Regional Leading Industry Selection based on an Extended Fuzzy VIKOR Approach

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Decision Making ◽  
Industrial Development ◽  
Industrial Structure ◽  
High Tech ◽  
Fuzzy Vikor ◽  
Leading Industry ◽  
Industrial Planning ◽  
Development Data ◽  
Industrial Economic

To improve the deployment and optimization of the industrial structure, researchers and practitioners have performed a variety of researches in terms of regional leading industry selection based on AO Hirschman, Rostow and Miyohei’s principles. The criteria and methods employed in previous studies are mainly based on the mass industrial development data, leading to the limitation of study on the application in new high-tech district and underdeveloped regions. Due to lack of industrial data and detail industry information, it is difficult to employ the deterministic regional industry selection model. Therefore, an extended fuzzy-VIKOR approach that the expert-based and trapezoidal fuzzy number decision-making techniques, embedded into the VIKOR steps is proposed. It is developed to solve the regional leading industry selection problems concerning industrial, economic, social and environmental dimensions. Finally, a case study for the industrial planning of a high-tech zone is applied to verify the proposed decision-making approach.

The Increasing Role of the Real Sector in Building a Post-Industrial Economic System

2021 ◽  
Vol 26 (12) ◽  
pp. 1367-1371
Author(s):  
A. S. Shatrovskaya
Keyword(s):  
Economic System ◽  
Industrial Development ◽  
High Tech ◽  
Real Sector ◽  
The Real ◽  
Services Sector ◽  
National Economic ◽  
Post Industrial ◽  
Industrial Economic

Aim. The presented study aims to examine international experience and current domestic practices to develop scientifically grounded proposals for Russia’s transition towards a post-industrial economic system based on the integration between the real sector and the high-tech services sector in the context of globalization.Tasks. The authors analyze the classical foundations of the post-industrial economic system and develop a mechanism for its formation under modern conditions; determine the key characteristics of the real sector and characterize its relationship with the financial sector and the services sector in the process of building and developing a post-industrial economic system; identify the fundamental problems that hinder Russia’s transition towards a post-industrial economic system; identify the key elements of the modernization of the national economic policy aimed at strengthening innovation susceptibility and transparency, which is an essential prerequisite for the transition towards a postindustrial economic system; justify the need for the formation of a high-tech real sector and its integration with the high-tech services sector within the framework of a systemic production process.Methods. This study critically analyzes the classical concepts of a post-industrial economic system that determines the behavior of economic entities at various levels as well as existing views on the mechanism of its construction. Analytical tools are used to propose a modification of the fundamentals of the transition towards a post-industrial economic system in the context of global competition and economic instability. The related directions of changes in the national economic policy are substantiated and their target function is determined.Results. The study, which is aimed at building a post-industrial economic system, shows the increasing role of the high-tech real sector and its relationship with the high-tech services sector. This allowed the authors to justify the necessity of forming a single conceptual model of the systemic production process that would unite all high-tech sectors of the economy, with the predominant development of the real sector. The implementation of such a model will ensure Russia’s transition towards a post-industrial economic system, taking into account the opportunities and risks introduced by globalization.Conclusions. The prospects for the post-industrial development of the Russian economy and the regulatory role of the government as the manager of post-industrial development on the basis of the increasing role of the real sector are determined.

A Case Study on Coal Industry of Shanxi Province in China: Empirical Analyses of Holding Power of the Resource-Based Region-Leading Industry over Regional Employment

2014 ◽  
Vol 525 ◽  
pp. 779-782 ◽  
Author(s):  
Wei Hua Du
Keyword(s):  
Industrial Structure ◽  
Coal Industry ◽  
Shanxi Province ◽  
Holding Power ◽  
Property Right Reform ◽  
Leading Industry ◽  
Deviation Degree ◽  
The Government ◽  
Coal Property

The paper made unary linear regression and structure deviation degree analyses with the data of Shanxi province in China from 1992 to 2010. The results show that when the coal output increases by 1% , the employment will increase by 1.202%. And the structure deviation degree in the coal industry fell from-0.11 to-0.56 between 1992 and 2001, then it aggrandized to - 0.15 in 2010. Which presented a note of discord surfaced during industrial structure and employment structure adjusting in Shanxi province. This suggests that there are the disguised unemployment within the coal industry. So this paper emphasizes that the government should implement the coal property right reform policy, and simultaneously develop effective measures to guide the workers to flow from the coal industry to the other secondary industries or the third industry.

