National Allocation Research Articles

Harnessing Artificial Intelligence in Stock Market Investments: A Neomarxist Approach to Alternative Socioeconomic Funding Agendas for National State Revenue Accumulation

In the contemporary economic, sociological and political landscape, the successful integration of Artificial Intelligence (AI) computer programs into the predicted behaviour of stock market value in the financial markets represents a profound burgeoning frontier in economics, with profound implications for both wealth generation and national budget resource allocation. This paper explores the potential sociopolitical economic strategy of using AI-driven stock market prediction predictions to cumulatively accumulate capital funded for by taxpayer sourced representative income. As the baseline return accumulates in the form of investment potential then as a means of revenue accumulation for the state then the burden of the national budget upon its citizens decreases then ceases. This is the theorisation of the establishment of a Marxist economic social superstructure for the funding of social institutions through the powerful potential of artificial intelligence. By leveraging a portion of the national budget on advanced AI technologies, this strategy could dramatically facilitate the financial sustenance of political budgets aimed at social equity and economic justice. Through a critical review of sociological and economic theories, this theoretical research delineates exactly how such an approach could potentially reconfigure the mode of production and contribute to the reformation of a sustainable socialist economy.

Analyzing disruptions in post-pandemic population return patterns: A network perspective on Chinese cities

The COVID-19 pandemic has fundamentally reshaped global socio-economic structures, precipitating a profound transformation in people's lifestyles. An in-depth analysis of the disruptions in post-pandemic population returns patterns and the evolving driving factors can facilitate socio-economic recovery, development, and macro-control. This paper employs social network analysis to examine the spatial patterns and evolving urban locational attributes of the Population Mobility Network (PMN) during post-holiday returns in major Chinese cities amid the pandemic, assessing the impact of varying proximities on the PMN. The results indicate that: (1) During the pandemic, the geographic patterns of population mobility in China underwent significant fluctuations, with distinct regional and temporal variations, while intercity connections increasingly shifted toward shorter trips. (2) From 2019 to 2022, major Chinese cities experienced notable changes in status and connectivity, evolving into a multi-centric structure within the national population mobility network. (3) Community clusters predominantly adhere to provincial demarcations, maintaining stable structures within major urban agglomerations despite intense intra-regional competition, with clear distinctions in community stability between northern and southern regions. (4) Beyond traditional socio-economic factors, the level of digital finance has emerged as a new driver of population mobility, with the varied attributes of inter-city relationships also significantly influencing the PMN. Studying spatial patterns and urban location from the perspective of population mobility can inform post-pandemic optimization of national resource allocation and urban recovery strategies.

Health outcome convergence and the roles of public health financing and governance in Africa.

Progress in health outcomes across Africa has been uneven, marked by significant disparities among countries, which not only challenges the global health security but impede progress towards achieving the United Nations' Sustainable Development Goals 3 and 10 (SDG 3 and SDG 10) and Universal Health Coverage (UHC). This paper examines the progress of African countries in reducing intra-country health outcome disparities between 2000 and 2019. In other words, the paper investigates the convergence hypothesis in health outcome using a panel data from 40 African countries. Data were sourced from the World Development Indicators, the World Governance Indicators, and the World Health Organization database. Employing a non-linear dynamic factor model, the study focused on three health outcomes: infant mortality rate, under-5 mortality rate, and life expectancy at birth. The findings indicate that while the hypothesis of convergence is not supported for the selected countries, evidence of convergence clubs is observed for the three health outcome variables. The paper further examine the factors contributing to club formation by using the marginal effects of the ordered logit regression model. The findings indicate that the overall impact of the control variables aligns with existing research. Moreover, governance quality and domestic government health expenditure emerge as significant determinants influencing the probability of membership in specific clubs for the child mortality rate models. In the life expectancy model, governance quality significantly drives club formation. The results suggest that there is a need for common health policies for the different convergence clubs, while country-specific policies should be implemented for the divergent countries. For instance, policies and strategies promoting health prioritization in national budget allocation and reallocation should be encouraged within each final club. Efforts to promote good governance policies by emphasizing anti-corruption measures and government effectiveness should also be encouraged. Moreover, there is a need to implement regional monitoring mechanisms to ensure progress in meeting health commitments, while prioritizing urbanization plans in countries with poorer health outcomes to enhance sanitation access.

First consensus document of waiting list prioritization for liver transplantation by the Spanish Society of Liver Transplantation (SETH).

