Vietnamese farmed pangasius products have experienced major price fluctuations over numerous crop cycles exposing this important export commodity to risk and uncertainty. This study focuses on two distinct areas of risk. First, this study seeks to measures the farm-gate price volatility, explores farmers’ perceptions about the price volatility risk related to the input sourcing and output selling activities, and quantifies the effectiveness of price volatility risk management strategies. Second, the relationships between farm and farmer socioeconomic characteristics, perceptions about the price volatility risk and management strategies are also examined. To respond to these research questions, a focus group workshop was conducted with 29 stakeholders and a structured survey with 92 farmers located in the provinces of An Giang, Can Tho, and Dong Thap of the Vietnamese Mekong Delta. Results illustrated that the pangasius farm-gate price fluctuates significantly over time. Vietnamese pangasius farmers are mainly concerned about the volatilities of input and output prices, additionally with the instability of the volume input supply, instability in demand volume, and weak legislation on sale contracts. Results further indicate that price volatility risk management strategies are less effective in practically protecting farmers against price volatility risks. Farmers with higher education knowledge opt for fully integrated farms and are less concerned about the output price volatility risk. Promoting risk-sharing schemes such as contract farms or insurance for farmers with higher educational levels and being accessible to credit could support Vietnamese pangasius farmers toward increasing the sustainability of pangasius production.
Irene Maldini’s PhD research discusses the quantity of clothing produced and consumed, its growth, and the environmental challenges associated with it. Moreover, Maldini examines how the field of design has reacted to this issue, reflecting critically on the gap between the expected and the actual effects of design strategies aimed at reducing clothing demand. Clothing personalization and durability have been central strategies to that end; however, this research points out that their expected effects are based on partial historical views and simplistic perspectives of clothing consumption. Therefore, the study proceeds in offering an alternative perspective on clothing consumption building on the systemic nature of the wardrobe.
MULTIFILE
The production, use, disposal and recovery of packaging not only generates massive volumes of waste, it also consumes raw materials, water and energy (Fitzpatrick et al. 2012). Simultaneously, consumers have shown an increasing interest in products incorporating sustainable and social attributes (Kletzan et al., 2006). As a result, environmentally friendly packaging, also called ecofriendly or sustainable packaging, has become mainstream. In this context, packaging is more than just ensuring the product's protection and easing transportation, it is also a communicative tool (Palmer, 2000) and it becomes associated with multiple drivers of the purchasing process. Consequently, companies face pressure to innovate responding to consumer demands, and focusing on sustainable solutions that reduce harmful materials and favour green alternatives for both, the product and the packaging. Although the above has triggered research on consumer choice for sustainable products and alternatives on sustainable packaging, the relation between sustainable packaging and consumer behaviour remains underexplored. This research unpacks this relationship, i.e., empirically verifies which dimensions (recyclability, biodegradability, reusability) of sustainable packaging are perceived and valued by consumers. Put differently, this research investigates consumer behaviour towards the functions of sustainable packaging in terms of product protection, convenience, reliability of information and promotion, and scrutinises the perceived credibility of the associated ethical responsibility claims. It aims to identify those packaging materials and/or sustainability characteristics perceived as more sustainable by consumers as well as the factors influencing actual consumer choice towards sustainable packaged products. We aim to gain more insights in the perceptual frame that different types of consumers apply when exposed to sustainable packaging. To this end, we will make use of revealed preference methods to measure consumer valuations of sustainable packaged products. This game-theoretic approach should provide a more complete depiction of consumers' perceptions and preferences.
In het project CW4.0 onderzoeken MKB’ers uit de houtindustrie en Smart Industry samen met de Hogeschool van Amsterdam (HvA), kennispartners TNO, HMC en Bouwlab R&Do en partners in hospitality hoe zinvolle toepassingen te maken van resthout, met behulp van Industry 4.0-principes. Hoogwaardig hout blijft momenteel ongebruikt, omdat het te arbeids-intensief is grote hoeveelheden ongelijkmatige stukken hout van verschillende grootte en houtsoort te verwerken. Waardevol resthout wordt zo waardeloos afval, tegen de principes van de circulaire economie in. CW4.0 richt zich op de ontwikkeling van geautomatiseerde processen voor houtverwerking gebaseerd op Industry 4.0 technologieën - met behulp van digitale ontwerptools en industriële robots. Uit eerdere projecten van HvA en partners is gebleken dat deze processen het gebruik van resthout levensvatbaar kunnen maken, in het bijzonder voor toepassingen in de hospitality sector, bijvoorbeeld voor receptiebalies, hotelmeubilair en interieurdelen. CW4.0 wordt dan ook uitgevoerd in samenwerking met hospitality-ontwerpers en hotelketels. Het onderzoek concentreert zich op 1) het creëren van een digital twin (=digitale kopie van een beoogd object of proces, om dit te onderzoeken zonder het eerst te hoeven bouwen) van een ‘upcycle houtfabriek’; 2) het realiseren en beproeven van secties van de fabriek; 3) het ontwerpen en prototypen van hospitality toepassingen en 4) het evalueren van de business case van deze toepassingen en de fabriek in het algemeen. Na afloop is er kennis beschikbaar voor houtindustrie om afval te verminderen, voor Smart Industry om hun digitale technologieën toe te passen voor upcycling van materialen, en voor horecapartners om waardevolle toepassingen te creëren van resthout. Het project is een belangrijke stap in de opschaling van industriële robotproductie met circulaire materialen. Het legt een nieuwe, belangrijke verbinding tussen Smart Industry en de circulaire transitie, gericht op het aanpakken van urgente maatschappelijke uitdagingen verband houdend met materiële schaarste en de mondiale milieucrisis.
One of the major challenges for microsystem-based (MEMS -based) devices producing companies in general, and Bronkhorst High-Tech in particular, is to determine as early as possible in the production process which devices perform within specifications and if so by how much. Being able to separate the devices that do not comply as early as possible in the assembly flow would prevent spending time, money and materials on unsellable products. Being able to further separate good devices in multiple “performance bins” would bring even more cost and waste reduction by enabling Bronkhorst to pre-select finished products for different customer requirements. In this project we specifically focus on a micromachined flow sensor which is considered for a scale-up in production volumes in the near future. The ability to separate out badly performing devices translates to the challenge of finding a suitable test method, yielding the following research question: what are the success factors that would allow our MEMS partners to correlate product performance with measurements (tests) performed early in the production cycle? An answer makes it possible to implement the planned production scale-up of this MEMS device but also to reduce costs and waste typically associated with production failures. The device selected in this project is taken as an example for a broad range of chip-based MEMS devices with similar challenges. Therefore, we plan to use an applied research approach, looking at theoretical models of both device and production process, performing correlation measurements and delivering our recommendations on how to best tackle these production issues. It is our intention to thus generate expertise (knowledge & data) as well as a network on which we build a consortium around a future PPS (public-private partnership) where these challenges form a common theme.
