Economic Implications Research Articles

Sub-fertility and life style factors which affecting sub-fertility among women in Regional Director of Health Service area, Colombo

Sub-fertility and life style factors which affecting sub-fertility among women in Regional Director of Health Service area, Colombo

Exploring remanufacturing conveniency: An economic and energetic assessment for a closed-loop supply chain of a mechanical component

The concept of sustainability has become pervasive in society, compelling industries to embrace circular economy principles supported by institutions, such as the European Commission. The circular economy promotes recovery, sharing, and recycling, which poses challenges in transitioning from linear to circular models. Remanufacturing is a key strategy in this framework by enabling the recycling of discarded products, improving resource efficiency, and reducing waste. Therefore, this study investigates the key factors influencing decision-making in remanufacturing processes within the supply chains of mechanical components, identifying scenarios where remanufacturing proves to be more effective than purchasing new products. This research provides valuable insights for businesses considering the adoption of remanufacturing in their supply chains. While previous studies on remanufacturing have predominantly focused on economic aspects, this research addresses both economic and energy-related implications. The study proposes a three-stage methodology to compare three scenarios and select the optimal one: a traditional supply chain for mechanical components without remanufacturing (Scenario 1), a supply chain with remanufacturing and direct customer-manufacturer interaction (Scenario 2), and a supply chain with remanufacturing and indirect customer-manufacturer interaction facilitated by a distribution center (Scenario 3). This methodology was applied to components made of steel, aluminum, and titanium. The results reveal that the remanufacturing volume and the percentage of material preserved by conventional manufacturing process are the most critical variables to consider when evaluating the introduction of remanufacturing in supply chains. Specifically, the lower the former values the more remanufacturing tends to be preferred. Furthermore, remanufacturing is usually favored by the energetic analysis, while the economic analysis shows mixed results. The developed models and the obtained findings could assist organizations in making strategic decisions regarding end-of-life strategies and assessing the economic and energy viability of integrating remanufacturing processes into their supply chains, as opposed to favoring new component production.

Comparative Analysis of Profitability, Water and Energy Productivity in Curry Leaf Cultivation: Drip vs. Conventional Production Systems in Coimbatore district, India

The aim is to analyze the cost and returns of curry leaf production under different irrigation methods, assess water and energy productivity and draw conclusions regarding the sustainability and profitability of drip irrigation. The study utilizes a sample of 60 respondents from two blocks in Coimbatore district, employing a multi-stage random sampling technique. Primary data was collected through structured questionnaires administered via personal interviews between June and September 2023. Cost concepts were employed to calculate cultivation costs, while water and energy consumption were assessed to determine productivity. This study investigates the economic and environmental implications of adopting drip irrigation over conventional furrow irrigation for curry leaf cultivation in the Coimbatore district of Tamil Nadu, India. The results demonstrate that drip irrigation significantly reduces operational costs and improves yields compared to furrow irrigation. Gross and net incomes are substantially higher with drip irrigation, highlighting its economic advantages. Moreover, drip irrigation shows higher water and energy productivity, indicating its potential for resource conservation and sustainability. The results emphasize the importance of governmental support in promoting drip irrigation adoption to enhance water efficiency and facilitate value-added product export. In conclusion, this study highlights the significance of drip irrigation in enhancing profitability, conserving resources and promoting agricultural sustainability in curry leaf cultivation within the Coimbatore region.

Polyurethane Recycling Through Acidolysis: Current Status and Prospects for the Future

AbstractPolyurethane (PU) stands out as a crucial category of polymers which have become indispensable in improving our quality of life, revolutionizing various aspects of human existence. However, this convenience comes with a dark side – the environmental impact associated with its disposal. Nevertheless, recycling presents a promising solution, aligning with the principles of a circular economy by transforming polymer waste into new materials. A notable focus within this realm is the utilization of dicarboxylic acids (DA) as depolymerization agents, achieved through a process known as acidolysis. This method has proven to be an exceptional solution, primarily explored for recycling PU foams and subsequently employed in the production of new foams. The resulting recycled polyol finds successful applications in various PU products, including rigid and flexible foams, adhesives, and coatings. Analyzing the impact of recycled polyol on the properties of new PU products reveals interesting insights. While it slightly affects the morphology and color of foams, there is no significant impact on density or thermal conductivity. Notably, flexible foams exhibit increased stiffness when produced using recycled polyol. Additionally, the strength of PU adhesives and the surface hardness of PU coatings are enhanced with the incorporation of recycled polyol, albeit with a reduction in gloss. The recycled PU coatings also display a more hydrophobic surface. Considering both environmental and economic benefits, the advantages of this approach are evident. With the aim of catering to the needs of both the academic and industrial sectors, this review delves into the subject of PU recycling via acidolysis, subsequently exploring the utilization of recycled materials in the creation of new PU products. The review offers an in-depth explanation of the acidolysis process and thoroughly examines the degradation mechanisms involved. Additionally, it scrutinizes the impact of reaction conditions on the properties of the recycled materials and investigates their applicability in the production of novel materials. Moreover, the review presents an analysis of the environmental and economic implications associated with these processes. In summary, this review overviews the current status of acidolysis of PU and prospects for its future.