Spain is worldwide leader in deceased donation rates per million habitants and count on a strong network of twenty-five liver transplant institutions. Although the access to liver transplantation is higher than in other countries, approximately 10% of patients qualifying for liver transplantation in Spain will die in the waiting list or would be excluded due to clinical deterioration. A robust waiting list prioritization system is paramount to grant the sickest patients with the first positions in the waiting list for an earlier access to transplant. In addition, the allocation policy may not create or perpetuate inequities, particularly in a public and universal healthcare system. Hitherto, Spain lacks a unique national allocation system for elective liver transplantation. Most institutions establish their own rules for liver allocation and only two autonomous regions, namely Andalucía and Cataluña, share part of their waiting list within their territory to provide regional priority to patients requiring more urgent transplantation. This heterogeneity is further aggravated by the recently described sex-based disparities for accessing liver transplantation in Spain, and by the expansion of liver transplant indications, mainly for oncological indications, in absence of clear guidance on the optimal prioritization policy. The present document contains the recommendations from the first consensus of waiting list prioritization for liver transplantation issued by the Spanish Society of Liver Transplantation (SETH). The document was supported by all liver transplant institutions in Spain and by the Organización Nacional de Trasplantes (ONT). Its implementation will allow to homogenize practices and to improve equity and outcomes among patients with end-stage liver disease.

Governing new technologies that stop biological time: Preparing for prolonged biopreservation of human organs in transplantation

Time limits on organ viability from retrieval to implantation shape the US system for human organ transplantation. Preclinical research has demonstrated that emerging biopreservation technologies can prolong organ viability, perhaps indefinitely. These technologies could transform transplantation into a scheduled procedure without geographic or time constraints, permitting organ assessment and potential preconditioning of the recipients. However, the safety and efficacy of advanced biopreservation with prolonged storage of vascularized organs followed by reanimation will require new regulatory oversight, as clinicians and transplant centers are not trained in the engineering techniques involved or equipped to assess the manipulated organs. Although the Food and Drug Administration is best situated to provide that process oversight, the agency has until now declined to oversee organ quality and has excluded vascularized organs from the oversight framework of human cells, tissues, and cellular-based and tissue-based products. Integration of advanced biopreservation technologies will require new facilities for organ preservation, storage, and reanimation plus ethical guidance on immediate organ use versus preservation, national allocation, and governance of centralized organ banks. Realization of the long-term benefit of advanced biopreservation requires anticipation of the necessary legal and ethical oversight tools and that process should begin now.

Sex-mismatching in isolated heart transplantation confers no postoperative risk

BackgroundFor heart transplantation, optimal donor-recipient matching is an important factor in the ongoing development of the United Network for Organ Sharing (UNOS) continuous distribution framework. Donor-recipient sex-mismatch has decreased since the 1990s, but this may be related to the risk posed by size mismatching, particularly when donor hearts are undersized. Thus, the impact of sex-mismatching, controlling for other factors including size mismatch, is uncertain. MethodsAdult first-time, isolated heart transplant patients from the UNOS database between October 1, 1987 and December 31, 2022 were analyzed. Cohorts were separated into male and female recipients. Propensity score matching on known preoperative risk factors was performed. Equivalence testing via Two One-Sided Testing (TOST) was performed to assess between-arm equivalence in postoperative outcomes. Survival differences were measured by the between-arm ratio of Restricted Mean Survival Time and binary outcome differences by the Odds Ratio (OR). ResultsIn the propensity matched cohort, we found significant equivalence between arms in both male (TOST P<0.001) and female (TOST P<0.001) recipients for overall survival at all temporal endpoints, postoperative treatment for rejection within one year, and pre-discharge dialysis. ConclusionsSex-mismatch in isolated heart transplantation confers no additional risk to postoperative outcomes when controlling for other factors, including size mismatch. Consequently, sex-mismatch should not factor into individual assessments of organ acceptance or be incorporated into any national organ allocation policy. Increasing the acceptance of sex-mismatched donors has the potential to expand the donor pool and increase female donor utilization.

