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The purpose of this study was to assess real estate cycles and their impact on property values in Gaborone, Botswana. Investors and real estate professionals in Botswana rarely assess property cycles when purchasing property. This study therefore, aims to assess whether real estate cycles do exist, their duration and the type of real estate cycle that Botswana experiences.

Data was collected from primary and secondary sources. This included sourcing out information at the Deeds Registry Office in Gaborone on residential property sales and a questionnaire to 100 property investors. A record was made of properties that were sold for the period of 16 years starting from the year 2000 to 2016. Secondary data on the other hand was also collected from published and unpublished books, academic journals, professional journals, magazines, reports and monographs. A quantitative approach was used in this study. Data was analysed using Microsoft Excel and subsequently presented in form of tables and graphs.

The findings from the literature review revealed that there are four phases in the real estate cycles (recovery, expansion, oversupply and recession) and each has distinct features that an investor must be aware of to avoid consequences in the property market. The results from the data analysis revealed that real estate cycles do exist in Botswana as identified during the past 16 years. The cycle that Botswana experiences is called the kitchen cycle. It was also evident that Botswana experienced three cycles lasting five to six years each. Furthermore, it was discovered that all phases in the real estate cycles affect property values.

There is relatively little information about property cycles and their timing in Botswana. Therefore, this study may assist valuation surveyors to make promptly informed decisions on property investment through cycle assessment and hence positively inform the public and financial stakeholders. Society might find this beneficial in as far as decision-making is concerned when thinking of investing in real estate. The current system at the deeds office is cumbersome and time consuming, thus making it difficult for the researchers and possibly the public to analyse the property market. This study therefore, may encourage the Deeds Registry Office to computerize their records.

There is relatively little information about property cycles and their timing in Botswana. Therefore, this study may assist valuation surveyors to make promptly informed decisions on property investment through cycle assessment and hence positively inform the public and financial stakeholders.

Society might find this beneficial in as far as decision-making is concerned when thinking of investing in real estate.

To the best of the authors’ knowledge, this paper is the first of its kind in Botswana to extend the knowledge of real estate cycles and their impact on property cycles in Botswana.

The purpose of this paper is to provide a dating system for the Italian residential real estate market from 1927 to 2019 and investigate its interaction with credit and business cycles.

To detect the local turning point of the Italian residential real estate market, the authors apply the honeycomb cycle developed by Janssen et al. (1994) based on the joint analysis of house prices and the number of transactions. To this end, the authors use a unique historical reconstruction of house price levels by Baffigi and Piselli (2019) in addition to data on transactions.

This study confirms the validity of the honeycomb model for the last four decades of the Italian housing market. In addition, the results show that the severe downsizing of the housing market is largely associated with business and credit contraction, certainly contributing to exacerbating the severity of the recession. Finally, preliminary evidence suggests that whenever a price bubble occurs, it is coincident with the start of phase 2 of the honeycomb cycle.

To the best of the authors’ knowledge, this is the first time that the honeycomb approach has been tested over such a long historical period and compared to the cyclic features of financial and real aggregates. In addition, even if the honeycomb cycle is not a model for detecting booms and busts in the housing market, the preliminary evidence might suggest a role for volume/transactions in detecting housing market bubbles.

The purpose of this study is designed to achieve the learning process in producing studies involving economic issues and scenarios in business management in Malaysia. In addition, this study will provide exposure to the integration of managerial skills by using both microeconomics and macroeconomics concepts and theories to aid decision-making in a business environment.

The research method comprised qualitative methodology of literature review, case study and quantitative methodology of multiple linear regression (MLR). In this case, seven microeconomics and macroeconomics factors which are believed to significantly affect house price index (HPI) are taken into consideration which includes gross domestic product, consumer price index (CPI), government tax and subsidy on housing, overnight policy rate, unemployment rate (UNEMP), the median income (INC) and cost of production index.

This research has resulted in three significant factors affecting HPI from MLR, which include CPI, UNEMP and INC where the increase of these factors will cause a high increment of HPI. The other four factors are not significant.

