Income Dimensions Research Articles

Effort to gender equality in Indonesia, compared on ASEAN

This study aims to determine the extent of gender inequality in human resource development in Indonesia against Association of South East Asian Nations (ASEAN). This research using secondary data from various relevant sources. There are five dimensions that and are important for measuring gender equality, namely economic participation, economic opportunities, political empowerment, educational attainment, and health and welfare. The assessment was carried out on Indonesia and other countries in Southeast Asia. The results of the study show that Indonesia has the lowest gender development index (GDI) score compared to the average in ASEAN. Then, gender empowerment measure (GEM) Indonesia increased slowly. The most striking gap is in the income dimension, where men’s income far exceeds women’s income. This happens because women work less than men because women are more traditional in domestic roles in Indonesia, where women are prioritized in managing the household. However, for political indicators, there has been an increase in the number of women in parliament, but the target has not yet reached 30 percent of the total number of women in parliament. This situation shows that there is a reduction in the gender gap in the economy and politics. But the number is still too small, it is necessary to increase the equally distributed equivalent percentage (EDEP) for the Economic Participation Index, Parliamentary Representation Index and Income Index.

Income inequality and healthcare utilization of the older adults-based on a study in three provinces and six cities in China.

The objective of this study is to gain a more nuanced understanding of the specific impact of income inequality on the utilization of healthcare services for older adults. Additionally, the study aims to elucidate the moderating and mediating roles of public transfer income and psychological health in this context. A systematic examination of the impact of income inequality on healthcare utilization among older adults was conducted through field questionnaire surveys in six cities across three major geographical regions (West, Central, and East). The analysis employed baseline regression, as well as mediating and moderating effect tests. First, there is a negative relationship between income inequality and the use of therapeutic healthcare services (β1 = -0.484, P < 0.01) and preventive healthcare services (β2 = -0.576, P < 0.01) by older adults. This relationship is more pronounced in the low- and medium-income groups as well as in the western region. The mediating effect of psychological state is significant (β3 = -0.331, P < 0.05, β4 = -0.331, P < 0.05). Public transfer income plays a significant role in regulation. The moderating effect of public transfer income on therapeutic services was more significant in low-income groups (β5 = 0.821, P < 0.01). The moderating effect of public transfer income on preventive services was more significant in middle-income groups (β6 = 0.833, P < 0.01). The study clearly demonstrates a significant negative correlation between income inequality and the utilization of healthcare services by older adults. Furthermore, the study reveals that this relationship is particularly pronounced among older adults in low- and medium-income and Western regions. This detailed analysis of regional and income level heterogeneity is of particular value in this field of research. Secondly, this study attempts to integrate the two pivotal dimensions of public transfer income and psychological state for the first time, elucidating their moderating and mediating roles in this relationship. The findings indicate that public transfer income serves as a moderating factor, exerting a notable "reordering effect" on income inequality and resulting in a "deprivation effect." Such factors may impede the utilization of medical services, potentially influencing the psychological state of older adults.

Systemic advantage has a meaningful relationship with grade outcomes in students’ early STEM courses at six research universities

BackgroundLarge introductory lecture courses are frequently post-secondary students’ first formal interaction with science, technology, engineering, and mathematics (STEM) disciplines. Grade outcomes in these courses are often disparate across student populations, which, in turn, has implications for student retention. This study positions such disparities as a manifestation of systemic inequities along the dimensions of sex, race/ethnicity, income, and first-generation status and investigates the extent to which they are similar across peer institutions.ResultsWe examined grade outcomes in a selected set of early STEM courses across six large, public, research-intensive universities in the United States over ten years. In this sample of more than 200,000 STEM course enrollments, we find that course grade benefits increase significantly with the number of systemic advantages students possess at all six institutions. The observed trends in academic outcomes versus advantage are strikingly similar across universities despite the fact that we did not control for differences in grading practices, contexts, and instructor and student populations. The findings are concerning given that these courses are often students’ first post-secondary STEM experiences.ConclusionsSTEM course grades are typically lower than those in other disciplines; students taking them often pay grade penalties. The systemic advantages some student groups experience are correlated with significant reductions in these grade penalties at all six institutions. The consistency of these findings across institutions and courses supports the claim that inequities in STEM education are a systemic problem, driven by factors that go beyond specific courses or individual institutions. Our work provides a basis for the exploration of contexts where inequities are exacerbated or reduced and can be used to advocate for structural change within STEM education. To cultivate more equitable learning environments, we must reckon with how pervasive structural barriers in STEM courses negatively shape the experiences of marginalized students.

