A research on the cluster competitiveness evaluation of the Chinese automobile industry based on cuckoo-AHP

2016 ◽  
Vol 10 (4) ◽  
pp. 746-769 ◽  
Author(s):  
Xiujie Wang ◽  
Jian Liu ◽  
Can Ma
Keyword(s):  
Automobile Industry ◽  
Evaluation Method ◽  
Industrial Cluster ◽  
Cuckoo Search ◽  
Evaluation Methods ◽  
Industrial Clusters ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Content Type ◽  
Cluster Development

Purpose The purpose of this study is that on the basis of the competitive edge theory, source mechanism and evaluation approaches of industrial cluster competitiveness, combined with international trends in the automobile industry and the features of Chinese automobile industrial cluster development, an evaluation index system about cluster competitiveness of auto industry is built with comprehensive consideration of factors such as cluster development environment, external scale effect and internal competitiveness from the perspective of value chain of automobile industry. Design/methodology/approach An evaluation index system for automobile industrial cluster competitiveness was realized by integrating current strengths and future growth capacities with multidimensional, dynamic and comprehensive characteristics, which included 3 second-level, 10 third-level and 16 fourth-level indices. In the light of evaluation methods, a group intelligence optimization algorithm – (cuckoo search) – and traditional methods of complex decision-making system – analytic hierarchy process (AHP) – were combined to propose the cuckoo-AHP evaluation method. It was applied for the calculation and optimization of weight values in an automobile industrial cluster competitiveness evaluation index for the purpose of obtaining better scientific and more reliable results. Findings The research might further enrich the evaluation theory of automobile industrial cluster competitiveness and also can be useful for showing how traditional evaluation methods can be combined with intelligent algorithms to carry out better automobile industrial cluster competitiveness evaluations. In addition, studies of channels for kick-starting Chinese auto industrial cluster competitiveness are expected to provide references for how to enhance the cluster competitiveness of the Chinese automobile industry. Practical implications Changsha and Liuzhou, the Guangxi automobile industrial clusters as the two empirical analysis objects selected for this paper, are geographically adjacent to each other. The automobile industries of the two cities are local pillar industries with the strong support of the local government. Both clusters have their own advantages and weak points with different characteristics of cluster development, and they enjoy a representative significance amongst China’s numerous auto industrial clusters that are taking shape. Comparative analysis of both clusters serves as a good reference for the objective evaluation of the competitiveness of Chinese automobile clusters in terms of their real and practical developments and in respect of the success of reasonable scientific and industrial cluster policies. Originality/value Multidimensional, dynamic, integrated evaluation index systems are constructed around automobile industrial cluster competitiveness, which has taken into account developments in current strengths and future growth capacity. The cuckoo-AHP evaluation method has been formed by combining the traditional decision-making method known as AHP with a new meta-heuristic optimization algorithm called “cuckoo search”. Both have been used in evaluations of automobile industrial cluster competitiveness in Liuzhou and Changsha, which will be beneficial for enriching automobile industrial cluster competitiveness evaluation theory and new evaluation methods that will enable better evaluations of automobile industrial cluster competitiveness.

scholarly journals Evaluation of regional low-carbon circular economy development: a case study in Sichuan province, China

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Meng Ye ◽  
Fumin Deng ◽  
Li Yang ◽  
Xuedong Liang
Keyword(s):  
Economic Development ◽  
Index System ◽  
Evaluation Method ◽  
Sichuan Province ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Low Carbon ◽  
Entropy Weight ◽  
Content Type ◽  
Development Level

Purpose This paper aims to build a scientific evaluation index system for regional low-carbon circular economic development. Taking Sichuan Province as the empirical research object, the paper evaluates its low-carbon circular economy (LCCE) development level and proposes policy recommendations for climate change improvement based on the evaluation results. Design/methodology/approach This paper, first, built an evaluation index system with 30 indicators within six subsystems, namely, economic development, social progress, energy consumption, low-carbon emissions, carbon sink capacity and environmental carrying capacity. Second, develop an “entropy weight-grey correlation” evaluation method. Finally, from a practical point of view, measure the development level of LCCE in Sichuan Province, China, from 2008 to 2018. Findings It was found that Sichuan LCCE development had a general downward trend from 2008 to 2012 and a steady upward trend from 2012 to 2018; however, the overall level was low. The main factors affecting the LCCE development are lagging energy consumption and environmental carrying capacity subsystem developments. Research limitations/implications This paper puts forward relevant suggestions for improving the development of a low-carbon economy and climate change for the reference of policymakers. Originality/value This paper built an evaluation index system with 30 indicators for regional low carbon circular economic development. The evaluation method of “entropy weight-grey correlation” is used to measure the development level of regional LCCE in Sichuan Province, China.

