Search Results (189)

This study explores the transformative potential of blockchain technology in overhauling conventional housing rental systems. It specifically addresses persistent issues, such as information asymmetry, fraudulent listings, weak Rental Agreements, and data breaches. A comprehensive review of ten academic publications highlights the architectural frameworks, underlying technologies, and myriad benefits of decentralized rental platforms. The intrinsic characteristics of blockchain—immutability, transparency, and decentralization—are pivotal in enhancing the credibility of rental information and proactively preventing fraudulent activities. Smart contracts emerge as a key innovation, enabling the automated execution of Rental Agreements, thereby significantly boosting efficiency and minimizing reliance on intermediaries. Furthermore, Decentralized Identity (DID) solutions offer a robust mechanism for securely managing identities, effectively mitigating risks associated with data leakage, and fostering a more trustworthy environment. The suitability of platforms such as Hyperledger Fabric for developing such sophisticated rental systems is also critically evaluated. Blockchain-based systems promise to dramatically increase market transparency, bolster transaction security, and enhance fraud prevention. They also offer streamlined processes for dispute resolution. Despite these significant advantages, the widespread adoption of blockchain in the rental sector faces several challenges. These include inherent technological complexity, adoption barriers, the need for extensive legal and regulatory adaptation, and critical privacy concerns (e.g., ensuring compliance with GDPR). Furthermore, blockchain scalability limitations and the intricate balance between data immutability and the necessity for occasional data corrections present considerable hurdles. Future research should focus on developing user-friendly DID solutions, enhancing blockchain performance and cost-efficiency, strengthening smart contract security, optimizing the overall user experience, and exploring seamless integration with emerging technologies. While current challenges are undeniable, blockchain technology offers a powerful suite of tools for fundamentally improving the rental market’s efficiency, transparency, and security, exhibiting significant potential to reshape the entire rental ecosystem. Full article

The purpose of this study is to synthesize existing peer-reviewed literature on fashion renting and provide insights into its role within the broader framework of sustainable consumption and business practices within different cultural contexts, while also guiding future research efforts. This review includes only peer-reviewed journal articles and book chapters in English, with the search conducted up to 31 March 2025. A total of 95 academic papers published between 2010 and 2025 were analyzed to explore the evolving landscape of fashion rental consumption and business practices. NVivo 14 was used for the analysis of the collected literature. The findings revealed six key motivating benefits and six significant barriers that influence consumer participation in fashion renting. Additionally, five success factors and four critical challenges were identified as shaping the development of the fashion rental market. This research represents the first attempt to synthesize literature from both the consumer and business perspectives of fashion renting. The findings provide a comprehensive understanding of market dynamics related to fashion rental consumption and business practices, shedding light on the key factors that support the sustainability of fashion rental businesses as well as the challenges they face. Both theoretical and practical implications are discussed, offering valuable guidance for researchers and fashion industry stakeholders. Full article

This study investigates the evaluation of housing policies for migrants in China, focusing on the interplay between rental and purchase decisions under the rent-and-purchase policy (RPP) framework. Employing a system dynamics model, we simulate migrant housing choices from 2001 to 2023 and forecast market trends from 2024 to 2030. The results indicate that RPPs significantly improve housing quality and reduce costs for migrants by mitigating institutional disparities and market distortions. Scenario analyses demonstrate that a coordinated approach combining supply-side interventions (e.g., affordable housing expansion) with rights-based policies (e.g., equalizing renter and buyer rights) effectively balances affordability and demand stability. The findings emphasize the critical role of addressing rights inequalities and advocate for a holistic policy framework to tackle migrant housing challenges, offering actionable insights for policymakers in system science and urban planning. Full article

Blockchain technology has evolved beyond financial transactions to revolutionize trust systems. This paper presents a blockchain-based model for decentralized rental agreements and dispute resolution (DRADR). By leveraging smart contracts and implementing two distinct arbitration approaches, our model offers flexible solutions for rental agreement automation, transparency enhancement, and impartial dispute resolution. Our study provides a comprehensive technical analysis of both approaches through theoretical frameworks, smart contract implementation, game-theoretic modeling, and comparative evaluation across multiple legal jurisdictions. We explore the potential of blockchain technology to address long-standing challenges in traditional rental systems, such as power imbalances, inefficiencies, and legal disputes. Key contributions include the integration of decentralized and local justice systems; a detailed game-theoretic analysis of strategic behaviors; and comparative insights into gas efficiency, economic viability, and jurisdictional adaptability across both arbitration approaches. This research paves the way for a more equitable and transparent rental market and contributes to the broader acceptance of blockchain-based solutions in everyday transactions. Full article