Understanding intersectional inequality in access to primary care providers using multilevel analysis of individual heterogeneity and discriminatory accuracy.

Despite the Canadian healthcare system's commitment to equity, evidence for disparate access to primary care (PC) providers exists across individual social identities/positions. Intersectionality allows us to reflect the realities of how social power shapes healthcare experiences at an individual's interdependent and intersecting social identities/positions. The objectives of this study were to determine: (1) the extent to which intersections can be used classify those who had/did not have a PC provider; (2) the degree to which each social identity/position contributes to the ability to classify individuals as having a PC provider; and (3) predicted probabilities of having a PC provider for each intersection. Using national cross-sectional data from 241,445 individuals in Canada aged ≥18, we constructed 320 intersections along the dimensions of gender, age, immigration status, race, and income to examine the outcome of whether one had a PC provider. Multilevel analysis of individual heterogeneity and discriminatory accuracy, a multi-level model using individual-level data, was employed to address intersectional objectives. An intra-class correlation coefficient (ICC) of 23% (95%CI: 21-26%) suggests that these intersections could, to a very good extent, explain individual variation in the outcome, with age playing the largest role. Not all between-intersection variance in this outcome could be explained by additive effects of dimensions (remaining ICC: 6%; 95%CI: 2-16%). The highest intersectional predicted probability existed for established immigrant, older South Asian women with high income. The lowest intersectional predicted probability existed for recently immigrated, young, Black men with low income. Despite a "universal" healthcare system, our analysis demonstrated a substantial amount of inequity in primary care across intersections of gender, age, immigration status, race, and income.

Convergence of Inequality Dimensions in China: Income, Consumption, and Wealth from 1988 to 2018

AbstractUsing household data from 1988 to 2018, we confirm that the increase in income inequality in China has come to a halt in recent years but show that inequality in wealth and consumption continues to increase. We report a clear convergence of inequality across the different dimensions of income, consumption, and wealth. Households at the top of one dimension are increasingly located at the top of the other two dimensions. The mechanisms for such convergence across dimensions are analyzed. The savings rate links income and consumption, while capital accumulation is the central mechanism linking income and wealth. In addition, the wealth and income structure contribute to intensifying the convergence trend. We argue that the relatively high level of inequality in China may continue since income, consumption and wealth are increasingly reinforcing each other.

Emprego fora da fazenda e pobreza multidimensional: evidências empíricas da bacia do rio Amarelo na China

ABSTRACT: As an essential way to enhance farmers’ self-development ability, off-farm employment plays an indispensable role in farmers’ multidimensional poverty reduction in many countries. Employing a survey of 1926 farmers in five provinces of the Yellow River Basin in China, this paper examined the multi-dimensional poverty reduction effect of off-farm employment and the heterogeneous influence of different dimensions of off-farm employment (modes, levels, distances and frequency). The results showed that (1) although absolute poverty in the income dimension was largely eliminated in the Yellow River Basin, the poverty in social resources, transportation facilities, employment security were the key bottlenecks restricting farmers’ self-development. (2) The province with the best multidimensional poverty reduction effect for non-farm employment was Shaanxi, with the largest contribution to employment security. (3) Improving off-farm employment level, distance and time can significantly alleviate the multi-dimensional poverty of farmers. Therefore, to lessen the multi-dimensional poverty of farmers in the Yellow River Basin, it is necessary to focus on the governance of multi-dimensional key poverty-stricken areas, such as the middle and upper courses of the Yellow River, adopting multidimensional poverty alleviation strategy of off-farm employment according to local conditions, working on the farmers’ deficiencies in social resources, mobility, employment security, and deepening the effect of off-farm employment on benefiting farmers and helping the poor.

