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At the 1983 winter meeting of the National Collegiate Athletic Association (NCAA), Proposition 48 (P48) was enacted as an initial step in reforming the state of collegiate athletics. Proposition 48 has two components: P48 and P48B. The first component states that 1) incoming first‐year students must have attained at least a 2.0 grade point average in eleven “core” college preparatory courses, which must include three English courses, two math courses, two social science courses, and two natural or physical sciences courses (including one lab section); and 2) incoming first‐year students must score at least seven hundred on the SAT or fifteen on the ACT. P48B states that 1) first‐year students who do not meet the minimum grade requirements of P48 may still enroll in the university of their choice if accepted; 2) first‐year students who do not meet the minimum requirements of P48 are ineligible for athletics their first year; 3) they will have three years of eligibility remaining provided their academic progress is satisfactory during their ineligible year. The rulings, which stipulate that the nation's 277 Division I college and universities meet the requirements, became effective in August 1986. P48 has thus taken a small step in communicating to high school and college athletes that they must do well academically if they wish to receive athletic scholarships.

Marine transportation has been faced with an increasing demand for containerized cargo during the past decade. Marine container terminals (MCTs), as the facilities for connecting seaborne and inland transportation, are expected to handle the increasing amount of containers, delivered by vessels. Berth scheduling plays an important role for the total throughput of MCTs as well as the overall effectiveness of the MCT operations. This study aims to propose a novel island-based metaheuristic algorithm to solve the berth scheduling problem and minimize the total cost of serving the arriving vessels at the MCT.

A universal island-based metaheuristic algorithm (UIMA) was proposed in this study, aiming to solve the spatially constrained berth scheduling problem. The UIMA population was divided into four sub-populations (i.e. islands). Unlike the canonical island-based algorithms that execute the same metaheuristic on each island, four different population-based metaheuristics are adopted within the developed algorithm to search the islands, including the following: evolutionary algorithm (EA), particle swarm optimization (PSO), estimation of distribution algorithm (EDA) and differential evolution (DE). The adopted population-based metaheuristic algorithms rely on different operators, which facilitate the search process for superior solutions on the UIMA islands.

The conducted numerical experiments demonstrated that the developed UIMA algorithm returned near-optimal solutions for the small-size problem instances. As for the large-size problem instances, UIMA was found to be superior to the EA, PSO, EDA and DE algorithms, which were executed in isolation, in terms of the obtained objective function values at termination. Furthermore, the developed UIMA algorithm outperformed various single-solution-based metaheuristic algorithms (including variable neighborhood search, tabu search and simulated annealing) in terms of the solution quality. The maximum UIMA computational time did not exceed 306 s.

Some of the previous berth scheduling studies modeled uncertain vessel arrival times and/or handling times, while this study assumed the vessel arrival and handling times to be deterministic.

The developed UIMA algorithm can be used by the MCT operators as an efficient decision support tool and assist with a cost-effective design of berth schedules within an acceptable computational time.

A novel island-based metaheuristic algorithm is designed to solve the spatially constrained berth scheduling problem. The proposed island-based algorithm adopts several types of metaheuristic algorithms to cover different areas of the search space. The considered metaheuristic algorithms rely on different operators. Such feature is expected to facilitate the search process for superior solutions.

This paper examines the impact of the COVID-19 pandemic on the mental health and wellbeing of academic and professional Higher Education (HE) staff in the UK.

A mixed-method survey questionnaire was sent to almost 300 UK HE staff to secure qualitative and quantitative data to enable data triangulation.

The study found an adverse impact on academic and professional staff's mental health and wellbeing, further resulting in stress and anxiety. Several reasons for the increased stress and anxiety levels were identified, but social isolation and the increased workload were the most commonly reported. The most affected groups by the pandemic were females, younger staff, full-timers and those with disabilities or caring responsibilities.

