Tangible Costs Research Articles

Evaluative criteria for least-cost economic analysis of citywide inclusive sanitation: a scoping review

ABSTRACT Compared to health interventions, where evaluative criteria have been established, uncertainty about how comparative economic analysis methodologies should be applied to heterogeneous urban sanitation interventions in cities of low- and middle-income countries persists. Gaps between least-cost principles and current approaches constrain emerging citywide inclusive sanitation (CWIS) planning frameworks. Furthermore, a lack of comparable evidence about the economic efficiency of service provision interventions impacts the delivery of urban sanitation as an inclusive public service. This review scopes how least-cost principles may be applied to methodologies for urban sanitation interventions in two iterations. We devise and discuss evaluative criteria, embodying CWIS principles, that will improve the quality of these methodologies. They include how (i) the inclusion of diverse cost perspectives, particularly populations with marginal access to sanitation, are accommodated within an analysis; (ii) a context-specific without-project case may be used as an appropriate basis for comparison; (iii) tangible and intangible costs and outcomes may influence decisions; and (iv) diverse mixtures of interventions at different scales may be compared with integrity. The resulting evaluative criteria define principles that may inform future systematic reviews on practices that enhance CWIS planning frameworks.

The societal cost of 'unwanted' loneliness in Spain.

Unwanted loneliness negatively affects people's health and quality of life, increasing morbidity and the risk of premature death; this situation can generate major social costs. The aim of this study is to estimate the social costs of loneliness in Spain for 2021: both tangible costs -monetary value of health costs and production losses- and intangible costs -Quality Adjusted Life Years (QALYs). To estimate costs not derived from mortality, information from a sample of 400 people with unwanted loneliness was compared with that derived from two samples of the general population obtained from the Spanish National Health Surveys. To estimate the costs associated with premature deaths, the population attributable fraction was calculated using the relative risks estimated in previous survival studies. In the baseline scenario, the tangible costs of unwanted loneliness are estimated to be around 14,129million euros in 2021, representing 1.2% of Spain's GDP. Approximately 56.8% of the tangible costs correspond to production losses due to reduced working time, and 43.2% are due to healthcare costs related with increased consultation frequency in healthcare services and higher consumption of medicines related to loneliness. In addition, loneliness generates a reduction in quality of life equivalent to 1.04million QALYs, which corresponds to 2.8% of the total stock of QALYs of the Spanish population over 15 years of age.

Dealing with Clashes of International Law: A Microlevel Study of Climate and Trade

Abstract For years, scholars in international relations have addressed questions related to regime complexity and its effects. However, there is a lack of understanding of how individuals react to clashes of international law obligations when assessing domestic policies. In this article, we study the extent to which citizens are concerned with compliance and noncompliance with international law when their governments design domestic laws to implement international obligations. We are, in particular, interested in whether citizens’ reactions to clashes of international obligations are driven by concerns about being exposed internationally for breaching international law or concerns about tangible material costs. Our empirical analysis is based on an experiment embedded in a survey of Swiss citizens’ attitudes toward environmental issues. The experiment first shows that individuals react to both information about compliance as well as noncompliance, whereas the shifts are more notable in the case of negative information about noncompliance. Second, we find that information about the country being subject to international adjudication (what we call exposure costs) in case of noncompliance is more consequential than information about material costs (facing retaliation).

Transaction cost effects on maize spatial price differences in Njombe market, Tanzania