Identifying Service, Research and Policy priorities for preventing the impacts of family adversity on children’s mental health: An Australian national resource allocation study with professional and lived experience experts

ObjectivesThe objective of this study was to develop Service, Research and Policy priorities to prevent the impact of family adversity on child mental health and determine comparative priorities of diverse stakeholders to those with lived experience of adversity. MethodsValue-weighting approach conducted in a staged process: (i) professionals and experts with lived experience from health, education, justice and social care sectors attended a national symposium to identify priorities for family adversity and mental health and (ii) a subsequent resource allocation survey gathered views from participants and external experts on symposium priorities. ResultsConsensus was reached on priorities. Service priorities included establishing intersectoral hubs for children and families and early childhood nurse home-visiting programs. Research priorities included scaling up evidence-based interventions and evaluating cross-sector, flexible funding models for services addressing childhood adversity. Policy priorities included developing evidence-based policies with evaluation and implementation plans and flexible funding models to support integrated care. ConclusionsOur results provide detailed and actionable clarity on next steps to address family adversities. Implications for Public HealthThe priorities call for a focus on cross-sectoral approaches to preventing or mitigating the effects of family adversity. The current Australian policy environment provides a timely opportunity to action the proposed interventions.

Analysis and Optimization Suggestions on Allowance Allocation Methods of the Power Industry in the Carbon Market

The initial allocation of carbon emission allowances is an important component of the carbon market. An equitable, scientific, and operational quota allocation method and quota management system are the cornerstones for ensuring the healthy operation of the carbon market. Owing to the high emissions, simple process, and good data foundation, the pilot and national carbon market in China have initially included the power industry in allowance management and introduced a common and differentiated quota allocation method. In this study, we compared the allowance allocation methods for the power industry and summarized the methods for key issues such as unit classification, correction factor, product measurement, and quota carry-over. We observed that there were concerns, such as lagging issuance time, lack of carry-over provisions, lack of regulatory mechanisms, and imperfect methods, in the first performance cycle of the national carbon market quota allocation. We improved the allowance allocation system for the power industry in the carbon market from the methodological and management perspectives, including establishing a total allowance constraint, clarifying quota carry-over provisions, improving the quota verification method for co-firing units, optimizing correction factors' selection, and introducing a compensatory distribution system in a timely manner.

Medical training program size and clinical staff productivity and turnover.

The objective of this analysis was to evaluate the effect of resident program training size on clinician productivity and turnover in the Veterans Health Administration (VHA), the largest education and training platform for medical professionals in the United States. We retrieved administrative data on training programs and training facilities from the VA Office of Academic Affiliations and the VHA Corporate Data Warehouse. Data on primary care physician shortage areas were retrieved from the Health Resources and Services Administration. We used a quasi-experimental instrumental variables 2SLS design and constructed an exogenous predicted training allocation treatment variable as a function of the total national training program allocation. The outcome was clinical staff productivity and turnover. Secondary analyses stratified results using Health Professional Shortage Areas data (HPSA). Data were obtained for a national dataset of 141 VHA medical facilities and 26 specialties that hosted training programs across 11 years from 2011 to 2021 (N = 132,177). Instrumental variables results showed that on average, an increase of one training slot in a specialty leads to a decrease of 0.039 visits per standardized clinic day (p < 0.001) and a 0.02 percentage point increase in turnover (p < 0.001). The direction of this association varied by specialty: while psychiatry and psychology specialties saw a decline in productivity, fields such as primary care and cardiology experienced an increase in productivity. HPSA stratified results indicate that negative effects on productivity and turnover are driven by areas with little to no primary care physician shortage, whereas shortage areas experienced a small increase in productivity and no effect on turnover. This quasi-experimental evaluation indicates that resident training program size is associated with reduced productivity and increased turnover in specialties such as psychiatry and in facilities with high baseline productivity. However, in specialties like primary care and cardiology, as well as areas with shortages of primary care, larger training programs are associated with increased productivity.

An overview and evaluation of the differential attainment champion role in the North West of England GP school

ABSTRACT Background and aims In the Northwest of England, a national allocation of funding to minimise the effects of differential attainment has been used to support experienced GP educators to act as Differential Attainment Champions (DAC) since October 2021. An evaluation of the role’s impact was undertaken. Methods The evaluation was designed to gather the views and experiences of DACs and their trainees via online semi-structured interviews during the first 12 months following establishment of the intervention programme. Results Thematic framework analysis identified three main themes: DACs’ adaptive approach to support trainees; barriers to fulfilling the DAC role; and the positive impact of the DAC role on training. The following aspects of the DAC role worked well: the freedom to tailor support to the individual needs of the trainees; the targeted and proactive support early on in GP core training; the support of trainees in a wide range of areas including e-portfolio advice, examination preparation, and personal help. Trainees valued one-to-one support when needed. Reported improvements included: improved examination outcomes; portfolio engagement recognised in some cases by Annual Review of Competence Progression (ARCP) panels. Conclusions The individualised and adaptive approach works well but it does mean it is difficult to quantify how many trainees can be supported by one DAC and their workload needs to be monitored.