Charting the Sustainable Course: Navigating the Saudi Arabia Medical and Wellness Tourism Roadmap with Business Model Canvas (BMC)

Medical and wellness tourism has emerged as a pivotal sector with significant economic implications globally, especially after the COVID-19 pandemic. This study delves into the landscape of Saudi Arabia’s medical and wellness tourism, recognizing its importance as a key player in the tourism industry. The study aims to elevate this sector to new heights on the global stage by employing the Business Model Canvas (BMC) as a strategic tool. BMC allows for a comprehensive analysis of the medical tourism industry in Saudi Arabia, breaking down key elements across its nine blocks: key partners, key activities, key resources, value propositions, customer segments, channels, customer relationships, cost structure, and revenue streams. The results of this study shed light on the unique selling proposition (USP) as a crucial strategic step for Saudi Arabia to distinguish itself and enhance its position in the international medical tourism arena. By identifying and maximizing the unique aspects within each BMC block, the study presents a roadmap for Saudi Arabia, navigating the challenges and capitalizing on the potential of the medical and wellness tourism sector. This research serves as a guide, emphasizing the strategic importance of a well-defined business model to shape the future of medical and wellness tourism in Saudi Arabia and establish a prominent global presence.

304 What does Prop 12 mean for the swine industry

Abstract California’s Proposition 12, also known as the Farm Animal Confinement Initiative, has been fully implemented as of January 1st, 2024. This measure regulates the minimum space requirements for egg-laying hens, dairy calves raised for veal, and breeding pigs in order for the associated products to be sold within the state of California. Suppliers of these covered products need to be accredited by specific, third-party certifying agents to be certified as ‘Prop 12 compliant’. For the swine industry, the spotlight is on the housing of any female breeding pig over the age of 6 mo. These animals must be in an enclosure that allows them to lie down, stand up, turn around, and fully extend their limbs without touching the sides of their stalls or another animal (24 square feet of floor space per animal). These regulations also limit the duration of time producers can house animals in closed crates before farrowing to 5 d. While these housing regulations do not apply during the nursing phase, research contexts, during veterinary treatment or immediately before slaughter, they do apply in the post-weaning phase. This means that the animals cannot be confined for heat-checking or breeding to be considered ‘Prop 12 compliant’. These housing standards have no minimum herd size and apply to those in commercial or private farms if there will be products produced and sold. With any change to the standard operating procedures of animal husbandry, there will be some growing pains. These issues can be addressed when considerations are given to the group composition (age and size of sows), pen mixing practices (pre or post breeding), feeding schedule [collective (trough, floor fed) or individual (electronic sow feeding, free access stalls)], and, pen structural quality (flooring, enrichment). This measure will have considerable economic and ethical implications related to barn renovations, animal care staff training, and husbandry practices for the swine industry.

The role of AI-Driven predictive analytics in optimizing IT industry supply chains

This review paper examines the pivotal role of AI-driven predictive analytics in optimizing supply chain operations within the IT industry. By leveraging machine learning, deep learning, and neural networks, predictive analytics can significantly enhance demand forecasting, inventory management, supplier selection, and risk management. Despite its potential to revolutionize supply chains, the integration of AI faces challenges, including data quality, the need for skilled personnel, and organizational resistance. Strategic implementation approaches are discussed, emphasizing robust data infrastructure, stakeholder engagement, and continuous innovation. This paper contributes to the academic discourse by highlighting AI's economic and social implications in supply chains and suggesting directions for future research. It is a comprehensive guide for practitioners and academics navigating the complexities of AI-driven predictive analytics in supply chain optimization. Keywords: AI-driven Predictive Analytics, Supply Chain Optimization, IT Industry, Machine Learning, Strategic Implementation.

