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The dominant tone of the literature on land's territorial politics misses conceptual complexities by neglecting historical constructions of land practices. An alternative understanding intertwines social and political elements emphasised in the non‐dualistic, beyond dialectics, tongbian philosophy. This views everything as consisting of two mutually embedded, opposite poles—different yet without alienation; set in a ceaseless interaction as processes of becoming, continuity and change. The concept of focus–field relationship via a spatial story deciphers complexities between viewing land as territory (LaT) and land as property (LaP). Mobilising this formulation in sites of intensive real estate change (Hong Kong's Sham Shui Po and Mumbai's Malad) reveals subtleties of historical antecedents shaping contemporary forces. Here, complex institutional entanglements reveal both diachronic and synchronic interactions wherein the dynamics of control, shifts in power, growth or decline in time and space co‐join LaT and LaP. Such political complexities question views of land's transformation being contingent on archaic ideas of the Westphalian state and uni‐polar framings of capital moving from the North to the South. The tongbian philosophy allows the exploring of ideas of difference without alienation, embracing epistemic and ontological equivalence in theory and fieldwork, and between the North and South—themes seldom taken up in the geographical literature. Finally, the paper proposes a study of land dynamics using the concept of land occupancy via the spatial story approach. [ABSTRACT FROM AUTHOR]

• The spillover transmission among sectors in China fluctuates between 55% and 90%. • Real estate acts as a net transmitter of shocks to other sectors until April 2006. • Real estate acts as a net receiver of shocks from May 2006 onwards. • Real estate transmitted shocks to the telecom services, financial, and energy sectors. • Real estate predominantly received shocks from the remaining sectors. The real estate sector in China has strong connections with other sectors. By employing forecast error variance decompositions from least absolute shrinkage and selection operator vector autoregression (LASSO-VAR) model, this study explores the real estate sector's role in China's sectoral network between January 1, 2000, and June 30, 2023. Our analysis reveals that the total sectoral connectedness ranged between 80% and 90% before 2016, but fluctuated between 55% and 90% from 2016 to June 2023. We also identify that shocks primarily spread from the real estate sector to the financial sector from 2014 to 2019. However, this pattern was reversed, with shocks spreading from the financial sector to the real estate sector from early 2020 to June 2023. Furthermore, we observe that the government's long-term mechanisms for the real estate sector have a significant impact on the connection between the real estate sector and the other sectors. [ABSTRACT FROM AUTHOR]

Copyright of EURE is the property of Pontificia Universidad Catolica de Chile and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: ESG (Environment, Social, Governance) has taken on increased importance in recent years for all stakeholders, with the S dimension now taking on a stronger focus in the real estate space. This paper proposes a new metric to be used in the S space to assess improvements in aspects such as gender equality and cultural diversity in real estate. It adds to the S metrics currently available to see the more effective delivery of the S dimension into real estate investment decision-making. Design/methodology/approach: A new S metric in ESG is proposed and validated. Using this metric, examples regarding gender equality and cultural diversity are assessed among leading real estate players in Australia. This S metric is assessed over a number of time periods to demonstrate the improvements in gender equality and cultural diversity in these major real estate players. Findings: This new S metric is seen to be highly effective and robust in capturing the changes in various aspects of the S dimension in ESG in the real estate space today; particularly concerning gender equality and cultural diversity. It is clearly able to demonstrate the significant changes in increased participation of women at the more senior leadership levels by leading players in the real estate space. Practical implications: With ESG becoming a critical issue in the real estate sector, issues involved in the S space will take on increased significance going forward. This is critical, as the elements of the S dimension such as gender equality and cultural diversity are important aspects for an effectively functioning real estate industry. The S metric developed in this paper can be used for benchmarking purposes over time, as well as between real estate players, between sub-sections within a real estate organisation, and comparing against other industry sectors. It is also relevant in all organisations, and is not just limited to the real estate sector. Additional metrics in the S space are an important development to further empirically assess the effective delivery of the S dimension of ESG in the real estate sector and more broadly. Originality/value: This paper specifically proposes this new S metric in ESG in the real estate industry. This is a key issue for the real estate industry going forward at all levels, as it will facilitate a more diverse real estate industry and more effective real estate investment decision-making. This S metric is applicable in all organisational sectors where the S dimension of ESG is important. [ABSTRACT FROM AUTHOR]

Airbnb has created a significant incentive to invest in real-estate with the purpose of short-term accommodation provision in touristic cities. The robust growth of Airbnb supply has been accompanied with an increasing professionalization of the platform, contributing to such challenges as overtourism and gentrification. The main aim of this analysis is to examine the spatial characteristics of Airbnb supply in Barcelona, Berlin and London, focussing on the differences between offers that belong to non-professional and professional hosts. Based on Exploratory Spatial Data Analysis techniques the study demonstrates that listings that belong to professional hosts are more concentrated in city centres, and are more influenced by the location of tourist attractions and hotels than non-professional offers. On the other hand, non-professional listings facilitate a spatially more diverse accommodation supply. The results suggest that professional offers may contribute more to the negative effects of Airbnb on local residents. [ABSTRACT FROM AUTHOR]