Uncovering Family Treatment Decision-Making Processes: The Value and Application of Case Study Methods to Family Research

2021 ◽  
pp. 107484072098722
Author(s):  
Ginny L. Schulz ◽  
Katherine Patterson Kelly ◽  
Jane Armer ◽  
Lawrence Ganong
Keyword(s):  
Decision Making ◽  
Treatment Decision ◽  
Family Processes ◽  
Study Methods ◽  
Treatment Decision Making ◽  
Data Collection And Analysis ◽  
Development Data ◽  
Decision Making Processes ◽  
Case Study Methods

Research on how and why family processes influence phenomena is essential to advancing many areas of science. Case study methods offer an approach that overcomes some of the sampling and analysis obstacles researchers face when studying families. This article aims to illustrate the benefits of case study methods for studying complex family processes using an example from treatment decision-making in sickle cell disease. Using survey, observation, and interview data from various family members within multiple family units, we detail our application of the following analytic strategies: (a) proposition-building, (b) pattern-matching, and (c) cross-case synthesis. Incorporating propositions from a conceptual framework assisted us in study development, data collection, and analysis. Development of graphs and matrices to create thematic family profiles uncovered how and why treatment decision-making occurred as a family process in a pediatric chronic illness. Case study methods are an established, but innovative approach to investigating various phenomena in families.

scholarly journals Economic Information Analysis and Its Application in Decision-Making under the Background of Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Simin Chen ◽  
Ieong Sanweng
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Industrial Development ◽  
Information Analysis ◽  
Running Speed ◽  
Economic Information ◽  
Internet Age ◽  
Economic Decision Making ◽  
Service Role ◽  
Industrial Economic

In the Internet age, data information is expanding at an alarming rate, and at the same time, it is showing a trend of diversification and fragmentation. How to make reasonable use of this intricate information and effectively use it in the work to give full play to the value of big data (BD) seems urgent. Based on this, this paper studies the economic information analysis and decision-making system under the background of BD. This article first analyzes the development status of our country’s industrial economic decision-making technology, then studies the service role of BD on macroeconomic decision-making in industrial development, then conducts an in-depth study of industrial economic information analysis methods and trends, and designs an industrial economic information model. Finally, this article tested the running speed and interactive function of the system. The test results show that the running speed of the system is very fast, and the interactive function is very accurate.

scholarly journals Research on Development Strategy of Industrial Transformation and Upgrading Demonstration Base in Guangdong-Hong Kong- Macao Greater Bay Area-- A Case Study of Xintai Group “Gold Town”

2021 ◽  
Vol 251 ◽  
pp. 01084
Author(s):  
Luo Lisheng
Keyword(s):  
Local Government ◽  
Development Strategy ◽  
Industrial Development ◽  
Industrial Structure ◽  
Industrial Transformation ◽  
Bay Area ◽  
Leading Enterprises ◽  
Gold Industry ◽  
Jewelry Industry

A “Gold town” is a characteristic town featuring gold industry and being operated by leading enterprises. Xintai Group in gold and jewelry industry has launched a “Gold Town” project in Houjie, Dongguan, Guangdong by taking advantage of its own capital and technology, seizing the opportunity of gold and jewelry industry transformation and gathering the strength of traditional gold and jewelry industry in Houjie. “Gold Town” is a key project supported by the local government in response to the national call. When setting up this project, Xintai Group introduced the characteristic development concept of European towns and optimized its own industrial structure, and meanwhile it aimed to build an industrial ecological base of gold and jewelry town and aggregate industrial development resources. This project has been partially completed and the first phase has been transferred to the production and operation stage. Therefore, it is of great significance for both Xintai Group and the local government to explore the appropriate development strategy of the “Gold Town” project.

Uncovering driving forces of co-benefits achieved by eco-industrial development strategies at the scale of industrial park

2019 ◽  
Vol 31 (2) ◽  
pp. 275-290 ◽  
Author(s):  
Yongsheng Lin ◽  
Zhe Liu ◽  
Rui Liu ◽  
Xiaoman Yu ◽  
Liming Zhang
Keyword(s):  
Energy Consumption ◽  
Hybrid Model ◽  
Industrial Development ◽  
Industrial Structure ◽  
Driving Forces ◽  
Development Strategies ◽  
Policy Implications ◽  
Industrial Park ◽  
Consumption Efficiency

