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The purpose of this study is to quantify the impact of electricity power outages on the local housing market in South Africa.

This study uses the autoregressive distributive lag (ARDL) and quantile autoregressive distributive lag (QARDL) models on annual time series data, for the period 1971–2014. The interest rate, real income and inflation were used as control variables to enable a multivariate framework.

The results from the ARDL model show that real income is the only factor influencing housing price over the long run, whereas other variables only have short-run effects. The estimates from the QARDL further reveal hidden cointegration relationship over the long run with higher quantile levels of distribution and transmission losses raising the residential price growth.

Overall, the findings of this study imply that the South African housing market is more vulnerable to property devaluation caused by power outages over the short run and yet remains resilient to loadshedding over the long run. Other macro-economic factors, such as real income and inflation, are more influential factors towards long-run developments in the residential market.

To the best of the authors’ knowledge, this is the first study to examine the empirical relationship between power outages and housing price growth.

Premium subsidy rates were increased in 2019 and 2020 for livestock risk protection (LRP) insurance, which is price insurance for cattle producers. The authors examined if the LRP subsidy rate changes affected the LRP coverage levels purchased by feeder and fed cattle producers.

The authors collected the United States Department of Agriculture Risk Management Agency summary of business sales data for daily LRP purchases from 2015 to 2023. The authors estimated a multinomial logit model to determine if subsidy rate changes were associated with the likelihood of LRP policies being purchased at different coverage levels.

After the 2019 and 2020 subsidy rate changes, the likelihood of producers buying LRP-feeder cattle policies with coverage over 95% increased relative to the policies with coverage less than 89.99% but did not influence the likelihood of producers buying LRP-feeder cattle policies with coverage between 90 and 94.99% relative to policies with coverage less than 89.99%. Marginal effects show these subsidy rate changes increased the likelihood of buyers purchasing LRP-feeder cattle policies with greater than 95% coverage. The subsidy change did not affect the purchase of LRP-fed cattle policies.

The results demonstrate the influence of the recent LRP policy adjustments on insurance purchases, which could be important for agency officials and policy makers. This is the first study to explore the LRP policy purchases which provides the United States cattle industry insight into the LRP price insurance take-up, which can guide producer extension education on managing price risk.

We develop a conceptual framework as a basis for thinking about the impact of extractive industries and emancipatory potential of alternative accounts. We then review selected alternative accounts literature on some contemporary issues surrounding the extractive industries and identify opportunities for accounting, auditing, and accountability research. We also provide an overview of the other contributions in this special issue.

Drawing on alternative accounts from the popular and social media as well as the alternative accounting literature, this primarily discursive paper provides a contemporary literature review of identified issues within the extractive industries highlighting potential areas for future research. The eight papers that make up the special issue are located within a conceptual framework is employed to illustrate each paper’s contribution to the field.

While accounting has a rich literature covering some of the issues detailed in this paper, this has not necessarily translated to the extractive industries. Few studies in accounting have got “down and dirty” so to speak and engaged directly with those impacted by companies operating in the extractive industries. Those that have, have focused on specific areas such as the Niger Delta. Although prior studies in the social governance literature have tended to focus on disclosure issues, it is questionable whether this work, while informative, has resulted in any meaningful environmental, social or governance (ESG) changes on the part of the extractive industries.

The extensive extractive industries literature both from within and outside the accounting discipline makes a comprehensive review impractical. Drawing on both the accounting literature and other disciplines, this paper identifies areas that warrant further investigation through alternative accounts.

This paper and other contributions to this special issue provide a basis and an agenda for accounting scholars seeking to undertake interdisciplinary research into the extractive industries.

This study aims to explore marketing strategies that UK fish farming businesses can use to gain a competitive advantage. The marketing strategies examined include product branding and core competencies, sales promotion, market positioning and segmentation.

A survey through an online questionnaire was mailed to five randomly selected trade associations of UK fish farming businesses and distributed to their registered members, of which 200 responded. Both male and female genders with different age groups and levels of experience in the UK fish farming business participated. In addition, ten articles were sampled for a systematic review.

