Determinants Of Income Research Articles

0733 Elucidating Sleep-Related Health Disparities across The Socioeconomic Spectrum Leveraging a Large-Scale Sleep Registry

Abstract Introduction Sleep disparities have been implicated as a contributor to overall health disparities in socially disadvantaged groups. Despite epidemiological studies reporting sleep deprivation and poorer sleep quality among those with low socioeconomic status and group minorities, little is known about the extent to which sleep disorders such as sleep-disordered breathing (SDB), varies across the socioeconomic spectrum. Methods A retrospective cohort study was conducted utilizing data from the Cleveland Clinic Sleep Laboratory Registry. All adults who underwent diagnostic or split (baseline diagnostic) polysomnogram (PSG) or home sleep apnea test (HSAT) were included in the study. Area Deprivation Index (ADI), a biomarker of neighborhood socioeconomic disadvantage, was calculated by national rank, i.e. 25th, 50th and 75th percentiles; higher quartiles reflect greater deprivation. Generalized linear models adjusted for age, race, sex, body mass index(kg/m2) and primary payer were used to investigate association of ADI with SDB breathing measures (apnea hypopnea index, (AHI) and sleep-related hypoxemia (percentage of total sleep time <90%SaO2, [TST<90]). Results The analytic sample included 81,212 sleep studies; 60,013(74%) were PSG and 21,199(26%) HSAT with age: 52.0[41.0, 62.3], 49% females, 19% black race, with BMI=34.5±8.5 kg/m2, 44% with Medicaid and Medicare. Median ADI National Rank 59.0[39.0, 81.0] with higher 4th quartiles in PSG versus HSAT:29.1% vs 16.3%,p<0.001. In the PSG group, ADI was associated with hypoxia measures: TST<90(coefficient p<0.0001), model R2=0.171; mean SaO2(p<0.0001), R2=0.189; minimum SaO2(p<0.0001), R2=0.169; all measures were higher with higher ADI quartiles. In the HSAT group, ADI was associated with mean SaO2(p<0.0001), R2=0.188 and minimum SaO2(p<0.0001), R2=0.181 with all measures being higher with higher ADI quartiles. AHI was associated with ADI(p=0.0032), R2=0.239; but least squares mean AHI did not differ among ADI quartiles in PSG and HSAT groups. Interactions were observed between ADI and age, BMI and male sex (p<0.05), but not race. Conclusion Sleep-related hypoxia was greater among patients living in areas of higher deprivation when considering rankings of neighborhoods by socioeconomic disadvantage. Further understanding of the reason for this sleep disorder-related disparity is needed, i.e. further characterizing theoretical domains and social and geographic determinants of income, education, employment, and housing quality with the overarching goal to improve disparities in health. Support (If Any)

Employment Status and Labour Income of Turkish and Other Immigrants in the United States

Turkish immigrants are a growing part of the US labour market. This article explores the employment status and labour income determinants of the Turkish immigrants in the US between 2000 and 2019, using data from the American Community Survey and comparing them with other immigrants. The estimation findings show that gender, age, marital status, English level, citizenship status, education level, occupation, and years spent in the US are significant determinants of the employment status and labour income of immigrants in the US. Although Turkish immigrants earn more on average than other immigrants, once other factors (such as gender, age, education level, years spent in the US, citizenship status, proficiency in English, and occupation) are taken into account, the regression analysis demonstrates that some Turkish immigrants earn exceptionally high salaries in the US; in contrast, the remainder earn average or below-average amounts.

Effect of foreign direct investment on gross national income in Nigeria, 2006-2017

Effect of foreign direct investment on gross national income in Nigeria, 2006-2017 Kelechi Johnmary Ani Alex Ekwueme Federal University, Nigeria E-mail: kelechi.ani@funai.edu.ng Chigozie Onu Nnamdi Azikiwe University, Nigeria E-mail: asiano.jc@gmail.com Submission: 11/4/2020 Revision: 12/15/2020 Accept: 1/5/2021 ABSTRACT The study analyzed the effect of foreign direct investment on gross national income over the period of 2006- 2019. The main type of data used in this study is secondary; which were sourced from various publications of Central Bank of Nigeria, such as; Statistical Bulletin, Annual Reports and Statement of Accounts. The regression analysis of the ordinary least square (OLS) is the estimation technique that was employed in this study to determine the effect of the Direct Foreign Investment on gross national income in Nigeria. The cointegration test showed existence of a long run relationship and an indication that 1 cointegrating vectors exist at 5% level of significance among the variables which was corrected with error correction mode (ECM). The result showed that foreign direct investment had a positive effect on gross national income during the period 2006 – 2019. It also revealed that gross domestic product, exchange rate and unemployment rate has a positive effect on gross national income in Nigeria during the same period. The study recommends that government should try to develop trade zones, which are solely based on free economic movements and policies. The study recommends official re-consideration of different determinants of gross national income (GNI) attractions. Government incentives, infrastructure and policies should be put in place to make it easy for general foreign investors, to find Nigeria safe and reliable to invest. Finally, unique fiscal and monetary policies should be formed to strengthen the other macroeconomic variables which will help to overcome the situation of shocks in Nigeria while hosting Foreign Direct Investment inflow for future sustainable economic development.

