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This paper aims to focus on the housing situation in Indian cities and the various stakeholders involved in the housing sector. This study addresses the conflict in expectations of the supply and demand side of the housing and establishes the factors crucial to making housing successful for all the stakeholders, essential for sustainable urban development.

This paper is developed using the content analysis of preceding independent reviews on housing sustainability by authors across the globe, a review of the current housing situation in Indian cities and a Pilot study of the desired qualitative aspects of housing by the consumer group.

This paper identifies the challenges and constraints of the various stakeholders involved in the housing sector. A comprehensive list of all the parameters, both qualitative and quantitative, essential for successful housing implementation, focused on the preferences of the demand side, also referred to as the “Critical Success Factors (CSFs)” is generated. The results advocate a strict consideration and integration of these CSFs with the housing policies for all future housing projects.

Most of the studies conducted in the past have reviewed the housing situation in India from the perspective of the government authorities and the initiatives undertaken by them to improve the housing crisis. However, a gap exists in achieving a balanced understanding of the supply-side constraints, with the demand-side expectations from the housing. Focusing only on the supply without adequately understanding the consumption can only lead to further chaos in the already turbulent housing situation.

To the best of author’s knowledge, this is among the first attempts to address the housing scenario in urban centers of India, simultaneously from the perspective of both the demand side and the supply side of the housing, giving additional impetus to the expectations of the demand side which are often ignored. This study becomes more relevant in the ongoing pandemic situation to be able to provide appropriate and acceptable housing solutions to all.

Housing policies in India (last modified in 2017) define “affordable housing” on three main parameters – income of the target group, dwelling unit size and house price to income ratio. The Covid-19 pandemic has questioned the robustness of the defining parameters of affordable housing. This paper aims to study the impact of Covid-19 pandemic on housing affordability and adequacy for the urban poor and highlights how one pandemic has directly challenged the practicality of the affordable housing criteria in urban India.

The study is based on a pilot test conducted through interviews with the consumer group. Furthermore, the affordable housing policies of urban India were studied in conjunction with the pandemic guidelines laid down by the World Health Organization. The consumer responses were analyzed in relation to the policies and guidelines to arrive at the inferences. The secondary case examples of the Dharavi slums in Mumbai and the Savda Ghevra slum resettlement colony in Delhi, along with the findings of the primary survey in the economically weaker section category, are used to formulate the conclusions.

The pilot test conducted for the target consumer group clearly indicates that (i) the pandemic has severely affected the housing purchase capacity of the target consumer, thereby questioning the “affordability” of housing; (ii) proposed housing solutions are inadequate to enable livability, thereby questioning the “adequacy” of housing; and (iii) proposed housing solutions are inept to accommodate pandemic protocols. The Covid-19 pandemic and the conditions it imposed on the built environment clearly highlight the inadequacy of affordable housing parameters being followed in urban India.

Further research may be conducted on global best practices in housing, which may advise the housing policies in India.

The study suggests key areas that need intervention and modification to make the housing policies more robust and effective.

The study explores the social sustainability aspects of housing, which are often considered secondary in policies.

Because housing has a direct bearing on the physical, social and mental well-being of society, it is imperative to find housing solutions that are safe and resilient for a sustainable future. This paper is an original attempt by the author to question and highlight how the current affordable housing solutions adopted in urban India will continue to fail under any external adverse conditions unless modifications are considered in the existing housing parameters.

Land value in urban areas in India is influenced by regulations, bylaws and the amenities associated with them. Planning interventions play a significant role in enhancing the quality of the neighbourhood, thereby resulting in a change in its value. Land is a distinct commodity due to its fixed location, and planning interventions are also specific to certain locations. Consequently, the factors influencing land value will vary across different areas. While recent literature has explored some determinants of land value individually, conducting a comprehensive study specific to each location would be more beneficial for making informed policy decisions. Therefore, this article aims to examine and identify the critical factors that impact the value of residential land in the National Capital Territory of Delhi, India.

The study employed a combination of semi-structured and structured interview methods to construct a Relative Importance Index (RII) and ascertain the critical determinants affecting residential land value. A sample of 36 experts, comprising property valuers, urban planners and real estate professionals operating within the National Capital Territory of Delhi, India, were selected using snowball sampling techniques. Subsequently, rank correlation and ANOVA methods were employed to evaluate the obtained results.

Location and stage of urban development are the most critical determinants in determining residential land values in the National Capital Territory of Delhi, India. The study identifies a total of 13 critical determinants.

A scenario planning approach can be developed to achieve an equitable distribution of values and land use entropy. A land value assessment model can also be developed to assist professional valuers.