This study offers a range of strategies to support staff's mental health and wellbeing; as such, it is of great interest to policymakers to inform their decisions of similar crisis events in the future. It also addresses some of the COVID-19 areas of research interest for the UK parliament.

The study's originality derives from exploring the pandemic's impact on UK HE staff's mental health and wellbeing by including professional staff's experiences alongside those of academics. It also expands the scant evidence concerning the pandemic's impact on HE staff in the UK.

While previous research has identified that environmental innovation is shaped by a variety of drivers, researchers have devoted limited attention to the role of nature-based resources in the country. Building on environmental innovation theory and the natural resource-based view of the firm, this study introduces ecological resource deficits as a novel driver of environmental innovation. The authors explore how ecological resource deficits interact with institutional and regulatory drivers as well as firm-level technology drivers to explain the extent of environmental innovation across different countries.

The authors apply fuzzy-set qualitative comparative analysis to a multi-source dataset to identify different pathways for environmental innovation across 28 countries.

Findings show that higher environmental innovation is a function of ecological resource deficits complemented by the presence of at least two other conditions. Moreover, the results show that environmental policy stringency and societal expectations are substitute conditions of environmental innovation.

This study reveals the interdependences between different conditions for environmental innovation across countries contributing to a more nuanced understanding of the geography of environmental innovation.

This paper examines the political budget cycles in emerging and developing countries using a sample of 91 countries from 1992 to 2019.

This paper employs a pooled ordinary least squares (OLS) model with clustered standard errors at the country level. To address endogeneity issues, the authors also employ a two-step system generalized methods of moments model.

The authors find clear evidence of political budget cycles in emerging and developing countries. The authors consistently find that incumbents increase total government spending, particularly in economic affairs, public services and social welfare, in the year before an election and the election year. In contrast, they contract spending in the year after an election.

Policymakers should be aware of the political budget cycles during election years. Promoting control of corruption and democracy helps to alleviate the effects of the political budget cycles in emerging and developing countries.

The authors are among the first to explore the political budget cycles in emerging and developing countries by focusing on the total government spending and its main compositions, including expenditures on economic affairs, public services and social welfare. Besides, the authors also explore the conditioning effects of control of corruption, political ideology and democracy.

This paper aims to assess dynamics of the knowledge economy (KE)–finance nexus using the four variables identified under the World Bank’s (WB’s) Knowledge Economy Index (KEI) and seven financial intermediary dynamics of depth, efficiency, activity and size.

Principal component analysis is used to reduce the dimensions of KE components before dynamic panel generalized method of moments (GMM) estimation techniques are employed to examine the nexus.

Four main findings are established. First, education improves financial depth and financial efficiency but mitigates financial size. Second, apart from a thin exception (trade’s incidence on money supply), economic incentives (credit facilities and trade) are not consistently favorable to financial development. Third, information and communications technology improves only financial size and has a negative effect on other financial dynamics. Finally, proxies for innovation (journals and foreign direct investment [FDI]) have a positive effect on financial activity; journals (FDI) have (has) a negative (positive) effect on liquid liabilities, and journals and FDI both have negative incidences on money supply and banking system efficiency, respectively.

As a policy implication, the KE–finance nexus is a complex and multidimensional relationship. Hence, blind and blanket policy formulation to achieve positive linkages may not be successful unless policy-making strategy is contingent on the prevailing “KE-specific component” trends and dynamics of financial development. Policy makers should improve the economic incentive dimension of KE that, overwhelmingly and consistently, deters financial development, owing to surplus liquidity issues.

As far as we have reviewed, this is the first paper to examine the KE–finance nexus with the plethora of KE dimensions defined by the WB’s KEI and all the dynamics identified by the Financial Development and Structure Database.

Sustainable food security at the household level is one of the emerging issues for all nations. Several factors such as social, economic, political, demographic, natural and livelihood strategies cause vulnerability in the status of household food security. This study aims to examine the vulnerability of the factors of household food accessibility and its linkage with the climatic changes in Malaysia.

