scholarly journals Does an Ecological Industry Chain Improve the Eco-Efficiency of an Industrial Cluster? Based on Empirical Study of an Energy-Intensive Industrial Cluster in China

2019 ◽  
Vol 11 (6) ◽  
pp. 1651 ◽  
Author(s):  
Jiliang Zheng ◽  
Xiaoting Peng
Keyword(s):  
Building Materials ◽  
Thermal Power ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Two Dimensions ◽  
Evaluation Index System ◽  
Industry Chain ◽  
Ecological Industry ◽  
Metallurgy Industry ◽  
Energy Intensive Industries

An energy-intensive industrial cluster is a combination and integration of energy-intensive industries formed by ecological industry chains. Eco-efficiency may reflect the effect of ecological industry chains in an energy-intensive industrial cluster. To evaluate the eco-efficiency of energy-intensive industries, industry chains, and industrial clusters with different level of eco-industry chains, the eco-efficiency is decomposed into two dimensions of resource efficiency and environment efficiency. The eco-efficiency evaluation index system and models of energy-intensive industries are constructed to analyze the eco-efficiency using a two-dimensional three-layer matrix framework, including energy-intensive industries, ecological industry chains, and industrial clusters. This paper presents an empirical and comparative analysis based on data from the chemical industry, building materials industry, metallurgy industry, and thermal power industry from 2004 to 2015. The results show that the eco-efficiency of energy-intensive industry, energy-intensive industry chains, and energy-intensive industrial clusters are all on the rise. The eco-efficiency of energy-intensive industrial clusters and energy-intensive industry chains are obviously higher than that of any single energy-intensive industry. This finding indicates that the ecological industry chains of an energy-intensive industrial cluster have improved the eco-efficiency. In recent years, the effect of ecological industry chains and network construction has been significant, but not tight enough.

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.

Development Status and Competitiveness Analysis of Automobile Industrial Cluster in Xiangyang

2012 ◽  
Vol 442 ◽  
pp. 172-175
Author(s):  
Fen Wang
Keyword(s):  
Automotive Industry ◽  
Automobile Industry ◽  
Swot Analysis ◽  
Rapid Development ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Analysis Method ◽  
Industry Chain ◽  
Seat Angle ◽  
New Energy

The automotive industry has long industry chains, supporting links and complex-round about methods of production. This article uses SWOT analysis method to analyze in detail the current situation, characteristics and prospect of Xianyang automobile industrial clusters development. Xiangyang has the definitely advantage of new energy and the biggest seat angle adjustment of Hubei. the essay points out that promote strategy advices of automobile industrial cluster rapid development in Xiangyang includes three aspects: optimize and adjust the inner industry structure, describe a refinement of the industry chain, coordinate development of automobile industry with Wuhan, Shiyan and etc.

scholarly journals Evaluation of regional industrial cluster innovation capability based on particle swarm clustering algorithm and multi-objective optimization

2021 ◽  
Author(s):  
Yongcai Yan ◽  
Mengxue He ◽  
Lifang Song
Keyword(s):  
Clustering Algorithm ◽  
Particle Swarm ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Evaluation Index System ◽  
Industrial System ◽  
Innovation Capability ◽  
Multi Objective Optimization ◽  
Regional Cluster ◽  
Innovation Ability

AbstractWith the progress of the times and the development of science, industrial clusters have been regarded by all countries in the world as one of the important ways to enhance regional competitiveness, and become an inevitable trend of industrial development. The research on the innovation ability of industrial clusters can not only maintain sustainable development of industrial clusters and obtain sustained competitive advantages, but also provide reference for the government's policy formulation of industrial clusters. This paper aims to study the evaluation of regional industrial clusters' innovation capability based on particle swarm clustering and multi-objective optimization. This paper uses the theory of industrial cluster innovation and takes regional industrial system as the empirical research object to establish a regional industrial system capability evaluation system, which is based on the selection of indicators, combined with analytic hierarchy process and factor analysis to evaluate industrial innovation capability. On this basis, the particle swarm clustering theory is used to verify the innovation ability and evaluation index system of industrial clusters, and provide a reference for the evaluation of the innovation ability of industrial clusters. This paper divides the regional cluster innovation capability into four aspects: innovation input capability, environment support capability, self-development capability and innovation output capability, and systematically analyzes the key elements and in the composition of innovation elements and their relationships. It then constructs the evaluation index system of regional cluster innovation capability. At the same time, this paper introduces clustering analysis algorithm and swarm intelligence algorithm into regional innovation evaluation, combines particle swarm optimization algorithm and K-means clustering algorithm, and optimizes particle swarm clustering algorithm by adjusting adaptive parameters and adding fitness variance. The experimental results of this paper show that from the results of the tested innovation potential of the three industrial clusters, industrial cluster F has the strongest innovation ability, with an evaluation coefficient of 0.851, followed by industrial cluster F, which has a value of 0.623. This result is consistent with the actual innovation status of the selected industry. From this point of view, the established particle swarm clustering model for evaluating the innovation capability of regional industrial clusters is reliable and can be used to evaluate the innovation capability of different industrial clusters.

