Transfer Payments Research Articles

Assessing the Fiscal Burden of Overweight and Obesity in Japan through Application of a Public Economic Framework.

Introduction: Obesity continues to represent a significant public health concern, with a broad impact from both a health and economic perspective. Objective: This analysis assesses the fiscal consequences of overweight and obesity (OAO) in Japan by capturing obesity-attributable lost tax revenue and increased government transfers using a government perspective. Methods: The fiscal burden of OAO was estimated using an age-specific prevalence model, which tracked the Japanese population across different body mass index (BMI) categories. The model was populated with fiscal data for Japan, including employment activity and government spending, to calculate tax revenue and transfer costs. A targeted literature review was conducted to identify data estimating the impact of OAO on employment, income, sick leave, retirement, and mortality. These modifiers were applied to Japanese epidemiological and fiscal projections to calculate government tax revenue and spending. The incremental impact of reducing OAO in the general population was subsequently calculated. Results were estimated based on the 2023 Japanese working-age population aged 18 to 70 years. Results: The total fiscal burden of OAO in Japan, defined as BMI of at least 25, is estimated at US 6.3 billion (¥901 billion) and 5.4 billion (¥769 billion), while additional pension payment spending of $0.5 billion (¥77 billion) was estimated, due to higher levels of early retirement. Conclusions: While the health implications of OAO are well documented, this fiscal analysis demonstrates the significant economic burden of OAO both to the healthcare system and broader government accounts. Policies aimed at reducing population-level obesity have the potential to benefit government accounts through increasing employment and reducing public spending, which can offset the cost of implementing these policies.

Mental health effects of government transfer payments in urban China—An empirical study based on CFPS panel data

BackgroundGovernment transfer payments play a crucial role in redistributing wealth and alleviating relative poverty. However, the mental health effects of government transfers remain to be explored. This study aims to explore the internal mechanisms of the mental health effects of government transfer payments by examining individuals' subjective evaluations and attitudes. MethodsBased on panel data from the 2016 and 2018 China Family Panel Studies (CFPS) urban sample composition (N = 6645), the PSM-DID model was used to investigate the mental health effects of government transfer payments. Based on the calculation of the PSM-DID model, this study examined the effects of social security satisfaction and subjective social status on the mental health effects of government transfer payments through the mediation model and moderation model. ResultsThe study found that, overall, receiving government transfer payments can significantly reduce the level of individual depression. In examining the mechanism linking government transfer payments and mental health, it was discovered that social security satisfaction partially mediates this relationship. Additionally, subjective social status was identified as a negative moderating factor in this relationship, meaning that the alleviating effect of government transfer payments on depression diminishes as subjective social status increases. ConclusionsTherefore, in future policy optimization, firstly, the size and scope of urban government transfer payments should be expanded to directly improve the living standards of recipients. Secondly, social security programs should be strengthened. Thirdly, implementing the targeted interventions to address disparities in subjective social status should be considered.

Mobile Payment Transfer Using Edwards Curve Digital Signature Algorithm Based on the Proof of Work in Blockchain

Mobile Payment Transfer Using Edwards Curve Digital Signature Algorithm Based on the Proof of Work in Blockchain

The Advancements Blockchain has had on the Financial Services Industry

The financial services industry handles transactions amounting to trillions of dollars daily, necessitating a focus on cost-efficiency, transparency, and security. Prior to the integration of blockchain technology, intermediaries such as money transfer services, stock exchanges, and payment networks frequently encountered cybercrime. Blockchain technology, initially popularized by cryptocurrencies like Bitcoin, has since become a transformative force across various financial sectors. This technology enhances the industry by providing secure, transparent, and cost-effective transaction protocols through encryption and algorithms. This prose explores the significant advancements blockchain has brought to financial services, emphasizing its role in revolutionizing insurance, asset management, banking, and the stock market.