Study on the extension evaluation of smart logistics distribution of fresh agricultural products based on the perspective of customers

2022 ◽  
pp. 1-12
Author(s):  
Huipeng Li ◽  
Lin Lu ◽  
Liguo Yang
Keyword(s):  
Index System ◽  
Evaluation Method ◽  
Evaluation Methods ◽  
Agricultural Products ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Logistics Distribution ◽  
Smart Logistics ◽  
Intelligent Logistics ◽  
Extension Evaluation

The rapid development of the Internet has accelerated the expansion of e-commerce sacle of fresh agricultural products. The actual audience of smart logistics distribution of fresh agricultural products is customers, and customers enjoy the process and results of distribution services. However, the current research mainly selects indicators from the aspects of enterprise performance, cost and technical level based on the perspective of managers and technicians, which make it difficult to truly reflect customers’ feelings in the evaluation results. At the same time, the evaluation methods mainly focus on the comprehensive evaluation method and fuzzy evaluation method. These evaluation methods are greatly affected by subjective factors in the evaluation grade distribution, and the assignment is often relatively complete and inaccurate. To solve these problems, this paper constructs the evaluation index system of intelligent logistics distribution of fresh agricultural products from the perspective of customers, so that the selection of indicators is more in line with the real wishes of customers. And we use the extension function to construct the correlation function for multi-level extension evaluation to ensure the accuracy of the evaluation results. Taking X logistics enterprise as an example, this paper verifies the scientificity of the evaluation index system of intelligent logistics distribution of fresh agricultural products through empirical research, which has reference significance for further improving the intelligent logistics distribution of fresh agricultural products.

The Evaluation of Resources and Environment Attributes of Manufacturing Process Based on Scatter Degree Combination Evaluation Method

2010 ◽  
Vol 37-38 ◽  
pp. 1466-1472 ◽  
Author(s):  
Hua Zhang ◽  
Xu Gang Zhang ◽  
Yan Hong Wang
Keyword(s):  
Index System ◽  
Manufacturing Process ◽  
Evaluation Method ◽  
Evaluation Methods ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Evaluation Information

In order to evaluate the resources and environment attributes of manufacturing process, an IPO model and an evaluation index system are presented first. And then scatter degree combination evaluation method is proposed to solve the inconsistency produced by different evaluation methods. The evaluation results are more accurate by integration of several evaluation results and evaluation information of other evaluation methods. In the end, the validity of the method is confirmed by an example, evaluating a valve body’s resources and environment attributes of manufacturing process.

scholarly journals A multi-objective evaluation method based on connection numbers theory of hazardous chemical accidents emergency medical rescue capability

2019 ◽  
Vol 27 (3) ◽  
pp. 125-133
Author(s):  
Yapeng Wang ◽  
Jinguo Zhang ◽  
Yundou Wang ◽  
Xiaowen Xiong ◽  
Xin Zhao
Keyword(s):  
Index System ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Objective Evaluation ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Chemical Accidents ◽  
Hazardous Chemical ◽  
Emergency Medical ◽  
Partial Connection

Background: An objective, comprehensive and scientific evaluation of emergency medical rescue capability (EMRC) is of great realistic significance in assisting the health administrative department to grasp the overall response capability of all emergency medical rescue teams, enabling each team to have a full understanding of its own strengths and weakness and improve itself accordingly. At present, the research on the evaluation of EMRC in Hazardous Chemicals Accidents (HCA) is not systematic and in-depth, and the existing research results also have some shortcomings, such as, the lack of strong theoretical support for the evaluation index system, the relatively single function of evaluation methods, and so on. Objectives: The objective of this article is to research the evaluation index system and a new evaluation method of EMRC in HCA to overcome the above shortcomings. Methods: It establishes an emergency medical rescue capability model by employing the competency model and then constructs the evaluation index system on the basis of the analysis of all the factors of emergency medical rescue capability in hazardous chemical accidents and sets up an evaluation model based on the theory of connection numbers and partial connection numbers. It determines the competence ranking of several emergency medical rescue teams and the competence state of an individual emergency medical rescue team by calculating the connection principal value, and it also predicts how the emergency medical rescue capability will develop based on the values of partial connection numbers. Results: The example shows that the calculation process of this model is relatively simple, and its assessment results are objective and authentic, and moreover, its multi-functions can make up for the deficiency of the simplified function of other evaluation models. Conclusion: This method is scientific and rational to some extent and can provide reference for evaluation problems of the same kind.