Results show that UK fish farming businesses could increase sales by using ecolabels in product branding to attract premium prices, build consumer confidence and using high-quality packages for fish products will keep fish fresh for a longer period.

The scope of this research is limited to the UK. The findings cannot be generalised and used for other jurisdictions because of variable economic and market conditions.

A significant recommendation from this case study is that fish farming businesses need to be creative and innovative in ways such as leveraging branding, sales promotions and core competencies to win the trust and confidence of consumers. Most importantly, each fish farming business should know the specific marketing strategy that works for them; this case study shows that not all branding and sales promotion techniques enhance competitiveness. The scope of this research is limited to the UK. The findings cannot be generalised and used for other jurisdictions because of variable economic and market conditions.

Platform certification constitutes an effective mechanism for managing the lemon problem concerning food e-commerce. This work aims to evaluate the market effect of platform certification and analyzes its correction mechanism for lemon problem combined with reputation mechanism.

Utilizing the Gold Seller certification of Taobao.com to serve as an illustration, the authors conducted an empirical study based on the sales data of hairy crabs among 2,239 sample sites over six points in time from October to December 2019, systematically examining the market effect of food e-commerce platform certification along with the interaction between food e-commerce platform certification and reputation mechanisms, followed by a heterogeneity test by product price.

This study finds that sellers with platform certification can significantly increase their sales. The market effect of platform certification is more easily observed in the low-price product market. In addition, platform certification and reputation mechanisms have complementary effects. In a low-price product market, the complementary effect of platform certification and product reputation diminishes, while the complementary effect of platform certification and seller reputation disappears.

This study explores the market effect of food e-commerce platform certification, reveals the market effect of certification mechanism when multiple signaling mechanisms exist simultaneously and conducts an empirical test based on real market data. It provides a better comprehension of how platform certifications work in food e-commerce.

Geopolitical risks associated with the return of great power politics and growing nationalism have generated new challenges for foreign investors across industries. Oil and gas companies are well acquainted with such risks and have developed strategies to manage them. This paper reviews five of these strategies: divorcing ownership control from operating control in designing collaborative ventures; proactively managing stakeholder relationships; ensuring transparency and communication; diversifying risks while proactively positioning for emerging opportunities; and deliberately planning for exit should such an eventuality arise. Firms outside of oil and gas can draw on these strategies as they navigate the emerging geopolitical context.

This paper reviews five strategies that oil and gas companies can use to manage geopolitical risk: divorcing ownership control from operating control in designing collaborative ventures; proactively managing stakeholder relationships; ensuring transparency and communication; diversifying risks while proactively positioning for emerging opportunities; and deliberately planning for exit should such an eventuality arise.

This study identifies several strategies that oil and gas companies have used to manage geopolitical risks. These tools will be increasingly important in the shifting global political landscape.

Drawing on the experiences of oil and gas companies, this study has identified several strategies that companies can use to shield themselves from the risks that are currently emanating from geopolitics. While these best practices originate in the experiences of oil and gas firms, the ability to deftly manage geopolitical risks is becoming an important prerequisite for companies across industries.

The study aims to develop a model that supports the application of data science techniques for real estate professionals in the fourth industrial revolution (4IR) era. The present 4IR era gave birth to big data sets and is beyond real estate professionals' analysis techniques. This has led to a situation where most real estate professionals rely on their intuition while neglecting a rigorous analysis for real estate investment appraisals. The heavy reliance on their intuition has been responsible for the under-performance of real estate investment, especially in Africa.

This study utilised a survey questionnaire to randomly source data from real estate professionals. The questionnaire was analysed using a combination of Statistical package for social science (SPSS) V24 and Analysis of a Moment Structures (AMOS) graphics V27 software. Exploratory factor analysis was employed to break down the variables (drivers) into meaningful dimensions helpful in developing the conceptual framework. The framework was validated using covariance-based structural equation modelling. The model was validated using fit indices like discriminant validity, standardised root mean square (SRMR), comparative fit index (CFI), Normed Fit Index (NFI), etc.