There has been a lack of emphasis on assessing the impact of planning interventions and territorial regulation on land values in the context of Delhi. This study will contribute to policy decision-making by developing a rank list of planning-based determinants of land value.

This paper investigates the dynamic nature of risk in pre-, during- and post-COVID duration. It investigates how commercial office portfolio stakeholders in India perceived risk during the COVID pandemic, their risk response and mitigation strategies, and emerging structural changes that would impact the commercial office portfolio (COP) in the post-COVID period.

A qualitative and applied research method is adopted for the study. Through purposive sampling, commercial office portfolio stakeholders were selected and interviewed using a semi-structured questionnaire having two parts. In the first part, risk attributes were accessed on the Likert scale and in the second part there were open-ended questions.

The uncertainty during the COVID period increased the risk perception significantly. There was a sense of urgency to retain the tenants, preserve the headline rentals and keep the properties operational. COP managers were forthcoming to offer rent deferments, common area maintenance discounts and upgrades in the physical office in form of touchless equipment, better air filters, etc. Post-pandemic there would be extensive use of technology and data for facility management and space utilization analytics; mainstreaming of hybrid working and flexible office spaces; increased certification of buildings; adoption of ESG and sustainability norms; and better-designed buildings with a focus on EHS and wellbeing.

Identifying structural changes in the post-pandemic period will help the COP managers to align their portfolios to the emerging office market requirements.

This study helps in developing an understanding of the dynamic nature of the risk across pre-, during- and post-COVID periods. And risk responses and mitigation strategies adopted during the COVID period in an emerging market.

Investment in non-listed real estate funds (NREFs) in an emerging economy like India has its own challenges that entail a detailed understanding of the risks. The purpose of this paper is to identify the key risk factors across the life cycle of a NREF, based on a considered feedback of various real estate fund management stakeholders. It is important for the investors and fund managers to appreciate these risk factors to make informed investment decisions.

The present study based on the literature survey and discussion with experts identifies 39 risk attributes, which were further summarized using factor analysis into a smaller set of factors impacting NREF returns (risk). The relative importance of each risk attribute was examined and ranked using the relative importance index (RII). Further, cluster analysis using Euclidian distance was used to partition these risk attributes in various segments depending on their importance.

The risk attributes are summarized as five risk factors, i.e. regulatory RISK, foreign direct investment risk, entry risk, business risk and project risk. Whereas the top five perceived risk attributes are investee/partner risk, project entitlement risk, title risk, legislative and regulatory risk and project execution risk.

This study has significance to the industry practitioners and the academic community in developing an understanding of the dynamic nature of risks across the life cycle of the NREFs in India and classifying them at the macro-meso-micro levels.

This paper is one of the first attempts to understand the risks impacting NREFs in India. It will help investors develop a better strategic understanding of the risks across the life cycle of an investment.

This case study aims to appraise the financial benefits of green building construction in developing countries. The case study presents, green building's positive net present value (NPV) investment in real terms and potentially enhanced stock market returns at the firm level compared to competitors.

The case study examines secondary data on a green building certification and longitudinal operation costs to estimate green building investments' financial benefits. The case study also compares the stock market performance of green building portfolio company with non-green building competitors of similar size and industry.

The case study finds out that the real return rate on green building investment is higher than the weighted average cost of capital (WACC) of the company with an inflation-adjusted payback period of fewer than ten years. Findings compare favourably to the extant literature which was mostly in developed economies. The paper further highlights that stock market performance for a green building focused company shows improved returns to shareholders relative to non-green competitors.

The results are specific to the time and building researched; green buildings costs have reduced over time, and a new study may show improved case study findings. The case study results on stock market performance are indicative and may need further research for evaluation.

The case study presents a model for critical appraisal of green buildings investment. The paper further indicates that green building investment may lead to operational savings and superior stock performance compared to competitors.

The paper presents a green building investment appraisal model which might be useful for the industry and academia. Developing countries have limited literature on green buildings' financial benefits; this case study quantifies the financial benefits and compares them with the available literature related to developed economies’ green buildings.

Real estate forms an important part of any economy and the investment in real estate, in turn, is impacted by the macroeconomic environment of that country. The purpose of the present research is to examine macroeconomic determinants of foreign and domestic non-listed real estate fund (NREF) flows and to examine whether they are similar or different for an emerging economy like India.

The long and short-run cointegration between the time-series variables is estimated using the autoregressive distributed lag (ARDL) bounds test and error correction model (ECM) using quarterly data across the 2005–2017 period. ARDL is a suitable method for short time-series data.

