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In this paper three approaches on transitions pathways are combined to study the role of agricultural nature conservation in the Dutch land use domain for achieving internationally agreed climate and biodiversity targets. The three perspectives used are the Multilevel Perspective (MLP), Initiative Based Learning (IBL) and Integrated Assessment Modelling (IAM). The analysis provides insights in how the combination of different research approaches can lead to more comprehensive policy advice on how agricultural nature conservation could help to achieve internationally agreed sustainability goals related to climate change and biodiversity. IAM shows under which conditions agricultural nature conservation could be consistent with European and global long-term goals regarding food security, biodiversity and climate. MLP provides insight into the extent in which agricultural nature conservation has affected or changed the existing nature and agricultural regimes. IBL, finally, reveals the challenges of encouraging agricultural nature conservation with policy measures. Our analysis shows that a combined perspective provides a deeper understanding of the underlying processes, reasons and motives of agricultural nature conservation, leading to more comprehensive policy recommendations.
Germany's waste management system is one of the world's most advanced - its primary objective is to dispose of waste in a way that is safe for both people and the environ- ment. However, only about 14 per cent of the raw materials used in industry are derived from recycling processes; the remainder are still sourced from primary materials. The circular economy is not yet being implemented on a large enough scale. Recyclates or recycled materials, i.e. secondary raw materials recovered from waste, are being fed back into production and usage processes at volumes that are far below what is possible. If this system were to be improved, loss of value, dependence on volatile commodity markets, lower resource productivity, and externalities in the form of environmental pollution could be avoided. A drive towards digitalisation in industry and the waste management sector could make this happen. A study by the German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (BMUB) indicates that no other lead market in the environmental sector stands to benefit from digitalisation more than the circular economy - and that, at the same time, no sector has ever been so poorly positioned.
The transition from today's "take, make, waste" economic paradigm to a circular economy requires a joint effort from actors on all levels: governments, business, and civil society. While companies are among the drivers of the circular transformation, they find it hard to achieve a circular economy on their own. Hence, cross-industry collaboration is one of the imperatives for scaling a circular economy. Against this background, econsense, together with Accenture and the Wuppertal Institute, launched its study "Germany's Transition to a Circular Economy - How to Unlock the Potential of Cross-Industry Collaboration".
Based on a survey and expert interviews within the econsense community, the study finds that companies are yet to unlock the full potential of cross-industry collaboration. While two thirds of analysed industry collaborations have a high potential for scaling the circular economy, only 43 per cent of those already show a high degree of interaction. The study provides concrete guidance for companies to get started with circularity and identify the right partners for cross-industry collaboration. Specifically, the report recommends companies: 1) Understand what circularity is about and map it on their own operations and processes. 2) Understand the different circular business models and identify the ones relevant to each business. 3) Discover areas where collaboration can help to create the needed foundation and to execute circular actions.
In the coming years, we must set a course that will allow as to protect our climate, reduce resource consumption, and preserve biodiversity. A profound ecological system change is on the horizon in all central areas of action of the economy and society, or transformation arenas.
Digitalisation is a prerequisite for the success in this change and will impact these arenas at multiple levels: Digital technologies and applications will make it possible to improve current procedures, processes, and structures (Improve) and help us take the first steps towards new business models and frameworks (Convert). Despite this, digitalisation itself must be effective enough to facilitate a complete ecological restructuring of our society and lives to achieve more far-reaching economic transformation and value creation (Transform).
The ability to obtain, link, and use data is a basic prerequisite for tapping into the potential of digitisation for sustainability transformation. However, data is not a homogeneous raw material. Data only gains value when we know the context in which it was collected and when we can use it for a specific purpose.
The discussion on what structures and prerequisites are necessary for the system-changing use of data has only just begun. This study was conducted to serve as a starting point for this discussion as it describes the opportunities and prerequisites for a data-based sustainability transformation. This study focuses on environmental data, data from plants, machines, infrastructure, and IoT products. Our task will be to increase the use this data for systemic solutions (system innovation) within transformation arenas where different stakeholders are working together to initiate infrastructure, value chain, and business model transformation.
The first step of complete transformation will be utilizing digital technologies and applications to improve current procedures, processes, and structures (Improve). Next, complete digitalisation will pave the way for new business models and framework conditions (Convert). Finally, comprehensive transformation of the economy and value creation will ensure the effective reorientation of society and lifestyles towards sustainability (Transform). This last step is critical for a successful ecological transformation, or a "green transformation", must be placed front and centre during international debate.
Through this report, we aim to highlight and discuss the opportunities that digitalisation can bring to Germany. In particular, we will discuss three exemplary areas of ecological transformation where action is necessary: 1) A digital and circular economy that uses data to increase resource efficiency. 2) Intelligent, sustainable mobility that connects us in eco-friendly ways. 3) Transparent transitions towards sustainable food chains and agriculture.
This report represents the first phase of the Shaping Digital Transformation project. In this report, we will outline the framework of our project to create a starting point for further debates.
Within the Shaping Digitalisation project, we aim to highlight and discuss the opportunities that digitalisation can bring to Germany. In particular, we are discussing three stand-out areas where action is most needed to achieve ecological transformation: mobility, the circular economy, and agriculture and food.
This report addresses the second area in need of action. Up until now, discussions on the circular economy have been limited to recycling and the re-use of materials. We must expand the scope of these discussions to include new, resource-efficient business models and the comprehensive transformation of value chains and industrial structures. Our analysis has found that digitalisation is indispensable for this transformation if used properly.
We hope this report will provide the impetus needed to kick-start a climate- and resource-friendly industrial transformation in Germany. Here, we have incorporated the findings of our interdisciplinary workshop on "Shaping the Digital-Ecological Industrial Transformation - Business Models and Political Framework Conditions for Climate and Resource Protection" that was attended by experts from international research institutes, civil organizations, public authorities, and private companies.
Digitalisation is in full swing and it is changing and influencing the world of the 21st century as no other dynamics of change has done before. Dealing with its impacts and at the same time shaping digitalisation itself is therefore a core task for achieving a globally sustainable transformation (German Advisory Council on Global Change - WGBU, 2019). But which direction should digitalisation take to ensure that it makes e ective contributions to globally sustainable development? And what is the specific approach needed to steer digitalisation in the right direction?
Nowadays, high expectations are set for a digitally enabled circular economy (CE), to enhance resource efficiency. Tracing, tracking, and storing information is most important for this. In this paper, the application of Internet of Things (IoT) and Distributed Ledger Technology (Blockchain) are hence discussed by presenting the case of professional Electrical and Electronic Equipment (EEE) in Italy. Within the context of CE, prevention of electronic waste (WEEE) is extremely relevant as it is a fast-growing waste stream, and the products contain environmentally damaging substances as well as valuable and rare materials. The use of a proper combination of IoT and blockchain can help the producers to keep control on products until EEE end-of-life, while promoting CE strategies and supporting decision-making. Based on the outcomes of five interviews conducted in 2019 to companies of the EEE sector, potential improvements in the EEE end-of-use management are discussed. After providing the definition of requirements for both the technical solution and its testing are provided, three solution variations and the related business models are created and presented, as well as considerations on their environmental and economic impacts. The study shows how digital technologies can support the appropriate and circular management of EEE products and WEEE.