This study examines the effect of tax avoidance on the cost of debt with tax risk as a moderating variable titled "The Effect of Tax Avoidance on The Cost of Debt with Tax Risk as A Moderating Variable". The data examined in this research comes from secondary data in the form of financial reports presented by the company. The companies that will be researched are infrastructure, transportation & logistics, property & real estate, and technology listed on the IDX for the 2019-2022 period listed on the IDX. Based on the object of this research, a total of 104 financial reports are observation data. This research uses the Descriptive Statistics Test, the Classical Assumption Test and the Multicollinearity Test as stages to test the normality of the data. Then, there is multiple linear analysis, which is continued with the Coefficient of Determination Test and ends with hypothesis testing via the T and F tests. The results obtained are tax. Avoidance positively affects the cost of debt, so tax risk weakens the interaction of tax avoidance with the cost of debt. [ABSTRACT FROM AUTHOR]

Real estate, characterized by its diverse and complex nature, presents a multifaceted research domain. It encompasses various topics and challenges, making it both content-wise challenging and multidimensional. This study aims to conduct a knowledge mapping of the literature in the real estate field using a sample of 9700 document articles published between 1929 and 2023 based on publications indexed in the Web of Science database. This study utilizes the software SciMAT (version 1.1.04) to demonstrate hot keywords and trends in this field and additionally employs the VOSviewer (version 1.6.19) tool to analyze keywords, countries, authors, and sources. Authors reveal a growing interest in real estate literature, with the USA contributing the most publications, while relatively few originate from Africa and South America. This study investigates the strategic themes and the scientific evolution structure, provides a comprehensive examination of the current state of real estate literature, and helps in understanding its development. It offers a valuable reference point for future research in this domain. [ABSTRACT FROM AUTHOR]

This study uses time series regression models and dynamic panel models of five-class housing to investigate the dynamics of the housing price-vacancy relationship in Hong Kong, offering insights distinct from previous cross-sectional analyses that take new housing completions as a supply proxy, without considering vacant homes as a source of housing supply. Two major contributions emerge: first, the results support the hypothesis that housing vacancies exert a negative impact on housing prices, holding other factors constant. Second, new builds supply is found to have a positive effect on housing prices, which is in line with many previous studies, but it contradicts the prediction. The results challenge the use of land supply or new housing completions as the proxy of housing supply and put forward a novel suggestion of including vacant homes in the housing price analysis. Advanced approaches to collecting housing vacancy data are also discussed. These findings have significant implications for policymakers, urban planners, and real estate investors, providing valuable insights for crafting targeted interventions and informing investment decisions. This is one of the first time series and dynamic panel analyses of housing vacancy's effect on prices. [ABSTRACT FROM AUTHOR]

Venturing into the digital frontier, the metaverse challenges our traditional understanding of real estate, beckoning a deep dive into its virtual realms and the complexities they harbour. This research seeks to provide an integrative framework for comprehending the intricacies of virtual real estate within the metaverse, emphasising its valuation, governance and sustainability. Utilising an exploratory design, the study amalgamates insights from existing metaverse literature and stakeholder perspectives to fashion a robust framework, which is further augmented by derived theoretical propositions. The findings shed light on the multifarious challenges inherent to the metaverse's virtual real estate. There is a spotlight on the substantial energy demands of the metaverse and the consequent ecological imperative for sustainable digital practices. It underscores the need for malleable governance mechanisms in a decentralised metaverse and champions the harmonisation of age-old ownership philosophies with avant-garde technological solutions such as blockchain. The research also postulates a collaborative ethos for virtual space creation and propounds innovative financial paradigms tailored to the unique economic rhythm of the metaverse. Future research vectors could span the cultural and psychological facets of virtual domains and the ripple effects on conventional real estate frameworks. [ABSTRACT FROM AUTHOR]

