After the unconditional surrender of the Third Reich in May 1945, Germany no longer existed as a sovereign, independent nation. It was occupied by the four Allied powers: France, Great Britain, the United States and the Soviet Union. When it came to the postwar European recovery, the biggest obstacle was that the economy in Germany, the dominant continental economic power before the Second World War, was at an almost complete standstill. This not only had severe consequences for Germany itself, but also had strong economic repercussions for surrounding countries, especially the Netherlands. As Germany had been the former’s most important trading partner since the middle of the nineteenth century, it was clear that the Netherlands would be unable to recover economically without a healthy Germany. However, Allied policy, especially that of the British and the Americans, made this impossible for years. This article therefore focuses on the early postwar Dutch-German trade relations and the consequences of Allied policy. While much has been written about the occupation of Germany, far less attention has been paid to the results of this policy on neighbouring countries. Moreover, the main claim of this article is that it was not Marshall Aid which was responsible for the quick and remarkable Dutch economic growth as of 1949, but the opening of the German market for Dutch exports that same year. https://doi.org/10.1515/jbwg-2018-0009 LinkedIn: https://www.linkedin.com/in/martijn-lak-71793013/
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Cooperation is more likely upheld when individuals can choose their interaction partner. However, when individuals differ in their endowment or ability to cooperate, free partner choice can lead to segregation and increase inequality. To understand how decision-makers can decrease such inequality, we conducted an incentivized and preregistered experiment in which participants (n=500) differed in their endowment and cooperation productivity. First, we investigated how these individual differences impacted cooperation and inequality under free partner choice in a public goods game. Next, we calculated if and how decision-makers should restrict partner choice if their goal is to decrease inequality. Finally, we studied whether decision-makers actually did decrease inequality when asked to allocate endowment and productivity factors between individuals, and combine individuals into pairs of interaction partners for a two-player public goods game. Our results show that without interventions, free partner choice, indeed, leads to segregation and increases inequality. To mitigate such inequality, decision-makers should curb free partner choice and force individuals who were assigned different endowments and productivities to form pairs with each other. However, this comes at the cost of lower overall cooperation and earnings, showing that the restriction of partner choice results in an equality-efficiency trade-off. Participants who acted as third-parties were actually more likely to prioritize inequality reduction over efficiency maximization, by forcing individuals with unequal endowment and productivity levels to form pairs with each other. However, decision-makers who had a ‘stake in the game’ self-servingly navigated the equality-efficiency trade-off by preferring partner choice interventions that benefited themselves. These preferences were partly explained by norms on public good cooperation and redistribution, and participants’ social preferences. Results reveal potential conflicts on how to govern free partner choice stemming from diverging preferences ‘among unequals’.
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Alle auto's, windmolens en o.a. houten kozijnen hebben één ding gemeen. Ze moeten gecoat worden om het materiaal te beschermen. Alleen al in Nederland wordt ruim 1 miljard euro omzet gerealiseerd met coatings. Er is dringend behoefte aan verduurzaming en innovatie. Aan het einde van de levensduur wordt de coating meestal verbrand, dit leidt tot meer CO2 omdat coatings veelal van fossiele grondstoffen zijn gemaakt. Het maken van een biobased coating is daarom essentieel. Echter, één belangrijk ingrediënt mist, de aromaat. Het zijn de aromaten die de coating glanzend, krasvast en uv-bestendig maken. De coatingindustrie heeft geprobeerd het fossiele ingrediënt ftaalzuuranhydride (PA) in de hars te vervangen, maar er is tot op heden geen goede oplossing gevonden. Relement ontwikkelde als eerste bedrijf wereldwijd een bio-aromaat, te weten biobased 3-methylftaalzuuranhydride (bio-MPA). Een showmodel van een coating gebaseerd op bio-MPA ontbreekt en dat is precies wat samen met Fontys Hogeschool onderzocht gaat worden in dit KIEM Go-Chem project. Het doel van het project Alchemist is om een biobased alkyd coating showmodel te realiseren gebaseerd op bio-MPA i.p.v. fossiel PA. De eigenschappen van de coating worden getest en vergeleken met een alkyd coating gebaseerd op fossiel PA. Er worden betere eigenschappen verwacht door het vervangen van PA door MPA.
