Real Estate Investment Decisions Research Articles

A new metric for assessing the “S” dimension in environment, social, governance (ESG) for real estate

PurposeESG (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/approachA 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.FindingsThis 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 implicationsWith 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/valueThis 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.

What are tenants demanding the most? A machine learning approach for the prediction of time on market

PurposeThis is the first article to apply a machine learning approach to the analysis of time on market on real estate markets.Design/methodology/approachThe random survival forest approach is introduced to the real estate market. The most important predictors of time on market are revealed and it is analyzed how the survival probability of residential rental apartments responds to these major characteristics.FindingsResults show that price, living area, construction year, year of listing and the distances to the next hairdresser, bakery and city center have the greatest impact on the marketing time of residential apartments. The time on market for an apartment in Munich is lowest at a price of 750 € per month, an area of 60 m2, built in 1985 and is in a range of 200–400 meters from the important amenities.Practical implicationsThe findings might be interesting for private and institutional investors to derive real estate investment decisions and implications for portfolio management strategies and ultimately to minimize cash-flow failure.Originality/valueAlthough machine learning algorithms have been applied frequently on the real estate market for the analysis of prices, its application for examining time on market is completely novel. This is the first paper to apply a machine learning approach to survival analysis on the real estate market.

Triskaidekaphobia: The Role of the Dreaded 13th Floor in Shaping Investment Preferences in the Indian Residential Real Estate Market

This study investigates the influence of triskaidekaphobia, the fear of the number 13, on investment preferences in the Indian residential real estate market, specifically examining attitudes towards properties on the 13th floor in high-rise buildings. Originating in Western cultures, triskaidekaphobia has transcended cultural boundaries, influencing the Indian market, which is traditionally shaped by a blend of cultural, religious, and socio-economic factors, including beliefs like Vastu Shastra. Using a quantitative research methodology, the study surveyed 500 participants from various demographic backgrounds across India. The findings reveal a significant awareness of triskaidekaphobia among the respondents, with a majority strongly believing in this superstition. This belief translates into a considerable reluctance to invest in properties on the 13th floor, with many respondents and potential developers expressing a preference to exclude or rename this floor. Statistical analyses, including correlation and regression, indicate a negative relationship between belief in triskaidekaphobia and willingness to invest in the 13th floor. These findings suggest that triskaidekaphobia significantly influences real estate investment decisions in India, reflecting the deep-rooted impact of cultural beliefs on economic behaviors. The study contributes to the understanding of cultural influences in the real estate market and offers insights for real estate developers, urban planners, and policymakers. It highlights the importance of cultural sensitivity in business strategies and the need to consider local beliefs and superstitions in market analyses. The research suggests that addressing the irrational basis of triskaidekaphobia through investor education could open new market opportunities and promote more rational investment choices.

The Impact of Inflation on Real Estate Investment Perfomance And Effective Investment Decisions