Previous studies have demonstrated that tangible and intangible transaction costs influence spatial price differences. The difference between the prices at which producers sell their goods, and the prices at which consumers purchase them is exacerbated by transaction costs. This indicates that farmers receive a lower price from buyers, who then charge consumers a greater price at urban marketplaces. However, existing documentation provides limited information on the relationship between spatial price differences and their drivers. Most research focused primarily on the co-movement of prices and the co-integration test, with little attention paid to the effects of transaction costs on spatial price differences. Thus, the paucity of information in the literature motivated the undertaking of this specific study. Therefore, this study assessed the impact of transaction costs on spatial price differences of maize in the Njombe District of Tanzania. A semi-structured questionnaire was developed and employed to collect information from maize traders. Also, checklists were used to collect information from market leaders. Both descriptive and quantitative analyses were undertaken. In the descriptive analysis, means and percentages were generated. On the other hand, in the quantitative analyses, the Ravalion model which is based on the co-movement of prices, was modified to fit the study in question and estimated. The outputs generated from the modified model were used for inferences. The estimated model results showed that transaction costs (transportation costs, years of schooling, bribery, and the number of maize bags carried in one trip) have significant effects on spatial price differences. Moreover, market leaders revealed that because of the poor quality of the roads, individual farmers find it challenging to deliver their produce to the Njombe market. Consequently, they obtain a low price when they sell their produce at the farm level. The study recommends deliberate measures to reduce transaction costs, such as improving urban and rural infrastructure, simplifying bureaucratic procedures that provide room for corruption, and, finally, promoting large-scale production or collective actions to reduce transaction costs. Key words: Spatial price differences, transaction costs, markets, maize, farmers, traders

Defining the process of malpractice claims and indemnity payments

Medical malpractice is defined as an omission or act that deviates significantly from the norms of medical practice and leads to harm or injury to the patient. The key legal elements of medical malpractice are 1) the presence of a patient-doctor relationship, 2) failure to meet a standard-of-care, 3) evidence of injury relating directly from sub-standard care, and 4) harm relating to that injury. If a patient feels as though they have been a victim of a medical error, the first step in the process of beginning a claim is that the patient/plaintiff will consult with an attorney who specializes in malpractice. If the case is determined to be valid, a suit can be filed to initiate a pre-discovery and deposition process. During the discovery process, information is gathered through interrogatories, requests for disclosure, requests for production, requests for admission, expert reports, and depositions. The pre-trial process generally culminates in a deposition. This step involves a formal proceeding whereby the physician provides a recorded testimony under oath, which may be used in the future if the suit is brought to court. Following this process, suits can be dropped, settled, or end in the pursuit of a trial. When a defendant is found liable in a medical malpractice case, the plaintiff is entitled to indemnity payments in proportion to the harm and damages associated with the malpractice case. Indemnity payments are expected to cover various damages, including economic, non-economic, and less often punitive damages. Economic damages include tangible medical costs, like medical bills, future medical care, lost wages, and future lost wages associated with the injury or disability resulting from the malpractice event.

Economic impact of immunoglobulin replacement therapy in secondary immunodeficiency to hematological cancer: a single center observational study.

This is the first report of the health economic benefits derived from preventing infections through Immunoglobulin Replacement Therapy (IgRT) in patients with secondary immunodeficiency due to hematological malignancies. We conducted a retrospective population-based cohort study using patient medical history and pharmacy data from the Hospital Clínico San Carlos for 21 patients between 2011 and 2020. The pharmacoeconomic impact of using prophylactic IgRT was assessed by comparing characteristics of the SID patients 1 year before and after initiating IgRT measured by direct medical and tangible indirect costs. Results indicate a marked reduction in hospitalization days following IgRT initiation, decreasing from an average of 13.9 to 6.1 days per patient, with the elimination of ICU admissions. While emergency department visits decreased significantly, the number of routine consultations remained unchanged. Notably, absenteeism from work dropped substantially. The financial analysis revealed significant reductions in medication use and fewer ancillary tests, resulting in considerable cost savings. Specifically, total expenditure dropped from €405,088.18 pre-IgRT to €295,804.42 post-IgRT-including the cost of IgRT itself at €156,309.60. Overall, the annual savings amounted to €109,283.84, validating the cost-effectiveness of IgRT in managing SID in patients with hematological cancers.