This study investigates the determinants of Airbnb prices in Athens and Thessaloniki, Greece, employing a hybrid approach combining econometric analysis, machine learning techniques, and artificial intelligence tools. Our findings highlight the significance of location, property type, host responsiveness, listing quality, and photograph quality in influencing rental prices. Notably, we leverage a publicly available AI tool to assess the esthetic and technical quality of listing photos, demonstrating its positive impact on rental prices. This underscores the increasing importance of visual marketing in the sharing economy and the democratization of AI tools for optimizing pricing strategies. We also conduct machine learning analysis, employing algorithms like Random Forest, k-Nearest Neighbors, Support Vector Machine, Neural Network, Gradient Boosting, and AdaBoost. Both AdaBoost and Gradient Boosting demonstrate strong performance across various metrics, with AdaBoost showing an advantage. The study offers valuable insights for Airbnb hosts, platform developers, and policymakers in understanding and optimizing pricing strategies within the short-term rental market. Full article

The increasing digitalisation of housing markets has expanded the types and sources of data available for research. However, there is limited understanding of how these diverse data types are used across different themes in urban housing studies and which analytical approaches are applied. This study addresses these questions through a systematic review of 71 peer-reviewed studies published between 2010 and 2021, following PRISMA guidelines. The review identifies five dominant research themes: housing market analysis, rental market analysis, housing policy evaluation, housing affordability, and housing inequality. It also classifies five main data sources: official statistics, non-official statistics, surveys and qualitative data, big data, and social media. A cross-examination of themes and data types shows that official statistics remain the most frequently used across the themes, while emerging data sources such as big data and social media are underutilised—especially in research on informal housing and demand-side dynamics. Regression analysis and hedonic modelling are the most commonly applied analytical methods, with the choice of method largely shaped by research objectives and data types. By developing a cross-typology framework linking research themes, data sources, and methods, this study provides an evidence base for inclusive, responsive, and data-informed strategies that support socially and economically sustainable urban housing systems. Full article

This study investigates the impact of Environmental, Social, and Governance (ESG) certifications on the performance of Class A office buildings within Madrid’s Central Business District (CBD). Employing a Multi-Criteria Decision Making (MCDM) methodology, the research evaluates 21 office properties, analyzing the influence of ESG certifications on key performance indicators, including green building certifications, valuation, market perception, and financial outcomes. The findings reveal that ESG-certified buildings demonstrate superior performance, commanding higher valuations, mitigating brown discounts, and achieving increased rental rates, thereby enhancing their investment attractiveness. These results underscore the importance of ESG certifications in the Spanish office market and provide valuable insights for investors, developers, and policymakers navigating the integration of sustainability and commercial real estate. Full article

This study examines housing affordability trends in Central Europe, focusing on the Czech Republic, Slovakia, Austria, and Poland, in the wake of recent global disruptions including the COVID-19 pandemic, the 2021–2022 energy crisis, and the war in Ukraine. These events have intensified housing affordability challenges by driving up property prices, rental costs, and energy expenses. Using data from December 2022 to March 2023, the paper analyzes wage levels relative to housing costs in major cities—Prague, Brno, Bratislava, Vienna, Graz, Warsaw, and Kraków—through price-to-income and rent-to-income ratios. The findings reveal that affordability is most strained in Czech cities, particularly Prague, where property prices outpace wages, while Vienna demonstrates better affordability due to higher average incomes. The study integrates real estate platform data with official statistics and employs spatial mapping and exploratory econometric testing to identify affordability patterns and disparities. It concludes that affordability outcomes are shaped by wage dynamics, housing supply constraints, migration pressures, and policy responses. The study underscores the importance of targeted housing policies and wage interventions to address these challenges and highlights the need for cross-country policy learning and regional coordination to improve housing affordability and market resilience across Central Europe. Full article

