Purchasing Power Parity Research Articles

Global and Regional Economic Burden of Eating Disorders: A Systematic Review and Critique of Methods.

This systematic review aims to comprehensively examine up-to-date evidence on the economic burden of eating disorders (EDs), both globally and by region. A comprehensive search within five electronic databases, MEDLINE, Embase, CINAHL, PsycINFO, and EconLit, retrieved studies published from August 1, 2013, to June 30, 2024. Cost of illness (COI) studies, burden of disease, and other cost studies that reported costs in monetary values were included, and cost-effectiveness analysis studies were excluded. The quality of COI studies was assessed using Schnitzler's checklist. All cost estimates were converted into 2024 USD purchasing power parity (PPP). The PROSPERO registration number is CRD42022358136. Twenty-six studies were identified for inclusion in this review, with 11 COI studies. The nationwide annual financial cost of EDs is estimated at PPP-USD 70.5 billion. Indirect costs contributed 70%-93% of total financial costs in the reviewed studies. Intangible costs (burden of disease) were estimated to be PPP-USD 355.6 billion. About half of the COI studies met 60% of the elements of Schnitzler's checklist, either completely or partly. The number of COI studies has more than doubled in the last 10 years. Findings can inform healthcare administrators/policymakers to understand the magnitude of this burden when setting healthcare priorities and allocating resources to maximize social welfare. However, there are variations in the methods (thus quality) and perspectives used to assess this economic burden. Findings suggest that there is potential for enhancing the methodological rigor of future research.

Calculation of the Equal Education Cost Index in Indonesia: Using the Relative Importance Regression and Winsorization Approach

This study examines index calculations in determining the unit costs of equivalent education using an empirical approach. The composite index used in this study compares the Construction Cost Index (CCI) to Purchasing Power Parity (PPP). The current empirical literature requires further development on calculation and comparison methods for these two indices. The study employed data from the Indonesian Central Statistics Agency (CSA), including the Construction Cost Index (CCI) and Purchasing Power Parity (PPP) data from 2021, as well as data on the allocation of School Operational Assistance (SOA) funds for non-formal education in 2022. The results indicate that the weight value of CCI is more substantial than that of PPP. The multiple regression analysis conducted with a relative importance approach reveals a favourable correlation between CCI and PPP, indicating a strong interrelationship. Received: 2 August 2024 / Accepted: 30 October 2024 / Published: 05 November 2024

Consumption and expenditure of antidepressants and anxiolitycs in 14 European countries

Abstract Background Since the burden of depressive and anxiety disorders, assessing the use and spending of drugs commonly prescribed for treating such conditions is a valuable barometer of mental health assistance and healthcare services. The current research aims to evaluate the consumption of antidepressants and anxiolytics and the relative expenditure among 14 European countries (Austria, Czech Republic, Finland, Germany, Hungary, Italy, Latvia, Luxembourg, Norway, Portugal, Slovak Republic, Slovenia, Spain and Sweden). Methods A retrospective longitudinal study was assessed based on pooled time series analysis of secondary data over ten years (2012-2021). Defined Daily Doses (DDD) per 1,000 inhabitants and health expenditure per capita (current US$, computed on purchasing power parity) were considered. Linear and quadratic trends were calculated for defining relationships between the variables of interest. Results Prevailing patterns of consumption and spending show an increase in antidepressants and a decrease in anxiolytics. Noteworthy is the growth slope of antidepressant consumption in three selected countries, Portugal, Spain, and Sweden, by over two and a half times from 2012 to 2021. In addition, for a few countries, there is a pattern contrary to most countries for anxiolytics (Latvia, Spain) and discordant between consumption and expenditure for antidepressants (Austria, Hungary). Conclusions The widespread growth of antidepressant use deserves attention. As a public health issue, the prescription and use of antidepressants should be addressed by targeted policies for integrating multifaceted strategies. Key messages • Monitoring consumption and expenditure of antidepressant and anxiolytic drugs represents a valid tool for assessing the efficacy and availability of mental healthcare services among the population. • The growth in the consumption of antidepressants represents a relevant public health issue and deserves attention for the evaluation of an integrated approach of assistance.