Role of intraorganizational social capital and perceived organizational support on expatriate job performance: empirical evidence

Purpose An expatriate is a person living outside their native country and is physically mobile across international borders for professional or personal reasons, whether for a short or long time, whether organizationally sponsored or not. In the competitive and globalized world, expatriation helps organizations to sustain international competition. Based on the social capital theory, performance theory and organizational support theory, this study aims to explore the impact of intraorganizational social capital (IOSC) and perceived organizational support (POS) on expatriate job performance (EJP) along with the intervening role of Islamic work ethics (IWE). Design/methodology/approach Data are collected from Expatriate employees working in UAE for at least three years among various knowledge-based industries. A total of 268 filled responses were received using the convenience sampling technique. Structural equation modeling was used to test the proposed hypotheses. Findings The results indicate that POS and IOSC positively influence most EJP dimensions except demonstrating effect dimension and IWE acts as a partial mediator. The study adopted a cross-sectional research design, and the respondents are white color expatriates working in the knowledge-based industries across the United Arab Emirates. Various other business sectors, such as tourism, hospitality, manufacturing, oil and energy can be considered in the study context and longitudinal research designs can be adapted to generalize the findings. Research limitations/implications The study adopted a cross-sectional research design, and the respondents are white color expatriates working in the knowledge-based industries across the United Arab Emirates. Various other business sectors, such as tourism, hospitality, manufacturing, oil and energy, can be considered the study context and longitudinal research designs can be adopted to generalize the findings. Practical implications Human resource managers need to formulate their company policies so that a recruit is given orientation and training the existing workforce on the benefits of IWE, as it can be seen as developing employee morale and ethical behavior. Onboarding an expat from different regions is an expensive initiative for the organization. The organization should consider both tangible and intangible costs that go into the recruitment, selection and onboarding of an expat. Originality/value Very few studies have explored the role of IWE with a second-order EJP construct with the respondents from the knowledge-based industries of the UAE.

Optimizing Healthcare Expenditure for Spinal Cord Stimulation in Italy: The Value of Battery Longevity Improvement and a Direct-to-Implant Approach.

Background: Spinal cord stimulation (SCS) is a treatment for chronic intractable pain powered by an implantable pulse generator that may be rechargeable or not rechargeable (NR). It is performed in 2 stages (a trialing phase followed by permanent device implantation) and necessitates 2 hospitalizations, which may increase infection risk. Objective: This analysis explores the cost impact of improvements in battery longevity and the adoption of 1-step (direct-to-implant [DTI]) SCS implantation. Methods: Since 2019, 3 leading NR-SCS devices have been launched: Device A (2019), Device B (2020), and Device C (2021). The battery longevity of the newest Device C was estimated at comparable stimulation settings for Devices A and B. A Markov model simulated individual patient pathways across 2 scenarios: Device A vs Device C and Device B vs Device C (both with the DTI approach and 2-step approach). Costs considered were the initial device implantation procedure, device replacements, and serious adverse event (SAE) management. Italian diagnosis-related group (DRG) tariffs were applied for costs, and a 15-year time horizon was used. Results: Over 15 years, using a DTI approach, the undiscounted total costs for Device A vs Device C were €26 860 and €22 633, respectively, and €25 111 and €22 399 for Device B vs Device C, respectively. Compared with Devices A and B, Device C offered savings of €4227 and €2712, respectively; similar savings were predicted with a 2-step implant approach. Discussion: The battery longevity of NR-SCS devices directly impacts long-term costs to a payer. The longer the device lasts, the lower mean total cumulative costs the patient will have, especially with regard to device replacement costs. With novel devices and specific programming settings, the lifetime cost per patient to a payer can be decreased without compromising the patient's safety and positive clinical outcome. Conclusions: Extended SCS battery longevity can translate into tangible cost savings for payers. The DTI approach for SCS supports National Healthcare System cost efficiencies and offers the additional benefits of optimizing operating room time while having only one recovery period for the patient.

Optimizing Healthcare Expenditure for Spinal Cord Stimulation in Italy: The Value of Battery Longevity Improvement and a Direct-to-Implant Approach

