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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.

The green building (GB) market is maturing after years of practice; therefore, incentives for promoting GB should be adapted to reflect the market transformation. Adapting incentives can positively influence stakeholders' motives, which in turn change stakeholders' behavioural intention towards GBs. Hence, this study aims to examine the parameters influencing the decision to adopt GB and to ascertain how incentive mechanisms promote the uptake of GB in South Africa.

Using a scoping literature review and a sequential mixed research method, primary data were acquired from GB experts in four South African provinces. In analysing the quantitative data, the factors were ranked hierarchically using the mean ranking technique and factor analysis was computed to identify the underlying GB incentives. The qualitative data were analysed using content analysis.

The results indicate that incentive payment from a utility energy efficiency programme, rebates and discounts relating to environmentally friendly materials and products and providing grants to homeowners and developers to go towards certification were the most essential monetary incentives for promoting GB. In the category of non-monetary incentives, recognition of consultant team members and developers and free marketing/good publicity were the most important incentives. The incentive mechanisms were subsequently categorised as “Economic incentives” and “Reward scheme and technical support”.

This study was confined to four metropolitan areas in South Africa. Nevertheless, the outcomes have practical implications for GB projects in general and may serve as a good reference for other provinces in South Africa.

The findings of the study are a valuable resource for stakeholders such as the government, municipal assemblies, professional bodies and the Green Building Council of South Africa (GBCSA) in developing effective incentive mechanisms to promote GB adoption. This study adds to the body of knowledge relevant to GB incentivisation in South Africa.

Income from investment properties can fluctuate depending on the state of the economy. The idea that there is always a potential exit (sale) value whenever the property stops performing at its optimum or deflation in the economy will always appeal to investors. To determine housing prices, investors would rely on a direct comparison approach (DCA) of recent substitute sales in the open market. Appraisers use this approach to develop an opinion of value when there is a plethora of recent sales to analyse.

The study was designed to establish the use of the analytical hierarchy process (AHP) approach as a support tool for deciding property appraisals. A case study of an industrial single-storey stand-alone building with grade-level parking in the south-east of Calgary, Canada, was investigated with the AHP approach. The result was cross-referenced with the DCA.

Using a consistency index of 0.077321 and a consistency ratio of 0.085912, the matrix multiplication was determined to be 0.456706. The average valuations derived from the adjusted price per square foot using the direct comparison method and the unadjusted price per square foot using the AHP were deemed the best value estimate in the light of available comparables. The implications of the findings suggest that AHP, as a quantitative technique, can support and validate the use of similar non-recent sale comparables when appraising investment properties with the DCA.

AHP is an alternative aid in quantitatively deciding the most significant value attribute for comparison before subjective adjustments. When intuitively applied in the DCA, these subjective adjustments almost always lead to an overvaluation of properties.

The purpose of this study is to understand the investment decision-making of real estate investors in housing, highlighting the interplay between rational and irrational factors. In this study, investment satisfaction was a mediator, while reinvestment intention was the dependent variable.

A quantitative, cross-sectional and descriptive research design was used, gathering data from a sample of 550 residential real estate investors using a multi-stage stratified sampling technique. The partial least squares structural equation modelling disjoint two-stage approach was used for data analysis. This methodological approach allowed for an in-depth examination of the relationship between rational factors such as location, profitability, financial viability, environmental considerations and legal aspects alongside irrational factors including various biases like overconfidence, availability, anchoring, representative and information cascade.

This study strongly supports the adaptive market hypothesis, showing that residential real estate investor behaviour is dynamic, combining rational and irrational elements influenced by evolutionary psychology. This challenges traditional views of investment decision-making. It also establishes that behavioural biases, key to adapting to market changes, are crucial in shaping residential property market efficiency. Essentially, the study uncovers an evolving real estate investment landscape driven by evolutionary behavioural patterns.

This research redefines rationality in behavioural finance by illustrating psychological biases as adaptive tools within the residential property market, urging a holistic integration of these insights into real estate investment theories.

