Mismanaged plastic waste and the environmental Kuznets curve: A quantile regression analysis.

The relationship between economic growth, governance, and environmental outcomes, particularly mismanaged plastic waste (MPW) leaking out to the ocean, has been a focal point of policy and academic debates. This study aims to understand the dynamics of income and control of corruption across different levels of MPW. Utilizing Quantile Regression models, we explore the generalized and quantile-specific relationships between the variables. The findings confirm the validity of the Environmental Kuznets Curve (EKC), revealing an initial increase in MPW with economic growth, followed by a decline after surpassing a specific economic threshold. However, the EKC is not validated for all quantiles and the shifting point may vary across the distribution. Moreover, control of corruption emerged as a significant factor in determining MPW levels, emphasizing its moderating role at the highest levels of mismanagement. This study underscores the need for synergizing economic strategies with robust environmental policies, guided by strong governance mechanisms.

Collective action against corruption in Western and non-Western countries: cross-cultural implications of the Axiological-Identitary Collective Action Model.

People sometimes protest government corruption, yet our current understanding of why they do so is culturally constrained. Can we separate pancultural factors influencing people's willingness to protest government corruption from factors culturally specific to each socioecological context? Surprisingly little cross-cultural data exist on this important question. To fill this gap, we performed a cross-cultural test of the Axiological-Identitary Collective Action Model (AICAM) regarding the intention to protest against corruption. As a collective action framework, AICAM integrates three classical antecedents of collective action (injustice, efficacy, identity) with axiological variables (ideology and morality). A total sample of 2,316 participants from six countries (Nigeria, Russia, India, Spain, United States, Germany) in a multilevel analysis of AICAM predictions showed that the positive relationship of the intention to protest corruption with moral obligation, system-based anger, and national identification can be considered pancultural. In contrast, the relationships between system justification and perceived efficacy are culturally specific. System justification negatively predicted the intention to participate only in countries with high levels of wealth, while perceived efficacy positively predicted it only in countries perceived as less corrupt. These findings highlight the importance of accounting features of socioecology and separating pancultural from culture-specific effects in understanding collective action.

Utilizing data platform management to implement "5W" analysis framework for preventing and controlling corruption in grassroots government.

In the era of information technology advancement, big data analysis has emerged as a crucial tool for government governance. Despite this, corruption remains a challenge at the grass-roots level, primarily attributed to information asymmetry. To enhance the efficacy of corruption prevention and control in grass-roots government, this study introduces the concept of data platform management and integrates it with the "5W" (Who, What, When, Where, Why) analysis framework. The research is motivated by the observation that existing studies on corruption prevention primarily concentrate on the formulation of laws and regulations, neglecting the potential improvement in actual effectiveness through the utilization of data platforms and analytical frameworks. The research employs methodologies grounded in the Strengths, Weaknesses, Opportunities, Threats (SWOT) analysis framework, the Plan, Do, Check, Act (PDCA) cycle analysis framework, and the 5W analysis framework. Throughout the iterative process of implementing data platform management, various timeframes are established, and the impact of the three models is evaluated using indicators such as public participation and government satisfaction. The research reveals that the SWOT framework can formulate targeted strategies, the PDCA framework continuously optimizes work processes, and the 5W framework profoundly explores the root causes of corruption. The outcomes indicate a 10.76% increase in the public participation level score with the 5W model, rising from 71.67%, and a 23.24% increase in the governance efficiency score, reaching 66.12%. The SWOT model excels in case handling prescription and corruption reporting rate. The synergistic application of the three models demonstrates a positive impact. In conclusion, the amalgamation of data platform management and a multi-model approach effectively enhances the corruption prevention capabilities of grass-roots governments, offering insights for the establishment of transparent and efficient grass-roots governance.