Food prices and income poverty in Mexico: regional estimates

Objective: this study estimates a system of demand for food products in Mexico, incorporating territorial and income dimensions. The differentiated impact of shocks on prices on economic well-being and the poverty rate is evaluated, considering variations among households and across five major regions. Methodology: using Deaton’s (1988) unit values model and the 2018 National Income and Expenditure Survey (ENIGH), we calculate price and income elasticities, examining the impact of price variations on income and poverty. Results: our results reveal significant regional differences, emphasizing the need to consider socioeconomic and regional variations and to adopt a territorial approach in such analyses for effective policy formulation. Limitations: there are limitations to this study that may affect a complete understanding of poverty dynamics. We have focused our attention solely on food products, excluding a specific group of products, in this case, fisher y products. We also assume that households are only consumers of goods, thus omitting the productive and self-consumption dimension. Originality: lies in the direct link between poverty estimates and territorial disaggregation, integrating consumption patterns and specific elasticities for each region. Conclusions: our study highlights the importance of considering socioeconomic and regional differences when analyzing the demand for food products and its impact on poverty. Despite the limitations, our findings underscore the need for a territorial approach in this type of analysis to formulate tailored and effective poverty reduction policies in different regions of the country.

Case report Germany

Abstract Health data in Germany is collected through official statistics, registries, health insurance and population-based health information surveys. These data are used for monitoring progress of the Sustainable Development Goal on Good Health and Well-being (SDG3). According to the Sustainable Development Report 2022, Germany has achieved an overall high-performance score; however, there are still two health indicators which are stagnating or back-warding: “Gap in self-reported health status by income” and “Gap in life expectancy at birth among regions”. In order to illustrate regional inequalities in health, the Robert Koch Institute has developed the German Index of Socioeconomic Deprivation, which merges the dimensions of education, employment and income. It has been estimated that life expectancy between the least and most deprived district in Germany in 2017 differed by 6.0 years among men and by 3.2 years among women. In addition, data on all-cause premature mortality in Germany between 1992 and 2016 showed that while 13% of women and 27% of men from the lowest income group died before reaching the age of 65, this was the case for 8% of women and 14% of men from the highest income group. Self-rated health (SRH) according to income showed in Germany 2019 the largest gap (31% points) compared to other high-income OECD countries. Data from the German Health Update 2019/2020 also showed differences in SRH according to educational background. These differences were more pronounced among women (54% vs. 82%) than men (64% vs. 81%) and largely persisted across all age groups. Unfavorable SRH is an indicator known to be associated with increased morbidity and health-related limitations in daily life as well as a predictor of premature mortality. In Germany progress towards achieving SDG3 has been made; however, it is important to identify vulnerable groups and health inequalities in order to develop target-oriented interventions.

Deagrarisation as a Determinant of Living Standards in Rural Areas of European Union Countries

The paper deals with the issue of living standards being compared in spatial layouts across the EU countries in 2010–2019. The situation in rural areas is related to urban ones allowing for analysis of spatial inequality in terms of standard of living across the member states. The aim of the paper includes not only comparisons of standard of living, but also identification of reasons of differences between the countries and verification of a role of agriculture in shaping the rural standard of living. The EU economies are clustered based on Ward method and ranked according to aggregate measures of the relative living standards created with a usage of Hellwig method. In addition to a compound measure of the living standards, they have been assessed in two dimensions: income (ID), and housing and environment (HED). Furthermore, the study searches for an explanation of differences in the relative living standards and tests whether deagrarisation may be identified as their determinant. It uses ANOVA and estimates linear OLS regression models. It is concluded that the standard of living appears to be more favourable for rural inhabitants than for city dwellers, especially with respect to the features of surroundings, while it is decreased by the income characteristics. Furthermore, the results indicate that the relative living standards of rural inhabitants are lower in more agrarian economies. The observed deagrarisation appears as a factor positively influencing the standard of living in its income dimension.