This study examines access to rental housing in the metropolitan area of Las Palmas de Gran Canaria, linking it to socio-economic inequalities and the increasing precarization. In recent years, housing affordability has worsened due to rising rents, stagnant wages, and speculative dynamics—particularly those linked to tourism and platform-based economies. Drawing on official data from the State Reference System for Rental Housing Prices (SERPAVI) and income statistics at the census tract level, this research quantifies housing affordability and spatial disparities through indicators such as economic effort rates. The analysis identifies patterns of exclusion and urban fragmentation, showing that large sectors of the population—especially those earning the minimum age—face severe barriers to accessing adequate housing. The findings highlight the insufficiency of current public policies and propose the expansion of social rental housing and stricter rental market regulation as necessary steps to ensure fairer urban conditions. Full article

This study examines the impact of housing price increases on income inequality using the dynamic system GMM for OECD countries (2010–2021). We test the hypothesis that housing price appreciation affects income distribution differently based on economic development levels and homeownership patterns. The analysis is conducted both for the entire sample and by dividing countries into two groups based on per capita income, Group 1 (16 countries) with below-median per capita GDP and Group 2 (17 countries) with above-median per capita GDP, to account to account for structural differences in housing markets, financial systems, and wealth accumulation mechanisms. The findings show that rising housing prices help reduce income inequality, especially in countries that are relatively low-income and where more low-income households own their homes. Specifically, our estimates indicate that a one-point increase in the housing price index leads to a statistically significant (p < 0.05) 0.21 percentage point reduction in the Gini change rate in lower-income countries. However, in higher-income countries, the effect of housing prices on inequality is statistically insignificant, suggesting that the relationship between housing markets and income inequality varies across different economic contexts. This insignificance likely stems from countervailing forces: while housing appreciation increases wealth for homeowners, higher housing costs may disproportionately burden lower-income households through rental markets in these economies. The findings highlight the importance of country-specific housing programs that consider homeownership patterns and financial market access in tackling inequality, along with comprehensive public social policies. Our study has implications for policymakers seeking to address inequality through housing market interventions, particularly during the post-2008 recovery period and into the early pandemic phase. Full article

The competitiveness of tourism destinations is a multidimensional concept encompassing natural and cultural resources, infrastructure, accessibility, and services that cater to an increasingly discerning tourism market. Business ecosystems enhance these competitive conditions by adapting to consumers seeking high-value, differentiated experiences. This study examined the relationship between accommodation supply and tourist expenditure in the Canary Islands based on a sample of 38,071 visitors from the 2024 Tourist Expenditure Survey (EGT) of the Canary Islands Statistics Institute. Using Python and R for statistical processing, the findings revealed distinct spending patterns across accommodation types, from five-star hotels to peer-to-peer rentals, demonstrating how supply diversification influences competitiveness. The results reinforce prior research on the significance of investing in infrastructure, technology, and human capital to optimise the tourist experience. Tourist expenditure serves as an indicator of competitiveness, reflecting visitor preferences and the destination’s capacity to meet them. Accommodation choice is identified as a key determinant of spending patterns and their distribution within the local economy. This study provides an analytical basis for evaluating tourism strategies, emphasising the strategic importance of accommodation heterogeneity. It advances methodological understanding of tourist spending behaviour, offering a practical framework for destination development and strategic planning. Full article

Efficient supply–demand management in Product-as-a-Service (PaaS) markets requires tools to evaluate pricing strategies while integrating sustainability goals like reuse, efficiency, and carbon footprint reduction. This paper introduces a declarative modeling framework aimed at balancing the three pillars of profitability, cost optimization, and sustainability in PaaS markets. The framework addresses risks such as equipment failure, usage variability, and economic fluctuations, helping providers optimize pricing and operating costs while enabling customers to manage expenses. A declarative model is developed to assess the PaaS market balance to determine optimal leasing offers and requests for quotations. A case study is used to validate the framework, involving devices with specific rental prices and failure rates, as well as customer expectations and budget constraints. Computational experiments demonstrate the model’s practical applicability in real-world scenarios and it can be used by PaaS providers to develop competitive leasing strategies, policymakers to assess market stability, and enterprises to optimize procurement decisions. The findings show that the framework can guide decision making, offering insights into the impact of new technologies, compatibility conditions for leasing offers, and strategies for balancing providers’ profits and customers’ costs. The proposed framework has broad applicability across industries such as manufacturing, healthcare, logistics, and IT infrastructure leasing, where efficient resource allocation and lifecycle management are crucial. Full article