La corrupción de la beneficencia en los debates parlamentarios del Trienio Liberal en España (1820-1823) / A corrupção das instituições de caridade nos debates parlamentares do Triênio Liberal na Espanha (1820-1823) / The corruption of charities in the parlamentary debates of the Liberal Triennium in Spain (1820-1823)

Una de las principales novedades del debate parlamentariode la ley de beneficencia en el Trienio Liberal radicó en lasdelaciones de irregularidades en la gestión de este tipo deestablecimientos. La meta principal de este estudio es analizardichas denuncias sobre la base de una triple diferenciación:las que apuntan a las irregularidades debidas a una malagestión de los recursos económicos, las que se refieren ala administración concejil y las que tienen que ver con ladejadez de quienes cuidaban a los menesterosos en talescasas. Los debates parlamentarios del Trienio liberal en laLey de Beneficencia se constituyen como fuente principaldel estudio. Metodológicamente se aborda el análisis de lasintervenciones de los diputados que participaron en la elaboraciónde dicha normativa. Lo extraño en esta época no eran estasirregularidades, asumidas como algo natural, sino el hechode que fueran denunciadas por los parlamentarios, pues elloevidencia un cambio sustancial en cuanto a la voluntad decontrolar la gestión económica de estos establecimientos,así como la responsabilidad de los cuidadores.(AU)

One of the main novelties in the parliamentary debate ofthe Charities Act during the Liberal Triennium consisted indenouncing the irregularities committed in such establishments.The main goal of this work is to analyse those denouncesaccording to a triple differentiation: those regarding anirregular management of the economic resources; thoseconcerning the council management; and those relating to ill-treatment in the charity houses. The parliamentary debatesof the Liberal Triennium in the Charity Law constitute themain source of the study. Methodologically, the analysis ofthe interventions of the deputies who participated in theelaboration of said regulations is addressed. Being assumed asnatural, such irregularities had never been denounced beforeby the Members of Parliament, which evidences a substantialchange in the will of controlling the economic managementof such establishments, as well as the caretakers’ behaviour.(AU)

Uma das principais novidades do debate parlamentar sobrea lei da caridade no Triênio Liberal foram os relatos deirregularidades na gestão desse tipo de estabelecimento. Oobjetivo principal deste estudo é analisar essas denúncias a partirde uma tripla diferenciação: as que apontam irregularidadespor má gestão dos recursos econômicos, as que se referemà gestão do conselho e as que dizem respeito ao descaso dequem cuidava dos necessitados em tais casas. Os debatesparlamentares do Triênio Liberal na Lei da Caridade constituema principal fonte do estudo. Metodologicamente, aborda-se aanálise das intervenções dos deputados que participaram daelaboração do referido regulamento. O estranho nessa épocanão foram essas irregularidades, presumidas como naturais,mas o fato de terem sido denunciadas por parlamentares, poisisso mostra uma mudança substancial em termos da vontadede controlar a gestão econômica desses estabelecimentos,bem como do cuidadores de responsabilidade.(AU)

Civil service organization as a political determinant of health: Analyzing relationships between merit-based hiring, corruption, and population health.

A growing literature finds that the way governments are organized can impact the societies they serve in important ways. The same is apparent with respect to civil service organizations. Numerous studies show that the recruitment of civil servants based on their credentials rather than on nepotism or patronage reduces corruption in government. Political corruption in turn appears to harm population health. Up to this time, however, civil service organization is not a recognized determinant of health and is little discussed outside of political science disciplines. To provoke a broader conversation on this subject, the following study proposes that meritocratic recruitment of civil servants improves population health. To test this proposition, a series of regression models examines comparative data for 118 countries. Consistent with study hypotheses, meritocratic recruitment of civil servants corresponds longitudinally with both lower rates of corruption and lower rates of infant mortality. Results are similar after robustness checks. Findings with regard to life expectancy are more mixed. However, additional tests suggest meritocratic recruitment contributes to life expectancy over a longer span of time. Findings also offer more support for a direct pathway from meritocratic recruitment to population health rather than via changes in corruption levels per se, although this may depend on a country's level of economic development. Overall, this study offers first evidence that civil service organization, particularly the recruitment of civil servants based on the merits of their applications rather than on whom they happen to know in government, is a positive determinant of health. More research in this area is needed.

