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The West Africa coastal area faced with the serious health challenge is the most underdeveloped place. Through making the visualized spatial analysis of this area, this study aims to identify which factor of social vulnerability predominantly affects infant mortality.

This study uses the spatial data available from NASA-affiliated institution and a geographic information system for analysis.

This study reveals that the Poverty and Adaptive Capacity Index, as economic aspect of social vulnerability, is spatially correlated with the infant mortality rate, whereas the Population Exposure Index, as population aspect of social vulnerability, does not. Thus, the economic rather than population factor is probably the driving force of high infant mortality.

This study clarifies the determinant of infant mortality in the West Africa coastal area in space dimension.

A core challenge of assessing regional agricultural drought vulnerability (RADV) is to reveal what vulnerability factors, under which kinds of synergistic combinations and at what strengths, will lead to higher vulnerability: namely, the influence patterns of RADV.

A two-phased grey rough combined model is proposed to identify influence patterns of RADV from a new perspective of learning and mining historical cases. The grey entropy weight clustering with double base points is proposed to assess degrees of RADV. The simplest decision rules that reflect the complex synergistic relationships between RADV and its influencing factors are extracted using the rough set approach.

The results exemplified by China's Henan Province in the years 2008–2016 show higher degrees of RADV in the north and west regions of the province, in comparison with the south and east. In the patterns with higher RADV, the higher proportion of agricultural population appears in all decision rules as a core feature. A smaller quantity of water resources per unit of cultivated land area and a lower adaptive capacity, involving levels of irrigation technology and economic development, present a significant synergistic influence relationship that distinguishes the features of higher vulnerability from those of the lower.

The proposed grey rough combined model not only evaluates temporal dynamics and spatial differences of RADV but also extracts the decision rules between RADV and its influencing factors. The identified influence patterns inspire managerial implications for preventing and reducing agricultural drought through its historical evolution and formation mechanism.

Many experts suggest that the human being explore marine resources and marine new energy sources to alleviate the shortage of land resources and the ecological degradation. However, island coastal zones are considered to be fragile ecosystems; their geographical location and natural characteristics, their biodiversity and associated ecosystems, and their exposure to diverse land and sea conditions all make them highly vulnerable to environmental changes and human activities. Therefore, it is necessary to achieve the goals of environmental protection and sustainable development on the basis of a comprehensive evaluation and understanding of islands.

Due to the importance of island groups, this paper conducts evaluation studies on them. Using the Delphi, AHP and TOPSIS methods, this study evaluated quantitatively the comprehensive development level and comprehensive development potential of island groups in terms of resources, natural environment, economy and society. Innovatively using them as two subsystems, the present study combined the coupling coordination model and the obstacle factor calculation method.

The prospective index of comprehensive development was applied to the Changdao Island Group in Yantai, Shandong Province as an example, and the final evaluation revealed that the comprehensive development prospect of this island group had an upward trend from 2010 to 2017. Future efforts should be made to improve its economic and social conditions and economic development status, apart from promoting its comprehensive development by improving human resources management, increasing the GDP growth rate, and improving fresh water and electricity supply.

This study takes the integrated development level of the island and the integrated development potential of the island as two subsystems, and the innovative application of the coupling coordination degree model is used to calculate the integrated development index of the island to understand the development status of the island area. On the basis of this model, the obstacle factor identification method is designed to identify the main obstacle factors, and on the basis of evaluation and identification, specific measures to ensure the sustainable development of the island area are effectively proposed.

This study contributes to the understanding of the health effects of pesticides exposure and of how pesticides have been and should be regulated.

This study presents literature reviews for the period 2000–2013 on (i) the health effects of pesticides and on (ii) preference valuation of health risks related to pesticides, as well as a discussion of the role of benefit-cost analysis applied to pesticide regulatory measures.

This study indicates that the health literature has focused on individuals with direct exposure to pesticides, i.e. farmers, while the literature on preference valuation has focused on those with indirect exposure, i.e. consumers. The discussion highlights the need to clarify the rationale for regulating pesticides, the role of risk perceptions in benefit-cost analysis, and the importance of inter-disciplinary research in this area.

This study relates findings of different disciplines (health, economics, public policy) regarding pesticides, and identifies gaps for future research.

Undergraduate students have two opposing employment intentions, viz. self-employment intentions and paid-employment intentions (SEIs and PEIs). While a plethora of studies have explored the links between entrepreneurship education (EE) and SEIs, it has been noted that previous studies have ignored the effects of PEIs on the relationship between EE and SEIs. The purpose of this study, therefore, is to empirically explore the effects of PEIs on the relationship between EE and SEIs.

This study adopted a descriptive research design and a self-reported questionnaire was administered to collect data from a randomly selected sample of 95 accounting students from two polytechnics in Nigeria. To test the hypotheses formulated, partial least squares structural equation modelling (PLS-SEM) was performed using SmartPLS.