Background: Spinal cord stimulation (SCS) is a treatment for chronic intractable pain powered by an implantable pulse generator that may be rechargeable or not rechargeable (NR). It is performed in 2 stages (a trialing phase followed by permanent device implantation) and necessitates 2 hospitalizations, which may increase infection risk. Objective: This analysis explores the cost impact of improvements in battery longevity and the adoption of 1-step (direct-to-implant [DTI]) SCS implantation. Methods: Since 2019, 3 leading NR-SCS devices have been launched: Device A (2019), Device B (2020), and Device C (2021). The battery longevity of the newest Device C was estimated at comparable stimulation settings for Devices A and B. A Markov model simulated individual patient pathways across 2 scenarios: Device A vs Device C and Device B vs Device C (both with the DTI approach and 2-step approach). Costs considered were the initial device implantation procedure, device replacements, and serious adverse event (SAE) management. Italian diagnosis-related group (DRG) tariffs were applied for costs, and a 15-year time horizon was used. Results: Over 15 years, using a DTI approach, the undiscounted total costs for Device A vs Device C were €26 860 and €22 633, respectively, and €25 111 and €22 399 for Device B vs Device C, respectively. Compared with Devices A and B, Device C offered savings of €4227 and €2712, respectively; similar savings were predicted with a 2-step implant approach. Discussion: The battery longevity of NR-SCS devices directly impacts long-term costs to a payer. The longer the device lasts, the lower mean total cumulative costs the patient will have, especially with regard to device replacement costs. With novel devices and specific programming settings, the lifetime cost per patient to a payer can be decreased without compromising the patient’s safety and positive clinical outcome. Conclusions: Extended SCS battery longevity can translate into tangible cost savings for payers. The DTI approach for SCS supports National Healthcare System cost efficiencies and offers the additional benefits of optimizing operating room time while having only one recovery period for the patient.

The spatial and scalar politics of a just energy transition in Illinois

Illinois passed the Energy Transition Act (i.e., the Climate and Equitable Jobs Act or CEJA) in 2021, which established clean energy mandates with an emphasis on social equity. We examine CEJA and related policies to understand the politics of Illinois' energy transition. While CEJA has been praised as an approach to a just transition, critics argue that it exacerbated Illinois' rural-urban dichotomy by distributing benefits to urban areas defined as ‘environmental justice communities’ and tangible costs, in the form of clean energy infrastructure, to rural communities. We demonstrate that, leading up to and in response, 1) local governments deployed measures to oppose renewable energy development and 2) the state, in turn, scaled authority for energy governance upward to inhibit opposition. By framing reduced participation as necessary for just climate action, Illinois undermined procedural forms of justice viewed as critical to a just transition and reinforced energy as a partisan political issue. This case illustrates how a narrow definition of justice can contribute to distributive conflict in the energy transition and identifies a need for more inclusive strategies to manage such conflict.

Abstract PS03-06: Clinical implementation of artificial-intelligence-assisted detection of breast cancer metastases in sentinel lymph nodes: saving costs and time (the CONFIDENT-B trial)