A reasoned action approach to understanding anti-corruption intentions among MBA (accounting) students in Ghana.

Drawing on the reasoned action approach theory, the study aimed to examine the logical pattern involved in the development and manifestation of anti-corruption (ethical) intentions among accounting students. Data were collected from 447 Master of Business Administration (MBA) (Accounting) students in Ghana, using an explanatory correlational design and a simple random sampling technique. The results indicated that the ethical attitude of MBA (Accounting) students is primarily influenced by mimetic, coercive beliefs, and religiosity, with normative belief showing no significant contribution to shaping ethical attitudes. The findings imply that ethical attitude in accounting serves as a pertinent precursor to the anti-corruption intentions of MBA (Accounting) students. The study recommends that institutions should allow accounting students to uphold their religious values, and that efforts to enhance ethical accounting attitudes should be promoted to foster anti-corruption behaviours among accounting students.

Mental health problems, interpersonal trust, and socio-cultural correlates of corruption perception in Ghana.

Introduction: This study examines the overall levels and effects of corruption perception on mental health while controlling for the effect of interpersonal trust as a routine covariate in studies of corruption. Methods: Participants (N = 730; 60.8% Men; Mean age = 22.13, SD = 3.66) were invited to answer a cross-sectional survey. Group mean difference tests and network analysis were performed. Results: Women, urban dwellers, and those who showed moderate religiosity, and lower nationality reported the highest levels of corruption perception, but the effect on mental health problems was stronger for higher religiosity. The perception that politicians and government officials are corrupt emerged as the most influential to link other corruption perceptions (e.g., state institutions are corrupt). Witnessing corruption among state institutions and government officials and the perception that the rich in society can influence any state institutions and actors showed the strongest and broadest links to depression and anxiety symptoms. Discussion: The findings suggest that there may be substantial effect of corruption on mental health problems than trust in interpersonal relationships. The relatively high poverty rate in Ghana may explain why those who do not have the financial means or personal connections to meet the demands of bribery and corruption experience a sense of helplessness associated with mental health problems when they perceive that the rich in society can influence state institutions and actors for personal gains. Furthermore, the tendency to remain silent to protect others from being exposed in corruption in order to maintain relationships, or to expose them to ruin relationships, or conform to a culture of corruption either in solidarity or fear of victimisation, may create a psychological burden that may be associated with mental health problems. The implications for reconceptualising corruption as a key social determinant of public mental health are discussed.

Corruption and hierarchy: a replication of studies 1c and 6 of Fath & Kay 2018.

Corruption represents a complex problem firmly embedded within our societal structures, governments, and organizations. The current study aimed to build a clearer consensus on the extent to which perceptions of organizational corruption are associated with organizational hierarchy. Two high-powered close replications of studies 1c and 6 by Fath and Kay provide further evidence for the claim that taller organizational structures are associated with greater perceived potential for corruption, and that these perceptions may compromise subsequent trust-related outcomes. Our results reinforce the importance of organizational design and aim to inspire future works to consider the ways in which researchers and organizations can minimize corruption. Preregistration, data and materials can be found on the OSF: https://osf.io/zb5j2.

How informal environmental regulations constrain carbon dioxide emissions under pollution control and carbon reduction: Evidence from China.

Exploring whether informal environmental regulations (INER) can achieve carbon reduction in the context of pollution reduction and carbon reduction, as well as how to achieve carbon reduction, can help solve the dual failures of the market and government in environmental protection. Based on the polycentric governance theory and considering the characteristics of social subject environmental participation, the Stackelberg game is used to demonstrate the impact mechanism of INER on CO2. In addition, using the panel data of China's 30 provinces from 2003 to 2018, this paper validates the effectiveness of INER by Pooled Ordinary Least Square (POLS) and threshold panel model. Then, the mediating effect model is used to test the mechanism of INER's effect on carbon reduction. The results show that corruption is not conducive to CO2 reduction. The reduction effect of INER on CO2 exhibits heterogeneity with changes in other non-greenhouse gas pollutants. While INER effectively reduces local corruption, its more substantial indirect impact on CO2 reduction is prominent when levels of other pollutants are lower. Comparative analysis reveals that there are still biased governance behaviors to cope with INER's pressure in some regions nowadays. The findings show that for countries facing the dual task of pollution control and carbon reduction, the key to leveraging the supervisory role of INER should be focused on mitigating information asymmetry caused by the characteristics of CO2. Therefore, in the process of environmental protection, the public environmental participation system should be improved, and the process of disclosing polluters' carbon information should be accelerated.