The model revealed that an inclusive educational system, decentralised real estate market and data management system are the major drivers for applying data science techniques to real estate professionals. Also, real estate professionals' application of the drivers will guarantee an effective data analysis of real estate investments.

Numerous studies have clamoured for adopting data science techniques for real estate professionals. There is a lack of studies on the drivers that will guarantee the successful adoption of data science techniques. A modern form of data analysis for real estate professionals was also proposed in the study.

The organised self-help approach successfully enhances urban low-income earners' (LIE) homeownership in some developing countries. The technique can enhance urban resilience for sustainable LIE homeownership. There is a paucity of studies concerning sustainable homeownership for Nigeria's urban LIE through a self-help approach. The study investigated the housing needs of the urban LIE via organised self-help mechanisms and how the same can enhance urban resilience for sustainable homeownership in the Ancient City of Benin, Nigeria.

Given the unexplored nature of the issue, 20 face-to-face interviews were conducted with experts and analysed through a thematic approach.

Findings identified eleven main barriers faced by the urban LIE. This includes the absence of government housing policy, funding frameworks, urban land scarcity, high property development costs, naira devaluation, high-interest rates, inflation, bribery and corruption, lax mortgage sub-sector, high cost of infrastructure, and government bureaucracy.

This study will contribute to pioneering the role of organised self-help mechanisms in urban resilience for sustainable LIE homeownership in developing cities via a qualitative approach. Also, findings would significantly contribute to developing countries' sustainable housing and urban resilience literature.

This paper aims to consider the relevance of asset impairments when evaluating stewardship by management.

This paper considers association of earnings (including and excluding asset impairments) with contemporaneous stock returns which are used as a measure of management performance and demonstration of stewardship.

Evidence is provided of earnings including asset impairments (an accounting measure of current measure firm performance) having a higher explanatory power for contemporaneous stock returns (an objective evaluation of current period firm performance) than earnings exclusive of asset impairments. Consistent with this, recognized asset impairments are significantly associated with contemporaneous stock returns. These results occur across firm years generally, as well as for firm years exhibiting indicators of impairment and firm years recognizing asset impairments.

This paper adds to the literature providing evidence of asset impairments not being recognised on a timely basis. Additionally, challenges are identified in evaluating the relevance of accounting information for so-called growth firms.

These findings support continued recognition of asset impairments in the Statement of Profit or Loss if stewardship is accepted as an objective for financial reporting. It also suggests issues with the recognition of asset impairments that might be addressed by enhanced disclosure.

This paper is distinctive in that it considers the relevance of accounting information for evaluating stewardship, as distinct from decision-making. It also considers alternate measure of performance (earnings including and excluding asset impairments) for all firms rather than only those disclosing an alternate measure (i.e. a fair horse race)

Socioeconomic development needs quality governance to provide and protect property rights and other economic means. In this regard, the current study examines the symmetric and asymmetric effect of composite governance index, unemployment rate (UR) and consumer price index on the crime rate (CR) in Pakistan.

The current study uses time series data (1996–2020) on CR, composite governance index, UR and consumer price index. In this study, the authors first constructed a composite governance index from six governance indicators using the principal component analysis (PCA) method. After that, the short-run and long-run symmetric and asymmetric effects were estimated through linear and non-linear autoregressive distributed lag (ARDL) models, respectively.

The authors found short-run and long-run symmetric and asymmetric effects of governance, unemployment and consumer prices (CPI) on the CR in Pakistan. For asymmetric effects, the findings show that high-quality governance diminishes and poor governance accelerates committed crimes in Pakistan. Interestingly, the asymmetric unemployment effect suggests that criminal behavior diminishes when people find job opportunities and do not adopt criminal behavior even if people lose employment. In other words, if unemployment decreases CR will fall, and when unemployment increases, the CR may not increase. Lastly, rising product prices lead to criminal behavior, while falling prices do not help to diminish the CR in Pakistan.

The study provides the first empirical evidence of symmetric and asymmetric responses of CR toward composite governance index, UR and consumer price index.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2022-0625