Sustainable development early warning and financing risk management of resource-based industrial clusters using optimization algorithms

PurposeThe purpose is to analyze and discuss the sustainable development (SD) and financing risk assessment (FRA) of resource-based industrial clusters under the Internet of Things (IoT) economy and promote the application of Machine Learning methods and intelligent optimization algorithms in FRA.Design/methodology/approachThis study used the Support Vector Machine (SVM) algorithm that is analyzed together with the Genetic Algorithm (GA) and Ant Colony Optimization (ACO) algorithm. First, Yulin City in Shaanxi Province is selected for case analysis. Then, resource-based industrial clusters are studied, and an SD early-warning model is implemented. Then, the financing Risk Assessment Index System is established from the perspective of construction-operation-transfer. Finally, the risk assessment results of Support Vector Regression (SVR) and ACO-based SVR (ACO-SVR) are analyzed.FindingsThe results show that the overall sustainability of resource-based industrial clusters and IoT industrial clusters is good in the Yulin City of Shaanxi Province, and the early warning model of GA-based SVR (GA-SVR) has been achieved good results. Yulin City shows an excellent SD momentum in the resource-based industrial cluster, but there are still some risks. Therefore, it is necessary to promote the industrial structure of SD and improve the stability of the resource-based industrial cluster for Yulin City.Originality/valueThe results can provide a direction for the research on the early warning and evaluation of the SD-oriented resource-based industrial clusters and the IoT industrial clusters, promoting the application of SVM technology in the engineering field.

INTELLECTUAL SUPPORT OF THE STRATEGY OF SUSTAINABLE SOCIO-ECONOMIC DEVELOPMENT

The features of the formation and development of the economy are investigated, the fundamental component of which is the results of scientific research, embodied in functional materials, technologies, designs. The imperfection of the conceptual and terminological apparatus used to analyze the economic development of systems of various levels is shown. Methodological approaches to innovative functioning using convergent technologies are considered. The expediency and efficiency of creating cluster structures, including various institutional components, for generating innovations with a high level of consumer characteristics are shown. The analysis of the directions of development of the cluster approach in the post-Soviet economic complexes is carried out. The expediency of the formation of scientific, educational and industrial cluster structures, allowing to achieve synergistic effects due to the integration of intellectual resources, is shown. The concept of convergence of various directions of intellectual activity of the institutional components of economic and social systems is proposed.

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.