The impact of brain cancer care coordinators on healthcare utilization and outcomes in patients with glioblastoma

Abstract Background Cancer care coordinators (CCCs) are recognized as having an important role in patients’ and carers’ cancer journey. However, there are no studies investigating the impact of CCCs on quantitative outcomes. We performed a retrospective cohort study investigating the impact of brain cancer care coordinators (BCCCs) on health service resource use and survival in patients with glioblastoma. Methods All patients diagnosed with glioblastoma between 2012 and 2019 in Hunter New England Local Health District, Australia (HNELHD) were included and the patients were divided into 2 cohorts: before and after the introduction of the BCCC. Any patient diagnosed in 2016, during the introduction of the BCCC, were excluded. The main outcomes assessed were overall survival, health service resource use, odds of being admitted to hospital after the emergency presentation, and cost-offset analysis to examine the economic implications of BCCCs. Results A total of 187 patients were included. There were no significant differences in overall survival between the 2 groups (mOS 12.0 vs 11.16 months, HR 0.95). However, there was a reduction in the number of ED presentations and admissions. This was associated with a 24% reduction in aggregate length of stay with the BCCC. There was no statistically significant difference in mean patient costs, however our hospital may have saved over AUD$500 000 with BCCCs. Conclusions The introduction of BCCC did not improve survival but appeared to be associated with reduced health resource utilization. This study provides economic justification, in addition to the established quality of life improvements, to support the presence of BCCCs.

Economic evaluation of Be a Mom, a web-based intervention to prevent postpartum depression in high-risk women alongside a randomized controlled trial

BackgroundPostpartum depression (PPD) poses significant challenges, affecting both mothers and children, with substantial societal and economic implications. Internet-based cognitive behavioral therapy interventions (iCBT) offer promise in addressing PPD, but their economic impact remains unexplored. This study aimed to evaluate the cost-utility of Be a Mom, a self-guided iCBT intervention, compared with a waiting-list control among postpartum women at high risk of PPD. MethodsThis economic evaluation was conducted alongside a 14-month randomized controlled trial adopting a societal perspective. Participants were randomized to Be a Mom (n = 542) or a waitlisted control group (n = 511). Self-report data on healthcare utilization, productivity losses, and quality-adjusted life years (QALYs) were collected at baseline, post-intervention, and 4 and 12 months post-intervention. Incremental cost-effectiveness ratios (ICERs) were calculated, and cost-effectiveness acceptability curves were generated using nonparametric bootstrapping. Sensitivity analyses were conducted to assess result robustness. ResultsOver 14 months, Be a Mom generated a QALY gain of 0.0184 (0.0022, 0.0346), and cost savings of EUR 34.06 (−176.16, 108.04) compared to the control group. At a willingness to pay of EUR 20,000, Be a Mom had a 97.6 % probability of cost-effectiveness. LimitationsResults have limitations due to self-selected sample, potential recall bias in self-reporting, missing data, limited follow-up, and the use of a waiting-list control group. ConclusionsThis study addresses a critical gap by providing evidence on the cost-utility of an iCBT intervention tailored for PPD prevention. Further research is essential to identify scalable and cost-effective interventions for reducing the burden of PPD.

Epidemiological and health economic implications of symptom propagation in respiratory pathogens: A mathematical modelling investigation.