Village Organization and Sustainable Growth of Farmers’ Income: An Empirical Study Based on Dynamic Survey Data of the Labor Force in China

Common prosperity is the core goal of rural revitalization, and the sustainable growth of farmers’ income is an inevitable requirement. This study uses CLDS2014-2018 village- and family-level questionnaire data to reveal how the degree of village organization affects the sustainable growth of farmers’ income, thus providing a reference for local government decision-making to promote the increase in farmers’ income and narrow the income gap at the village level. The results show that the degree of village organization can significantly affect farmers’ income, and the analysis results of the degree of formal organization are consistent with this. Specifically, for every 1% increase in the degree of village organization, the per capita household income will increase by 0.324%, among which, the wage income will increase by 0.226%, the operational income will increase by 5%, the property income will increase by 0.008%, and the transfer income will increase by 0.042%. The estimation results obtained by using instrumental variables are consistent, and the results are robust. At the same time, improving the degree of village organization can also significantly increase the proportion of farmers’ non-agricultural income and narrow the income gap among farmers. On the impact of heterogeneity, it was found that the geographical distance between villages and county and township governments, as well as the political identity and education level of farmers, will affect the role of the degree of organization. The results of the mechanism analysis show that improving the degree of village organization is mainly achieved by promoting the circulation of agricultural land, socializing the service of agricultural machinery, and providing industrial and commercial capital to the countryside to increase farmers’ income. The research revealed that the modernization of rural governance should be accelerated and the degree of village organization should be improved, especially the degree of formal organization, so as to build benign trust and a cooperative relationship between village committees and villagers and implement policies and measures that improve the income of farmers according to local conditions. At the same time, this will strengthen the publicity and education of party members to improve the proportion of rural party members and the education level of farmers.

Income transfer and COVID-19 pandemic in Brazil: wrong and right at the same time

Abstract To alleviate the effects of socioeconomic inequalities and of the fall in economic activity on vulnerable populations during the COVID-19 pandemic, many countries have implemented or expanded income distribution programs. Brazil, amid the political and economic 2020 crisis, exacerbated by the pandemic, established Emergency Aid (EA). This longitudinal ecological study aimed to analyze whether the availability of EA contributed to the reduction of morbidity and mortality due to COVID-19 in the Brazilian 5,570 municipalities, from March 2020 to December 2021. The theoretical model considered as control covariates socioeconomic, sociodemographic and morbidity characteristics and access to health services, including COVID-19 testing availability and vaccination. Classical variable selection methods were applied considering the theoretical model, culminating in the adjustment of Bayesian hierarchical models with the inclusion of spatial and temporal effects. First dose COVID-19 vaccine coverage and EA had a protective effect against hospitalization (RR = 0.982 and RR = 0.986) and mortality (RR = 0.978 and RR = 0.976) due to COVID-19 in Brazil, when controlled by socioeconomic variables, access to health services and spatial-temporal effects. The results highlight the important role of income transfer in morbidity and mortality due to the disease, however, the way in which EA was implemented in Brazil presented a series of problems, the main ones being discontinued payment of aid, reduction in values throughout the duration of the benefit, in addition to the use of public resources to pay people who did not meet the eligibility criteria. Such problems might not have happened if the federal government had maintained the registration structure of Bolsa Familia Program (BFP), which did not happen. Furthermore, vaccination was started late for several reasons, that is, its role in reducing morbidity and mortality could have been even greater if started as soon as it become available. Key messages • Even with planning and execution problems, income transfer and specific vaccination were important in reducing COVID-19 morbidity and mortality in Brazil during the COVID-19 pandemic. • Income transfer during the COVID-19 pandemic in Brazil was not done in the best way possible, due to discontinued payment, reduction in values and payment to not eligible people.

How does temperature affect rural income: Channels and implication of adaptation

AbstractThis paper examines the impact of daily temperature variations on rural income per capita and evaluates the effectiveness of adaptation based on China's county‐level socioeconomic statistics and household survey data. We find that high temperatures have significant negative effects on rural income per capita. Relative to the physically comfortable reference temperature between 10 and 15°C, an additional day with a daily average temperature above 30°C reduces the rural income per capita by 0.12% in the year. Evidence from micro‐data indicates that agricultural income of rural households is sensitive to high temperatures relative to other components of household income, such as wage income and transfer income, which leads to a reallocation of rural laborers across sectors. In addition, we indeed find some evidence of adaptation, but we conclude that the current adaptation pattern of rural households probably magnifies the threat of future climate change to China's agricultural sector.

Perceptions of primary health care professionals from Brazil about the food and nutrition monitoring system.