Malaysia has been facing the stagnancy in house market these recent years due to issues such as massive oversupply, impacting Malaysia’s economy specifically focusing on domestic direct investment. To avoid oversupply issues, the vitality of future house demand and pricing forecast should be comprehended by involved bodies for more effective planning for the house development industry. To make a better and bigger impact, this research is intended to analyse the microeconomic and macroeconomic factors affecting the HPI to better understand the significance of each of these factors to the changes of HPI to resolve these economic issues.

Starting with the notion that each building has an overall life cycle, the paper uses building-based and investment-based life cycles to identify likely decision points for renovations, including sustainability enhancements, and identifies patterns in sustainability decisions.

This real estate insights paper considers how commercial real estate and the built environment it creates, owns and manages impacts the sustainability of urban areas and the globe. By combining building-based and investment-based life cycles, it is possible to develop a unique “sustainability enhancement quotient” for individual buildings and the built environment for an urban area over a given time interval.

Using two life cycles allows the identification and likelihood of sustainability decision points. The same life cycles and decision points are used to consider the likely extent of such renovations. This is in addition to continuous consideration of renovations producing economic benefits in the form of lower operating costs and quick return of capital.

Useful for investment decision-making and policy design and implementation.

This is a useful tool for public and private decision making. It is suggested that the sustainability enhancement quotient may be used to design and implement policies and decisions maximising the likelihood of sustainability enhancement in an urban area's built environment.

Provides a framework for more effective sustainability decisions and public policy. The public-private interplay inherent in every building is emphasised throughout.

Original combination of existing tools.

Recent studies have indicated that digital transformation can benefit an organization’s strategic renewal. However, there is little knowledge on how business executives engage in digital transformation for this purpose, especially in the service sectors of emerging markets. Therefore, this study aims to examine how business managers accomplish strategic renewal through digital transformation in emerging markets.

The authors conducted a longitudinal single case study of a leading business firm in China’s real estate industry, China Overseas Land & Investment Ltd. (COLI). Results of the analysis of semistructured interviews and rich secondary data allowed us to better understand how business managers react to changing customer demands by building and implementing divergent digital tools to fulfill strategic renewal.

The results showed that business executives of COLI developed the Whole Life Cycle Management System, to achieve strategic renewal. The system benefits resource allocation and potential adjustments to strategic goals. This study also helps update the organizational structure of the marketing and consumer services departments, helping better satisfy consumers’ demands and waste fewer resources. Thus, COLI accomplished structural, contextual and leadership-based ambidexterity.

This study provides a fresh understanding of the link between digitalization and strategic renewal by providing a fine-grained analysis of leading service providers in emerging markets. To the best of the authors’ knowledge, this study is among the first to investigate the role of digital transformation in strategic renewal from an ambidexterity perspective.

The article aims to analyze the behavior of commercial real estate prices in Europe, with a focus on the post-coronavirus disease 2019 (COVID-19) pandemic period. The authors use national and city-level data for the various commercial real estate sectors in ten countries, as well as listed real estate data, to assess any differences across property type and space.

The authors analyze the behavior of commercial real estate prices after the COVID-19 pandemic, emphasizing differences across property types. For that purpose, the authors use national and city-level direct real estate data for the ten largest countries in terms of market capitalization, as well as listed real estate data. The article then turns to discussing the likely trajectory of commercial real estate prices in the future.

The recent rise in interest rates and geopolitical instability have affected prices differently across sectors. Industrial properties benefited from the pandemic, although prices declined significantly in 2022. Residential properties continued their upward price trend and have been the best-performing property type during the last two decades. Retail real estate continued its downward price trajectory. Thus far, office markets do not appear to be significantly affected by structural changes in the sector. The data for listed real estate markets in Europe suggest that markets bottomed out in early 2023.

This paper provides for a better understanding of the behavior of commercial real estate prices in Europe since the COVID-19 pandemic. The authors assess whether the effects found during the COVID-19 crisis were temporary or long-lasting. Also, many economic and political uncertainties have emerged since the beginning of the Ukraine war in February 2022, and it is important to analyze the effects of such uncertainties on commercial real estate prices.

