臺灣博碩士論文加值系統

Public private partnership (PPP) is an effective and well-established strategy for procuring infrastructure. Although many countries have implemented PPP for infrastructure development in recent years, not all have been successful. Most PPP implementation failures result from inappropriate risk allocation and lack of information about success factors within their countries. This research compared key drivers, critical success factors (CSFs), and preferred risk allocation in PPPs performed in Indonesia, Taiwan, Singapore, China and UK. Mean value analysis, confirmatory factor analysis, and dimensional grid were used to analyze and compare those categories. Data for PPPs in Taiwan, Singapore, China and UK were obtained by comprehensive literature reviews. Meanwhile, Indonesia data were obtained by structural survey of PPP practitioners and academicians. Considering Indonesia as a baseline, the results reveal that Indonesia and Taiwan have several similar key drivers’ indicators. Furthermore, comparisons with several countries showed that Indonesia CSFs are most similar to China CSFs. Regarding risk allocation preference, the analytical results indicate that Singapore has the most similarity with Indonesia. The contribution of this study is to provide useful information for potential investors in PPP projects so that they can improve their understanding of key drivers, CSFs and risk allocation in the researched counties. International investors can then apply investment strategies based on the similarities and differences in each country.

Public private partnership (PPP) is an effective and well-established strategy for procuring infrastructure. Although many countries have implemented PPP for infrastructure development in recent years, not all have been successful. Most PPP implementation failures result from inappropriate risk allocation and lack of information about success factors within their countries. This research compared key drivers, critical success factors (CSFs), and preferred risk allocation in PPPs performed in Indonesia, Taiwan, Singapore, China and UK. Mean value analysis, confirmatory factor analysis, and dimensional grid were used to analyze and compare those categories. Data for PPPs in Taiwan, Singapore, China and UK were obtained by comprehensive literature reviews. Meanwhile, Indonesia data were obtained by structural survey of PPP practitioners and academicians. Considering Indonesia as a baseline, the results reveal that Indonesia and Taiwan have several similar key drivers’ indicators. Furthermore, comparisons with several countries showed that Indonesia CSFs are most similar to China CSFs. Regarding risk allocation preference, the analytical results indicate that Singapore has the most similarity with Indonesia. The contribution of this study is to provide useful information for potential investors in PPP projects so that they can improve their understanding of key drivers, CSFs and risk allocation in the researched counties. International investors can then apply investment strategies based on the similarities and differences in each country.

ABSTRACT ii
ACKNOWLEDGEMENTS iii
TABLE OF CONTENTS v
LIST OF TABLES viii
Chapter 1 INTRODUCTION 1
1.1. Research background 1
1.2. Research objective 3
1.3. Research process 4
Chapter 2 LITERATURE REVIEW 6
2.1. Public private partnership (PPP) development 6
2.2. Public private partnership (PPP) success and failure story 7
2.3. PPP status in UK, Indonesia, Taiwan, Singapore and China 8
2.4. Data bank of key drivers, CSFs and risk factors 11
Chapter 3 METHODOLOGY 16
3.1. Survey process 16
3.2. Confirmatory factor analysis and mean value analysis 18
3.3. Model fit 20
3.4. Reliability and validity methods 22
3.4.1 Reliability 22
3.4.2 Validity 23
3.4.3 Two dimension importance analysis 23
Chapter 4 DATA ANALYSIS AND RESULTS 25
4.1. Description of survey data 25
4.2. Drivers, success factors and risk allocation in Indonesia 28
4.2.1 Drivers of PPP and CSFs 28
4.2.2 Preferred risk allocation 30
4.3. Cross-country comparisons 33
Indonesia versus Taiwan 34
Indonesia versus Singapore 40
Indonesia versus China 42
Indonesia versus UK 44
Chapter 5 CONCLUSIONS AND RECOMMENDATIONS 46
5.1. Conclusions 46
5.2. Future works and recommendation 48
REFERENCES 49
APPENDIX A QUESTIONNAIRE (ENGLISH VERSION) 55
APPENDIX B QUESTIONNAIRE (INDONESIAN VERSION) 61
APPENDIX C SPSS AMOS CONFIRMATORY FACTOR ANALYSIS 67
SPSS AMOS CONFIRMATORY FACTOR ANALYSIS (INITIAL MODEL) 67
APPENDIX D IBM SPSS STATISTIC SURVEY DATA INTERFACE VARIABLE DATA DESCRIPTION 69
APPENDIX E RISK ALLOCATION IN INDONESIA 74
APPENDIX F KEY DRIVERS AND CSFs COMPARISON 76
APPENDIX G RISKS ALLOCATION COMPARISONS 81
APPENDIX I THESIS TUTORIAL 90

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