Co-benefits are used to reflect multiple important benefits that could be achieved by a single policy or measure. In recent years, researches on co-benefits have developed rapidly in various fields, but there is limited research associated with eco-industrial development. In order to investigate the driving forces of co-benefits in the field of eco-industrial development, this study established an emergy-based hybrid model for such a research objective. In order to verify this model, Suzhou industrial park in China has been selected as a case study. The results showed that co-benefits achieved in 2015 through eco-industrial development-based strategies in Suzhou industrial park were more than that were in 2010. Waste reutilization environmental efficiency effect was the most significant positive driving forces, while energy consumption efficiency effect had the least impact on generating co-benefits in Suzhou industrial park. Policy implications such as strengthening eco-industrial network and further industrial structure promotion are proposed.

scholarly journals UNCERTAINTY MODELLING OF CITIZEN-CENTERED GROUP DECISION MAKING USING FUZZY-VIKOR CASE STUDY: SITE SELECTION OF HEALTHCARE SERVICES

2019 ◽  
Vol XLII-4/W18 ◽  
pp. 809-814
Author(s):  
Z. Neisani Samani ◽  
A. A. Alesheikh
Keyword(s):  
Decision Making ◽  
Urban Planning ◽  
Expert Knowledge ◽  
Healthcare Services ◽  
Fuzzy Vikor ◽  
Case Study Site ◽  
Decision Making Processes ◽  
Comparison Of The Results ◽  
Selection Of

Abstract. The participation of citizens in decision-making processes is one of the main concerns in urban planning. People’s contributions increase the usability and efficiency of urban facilities. Hospitals and healthcare services are among the most important public facilities that citizens require. This paper aims to improve an approach that could locate the hospitals according to the citizens’ preferences. Decision-making process in this situation should consider the uncertainties exist in any steps of decisions-making. In this regard, this paper applied Fuzzy-VIKOR method that is appropriate to model such kind of uncertainty. The proposed method was accomplished in Districts 6 of Tehran province. The achieved results were compared with each other in two different scenario (using expert knowledge and citizens’ satisfaction). The comparison of the results showed that the more suitable distribution and density of proposed sites for hospitals must be observed if the citizens’ perspectives were considered. Also, the proposed sites with experts follow urban planning principals rather than the second case.

scholarly journals The Optimization Problem of Product Mix and Linear Programming Applications: Case Study in the Apparel Industry

2017 ◽  
Vol 2 (2) ◽  
Author(s):  
Gera Workie Woubante
Keyword(s):  
Decision Making ◽  
Linear Programming ◽  
Inventory Management ◽  
Industrial Development ◽  
Optimization Problem ◽  
Management Decision ◽  
Product Mix ◽  
Use Of Resources ◽  
Customer Orders

Industrial development strategy is characterized by the efficient use of resources at every production stage. The analysis and efficient utilization of resources are made sustainable by effective management decision making techniques employed in the industry. A quantitative decision making tool called linear programming can be used for the optimization problem of product mix. Understanding the concept behind the optimization problem of product mix is essential to the success of the industry for meeting customer needs, determining its image, focusing on its core business, and inventory management. Apparel manufacturing firms profit mainly depends on the proper allocation and usage of available production time, material, and labor resources. This paper considers an apparel industrial unit in Ethiopia as a case study. The monthly held resources, product volume, and amount of resources used to produce each unit of product and profit per unit for each product have been collected from the company. The data gathered was used to estimate the parameters of the linear programming model. The model was solved using LINGO 16.0 software. The findings of the study show that the profit of the company can be improved by 59.84%, that is, the total profit of Birr 465,456 per month can be increased to Birr 777,877.3 per month by applying linear programming models if customer orders have to be satisfied. The profit of the company can be improved by 7.22% if the linear programming formulation does not need to consider customer orders.

scholarly journals Empowering Newcomers with Low-Tech Workshops and High-Tech Analyses

2014 ◽  
Vol 10 (3) ◽  
Author(s):  
Katia Balassiano ◽  
Christopher J. Seeger
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Spatial Modeling ◽  
High Tech ◽  
Common Goal ◽  
Public Meetings ◽  
Modeling Process ◽  
Access Information

Newcomer participation in governance is a common goal, but many traditional venues and mechanisms designed to facilitate inclusive decision-making remain inaccessible. We present a case study that uses low-tech participatory mapping workshops to help newcomers learn where people go to discuss local affairs and access information. We then analyze the workshop data with a dynamic, high-tech, Geographic Information Systems (GIS) spatial modeling process. The maps generated can be used to identify more inclusive venues for public meetings. This article describes the replicable workshop methodology, analytic tools, and benefits that result from using the two in concert.

Sign in / Sign up

Export Citation Format

Share Document