Determinants of Healthcare Expenditure: A Cross-Sectional Analysis at the Country Level

This study examines the determinants of healthcare expenditure through a cross-sectional analysis of 153 countries using 2018 data. The research employs a classical linear regression model to identify key socioeconomic and demographic factors influencing healthcare spending per capita, expressed in PPP (Purchasing Power Parity). The results show that GDP per capita, public health expenditure as a percentage of GDP, physician availability, and out-of-pocket healthcare costs are statistically significant determinants of healthcare spending. Specifically, the analysis highlights the non-linear relationship between GDP and healthcare expenditure, where wealthier nations tend to spend disproportionately more on healthcare. Public investment in healthcare and the availability of medical professionals also play crucial roles in shaping national healthcare expenditures. Out-of-pocket expenses by households further increase overall healthcare costs, especially in countries with lower public funding. The proposed model explains 96.5% of the variation in healthcare expenditure, suggesting that the selected variables are strong predictors of healthcare spending. These findings provide valuable insights for policymakers, particularly in the context of balancing public healthcare financing and improving access to medical services while managing overall costs.

Cost of Illness Studiesin clinical depression Using Discounting Methods: A Comprehensive Analysis

Abstract:This research delves into the intricate domain of Cost of Illness (COI) studies, also known as Burden of Disease (BOD), with a specific focus on depressive disorders. Employing a bottom-up approach, the study meticulously scrutinizes the economic implications of depression at various levels, emphasizing direct and indirect costs. The analysis integrates a detailed exploration of diverse discounting methods, including Net Present Value (NPV) and Discounted Cash Flow (DCF), with a particular emphasis on the Indian context to comprehend unique socio-economic factors.Methodologically, the study systematically reviews scientific literature over the past decade, utilizing databases such as Web of Science and Google Scholar. The inclusion criteria prioritize patient-based studies related to the cost of illness associated with depression. The research adopts a comprehensive approach, considering various methodologies and discounting techniques to enhance the understanding of economic implications.The comparative analysis of the total cost of illness across diverse countries unravels significant variations, highlighting the intricate nature of healthcare expenditures and economic structures. Specific breakdowns for each country consider factors suchas currency exchange rates, inflation, and Purchasing Power Parity (PPP) adjustments, shedding light on the complexities involved.The study across five countries highlights significant variations in depression-related costs. Direct medical costs have a mean of $42,668 (SD=16,940) with a high t-statistic of 27.83 (p-value 0.001), emphasizing substantial differences. Direct non-medicalcosts average $27,171 (SD=13,220) with a t-statistic of 14.07 (p-value 0.001), indicating a notable economic burden beyond medical expenses. Indirect costs related to depression stand at a mean of $63,816 (SD=25,230), with a t-statistic of 35.30 (p-value 0.001), highlighting significant impacts on productivity and societal costs. The total cost of illness, encompassing both direct and indirect costs, averages $113,590 (SD=43,990), with a t-statistic of 49.49 (p-value 0.001), reflecting the extensive economic implications of depression across these diverse nations.In conclusion, this comprehensive analysis contributes depth to our understanding of the economic impact of depressive disorders, providing valuable insights for policymakers, healthcare providers, and researchers. The research underscores the multifacetednature of the economic burden of depression, emphasizing variations across countries and advocating for comprehensive, context-specific approaches in assessing and addressing global implications. Acknowledging challenges with discounting methods, the paper identifies opportunities for refining methodologies and improving economic evaluations in the future, emphasizing the importance of nuanced insights for effective policymaking and healthcare strategies on a global scale.

Income level as a differentiating factor in assessing the impact of migration on economic growth

