scholarly journals The Relative Importance of Determinants of the Solar Photovoltaic Industry in China: Analyses by the Diamond Model and the Analytic Hierarchy Process

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6600
Author(s):  
Tiantian Zhang ◽  
Ken’ichi Matsumoto ◽  
Kei Nakagawa
Keyword(s):  
Analytic Hierarchy Process ◽  
Firm Strategy ◽  
Solar Photovoltaic ◽  
Relative Importance ◽  
Labor Costs ◽  
Analytic Hierarchy ◽  
Diamond Model ◽  
Demand Condition ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Within China’s renewable energy industry, the importance of the solar photovoltaic industry has been increasingly recognized. Many Chinese provinces have adopted various measures to develop the solar photovoltaic industry. This study used the diamond model and the analytic hierarchy process to clarify the relative importance of the determinants of the development of the solar photovoltaic industry. A total of 22 determinants in six categories (i.e., factor condition; demand condition; firm strategy, structure, and rivalry; related and support industries; government; and chance) were analyzed. The results show that besides factor condition, demand condition and firm strategy, structure, and rivalry have also had a strong influence on the development of China’s photovoltaic industry. The findings also indicate that some traditional factors, such as labor costs and acquiring land, are very important to the development of the solar photovoltaic industry. The relative importance of the determinants clarified through this study provides a standard for the actions of policymakers and decision makers.

scholarly journals PRACTICAL ISSUES OF USING THE ANALYTIC HIERARCHY PROCESS IN MULTI-CRITERIA ANALYSIS OF PORTFOLIO ALTERNATIVES

2016 ◽  
Vol 2 (1) ◽  
pp. 223-227 ◽  
Author(s):  
Наумов ◽  
Andrey Naumov ◽  
Щенятская ◽  
Marina Shchenyatskaya
Keyword(s):  
Analytic Hierarchy Process ◽  
Management Practice ◽  
Pairwise Comparison ◽  
Relative Importance ◽  
Analytic Hierarchy ◽  
Analysis Process ◽  
Hierarchy Analysis ◽  
Multi Criteria Analysis ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Hierarchy analysis process is one of the most used methods of decision-making in investment analysis, which successfully combines formalization and transparency of the procedures with the reliability of the result. In the paper the key stages of the practical issues of using the analytic hierarchy process in multi-criteria analysis of portfolio alternatives are focused. The expediency of multilevel hierarchical decomposing of comparison criteria is presented, the procedures used for quantify the consistency of pairwise comparisons are shown, the critical analysis of the scale of relative importance was made. Some controversial aspects of practical use of the analytic hierarchy process, which met with a number of organizational and mathematical difficulties, such as the inconsistency determination in matrices of pairwise comparison and reasonable simplifying of the traditional scale of relative importance were discussed. Guidelines for effective solution of the issues above using approximate calculation of eigenvectors and rationalization of the scale shown on the basis of experience of foreign researchers and the author´s analysis. Main paper´s results allow better use of the applied analytic hierarchy process and more active implement it in management practice.

Relative importance of risk factors for spruce beetle outbreaks

1994 ◽  
Vol 24 (10) ◽  
pp. 2089-2095 ◽  
Author(s):  
K.M. Reynolds ◽  
E.H. Holsten
Keyword(s):  
Risk Factors ◽  
Analytic Hierarchy Process ◽  
Expert Knowledge ◽  
Rocky Mountain ◽  
Relative Importance ◽  
Analytic Hierarchy ◽  
The Past ◽  
Spruce Beetle ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Nine factors were initially suggested by spruce beetle (Dendroctonusrufipennis (Kby.)) experts in Alaska as potentially important in determining the risk of a spruce beetle outbreak in stands. Factors suggested were stand hazard, size and trend of spruce beetle population in neighboring stands, degree–days in the past June, total rainfall in the past summer, and availability of four types of breeding material. Risk factors were organized into a hierarchical model of spruce beetle risk, and the relative importance of factors for determining risk was analyzed in three stages with the analytic hierarchy process. This process derives subjective estimates of factor importance values through a process of pair-wise comparisons. Analysis in stage 1 involved independent responses of two experts from Alaska. In stage 2, three experts from Alaska provided responses as a group. In stage 3, five experts, representing Alaska, British Columbia, and the Rocky Mountain region, provided responses as a group. In the final stage of analysis, stand hazard and windthrown trees were identified as the two most important factors determining risk of a spruce beetle outbreak. Hazard and windthrow were considered about equally important and together accounted for almost two-thirds of the total allocation of importance values among risk factors. The analytic hierarchy process is an effective method for eliciting expert knowledge and can be a useful tool for development of expert systems in natural resource management, where even expert knowledge is often incomplete.

Index of suicide risk in Mexico using Twitter

2019 ◽  
pp. 1-13
Author(s):  
Luz Judith Rodríguez-Esparza ◽  
Diana Barraza-Barraza ◽  
Jesús Salazar-Ibarra ◽  
Rafael Gerardo Vargas-Pasaye
Keyword(s):  
Social Networks ◽  
Analytic Hierarchy Process ◽  
Suicide Risk ◽  
Opinion Mining ◽  
Real Data ◽  
Analytic Hierarchy ◽  
Specialized Care ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Objectives: To identify early suicide risk signs on depressive subjects, so that specialized care can be provided. Various studies have focused on studying expressions on social networks, where users pour their emotions, to determine if they show signs of depression or not. However, they have neglected the quantification of the risk of committing suicide. Therefore, this article proposes a new index for identifying suicide risk in Mexico. Methodology: The proposal index is constructed through opinion mining using Twitter and the Analytic Hierarchy Process. Contribution: Using R statistical package, a study is presented considering real data, making a classification of people according to the obtained index and using information from psychologists. The proposed methodology represents an innovative prevention alternative for suicide.

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