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The challenge of sustainability : linking politics, education and learning
This timely and accessible book explores the links between politics, learning and sustainability. Its central focus is the future of people and the planet itself. The challenges that we face in combatting climate change and building a more sustainable world are complex and the book argues that if we are to successfully meet these challenges we need a fundamental change in the way we do politics and economics, embedding a lifelong commitment to sustainability in all learning. The book will be important reading for academics and students in a variety of related subjects, including politics, public policy,education, sustainable development, and development studies.
Book
Review of life-cycle based methods for absolute environmental sustainability assessment and their applications
In many regions and at the planetary scale, human pressures on the environment exceed levels that natural systems can sustain. These pressures are caused by networks of human activities, which often extend across countries and continents due to global trade. This has led to an increasing requirement for methods that enable absolute environmental sustainability assessment (AESA) of anthropogenic systems and which have a basis in life cycle assessment (LCA). Such methods enable the comparison of environmental impacts of products, companies, nations, etc, with an assigned share of environmental carrying capacity for various impact categories. This study is the first systematic review of LCA-based AESA methods and their applications. After developing a framework for LCA-based AESA methods, we identified 45 relevant studies through an initial survey, database searches and citation analysis. We characterized these studies according to their intended application, impact categories, basis of carrying capacity estimates, spatial differentiation of environmental model and principles for assigning carrying capacity. We then characterized all method applications and synthesized their results. Based on this assessment, we present recommendations to practitioners on the selection and use of existing LCA-based AESA methods, as well as ways to perform assessments and communicate results to decision-makers. Furthermore, we identify future research priorities intended to extend coverage of all components of the proposed method framework, improve modeling and increase the applicability of methods.
Journal Article
A study of energy investment and environmental sustainability nexus in China: a bootstrap replications analysis
Environmental sustainability is increasing emphasis on global environmental concerns at the forefront of public policy debate. This paper investigates the relationship between energy investments and environmental sustainability in China from 1980 to 2018 while considering the moderating effect of international trade and economic growth under the environment Kuznets curve (EKC) framework. We apply advanced econometric modeling for empirical analysis. Our findings show that energy investment and economic growth are positive, while international trade is negatively associated with ecological footprints. Moreover, economic growth and energy investment deteriorate, while international trade improves environmental sustainability. This empirical evidence suggests the improvements in cleaner energy infrastructure with the participation of the private sector to promote clean energy investment. We argue that policymakers should ensure environmental provisions in the regional and bilateral trade agreements to harmonize the environmental regulations, and develop crucial trade and ecological policy indicators to monitor policy consistency.
Journal Article
Sensemaking and Sustainable Practicing: Functional Affordances of Information Systems in Green Transformations
This paper explores how a world-wide operating software solutions provider implemented environmentally sustainable business practices in response to emerging environmental concerns. Through an interpretive case study, we develop a theoretical framework that identifies four important functional affordances originating in information systems, which are required in environmental sustainability transformations as they create an actionable context in which (1) organizations can engage in a sensemaking process related to understanding emerging environmental requirements, and (2) individuals can implement environmentally sustainable work practices. Through our work, we provide several contributions, including a better understanding of IS-enabled organizational change and the types of functional affordances of information systems that are required in sustainability transformations. We describe implications relating to (1) how information systems can contribute to the creation of environmentally sustainable organizations, (2) the design of information systems to create required functional affordances, (3) the management of sustainability transformations, and (4) the further development of the concept of functional affordances in IS research.
Journal Article
The Impact of Socio-economic and Environmental Sustainability on CO2 Emissions
The extent to which socio-economic factors other than income and household size are associated with household CO2 emissions and whether associations vary across emission domains remains contested in the literature. We explore the impact of socio-economic and environmental sustainability indicators on CO2 emissions in the presence of combustible renewables, and the economic growth of thirty International Energy Agency (IEA) member countries. We develop a comprehensive empirical analysis using panel data and apply advanced econometric techniques for the period from 1995 to 2018. The panel cointegration analysis indicates long-run relationships among the variables. In addition, augmented mean group analysis and common correlated effects mean group analyses explain that environmental sustainability reduces CO2 emissions in the short run. Findings of fully modified least square estimates and long-run dynamic least squares estimates confirm that socio-economic sustainability increases CO2 emissions and environmental sustainability decreases them. The results of Dumitrescu and Hurlin Granger causality analysis reveal that combustible renewables, environmental sustainability, and economic growth bidirectionally Granger cause CO2 emissions, but socio-economic sustainability unidirectional Granger causes environmental quality. Policymakers in the IEA economies are encouraged to establish policies that promote a sustained lifestyle, ecological awareness, clean technological innovations, limit CO2 emissions, ecological trade-offs, and CO2 emissions ceilings to avoid rebound effects and limit environmental degradation. The study's limitations are discussed, and useful directions for future research in the area are proposed.
Journal Article
Supplier selection to support environmental sustainability: the stratified BWM TOPSIS method
Organisations need to develop long-term strategies to ensure they incorporate innovation for environmental sustainability (IES) to remain competitive in the market. This can be challenging given the high level of uncertainty regarding the future (e.g., following the COVID pandemic). Supplier selection is an important decision that organisations make and can be designed to support IES. While the literature provides various criteria in the field of IES strategies, it does not identify the criteria which can be utilised to assist organisations in their supplier selection decisions. Moreover, the literature in this field does not consider uncertainty related to the occurrence of possible future events which may influence the importance of these criteria. To address this gap, this paper develops a novel criteria decision framework to assist supplier evaluation in organisations, taking into consideration different events that may occur in the future. The framework that combines three decision-making methods: the stratified multi-criteria decision-making method, best worst method, and technique for order of preference by similarity to ideal solution. The framework, proposed in this paper, can also be adopted to enable effective and sustainable decision making under uncertainty in various fields.
Journal Article