Aim. To study the nature of the impact of migration on economic growth depending on the level of gross domestic product (GDP) per capita and the direction of migration flows.Objectives. Study of theoretical approaches to the research of the impact of labor migration on economic growth; analysis of factors that differentiate the assessment of the impact of migration flows on economic growth indicators; collection and analysis of statistical information for the development of econometric models for assessing the impact of migration on economic growth.Methods. The authors used general scientific methods of research, such as deduction, analysis, synthesis. Statistical methods of data analysis were applied, linear regression models were built.Results. The research shows that the impact of migration on economic growth in countries with different levels of GDP per capita is due to different factors. For developed economies, the positive factors of the impact of immigration on economic growth are replenishment of scarce labor resources; improvement of labor force quality due to structural changes caused by the transition of the permanent working-age population to new professional fields. For countries with a low level of GDP per capita we can identify a number of positive factors of the impact of emigration (with a negative balance of migration growth) on economic growth. In particular, the outflow of excess labor force creates conditions for reducing unemployment; remittances of migrants support effective demand in the consumer market, contribute to the development of the banking system and investment in the country of origin; the expansion of social ties leads to the development of human capital, increasing the potential for innovation.Conclusions. The value of correlation coefficients in the constructed regression models indicates that there is a weak correlation between the variable characterizing the volume and nature of migration in the country (the ratio of migration balance to population) and the variable characterizing economic growth (GDP per capita at purchasing power parity) only for the group of high-income countries. There is little statistical dependence of these variables for other groups of countries. With regard to econometric modeling of the impact of migration on economic growth, this means that it is necessary to develop separate models for each group of countries depending on the level of GDP per capita and the direction of migration flows.

Better cigarette tax policies and higher tobacco excise tax revenues

BackgroundIn November 2021, the Tobacconomics team published the second edition of the Cigarette Tax Scorecard which evaluates cigarette taxation in each country based on four components—cigarette price, affordability change, tax...

The economic cost of malaria in Brazil from the perspective of the public health system.

This paper presents an economic evaluation aimed at estimating malaria-related health care expenditures in Brazil from the perspective of the public health system. Comprehensive estimates of the costs of malaria remain scarce, in part because of limited data. Brazil has a universal health system (Sistema Único de Saúde-SUS) in which all cases of malaria are diagnosed and treated. In addition, antimalarial drugs are only available through the SUS. We compiled comprehensive data from multiple administrative sources. Expenditure indicators were calculated for municipalities and states in the Brazilian Amazon, a region where more than 99% of the country's malaria cases are concentrated. We also developed a digital platform that allows interactive visualization of the malaria cost indicators, disaggregated by cost type and geography. Our results show that control and prevention activities are the primary cost in all states, followed by human resources and disease treatment. Expenditures per malaria notification in the Amazon ranged from PPP (purchasing power parity)-US$59.00 (2017) to PPP-US$77.00 (2016), while per capita expenditures remained relatively stable at around PPP-US$3.50. The malaria cost estimates presented here contribute to a better negotiation of the financial resources needed by the NMCP and are one of the critical pieces of information for a strategic plan of activities needed to achieve the elimination goal.

Open Access Publishing Metrics, Cost, and Impact in Health Professions Education Journals

Publishing in health professions education (HPE) journals is an integral component of academic discourse and career progression. Research in this field is shifting to an open access (OA) publishing model. To identify the characteristics and publishing models of HPE journals and explore potential associations between publication costs and journal metrics. This cross-sectional study was conducted between September 20, 2023, and February 14, 2024, using the World Bank purchasing power parity (PPP) index to analyze relative costs of article processing charges (APCs). Data on journal characteristics, impact metrics, APCs, and waiver or discount were extracted from the National Library of Medicine, Scimago, Scopus, journal websites, and email correspondence with editorial staff of journals. All HPE journals indexed in PubMed, written in or translated into English, and with HPE as a core component of their mission were included in the analysis. Two-year impact factor, H-index, cite score, Scientific Journal Ranking, and APC. Among the 51 journals included, 27 (53%) adopted OA-only and 24 (47%) adopted hybrid publishing models. The median (IQR) APC for all journals was $2820.00 ($928.00-$3300.00). Associations were observed between impact factor and APC (β coefficient, $386.84; 95% CI, $226.84-$546.84; P < .001) and between cite score and APC (β coefficient, $282.40; 95% CI, $148.12-$416.61; P < .001). Of 20 journal websites with information regarding fee waivers or discounts, 7 journals (35%) confirmed fee waiver or discount. The PPP index analysis of the top 39 countries publishing HPE research showed that the financial burden of meeting the median APC for publication was 1.94 to 10.26 times higher for authors from lower-income countries than for authors from the US. Results of this cross-sectional study suggest that adoption by HPE journals of an OA publishing model was high but access to APC waivers or discounts was limited. These factors create barriers to equitable OA practices, necessitating concerted efforts, such as increasing transparency of publishing costs, implementing economic impact analysis, expanding waivers to eligible authors, and applying holistic impact factor scoring.

