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Companies face challenges and need support when applying specific knowledge to their innovation processes, such as design for sustainability. The providers of innovation support in innovation systems are intermediaries. While the literature on intermediaries focuses on various roles and approaches, the way in which intermediaries function in specific fields such as design for sustainability remains underexplored. This paper investigates how intermediaries provide innovation support in the design for sustainability field today, with a focus on the services and support they offer, the approaches and drivers that shape them, as well as the challenges of the intermediation process, particularly concerning sustainability and design. To do this, 14 intermediaries from the Netherlands, the United Kingdom and Turkey were investigated through case studies. The role of design in support processes, especially during implementation, the importance and types of collaborations among various actors of innovation systems, and the emergence of a new type of intermediary that promises radical innovation in sustainability are among the findings. In addition, based on the empirical data, we suggest a framework for describing the roles and attributes of a group of five intermediaries that meets the needs of all types of companies engaged in design for sustainability. Finally we offer suggestions for Turkey on how to raise the capacity of its intermediaries operating in the design for sustainability field, which might be applicable to other similar contexts as well. This study contributes to the theory and practice of innovation support in the sustainability field, from which all innovation system's actors, especially intermediaries and governmental institutions, might benefit in designing support programs. [ABSTRACT FROM AUTHOR]

The food processing sector has a considerable environmental impact, due to large volumes of food and packaging waste. Eco-innovations present an important opportunity to reduce this impact. Yet, initial insights suggest that new technologies face considerable challenges to their adoption. The eco-innovation adoption literature has overlooked the food processing sector. The purpose of this paper is to examine the barriers inhibiting the adoption of waste reducing eco-innovations in the food processing sector. We present four detailed case studies of new technologies at different stages of adoption in the UK and Netherlands. The findings reveal ten barriers to the adoption of waste reducing technologies in the food processing sector. The barriers identified include concerns over the influence of technologies on the product's characteristics, its retailing, and a perceived lack of consumer demand. These barriers arise from the powerful influence of retailers within the food supply chain, the influence of technologies on in-store point of sale displays, and the need for distribution trials. We conclude that the adoption of new technologies requires simultaneous acceptance by both food processor and retailers. The paper provides recommendations for policy makers and innovation managers to increase the adoption and diffusion of waste reducing technologies in the food processing sector, as well as implications for future research. • Interconnected barriers are identified across key members of the food supply chain. • Specific characteristics of waste reducing eco-technologies impede their adoption. • Retailers role in the adoption of waste reducing technologies is uncovered. • Policy action is required to promote adoption at each level of the supply chain. [ABSTRACT FROM AUTHOR]

Abstract: This paper reviews the traditional approach to sediment budget studies in geomorphology, new approaches and more specifically the potential impact of new methodological advances. Each component of the budget is discussed including the spatial and volumetric estimations of erosion, deposition and storage and the precision and accuracy of flux rate estimation. Examples are used from recent work in Germany, The Netherlands and the UK and include the pedogenic approach to erosion estimation, remote sensing (LiDAR), geophysics and sediment-based dating techniques for flux rate estimation. The precision and accuracy of catchment sediment flux estimates based upon sediment storage is not only dependant upon volumetric accuracy but also on the precision and accuracy of sediment dating. In this area there has been a revolution with direct sediment dating techniques (TL, OSL, ESR) freeing budget studies from the constraints and biases of radiocarbon. Of particular importance is the use of cosmogenic nuclides for dating but which can also be used to derive long-term erosion rates but only using a steady state assumption. Finally a tentative initial application of the sediment budget approach to Pleistocene terrace staircase in unglaciated basins is discussed. It is argued that only now do we have the techniques available to be able to produce accurate sediment budget estimations at spatial scales greater than that of zero order basins and over time periods greater than that covered by direct observations. [Copyright &y& Elsevier]

CORINAIR atmospheric emission inventories are frequently used input data for air quality models with a domain situated in Europe. In CORINAIR emission inventories, sources are broken down over 11 major source categories. This paper presents spatial surrogates for the disaggregation of CORINAIR atmospheric emission inventories for input of air pollutants and particulate matter to grid or polygon based air quality model domains inside Europe. The basis for the disaggregation model was the CLC2000 land cover data to which statistical weights were added. Weights were population census data for residential emissions, employment statistics for agricultural and industrial area emissions, livestock statistics for ammonia emissions and annual aircraft movements for emissions realized by air transport. Additional road and off-road network information was used to disaggregate emissions realized by traffic. A comparison of top down produced emission estimates with spatially resolved national emission data for The Netherlands and the United Kingdom gave confidence in the present spatial surrogates as a tool for the top down production of atmospheric emission maps. Explained variance at a spatial resolution of 5km was >70% for CO, NMVOC and NO x , >60% for PM10 and almost 50% for SO2. [Copyright &y& Elsevier]