Risk Factors for Pediatric Intracranial Neoplasms in the Kids’ Inpatient Database

Introduction: In children and adolescents, brain and central nervous system (CNS) tumors are the leading types of cancers. Past studies have found differing rates of intracranial cancers among races and identified additional cancer risk factors. This study aimed to see if these differences can be substantiated with further investigation of the latest version (2019) of the Kids’ Inpatient Database (KID). Methods: A total of 7,818 pediatric patients <21 years old in KID with ICD-10 codes consisting of malignant neoplasms of the brain, brainstem, and cerebral meninges (C700, C709–C719) were queried. Modifiable risk factors evaluated include: hospital region, insurance type, hospital city size, the average income of patient zip code, and location/teaching status of a hospital. Non-modifiable risk factors were race and sex at birth. Dependent variables were tested in Excel and GraphPad Prism 9 using a χ2 test with Yates’ continuity correction and Tukey’s one-way and two-way ANOVAs. Results: Mortality rates of females (2.88%) compared to males (1.99%) were significant (p < 0.05). Mortality was (4.17%) in black patients compared to (1.68%) for white (p < 0.0001), Hispanic mortality (2.95%) compared to white (p < 0.01), and mortality of Asian/Pacific Islander (3.86%) compared to white (p < 0.01). Black patients had significantly higher mortality than white, Hispanic, Asian/Pacific Islander, Native American, and other races overall (p < 0.01). There was no significant difference in the mortality rates between children’s hospitals and large hospitals for any race. After accounting for patient race, mortality was still not significantly different for patients with Medicaid insurance compared to non-Medicaid insurance types. Of the children treated at children’s hospitals, the most transferred in from outside hospitals were Native American (20.00%) followed by Asian/Pacific Islander (15.09%) then Hispanic patients (13.67%). A significant difference between races was also seen regarding length of stay (p < 0.001) and number of charges (p < 0.001). Conclusion: These findings confirm prior studies suggesting gender and race are significant factors in mortality rates for children with intracranial neoplasms. However, the findings do not identify the root causes of these discrepancies but may serve as an impetus for clinicians, healthcare administrators, and governmental leaders to improve national resource allocation to better care for pediatric patients with intracranial neoplasms.

Associations between BMI and hospital resource use in patients hospitalised for COVID-19 in England: a community-based cohort study

Excess weight is a major risk factor for severe disease after infection with SARS-CoV-2. However, the effect of BMI on COVID-19 hospital resource use has not been fully quantified. This study aimed to identify the association between BMI and hospital resource use for COVID-19 admissions with the intention of informing future national hospital resource allocation. In this community-based cohort study, we analysed patient-level data from 57 415 patients admitted to hospital in England with COVID-19 between April 1, 2020, and Dec 31, 2021. Patients who were aged 20-99 years, had been registered with a general practitioner (GP) surgery that contributed to the QResearch database for the whole preceding year (2019) with at least one BMI value measured before April 1, 2020, available in their GP record, and were admitted to hospital for COVID-19 were included. Outcomes of interest were duration of hospital stay, transfer to an intensive care unit (ICU), and duration of ICU stay. Costs of hospitalisation were estimated from these outcomes. Generalised linear and logit models were used to estimate associations between BMI and hospital resource use outcomes. Patients living with obesity (BMI >30·0 kg/m2) had longer hospital stays relative to patients in the reference BMI group (18·5-25·0 kg/m2; IRR 1·07, 95% CI 1·03-1·10); the reference group had a mean length of stay of 8·82 days (95% CI 8·62-9·01). Patients living with obesity were more likely to be admitted to ICU than the reference group (OR 2·02, 95% CI 1·86-2·19); the reference group had a mean probability of ICU admission of 5·9% (95% CI 5·5-6·3). No association was found between BMI and duration of ICU stay. The mean cost of COVID-19 hospitalisation was £19 877 (SD 17 918) in the reference BMI group. Hospital costs were estimated to be £2736 (95% CI 2224-3248) higher for patients living with obesity. Patients admitted to hospital with COVID-19 with a BMI above the healthy range had longer stays, were more likely to be admitted to ICU, and had higher health-care costs associated with hospital treatment of COVID-19 infection as a result. This information can inform national resource allocation to match hospital capacity to areas where BMI profiles indicate higher demand. National Institute for Health Research.