The main factors related to the lack of coverage in Health Information Systems are concentrated in the scarce and incipient training of health professionals regarding the collection and typing of data, as well as the importance of using information. The aim of this study was to analyze the perceptions of primary health care professionals from Brazil about the functioning of the Food and Nutritional Monitoring System (SISVAN). Multicentric qualitative study, carried out with 38 health professionals in Basic Health Units (BHU) in five regions around the country. Data collection took place through interviews, which were submitted to content analysis, using the thematic modality. The treatment of the results and interpretation of the themes were carried out using the theoretical framework of the philosopher Michel Foucault. Four themes emerged: (Lack of) knowledge of SISVAN; SISVAN and the conditional income transfer program; Difficulties in the execution and use of SISVAN information; and Strengths. Some of the interviewees recognized the purpose of SISVAN's functioning. The collection of anthropometric data was related to the conditions of the Bolsa Família Program. Ignorance of the system and/or limited perception emerged as obstacles in the operability, use and quality of the data. The participants recognize that professional training is necessary to optimize the strengths of the system.

O TRABALHO DO GESTOR PÚBLICO NO PROGRAMA BOLSA FAMÍLIA

In the development of this research, it is possible to present the performance of the public manager in the Bolsa Família program. With a vast field of activity, the public manager collaborates based on his/her professionalism in the construction of a fair and egalitarian society, promoting values ​​that enable a quality of life, such as accessibility to social projects, educational programs and inclusion. The Bolsa Família program seeks to have an important social meaning, where the families assisted and accompanied by the public manager, where the performance of the same can enable accessibility, clarity and commitment to the users. The program contributes not only with income transfer in order to overcome poverty and extreme poverty, but reinforces basic social rights, allowing these families to go further, being able to have a better future through education and health. The presented research brings together a framework of reflections on the theme, analyzing theorists on the respective subject from a constructive and informative approach. The methodology of the referred work is the result of readings and reflections based on different theorists on the respective theme.

High Quantum Yields and Biomedical Fluorescent Imaging Applications of Photosensitized Trivalent Lanthanide Ion-Based Nanoparticles.

In recent years, significant advances in enhancing the quantum yield (QY) of trivalent lanthanide (Ln3+) ion-based nanoparticles have been achieved through photosensitization, using host matrices or capping organic ligands as photosensitizers to absorb incoming photons and transfer energy to the Ln3+ ions. The Ln3+ ion-based nanoparticles possess several excellent fluorescent properties, such as nearly constant transition energies, atomic-like sharp transitions, long emission lifetimes, large Stokes shifts, high photostability, and resistance to photobleaching; these properties make them more promising candidates as next-generation fluorescence probes in the visible region, compared with other traditional materials such as organic dyes and quantum dots. However, their QYs are generally low and thus need to be improved to facilitate and extend their applications. Considerable efforts have been made to improve the QYs of Ln3+ ion-based nanoparticles through photosensitization. These efforts include the doping of Ln3+ ions into host matrices or capping the nanoparticles with organic ligands. Among the Ln3+ ion-based nanoparticles investigated in previous studies, this review focuses on those containing Eu3+, Tb3+, and Dy3+ ions with red, green, and yellow emission colors, respectively. The emission intensities of Eu3+ and Tb3+ ions are stronger than those of other Ln3+ ions; therefore, the majority of the reported studies focused on Eu3+ and Tb3+ ion-based nanoparticles. This review discusses the principles of photosensitization, several examples of photosensitized Ln3+ ion-based nanoparticles, and in vitro and in vivo biomedical fluorescent imaging (FI) applications. This information provides valuable insight into the development of Ln3+ ion-based nanoparticles with high QYs through photosensitization, with future potential applications in biomedical FI.

Designing Net Asset-Based Income-Splitting Rules under Dual Income Tax

Abstract This article revisits the income-splitting regulations within the Nordic dual income tax framework. These regulations were introduced to counteract the inclination to transfer income between labor and capital income tax bases. They involve imputing a return on equity, considered as capital income, and taxing the residual portion at rates similar to those imposed on labor income. There are primarily two methods for computing imputed capital income. One method involves imputing a return based on the shares’ acquisition price (implemented in Sweden and Norway), while the other calculates a return using the net book assets of the company (utilized in Finland). This study examines the economic implications of the net asset-based splitting approach, an area not extensively explored in earlier literature. Our findings suggest that with appropriate selection of tax-parameter values, the net asset-based splitting system embodies the fundamental characteristics of a neutral corporate tax system akin to the ACE corporation tax. Consequently, our analysis indicates that the issues regarding incentive concerns in the Finnish taxation of closely held companies, highlighted in previous studies, stem more from erroneous parameter values rather than flawed underlying principles.

