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Food insecurity is a major concern for developing economies. Operational inadequacies get introduced with unorganized interactions among stakeholders in the food supply chain, affecting social, economic, environmental and operational (SEEO) aspects of a nation. This study analyzes India's largest food safety net program, Public Distribution System (PDS) and develops a perception-based model, mapping the root causes (of food insecurity) with possible solutions. The novelty lies in leveraging blockchain in the implementation of food traceability system.

Soft system methodology (SSM) is used to identify and analyze problems in PDS, leveraging the learning and inquiry process. It relies on system thinking and action research to create a defendable and rational model, which helps in proposing recommendations for addressing the problem.

Blockchain-enabled food traceability system increases transparency, thus enabling the fulfillment of basic food necessities for beneficiaries.

The proposed model enables policymakers to build a profound understanding of existing operational issues and provides insightful recommendations for making informed decisions to deal with the grave issue of food insecurity.

Unlike previous studies, this research attempts to understand operational inefficiencies during interactions among stakeholders. It proposes a perception-based conceptual model for the final implementation at the ground level. It also reveals significance of three systems: a delivery system, an enabling system empowering delivery system and a criteria system to control and monitor processes. This study thus bridges an important gap in the literature by proposing a blockchain-driven traceability system, under the control of criteria system, through the integration of system-thinking and action-research approach.

Lead is a well-established environmental contaminant that over the last 50 years has become recognized as a neurotoxin with its greatest concern for the developing child (i.e. both in-utero and postnatally). What is problematic is that children exposed to lead often come from lower socioeconomic status (SES), are largely Black communities and are further at increased risk for developing adverse childhood experiences (ACEs). The literature on ACEs had focused much on trauma, single parenting, child abuse, lack of finances and stress, etc., but has not considered the intersectionality of these ACEs as risk factors within environmental neurotoxic exposures such as lead poisoning. This is important as most low SES communities are Black. In particular, within the New York City Housing Authority (NYCHA), Black families have been neglected of proper lead-abatement to their apartments for nearly 70 years.

This is a viewpoint/perspective paper that examines the lived experiences of Black folxs in NYCHA through a Black critical theory (BlackCrit) and antiblackness framework pertaining to ACEs, and lead poisoning within the NYCHA system of New York City. This perspective paper draws upon the last three years of news reports, five decades of publicly available data sets from NYCHA and the comptroller to raise an awareness of how Black children are treated by NYCHA generation after generation which can be argued as a mass atrocity against NYCHA residents. Furthermore, the systematic and institutionalized racism and environmental injustices by NYCHA and the state can also be considered as a crime against humanity. As such, BlackCrit could help to position awareness, advocacy and knowledge about Black folxs residing in NYCHA to achieve fair, safe and affordable public housing to experience Black joy across future generations.

Thus, rather than civic and state government response efforts focusing their full attention and resources to serving and supporting individuals affected by ACEs they should equally consider the environments in which Black people live and also allocate funds proportionally to address these areas often overlooked. Moreover, proportions of these funds should be redirected especially to lead-abatement and removal of known sources of lead exposures, evaluation of suspected sources of lead exposures (i.e. drinking water, baby food and formula, children’s juice and cereal products, superfund and other waste sites, electronic recycling plants, etc.) and accompanied by all affected children undergoing full and comprehensive neuropsychological testing and follow up studies paid for by the state. The goal should have two fundamental objectives: (1) accepting accountability for failing to address these preventable neuropsychological issues directly affecting Black children generation after generation and (2) offering the proper waived or reimbursable supports and resources to help Black children sustain the best quality of life (QOL) trajectory possible when diagnosed with lead poisoning.

The manuscript is a viewpoint/perspective paper grounded in BlackCrit and an antiblackness framework. There are ample public news reports and public data available from NYCHA on these matters over the last three years. However, the scope of this paper was not to delve too deep into these numbers per se, but rather to address the concerns leading up to and arguably contributing to, at least in part, to these numbers of lead-exposed Black children in NYCHA. Lead poisoning has never been considered as an ACE and its relationship to mass atrocity research is novel which may pave a new avenue for research of this kind through the utility of BlackCrit and antiblackness framework to support and advocate for change so that Black children can be provided with a basic human right of safe housing and experience Black joy.

BlackCrit has not been used in the context of lead poisoning research. Mostly individuals and families of middle- and low-income have been studied in the context of poverty and lead poisoning. However, many people who live in poverty, in public housing, within New York are Black. Thus, Black children are generation after generation exposed to unaddressed lead-abatement and it appears that now more than ever BlackCrit should become the framework for how this work should be discussed in the literature to raise awareness to state governments regarding Black folx's persistent lead poisoning, NYCHA's neglect and mass atrocity research as a long overdue advocacy effort to bring the necessary voice, authentic narrative, and actual knowledge of the lived experiences of Black families in NYCHA with lead poisoning.

