Until now, most socially responsible and impact investments have centred on developed markets, with growth potential and investment opportunities in the frontier economies of countries such as Cambodia, Laos, Myanmar, and Vietnam being mostly overlooked. While some individuals and organizations have begun to develop responsible investment opportunities with these countries in mind, large new sources of capital for development could still emerge.This book explores the greater potential for global investment in Southeast Asia, and the ways in which socially responsible investment styles can be…mehr
Until now, most socially responsible and impact investments have centred on developed markets, with growth potential and investment opportunities in the frontier economies of countries such as Cambodia, Laos, Myanmar, and Vietnam being mostly overlooked. While some individuals and organizations have begun to develop responsible investment opportunities with these countries in mind, large new sources of capital for development could still emerge.This book explores the greater potential for global investment in Southeast Asia, and the ways in which socially responsible investment styles can be used in their developing economies. It demonstrates how the benefits of investment could create a robust platform for separate stakeholders, including governments, non-governmental organizations, development banks, the financial sector, and small and medium sized enterprises. The author explores how shaping collaborative sustainable investment policies could speed up inclusive development, address the needs of those at the bottom of the pyramid, and ensure sustainable future growth.
Manuel Stagars is an economist and senior researcher at Singapore-ETH Centre (SEC), interested in the technological and institutional aspects of data and data policy. He is also a serial entrepreneur with more than a decade of global experience. Manuel has a particular interest in emerging and frontier economies in Southeast Asia. He is also the author of Impact Investment Funds for Frontier Markets in Southeast Asia (Palgrave Macmillan, 2015).
Inhaltsangabe
Preface 1 Introduction 1.1 Who is this book for? 1.2 What is new in this analysis? 1.3 Factors of quality in national statistical systems 1.4 Motivation for this research 2 Tools to Standardize and Monitor Statistical Capacity and Data Quality 2.1 United Nations Fundamental Principles of Official Statistics 2.2 System of National Accounts 2.3 IMF Data Dissemination Standards 2.3.1 General Data Dissemination Standard 2.3.2 Special Data Dissemination Standard 2.3.3 Differences between the SDDS and the GDDS 2.3.4 European Statistics Code of Practice 2.4 ACSS Code of Practice 2.4.1 ACSS Data Quality Assessment 2.4.2 European Statistical System and ASEAN Community Statistical System: A brief comparison 2.5 World Bank Statistical Capacity Indicator 2.5.1 Methodology of the SCI 3 Method and Data Sources to Analyze Data Quality in the ASEAN 3.1 Method used in this study 3.1.1 Factors, dimensions, and indicators of data quality 3.1.2 Rating scale 3.1.3 Definition of "data users" 3.2 Data sources 4 Data Quality Analysis of Group A: Indonesia, Malaysia, Singapore, and the Philippines 4.1 Indonesia 4.2 Singapore 4.3 The Philippines 4.4 Malaysia 5 Data Quality Analysis of Group B: Thailand, Vietnam, Brunei 5.1 Thailand 5.2 Vietnam 5.3 Brunei 6 Data Quality Analysis of Group C: Laos, Cambodia, Myanmar 6.1 Laos 6.2 Cambodia 6.3 Myanmar 7 Conclusion and Outlook: Towards Open Data and ASEAN Economic Community 7.1 Overview of Results 7.2 Outlook: High-Quality Insights Need High-Quality Inputs Appendix: Results by dimensions and factors
Preface 1 Introduction 1.1 Who is this book for? 1.2 What is new in this analysis? 1.3 Factors of quality in national statistical systems 1.4 Motivation for this research 2 Tools to Standardize and Monitor Statistical Capacity and Data Quality 2.1 United Nations Fundamental Principles of Official Statistics 2.2 System of National Accounts 2.3 IMF Data Dissemination Standards 2.3.1 General Data Dissemination Standard 2.3.2 Special Data Dissemination Standard 2.3.3 Differences between the SDDS and the GDDS 2.3.4 European Statistics Code of Practice 2.4 ACSS Code of Practice 2.4.1 ACSS Data Quality Assessment 2.4.2 European Statistical System and ASEAN Community Statistical System: A brief comparison 2.5 World Bank Statistical Capacity Indicator 2.5.1 Methodology of the SCI 3 Method and Data Sources to Analyze Data Quality in the ASEAN 3.1 Method used in this study 3.1.1 Factors, dimensions, and indicators of data quality 3.1.2 Rating scale 3.1.3 Definition of "data users" 3.2 Data sources 4 Data Quality Analysis of Group A: Indonesia, Malaysia, Singapore, and the Philippines 4.1 Indonesia 4.2 Singapore 4.3 The Philippines 4.4 Malaysia 5 Data Quality Analysis of Group B: Thailand, Vietnam, Brunei 5.1 Thailand 5.2 Vietnam 5.3 Brunei 6 Data Quality Analysis of Group C: Laos, Cambodia, Myanmar 6.1 Laos 6.2 Cambodia 6.3 Myanmar 7 Conclusion and Outlook: Towards Open Data and ASEAN Economic Community 7.1 Overview of Results 7.2 Outlook: High-Quality Insights Need High-Quality Inputs Appendix: Results by dimensions and factors
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