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

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yawen Wang ◽  
Weixian Xue
Keyword(s):  
Risk Assessment ◽  
Early Warning ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Shaanxi Province ◽  
Support Vector ◽  
Content Type ◽  
Financing Risk ◽  
Yulin City ◽  
Warning Model

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.

Study on the Comprehensive Assessment of Controlling Efficiency of Engineering Project Based on Matter-Element and GAHP Model

2014 ◽  
Vol 638-640 ◽  
pp. 2446-2449 ◽  
Author(s):  
Bo Liu ◽  
Ju Qin Shen ◽  
Gao Yan Xu ◽  
Liang Tang ◽  
Zi Lin Xu ◽  
...  
Keyword(s):  
Analytical Method ◽  
Index System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Mathematic Model ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Engineering Project ◽  
Professional Qualification ◽  
Comprehensive Evaluation Method

With the aim to improve the controlling efficiency of engineering project, this essay probes into the comprehensive evaluation of controlling efficiency of engineering project and put forward scientific comprehensive evaluation method to provide support to reasonable comprehensive evaluation of controlling efficiency of engineering project. Complete comprehensive evaluation index system of controlling efficiency of engineering project is constructed from three aspects, i.e. implementation efficiency of construction objective, external coordination efficiency and professional qualification enhancement efficiency; based on matter-element analytical method, mathematic model that could evaluate controlling efficiency of engineering project comprehensively is constructed.

Cluster development policies and firms’ performance: evidence from an emerging economy in Latin America

2020 ◽  
Vol 12 (5) ◽  
pp. 687-726
Author(s):  
Diego Aboal ◽  
Marcelo Perera ◽  
Flavia Rovira
Keyword(s):  
Latin America ◽  
Impact Evaluation ◽  
State Of The Art ◽  
Positive Impact ◽  
Evaluation Methods ◽  
The Body ◽  
Maximum Effect ◽  
Content Type ◽  
Cluster Development ◽  
The Impact

Purpose Impact evaluations of cluster programs at firm level are still scarce in the literature. The available evidence on the effectiveness of such programs based on rigorous quantitative impact evaluations is mixed. The purpose of this paper is to contribute to the body of literature the evaluates quantitatively the impact of cluster programs in emerging economies on firms’ performance. In particular, the authors evaluate the impact of a cluster program in Uruguay on firms’ sales and exports. Design/methodology/approach The authors use state-of-the-art impact evaluation methods to evaluate the impact of the program. In particular, difference in differences and matching methods Findings There is very strong evidence that the program had a positive impact on exports and the propensity to export of firms. However, the evidence of a positive impact on sales is weak. The evidence suggests that the maximum effect of the program can be found in the fourth or fifth year after the intervention. Originality/value The contribution of this paper to the literature is fourfold. First, this paper adds to the scarce body of literature evaluating the effects of cluster development programs with state-of-the-art impact evaluation methods. Second, it adds evidence for Latin America, a region that has implement a number of cluster policies (Maffioli et al., 2016) and where, as far as the authors know, there is only one additional paper evaluating rigorously the impacts of them (Figal-Garone et al., 2015). In addition, the authors provide evidence about the timing of the effects after the implementation of a cluster policy, an important issue that is mostly overlooked in the existent literature. Finally, the paper focus its attention on the impacts on exports and the propensity to export of firms, key elements for small open economies in Latin America that are heavily reliant on foreign currency inflows.

Study on Evaluation Index System of Green Supply Chain for Automobile Products

2020 ◽  
pp. 231-240
Author(s):  
Rafia Khan
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Automobile Industry ◽  
Index System ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Green Supply Chain ◽  
Green Development ◽  
Whole Life Cycle

It is the focus of the automobile industry to guarantee the quality of automobiles and meet the requirements of green development. Based on the principle of sustainable development, according to the characteristics of green supply chain and the concept of the whole life cycle of the automobile, the evaluation index system of the green supply chain of the automobile is constructed from five links of design, purchase, production, sale, and recycling. The “green” runs through the whole life cycle of automobile products and evaluates the green supply of automobile products scientifically and accurately. Reference should be provided for the situation.

Sign in / Sign up

Export Citation Format

Share Document