Identifying successful football teams in the European player transfer network

This paper considers the European transfer market for professional football players as a network to study the relation between a team’s position in this network and performance in its domestic league. Our analysis is centered on eight top European leagues. The market in each season is represented as a weighted directed network capturing the transfers of players to or from the teams in these leagues, and we also consider the cumulative network over the past 28 years. We find that the overall structure of this transfer market network has properties commonly observed in real-world networks, such as a skewed degree distribution, high clustering, and small-world characteristics. To assess football teams we first construct a measure of within-league performance that is comparable across leagues. Regression analysis is used to relate league performance with both the network position and level of engagement of the team in the transfer market, under two complimentary setups. Network position variables include, e.g., betweenness centrality, closeness centrality and node clustering coefficient, whereas market engagement variables capture a team’s activity in the transfer market, e.g., total number of player transfers and total paid for players. For the season snapshots, the number of transfers correspond to weighted in- and out-degree. Our analysis first corroborates several recent findings relating aspects of market engagement with teams’ league performance. A higher number of incoming transfers indicates worse performance and better resourced teams perform better. Then, and across specifications, we find that network position variables remain salient even when engagement variables are already considered. This substantiates the notion in the existing literature that a high degree corresponds to better team performance and suggests that network aspects of trading strategy may affect a team’s success in their respective domestic league (or vice versa). In this sense, the approach and findings presented in this paper may in the future guide team’s player acquisition policies.

Map to prosperity: Natural resource revenue sharing and infrastructure development in Indonesia

The well-being of society can be realized through meeting basic needs, one of which is providing public infrastructure. This study examines the role of Natural Resource Revenue Sharing Funds (DBH SDA) on government investment in infrastructure in 491 regencies/cities in Indonesia. The testing in this research uses panel data regression analysis. The results show that per capita DBH SDA in Indonesia during the study period of 2010–2012 has a significant and positive influence on government investment in infrastructure. The selection of this period is based on the consideration that a resources boom has occurred, where there is an increased global demand for natural resource commodities followed by an increase in commodity prices, thereby positively impacting revenue for countries or regions abundant in natural resources. Despite DBH SDA having a significant and positive influence, regional spending on infrastructure tends to be more influenced by central government transfers such as General Allocation Fund (DAU), Special Allocation Fund (DAK), and Local Own-source Revenue (PAD). It was found that government investment in infrastructure tends to be influenced by transfer funds, indicating that the role of the central government remains significant in determining the infrastructure expenditure of regencies/cities in Indonesia.

Cooperation mode selection strategies in platform ecosystems: analyzing brand value, cross-selling, and platform empowerment

Purpose This paper aims to investigate the vertical cooperative relationship between the core enterprise and the manufacturer within the platform ecosystem, specifically analyzing the optimal decision-making processes of both parties under the original equipment manufacturer (OEM) and original brand manufacturer (OBM) modes. Design/methodology/approach This paper uses game theory to analyze the problem, considering factors such as brand value difference, cross-selling and platform empowerment. It constructs the game models for both OEM and OBM modes and discusses the selection strategies for the cooperation mode. Findings The results indicate that the choice of cooperation mode by the manufacturer and the core enterprise depends on the relative size of their brand values. In cases of inconsistent choices, cooperation can be improved by designing a transfer payment contract. When the brand value is constant, the product price is comprehensively affected by cross-selling revenue, price elasticity coefficient, cost coefficient of sales effort and cost coefficient of platform empowerment. The enterprise reduces the price only when the potential revenue brought by increasing product sales exceeds the marginal profit brought by increasing product pricing; otherwise, it raises the sales price. Originality/value The platform ecosystem is emerging as a future direction for business mode development. However, there is a paucity of research on the cooperation modes between manufacturers and core enterprises within the platform ecosystem.