The study reshapes property valuation models by blending economic and psychological perspectives, enhancing investor understanding and market efficiency. These interdisciplinary insights offer a blueprint for improved regulatory policies, investor education and targeted real estate marketing, fundamentally transforming the sector’s dynamics.

Unlike previous studies, the research uniquely integrates human cognitive behaviour theories from psychology and business studies, specifically in the context of residential property investment. This interdisciplinary approach offers a more nuanced understanding of investor behaviour.

The “metaverse” is the new buzzword. With the phenomenal growth of the metaverse comes accounting, taxation and jurisdictional challenges, which business and governments have yet to fully address. This paper aims to highlight and rationalise the lack of regulatory framework and multiplicity of jurisdictions on metaverse transactions. This paper addresses some of the complications with respect to accounting and taxation in virtual environments.

This study relies on secondary data and emerging literature to understand the multiplicity of jurisdiction and complexity of the accounting transactions. The concept of the metaverse is rapidly evolving, and this study uses extant literature to provide the foundation for understanding the key challenges relating to accounting and taxation.

Concepts of revenue recognition and deferment are challenged by the transactions in the metaverse. There are novel applications, underpinned by emerging technologies and blockchain supporting new crypto assets, such as non-fungible tokens and other decentralised finance (DeFi) tools; however, the caveats of anonymity and jurisdictional issues persist. The paper suggests that the industry must adapt to the unique reporting requirements of these assets and develop new standards for evaluating their value for financial reporting purposes. The paper emphasises the need for a case-based approach in the absence of standardised regulations for the accounting industry in the metaverse.

This paper adds original contributions to extant literature of the metaverse and advances ongoing debates into the accounting and taxation issues pertinent to the metaverse and DeFi.

This paper investigates whether China's R&D tax deduction policy triggers firms to manipulate their R&D expenditures upward.

This paper employs the ratio of actual tax savings as a proxy for the benefits of the R&D tax deduction policy based on manually collected and systematically cross-checked data. The relationship between tax benefits and abnormal R&D spending is estimated in a sample of Chinese A-share listed companies for the period 2007–2018.

The findings suggest that tax deductions lead to positive abnormal R&D spending and that this deviation in R&D spending may be attributed to firms' upward R&D manipulation for tax avoidance. The results also indicate that this behavior is more significant for the period after the policy revision, in non-HNTEs (high and new technology enterprises), and in firms with a high ratio of R&D expenses.

It is difficult to establish a sophisticated and unified model to identify the specific strategy of upward R&D manipulation that firms use to obtain tax benefits.

Managers should take into account upward R&D manipulation when designing governance mechanisms. Policymakers in developing countries may further pursue preferential tax policies that cover every stage of innovation activities gradually; the local provincial governments need to leverage their proximity and flexibility advantages to develop a tax collection and administration system.

This study contributes to the understanding of the complex effect of R&D tax incentives and helps more fully illuminate firms' upward R&D manipulation behavior from the perspective of tax planning strategies, which are underexplored in previous research.

Challenges of property data in developing markets have been reported by several authors. However, a deep understanding of the actual nature of this phenomenon in developing markets is largely lacking as in-depth studies into the actual nature of data challenge in such markets are scarce in literature. Specifically, the available literature lacks clarity about the actual nature of data challenges that developing markets pose to valuers and how this affects valuation practice. This study provides this understanding with focus on the Lagos property market.

This study utilises a qualitative research approach. A total of 24 valuers were selected using snowballing sampling technique, and in-depth semi-structured interviews were conducted. Data collected were analysed using thematic analysis with the aid of NVivo 12 software.

The study finds that the main data-related challenge in the Lagos property market is the lack of database of market property transactions and not the lack or absence of transaction data as it has been emphasised in previous studies. Other data-related challenges identified include weak property rights institution with attendant transaction costs, underhand dealings among professionals, undocumented charges, undisclosed information, scarcity of data relating to specialised assets and limited access to the subject property and required documents during valuation. Also, the study unbundles the factors responsible for these challenges and how they affect valuation practice.

The study has implication for practice in the sense that the deeper knowledge of data challenges could provide insight into strategy to tackle the challenges.