The empirical results indicate that domestic NREF flows are positively and significantly impacted by real GDP and performance of listed real estate stocks (i.e. BSE realty index). Whereas, foreign NREF flows are positively and significantly impacted by the exchange rate, performance of listed real estate stocks and domestic NREF flows.

The empirical results have significant implications for academicians, policy makers and real estate market practitioners. In the context of these results, some interesting insights are gained that would help in the implementation of the policies aimed toward increasing the fund flows in the real estate sector, which in turn would have a significant trickle-down effect on the Indian economy.

The existing literature looks at macroeconomic and other drivers of foreign investment in international real estate investments. However, there are very few studies on the determinants of domestic real estate investment flows and on determinants of NREFs' investment flows; particularly in emerging markets. The present study, in contrast, evaluates simultaneously the macroeconomic determinants of the domestic and foreign NREFs' investment flows in India. The ARDL and ECM method used has been applied for the first time to the study of NREFs.

This study provides an extensive risk assessment framework for nonlisted real estate funds' (NREFs) portfolio management in India across their life cycle; that is, the investment stage, the monitoring stage and the exit stage in an emerging market context. The study of risk across these three stages is a new addition to the literature and assumes importance in the context of real estate portfolio management for NREFs in the emerging markets (e.g. India), which are predominantly an opportunistic investment play.

The risk assessment framework is built on the multiactor/multicriteria risk priorities, using analytical hierarchy process (AHP), obtained from 35 experts in four real estate fund management professional groups; namely, investors/fund managers, valuers, consultants and international developers.

The results demonstrate that the real estate portfolio management risk priorities change across the three life cycle stages of the fund. At the investment stage, specific risks are most critical; at the monitoring stage, it is important to concentrate on all three risks – specific, systematic and management risks; and at the exit stage, systematic risk plays a crucial role. Real estate portfolio management risk evaluation at the subfactor level shows that investee/partner and location selection needs to be critically evaluated at the time of the investment; project execution and quality of development must be monitored during the construction/monitoring period; and repatriation of the funds, currency volatility and exit risk (resale) are critical at the exit stage of the fund.

The understanding of the real estate portfolio management risk transformation across the life cycle stages is crucial for NREF managers for risk minimization, transfer and mitigation strategy formulation in their real estate portfolios. Unlike previous research that evaluates investment risk, this study breaks the NREF's risks into the investment, monitoring and exit stages. The key risk factors for each stage depend on the NREF's real estate activities for that stage. These activities, in turn, give rise to a typical risk profile for that stage. The findings are crucial for the various stakeholders of real estate fund management and policymakers in an emerging market context; particularly India, one of the fastest growing major economies in the world.

This risk assessment framework for simultaneously assessing risk across the three life cycle stages of NREFs is a new addition to the literature.

This paper aims to review the status of literature on financial risk reporting practices (FRRP) for the purpose of synthesizing mounting literature to suggest the relevant risk reporting measure across the globe.

Using a systematic literature review method, a total of 61 articles from 42 referred journals and international conferences published from 2000 to 2018 are reviewed.

It has been found that despite the growing attention on and importance of corporate risk disclosure, academic literature on corporate risk disclosure is limited. Also, research linking risk disclosure with governance mechanisms is rare. Scrutiny of the literature on corporate risk disclosure shows that most of the researchers have focused on the limited or single period to examine the risk disclosure practices, determinants and corporate performance. The limitation of these studies is that with single period data analysis generalization of findings is limited. Findings of longitudinal studies are more reliable, and in extant literature, only a few studies have used data of more than a single period.

This paper contains a comprehensive listing of publications on financial risk reporting and corporate disclosure and its classification according to various attributes. The paper will be useful to researchers, finance professionals and others concerned with risk reporting to understand the importance of risk disclosure.

Introduction: Artificial intelligence (AI), the engineering of brilliant machinery, performs intelligent human intelligence tasks, such as learning and problem-solving. Insurance is a financial protection policy either for individuals or entities to reimburse losses from the insured company. The role of AI in insurance always helps enhance customer services and understand their behaviour.

Purpose: This chapter aims to determine the role of AI in the insurance industry in India. The insurance industry is expanding very fast, and to further increase its horizons, the part of the technology of AI is essential. However, this sector has initiated using AI technology and is expanding its scope to benefit the customers.

Methodology: The authors selected research papers of the last five years to review and determine how the technology changed during the period and how an increase in AI benefits the industry and facilitates delivering the best services, and understanding the customer’s needs and behaviour.

Findings: It has been found that the industry is moving very fast and adopting the AI technology methods to enhance customer services, betterment for growing India, and serve insurance services to the nation efficiently.