Purpose: This study aims to examine the impact of inflation on key variables of real estate investment performance and investment decisions. Theoretical Reference: This paper considers several models of real estate investment performance indicators because the effect of inflation on key variables of real estate investment performance is an important factor in investment decisions. Since effective investment decision is key to avert investment loss especially during inflation period, this paper follows the suggestions by Otegbulu (2022) and Georgiv, et al (2002) that property incomes and values are not static during periods of inflation bur responds to economic dynamics, and could infact trigger favourable investment opportunities in real estate. This paper therefore follows these models/suggestions of Otegbulu (2022) and Geoargiv, et al, (2002) to examine several real estate investment to offer appropriate reflection of how inflation impacts of incomes from real estate investment. Method: Data collected were analysed using Pearson Correlation Analysis to determine the relationship between inflation rate and real estate investment performance (measured by annual returns). Regression analysis was also employed on the data to determine the level of contribution or degree of impact of inflation on real estate performance. Also data collected on the exchange rate and real estate performance over the study period were analysed using Pearson Correlation Analysis to determine the relationship between exchange rate and real estate investment performance (measured by annual returns on investment). Regression analysis was also employed on the data to determine the degree of impact of exchange rate on real estate investment performance. Data collected for the analysis and hypotheses testing were secondary data over a period from 2005 – 2022. Result: The study reveals that real estate investment market generates average total annual returns of 21.39% under average inflation rate of 12.5%. The test statistics (Pearson Correlation) results shows that the higher the inflation rate, the lower the performance of the real estate investment. Also, the study reveals that as inflation persists causing exchange rate fluctuations, the test statistics (Pearson Correlation) results shows that higher exchange rate causes lower performance of real estate investment. This could be because more than 90% of the real estate construction materials in the study are imported. Conclusion: It is clear and obvious that inflation impacts highly on real estate and capable of distorting projections in property investment. Rational investors must therefore factor in inflation risk in investment decisions. The study has shown that inflation has significant impact on annual returns of real estate and consequently affects investment performance. The study concluded that the higher the inflation, the lower the performance of the real estate investment and that the continuous rise in inflation rate reduces the purchasing power of the local currency leading to local currency devaluation. Also, it was concluded that higher exchange rate causes lower performance of the real estate in terms of annual returns. Research Implications: One of the major implications of the findings from this study is that as inflation raises the volatility of local currency which adversely affect the cost of construction, real estate investment performance is hindered. The risk element increases which could lead to project cost over-run, abandonment or increased vacancy rate. Investors become skeptical in making investment decisions because of uncertainties. Policy makers should put in place policies and guidelines that will attract cross-border investors who can take advantage of the local currency devaluation to improve their real estate investment portfolios. Originality/Value: The relationship between inflation rate, exchange rate and real estate performance (measured by rate of returns on the investment) is of great concern for real estate practitioners and investors. The study is original well thought efforts of the authors as contribution to real estate practice and education in developing economies currently being threatened by rising inflation. It is believed that this study will be very useful to global investors who will like to invest in the study area in particular and other emerging markets in general.

Building upcycling or building reconstruction? The ‘Global Benefit’ perspective to support investment decisions for sustainable cities

Investment decisions on demolition and reconstruction vs. refurbishment of the existing building stock can extend beyond financial and economic criteria. However, they must involve energy savings, environmental preservation, material consumption, and waste management for sustainable cities. The regulatory framework used in the past decades and the correlated research seem more unbalanced toward the containment of building energy consumption than toward embodied energy (EE) management in production processes and environmental impact management. Foreshadowing the perspective of a more restrictive regulatory framework on EE, such as prohibiting the displacement of materials with residual energy potential, such as waste in landfills, some challenging frontier issues are involved when facing the limits of the economic evaluation methodologies for transformation projects. Thus, this study aimed to propose a reasoning and an operative modality to support urban governance policies and investment decisions involving private and public subjects in the construction sector. Circular economy and life cycle thinking principles, through life cycle costing (LCC) and life cycle assessment (LCA), are assumed and harmonized with the discounted cash-flow analysis (DCFA): (1) monetizing and modeling into the DCFA the EE and the embodied carbon (EC); (2) internalizing the Global Cost and the new ‘Global Benefit’ into the net present value (NPV) calculation; and (3) focusing on the residual end-of-life value calculation from the early design and investment decision stages. The reasoning can be extended to single buildings, the urban scale, or even entire portions of existing buildings in urban areas concerning typological sub-segments. The operative modality is yet to be explored in a concrete application for orienting urban governance policies and sustainable public–private partnerships, including environmental and, thus, social externalities even in the private real estate investment decision process, in the scope of evolving regulations.

Antecedents of Real Estate Investment Intention among Filipino Millennials and Gen Z: An Extended Theory of Planned Behavior

The Philippines’ real estate (RE) market vis à vis its government’s collective efforts to accelerate its digital transformation faces prevalent illegal RE practices online on top of limited publicly accessible data for decision-making and decentralized and highly regional RE markets. As the middle-income millennials’ and Gen Zs’ purchasing power rises, these increasingly important consumer groups might fall prey to online RE colorums or make bad RE investment decisions. In anticipation of big data, ML, and AI becoming integral to the Philippine RE industry, this study extends the theory of the planned behavior model to account for RE investment and illegal practice and to build a theoretical basis for foundational models. A total of 400 Filipinos aged 15 to 42 from different regions in the country responded to a self-administered online survey questionnaire. The model was assessed using partial least squares structural equation modeling (PLS-SEM) and was proven to be sufficient to explain the proposed model. Results from the partial least squares structural equation modeling (PLS-SEM) revealed that during inflation, risk tolerance (RT), perceived property value (PPV), and aversion from illegal practice (IP) significantly influence millennials’ and Gen Zs’ intention to invest in the RE market, implying that they would consider prioritizing profitability at the expense of sustainability. Thus, a collective commitment to provide transparent and real-time data on RE KPIs and projects is necessary for safer and optimized operations while ensuring the sustainability of current and future projects.