Implications of absenteeism of health workers on achieving universal health coverage in Nigeria: exploring lived experiences in primary healthcare.

Primary healthcare facilities are the bedrock for achieving universal health coverage (UHC) because of their closeness to the grassroots and provision of healthcare at low cost. Unfortunately, in Nigeria, the access and quality of health services in public primary healthcare centres (PHCs) are suboptimal, linked with persistent occurrence of absenteeism of health workers. We used a UHC framework developed by the World Health Organization-African Region to examine the link between absenteeism and the possible achievement of UHC in Nigeria. We undertook a qualitative study to elicit lived experiences of healthcare providers, service users, chairpersons of committees of the health facilities, and policymakers across six PHCs from six local government areas in Enugu, southeast Nigeria. One hundred and fifty participants sourced from the four groups were either interviewed or participated in group discussions. The World Health Organization-African Region UHC framework and phenomenological approach were used to frame data analysis. Absenteeism was very prevalent in the PHCs, where it constrained the possible contribution of PHCs to the achievement of UHC. The four indicators toward achievement of UHC, which are demand, access, quality, and resilience of health services, were all grossly affected by absenteeism. Absenteeism also weakened public trust in PHCs, resulting in an increase in patronage of both informal and private health providers, with negative effects on quality and cost of care. It is important that great attention is paid to both availability and productivity of human resources for health at the PHC level. These factors would help in reversing the dangers of absenteeism in primary healthcare and strengthening Nigeria's aspirations of achieving UHC.

Characterizing the role of informal payments in the delivery of pathology and clinical laboratory services.

OBJECTIVES: Informal payments (IPs) are unofficial cash or in-kind payments for goods or services that should be covered by the health care system. They are a common but regressive method of financing health care in low- and lower-middle-income countries (LMICs). This study aims to characterize the prevalence and impact of IPs on pathology and laboratory medicine (PALM) services. METHODS: From September 2021 to September 2022, PALM staff were surveyed about the frequency, determinants, and impacts of IPs in their respective workplaces. RESULTS: In total, 268 responses were received, and 46.6% (125/268) reported experience with IPs. These 125 participants were more likely to work in the public sector and in LMICs. Approximately 65% reported accepting IPs to perform tests or release results. Obtaining faster results was the most commonly perceived reason for patients offering IPs. Overall, participants reported that IPs had more negative than positive impacts on their workplace. CONCLUSIONS: This represents a first step in characterizing IPs within PALM and how this practice may affect access to these services in LMICs. Specifically, the fact that faster turnaround time was the most frequently perceived reason for offering IPs uncovers a potential barrier to improving PALM capacity in these regions.

Dispositional awe negatively predicts corruption via the sense of connectedness.

Corruption is a political and economic issue that has a detrimental impact on social and economic development. This study investigated the predictive effect of dispositional awe on corruption, and the underlying mechanisms from the perspective of connectedness. A sample of 548 (Nfemale = 371) individuals, aged between 16 and 71 years old (M = 21.18, SD = 3.39), was collected. Participants completed scales to measure dispositional awe, the sense of connectedness, corruption, and social desirability. Structural equation modelling and a bootstrap procedure were used to analyze the relationship between the variables. Results showed that dispositional awe negatively predicted corruption, including the tendencies for giving and accepting bribes, and this could be explained by the sense of connectedness, after controlling for the effect of social desirability. The findings highlight the significance of dispositional awe in relation to corruption, enhance our understanding of the underlying mechanisms connecting the two variables, and provide practical implications for the prevention of corruption.

