臺灣博碩士論文加值系統

本研究旨在確定環境變化準備的總體發展軌跡。研究領域是商業和管理，決策科學和經濟學。本研究通過中介性分群法和主路徑分析法，以兩種主要的引文網絡技術分析2949篇學術論文，探討以下四大研究議題:1）消費者支付有機和環保產品的意願，2）環境商品的估價，3）條件價值評估方法，4）綠色消費主義和消費者環境行為。而本研究結果顯示，條件價值評估是環境變化準備的基礎，該方法用於評價環境商品和環保產品。此外，本研究結果指出，氣候變化可能成為環境變化準備研究的新軌道。

This study is a tentative to identify the overall development trajectory of readiness for environmental change. the areas of study are business and management, decision science and economics. In this study, 2949 academic papers are analyzed by two major citation network technics: Edge-betweeness clustering and Key-route main path. Four important topics have been identified: 1) Consumer willingness to pay for organic and eco-friendly products, 2) Valuation of environmental goods, 3) Contingent valuation method, 4) Green consumerism and consumer environmental behavior. The results show that the contingent Valuation is the base of readiness for environmental change, this method is used to value environmental goods and eco-friendly products. The results also show that climate change will likely be a new track of research in readiness for environmental change.

Title Page i
Letter of Approval ii
Letter of Authority iii
Abstract in Chinese iv
Abstract in English v
Acknowledgements vi
Table of Contents vii
List of Tables ix
List of Figures x
Chapter 1 Introduction 1
1.1- Background and motivation 1
1.2- Research objectives 2
1.3- Research questions 3
Chapter 2 Literature review 4
2.1- The concept of readiness 4
2.2- Environmental change 4
2.3- Causes of environmental change 6
2.3.1- Natural ecological processes 6
2.3.2- Human activities 10
2.4- Effects of environmental Change 13
2.4.1- Effects on Human beings 13
2.4.2- Effects on businesses and economic activities 14
2.5- Readiness for environmental change 14
2.5.1- Environmental goods 15
2.5.2- Contingent Valuation 16
Chapter 3 Methodology 17
3.1- Research Framework 17
3.2- Citation network 17
3.2.1- Traversal counts and influence weight 18
3.3- Edge-betweeness Clustering 20
3.4- Key-route main path analysis 21
3.5- Data Source 22
3.6- Basic statistics 23
Chapter 4 Results 25
4.1- Data extraction with keywords 25
4.2- Basic statistics 26
4.2.1- Papers growth rate 26
4.2.2- Author statistics 27
4.2.3- Journal statistics 29
4.3- Edge betweenness 30
4.3.1- Group 1 31
4.3.2- Group 2 33
4.3.3- Group 3 37
4.3.4- Group 4 40
4.4- Key-route main path analysis 42
4.4.1- Analysis by using the thickness of the link as criteria 49
4.4.2- Analysis by using the number of times the articles have been cited as criteria 52
4.4.3- Development track 54
4.5 Future trends 61
4.5.1 First future trend 62
4.5.2 Second future trend 63
Chapter 5 Conclusion 65
5.1- Summary of research results 65
5.2- Academic contributions 66
5.3- Practical implications 67
5.4- Limitations and future research 68
Reference 69

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