Abstract Background Metastases in sentinel lymph nodes (SN) of breast cancer (BC) patients are strongly associated with a worse survival and consequently guide treatment. If metastases are absent upon pathologist’ assessment of the regular hematoxylin and eosin (HE)-slide, additional immunohistochemistry (IHC)-stains are performed to ensure that no metastases are missed. However, these stains come at high additional costs, which may exceed specimen reimbursement. Fortunately, digital pathology is becoming more common, thereby creating an avenue of opportunities for artificial intelligence (AI) assistance. Although the number of studies on (promising) AI-algorithms increases exponentially, studies on actual clinical implementation are lacking. In this single-center prospective trial, we investigated to which extent an artificial intelligence (AI)-assisted clinical workflow for the detection of SN-metastases reduces IHC-use, while maintaining current diagnostic safety standards. Methods We enrolled 190 SN-specimens of 182 patients with invasive or in situ BC from September 2022 to May 2023. SN-specimens were allocated bi-weekly to either the control-arm (n=90) or the intervention-arm (n=100). In the control-arm, SN-specimens were digitally assessed according to the current clinical workflow, while pathologists in the intervention-arm assessed the SN-specimen with the output the ‘Metastasis-Detection-App’ (Visiopharm©) available. In both groups, IHC was performed in all morphologically negative cases. Main outcome was the relative risk (RR) of IHC-use per detected case of SN-metastases. Case-mix adjustment was performed by log-binomial regression. Results Overall, 59 SN-specimens contained metastases (31.1%). AI-assistance resulted in a significantly lower risk of IHC-use per detected case of SN-metastases (adjusted RR: 0.680, 95% CI: 0.347-0.878). Besides preventing IHC-use, thereby reducing costs, AI-assisted pathologists also spent significantly less time on their assessment of the SN-specimen (3m:41s vs. 6m:04s, p = 0.028). Furthermore, the sensitivity of AI-assisted pathologists was up to 30% higher. The AI-assisted pathologists missed two cases of micro-metastases in the intervention arm, one of which was in retrospect highlighted by the algorithm, while in the other case the tumor cells were located in a heavily cauterized area of the HE-slide and therefore only visible on the (serial) IHC-slides. In the control arm, the algorithm in retrospect picked up all micro- and macro-metastases and nearly half of the isolated tumor cells (ITC). In addition, all participating pathologists stated that AI was easy to use, that they felt confident using AI, and that besides saving them time, AI made their work more enjoyable. Cost reductions on IHC by AI-assistance depend on laboratory policy (i.e. when and on how many levels IHC is performed), but, at a cost of €25,- per IHC-stain, range from €1.500 to €3.500 per 100 SN’s in a scenario where IHC is performed in all morphologically negative cases. In a scenario where IHC is only performed in patients in whom finding ITC has clinical consequences (i.e. patients who received neoadjuvant treatment), cost savings on IHC range from €7.500-€12.500 per 100 SNs, depending on laboratory policy. Conclusion AI-implementation for the detection of SN-metastases in BC-patients leads to a significant reduction of IHC-use and subsequent costs, while saving pathologists time and making their work more enjoyable. Importantly, AI-implementation during this trial was safe and patients were not at risk of an inferior diagnosis. By doing this trial alone, an estimated €3,000 on IHC-use was saved. Such tangible cost savings are crucial to build a viable business case for AI implementation in diagnostic pathology. Citation Format: Carmen van Dooijeweert, Rachel Flach, Natalie ter Hoeve, Celien Vreuls, Roel Goldschmeding, Jan-Erik Freund, Paul Pham, Tri Nguyen, Elsken Van der Wall, Geert Frederix, Nikolas Stathonikos, Paul Van Diest. Clinical implementation of artificial-intelligence-assisted detection of breast cancer metastases in sentinel lymph nodes: saving costs and time (the CONFIDENT-B trial) [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PS03-06.

Global Industrial Efficiency Revolutionized by Automated Lathe

The implementation of an automatic lathe, utilizing hydraulic drive and PLC programming, stands as a significant advancement in industrial engineering aimed at augmenting productivity while circumventing additional labor requirements. Through meticulous research, it was discerned that the predominant issue plaguing the production process was the occurrence of stoppages due to irregular or unstable dimensions in the output, particularly concerning the Item Bush K0JA Left. Employing methodologies such as SIPOC analysis and the 4M framework revealed that the root cause primarily stemmed from machine-related factors, exacerbated by fluctuations in the installation, resulting in misalignments and subsequent dimension inaccuracies. Addressing this, a targeted intervention involving the addition of locking bolts to the material fixture mitigated the stoppage occurrences significantly, with the operator rectifying positioning irregularities on average 1200 minutes per month. This intervention not only enhanced operational efficiency but also yielded tangible cost savings, amounting to Rp 578,000 monthly or Rp 6,936,000 annually, attributed to the prevention of production downtime. The implications of this study underscore the importance of proactive measures in streamlining manufacturing processes, thereby optimizing resource utilization and economic viability. Further research avenues could delve into the optimization of maintenance protocols for automated machinery and the exploration of advanced sensor technologies to preemptively detect dimensional inconsistencies, thus bolstering overall production resilience and efficacy. Highlight: Advanced machinery integration boosts manufacturing efficiency. Root cause analysis reveals process optimization insights. Cost savings demonstrate practical impact of production enhancements. Keywoard: Automatic lathe, Industrial engineering, Productivity enhancement, Dimensional accuracy, Cost savings

A new innovative method to measure the cost of war: future with fewer conflicts via harm reduction approaches