Respiratory pathogens inflict a substantial burden on public health and the economy. Although the severity of symptoms caused by these pathogens can vary from asymptomatic to fatal, the factors that determine symptom severity are not fully understood. Correlations in symptoms between infector-infectee pairs, for which evidence is accumulating, can generate large-scale clusters of severe infections that could be devastating to those most at risk, whilst also conceivably leading to chains of mild or asymptomatic infections that generate widespread immunity with minimal cost to public health. Although this effect could be harnessed to amplify the impact of interventions that reduce symptom severity, the mechanistic representation of symptom propagation within mathematical and health economic modelling of respiratory diseases is understudied. We propose a novel framework for incorporating different levels of symptom propagation into models of infectious disease transmission via a single parameter, α. Varying α tunes the model from having no symptom propagation (α = 0, as typically assumed) to one where symptoms always propagate (α = 1). For parameters corresponding to three respiratory pathogens-seasonal influenza, pandemic influenza and SARS-CoV-2-we explored how symptom propagation impacted the relative epidemiological and health-economic performance of three interventions, conceptualised as vaccines with different actions: symptom-attenuating (labelled SA), infection-blocking (IB) and infection-blocking admitting only mild breakthrough infections (IB_MB). In the absence of interventions, with fixed underlying epidemiological parameters, stronger symptom propagation increased the proportion of cases that were severe. For SA and IB_MB, interventions were more effective at reducing prevalence (all infections and severe cases) for higher strengths of symptom propagation. For IB, symptom propagation had no impact on effectiveness, and for seasonal influenza this intervention type was more effective than SA at reducing severe infections for all strengths of symptom propagation. For pandemic influenza and SARS-CoV-2, at low intervention uptake, SA was more effective than IB for all levels of symptom propagation; for high uptake, SA only became more effective under strong symptom propagation. Health economic assessments found that, for SA-type interventions, the amount one could spend on control whilst maintaining a cost-effective intervention (termed threshold unit intervention cost) was very sensitive to the strength of symptom propagation. Overall, the preferred intervention type depended on the combination of the strength of symptom propagation and uptake. Given the importance of determining robust public health responses, we highlight the need to gather further data on symptom propagation, with our modelling framework acting as a template for future analysis.

Clinical and economic implications of using daratumubab with lenalidomide in the 1st and 2nd lines of therapy for multiple myeloma patients

Objective: to assess clinical and economic implications of adding daratumumab (Dara) to the “lenalidomide + dexamethasone” (Rd) treatment program in early lines of therapy for patients with multiple myeloma (MM) ineligible for high-dose chemotherapy (HDCT) with subsequent autologous hematopoietic stem cell transplantation (autoHPSCT).Material and methods. Partitioned survival model was developed to compare overall survival in the treatment programs of MM patients in the 1st to 3rd lines of therapy. The following treatment options were included in the analysis: 1st line – Dara+Rd; 2nd line – “carfilzomib + lenalidomide” (K+Rd) or “ixazomib + lenalidomide” (Ixa+Rd) triplets; 3rd line – pomalidomide (Pom+dex) and Rd+(Dara+Rd)+(Pom+dex) versus Rd+(K/Ixa+Rd)+(Pom+dex/Dara). Probabilities of transition between health states (progression-free, progressed disease, and death) were based on published clinical data. Lifetime direct healthcare costs and incremental cost-effectiveness ratios (ICERs) per 1 life year gained were calculated from a Russian health care perspective. The indicator of the difference in costs between current and expected practice was used in budget impact analysis.Results. Dara+Rd combination increased life expectancy by 1.04 years (+16.05%) and 0.95 years (+14.57%) per patient, and in the target population (n=955) by 995.48 and 903.40 years for (Dara+Rd)+(K+Rd)+(Pom+dex) and (Dara+Rd)+(Ixa+Rd)+(Pom+dex) treatment programs, respectively, compared to Rd use in the 1st line. The ICER per 1 life year gained for Dara+Rd in 1st line therapy was 8.95 mln rubles for (Dara+Rd)+(K+Rd)+(Pom+dex) and 8.41 mln rubles for (Dara+Rd)+(Ixa+Rd)+(Pom+dex). It's lower than the median ICER of 13.64 million per 1 life year gained for antitumor drugs used to treat cancer of lymphatic and hematopoietic tissues (reference ICER). Dara+Rd triplet is used in 2nd line therapy after Rd, the number of life years gained in the target population due to greater efficacy is higher by 291.50 years compared with K+Rd and by 203.93 years compared with Ixa+Rd. The ICER per 1 life year gained for Dara+Rd is also lower than the ICER reference value: 9.25 mln rubles versus 13.64 mln rubles. The budget impact analysis showed that using Dara in early stages of MM therapy does not increase drug provision costs in the target population.Conclusion. The obtained results allowed to conclude that it is economically feasible to add Dara to the 1st and 2nd lines of therapy in lenalidomide treatment programs for MM patients who are not candidates for HDCT with autoHPSCT.