The monetary policy is an important driver of the real estate sector’s performance. The recent wave of monetary tightening in 2022 in response to the cost-of-living crisis has been associated with the decline in housing prices across the globe. There are two main channels through which the US monetary policy may affect the real estate market in the dollar-pegged countries: the cost of serving mortgages (financing cost) and the exchange rate channel (for example, the appreciation of the US dollar and consequently the local currency). The exchange rate channel, which involves the appreciation of the US dollar and the subsequent effect on the local currency, is particularly significant in the case of Dubai, given how international the housing market in Dubai and might be viewed as a tradable good. Using recent data, the purpose of this study to evaluate the spillover impact of the US monetary policy on the housing market performance in the dollar-pegged countries using Dubai as a case study.

For this purpose, this study collected unique longitudinal data on the volume of the monthly transactions of residential properties and performs a panel-data analysis using within-variation models. The changes in the interest rate policy in the USA are determined by the domestic inflation in the USA, thereby, representing an exogenous shock in the UAE.

The results are robust to different specifications and suggest that a strong negative correlation between the interest rate in the USA and the housing sector demand in Dubai. Fiscal policy measures can be taken to mitigate tighter financial conditions in case of policy misalignment.

Few studies have looked at the spillover impact of the global monetary conditions on the real estate market in the GCC region. This study fills this gap by exploring the impact of the US financial conditions on Dubai’s real estate, using panel data analysis.

This study attempts to find the response of the real estate market to economic changes by identifying cause-effect relationships between mortgage, residential investment, and Saudi employment.

A quantitative approach to analytically examine the relationship among the variables. To find out the impact of investment, mortgage and Saudi employment on the Saudi real estate growth from 1970 to 2019. All data sets were obtained from the General Authority for Statistics (GAST), Saudi Central Bank (SAMA) and World Bank Group.

This study reveals a positive relationship between the mortgage and GDP in the Saudi Arabian real estate market. The same results for employment and investment; both have a positive effect on the GDP of the real estate market.

Analyzing the impact of real estate financing on various industries and the extent to which it is related to employment and unemployment rates is essential for future research. Moreover, this research can be applied to different countries and compared based on similarities and differences in implementing mortgage-related policies.

The government must encourage investment in various ways and establish a stable structure that ensures market stability and finds a balance between supply and demand.

This study reflects the importance of real estate financing not only to individuals and governments but also to investors and business workers, and it is essential to analyze the impact of real estate financing on various industries, as well as the extent to which it is related to employment and unemployment rates. This research can be applied to different countries and compared based on similarities and differences in the implementation of mortgage-related policies.

This study contributes to testing this study’s hypothesis: that mortgage positively impacts the real estate market of Saudi Arabia.

The real estate markets may be significantly influenced by the uncertainty in global economic policy. This paper aims to evaluate the time-varying connectedness between global economic policy uncertainty and regional real estate markets to understand how regional real estate markets and uncertainty in global economic policy are related throughout time.

The current study includes the monthly data from April 2007 to August 2022 of major regions (i.e. Asia Pacific, Europe, Africa, North America and Latin America). Moreover, the authors use the time-varying parameter vector auto-regression (TVP-VAR) approach for the analysis.

The finding revealed a significant level of connectedness among global economic policy uncertainty and selected regional real estate markets. The result highlights more than 80% connectivity between the two variables, which makes the current study valuable. Furthermore, results determine Africa and North America are the shock transmitters; thus, they are considered safe-haven for investors to invest in these markets.

The main novelty is that this research highlights the time-varying connectedness between global economic policy uncertainty and five regional real estate markets (Africa, Asian Pacific, Europe, Latin America and North America) using TVP-VAR. Furthermore, the authors used the standard and poor daily real estate investment trust (REIT) indices for the selected REIT markets. Finally, this research suggests practical implications for real estate investors, property developers, stakeholders, policymakers and managers to revise their current policies to maintain the real estate market stability during economic and political uncertainty or in other uncertain situations.

The paper sets out a conceptualisation of the housing cycle centring on households' desire to upgrade their housing consumption.

The paper begins by studying house price trends and cycles in OECD countries since 2000 to identify housing cycle patterns. It then assesses existing theories partly in relation to these patterns. It then proposes a new conceptualisation of the housing cycle.

The paper finds the central role of supply lags in housing cycles is not warranted. Instead, a demand cycle generated by upgrading desires better explains an initial boom followed by a slow recovery.

The paper challenges existing orthodoxy on housing cycle dynamics and proposes an alternative perspective.