Cognizance and mitigation of falsified immunization documentation: Analyzing the consequences for public health in Nigeria, with a focus on counterfeited COVID-19 vaccination cards: A case report.

Background and Aims: The global immunization campaign against COVID-19 has mandated vaccination certificates, leading to a surge in fake documentation. In Nigeria, the proliferation of counterfeit COVID-19 vaccination cards, facilitated by unscrupulous health workers, raises critical public health concerns. This research spotlights various forms of this malpractice, analyzes the factors contributing to the circulation of fake vaccination cards, their implications on public health, and provides recommendations for addressing the issue. Methods: Extensive literature review and analysis were conducted to investigate the emergence of fake COVID-19 vaccination cards in Nigeria. Perspectives from health workers and reports from reputable undercover investigations were examined to identify factors contributing to the circulation of fraudulent records. The research also delved into corruption within the health sector and the impact of low salaries on healthcare workers. Additionally, global instances of fake vaccination cards were explored to provide a comprehensive understanding of the issue. Results: Healthcare workers' vaccine hesitancy, corruption, and inadequate salaries were identified as key contributors to the circulation of fake vaccination cards in Nigeria. Instances of health workers accepting bribes to issue cards without administering vaccines were uncovered. The implications on public health included threats to herd immunity, compromised disease surveillance, erosion of public trust, and reinforcement of vaccine hesitancy. The research also highlighted global challenges with fake vaccination cards, emphasizing the need for international cooperation. Conclusion: Fake vaccination cards in Nigeria poses challenges to public health, affecting the reliability of immunization data and jeopardizing disease control efforts. It is crucial to strengthen healthcare worker engagement, tackle corruption through increased transparency and improved policies, and implement digital vaccination verification systems. International collaboration is essential to establish standardized security measures and verification checkpoints. Addressing flawed vaccination records requires urgent action to enhance vaccination efforts, and safeguard the population from the resurgence of vaccine-preventable diseases.

Corruption depth: Analysis of DNN depth for misclassification.

Many large and complex deep neural networks have been shown to provide higher performance on various computer vision tasks. However, very little is known about the relationship between the complexity of the input data along with the type of noise and the depth needed for correct classification. Existing studies do not address the issue of common corruptions adequately, especially in understanding what impact these corruptions leave on the individual part of a deep neural network. Therefore, we can safely assume that the classification (or misclassification) might be happening at a particular layer(s) of a network that accumulates to draw a final correct or incorrect prediction. In this paper, we introduce a novel concept of corruption depth, which identifies the location of the network layer/depth until the misclassification persists. We assert that the identification of such layers will help in better designing the network by pruning certain layers in comparison to the purification of the entire network which is computationally heavy. Through our extensive experiments, we present a coherent study to understand the processing of examples through the network. Our approach also illustrates different philosophies of example memorization and a one-dimensional view of sample or query difficulty. We believe that the understanding of the corruption depth can open a new dimension of model explainability and model compression, where in place of just visualizing the attention map, the classification progress can be seen throughout the network.

El corporativismo médico en el cine / Medical corporatism in cinema

Realizamos una búsqueda sistemática de películas utilizando los términos corporativismo y medicina en sitios web especializados sin importar la duración, nacionalidad, género o año de producción. Excluimos las películas animadas y series de television. Tras visionar 24 películas, seleccionamos seis de ellas buscando que fueran films de calidad, que no fueran muy conocidos y que el corporativismo formara parte importante del guion. En todos ellos y en diferentes formatos (comedia, drama, …) el corporativismo se presenta como una forma de corrupción en la que pueden caer los médicos, teniendo estos que anteponer siempre la salud del paciente y no sus intereses y prebendas. El análisis y comentario de todas estas películas puede ser de gran utilidad para la enseñanza de las ciencias de la salud, ayudando a evitar situaciones indeseables que tengan como responsable al corporativismo.(AU)

We carry out a systematic search for films on specialized websites regardless of duration, nationality, genre or year of production. The exclusion criteria were: animated films and television series. After viewing 24 films, we selected six of them looking for quality films, not very well-known and for corporatism to form an important part of the script. In all of them and in different formats (comedy, drama, …) corporatism is presented as a form of corruption that doctors can fall into, having to always put the patient's health first and not his interests and perks. The analysis and commentary of all these films can be very useful for the teaching of health sciences, helping to avoid undesirable situations that have corporatism as responsible.(AU)

AI-based motion artifact severity estimation in undersampled MRI allowing for selection of appropriate reconstruction models.