Revenue Streams and Capital Outlay: An Empirical Study of Municipal Corporations in India

This paper empirically tests the relationship between municipal revenue streams and capital outlay focused on building new infrastructure and amenities for sustainable urban development. The study follows a cross-sectional research design without a time dimension using secondary data from municipal corporations across 26 Indian states and Union Territories obtained from the Reserve Bank of India’s Report on Municipal Finances. An Ordinary Least Squares model was used to estimate the coefficients of own tax revenue, own non-tax revenue and revenue from government transfers. The study's main results show that while coefficients of own non-tax revenue sources, i.e., Rental Income, Fees & User Charges, and Interest earned are 8.52, 3.56, and 40.43 respectively with associated p-values of 0.000, suggesting greater influence in determining capital outlay, the coefficients of own tax revenue sources such as Property Tax, Water Tax, and Advertisement Tax are -0.21, -2.96 and 15.78 respectively with p-values exceeding 0.05 suggesting an insignificant relationship. Transfers from the central government are significant factors influencing capital outlay of the municipal corporations given by a coefficient of 2.45 with an associated p-value of 0.01, while state government transfers have a negative relationship given by a coefficient of -1.15 with a p-value of 0.023. The study also employs several diagnostic tests to ensure validity of the results and robustness of the model employed. The Adjusted R-squared value of 0.98 shows the model is a good fit and coefficients are relevant. Model diagnostics reveal that the results are efficient and model is a good fit to the data. The paper then concludes with discussion on the results obtained and policy suggestions along with indicating scope for further research in the field.

Household Well-Being, Environment and Health in the Peripheries of the Metropolitan Area of Oaxaca City

Objective: The economy of poor urban households is analyzed using a well-being function that also considers incomes, sociodemographic characteristics (CS), housing and the environment. Theoretical structure: The dependent variable is household well-being (BF) and the explanatory variables are all incomes obtained from the market economy, as well as government transfers (TG). The CS represent resources that facilitate obtaining income; housing provides income indicators; and the environment are the physical conditions that determine the state of health. Methodology: A probabilistic survey was applied to a sample of households in four poor peripheral neighborhoods. The equations were constructed using ordinary least squares regression and the beta coefficients measure the contribution of the variables from the four categories above to the BF. The effects of these variables on health expenditure (GS) are also measured. Discoveries: The main incomes that contribute to the BF were determined and these make a contribution equivalent to that of the set of variables of the CS, housing and family businesses. Likewise, the environment and diseases increase GS. Practical and social implications: Research shows that poor peripheral urban households participate in the market economy and that an increase in average age contracts their level of BF. Originality/value: The tested model turned out to be versatile and accurate in analyzing the economies of poor urban households and has greater explanatory power than the agricultural household models and the applied general equilibrium model.

Effectiveness of a peer-to-peer, self-management intervention for young people with depression and anxiety in Denmark: an observational study and a propensity score-matched comparison.

This study investigated the effectiveness of a 7-weeks peer-to-peer program for young people aged 15 to 25 years with depression or anxiety symptoms in Denmark. A total of 483 participants (72% women) participated in the program and the evaluation. The participants completed questionnaires at baseline, postintervention, and at 5-month follow-up to assess changes in depression symptoms (using Beck's Depression Inventory-II), anxiety symptoms (using Spielbergers State-Trait Anxiety Inventory for Adults) and self-efficacy in controlling or managing the illness (using the personal control subscale from the Illness Perception Questionnaire-Revised). Analyses were done using repeated measures mixed linear regression models. Moreover, a register-based matched comparison group was derived as a comparison to assess changes in being in education and employment at 8-month follow-up. Within the intervention group, both depression and anxiety scores declined across the 5-month follow-up compared to baseline (b = -9.6, 95% CI: -11.2, -8.1 for depression symptoms). The self-efficacy score increased from baseline to post-intervention (b = 1.4, 95% CI: 1.0, 1.8) and this level was maintained at follow-up. More than half of the participants were in education at baseline while 24% received social transfer payments. Compared with matched comparison group, a lower proportion of the intervention group remaining in education (71% vs. 80%). Among participants who were employed at baseline, a higher proportion of the intervention group were enrolled in education (27% vs. 19%) and were unemployed (14% vs. 4%) compared to the matched comparison group. This study supports the effectiveness of a peer-to-peer intervention for depression and anxiety symptoms, and self-efficacy in symptom control. However, mixed effects on education and employment were observed, indicating a negative impact on education among those initially enrolled and a higher proportion of employed participants starting education.