The results of Model 1 showed that EE had a significantly positive link with SEIs. On the other hand, the analysis of Model 2 revealed an inverse relationship between PEIs and SEIs. Furthermore, it was observed that the impact of EE on SEIs did not only reduce significantly when PEIs was added to Model 1 but also the relationship between EE and SEIs that was erstwhile statistically significant became nonsignificant.

The findings have implications for EE curriculum developers, governments and career guidance counsellors.

To the best of the authors' knowledge, this study is the first to provide empirical evidence of the effects of PEIs on the relationship between EE and SEIs. The findings provide important insights into the fundamental issue, which underlies the problem of graduate unemployment.

The purpose of this paper is to establish a grey cloud incidence clustering model to assess the drought disaster degree under 15 indexes in 18 cities of Henan province.

The grey incidence degree between each index and ideal index is used to determine the index weight and combined with the subjective weight, the comprehensive weight is given; the traditional possibility function is transformed into grey cloud possibility function by using the principle of maximum deviation and maximum entropy, which fully reflects the coexistence of multiple decision-making conclusions and constructs the grey cloud incidence clustering model.

The drought disaster degree of Henan province is divided into four grades under the selected 15 indexes. The drought grades show obvious regional differences. The risk levels of the east and southwest are higher, and the risk levels of the north and southeast are lower. This result is consistent with the study of drought disaster grades in Henan province, which shows the practicability and usefulness of the model.

It provides an effective method for the assessment of drought disaster grade and the basis for formulating disaster prevention and mitigation plan.

By studying the method of multiattribute and multistage decision-making with interval grey number information. The objective weight model of index value is designed, and the subjective weight is given by experts. On the basis of the two, the comprehensive weight of subjective and objective combination is proposed, which effectively weakens the randomness of subjective weight and reasonably reflects the practicality of index decision-making. The time weight reflects the dynamic of the index. The traditional possibility function is transformed into the grey cloud possibility function, which effectively takes advantage of the grey cloud model in dealing with the coexistence of fuzzy information, grey information and random information. Thus, the conflict between the decision-making results and the objective reality is effectively solved. The interval grey number can make full use of the effective information and improve the accuracy of the actual information.

The focus of this study was to evaluate the relationship between research publications in the pesticide field, a country’s gross domestic product (GDP) and GDP per capita. The study aims to analyze pesticide use in association with a country’s population and research publications. The purpose of this study is to uncover the country’s contribution to pesticide research and assess the financial resources allocated to it as a percentage of their GDP by exploring these factors.

The Web of Science database was used to retrieve data for the period of 2001–2020. The use of scientometric indicators allowed for the analysis of the collaborative patterns and active performance of countries in pesticide research. Socio-economic analysis was used to determine the contribution of countries toward pesticide research.

This study demonstrated a strong association (0.952%) between a country’s GDP and its research publications in the field of pesticide research. Countries, such as Denmark, Belgium and Australia, have benefited from global collaboration, which has enhanced their research efforts. Despite ranking lower in pesticide utilization, India focused on pesticide research, as indicated by its high publication/GDP per capita ratio (0.26).

Research on pesticides directly impacts agricultural practices, which, in turn, influence the economic production of the agricultural sector. Changes in pesticide usage can have inference for crop yields, food price and, eventually, the GDP. Comparative analysis can assist in evaluating the efficiency of regulatory policies in balancing ecological concerns with economic interests. Changes in regulations may impact both pesticide usage and economic outcomes.

Fetal alcohol spectrum disorders (FASD) are a group of developmental disabilities related to prenatal alcohol exposure. FASD is a life-long lasting condition with various neurocognitive impairments and deficits in daily-life functioning. Research also indicates that FASD patients have an increased prevalence for substance use, substance related disorders and other psychiatric disorders. In Germany, data on adult FASD patients and their mental health are rare. The purpose of this paper is to describe substance use and comorbid psychiatric disorders (in addition to FASD) and suicide attempts in adult FASD patients.

The German version of the structured “Mini International Neuropsychiatric Interview (MINI)” was administered to a convenience sample of patients attending a specialized FASD diagnostic service at a German university hospital to assess psychiatric disorders. Current and lifetime substance use were examined using sections from the German version of the “European Addiction Severity Index (EUROP-ASI-R)” interview.

In total, 31 adults with FASD were included. Two patients were diagnosed with a substance related disorder, one for alcohol and one for cannabis. Nearly half of all patients fulfilled the diagnostic criteria for mild mental retardation, a further 16 per cent fulfilled the criteria for another current comorbid psychiatric disorder. In total, 26 per cent reported at least one suicide attempt.

Given that the body of research literature on FASD in adulthood is sparse, even a clinical sample of thirty individuals expands knowledge on mental health and substance use in the adult FASD population. The sample was comprehensively assessed using validated structured interviews on mental health, substance use and FASD.