BACKGROUND: Magnetic Resonance acquisition is a time consuming process, making it susceptible to patient motion during scanning. Even motion in the order of a millimeter can introduce severe blurring and ghosting artifacts, potentially necessitating re-acquisition. Magnetic Resonance Imaging (MRI) can be accelerated by acquiring only a fraction of k-space, combined with advanced reconstruction techniques leveraging coil sensitivity profiles and prior knowledge. Artificial intelligence (AI)-based reconstruction techniques have recently been popularized, but generally assume an ideal setting without intra-scan motion. PURPOSE: To retrospectively detect and quantify the severity of motion artifacts in undersampled MRI data. This may prove valuable as a safety mechanism for AI-based approaches, provide useful information to the reconstruction method, or prompt for re-acquisition while the patient is still in the scanner. METHODS: We developed a deep learning approach that detects and quantifies motion artifacts in undersampled brain MRI. We demonstrate that synthetically motion-corrupted data can be leveraged to train the convolutional neural network (CNN)-based motion artifact estimator, generalizing well to real-world data. Additionally, we leverage the motion artifact estimator by using it as a selector for a motion-robust reconstruction model in case a considerable amount of motion was detected, and a high data consistency model otherwise. RESULTS: Training and validation were performed on 4387 and 1304 synthetically motion-corrupted images and their uncorrupted counterparts, respectively. Testing was performed on undersampled in vivo motion-corrupted data from 28 volunteers, where our model distinguished head motion from motion-free scans with 91% and 96% accuracy when trained on synthetic and on real data, respectively. It predicted a manually defined quality label ('Good', 'Medium' or 'Bad' quality) correctly in 76% and 85% of the time when trained on synthetic and real data, respectively. When used as a selector it selected the appropriate reconstruction network 93% of the time, achieving near optimal SSIM values. CONCLUSIONS: The proposed method quantified motion artifact severity in undersampled MRI data with high accuracy, enabling real-time motion artifact detection that can help improve the safety and quality of AI-based reconstructions.

Development of an Effective Corruption-Related Scenario-Based Testing Approach for Robustness Verification and Enhancement of Perception Systems in Autonomous Driving.

Given that sensor-based perception systems are utilized in autonomous vehicle applications, it is essential to validate such systems to ensure their robustness before they are deployed. In this study, we propose a comprehensive simulation-based process to verify and enhance the robustness of sensor-based perception systems in relation to corruption. Firstly, we introduce a methodology and scenario-based corruption generation tool for creating a variety of simulated test scenarios. These scenarios can effectively mimic real-world traffic environments, with a focus on corruption types that are related to safety concerns. An effective corruption similarity filtering algorithm is then proposed to eliminate corruption types with high similarity and identify representative corruption types that encompass all considered corruption types. As a result, we can create efficient test scenarios for corruption-related robustness with reduced testing time and comprehensive scenario coverage. Subsequently, we conduct vulnerability analysis on object detection models to identify weaknesses and create an effective training dataset for enhancing model vulnerability. This improves the object detection models' tolerance to weather and noise-related corruptions, ultimately enhancing the robustness of the perception system. We use case studies to demonstrate the feasibility and effectiveness of the proposed procedures for verifying and enhancing robustness. Furthermore, we investigate the impact of various "similarity overlap threshold" parameter settings on scenario coverage, effectiveness, scenario complexity (size of training and testing datasets), and time costs.

COVID-19 pandemic in Bangladesh: A scoping review of governance issues affecting response in public sector.