Performance Analysis of Bank Syariah Indonesia and Bank Muamalat Indonesia during the COVID-19 Pandemic Reviewed from Maqashid Syariah: Maqashid Sharia Approach Index

The goal of this research is to measure the capability of Islamic banking in Indonesia during the Covid-19 pandemic using the Maqashid Syariah Index approach and using the measurement of three performance indicators, namely educating individuals, establishing justice, and public interest/maslahah). This research is a type of quantitative descriptive research. Bank Syariah Indonesia and Bank Muamalat Indonesia were used as objects of research. This research uses secondary data that comes from the 2020 and 2021 annual reports sourced from the official website. The maqashid sharia index approach used in data analysis is to calculate the variable performance ratio of the maqashid sharia index which comes from the dimensions of educational grants, research, training, publicity, fair returns, functional distribution, interest-free income, profit ratios, personal income, and investment. in the real sector. The results of this study indicate that overall Indonesian Sharia Banks have the highest score, with advantages compared to using Bank Muamalat in implementing the maqashid sharia aspect and the potential for green finance development

The geographical dimension of income and consumption inequality

This paper aims at examining interpersonal income and consumption inequality within the Attica Metropolitan Region, which includes Athens, the largest metropolis of Greece. It also aims to make comparisons between Attica and the rest of the country. The analysis is based on income and consumption microdata from Greek Household Budget Surveys (HBS) over the period 2008-2019, encapsulating the period from the commencement of the economic crisis until the year before the outset of the COVID-19 pandemic. Results indicate that income inequalities are systematically higher than consumption inequalities. From a spatial comparative perspective, the results show that the Attica Metropolitan Region exhibits a higher degree of income and consumption inequality relative to the rest of the country. Furthermore, the economic crisis increased income inequality in Athens and in the rest of the country, while consumption expenditure inequality increased in the Athens metropolitan area only. Finally, the distance between socio-economic groups, which stands as a measure of the degree of social polarization, increased during the economic crisis. However, this does not hold true for consumption inequality. Overall, the analysis demonstrates the sensitivity of inequality outcomes to the selection of the welfare indicator (income or consumption), as well as a number of noticeable differences in inequality outcomes between the Metropolitan region of Attica and the rest of the country. The paper unveils facets of inequality which necessitate the implementation of more people and place-targeted policies aimed at more inclusive and balanced welfare conditions in metropolitan regions and across the country.

SOCIAL EXCLUSION IN INDONESIA MILITARY HOSPITAL

Background: In the era of the COVID-19 pandemic, one of the social protections in Indonesia that still requires special attention is the protection of public health. Aims: This study aims to analyze the principles of social protection in the Social Security Agency for Health (BPJS Kesehatan) and the implementation of inclusive health services in Indonesia Military Hospital. Methods: This study used a qualitative approach by conducting in-depth interviews and made direct observations for one month by observing the processes and phenomena that occurred at the dr. Esnawan Antariksa Air Force Hospital as a case study. Results: The root cause of social exclusion in health services in military institutions was an aspect of the inherent hierarchy that caused exclusion in the income dimension triggered by socioeconomic level, status, and background of patients so that patients did not get the same rights in obtaining health services. Conclusion: Implementing social protection through BPJS Kesehatan in military-based hospitals caused patients with specific groups to experience layered exclusion. Patients who wanted to receive healthcare at military hospitals had differences in the stages of receiving them. However, the quality of medical services doctors and other health workers provided were not discriminatory. Keywords: BPJS kesehatan, health services, military hospital, social exclusion, social protection

SOCIAL EXCLUSION IN INDONESIA MILITARY HOSPITAL

Background: In the era of the COVID-19 pandemic, one of the social protections in Indonesia that still requires special attention is the protection of public health. Aims: This study aims to analyze the principles of social protection in the Social Security Agency for Health (BPJS Kesehatan) and the implementation of inclusive health services in Indonesia Military Hospital. Methods: This study used a qualitative approach by conducting in-depth interviews and made direct observations for one month by observing the processes and phenomena that occurred at the dr. Esnawan Antariksa Air Force Hospital as a case study. Results: The root cause of social exclusion in health services in military institutions was an aspect of the inherent hierarchy that caused exclusion in the income dimension triggered by socioeconomic level, status, and background of patients so that patients did not get the same rights in obtaining health services. Conclusion: Implementing social protection through BPJS Kesehatan in military-based hospitals caused patients with specific groups to experience layered exclusion. Patients who wanted to receive healthcare at military hospitals had differences in the stages of receiving them. However, the quality of medical services doctors and other health workers provided were not discriminatory. Keywords: BPJS kesehatan, health services, military hospital, social exclusion, social protection