BackgroundThe destruction of World War I (WWI) and World War II (WWII) changed the world forever. In this analysis, the economic costs of WWI and WWII are considered via a harm reduction approach to highlight the cost of war via the mortality of military personnel. The harm reduction philosophy and homeostasis of a biological cell are utilized as a pragmatic approach and analogy to give a greater context to the findings, despite the omission of civilian casualties and military disabilities.MethodsTangible (e.g., loss of wages, productivity, and contributions) and intangible (e.g., quality of life) costs are estimated based on the value of each military personnel derived from secondary data and a mathematical model. This is the first study to estimate the cost of war based on soldier’s mortality during the first and second World War.ResultsBased on the tangible value, the WWI and WWII cost for the military personnel was US$43.204 billion ($13 billion ≤ α ≤ $97 billion) and US$540.112 billion ($44 billion ≤ α ≤ $1 trillion). When the intangible cost is considered, it is estimated that the WWI cost was beyond US$124 trillion ($43 trillion ≤ β ≤ $160 trillion), and the WWII cost was above US$328 trillion ($115 trillion ≤ β ≤ $424 trillion). The sensitivity analyses conducted for WWI and WWII demonstrate different ranges based on tangible and intangible values.ConclusionsIn the current climate of increasing hostilities, inequalities, global warming, and an ever-changing world, economic prosperities are directly linked to peace, stability, and security. Therefore, any future decisions for military conflicts need to increasingly consider harm reduction approaches by considering the cost of life and potential disabilities for each nations’ soldiers, sailors, and pilots.

So Right It’s Wrong? Right Governments, Far Right Populism, and Investment Risk

Political economy literature documents how financial investors are more partial to right executives than left ones. Right cabinets face lower interest rates, less volatile stock prices and exchange rates, and higher credit ratings than left cabinets, even after accounting for fiscal differences. But does this advantage persist if right governments accommodate far right parties or ideas? I hypothesize that because far right populism can introduce political instability, markets’ evaluation of right executives might deteriorate if they enter coalition with far right parties or adopt their positions. Employing a panel analysis of bond spread data, and a comparative case study of the Netherlands and Sweden, I find that right executives enjoy significantly lower spreads than their left-wing counter-parts, but this advantage disappears if they rule in coalition with the far right or produce overly right-wing manifestos. These findings highlight that right parties may encounter tangible borrowing costs and market rebuke if they accommodate far right populism.

The lean journey of the finnish real estate.

Nothing teaches us more than our experiences. That was the main reason why the Finnish construction industry has not only studied Lean and IPD but also launched several pilot projects by public owners to learn, adapt Lean principles in practice, and develop an IPD model suitable for the Finnish construction industry. 
 The IPD model demands teamwork and adapting Lean and IPD industrywide is also teamwork. In Finland, several owners and service providers have been working together since 2010 sharing their learnings in workshops, seminars, and conferences. 
 Over 100 IPD projects have also been a platform for several academic papers. The Finnish Universities have published tens of master’s and doctoral theses during the past 10 years on Lean construction, IPD, and alliance models. 
 The Finnish construction industry has gained major benefits and made important progress on its Lean journey. Lean philosophy and tools have delivered tangible cost savings in projects and services and improved cost estimates, schedule adherence, quality, integration, and collaboration in construction projects. 
 Finland has succeeded in creating smooth and practical discussion and development forums that have shaped the whole industry. The key drivers contributing to this progress are collaboration and integration, confidence-building between the partners as well a deeper understanding and application of the Lean principles in construction. As a result, Lean and integrated project execution are already reflected in the strategies adopted by many companies and client organizations.