Background: On January 30, 2020, WHO declared COVID-19 as a Global Public Health Emergency. The first three COVID-19 cases in Bangladesh were confirmed on March 8, 2020. Thus, Bangladesh got substantial time to prepare the people and the health systems to respond to the outbreak However, neither the health ministry nor the government was found to rise to the occasion and provide the necessary stewardship for a coordinated and comprehensive response. Objective: The importance of governance to mount an evidence-based pandemic response cannot be overemphasised. This study presents critical reflections on the Bangladesh government's COVID-19 response through a review of selected papers, with expert deliberations on the review findings to consolidate emerging lessons for future pandemic preparedness. Study design: A scoping review approach was taken for this study. Methods: Documents focusing on COVID-19 governance were selected from a repository of peer-reviewed articles published by researchers using data from Bangladesh (n = 11). Results: Findings reveal Bangladesh's COVID-19 response to be delayed, slow, and ambiguous, reflecting poorly on its governance. Lack of governance capability in screening for COVID-19, instituting quarantine and lockdown measures in the early weeks, safety and security of frontline healthcare providers, timely and equitable COVID-19 testing, and logistics and procurement were phenomenal. The pandemic unmasked the weaknesses of the health system in this regard and "created new opportunities for corruption." The failure to harmonise coordination among the government's different agencies for the COVID-19 response, along with poor risk communication, which was not culture-sensitive and context-specific. Over time, the government initiated necessary actions to mitigate the pandemic's impact on the lives and livelihoods of the people. Diagnostic and case management services gained strength after some initial faltering; however, the stewardship functions were not seamless. Conclusions: Shortage of healthcare workers, incapability of health facilities to cater to COVID-19 suspects and cases, absence of health system resilience, and corruption in procurement and purchases were limited the government's COVID-19 response. These need urgent attention from policymakers to better prepare for the next epidemic/pandemic.

Risk management for second-hand clothing imports in least developed countries: Legislations and perception of public-sector corruption.

The second-hand clothing imports are very popular in the least developed countries (LDCs). The social health risk (SHR) associated with second-hand clothing products and the lack of relevant legislations in LDCs, however, bring substantial challenges. This article is therefore developed to explore the sterilization legislation design for second-hand clothing supply chains in LDCs. To address LDCs' different import requirements of fumigation, both the extended exporter responsibility (EER) legislation scheme and the extended importer responsibility (EIR) legislation scheme are considered. We also examine whether the perception of public-sector corruption in LDCs may affect the performance of sterilization legislation schemes. We compare the performance of sterilization legislation schemes under different public-sector corruption cases, different sterilization legislation structures, as well as market competition. Interestingly, our analyses show that the EER and EIR legislation schemes can achieve the same performance under a per unit SHR duty, no matter whether there is public-sector corruption or not. However, these two legislation schemes perform differently under the lump-sum SHR duty. Besides, with the presence of the public-sector corruption perception, the prospect of financial benefits from bribing the regulatory agency can induce the firm to choose a higher optimal sterilization level when the bribe is sufficiently small. These implications complement the extant knowledge on risk management of second-hand clothing in LDCs, and provide an important guidance regarding the design of sterilization legislations on second-hand clothing imports.

The positive association of education with the trust in science and scientists is weaker in highly corrupt countries.

One of the most prominent correlates of trust in science and scientists is education level, possibly because educated individuals have higher levels of science knowledge and thinking ability, suggesting that trusting science and scientists relies more on reflective thinking abilities. However, it is relatively more reasonable for highly educated individuals to suspect authority figures in highly corrupt countries. We tested this prediction in two nationally representative and probabilistic cross-cultural data sets (Study 1: 142 countries, N = 40,085; Study 2: 47 countries, N = 69,332), and found that the positive association between education and trust in scientists (Study 1) and science (Study 2) was weaker or non-existent in highly corrupt countries. The results did not change after statistically controlling for age, sex, household income, and residence. We suggest future research to be more considerate of the societal context in understanding how education status correlates with trust in science and scientists.