Multidimensional Relative Poverty in China: Identification and Decomposition

This paper aims to study the change and decomposition of multidimensional relative poverty in China. The data we use are from the China Health and Nutrition Survey (CHNS). The data cover 12 provinces in China and span a long period, from reform to precise poverty alleviation. The results show that the multidimensional relative poverty index presents a change pattern of “gradual rise (1991–2004)-decline (2004–2011)-rise again (after 2011)”. The dimensions of education, income, and employment contribute more to multidimensional relative poverty, followed by health and living standards. Multidimensional relative poverty is more severe in rural areas, central and western regions, women, and the elderly. The “incidence of poverty effect” is the main factor in the changes in multidimensional relative poverty, and its contribution is higher than the “intensity of poverty effect”.

Exploratory study of income accessories traders in Tana Toraja Indonesia

Income is the main goal in trading or transacting. Assigning income at other times in the production or service cycle may reflect a better recognition of activities in a period. While specifically the merchant's income is the income received on the number of goods sold multiplied by the price. This study aims to determine the income of accessories traders in Tana Toraja. The data used in this research is primary data using observation data collection techniques, interviews and documentation. The data analysis technique used is discourse analysis to obtain the income dimensions of accessory traders. The results of this study indicate that the income earned by accessories traders in Tana Toraja is based on the level of conditions that can change the people's standard of living. There are various responses and expectations expressed by accessories traders or the public who have different meanings so that conclusions are drawn using the Creswell setting, and the meaning process picks a premise that becomes a hypothesis and arrives at a conclusion. It was concluded that income is a source that is uncertain or not based on the level of conditions that can change the standard of living of the community. And income is an uncertain source and a definite source of consequence continuous activity.

Research on the heterogeneous effects of residents' income on mental health.

The influence of residents' income on mental health is complex, and there are heterogeneous effects of residents' income on different types of mental health. Based on the annual panel data of 55 countries from 2007 to 2019, this paper divides residents' income into three dimensions: absolute income, relative income and income gap. Mental health is divided into three aspects: subjective well-being, prevalence of depression and prevalence of anxiety. Panel Tobit model is used to study the heterogeneous impact of residents' income on mental health. The results show that, on the one hand, different dimensions of residents' income have a heterogeneous impact on mental health, specifically, absolute income has a positive impact on mental health, while relative income and income gap have no significant impact on mental health. On the other hand, the impact of different dimensions of residents' income on different types of mental health is heterogeneous. Specifically, absolute income and income gap have heterogeneous effects on different types of mental health, while relative income has no significant impact on different types of mental health.

Integrated Farming Systems Practicing Farmers in Andhra Pradesh

The present investigation was carried out in Chittoor, East Godavari and Srikakulam districts of Andhra Pradesh. The main objective of the study was to write success stories of Integrated Farming Systems practicing farmers. The existing integrated farming systems in the areas were agriculture + horticulture + dairy, agriculture + cashew + dairy + sheep and agriculture + coconut + dairy + poultry. The diff erent dimensions of Sustainable Livelihood Security, expenditure and income of each enterprise combination are explained. The suggestions given by the farmers where necessary critical inputs should be provided to the farmers at subsidized rates, adequate training programmes, MGNREGA scheme can be linked with some of the agriculture activities so that the labour problem can be tackled to some extent, providing loans in time and provision of low interest rate loans which may help the IFS farmers to plan resource allocation well in advance.

SYSTEMATIC MAPPING OF QUALITY OF LIFE INDICATORS

The Amazon has been jointly glimpsed as a space where a wide range of differences emerge, both within and outside the region. Establishing ways to measure these diversities through the prism of the quality of life and well-being of their populations is an urgent initiative to be satisfied. Thus, this article presents the application of the PICOC methodology for mapping the indicators from the actions that represent the quality of life and welfare of the population of the Brazilian Amazon. A systematic mapping was carried out in five scientific databases in order to map works published in the period from 2017 to 2021. As results, 31 indices related to quality of life and well-being were found arranged in the dimensions of environment, health, education, governance, social programs, and income. The dimensions of environment, health, education, governance, and social programs and income are the main recurrences. The findings allowed as contributions: (i) quantify and qualify the works, listing their sources, year of publication, area of application and repository of origin; (ii) identify the most recurrent dimensions of the indicators found; (iii) relate the indexes to the quantities of dimensions that compose them.