The goal of this viewpoint/perspective paper should have two fundamental objectives (1) NYCHA and New York State accepting accountability for failing to address these preventable lead poisoning issues directly affecting Black children; and (2) offering the proper support and resources to help Black children sustain the best QOL trajectory possible when diagnosed with lead poisoning.

Lead poisoning research has never been approached through a mass atrocity and BlackCrit framework and perspective. This is the first report on bridging these fields within the context of NYCHA public housing neglect of lead-abatement and continued poisoning of current and future generations of Black children. This failure of NYCHA lead-abatement contributes annually to economic loss in New York State for many years to come which could be entirely avoided.

This study aims to explore the smallholder farmers’ perceptions of climate change and its adaptation options (changing crop variety; improved crop and livestock; soil and water conservation [SWC]; and irrigation practices) and drought indices in the Dire Dawa Administration Zone, Eastern Ethiopia.

A cross-sectional household survey was used. A structured interview schedule for respondent households for key informants and focus group discussions were used. This study used both descriptive statistics and an econometric model. The model was used to compute the determinants of climate adaptation options in the study area. Drought characterization was carried out by DrinC software.

The results revealed households adapted to selected adaptation options. The model results confirmed that education level, farm size, tropical livestock units (TLUs) and access to agricultural extension services have positive and significant impacts on changing crop variety by 0.0014%, 0.045%, 0.032% and 0.035%, respectively. The likelihood of farmers’ decisions to use adaptation strategies (family size, TLU, agricultural extension service and distance from the market) has positive and significant impacts on SWC. The reconnaissance drought index (RDI6) of ONDJFM and AMJJAS showed extreme and severe drought index values of −2.88 and −1.96, respectively.

This study used a locally adopted climate change adaptation intervention for smallholder farmers, revealing the importance of drought characterization indices both seasonally and annually.

We conducted a systematic review to explore the potential for the application of blockchain technologies for supply chain resilience in a small-scale agri-food business context.

As part of the research methodology, scientific databases such as Web of Science, Google Scholar and Scopus were used to find relevant articles for this review.

The systematic review of articles (n = 57) found that the use of blockchain technology in the small-scale agri-food business sector can reduce the risk of food fraud by assuring the provenance of food products.

Only a few papers were directly from a small-scale agribusiness context. Key challenges that limit the implementation of blockchain and other distributed ledger technologies include concerns over the disclosure of proprietary information and trade secrets, incomplete or inaccurate information, economic and technical difficulties, low levels of trust in the technology, risk of human error and poor governance of process-related issues.

The application of blockchain technology ensures that the risks and costs associated with non-compliance, product recalls and product loss are reduced. Improved communication and information sharing can increase resilience and better support provenance claims and traceability. Better customer relationships can be built, increasing supply chain efficiency and resilience.

Despite the susceptibility of cotton crops to pest attacks in the Malwa Region of Indian Punjab, no crop insurance policy has been implemented there– not even the Pradhan Mantri Fasal Bima Yojana (PMFBY), which is a central scheme. Therefore, this paper attempts to gauge the likely impact of the PMFBY on Punjab cotton farmers and assess the changes needed for greater uptake and effectiveness of PMFBY.

The authors have conducted a primary survey to conduct this study. Initially, the authors compared the costs of cotton production with the returns in two scenarios (with and without insurance). Additionally, the authors have applied a logistic regression framework to examine the determinants of the willingness of farmers to participate in the crop insurance market.

The study finds that net returns of cotton crops are conventionally small and insufficient to cope with damages from crop failure. Yet, PMFBY will require some modifications in the premium rate and the level of indemnity for its greater uptake among Punjab cotton farmers. Additionally, using the logistic regression framework, the authors find that an increase in awareness about crop insurance and farmers' perceptions about their crop failure in the near future reduces the willingness of the farmers to participate in the crop insurance markets.

The present study looks for the viability of PMFBY in Indian Punjab for the cotton crop, which can also be extended to other crops.

Punjab could also use crop insurance to encourage diversification in agriculture. There is a need for special packages for diversified crops under any crop insurance policy. Crops susceptible to volatility due to climate-related factors should be identified and provided with a special insurance package.

There exist very scant studies that have discussed the viability of a central crop insurance scheme in the agricultural-rich state of India, i.e. Punjab. Moreover, they do not also focus on crop losses accruing due to pest and insect attacks.