Influence of augmented reality and virtual reality on real estate investment decisions: understand consumer perspective in Indian AEC industry

PurposeAugmented Reality (AR) and Virtual Reality (VR) technologies possess the potential to transform the scenario of making real estate investment decisions through the immersive experience they offer. From the literature it was observed that the research in this domain is still emergent and there is a need to identify the latent variables that influence real estate investment decisions. Therefore, by examining the effects of these technologies on investment decision-making, the purpose of the study is to provide valuable insights into how AR and VR could be applied to enhance customers' property buying experiences and assist in their decision-making process.Design/methodology/approachFrom an extensive review of the literature four latent variables and their measure were identified, and based on these a survey instrument was developed. The survey was distributed online and received 300 responses from the respondents including home buyers, developers, AEC professionals and real estate agents. To validate the latent variables exploratory factor analysis was used whereas to establish their criticality second-order confirmatory factor analysis was used.FindingsFrom the results, the four latent constructs were identified based on standard factor loadings (SFL) that is Confident Value Perception (CVP, SFL = 0.70), Innovative Investment Appeal (IIA, SFL = 0.60), Trusted Property Transactions (TPT, SFL = 0.58) and Effortless Property Engagement (EPE, SFL = 0.54), that significantly influence investor decision-making and property purchase experience.Originality/valueThis study contributes to the literature on real estate investment decisions by providing empirical evidence on the role of AR and VR technologies. The identified key variables provided practical guidelines for developers, investors and policymakers in understanding and leveraging the potential of AR and VR technologies in the real estate industry.

Gender Disparity in Real Estate Investment: A Case Study of the Staff of the Federal University of Technology Akure, Nigeria

Women have unparalleled strength and an unwavering passion for success and accomplishment. This is evident in the involvement and contributions of women in many professions, including academia. Nevertheless, women participation in real estate investment has been considerable despite the importance and benefits of real estate investment. In view of this, this paper examined gender disparity in real estate investment among the staff of the Federal University of Technology, Akure (FUTA), Ondo State, Nigeria with a view to encouraging more women participation in real estate investment. FUTA staff (junior and senior cadres) were the target populations while structured questionnaires were randomly administered on the staff. Cross tabulation, correlation analysis, and Mann Whitney U Test were used to analyze the data collected. The study revealed that the percentage of males in active service in FUTA is about twice that of females and men significantly outperform women in real estate investment in FUTA. The study also showed a statistically significant relationship between gender and real estate investment at p value ≤0.05 thus identifying gender as a factor influencing real estate investment while there are also significant differences in the opinions of the males and female staff regarding real estate investment decision. The study concluded that gender has a significant impact on real estate investment and therefore recommended the sensitization of staff on the importance of real estate investment, provision of loans, mortgages as well as salary reviews without any form of discrimination so as to encourage real estate investment and allow for adequate retirement plans.