This study contributes to the body of knowledge by offering a fresh and in-depth perspective to the issue of data challenges in developing markets and how the peculiar nature of the real estate market affects the nature of data challenges. The qualitative approach adopted in this study allowed for a deep enquiry into the phenomenon and resulted into an extended insight into the peculiar nature of data challenges in a typical developing property market.

This paper assesses the impact of tax reforms on tax revenue mobilisation in Ghana.

The autoregressive distributed lag model together with dynamic ordinary least squares and fully modified least squares techniques were employed on a time-series data spanning from 1980–2018. Exploiting data from IMFs monitoring of fund arrangements database, an index of tax reforms is constructed as a function of the number of successfully implemented tax-related reforms and policy measures per year over the study period.

Having established the presence of co-integration between tax revenue and its determinants, this paper finds strong evidence that tax-related reforms exert positive and significant impact on tax revenue generation in Ghana. Among other covariates, the results show that the tax base (real GDP), public debt and education (human capital index) significantly boosts tax revenue in the long run.

The success of tax reforms in boosting revenue mobilisation has been examined in light of the buoyancy and elasticity of the tax system in Ghana, albeit with little emphasis on the extent to which tax reforms contribute to tax revenue mobilisation from econometric perspective. This paper fills this gap in the literature by analysing the impact of tax reforms on tax revenue mobilisation in Ghana. As a recommendation, well-designed and implemented tax reforms and policies aimed at increasing the tax base, education and effective utilisation of funds from public debt promise to be instrumental in boosting tax revenue in Ghana.

Because of growing corporate tax scandals, there is an enhanced focus on corporate taxation by governments, institutions and the general public. Transparency in tax matters has been identified as critical for effectively managing and promoting socially responsible tax behaviour. This study aims to explore the impact of ownership structure, board and audit committee characteristics on corporate tax responsibility (CTR) disclosure.

This research collected data from the annual reports of Pakistani-listed firms over 12 years, from 2009 to 2020. Consequently, the data set encompasses a total of 1,800 firm-year observations. This study uses regression analysis to test the relationship between corporate governance and CTR disclosure.

The results show that board gender diversity, managerial ownership and audit committee independence promote tax responsibility disclosure. In contrast, family board membership, CEO duality, foreign ownership and family ownership negatively impact tax responsibility disclosure. Additional analyses reveal the specific information categories that produce the overall effects on tax responsibility disclosure and assess the moderating impact of family firms on the governance and CTR disclosure nexus.

Corporations can use the results to encourage practices that enhance transparency and improve the quality of disclosures. Regulatory authorities can use the findings to stipulate better protocols. Doing so will be vital for developing countries such as Pakistan to improve tax revenue and cultivate economic growth.

While this research represents, to the best of the authors’ knowledge, one of the first empirical investigations of the association between corporate governance and CTR, the results contribute to the corporate governance literature and offer fresh insights into CTR, an emerging dimension of corporate social responsibility.

Several countries, such as South Africa and India, believe that intellectual property rights (IPRs), including patents, impede the efficient increase in vaccine production to inoculate the global population as they scramble to recover from the COVID-19 pandemic. Their proposal at the World Trade Organization (WTO) to waive these pharmaceutical patents has been met with resistance from a few developed countries, who believe that the abrogation of IPRs is unnecessary, even during a pandemic. The purpose of this paper is to discuss the impact of a potential waiver of medical patents at the WTO versus the status quo of IPR laws in the global economy.

This study examines key arguments from economic and moral standpoints regarding the provisions of the Trade-Related Aspects of Intellectual Property Rights (TRIPS) agreement and other related international agreements and their validity based on the premise of the internalisation of positive externalities posed by vaccines.

The effectiveness of the TRIPS agreement in securing medical access is weak on account of the ability of profit-making multinationals to secure IP rights and on account of the Trans-Pacific Partnership, a multilateral agreement that supports patent evergreening and a period of protection on test data which challenges the access to medicines and the fundamental human right to health.

This study examines international IPRs through the lens of human rights and proposes a new system that balances the two.