This article investigates the phenomenon of rebound effects in relation to a transition to a Circular Economy (CE) through qualitative inquiry. The aim is to gain insights in manifestations of rebound effects by studying the Dutch textile industry as it transitions to a circular system, and to develop appropriate mitigation strategies that can be applied to ensure an effective transition. The rebound effect, known originally from the energy efficiency literature, occurs when improvements in efficiency or other technological innovations fail to deliver on their environmental promise due to (behavioral) economic mechanisms. The presence of rebound in CE contexts can therefore lead to the structural overstatement of environmental benefits of certain innovations, which can influence reaching emission targets and the preference order of recycling. In this research, the CE rebound effect is investigated in the Dutch textile industry, which is identified as being vulnerable to rebound, yet with a positive potential to avoid it. The main findings include the very low awareness of this effect amongst key stakeholders, and the identification of specific and general instances of rebound effects in the investigated industry. In addition, the relation of these effects to Circular Business Models and CE strategies are investigated, and placed in a larger context in order to gain a more comprehensive understanding about the place and role of this effect in the transition. This concerns the necessity for a new approach to how design has been practiced traditionally, and the need to place transitional developments in a systems perspective. Propositions that serve as theory-building blocks are put forward and include suggestions for further research and recommendations about dealing with rebound effects and shaping an eco-effective transition. Thomas Siderius, Kim Poldner, Reconsidering the Circular Economy Rebound effect: Propositions from a case study of the Dutch Circular Textile Valley, Journal of Cleaner Production, Volume 293, 2021, 125996, ISSN 0959-6526, https://doi.org/10.1016/j.jclepro.2021.125996.
Marine spatial planning (MSP) was developed as a place-based, integrated marine governance approach to address sectoral and fragmented management issues and has seen significant evolvement over the past two decades. MSP has rapidly become the most commonly endorsed management regime for sustainable development in the marine environment, with initiatives being implemented across multiple regions of the globe. Despite its broad and growing acceptance and use, there are several key challenges that remain, both conceptual and practical, that are negatively impacting the realization of MSP’s potential. These include institutional shortcomings, the exclusion of stakeholders, a failure to account for the human and social dimensions of marine regions, the marginalization of different types of knowledge, and the growing need to adapt to global environmental change. Although studies have examined the emergence of MSP in different geographical and institutional contexts, there is a lack of comparative analysis of how initiatives are progressing and if the foundational aims of MSP are being achieved. There is a need to analyze the degree to which MSP initiatives are responding to the environmental challenges that they have been set up to tackle and, as marine plans are setting out long-term visions for marine management, to understand if current initiatives are fit for purpose. This article responds to these concerns and reviews the evolution of MSP within 12 regional ocean areas. We utilize the term regional ocean areas to illustrate the geographical spread of MSP, with examinations conducted of the approach to MSP that specific nations within each of the 12 chosen clusters have followed. By critically assessing how MSP is progressing, it is possible to shed light on the opportunities and challenges that are facing current initiatives. This can help to reveal learning lessons that can inform future MSP systems and guide initiatives along more sustainable pathways.
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Digitalization is the core component of future development in the 4.0 industrial era. It represents a powerful mechanism for enhancing the sustainable competitiveness of economies worldwide. Diverse triggering effects shape future digitalization trends. Thus, the main research goal in this study is to use sustainable competitiveness pillars (such as social, economic, environmental and energy) to evaluate international digitalization development. The proposed empirical model generates comprehensive knowledge of the sustainable competitiveness-digitalization nexus. For that purpose, a nonlinear regression has been applied on gathered annual data that consist of 33 European countries, ranging from 2010 to 2016. The dataset has been deployed using Bernoulli’s binominal distribution to derive training and testing samples and the entire analysis has been adjusted in that context. The empirical findings of artificial neural networks (ANN) suggest strong effects of the economic and energy use indicators on the digitalization progress. Nonlinear regression and ANN model summary report valuable results with a high degree of coefficient of determination (R2>0.9 for all models). Research findings state that the digitalization process is multidimensional and cannot be evaluated as an isolated phenomenon without incorporating other relevant factors that emerge in the environment. Indicators report the consumption of electrical energy in industry and households and GDP per capita to achieve the strongest effect.
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