The impact of the COVID-19 crisis on global real estate capital flows

PurposeCOVID-19 has had a significant global impact at many levels, including an impact on global real estate capital flows. This paper examines the impact of COVID-19 on global real estate capital flows over 2019–2022 to clearly articulate the extent of this impact on global real estate capital flows across regions, countries, major cities, real estate sub-sectors and by major real estate investors. Drivers of these global real estate capital flow changes are also identified. The strategic real estate investment implications of this impact are highlighted, as well as the implications going forward concerning the global real estate strategies for the real estate portfolios held by institutional investors.Design/methodology/approachTo assess the impact of COVID-19, the Real Capital Analytics (RCA) database of global real estate transactions over 2019–2022 is used to drill-out critical details on commercial real estate transactions to explore specific trends in global real estate capital flows in this period of the COVID-19 crisis. This includes real estate capital flows to specific regions, countries, cities, real estate sub-sectors as well as the role of major real estate investors.FindingsThe impact of COVID-19 is clearly shown with the major decline in global real estate capital flows in 2020, with a strong recovery in 2021. Reduced levels of real estate capital flows in 2022 reflect different risk dynamics, where 2022 has seen investors move on from the COVID-19 environment. In 2022, the risk of COVID-19 for real estate has been replaced by global real estate risk factors such as inflation concerns, geopolitical tensions, economic growth concerns, increased cost of debt issues and supply chain issues. This sees COVID-19 now rated as only the 6th most important risk factor in real estate investment decision-making for real estate investors in the Americas, Europe, Middle East and Africa (EMEA) and Asia–Pacific.Practical implicationsThis research has clearly shown the extent of the impact of COVID-19 on global real estate capital flows, as well as identifying the drivers of these real estate capital flow changes. It highlights that real estate investors have moved on and are now prioritising new risk factors ahead of COVID-19 risk. These critical risk factors reflect more recent financial, economic and geopolitical issues, which are key issues in real estate investment decision-making going forward. Investors need to structure these new risk factors into their real estate investment decision-making for the ongoing management of their domestic and international real estate portfolios.Originality/valueThis paper is the first published empirical research analysis of global real estate capital flows during the COVID-19 crisis. This research provides major insights on real estate investment decision-making during this crisis and the strategic changes seen in acquiring real estate portfolios in response to this major global crisis. The change in real estate risk priorities in 2022 as real estate investors move on from the COVID-19 environment is also identified and is clearly reflected in the 2022 global real estate capital flows.

Does hedonism influence real estate investment decisions? The moderating role of financial self-efficacy

Does hedonism influence real estate investment decisions? The moderating role of financial self-efficacy

Editorial: Real estate investment and corporate decisions

Editorial: Real estate investment and corporate decisions

Real estate investment decisions in underrepresented Southeast Asian countries: evidence from Cambodia, Myanmar, and Vietnam

PurposeAlthough real estate investment decisions are among the most important managerial decisions, such decisions are usually made in an ad hoc fashion in Southeast Asia. The purpose of this study is to present a two-tier multi-criteria decision-making model for real estate investment decisions across three rapidly growing but significantly understudied Southeast Asian countries: Cambodia, Myanmar and Vietnam.Design/methodology/approachUsing three data sources (secondary data, two surveys and nearly 100 experts and senior executives), the authors applied a combination of the Analytic Hierarchy Process and the Simple Additive Weighting (or weighted sum) methods as two special cases of multi-criteria decision-making to assess nine real estate investment projects across Cambodia, Myanmar and Vietnam.FindingsThe results of this study indicated that Vietnam, Cambodia and Myanmar were the first, second and third most preferred countries for real estate investments, respectively. Moreover, the results clearly show a trade-off between perceived country risk and financial returns, indicating that a higher perceived country risk can be compensated for with higher financial returns.Originality/valueReal estate investment decisions are usually made in an ad hoc manner in Southeast Asia. This study helps investors make more informed decisions when investing in real estate projects across three rapidly growing but significantly understudied Southeast Asian countries: Cambodia, Myanmar and Vietnam.

Evaluation of Factors Driving Real Estate Investment Decisions by Private Investors in South – East Nigeria

This research focused on evaluating the factors driving real estate investment decisions among private investors in South – East Nigeria with a view to appraising real estate investment pattern in the study area. The study was conducted in South-East Nigeria specifically; Anambra, Enugu and Imo State. Data were collected from 331 registered Estate Surveyors and Valuers, 131 members of Real Estate Development Association of Nigeria (REDAN) and 133 private real estate investors in selected states. Structured questionnaire was used to collect data from the respondents. The data collected was analysed using Percentage, Mean Score, and Kruskal Wallis test with the aid of Statistical Package for Social Sciences (SPSS, version 25). Respondents were required to scale the impact factors base on five points likert scale. The results revealed that economic factors (interest rate, inflation rate, population growth and high cost of building materials) have significant effects on real estate investment decisions and government policies (Land Use Act), shortage of finance, and high cost of building materials are found to be most significant constraints to real estate investment decisions. The study concludes that interest rate, inflation rate, population growth and high cost of building materials influence real estate investment decisions. The study recommends among others the need for potential real estate investors to consider the factors that drive real estate investment decision before investing in real estate.