National forest carbon harvesting and allocation dataset for the period 2003 to 2018

Abstract. Forest harvesting is one of the anthropogenic activities that most significantly affect the carbon budget of forests. However, the absence of explicit spatial information on harvested carbon poses a huge challenge in assessing forest-harvesting impacts, as well as the forest carbon budget. This study utilized provincial-level statistical data on wood harvest, the tree cover loss (TCL) dataset, and a satellite-based vegetation index to develop a Long-term harvEst and Allocation of Forest Biomass (LEAF) dataset. The aim was to provide the spatial location of forest harvesting with a spatial resolution of 30 m and to quantify the post-harvest carbon dynamics. The validations against the surveyed forest harvesting in 133 cities and counties indicated a good performance of the LEAF dataset in capturing the spatial variation of harvested carbon, with a coefficient of determination (R2) of 0.83 between the identified and surveyed harvested carbon. The linear regression slope was up to 0.99. Averaged from 2003 to 2018, forest harvesting removed 68.3 ± 9.3 Mt C yr−1, of which more than 80 % was from selective logging. Of the harvested carbon, 19.6 ± 4.0 %, 2.1 ± 1.1 %, 35.5 ± 12.6 % 6.2 ± 0.3 %, 17.5 ± 0.9 %, and 19.1 ± 9.8 % entered the fuelwood, paper and paperboard, wood-based panels, solid wooden furniture, structural constructions, and residue pools, respectively. Direct combustion of fuelwood was the primary source of carbon emissions after wood harvest. However, carbon can be stored in wood products for a long time, and by 2100, almost 40 % of the carbon harvested during the study period will still be retained. This dataset is expected to provide a foundation and reference for estimating the forestry and national carbon budgets. The 30 m × 30 m harvested-carbon dataset from forests in China can be downloaded at https://doi.org/10.6084/m9.figshare.23641164.v2 (Wang et al., 2023).

Cultural institutions as knowledge-intensive public organisations (KIPOs) and their role: how digitalisation can change them providing sustainable and accessible public services

PurposeThis exploratory research seeks to clarify the role of cultural organisations as knowledge-intensive public organisations (KIPOs) and the trend of digital content creation in museum sectors and national strategies through a country case study. It aims to provide a deeper understanding and analysis of museums' roles as KIPOs, specifically focusing on their digitalisation and digital content development for service delivery. Digital technology utilisation in the museum sector has amplified the significance of digital content, not only because of the increasing use of digital technologies among the public but also because it provides attractive new content to appeal to customers, as well as more efficient knowledge management and knowledge reproduction tools for KIPOs. Thus, this paper analyses digital content creation in the museum sector and policy frameworks to provide insights into the role of museums as KIPOs by utilising digital technologies.Design/methodology/approachWe conducted literature review on six keywords, combination of “cultural institution”, “museum”, “digitalization”, “digital content”, and “ICT” to understand the digitalisation of museums amongst academic papers, then used a case study to figure out the common issues as well as case-specific features of these digital offerings through analysis of the digital platforms of museums. Specifically, we choose the case of South Korea, its national strategies and budget allocations and the museum sectors in the country. Thus, the secondary data analysis was provided by the official channels, such as documents from government agencies, media sources, such as articles from newspapers and magazines and academic works of literature, such as papers in scientific journals.FindingsThis paper reveals the research trend in museums' digitalisation, especially through the case study, how the South Korean government has argued digital content development in museum sectors through their national strategies and budget allocations, and the trend of museums' digital offerings since 2021. This paper thus presents a novel contribution to the field by delving into the research trend in digitalisation and digital content development in the museum sector and analysing the South Korean government's national strategies and budget allocation in this context. The literature review shows that the digitalisation of museums has increased research interest in the last few years in limited areas. South Korea has allocated budgets and policies to encourage digital content creation in museums, and this study identifies an increase in digital content creation in the museum sector.Research limitations/implicationsThe paper chose one-country case study, that of South Korea; thus, there are representative limitations and thus in terms of generalisation of the results. Further research with case studies from other countries and comparative studies are required.Practical implicationsThis study highlights the importance of digitalisation and digital content development in the museum sector through government policies, strategies and financial investment.Social implicationsIt highlights the importance of digitalisation and the introduction of digital contents amongst museums to gain new visitors and change the relationship between the institutions and the customers.Originality/valueIt deals with the digitalisation of museums as KIPOs and it is a new and relevant topic per se. This study enhances the understanding of the museum sector’s digital content development and national policies to support its activities. It provides insights into the utilisation of digital technologies in cultural institutions for digital service delivery in public organisations.

