This study is the first to estimate the size of the informal tourism economy. Using a dynamic general equilibrium model, this paper first estimates the size of the informal tourism economy and then assesses its linkages to key labour market variables in Thailand. Empirical results indicate that: (a) the informal tourism economy grows faster than the formal tourism and aggregate economy; (b) both formal and informal tourism economies absorb the unemployed; (c) the relationship between formal and informal economies is negative in the aggregate but positive in the tourism sector.
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This article examines the types of capitals possessed by informal tourism entrepreneurs and locates their value within the field relations that orders their contribution to the tourism system. Bourdieu's theory on fields and capitals was applied to ethnographic narrative accounts of stakeholders in tourism in Chiang Mai, Thailand to assess these roles. Informal entrepreneurs have limited access to resources and their perspectives are excluded from academic debates and policy initiatives. The paper identifies the dynamism, positive social capital, flexibility, and symbolic capital of informal entrepreneurs. These are related to the field conditions that determine and structure their contribution to tourism destinations. The analysis reveals the importance of collaboration between informal entrepreneurs and other stakeholders, concluding with recommendations for policy makers.
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What will a shopping street look like in 2025, when online shopping continues to show double-digit growth? And what will 3D printing do to factories and logistic companies, when we can ‘print’ more and more products at home or around the corner?The digital economy is one of the most pervasive game changers in cities. It creates and destroys, and affects the way cities function in many ways. But what is exactly the digital economy about? How big is it? Which types of transformation is it provoking in urban economies? And, importantly, what can local governments do to cope with the digital transition and foster sustainable urban development?
MULTIFILE
This project entails a feasibility study to assess the possibility of creating an open-access, community-based makerspace in the Vietnamese city of Can Tho. The aim of the project is to kickstart the community based circular economy by utilizing residual flows from the plastic catching process. Plastic catchers trap both plastic and biomass that will be converted into new products to strengthen both the local economy and providing Dutch SME-company Orange Star Solutions with the necessary raw materials to convert into produce. The project will make use of a plot of land bordering the Song Can Tho river. The owner proposed that the plot of land could be used in a way to generate income, preferable in a way that would show environmental awareness. This could be done by using the vast amounts of (in)organic waste that is littering the environment. The collection of the waste is mainly done by local waste pickers. The waste pickers, part of the informal economy, could unleash their full potential if there is a physical location where waste is upcycled and sold, circumventing the bury, burn or bale-and-export economy. The extracted plastic will be converted into pans, cups, pots and crockery. The biomass, predominantly water hyacinth, will serve as one of the ingredients for compost hence, reducing the reliance on chemical fertilizers.
The modern economy is largely data-driven and relies on the processing and sharing of data across organizations as a key contributor to its success. At the same time, the value, amount, and sensitivity of processed data is steadily increasing, making it a major target of cyber-attacks. A large fraction of the many reported data breaches happened in the healthcare sector, mostly affecting privacy-sensitive data such as medical records and other patient data. This puts data security technologies as a priority item on the agenda of many healthcare organizations, such as of the Dutch health insurance company Centraal Ziekenfonds (CZ). In particular when it comes to sharing data securely, practical data protection technologies are lacking as they mostly focus on securing the link between two organizations while being completely oblivious of what is happening with the data after sharing. For CZ, searchable encryption (SE) technologies that allow to share data in encrypted form, while enabling the private search on this encrypted data without the need to decrypt, are of particular interest. Unfortunately, existing efficient SE schemes completely leak the access pattern (= pattern of encrypted search results, e.g. identifiers of retrieved items) and the search pattern (= pattern of search queries, e.g. frequency of same queries), making them susceptible to leakage-abuse attacks that exploit this leakage to recover what has been queried for and/or (parts of) the shared data itself. The SHARE project will investigate ways to reduce the leakage in searchable encryption in order to mitigate the impact of leakage-abuse attacks while keeping the performance-level high enough for practical use. Concretely, we propose the construction of SE schemes that allow the leakage to be modeled as a statistic released on the queries and shared dataset in terms of ε-differential privacy, a well-established notion that informally says that, after observing the statistic, you learn approximately (determined by the ε-parameter) the same amount of information about an individual data item or query as if the item was not present in the dataset or the query has not been performed. Naturally, such an approach will produce false positives and negatives in the querying process, affecting the scheme’s performance. By calibrating the ε-parameter, we can achieve various leakage-performance trade-offs tailored to the needs of specific applications. SHARE will explore the idea of differentially-private leakage on different parts of SE with different search capabilities, starting with exact-keyword-match SE schemes with differentially-private leakage on the access pattern only, up to schemes with differentially-private leakage on the access and search pattern as well as on the shared dataset itself, allowing for more expressive query types like fuzzy match, range, or substring queries. SHARE comes with an attack lab in which we investigate existing and new types of leakage-abuse attacks to assess the mitigation-potential of our proposed combination of differential privacy with cryptographic guarantees in searchable encryption. To stimulate commercial exploitation of SHARE-results, our consortium partners CZ and TNO will take the lead on applying and evaluating our envisioned technologies in various healthcare use-cases.