This study highlights the critical function that digital real estate platforms, like Zillow, serve in facilitating effective property transactions. They do this by transmitting vital property information from sellers to buyers, thereby enriching the value of offline deals. Our findings indicate that Zillow, as a source of information, is incredibly valuable for properties that deviate significantly from their neighborhood's average value, either above or below. It's particularly useful in conveying experiential details through images and textual descriptions. For potential buyers, Zillow is a trustworthy source of property information for estimating property value, especially when alternative sources of information are limited. This study underscores the necessity for sellers and their agents to effectively represent property information online, considering its significant impact on sale prices. This is especially true for unique properties and properties with notable experiential elements. Furthermore, our study suggests that real estate professionals need to modify their business practices to take full advantage of digital platforms and provide superior services to their clients. Finally, digital real estate platforms can use these insights to enhance their platform design by focusing on the collection and display of significant information, ultimately increasing the value provided to both buyers and sellers of properties. Digital platforms facilitate the flow of information and the execution of transactions. This study investigates the impact of signals from platform-provided online information regarding search and experience attributes of products on the prices of their offline transactions. We situate our theorizing and empirical work in the context of digital real estate platforms. Our results suggest that online information pertaining to properties' experience attributes has a significant influence on the prices of offline property transactions. The amount of online information relating to experience attributes—specifically, length of textual property description and the number of photos—positively influences the sale price of a property. In contrast, the amount of online property information related to search attributes—specifically, facts and features—has no significant influence on the property's sale price. In addition, online property information on experience attributes has a significant impact on the sale price of uncommon properties (those valued significantly above or below their neighborhood averages), whereas its impact on the price of common properties (those valued close to their neighborhood averages) is insignificant. The findings are robust to various model specifications and across property transactions in different years, seasons, and geographical regions. They are also neither subject to confounding effect of real estate agents' service quality nor driven by unobserved property heterogeneities. The findings shed light on how signals from online property information are used by home buyers and sellers for different types of properties. The insights have implications for how real estate professionals can better utilize digital platforms to convey signals regarding properties and facilitate property transactions and for how the platforms can be designed to support the exchange of information that provides signals on the quality of offline goods that are highly risky and experiential. History: Rajiv Kohli, Senior Editor; Huigang Liang, Associate Editor. Supplemental Material: The online appendix is available at https://doi.org/10.1287/isre.2020.0658. [ABSTRACT FROM AUTHOR]

Home should be a place for social activities that satisfy both physical and social needs. Real estate developers in Jeddah currently show little consideration for cultural and social patterns of users in residential interior layouts. Therefore, this study aims to investigate apartments released by real estate developers in Jeddah from users' perspectives. Qualitative and quantitative approaches are applied through in-depth interviews with 21 participants. The interviews investigate participants' satisfaction, desire to make changes, reasons for making changes, and reasons for not making changes. This study finds that the majority of participants want to make changes to the layout of their homes owing to social activities. The SPSS analysis shows that most participants are less satisfied with the home layouts of RED than homes that are self-built, with a statistical significance of P = 0.002. This study recommends that RED companies should consider open spaces when designing apartments for sale so as to allow users to divide the interior layouts of reception and living zones according to their needs. In order to achieve this by RED, the study recommends more study by electrical engineer for electricity switches location, architects for window location, and construction engineers for column arrangement. Article Highlights: This study investigates satisfaction with apartments bought in Jeddah, Saudi Arabia. The study discusses finding in comparison between self-builder and Real estate- developer. The study conducts 21 interviews with residents and applies a mixed qualitative– quantitative approach for the analysis. The study discussed privacy, safety and room size or layout as factors for making changes. In this study a self-builder refers to an owner who deals with a contractor to build a home on their land. RED refers to Real estate developers [ABSTRACT FROM AUTHOR]

Copyright of Taiwan Law Review is the property of Angle Publishing Co., Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Planning Education & Research is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Cognitive ability, as the initial human capital, has been the focus of academic research for many years. However, few human capital studies have focused on non-cognitive ability and explored its socio-economic value. With the inclusion of non-cognitive ability, the human capital study has got rid of the shortcoming of single-dimensional abilities and the socio-economic value of non-cognitive ability has been gradually explored. Therefore, it is of great academic and practical significance to explore the factors influencing children's non-cognitive ability. Using the CFPS database in 2018, this study investigates the effects and mechanisms of family economic capital on the non-cognitive ability of children. The robustness test is also used to further verify the reliability of the conclusions. The results reveal that family economic capital is significantly associated with children's non-cognitive ability, and this effect is biased by the subject. In addition, the mediating effect model suggests that family economic capital affects children's non-cognitive ability mainly through family education expenditure and family time investment. Therefore, helping families improve their economic capital, education expenditure and time investment contributes to promote the development of their children's non-cognitive ability, which will effectively raise human capital stock and help China achieve economic transformation as soon as possible. [ABSTRACT FROM AUTHOR]

Motivated by the increasing demand for alternative assets that can contribute to reducing portfolio risk, this paper examines the volatility spillovers between collateralized loan obligations (CLOs) and various in-demand investment instruments, including equities, bonds, crude oil, commodities, gold, bitcoin, shipping and real estate. The applied methodology comprehends the time-varying parameter vector autoregressive (TVP-VAR) modification of the classical spillover approach, for the period from January 1, 2012, to August 31, 2023. The empirical findings show moderate levels of dynamic connectedness; albeit several external shocks strengthened the interconnection among the assets. Moreover, we compare the ability of CLOs for hedging, during the overall sample period and multiple subperiods, by estimating hedge ratios and optimal portfolio weights, in order to inform investors about feasible portfolio adjustments. Our results indicate that CLOs constitute an effective hedging tool, irrespective of the period covered, as the short position in their volatility provides high hedging effectiveness for investors holding long positions in the volatility of all the remaining assets. [ABSTRACT FROM AUTHOR]

Copyright of Revista Latinoamericana de Estudios Urbano Regionales is the property of Pontificia Universidad Catolica de Chile and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Foco (Interdisciplinary Studies Journal) is the property of Revista Foco and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)