Research and Enlightenment of Purchasing Power Parity Test

Purchasing Power Parity (PPP) is the cornerstone of many theoretical models in international finance. The PPP test is of great importance to market participants, central banks and policy makers. This paper reviews the relevant literature on the validity test of PPP in recent years: involving micro and macro directions, which are embodied in four aspects: empirical, model, exchange rate and evaluation. Although the research and application of PPP test have made great progress, there are still some problems and challenges. With the continuous development of the global economy and the improvement of data availability, the future research on PPP test will be more in-depth and comprehensive.

Bangladesh-China-India-Myanmar (BCIM) – Economic corridor: an opportunity for regional connectivity and development cooperation in south and Southeast Asia

China is the largest country in terms of the purchasing power parity (PPP); and the country has started to invest hugely in the developing countries of the Southeast Asia, South Asia, Africa, Central Asia and the Middle-East. It wants to be connected with Europe, Africa and Middle East through its economic corridors such as BCIM, BRI, MSR and OBOR. It can be mentioned here that most of the South and Southeast countries are poor and need huge investment in the infrastructural projects. Therefore, the concept of BCIM is a win-win geostrategic and economic policy for South, Southeast and China. On the other hand, India is largest country in terms of the size of population; and its economy is also rising rapidly. And this country also needs huge investment and development cooperation from the different countries including China. Besides, Bangladesh is a lower middle-income country; it also wants to grow rapidly in terms of economic growth, transfer of technology and infrastructural developments. On other hand, Myanmar is a developing country in Southeast Asia which requires vast developments, transfer of technology, foreign investments in the coastal regions and regional connectivity for economic growth and development. Therefore, carrying out study on BCIM economic corridor is extremely important in the region. It’s a qualitative study in the context of mythology. This study has found that implementation of BCIM economic corridor is very important for South and Southeast Asia including Bangladesh for regional connectivity, trade and investment and development cooperation.

What are the reported procedural costs of vascular access surgery?

Since the inception of arteriovenous grafts (AVG) as a novel technique, there has been greater emphasis on the assessment of outcomes rather than costs. Gross-costing methods over-simplify vascular access surgery and do not reflect the true costs of the service, preventing accurate cost-effectiveness analysis. The aim of this study is to assess the reporting of procedural costs of arteriovenous access creation in economic analyses of vascular access surgery, and to compare the reported costs of the two most performed procedures - arteriovenous fistula (AVF) and arteriovenous graft (AVG). This systematic review included studies reporting a per-procedure cost for AVF or AVG creation. Costs were adjusted from original to target price year using a Gross Domestic Product (GDP) deflator index and converted to 2021 US Dollars using conversion rates based on purchasing power parities. The results demonstrate wide discrepancy in the reported procedural costs of arteriovenous access creation. Most of the data represents retrospectively observed costs rather than prospective data collected on an intention-to-treat basis. Charges are frequently presented in lieu of costs, and aggregated gross-costing methodology predominates rather than more accurate micro-costing. Future micro-costing studies of vascular access surgery are essential to allow a greater understanding of cost-drivers and allow accurate cost-effectiveness analysis.

Manufacturing and the real exchange rate: natural resource rents matter when measuring misalignments

ABSTRACT We analyse the relationship between the share of manufacturing in GDP and real exchange rate misalignments based on the purchasing power parity criterion (PPP) and a sample of 102 developing and transition economies (2003–2019). In a departure from usual practice, we subtract natural resource rents from GDP in order to correct misalignments for the productivity bias. A dynamic threshold panel model is used and we separate out the impact of undervaluation and overvaluation components in the same regression. Overvaluation has a negative linear effect, while undervaluation stimulates the manufacturing sector in a non-linear way. Above an 18% threshold, the marginal effect of undervaluation diminishes.