IMPACT OF ARTIFICIAL INTELLIGENCE ON SOCIETY: RISK AND CHALLENGES

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and act like humans. These machines are designed to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI technologies include machine learning, which enables computers to learn from experience and improve their performance over time without being explicitly programmed, and deep learning, which uses neural networks to process complex patterns and data. AI has applications in various fields, including healthcare, defence, transportation, education, and labour market, and its development has raised ethical, social, educational, and economic implications. The main objective of the study is to explore the literature on the artificial intelligence, its impact on society as well as challenges and risks posed by AI. Recently AI has been utilized in various fields. To cover various societal aspects, literature has been reviewed from various disciplines where AI is applied. These areas include healthcare, automobiles, education, labour market, defence, entertainment, computation, and security. These articles are retrieved from peer-reviewed sources based on the keywords suggesting the role of AI, forecasting & assessment of impact, behavioural & ecological aspects of AI, and AI's relation to employment. In this study it has been concluded that application of Artificial Intelligence has transformed the conventional ways of almost every area of modern society by bringing the significant changes in the industry, commerce, defence, education, labour market and healthcare services. But it has raised certain concerns also such as automation leads to job displacement and economic inequality concentrating revenue among fewer individuals. AI supported Autonomous Weapons to kill could cause mass casualties if misused. Hence the idea is both devastating and exciting and the application of AI should be carefully monitored.

Protecting Patients And Society In An Era Of Private Equity Provider Ownership: Challenges And Opportunities For Policy.

Private equity (PE) acquisitions in health care delivery nearly tripled from 2010 to 2020. Despite concerns around clinical and economic implications, policy responses have remained limited. We discuss the US policy landscape around PE ownership, using policies in the European Union for comparison. We present four domains in which policy can be strengthened. First, to improve oversight of acquisitions, policy makers should lower reporting thresholds, review sequential acquisitions that together affect market power, automate reviews with potential denials based on market concentration effects, consider new regulatory mechanisms such as attorney general veto, and increase funding for this work. Second, policy makers should increase the longer-run transparency of PE ownership, including the health care prices garnered by acquired entities. Third, policy makers should protect patients and providers by establishing minimum staffing ratios, spending floors for direct patient care, and limits on layoffs and the sale of real estate after acquisition (forms of "asset stripping"). Finally, policy makers should mitigate risky financial behavior by limiting the amount or proportion of debt used to finance PE acquisitions in health care.

Research and development expenditure gap: does women’s political empowerment matter?

ABSTRACT Sustained economic growth has been high on the list of priorities of many developed and developing nations, and the importance of new technology to sustained economic growth has long been recognized in the literature. Despite the extent of this literature and the importance of innovation to economic outcomes, surprisingly little is known about the effect of women’s political empowerment in the research sector. This study proposes filling this gap by examining the effect of women’s political empowerment on research and development expenditure. Using data from 66 developed and developing countries and system GMM estimation, we show that women’s political empowerment has exerted, on average, a positive effect on research and development investment. Moreover, further study shows that women's level of participation in civil society has the largest effect, followed by women’s civil liberties. By analyzing these underlying transmission channels, we find that this effect is partly due to the positive effects of women's political empowerment on the accumulation of human capital and on institutional quality, which in turn improve the level of spending on research and development. Based on these results, economic policy implications are discussed.

Colouring solutions for building integrated photovoltaic modules: A review

As global decarbonisation requires the widespread adoption of solar photovoltaic (PV) electricity, addressing challenges related to land use has become relevant. The conflict between PV installations and other land uses, such as forestry or agriculture, highlights the urgency for alternative solutions. Integrating PV technology into the built environment is a compelling strategy to mitigate these challenges, enabling electricity generation precisely where it is needed. In the context of buildings integrated photovoltaics (BIPV), PV modules serve a dual purpose, functioning both as electricity generators and integral components of the architectural design. Therefore, the architecture requirements — specifically in terms of shape, size, and colour— become relevant for BIPV modules. This paper offers a general overview of the diverse colouring technologies employed for BIPV modules, describing their functioning, challenges, and advantages. An examination of the current landscape of coloured PV products involving considerations of pricing and power output is presented. Additionally, this work addresses the critical topics of reliability and stability in colour solutions, outlining methodologies for quantitative colour characterization. It provides foresight into the potential challenges facing installations in the future and explores the multifaceted social, economic, and environmental implications of this evolving technology.