The study is based on primary data collected in the months of July-October, 2012, through a questionnaire survey on 460 low-income households from the East Coast Economic Region (ECER) in Malaysia. The samples were selected from E-Kasih poor household database, based on the cluster random sampling technique. The questionnaire uses a five-point Likert scale, and the data were analyzed using descriptive statistics and ANOVA F statistics for chi-square two-sample test.

The study finds that the vulnerability of the factors of household food accessibility has increased statistically and significantly over the past five years in Malaysia, whereas the contributions of climatic factors are low on these changes. This study suggests that the food security programs in Malaysia need to be integrated with the climatic change adaptation programs to ensure more effective and sustainable household food security in the future.

This study is an original work based on primary data that empirically measures the vulnerability of the factors of household food accessibility, one of the important dimensions of household food security, and its linkage with climatic changes.

This paper aims to analyse the Sharī'ah premises of classical waqf doctrines followed by critically analysing the framework of waqf jurisprudence (fiqh al-awqāf) from a Maqāṣid al-Sharī'ah (the higher objectives of Islamic law) perspective. The objective of examining the jurisprudential framework of waqf from a maqāṣid perspective is to contextualise the scope of dynamism and innovation in the modern waqf structure.

For examining the jurisprudential aspects of classical fiqh al-awqāf with a special reference to Maqāṣid al-Sharī'ah, the paper analyses the classical waqf books and treatises from the four Sunni schools of jurisprudence by employing a textual analysis method.

The paper finds that the key constituents of maqāṣid are interwoven in the classical discourse of waqf rulings. It finds that in deriving the principles of waqf, the jurists ensured that the essentialities of Maqāṣid al-Sharī'ah are subtly intermingled with the necessary components of fiqhī principles. Deconstructing the applied analogical reasoning of the classical jurists in deriving the waqf rulings, this paper provides recommendations for maqāṣid-oriented application of waqf in the modern context.

This study does not cover either the historical contribution of waqf among the Muslim societies nor does it touch on the empirical aspects of modern waqf. Rather, the focus of the study is limited to analysing the classical jurisprudential rulings of waqf and their distillation process from a Maqāṣid al-Sharī'ah perspective. The study has good implication for modern awqāf, which need to be created, managed and directed in the spirit of Maqāṣid al-Sharī'ah.

The key objective of adopting the maqāṣid framework for the analysis of fiqh al-awqāf in its classical permutations is to learn how to utilise the maqāṣid approach as a baseline for the deduction of new waqf rulings in a contextualised term.

The novelty of the paper lies in its examination of the classical waqf rulings distillation process, and the cogent intersection of Maqāṣid al-Sharī'ah with the principles of fiqh. By delving into the Sharī'ah premises of classical waqf jurisprudence through the lens of maqāṣid, the paper adds an original value and fills an existing gap in the available literature.

The emergent Housing First model, focused on new means of rapid rehousing of the homeless, is popular in North America among policy makers and the mass media. Yet little has been written on the Housing First model's transferability to Canadian municipalities. This report documents, analyses and interprets Toronto's Streets to Homes (S2H) programme, using primary and secondary research including semi‐structured key informant interviews. The report concludes with a brief consideration of the article's implications for leadership.

This study aims to examine the linear and nonlinear remittance–institutional quality link in developing countries.

This study investigates the nonlinear relationship between remittance and political institutional quality in a panel of 97 developing countries using annual data of over nine years from 2009 to 2017. The estimated model uses system generalized method of moments for three political institutions indicators, namely, democracy, political stability and civil liberties.

The results revealed that remittance has a significant inverted U-shape impact on political institution’s indicators. Therefore, before the turning point, remittance is associated with high level of democracy, more stable political system and more civil freedom. While moving after the turning point indicates low level of political institution in the country.

The authors certify that this is the original paper. It has not been previously published and is not currently under submission or in press elsewhere.