Collaborative networks for sustainability are emerging rapidly to address urgent societal challenges. By bringing together organizations with different knowledge bases, resources and capabilities, collaborative networks enhance information exchange, knowledge sharing and learning opportunities to address these complex problems that cannot be solved by organizations individually. Nowhere is this more apparent than in the apparel sector, where examples of collaborative networks for sustainability are plenty, for example Sustainable Apparel Coalition, Zero Discharge Hazardous Chemicals, and the Fair Wear Foundation. Companies like C&A and H&M but also smaller players join these networks to take their social responsibility. Collaborative networks are unlike traditional forms of organizations; they are loosely structured collectives of different, often competing organizations, with dynamic membership and usually lack legal status. However, they do not emerge or organize on their own; they need network orchestrators who manage the network in terms of activities and participants. But network orchestrators face many challenges. They have to balance the interests of diverse companies and deal with tensions that often arise between them, like sharing their innovative knowledge. Orchestrators also have to “sell” the value of the network to potential new participants, who make decisions about which networks to join based on the benefits they expect to get from participating. Network orchestrators often do not know the best way to maintain engagement, commitment and enthusiasm or how to ensure knowledge and resource sharing, especially when competitors are involved. Furthermore, collaborative networks receive funding from grants or subsidies, creating financial uncertainty about its continuity. Raising financing from the private sector is difficult and network orchestrators compete more and more for resources. When networks dissolve or dysfunction (due to a lack of value creation and capture for participants, a lack of financing or a non-functioning business model), the collective value that has been created and accrued over time may be lost. This is problematic given that industrial transformations towards sustainability take many years and durable organizational forms are required to ensure ongoing support for this change. Network orchestration is a new profession. There are no guidelines, handbooks or good practices for how to perform this role, nor is there professional education or a professional association that represents network orchestrators. This is urgently needed as network orchestrators struggle with their role in governing networks so that they create and capture value for participants and ultimately ensure better network performance and survival. This project aims to foster the professionalization of the network orchestrator role by: (a) generating knowledge, developing and testing collaborative network governance models, facilitation tools and collaborative business modeling tools to enable network orchestrators to improve the performance of collaborative networks in terms of collective value creation (network level) and private value capture (network participant level) (b) organizing platform activities for network orchestrators to exchange ideas, best practices and learn from each other, thereby facilitating the formation of a professional identity, standards and community of network orchestrators.
The Dutch main water systems face pressing environmental, economic and societal challenges due to climatic changes and increased human pressure. There is a growing awareness that nature-based solutions (NBS) provide cost-effective solutions that simultaneously provide environmental, social and economic benefits and help building resilience. In spite of being carefully designed and tested, many projects tend to fail along the way or never get implemented in the first place, wasting resources and undermining trust and confidence of practitioners in NBS. Why do so many projects lose momentum even after a proof of concept is delivered? Usually, failure can be attributed to a combination of eroding political will, societal opposition and economic uncertainties. While ecological and geological processes are often well understood, there is almost no understanding around societal and economic processes related to NBS. Therefore, there is an urgent need to carefully evaluate the societal, economic, and ecological impacts and to identify design principles fostering societal support and economic viability of NBS. We address these critical knowledge gaps in this research proposal, using the largest river restoration project of the Netherlands, the Border Meuse (Grensmaas), as a Living Lab. With a transdisciplinary consortium, stakeholders have a key role a recipient and provider of information, where the broader public is involved through citizen science. Our research is scientifically innovative by using mixed methods, combining novel qualitative methods (e.g. continuous participatory narrative inquiry) and quantitative methods (e.g. economic choice experiments to elicit tradeoffs and risk preferences, agent-based modeling). The ultimate aim is to create an integral learning environment (workbench) as a decision support tool for NBS. The workbench gathers data, prepares and verifies data sets, to help stakeholders (companies, government agencies, NGOs) to quantify impacts and visualize tradeoffs of decisions regarding NBS.