Digital influencers, besides being a personal branding phenomenon, constitute, nowadays, important partners for brands in the digital environment. Despite the benefits for both parties, the brand and the endorser, there is a risk when the individuals or the brand take part in some scandal or questionable activity, which causes a loss of credibility and reputation. The contagious effect of personal or corporate brand crisis with the partners is well reported in the literature. However, there are no studies about such occurrence in the digital environment, considering that the phenomenon of digital influence has some particularities differing from traditional celebrity endorsement. This chapter focuses on the research of the consequences of a change in the credibility of influencers or brands, after the occurrence of a negative situation, and the way in which this change affects the two parties involved, the brand and the influencer. We conducted a netnographic study of the social media pages of three digital influencers and the social media pages of a recognized fast fashion brand recognized in the digital world. We analyzed 1500 social media comments from their audiences and found that influencers suffer from a loss in sympathy and credibility by scandals while crisis communication strategies in corporate brands can prevent such damages. Strategic implications for brand managers and digital influencers managing their endorsements are addressed in the discussion.

Across the USA, local municipalities and providers struggle to reliably supply water and electricity when faced with severe weather events induced by climate change. Previous research suggests those at higher risk for experiencing the detrimental effects of climate change have higher climate-related concerns. Additionally, research demonstrates variation in trust in institutions and perceptions of environmental justice along racial lines, which can influence concern for access to resources. Informed by this research, the authors ask two questions: how do Oklahomans’ trust in institutions, environmental justice perceptions and global climate change risk perceptions differ based on race, and how do these factors influence concern for water and electrical infrastructure? The purpose of this study is to better understand Oklahomans’ trust in information from institutions, environmental justice perceptions, global climate change risk perceptions and concern for water and electrical infrastructure.

This study uses a series of nested regression models to analyze the survey responses of 2,687 Oklahoman adults. The data were pulled from Wave 3 of the Oklahoma Meso-scale Integrated Socio-geographic Network survey, which is part of the National Science Foundation EPSCoR S3OK project.

The findings demonstrate the complex interplay of riskscapes – or risk landscapes – that encompass institutional trust, perceptions of environmental justice, climate change and infrastructure in Oklahoma. The authors find evidence that education and income are better predictors of institutional trust and environmental justice than race among our respondents. Political ideology emerges as a significant predictor across all hypotheses.

This study contributes to the understanding of complex dynamics involving race, perceptions of environmental justice, trust in information from institutions, risk perceptions of climate change and concerns for water and electrical infrastructure in Oklahoma.

This study aims to discuss climate change, by modifying the timing of several agricultural operations, reduce the efficiency and yield of inputs leading to a lower production level. The reduction of the effects of climate change on production yields and on farmers' technical efficiency (TE) requires the adoption of adaptation strategies. This paper analyses the impact of climate change adaptation strategies adopted on maize farmers' TE in Benin.

This paper uses an endogeneity-corrected stochastic production frontier approach based on data randomly collected from 354 farmers located in three different agro-ecological zones of Benin.

Estimation results revealed that the adoption of adaptation strategies improve maize farmers' TE by 1.28%. Therefore, polices to improve farmers' access to climate change adaptation strategies are necessarily for the improvement of farmers' TE and yield.

The results of this study contribute to the policy debate on the enhancement of food security by increasing farmers' TE through easy access to climate change adaptation strategies. The improvement of farmers' TE will in turn improve the livelihoods of the communities and therefore contribute to the achievement of Sustainable Development Goals 1, 2 and 13.

This study contributes to theoretical and empirical debate on the relationship between adaptation to climate change and farmers' TE. It also adapts a new methodology (endogeneity-corrected stochastic production frontier approach) to correct the endogeneity problem due to the farmers' adaptation decision.

The purpose of this study is to examine the state of research into adoption of machine learning systems within the health sector, to identify themes that have been studied and observe the important gaps in the literature that can inform a research agenda going forward.

A systematic literature strategy was utilized to identify and analyze scientific papers between 2012 and 2022. A total of 28 articles were identified and reviewed.

The outcomes reveal that while advances in machine learning have the potential to improve service access and delivery, there have been sporadic growth of literature in this area which is perhaps surprising given the immense potential of machine learning within the health sector. The findings further reveal that themes such as recordkeeping, drugs development and streamlining of treatment have primarily been focused on by the majority of authors in this area.

The search was limited to journal articles published in English, resulting in the exclusion of studies disseminated through alternative channels, such as conferences, and those published in languages other than English. Considering that scholars in developing nations may encounter less difficulty in disseminating their work through alternative channels and that numerous emerging nations employ languages other than English, it is plausible that certain research has been overlooked in the present investigation.

This review provides insights into future research avenues for theory, content and context on adoption of machine learning within the health sector.