Pilot policy relating to the building of rental houses on collectively owned land is crucial for forming integrated urban and rural construction land markets and promoting rural revitalization. However, inequalities in the distribution of benefits may impede pilot projects. This paper employs a mixed-methods approach combining social network analysis, case study, and game theory to analyze the strategic decisions of key stakeholders in pilot policy, aiming to identify challenges and barriers to its implementation. Local governments, rural collective economic organizations, and enterprises are defined as the three key stakeholders, according to social network analysis. The findings suggest that the successful implementation of pilot policy requires cooperation among at least two stakeholders. Key factors influencing stakeholders include policy risk, market risk, the local government’s stance on the pilot policy, communication, coordination costs, the capabilities of collective economic organizations, and expected benefits, all of which can lead to conflicts among stakeholders. Strategies to support equilibrium of the interests of all parties are proposed, in order to promote cooperation among these three core categories of stakeholders. Full article

There is growing recognition that build-to-rent (BTR), a novel institutional asset class, could improve rental affordability and housing choice in Australia. Despite favourable market conditions and increasing demand, Australia’s BTR sector remains underdeveloped compared to the US and UK. Although the asset class has attracted significant foreign institutional capital, there is little interest from domestic institutional funds. This contrasting investment behaviour between foreign and domestic funds has brought a new dimension to the debates on BTR in Australia. The study uses qualitative research design to examine institutional investor behaviour towards BTR in Australia. Interviews were conducted with experienced BTR investors across three countries—Australia, the US, and the UK—to understand the barriers and investment behaviour towards BTR. The study finds that the key barriers hindering BTR growth in Australia include unfavourable tax treatment, complex planning processes, and insufficient affordable housing incentives. Institutional investors’ decisions are influenced by firm characteristics, operational capabilities, and risk attitudes. Due to risk considerations, Australian superfunds prefer stabilised assets over new developments. Also, sustainability and ESG factors are increasingly important considerations in BTR investment decisions. The research highlights the need for a supportive regulatory environment, efficient property management, and innovative financing solutions to boost BTR investments. To accelerate BTR growth in Australia, policymakers should address tax disparities, streamline planning processes, and enhance affordable housing incentives. Developing BTR-responsive financial instruments could reduce financing costs and attract more institutional capital to the sector. Full article

Australia’s housing affordability crisis has deepened despite extensive policy intervention, with the private rental sector experiencing unprecedented pressure. This study proposes that affordable housing should guarantee low and moderate-income households their fundamental right to access secure and safe dwellings, enabling these households to meet essential needs and maintain quality of life without enduring housing stress. Despite significant public investment, a critical housing shortage persists across the nation with a need to build 640,000 homes annually. This crisis is exacerbated by ineffective public–private–community partnerships (PPCP) and the absence of a unified national housing policy. This study critically examines the NRAS to understand why market-based interventions have consistently fallen short of addressing housing affordability challenges. Through empirical analysis of 31 in-depth interviews with senior stakeholders across public, private and community sectors, this research identifies five systemic barriers: definitional inconsistencies in affordable housing policy; inflexible strategic frameworks; misaligned investment incentives; geographical inequities in resource allocation; and fragmented governance structures. The study introduces the Personal and Collective Will in Policy Implementation (PaCWiPI) framework as an innovative approach integrating Maslow’s Hierarchy of Needs with Henderson’s Poverty Line metrics. Our findings demonstrate that effective housing policy requires a fundamental shift from rigid, standardised approaches towards adaptive frameworks that are responsive to diverse market conditions. This research advances housing policy scholarship by providing empirical evidence of implementation barriers while offering practical recommendations for future initiatives, relevant to the current Housing Australia Future Fund and other regionally-related housing policies. Full article