СУТНІСТЬ ІННОВАЦІЙНИХ ПРОЦЕСІВ У ДІЯЛЬНОСТІ СІЛЬСЬКОГОСПОДАРСЬКИХ ПІДПРИЄМСТВ

The article outlines the essence, importance, and consequences of innovative processes. It is emphasized that innovative processes in the activities of agricultural enterprises are closely related to the processes of biological transformation in crop and animal husbandry and are oriented towards a long-term perspective. The spread of innovative processes in the environment of agricultural enterprises depends on the level of their innovative activity. The differences between the concepts of "innovative activity" and "innovative process" are considered. It is noted that innovative activity is a set of innovative processes aimed at creating, patenting, and spreading innovations. Agricultural enterprises are not characterized by innovative activity due to tax restrictions. They implement innovations within the framework of innovation processes, which are characterized by a qualitative change (modernization) of agricultural products and services, or the creation of a qualitatively new product. Innovative processes are revealed in the improvement or generation of new methods, approaches, and principles of operational activity of agricultural enterprises based on the use of new knowledge. Innovative processes in the activity of agricultural enterprises are manifested in the achieved competitive advantages, that is, the presence of some exclusive value in the supply to consumers, which provides prerogatives to a specific enterprise over competitors. Innovative activities of agricultural enterprises result in economic, ecological, and social effects. A special tool to activate innovative processes in the activities of agricultural enterprises is the value chain, which serves as the basis for creating added value for the product. The value chain of an agricultural enterprise consists of specific processes (innovation processes), which often go beyond internal production, and include a set of tangible and intangible costs that form the main and added value. Innovative processes in the activities of agricultural enterprises pave the way to rational, economical, and effective use of the resource component of production potential, as well as a tool for achieving a strategic goal.

Impact of Pandemic on Foreign Direct Investment - A Study from Global Perspective

Abstract: The global economic landscape has been significantly influenced by health pandemics, leading to heightened uncertainties. Using data from past epidemics and economic downturns, this research paper examines the repercussions of these health crises on global economies. Prominent among these health crises is the 1918 influenza epidemic, which Garrett (2008) reveals had severe impacts on investment, human capital, and consumer behaviour. In more recent history, the SARS outbreak in 2003, as analysed by Lee and McKibbin (2004), cost the world an estimated USD 40 billion, highlighting the tangible economic costs of health pandemics. COVID-19, emerging at the end of 2019, has created another layer of global economic uncertainty. Containment measures such as lockdowns and social distancing have led to a ripple effect, causing a downturn in various economic sectors. To better understand the scale of this uncertainty, this study employs the newly developed World Pandemic UncertaintyIndex (WPUI) – a tool introduced in 2020 specifically to measure the economic and political uncertainties introduced by pandemics.A crucial focus of the research is the impact of health pandemics on Foreign Direct Investment (FDI). FDI, a major non-debt financial resource, plays an instrumental role in the economic development of nations. It introduces technical know- how, generates employment, and can be seen as a barometer of a country's economic health. Using the WPUI, the study investigates the consequences of health pandemics on FDI in 142 countries from 1996 to 2019. It identifies patterns in different regions and economic brackets,adding new insights to existing literature. The COVID-19 pandemic has significantly impacted global foreign direct investment (FDI), causing disruptions in both inflows and outflows across countries and regions. This study, drawing from quantitative data from the World Bank and UNCTAD and qualitative insights from FDI experts, examines the extent and nature of this impact from 2019-2023. Results indicate a pronounced decline in FDI flows in 2020 and 2021, with varying impacts based on regional development, economic structures, and exposure to the pandemic. Factors such as digitalisation, diversification, and cooperation have influenced these FDI trends. This researchoffers valuable insights for policymakers navigating the post-pandemic FDI landscape, emphasising the need for further studies on the long-term effects of the pandemic on FDI dynamics. The study further narrows down its focus to India, analysing the FDI trends before and after the advent of COVID-19. Secondary data sources, including RBI bulletins and economic survey reports, provide insights into FDI equity inflows during the pandemic. Preliminary results suggest a considerable dip in FDI equity inflows at the onset of the pandemic. However, there's a noticeable recovery in the second quarter of FY-20, aided in part by significant investments, such as Google's $10 billion injection into the Indian market.In light of these findings, the study offers several solutions to mitigate the impact of pandemics on FDI. These range from promoting investment stability, diversifying investment promotion, and supporting digital transformations, to ensuring global health preparedness and implementing robust economic recovery plans. Effective execution of these strategies, tailored to a country's specific needs, can create an environment more receptive to foreign investment

