integrated enterprises. Teak (Tectona grandis) and mahogany (Swietenia macrophylla) are the dominant species used in the MWIC, accounting for most of the wood waste. Three main types of wood waste were identified in the survey: sawdust (76.5%), boards with significant wane (16.5%) unusable for further products, and offcuts (6.9%). Only 55% of the wood waste generated in MWIC is currently used; the remaining 45% is taken to landfills or disposed of in other ways, such as discarded in waterways or other nonapproved locations. Improved wood waste sorting by type at the mill level and aggregated wood waste within the MWIC was determined to increase the usability of wood waste as potential inputs in other wood manufacturing sectors in the MWIC.