VIKSHIT BHARAT @ 2047: PATHWAY TO SUSTAINABLE AGRICULTURE DEVELOPMENT IN INDIA

India’s economic growth is projected to reach 8.2%in 2023-24(National Statistical Office).It is to be ranked fifth globally in terms of GDP and third in Purchasing Power Parity (PPP) in 2024. The IMF estimates that India’s GDP will grow by 7% in 2024. As India approaches 2047, celebrating 100 years of independence, the vision of “Vikshit Bharat @2047” (Developed India) is emerging, aiming to move to a High-income status and surpass $30 trillion GDP. This study explores the role of sustainable agricultural development in achieving the vision of “Vikshi Baharat”, focusing on incorporating advanced technologies into farming practices. The study explores the potential of innovations such as Precision Farming, Biotechnology, Machine Learning and Digital Agricultural, along with Sustainable Farming Practices, Water Resource Management, Soli Health Practices and Supporting Policy. Furthermore, the study highlights the importance of Agricultural Finance and Public-Private Partnership in economic development.

Lifestyle and Cardiometabolic Risk Factors Associated with Impoverishment Due to Out-of-Pocket Health Expenditure in São Paulo City, Brazil.

The rise in obesity and related chronic noncommunicable diseases (NCDs) during recent decades in Brazil has been associated with increases in the financial burden and risk of impoverishment due to out-of-pocket (OOP) health expenditure. Thus, this study investigated trends and predictors associated with impoverishment due to health expenditure, in the population of São Paulo city, Brazil, between 2003 and 2015. Household data from the São Paulo Health Survey (n = 5475) were used to estimate impoverishment linked to OOP health expenses, using the three thresholds of International Poverty Lines (IPLs) defined by the World Bank at 1.90, 3.20, and 5.50 dollars per capita per day purchasing power parity (PPP) in 2011. The results indicated a high incidence of impoverishment due to OOP disbursements for health care throughout the period, predominantly concentrated among low-income individuals. Lifestyle choices referring to leisure-time physical activity (OR = 0.766 at $3.20 IPL, and OR = 0.789 at $5.50 IPL) were linked to reduction in the risk for impoverishment due to OOP health expenditures whilst there were increases in the probability of impoverishment due to cardiometabolic risk factors referring to obesity (OR = 1.588 at $3.20 IPL, and OR = 1.633 at $5.50 IPL), and diagnosis of cardiovascular diseases (OR = 2.268 at $1.90 IPL, OR = 1.967 at $3.20 IPL, and OR = 1.936 at $5.50 IPL). Diagnosis of type 2 diabetes mellitus was associated with an increase in the probability of impoverishment at only the $1.90 IPL (OR = 2.506), whilst coefficients for high blood pressure presented lack of significance in the models. Health policies should focus on interventions for prevention of obesity to ensure the financial protection of the population in São Paulo city, Brazil, especially targeting modifiable lifestyle choices like promotion of physical activity and reduction of tobacco use.

Poverty and Prices: Assessing the Impact of the 2017 PPPs on the International Poverty Line and Global Poverty

Abstract Purchasing power parities (PPPs) are used to estimate the international poverty line (IPL) in a common currency and account for relative price differences across countries when measuring global poverty. This paper assesses the impact of the 2017 PPPs on the nominal value of the IPL and global poverty. Updating the $1.90 IPL in 2011 PPP dollars to 2017 PPP dollars results in an IPL of $2.15—a finding that is robust to various methods. Based on an updated IPL of $2.15, the global extreme poverty rate in 2017 falls from the previously estimated 9.3 to 9.1 percent, reducing the count of people who are poor by 15 million. This is a modest change compared with previous updates of PPP data. The paper also assesses the methodological stability between the 2011 and 2017 PPPs, scrutinizes large changes at the country level, and updates alternative, complementary poverty lines with the 2017 PPPs.