Real estate investment decisions in COVID-19 crisis: the effect of perception and behavioral biases

PurposeThis study aims to examine the interconnectedness between investors' perceptions of assets and their behavioral factors with investment decisions during the COVID-19 pandemic in the real estate business in Pakistan. In this regard, this study predicted investment decisions using individuals’ perceptions of the asset (perceived asset quality, perceived asset price and perceived asset value [PAV]),and behavioral biases (overconfidence [OC], herding [HD], disposition effect [DE] and risk aversion [RA]).Design/methodology/approachThis study used a survey-based instrument to gather a total of 189 usable samples. The sample data were analyzed using partial least square structural equation modeling.FindingsThe findings of this study indicated that PAV, OC and HD significantly predicted the investment decision, whereas DE and RA had an insignificant impact on investment decisions in the real estate business. In addition, this study found that PAV is the most important factor to predict investment decisions in real estate during the COVID-19 crisis.Originality/valueThe authors are certain that the study findings reinforce policy implications for regulators, policymakers and financial institutions. The study findings are also useful and relevant if the real estate sector experiences a crisis in the future.

Investment Factors and Decision Behavior Affecting to Real Estate Investment Decision

This study examines industry's significance to a nation's economic development and to the expansion of its many stakeholders cannot be overstated. Out of all the sector's stakeholders, the investor is the one who takes on the most risk. When it comes to an investor's propensity to invest in the actual market, certain elements have the biggest impact on their motivation and behaviour, while others have the least. Real estate returns vary depending on the area. This is supporting the expanding field of Real Estate research. The behavioural factor like over confidence, education, and religion was examined, and it was discovered that religious factors impact Indian investors' decisions to invest in real estate. This is advancing the field of research in the real estate industry. The goal of this investigation is to discover the tactics exploited by Indian developers to optimize monetary benefit from multiple real estate investments. A critical element to take into account when making investments in Indian property investment is the financial side. The way of decision for investment are dependent on various variable that differ from case to case, nature of the area, financial capability of investor, risk and policies, which make the behaviour of real estate dynamic through uncertainty and volatility. This makes the decision making for all the investors in real estate difficult. Various investment models present in real estate investment decision making are identified and compared in terms of variable associated, cater to level of risk, assumption, type of decision, metrics and investment types. This research International Journal of Scientific Research in Engineering and Management (IJSREM) Volume: 07 Issue: 03 | March - 2023 Impact Factor: 7.185 ISSN: 2582-3930 © 2023, IJSREM | www.ijsrem.com DOI: 10.55041/IJSREM18222 | Page 2 will serve as a guide to investors, developers and builders. It will provide a prior knowledge to take a decision on investment in commercial properties of offices and retail. Keywords: Financial Study, Real Estate, Investor’s Decision, Real Estate Investment, Real Estate Investment Factor, Real Estate Sector.

Real Estate Insights The increasing importance of the “S” dimension in ESG

PurposeEnvironment, social and governance (ESG) has taken on increased importance in recent years. This paper assesses the increasing importance of the social (“S”) dimension of ESG in the real estate space and the strategies being used by the leading real estate players to deliver this important aspect of ESG. This includes gender equality, cultural diversity, staff wellness, supply chain management and community engagement. It also indicates the need for an increased level of metrics in the S space for the effective delivery and external validation of the S dimension into real estate investment decision-making.Design/methodology/approachThis research is based on a thorough understanding of the ESG environment in the real estate industry by the author. Best practice examples regarding the S dimension are given from the ESG/sustainability reports from real estate players in Australia who are leaders in the ESG space.FindingsExcellent examples of the delivery of the S dimension are reported from the ESG/sustainability reports from the real estate industry. Whilst there is an increasing range of S information being reported in the real estate industry, there is a need for more metrics to effectively report this S information to indicate its key role in seeing the S dimension being delivered for the fuller integration of ESG at all levels of the real estate industry. The external validation of this S information will also take on increased importance going forward.Practical implicationsWith ESG becoming a critical issue in the real estate sector, issues involved in the S space will take on increased significance. This is critical, as the elements of the S dimension such as gender equality, cultural diversity, staff wellness, community engagement and supply chain management are important aspects for an effectively functioning real estate industry. More metrics in the S space will be an important development to further expand the delivery and external validation of the S space of ESG.Originality/valueThis paper is the first paper to specifically address the need for more focus on delivering the S dimension of ESG in the real estate industry, highlighted by best practice examples from the real estate industry in Australia. This is a key issue for the real estate industry going forward at all levels to facilitate more effective real estate investment decision-making.