Model Construction and Degree Distribution of Industrial Cluster Complex Network

2013 ◽  
Vol 765-767 ◽  
pp. 1498-1501
Author(s):  
Li Jun Wang ◽  
Lei Wen
Keyword(s):  
Complex Network ◽  
Degree Distribution ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Cluster Complex ◽  
Distribution Characteristics ◽  
Power Law Distribution ◽  
Initial Node ◽  
Industry Chain ◽  
Cluster Network

Industrial cluster is a complex network composed of different enterprises in the industry chain. Based on BA and LC network, this paper designs a cluster complex network model, and analyzes its distribution characteristics. The result shows that the industrial cluster network degree obeys power-law distribution, while the size of the industrial clusters initial node can influence the degree distribution.

TRACE ELEMENT ANALYSIS OF FLY ASH BY PIXE

1999 ◽  
Vol 09 (03n04) ◽  
pp. 417-422 ◽  
Author(s):  
V. VIJAYAN ◽  
S. N. BEHERA
Keyword(s):  
Fly Ash ◽  
Trace Element ◽  
Power Plants ◽  
Building Materials ◽  
Thermal Power ◽  
Trace Element Analysis ◽  
Chemical Properties ◽  
Solid Material ◽  
Thermal Power Plants ◽  
Element Analysis

Fly ash is a major component of solid material generated by the coal-fired thermal power plants. In India the total amount of fly ash produced per annum is around 100 million tonnes. Fly ash has a great potential for utilization in making industrial products such as cement, bricks as well as building materials, besides being used as a soil conditioner and a provider of micro nutrients in agriculture. However, given the large amount of fly ash that accumulate at thermal power plants, their possible reuse and dispersion and mobilization into the environment of the various elements depend on climate, soils, indigenous vegetation and agriculture practices. Fly ash use in agriculture improved various physico-chemical properties of soil, particularly the water holding capacity, porosity and available plant nutrients. However it is generally apprehended that the application of large quantity of fly ash in fields may affect the plant growth and soil texture. Hence there is a need to characterize trace elements of fly ash. The results of trace element analysis of fly ash and pond ash samples collected from major thermal power plants of India by Particle Induced X-ray Emission (PIXE) have been discussed.

scholarly journals Research on Cooperative Innovation Behavior of Industrial Cluster Based on Subject Adaptability

2016 ◽  
Vol 2016 ◽  
pp. 1-19 ◽  
Author(s):  
Xiaohui Jia ◽  
Minghui Jiang ◽  
Lei Shi
Keyword(s):  
Steady State ◽  
Evolutionary Game ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Government Support ◽  
Correlated Equilibrium ◽  
Game Model ◽  
Cooperative Innovation ◽  
The Cost ◽  
The Impact

From the perspective of the interactive cooperation among subjects, this paper portrays the process of cooperative innovation in industrial cluster, in order to capture the correlated equilibrium relationship among them. Through the utilization of two key tools, evolutionary stable strategy and replicator dynamics equations, this paper considers the cost and gains of cooperative innovation and the amount of government support as well as other factors to build and analyze a classic evolutionary game model. On this basis, the subject’s own adaptability is introduced, which is regarded as the system noise in the stochastic evolutionary game model so as to analyze the impact of adaptability on the game strategy selection. The results show that, in the first place, without considering subjects’ adaptability, their cooperation in industrial clusters depends on the cost and gains of innovative cooperation, the amount of government support, and some conditions that can promote cooperation, namely, game steady state. In the second place after the introduction of subjects’ adaptability, it will affect both game theory selection process and time, which means that the process becomes more complex, presents the nonlinear characteristics, and helps them to make faster decisions in their favor, but the final steady state remains unchanged.

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.