Parametric Analysis of Mobile Money Adoption and Women Financial Inclusion in Kogi State - Nigeria

An ever-increasing body of research and empirical evidence has demonstrated the positive impact of mobile money on individuals, households and businesses, especially in Sub-Saharan Africa, where there were almost 400 million registered accounts at the end of 2018. Mobile money reduces transaction costs for users and helps households to better manage their cash flows; it allows firms to invest and build capital over time, fostering the creation and expansion of business; and it facilitates faster and more efficient government transfers. These benefits have enabled many mobile money users to realise significant quality of life improvements. However, the impact of mobile money on women financial inclusion has not been fully analysed or investigated. To address this evidence gap, this study assesses the impact of mobile money across twenty-on (21) local governments areas of Kogi state - Nigeria. Something which, to our knowledge no previous study has done. This study explores the parametric effect of mobile money on women financial inclusion using cross-sectional data collected from 400 women across twenty-one LGAs of Kogi state in Nigeria. The probit regression results illustrate that mobile money is significant and positively related to women financial inclusion in Kogi state. In addition, economic activity positively plays a significant role in improving women financial inclusion, while gender discrimination and family financial resilience inversely reduces women financial inclusion in the state. Based on these empirical results, this study recommends the following. First, it is important that government at all level devise means to ensure and broaden usage of mobile money by of provision of communication networking, and internet services, especially in rural areas. This will go a long way in aiding and increasing individuals’ usage of mobile phone and money, hence promotion of financial inclusion among women. Secondly, there is need to enhance women economic engagement, most especially in the rural areas. This will boost their financial transactions, savings, and financial stability, thus stimulate their financial inclusion. Thirdly, while it may be unrealistic for gender equality but there is need to enforce gender discriminating law to give women sense of belonging and full participation to thrive their financial inclusion. Lastly, government at local level are also advised to increase and ensure financial stability and support families in building financial resilience. This can increase women financial inclusion.

The impact of China's residence permit system on the floating population's willingness to settle in cities

China's residence permit system is the focus of the nation's household registration system reform and a crucial aspect of promoting the new people-centered urbanization. Based on the China Migrants Dynamic Survey, this study uses the probit regression model to investigate the impact of the residence permit system on the floating population's willingness to settle in cities and examines the moderating effect of local government's financial resources. The results show that the residence permit system has a significant promoting effect on the migrants’ willingness to settle. And local government financial resources can strengthen the effect of the residence permit system on the willingness to settle. Additional exploration shows that the residence permit system can enhance the willingness of floating populations to settle in urban areas by increasing their income and consumption levels. Heterogeneity analysis shows that for non-agricultural household registration, high-education, high-income, and interprovincial migrating groups, the incentive effect of the residence permit system is more stronger. Based on the findings, while improving the residence permit system and expanding its coverage groups, transfer payments from the central government to local governments should be increased to effectively improve the value of residence permits, promote the floating population's settlement in cities, and advance China's new urbanization.

Fiscal decentralisation and renewable energy development: Inhibition or promotion?

In line with global green development and decarbonisation initiatives, China has prioritized renewable energy advancement in recent decades. Given the critical role of financial support, scholarly attention has increasingly focused on the impact of fiscal decentralisation (FD) within this sector. This study investigates FD's effect on renewable energy development, analyzing data from 30 Chinese provinces between 2008 and 2022. Findings reveal that FD tends to impede renewable energy progress. Specifically, a one-standard-deviation increase in FD leads to a decrease of 23.1775 % of a standard deviation in renewable energy development. However, this hindrance can be mitigated by foreign direct investment and central transfer payments, while research and development intensity exacerbates the negative impact. Notably, regions with limited natural resources, weaker environmental regulations, fiscal transparency, high marketisation, energy demand, and vertical fiscal imbalances experience a more pronounced decentralisation-renewable-energy relationship. Anti-corruption campaigns in China can alleviate but not reverse this effect. Furthermore, the diffusion of technology and cooperative efforts in nearby regions positively influence renewable energy development. Nonetheless, overall effects still turn out negative due to competition among local governments under the FD framework. Based on these findings, policy recommendations for accelerating renewable energy development are summarized.