Improving the benchmarking of ESG in real estate investment

Purpose Environment, social, governance (ESG) has taken on increased importance in real estate investment in recent years, with benchmarking ESG being critically important for more informed real estate investment decision-making. Using 60 stakeholder interviews with senior real estate executives, this paper examines the strategic issues regarding benchmarking ESG in real estate investment; specifically, identifying areas going forward where ESG benchmarks need to be improved. This includes the issues of granularity, climate resilience and climate risk, as well as an increased focus on outcomes and performance, and using best practice procedures in delivering ESG in real estate investment.Design/methodology/approachIn total, 60 stakeholder interviews were conducted with key real estate players globally to assess the use of ESG benchmarking in real estate investment at various levels (asset/fund-level, listed real estate, delivery, reporting and internal benchmarking), across regions and across different types of real estate investment players (real estate fund manager, real estate investment trust (REIT), institutional investor and real estate advisor). This enabled key strategic insights to be identified for improved ESG benchmarking practices in real estate investment going forward.FindingsThere was clear evidence of the need for improved benchmarks for ESG in real estate investment. More focus was needed on performance, outcomes and impacts, with a stronger focus on granularity around the issues of climate resilience and climate risk. Improvements in Global Real Estate Sustainability Benchmark (GRESB), as well as increased attention to Task Force for Climate-Related Financial Disclosures (TCFD) were seen as important initiatives. Clear differences were also seen in the use of these ESG benchmarks on a regional basis; with Australia and Europe seen as the world leaders. These strategic stakeholder insights regarding ESG saw the development of best practice guidelines for the more effective delivery of ESG benchmarks for more informed real estate investment decision-making, as well as a series of recommendations for improving ESG benchmarking in real estate investment.Practical implicationsESG benchmarking is a critical area of real estate investment decision-making today. By utilising stakeholder interviews, the strategic insights from key players in the real estate investment space are identified. In particular, this paper identifies how the current ESG benchmarks used in real estate investment need to be improved for a more critical assessment of climate resilience and climate risk issues at a more granular level. This enables the identification and delivery of more effective ESG best practice procedures and recommendations for improving ESG benchmarking in real estate investment going forward. These issues have clear impacts on ongoing capital raisings by investors, where benchmarking ESG is an increasingly important factor for real estate investors, tenants and real estate asset managers.Originality/valueBased on the stakeholder interview responses, this paper has identified key areas for improvement in the current benchmarks for ESG in real estate investment. It is anticipated that an increased focus on technology and the availability of more granular data, coupled with user demand, will see more focus on assessing performance, outcomes and impacts at a real estate asset-specific level and produce a fuller range of ESG metrics, more focused on climate resilience and climate risk. This will see a more effective range of ESG benchmarks for more informed real estate investment decision-making.

