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The study aims to estimate the short- and long-run effects of monetary policy on residential property prices in South Africa. Over the past decades, there has been a monetary policy shift, from targeting money supply and exchange rate to inflation. The shifts have affected residential property market dynamics.

The Johansen cointegration approach was used to estimate the effects of changes in monetary policy proxies on residential property prices using quarterly data from 1980 to 2022.

Mortgage finance and economic growth have a significant positive long-run effect on residential property prices. The consumer price index, the inflation targeting framework, interest rates and exchange rates have a significant negative long-run effect on residential property prices. The Granger causality test has depicted that exchange rate significantly influences residential property prices in the short run, and interest rates, inflation targeting framework, gross domestic product, money supply consumer price index and exchange rate can quickly return to equilibrium when they are in disequilibrium.

There are limited arguments whether the inflation targeting monetary policy framework in South Africa has prevented residential property market boom and bust scenarios. The study has found that the implementation of inflation targeting framework has successfully reduced booms in residential property prices in South Africa.

The Chinese housing market has gone through rapid growth during the past decade, and house price forecasting has evolved to be a significant issue that draws enormous attention from investors, policy makers and researchers. This study investigates neural networks for composite property price index forecasting from ten major Chinese cities for the period of July 2005–April 2021.

The goal is to build simple and accurate neural network models that contribute to pure technical forecasts of composite property prices. To facilitate the analysis, the authors consider different model settings across algorithms, delays, hidden neurons and data spitting ratios.

The authors arrive at a pretty simple neural network with six delays and three hidden neurons, which generates rather stable performance of average relative root mean square errors across the ten cities below 1% for the training, validation and testing phases.

Results here could be utilized on a standalone basis or combined with fundamental forecasts to help form perspectives of composite property price trends and conduct policy analysis.

Green labeling and green scapes are generally associated with environmental practices known as eco-labeling. In the hospitality industry, the concept of green scapes and green labeling has been associated through the attraction of customers toward hospitality organization's brand mark. Green practices make a customer conscious and more tangible for a brand or product. Somewhere, green practices have the instinct to throw as an open-up strategy for futurism growth and to build the brand mark at the next market step of the industry. The determination of green practices of a hospitality organization is performed by the environment working employees (Villemereuil & Gaggiotti, 2015). The organization is advantageous only when the in-house environment is attractive. Green scapes are performed only on the criteria of key certification. The viewpoint of this chapter is to fulfill the criteria of green practices (Warren et al., 2008), attracting brand marks in the hospitality organizations of UT regions. This chapter will investigate the perceptions of industrial employees attracting the brand mark of any hospitality organization in UT states. This chapter will highlight the impact of B2B and B2C businesses connecting to the working environment toward attracting the brand mark of hospitality organizations in the UT states region. This chapter will be paying heed to discuss the enhancing effect of B2B businesses in the UT states market of the tourism and hospitality sector. The sample collected for this chapter using closed ended questionnaire from hospitality organization or hotels in UT destination.

Properties with specific orientations are preferred in South Korea, depending on the real estate market. This preference is usually considered during property transactions and in designing buildings. Despite the importance of property orientation, the magnitude of preference for favored orientation has rarely been empirically estimated in the literature. This study attempts to estimate the value of favored orientation in a quantitative manner and interpret the results.

Using a geographically weighted regression model, this study obtains nationwide property price data and estimates the strength of orientation preference, that is, the premium for favored orientation. Among the various property types, residential sites and forests were investigated because the orientation of these two property types is known to influence their sales prices in the Korean real estate market.

The results show that premiums for south-facing residential sites exist in the market, varying locally and ranging from zero to 13.2%, over residential sites with non-south orientations. The results for forests are mixed in that a south-facing forest commands a maximum of 33.1% premium in a certain region, over a forest with a non-south direction, while it also commands a maximum of 33.8% negative premium (discount) in another region, indicating significant local variations in premiums.

These findings are expected to be utilized in fields such as property valuation, house architecture and design.

This paper aims to empirically investigate the effect of facility–maintenance service quality on tenants’ satisfaction and their subsequent willingness to pay higher rent in the National Capital Region (NCR), India.

The data for this study was collected from 1,692 tenants in NCR, India. SmartPLS4.0 was used to analyze the data using structured equation modeling.

The study findings indicate that all parameters of facility–maintenance service quality (tangibles, service personnel quality and empathy) positively impact tenants’ satisfaction. Further, satisfied tenants are willing to pay higher rentals. In addition, customer satisfaction partially mediates the relationship between facility–maintenance service quality and willingness to pay higher rent.

The study extends evidence-based research in the service industry to provide empirical evidence that facility–maintenance service quality positively impacts customer satisfaction in real estate settings in emerging markets (India). This research will guide future researchers to explore other dimensions to support evidence-based research in real estate settings.

Based on the data collected online after personal interaction in residents’ meetings, the study findings provide significant insights for stakeholders such as policymakers, practitioners, landlords, associations and builders. With rising housing demand because of rural migrations toward urban or metro locations coupled with the government’s inability to expand the infrastructure simultaneously, the government has enhanced the role of public–private partnership (PPP) in housing development. The findings will help policymakers incorporate the service angle into key performance indicators in PPP contracts. Additionally, with rising competition in the housing sector, understanding these factors will help landlords and resident associations improve service quality standards, thus enhancing the residential societies’ word-of-mouth publicity and attracting high-paying residents.