Study on the Initial Allocation of Carbon Emission Rights Applicable to China's National Conditions: from the Perspective of Comprehensive Principles

&lt;p&gt;The scientific and reasonable allocation of initial carbon emission rights is the foundation of establishing and perfecting the carbon trading system, which is directly associated with the completion of carbon emission reduction targets. Guided by the rational distribution of China's carbon emission rights, this paper adopts a multi-index method to investigate the initial distribution of China's carbon emission rights from a regional perspective according to the comprehensive principles of fairness, efficiency, sustainability, and environmental capacity limit. The results show that the use of regional historical carbon emissions or economic factors as a single indicator of carbon emission rights distribution is unreasonable according to historical emissions or GDP, and the results are quite different from the actual demand. Under the overall coordination degree allocation model, it is reasonable for Region 2, Region 3, and Region 4 to undertake higher emission reduction responsibilities, and the emission reduction tasks in these regions are likely to be completed, which shows that the carbon emission rights allocation under the comprehensive principle is more in line with the actual demand and has good operability, robustness, and compatibility. The allocation of carbon emission quota requires the scientific and reasonable formulation of the total national allocation, that all provinces and cities can form a stable quota expectation, effectively design the allocation principle scheme, give consideration to fairness and operability, and do not share the responsibility of regional emission reduction with a one-size-fits-all approach.&lt;/p&gt;

Calibration of Priority Points for Sensitization Status of Kidney Transplant Candidates in the United States.

A primary change to the national organ allocation system in 2014 for deceased donor kidney offers was to weight candidate priority based on sensitization (i.e. calculated panel reactive antibody percentage [CPRA%]) using a sliding scale. Increased priority for sensitized patients could improve equity in access to transplantation for disadvantaged candidates. We sought to evaluate the effect of these weights using a contemporary cohort of adult US kidney transplant candidates. We used the national Scientific Registry of Transplant Recipients to evaluate factors associated with sensitization using multivariable logistic models and rates of deceased donor transplantation using cumulative incidence models accounting for competing risks and multivariable Cox models. We examined 270,912 adult candidates placed on the waiting list between Jan,2016-September,2023. Six-year cumulative incidence of deceased donor transplantation for candidates with cPRA%=[80-85) and [90-95) was 48% and 53% respectively, as compared to 37% for candidates with cPRA%=[0-20). In multivariable models, candidates with high cPRA% had the highest adjusted hazards for deceased donor transplantation. There was significant effect modification such that the association of high cPRA% with adjusted rates of deceased donor transplantation varied by region of the country, gender, race/ethnicity, prior dialysis time and blood type. Results indicate that the weighting algorithm for highly sensitized candidates may overinflate the need for prioritization and lead to higher rates of transplantation. Findings suggest re-calibration of priority weights for allocation is needed to facilitate overall equity in access to transplantation for prospective kidney transplant candidates. However, priority points should also account for subgroups of candidates who are disadvantaged for access to donor offers.

How does top-down water unified allocation and regulation decelerate water utilization? Insights from the Yellow River, China

Understanding changes in human water utilization under the policy environment of the national top-down water unified allocation and regulation (TWAR) is crucial for promoting river health, sustainable resource utilization, and high-quality socioeconomic development along the whole Yellow River, a congenitally water-deficient river in China. This study assessed the TWAR policy effects on the total/sectoral/per capita water uses using the canonical difference-in-difference (DID) model, synthetic control method (SCM), and generalized synthetic control method (GSCM). The net effects of TWAR were assumed to be spatially heterogeneous and associated with variations in water-conserving efficiency, described by two indicators: water-conserving irrigation (WCI) and industrial recycled water (IRW). The suitable threshold intervals of WCI and IRW for benefiting decelerating water utilization were analyzed using a linear mediating effect (ME) model and panel smoothing transformation regression (PSTR) model, to explain the rebound effect in water use under the impact of the prevailing TWAR. The results show that TWAR initially had sustained positive effects on curbing water use growth, with the highest contribution to per capita agricultural water use in the lower section and high-quota region of the Yellow River Basin, but these effects decreased after a decade. Only when the WCI shifted within the threshold interval [0.283, 0.771] and the IRW did not exceed 0.962 could TWAR restrain water use. Emphasizing the conservation-oriented improvement of water use efficiency may necessitate extra attention to regions where water-conserving practices already reach high levels beyond the maximum WCI or IRW thresholds. These regions might be inclined to overutilize saved water to boost economic benefits and thereby potentially exacerbate the undesirable rebound effect from new uncontrolled water extraction.

