Accounting and Statistical Analyses for Sustainable Development : Multiple Perspectives and Information-Theoretic Complexity Reduction.

Format:

Book

Thesis/Dissertation

Author/Creator:

Lemke, Claudia.

Series:

Sustainable Management, Wertschöpfung und Effizienz

Language:

English

Genre:

Academic theses

Physical Description:

1 online resource (288 pages)

Place of Publication:

Springer Nature 2021

Wiesbaden : Springer Fachmedien Wiesbaden GmbH, 2021.

Language Note:

English

Summary:

In this Open Access publication Claudia Lemke develops a comprehensive Multi-Level Sustainable Development Index (MLSDI) that is applicable to micro, meso, and macro objects by conducting methodological and empirical research. Multi-level comparability is crucial because the Sustainable Development Goals (SDGs) at macro level can only be achieved if micro and meso objects contribute. The author shows that a novel information-theoretic algorithm outperforms established multivariate statistical weighting methods such as the principal component analysis (PCA). Overcoming further methodological shortcomings of previous sustainable development indices, the MLSDI avoids misled managerial and political decision making.

Contents:

Intro

Preface

Foreword

Acknowledgement

Table of contents

List of abbreviations

List of figures

List of tables

List of equations

List of symbols

Chapter 1 Introduction

1.1 Background and motivation

1.2 Research question and aim of the dissertation

1.3 Procedure

Chapter 2 Conceptual framework of sustainable development

2.1 Definition of sustainable development and sustainability

2.2 The three contentual domains of sustainable development

2.2.1 Environmental protection

2.2.2 Social development

2.2.3 Economic prosperity

2.2.4 Integration of the three contentual domains

2.3 Stakeholders and change agents of sustainable development

2.3.1 The multilevel perspective

2.3.2 Corporate sustainability

2.3.3 Political goal setting: The United Nations's (UN) Sustainable Development Goals (SDGs)

2.3.4 Sustainability science

2.4 Summary

Chapter 3 Measuring and assessing contributions to sustainable development

3.1 Principles of sustainable development measurement and assessment methods

3.2 Overview of quantitative sustainable development assessment methods

3.3 Sustainable development indicators

3.3.1 Corporate indicator frameworks

3.3.2 Meso-level indices

3.3.3 Macro-level indices

3.4 Summary

Chapter 4 Methodology

4.1 Overview of sustainable development indices' calculation steps and methodological requirements

4.2 Methodological evaluation of sustainable development indices

4.3 Methodology of the Multilevel Sustainable Development Index (MLSDI)

4.3.1 Collection of sustainable development key figures

4.3.2 Preparation of sustainable development key figures

4.3.2.1 Meso-level transformation to macro-economic categories

4.3.2.2 Macro-level transformation of statistical classifications

4.3.3 Imputation of missing values.

4.3.3.1 Characterisation of missing values

4.3.3.2 Single time series imputation: Various methods depending on the missing data pattern

4.3.3.3 Multiple panel data imputation: Amelia II algorithm

4.3.3.4 Statistical tests of model assumptions

4.3.4 Standardisation to sustainable development key indicators

4.3.5 Outlier detection and treatment

4.3.5.1 Characterisation of outliers

4.3.5.2 Univariate Interquartile Range (IQR) method

4.3.6 Scaling

4.3.6.1 Characterisation of scales

4.3.6.2 Rescaling between ten and 100

4.3.7 Weighting

4.3.7.1 Overview of weighting methods

4.3.7.2 Multivariate statistical analysis: Principal Component Analysis (PCA)

4.3.7.3 Multivariate statistical analysis: Partial Triadic Analysis (PTA)

4.3.7.4 Information theory: Maximum Relevance Minimum Redundancy Backward (MRMRB) algorithm

4.3.7.5 Statistical tests of model assumptions

4.3.8 Aggregation

4.3.9 Sensitivity analyses

4.4 Summary and interim conclusion

Chapter 5 Empirical findings

5.1 Data base, objects of investigation, and time periods

5.2 Sustainable development key figures

5.2.1 Collection and preparation of sustainable development key figures

5.2.2 Imputation of missing values

5.3 Sustainable development key indicators

5.3.1 Alignment of the Global Reporting Initiative (GRI) and the Sustainable Development Goal (SDG) disclosures

5.3.1.1 Environmental sustainable development key indicators

5.3.1.2 Social sustainable development key indicators

5.3.1.3 Economic sustainable development key indicators

5.3.2 Summary statistics of the sustainable development growth indicators

5.3.3 Outlier detection and treatment

5.3.4 Empirical findings of the cleaned and rescaled sustainable development key indicators

5.3.4.1 Summary statistics.

5.3.4.2 Comparative analysis of the selected branches

5.4 Weighting

5.4.1 The Principal Component (PC) family's eigenvalues and explained cumulative variances

5.4.2 The Maximum Relevance Minimum Redundancy Backward (MRMRB) algorithm's discretisation and backward elimination

5.4.3 Comparative analysis of weights

5.4.4 Statistical tests of the Principal Component (PC) family

5.5 Empirical findings of the four composite sustainable development measures

5.5.1 Summary statistics

5.5.2 Comparative analysis of the selected branches

5.6 Sensitivity analyses

5.7 Summary

Chapter 6 Discussion and conclusion

6.1 Implications for research

6.2 Implications for practice

6.3 Limitations and future outlook

6.4 Summary and conclusion

Appendix

A.1 Statistical classification scheme of economic activities in the European Union (EU)

A.2 German health economy's statistical delimitation

A.3 Statistical tests of sustainable development key figures

A.4 Summary statistics of the sustainable development key indicators

A.5 Outlier thresholds of the sustainable development key indicators

A.6 Normality tests of z-score scaled sustainable development key indicators

A.7 Sensitivities by the four composite sustainable development measures

References.

Notes:

Doctoral Technische Universität Berlin 2020

Description based on publisher supplied metadata and other sources.

ISBN:

3-658-33246-8

OCLC:

1249471423

Access Restriction:

Open access Unrestricted online access