Carbon border adjustment mechanism challenges and implications: The case of Visegrád countries

Stricter climate policies across the European Union are enhancing the phenomenon of free riding by nonacting countries, which translates into carbon leakage and loss of competitiveness. This paper investigates the trade, economic and environmental implications of the future implementation of a carbon border adjustment mechanism (CBAM) in Visegrád countries as EU member states. We exploit trade data to estimate price and income elasticities for emission-intensive trade-exposed (EITE) goods imported from non-EU trading partners to Visegrád countries. Based on these estimates, which are combined with the average carbon intensity of the EU's proposed list of EITE goods, we simulate the implications of six different configurations of restrictiveness of the CBAM imposed on imports from non-EU countries. We find that a high price elasticity and carbon intensity tend to significantly decrease import demand for EITE goods under the CBAM. Moreover, future CBAM implementation will yield a relatively small adverse impact on economic growth in Visegrád countries and a small decrease in total carbon emissions in non-EU countries.

Home-visiting Parenting Programs to Improve Mother-Infant Interactions at Early Ages: A Systematic Review.

Objective: To systematically review studies examining the effects of home-visiting preventive parenting programs (HV-PPs) on improving the quality of mother-child interactions in early childhood. Method: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocol, we identified 3,586 studies published between 2018 and 2022 by searching the following databases: PubMed, Web of Science, BVS/LILACS, SciELO, and PsycNET/PsycINFO. After applying the eligibility criteria, 17 articles were selected for review. Results: Most studies were conducted in high-income countries (53%) and the remainder were conducted in upper-middle-income countries, predominantly using a randomized controlled trial design and with strong methodological quality. The 17 studies applied 13 different HV-PPs, predominantly using video feedback, based on various dosages and schedules. Most studies (77%) showed significant positive effects on mother-child interactions by improving mainly positive maternal behaviors (e.g., sensitivity and responsiveness). Positive effects occurred independent of the study design, sample characteristics, measures, and constructs assessed. However, the findings suggest that the combination of fewer than six sessions, durations shorter than three months, and a very early start did not impact mother-child interactions, as expected. Few studies have explored negative maternal behaviors, children's behaviors, and dyadic interactions such as mutuality and synchrony. Conclusions: HV-PPs positively impacted mother-child interactions in early childhood despite the large heterogeneity across program designs, outcome measures, and overlapping constructs. Based on the results, we discuss the practical and economic implications of using parenting programs as a preventive approach.

Exploring a pathway to optimise the carbon tax policy in terms of the economy, the environment and health: A scenario-based system dynamics approach

The carbon tax, a pivotal policy instrument in tackling climate change, holds the potential to significantly influence the development of society. To comprehensively analyse the effectiveness of the policy on carbon taxation and explore its possible optimisation path, this study utilizes system dynamics theory to establish a simulation model. A detailed analysis and evaluation of this policy is then conducted from the perspectives of the economy, the environment, and health. To guarantee the precision of the simulation model, a new, comprehensive evaluation method is proposed, which can test the degree of fit of the relative trend and absolute data of the simulation model with reality. The findings reveal that, despite its negative economic implications, a carbon tax policy has positive ramifications for the environment, energy, health, industrial structure, and carbon intensity targets. Furthermore, the synergistic reinforcement effect of R&D and new energy support policies on carbon taxation surpasses the impact of any individual policy alone. Notably, the influence of auxiliary policies has a temporal difference on this policy. Based on these insights, the study concludes with practical policy recommendations.

Letter to the Editor: Exploring the Economic Implications of Neurosurgical Interventions in Low-to-Middle Income Healthcare Setting: A Correspondence

Letter to the Editor: Exploring the Economic Implications of Neurosurgical Interventions in Low-to-Middle Income Healthcare Setting: A Correspondence

The effect of oil discovery in Brazil: A synthetic control approach

This study explores the economic impact of Brazil's discovery in 2006 of significant deepwater pre-salt oil reserves. Employing a synthetic control approach using counterfactual data from comparable nations, we estimate the influence on Brazil's real per capita GDP for 2006–2014. Our analysis reveals that the oil discovery resulted in an annual increase of approximately USD 100 in real GDP per capita, with the growth effects commencing in 2008 and gradually waning by 2014. These findings contribute to a deeper understanding of the economic implications of oil discovery in the Brazilian context, providing valuable insights for investors and policymakers making strategic energy policy.