Barking up which tree? Characterizing farmers, farms, and a behavioral framework regarding livestock guardian dog use in South Africa

Livestock guardian dogs are one of several predator control methods employed by livestock farmers around the world, but little is known about the factors that predict their use. Here we aim to understand the dimensions which influence guardian dog use by farmers. In a quantitative survey among 113 livestock farmers in South Africa, using Boosted Regression Trees, we explored and characterized the factors associated with guardian dog use. We showed that practical factors (e.g., predator type, number of farming enterprises, mitigation methods, and the frequency and extent of specific predator problems) were more likely to be significant determinants of guardian dog use than sociodemographic factors. However, psychosocial constructs relating to wildlife value orientations, empathy for predators, tolerance to predators, tangible and intangible cost, benefits of predators, like or dislike of predators, and number of positive experiences, were also determinants of guardian dog use. Utilizing the foundational constructs of the Theory of Planned Behavior (TPB) and Wildlife Tolerance Model (WTM) we built upon these findings to show that constructs of attitude, subjective norms, and perceived behavioral control explained 49 % of the variance in behavioral intention to use or continue using a guardian dog. The relationship between attitude and the behavioral intent to use or continue using a guardian dog had less significant association with guardian dog use than either perceived behavioral control or subjective norms had. Nonetheless, attitude was most strongly associated with the constructs of belief in a specific non-governmental organization, mutualistic Wildlife Value Orientations and perceptions of affordability, ease of use and the effectiveness of guardian dogs. The TPB model, incorporating elements of the WTM, provides a framework to guide and improve adoption of guardian dog programs or other intervention strategies within conservation contexts.

Health and Economic Benefits of Air Pollution Reductions in Vietnam During 2020-2021.

Objectives: This paper explores the potential reduction in the number of deaths and the corresponding economic benefits in Vietnam that could have arisen from the decreased in concentrations of particulate matter with a diameter of 2.5μm or less (PM2.5) and nitrogen dioxide (NO2). Methods: Using Global Exposure Mortality Models, we estimated the potential health and economic benefits on people aged 25 and above across Vietnam's 63 provinces. The counterfactual scenario assumed reducing PM2.5 and NO2 concentrations to levels observed during the two COVID-19 epidemic waves in 2021 with national lockdowns and activity restrictions. Results: In 2019, PM2.5 concentrations ranged from 12.8 to 40.8μg/m3 while NO2 concentrations ranged between 2.9 and 36.98μg/m3. The reduced levels of PM2.5 and NO2 resulted in 3,807 (95% CI: 2,845-4,730) and 2,451 (95% CI: 2,845-4,730) avoided deaths of adults aged 25 and above due to non-injury-related causes, respectively. Considering that every prevented death represents potential tangible and intangible cost savings, reduced levels of PM2.5 and NO2 concentrations during COVID-19 restrictions would have resulted in economic benefits of $793.0 million (95% CI: 592.7-985.4) and $510.6 million (95% CI: 381.3-634.9), respectively. Conclusion: The COVID-19 lockdown led to decreased PM2.5 and NO2 concentrations, benefiting health and economy in Vietnam. Our findings highlight the potential advantages of implementing air quality control policies in the country.

A digital twin for DNA data storage based on comprehensive quantification of errors and biases

Archiving data in synthetic DNA offers unprecedented storage density and longevity. Handling and storage introduce errors and biases into DNA-based storage systems, necessitating the use of Error Correction Coding (ECC) which comes at the cost of added redundancy. However, insufficient data on these errors and biases, as well as a lack of modeling tools, limit data-driven ECC development and experimental design. In this study, we present a comprehensive characterisation of the error sources and biases present in the most common DNA data storage workflows, including commercial DNA synthesis, PCR, decay by accelerated aging, and sequencing-by-synthesis. Using the data from 40 sequencing experiments, we build a digital twin of the DNA data storage process, capable of simulating state-of-the-art workflows and reproducing their experimental results. We showcase the digital twin’s ability to replace experiments and rationalize the design of redundancy in two case studies, highlighting opportunities for tangible cost savings and data-driven ECC development.