Multidimensional poverty alleviation effect of different rural land consolidation models: A case study of Hubei and Guizhou, China

Eradicating all forms of poverty is the goal of sustainable development in the world, and the problem of returning to poverty has received widespread attention from international organizations and various countries around the world. Rural land consolidation (RLC) has achieved sustainable land use by combining with land system reform and policy innovation, thus RLC has become an important means to consolidate the achievements of poverty eradication in China. Under the sustainable livelihood approach, this study reveals the pathways to alleviate multidimensional relative poverty of different RLC models. Based on questionnaire data of rural households from poor areas of Guizhou and Hubei provinces in China, this study constructs a multidimensional poverty indices (MPI), including five dimensions of relative poverty measurement indicators (income, education, livelihood, housing, and employment) and the corresponding critical values, and measures the multidimensional relative poverty status of rural households as well as the change before and after RLC. In addition, the effects of multidimensional poverty reduction of different RLC models on poor households were investigated by the quasi-experimental PSM-DID method. The results show that different RLC models exhibit different poverty reduction effects. A comprehensive analysis of the multidimensional relative poverty indices demonstrates that public-private partnership (PPP) model of RLC can significantly alleviate poverty status of rural household, whereas the government-led model has no significant multidimensional poverty reduction effects. The investigation of each of five dimensions reveals that the PPP model has a significant poverty reduction effect on all the five dimensions (income, education, livelihood, housing, and employment), but the government-led model has a significant poverty reduction effect only on income dimension. Accordingly, this study proposes related policy recommendations, which provides Chinese experience for other developing countries to formulate RLC poverty alleviation strategies.

APPLICATION OF FACTOR ANALYSIS AND I-DISTANCE IN THE RANKING OF COUNTRIES ACCORDING TO THE LEVEL OF DEVELOPMENT

Contemporary theory defines development as a multi-dimensional and complex phenomenon which, therefore, cannot be measured by just one, but by a series of macroeconomic indicators. Different international organizations use different country classification systems. To assess the degree of development of a country, UNDP (United Nations Development Programme) uses the complex HDI index (Human Development Index). The HDI index includes the dimension of health (length of life), the dimension of education and the dimension of income (measured by gross national income per capita). Based on this index, the countries of the world are divided into four groups: countries with very high, countries with high, countries with medium and countries with low level of human development. The World Bank classifies countries based on GDP per capita. The International Monetary Fund classifies countries into “advanced economies” and “emerging and developing economies”. A unique classification of countries according to the degree of development is difficult, given that the very concept of the development of countries is complex and often includes several aspects, such as economic and social aspects. Although there is no single classification with precisely defined indicators that can be applied to each country and provide relevant data and a reliable picture of the level of development of the countries of the world, the need for such a classification is very pronounced. The aim of the paper is to determine the ranking of selected countries according to the level of development in 2021 based on a certain number of macroeconomic indicators. For the purposes of realizing the formulated goal, the procedure for ranking and classifying countries using the I-distance is presented. The I-distance method is a method of classification and ranking of multidimensional phenomena, based on the distance between the selected indicators. The selection of indicators was carried out using factor analysis (specifically, analysis of the main components) and the use of statistical software SPSS (eng. Statistical Package for Social Sciences - version PASW Statistics 23). Factor analysis is an objective method that uses its algorithms and techniques to reduce indicators and reduce them to an optimal number. After the formation of the main factors, the I distance method was used to define the ranking of countries according to the level of development. In this paper, the countries of the European Union were analyzed. In addition to the countries of the European Union, the analysis included the following countries: Japan, Russia, USA, Canada, Great Britain and Bosnia and Herzegovina. Based on the formed ranking of countries, the USA is in first place, followed by Germany, France, Great Britain, Italy, Canada, Russia and Japan. Not a single model provides a solution that has an essential, fundamental meaning, that is, based on its application, one cannot conclude what the real difference in the level of development is between the observed countries. Hence, the application of these methods is limited to compiling a ranking of the level of development of countries, which can serve us as “compass” in the analysis of their development.