The Commercial Potentials of Underground Natural Gas Storage in Nigeria

2021 ◽  
Author(s):  
Adedamola Adegun ◽  
Femi Rufai
Keyword(s):  
Natural Gas ◽  
Power Plants ◽  
Thermal Power ◽  
Gas Storage ◽  
Industrial Clusters ◽  
Domestic Market ◽  
Underground Gas Storage ◽  
Natural Gas Storage ◽  
Hydro Power ◽  
Energy Mix

Abstract Nigeria is the 2nd biggest natural gas producer in Africa, with much of it exported as LNG, some re-injected while a small fraction serves the domestic market. The volume supplied to the domestic market plays an outsized role in the energy mix and economy of Nigeria with over 90% supplied to thermal power plants and industrial clusters. As huge upstream gas projects continue to take Final Investment Decision, pipeline takeaway capacity grows and demand increases, the dependence on natural gas and preponderance in the energy mix will likely persist. Natural gas is the present and future of Nigeria's energy needs. The domestic gas industry is evolving but has been fraught with challenges. Oil and gas infrastructure are often disrupted and production shut-in, mostly triggered by infrastructure unavailablity, environmental concerns and prioritisation of hydro power generation during River Niger's white and black floods, all of which come at a cost to upstream producers. Gas producers are often compelled to curtail production of gas plants (associated and non-associated) to avoid environmental disasters and prohibitive gas flare penalties. Can underground gas storage (UGS) be an opportunity for gas producers to guarantee continued operations during disruptions and provide buffer for national strategic benefits? This paper seeks to explore the potential technical and economic dynamics of underground natural gas storage in Nigeria in the context of extant technical regulations, seasonal demand variations, gas flare penalties and local operating environment. The paper presents types of underground storages and recommends the most suitable, considers options for optimal location of UGS in Nigeria and undertakes an economic evaluation of a UGS project. The findings are further presented alongside the critical technical, regulatory and fiscal factors that may facilitate future investments and growth of underground gas storage in Nigeria.

OPPORTUNITIES FOR THE FORMATION OF INTEGRATION SYSTEMS IN THE AGRO-INDUSTRIAL COMPLEX

2021 ◽  
Vol 2 (5) ◽  
pp. 47-54
Author(s):  
A. L. ABLYAMITOVA ◽  
Keyword(s):  
Structural Model ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Industrial Complex ◽  
Specific Product ◽  
Regional Cluster ◽  
Proposed Model ◽  
Business Entities ◽  
The Village ◽  
Theoretical Foundations

The paper substantiates the theoretical foundations of the formation of agricultural territorial-industrial cluster associations, the mechanism of their effective functioning and ensuring the competitiveness of integrated business entities. The structural model of the regional association of agro-industrial clusters and cooperatives is justified. The proposed model of regional cluster integration includes industry-specific product clusters. It is proposed to create an agricultural service cooperative at the village level, and a multifunctional service cooperative at the district level.

Pressed Composites Based on Gypsum and Magnesia Binders Modified with Secondary Resources

2020 ◽  
Vol 1011 ◽  
pp. 52-58
Author(s):  
A. Kaklyugin ◽  
Nonna Stupen ◽  
Lubov Kastornykh ◽  
Viktor Kovalenko
Keyword(s):  
Power Plants ◽  
Building Materials ◽  
Water Resistance ◽  
Calcium Phosphates ◽  
Thermal Power ◽  
Building Envelope ◽  
Secondary Resources ◽  
Combined Structure ◽  
Fine Crystalline Structure ◽  
Artificial Stone

The results of the studies aimed at increasing the water resistance of the pressed building materials based on gypsum and magnesia binders due to their modification with active dispersed fillers from secondary resources are presented. The gypsum binder modification was carried out by the joint introduction of carbonate-containing sludge from it into the chemical treatment of thermal power plants and monoammonium phosphate, and of magnesia cement - silica fume and finely ground burnt mines. Physical and mechanical characteristics of the materials’ control samples were determined according to the standards and generally accepted methods. The increase in water resistance of the pressed modified composites was evaluated by changing the softening coefficient. It is shown that when using gypsum binders, an increase in the water resistance of products based on them can be achieved by changing the structure formation of the pressed material and the formation on the elements’ surface of its fine-crystalline structure of the sparingly soluble calcium phosphates’ screening protective films. The increase in water resistance of pressed products made of modified magnesia binders is explained by the appearance of insoluble hydro silicates, hydro aluminates and hydro aluminosilicates of magnesium, in the structure of the hardened artificial stone as well as the formation of a complex combined structure containing coagulation, condensation and crystallization phases. The technical characteristics of the materials obtained are sufficient for their use, in particular, in the building envelope. The possibility of replacing a significant amount of binders with secondary resources has been identified. This allows not only to increase the water resistance of the pressed products on the basis of the proposed modified binders, but also to reduce their cost, as well as free up the land allocated for dumps.

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