To the best of author’s knowledge, this is a pioneer study to empirically investigate the impact of facility–maintenance service quality standards on tenants’ satisfaction and willingness to pay higher rent in a residential setting in India.

This study aims to investigate dynamic relations among office property price indices of 10 major cities in China for the years 2005–2021.

Using monthly data, the authors adopt vector error correction modeling and the directed acyclic graph for the characterization of contemporaneous causality among the 10 indices.

The PC algorithm identifies the causal pattern, and the linear non-Gaussian acyclic model algorithm further determines the causal path from which we perform innovation accounting analysis. Sophisticated price dynamics are found in price adjustment processes following price shocks, which are generally dominated by the top tier of cities.

This suggests that policies on office property prices, in the long run, might need to be planned with particular attention paid to the top tier of cities.

This paper examines the effects and root causes of client influence within the valuation profession in Kenya.

This study adopted a mixed research design incorporating a survey and experiment of registered and practising valuers in Kenya and interviews of key informants from registered and practising valuers, valuers' clients (commercial banks) and professional bodies.

The study found that client influence negatively impacts the valuation profession, contributing to inaccurate valuation outcomes, and it exists because of the valuation environment, represented by limited and unreliable information in Kenya and many other developing countries.

This study makes a critical contribution to the empirical literature as it introduces new insights into the impacts and causes of client influence by demonstrating how the valuation environment, characterised by poor information, contributes to client influence in Kenya, which is typical of many other developing countries.

Specifically, this study aims to examine residents’ perceptions regarding the following: the sociocultural, environmental and economic impacts generated by the presence of Airbnb and the irritability caused by the presence of Airbnb based on Doxey’s Doxey (1975) irritation index (i.e. index).

Twenty-one semistructured in-depth interviews were conducted between February and March 2021 with residents of three condominiums in the Huancaro residential complex. Data were analyzed using the qualitative data analysis software ATLAS.ti 8.

Results showed that participants perceived negative economic impacts regarding investments, jobs, real estate prices and overall cost of living; negative sociocultural impacts regarding criminality, social conflicts and cultural exchange; and negative environmental impacts regarding sanitation in the context of the pandemic and the state of the Airbnb apartments. Further, it was found that participants related to the following three of the four stages of irritability: euphoria, apathy and annoyance.

It is necessary to complement the information with the perceptions of the residents about the city’s authorities and managers in the hotel business before the stage of the COVID-19 pandemic and the current stage.

The study identifies improve Airbnb operations like establishing health paraments and defining cohabitation rules at the condominiums.

The residents consider that visitors’ returns produce positive and negative impacts on the quality of life being important for understanding their perceptions.

Short-term rental companies, such as Airbnb, generate a range of impacts on urban residents, particularly when travelers encroach on areas of the city beyond the traditional “tourist bubbles.” This study explored the perceptions of Airbnb’s impacts on activities among residents of Huancaro, a residential section of Cusco-Peru, in the context of tourism reopening after a year of an almost complete halt in tourism activities because of the COVID-19 pandemic. The study also highlighted the heterogenetic responses to Airbnb within the community.

Property guardianship is increasingly being viewed as an alternative and, in many cases, a last resort to the unaffordable private rental market. This upsurge in the incidence of guardianship necessarily amplifies the existing legal grey areas and the inherent insecurity and precarity in the sector for guardians. Drawing on interviews with property guardians and archival research, the purpose of this study is to explore the background to the guardianship occupation model; highlight the key problems guardianship generates and, building on this, propose recommendations for reform to the regulatory landscape of guardianship. This study argues that a culture change in property guardianship is needed so that guardians can be better protected, and local authorities empowered to be more proactive in overseeing standards of guardian properties in their areas.

This study draws on qualitative semi-structured interviews with 46 property guardians and archival research.

The author argues that property guardians routinely enter the sector largely as a matter of last resort based on financial considerations or following difficult life experiences. Insecure and precarious, guardianship operates under licence agreements which provide less protection for guardians. Coupled with ambiguity around the application of existing housing legislation to guardianship and research showing non-engagement by local authorities with guardianship, this study suggests regulatory reform is urgently needed.

With traditional residential tenancies in the private rental sector increasingly unaffordable for many and guardianship becoming a viable alternative, this study argues for significant regulatory reform to the guardianship sector to ensure guardians are adequately protected under the law. This study presents a series of proposals to deliver a culture change in the sector.

In the context of an absence of studies examining the interrelationship between Indian construction industry and residential real estate sector, the study aims to develop and test a conceptual framework to stimulate construction industry through optimisation of housing market in India. The developed conceptual framework lays down a blueprint to assess the interaction between construction industry and housing market in other countries.

Means of stimulation of construction industry by residential real estate sector were identified. Housing market was examined to identify factors constituting consumer-centric delivery and consumer-empowered demand. Supply side of housing market was probed to identify underlying factors stifling housing delivery. The identified factors were put together to form the conceptual framework. A questionnaire was developed and administered to the delivery-side stakeholders of housing market.

The study demonstrates significant correlations between real estate investment-led construction industry output stimulation and consumer-centric residential real estate delivery. The deterrents to consumer-centric housing delivery have been ascertained to be having an impact on time, cost and scope of housing projects. Significant correlations have been ascertained between the deterrents. On the demand-side, skills, awareness and engagement of consumers are strongly correlated with each other. Affordability of housing is rightfully correlated with all the three means of stimulation of construction industry output.

Specific to the Indian context, the study presents and validates a novel conceptual framework aimed at stimulation of construction industry output through interventions in housing market.