Cost-utility evaluation of a health and social care integration programme for frail older adults in Argentina

PurposeOur objective was to evaluate the cost-utility of a health and social care integration programme for frail older adults in Buenos Aires, Argentina.Design/methodology/approachBased on a study of the programme’s effectiveness, a Markov model was conducted to assess its cost-utility. The active intervention was the health and social care integration programme, and the control was the best standard of care so far. The setting was the patients' home of residence. A third-party payer perspective and a lifelong time horizon were adopted. All transition probabilities, quality-adjusted life years (QALYs) and costs were estimated from the effectiveness study. A discount rate of 3.5% was applied to costs and benefits. Costs are expressed in international dollars (Int$), calculated according to the International Monetary Fund’s purchasing power parity rate. Different sensitivity analyses were performed. The model was built in Excel 365. Construct validity, verification during model construction and internal consistency of the results were assessed.FindingsThe programme had an average cost of Int$18,768.22/QALY, and the control Int$42,609.68/QALY. In the incremental analysis, the programme saved Int$26,436.10 and gained 0.81 QALYs over the control. In the sensitivity analyses, in 99.96% of cases, the programme was less costly and more effective.Practical implicationsThe cost savings can facilitate the scalability.Originality/valueThe health and social care integration programme for frail older adults was more effective and less costly than the best standard of care to date. This study contributes to the scarce evidence on the efficiency of integrated care strategies for frail older persons.

Bibliometric Analysis of the Interconnection Between Global Trade and Exchange Rate Policies

This study conducts a bibliometric analysis to explore the intricate relationships between global trade and exchange rate policies. Utilizing data extracted from major academic databases, the research synthesizes relevant literature from the past three decades to identify key thematic areas, influential authors, and the evolution of research trends over time. The analysis reveals how exchange rate volatility impacts global trade dynamics, highlights the theoretical underpinnings such as the Mundell-Fleming model and the Purchasing Power Parity, and identifies gaps in the current literature. The study's findings provide significant insights into the role of exchange rate management in economic stability and the interconnectedness of global markets. Practical implications are discussed with a focus on policy formulation and strategic financial management, while theoretical contributions offer enhancements to existing economic frameworks and propose new areas for empirical research. This research not only enriches the academic field of international economics but also serves as a foundational resource for policymakers and economic strategists navigating the complexities of global trade.

Regional price differences of medical services: evidence from China

BackgroundPrice levels of medical services may vary across regions with different income levels, which would raise concerns about the equal access to medical services. This study aimed to estimate the spatial price index of medical services to measure price levels across 31 provincial regions in China.MethodsPrice data were collected from medical service price schedule in each region. Two methods based on the Purchasing Power Parities were used to estimate the spatial price index and measure price differences across regions. The two-way fixed effects models were used to examine the association between medical service price levels and income levels, and further investigate the impacts of price differences on utilization of medical services and medical expenditure.ResultsThe consistent estimation results were given by two methods. Medical service price level in the highest-price region was found to be 74% higher than the lowest. There was a significant negative correlation between price levels and income levels, as well as price levels and the utilization of outpatient services. Moreover, we also found a 1% increase in medical service price level was significantly associated with a 0.34% and 0.24% increase in the medical service expense per outpatient visit and per inpatient respectively.ConclusionsRegions in China had significant gaps in medical service price levels. Policymakers should pay more attention to regional price differences and take great measures such as enhancing financial protection to ensure the equal access to medical services and better achieve the universal health coverage.

Path to Net Zero: Understanding the Building Energy Efficiency in Different Climates across Various Building Types

This study analyses the determinants of building energy efficiency in different climate zones and user types. The energy consumption of buildings in different climate zones can be affected by well-known determinants in different ways. So do the buildings with different user types. The primary aim of this study is to investigate how building energy efficiency is determined in five major climate zones and four main property types. This study uses the global building data (Points Achieved dataset) from the Leadership in Energy and Environmental Design (LEED) rating system 2010 to conduct three cross-sectional tests with logit regression models. The results confirm that the determinants of building energy efficiency are the location of the building, adoption of Building Energy Codes (BECs), climate zones, building types, regional economic development level (namely Gross National Income—GNI, Purchasing Power Parity—PPP) and population density. However, the impact of the determinants varies considerably in different climate zones or for different building types. This is the first empirical study exploring building energy efficiency and how it is determined in different climate conditions and user types. The findings are helpful for the stakeholders, such as policymakers, developers, and local authorities, when they hope to implement measures to improve building energy efficiency and the policy/regulation to boost it. Each building requires specific measures that suit its different climate zones or building types to enhance energy efficiency.