The performance of non-listed opportunity real estate funds in China

PurposeOpportunity real estate funds are an important style of real estate investing for institutional investors seeking nonlisted real estate exposure. Importantly, institutional investors have sought exposure to the China real estate market, often via opportunity real estate funds. This has been by a pure China opportunity real estate fund (100% China opportunity real estate) or by a pan-Asia opportunity real estate fund where China opportunity real estate was part of this pan-Asia opportunity real estate portfolio. Using two bespoke China opportunity real estate indices developed by the authors, this paper aims to assess the risk-adjusted performance and portfolio diversification benefits of China opportunity real estate in a mixed-asset portfolio over 2008–2020. It also highlights critical issues for institutional investors going forward to factor into their real estate investment decision-making for effective China real estate exposure.Design/methodology/approachThis paper develops two bespoke China opportunity real estate fund performance indices to assess the risk-adjusted performance and portfolio diversification benefits of China opportunity real estate funds in a mixed-asset portfolio over 2008–2020. An asset allocation diagram is used to assess the role of China opportunity real estate in a mixed-asset portfolio via both the non-listed and listed real estate investment channels.FindingsOver 2008–2020, China opportunity real estate exposure via pan-Asia opportunity real estate funds were seen to outperform pure China opportunity real estate funds. In both formats, China opportunity real estate funds were seen to have a significant role in a China mixed-asset portfolio across most of the portfolio risk spectrum; particularly compared to listed real estate exposure in China. On-going issues regarding real estate risk management in China will take on increased importance for institutional investors seeking China real estate exposure.Practical implicationsOpportunity real estate funds are an important style of real estate investing, often used by institutional investors to gain non-listed real estate exposure in a developing real estate market. This style of real estate investing has been popular with institutional investors seeking exposure to China real estate as part of the China economic growth dynamic. The results of this research highlight the importance of opportunity real estate investing in China, both via a pure China opportunity real estate fund and via a pan-Asia opportunity real estate fund. Based on this empirical analysis, China opportunity real estate exposure is seen to be more effective via a pan-Asia opportunity real estate fund than a 100% China opportunity real estate fund. A range of practical China real estate investment issues are also highlighted for the effective delivery of China real estate exposure for institutional investors going forward; this particularly relates to the on-going risk management for real estate investment in China.Originality/valueThis paper is the first empirical research analysis of the risk-adjusted performance of China opportunity real estate and its role in a mixed-asset portfolio. Using bespoke China opportunity real estate fund indices developed by the authors, this research enables empirically-validated, more informed and practical opportunity real estate investment decision-making regarding the strategic role of China opportunity real estate in an institutional investor's portfolio. It also highlights the importance of various facets of real estate risk management in China going forward.

Research on Relationship Between Population Structure and Real Estate Investment with Big Data

With the rapid development of "Internet +", the current supply and demand of real estate have changed. The introduction of big data technology to analyze the demographic structure and real estate market-related information improves the scientific nature of real estate investment decisions. Scientifically defining the guiding role of population structure on real estate development investment is helpful to promote the coordinated development of real estate industry. Based on this, we build a theoretical model of the real estate development investment data analysis support system by selecting the panel data of each province from 2002 to 2018 and using the econometric model. The impact of population structure is tested on real estate investment from the national level and sub-regional level. The specific effect of population structure is also analyzed on investment under the urbanization rate. The research result shows that the total dependency ratio of the population and the youth dependency ratio is negatively correlated with real estate development investment at the national level. The elderly dependency ratio is positively correlated with real estate development investment. At the regional level, the elderly dependency ratio is only in the central region. As a positive impact, the juvenile dependency ratio affects real estate development investment, but the degree of influence is different. From the perspective of the urbanization process, the higher the urbanization rate, the less binding the juvenile dependency ratio on real estate development investment. In view of this, from the perspective of population structure, suggestions are put forward on the supply-side structural reform of the real estate industry.

How much to invest for house purchase? The consumer purchase intention perspective of real estate investment decision

PurposeThis study is based on the consumer purchase intention (CPI) in real estate. The purpose of this study is to investigate the link between CPI and preferred individual investment capacity in buying real estate properties. This study investigates if commonly known factors of CPI such as attitude, social power or subjective norms, perceived behavior power or control, location, surrounding environment and socialization can influence a consumer’s preferred investment amount when buying a house, either for own use or for rental purpose.Design/methodology/approachA total of 334 respondents participated in this study. The survey data was analyzed using factor analysis technique, ordinary least square technique and Poisson pseudo maximum likelihood technique.FindingsThis study finds that location, surrounding environment, property/construction papers, roads, mosque/temple and fire services significantly influence the preferred investment amount of a real estate investor.Originality/valueThis study suggests that a link exists between CPI and real estate investment decision through factors such as location, surrounding environment, legal documentation and communication facility. These identified CPI factors require serious consideration by the real estate developers and their financing partners.