Traditional knowledge in the approach to sustainability: Making sense of Bhutanese gross national happiness and Buen Vivir in Bolivian constitution

In the past few decades, due to the global environmental crisis humanity is facing, a sudden growth in environmental policies and sustainability strategies has been registered. This article discusses two of such policies, namely that of Gross National Happiness (GNH) in the Himalayan country of Bhutan and the inclusion of the concept of Buen Vivir (BV) in the Bolivian Constitution, through a critical analysis—based on political ecology approaches—of their implementation within state policy and their wider implications within the global discourse on the so-called “sustainable development” paradox. This paper highlights the role that the aforementioned policies might play in the path to decolonisation, seeing as how they draw inspiration from their own local contexts and values instead of those provided by the Global North, more specifically focusing on their ancestral and traditional knowledge to supposedly guide the countries’ policy-making process. Although several points of criticism are identified in both policies, innovativeness is detected in their potential to offer alternative views on human wellbeing, both for global southern and global northern contexts, as their original intent would be to remarkably operate outside of the Western framework of development based on Gross Domestic Product (GDP) and economic growth. GNH appears to be mostly oriented toward supporting political national budget discussion and allocation, while BV acts at a higher level (constitutional), thus also inspiring overall politics.

Traditional knowledge in the approach to sustainability: Making sense of Bhutanese gross national happiness and Buen Vivir in Bolivian constitution

In the past few decades, due to the global environmental crisis humanity is facing, a sudden growth in environmental policies and sustainability strategies has been registered. This article discusses two of such policies, namely that of Gross National Happiness (GNH) in the Himalayan country of Bhutan and the inclusion of the concept of Buen Vivir (BV) in the Bolivian Constitution, through a critical analysis—based on political ecology approaches—of their implementation within state policy and their wider implications within the global discourse on the so-called “sustainable development” paradox. This paper highlights the role that the aforementioned policies might play in the path to decolonisation, seeing as how they draw inspiration from their own local contexts and values instead of those provided by the Global North, more specifically focusing on their ancestral and traditional knowledge to supposedly guide the countries’ policy-making process. Although several points of criticism are identified in both policies, innovativeness is detected in their potential to offer alternative views on human wellbeing, both for global southern and global northern contexts, as their original intent would be to remarkably operate outside of the Western framework of development based on Gross Domestic Product (GDP) and economic growth. GNH appears to be mostly oriented toward supporting political national budget discussion and allocation, while BV acts at a higher level (constitutional), thus also inspiring overall politics.

Combining living and deceased donation for pediatric first isolated liver transplantation: A win-win even in countries with high deceased donor donation rates.

Split and living donor liver transplantations are both key surgical strategies for development of pediatric liver transplant programs. Often, however, teams tend to prioritize only one preferentially. In the context of a very active national split liver graft allocation program (Italy), retrospective study of 226 consecutive pediatric first isolated liver transplants performed by a single team using organs from both deceased and living donors. Clinical characterisitics and outcome were compared. In the context of a steadily slowly decreasing split graft offer, living donation activity steadily increased. Deceased and living donation accounted for 52.6% and 47.4% of transplantations, respectively. Both strategies were equally used for transplanting patients up to 30 kg of weight, while deceased donors were predominantly used for older recipients. Technical variants represented 86% of all transplants, with 183 conisting of left lateral segment grafts (76 split liver grafts and 107 left grafts from living donors). Outcome of both surgical strategies was similar, with excellent outcomes at early, mid-, and long-term. Splitting livers of deceased donors and using living donation were complementary and non-competitive strategies for developping pediatric liver transplant activity. Implementing both activities in parallell allowed to maintain stable the number of annual transplant in Italy and allowed to reach superior outcomes. This analysis provides evidence that living donation plays a role in Italy despite an existing very active "mandatory-split" national policy.