English

This survey study examines the effectiveness of a Rural Enterprise Programme (REP) in improving the livelihood of rural women in Ghana, using ex-anti and ex-post income determinants of the programme. Some 217 beneficiary women drawn from farm-based, agro-processing, traditional craft, agro industrial and petty trading economic sub-sectors selected to participate in the survey using snow-ball sampling method. Using cross-sectional design, questionnaire with open and closed ended items was used to collect data. The IBM SPSS Statistics (SPSS version 20) was used to analyze the data and the results were qualitatively presented in tables and charts. The study found that the various inputs and strategies used in the Rural Enterprise Programme to empower women included education and training that equipped beneficiary with literacy skills to enhance their entrepreneurial roles and labour market. The result showed that the women empowerment strategies employed by the programme produced intermediate and long-term outcomes increasing the nominal income of the participants, indicating improvement in the well-being of the rural women. However, the study identified a gap in accessing affordable finance (credit) and high cost of inputs which presented challenge to the responsiveness of the REP to the beneficiary rural women economic well-being. The study corroborates the literature on rural women empowerment in West African that evidence a high degree of vulnerabilities of rural women’s access to economic resources which are predominantly owned by men. The study recommends future ethnographically informed case study to investigate culturally responsive strategies that can work best in economically empowering women in African traditional rural men-dominated cultural and economic context. Key words: Rural women, economic empowerment, livelihood, well-being, strategies, rural enterprise programme, Ghana West Africa.

Determinants of bank income smoothing using loan loss provisions in the United Kingdom

PurposeThis paper examines the determinants of bank income smoothing using loan loss provisions in the United Kingdom or Great Britain from 1999 to 2017.Design/methodology/approachThe study used ordinary least square (OLS) regression and applying the HAC robust standard error correction test.FindingsThe findings showed that UK banks use loan loss provision for income smoothing purposes. Income smoothing is greater in times of high economic policy uncertainty. The extent of bank income smoothing is reduced by foreign bank presence, UK GAAP adoption, IFRS9 adoption, and high levels of voice and accountability. Also, there is reduced income smoothing using loan loss provisions during a financial crisis and in periods of economic prosperity.Research limitations/implicationsThe implication is that economic conditions, institutional governance and accounting disclosure rules can influence the extent of bank income smoothing in the United Kingdom. The findings of the study contribute to several studies that explore the determinants of bank income smoothing.Originality/valueNo study has extensively examined the determinants of bank income smoothing in Great Britain or the United Kingdom. The present study fills this gap in the literature.

Determinants of Maize Production Income in Western Uganda

Many smallholder farmers produce maize for both consumption and income purposes. Despite the role played by maize, its income production is low, especially in developing countries. In order to formulate policies targeting maize productivity, it was necessary to have knowledge of the determinants of maize production income. As such, this study aimed at determining the level of income and its determinants from maize farmers. Consequently, data was collected from 220 maize farmers using structured questionnaires. The ordinary least squares model was used to determine the determinants. The results showed that the farmers earned a mean of 372,207 Ugandan shillings (105.18 USD) from maize production. Accordingly, farm size, access to credit and household size had a significant positive influence on income from maize production, while gender (female) of the household heads had a significant negative relationship with income from maize production. It is based on these results that this study recommended that the government should offer training programs targeting female-headed households. These trainings should incorporate farm production as well as marketing. Additionally, farmers should be encouraged to access various sources of agricultural credit including financial institutions that offer agricultural loans at low-interest rates.

Understanding the Determinant of Income from Catfish Production in Imo State, Nigeria

Fish production is significant to Nigeria’s aggregate economy. In Imo State in particular, it contributes to employment and income generation; food security; foreign exchange earnings and bridging protein demand-supply gap. Despite all these, empirical studies that logically, explain the determinant of income from catfish production are still relatively scanty. These creates a vacuum in research and knowledge thereby make it extremely difficult if not impossible for the government and other relevant stakeholders to know the method they can use in helping farmers realize huge income from catfish production as well as prospective farmers to venture into catfish farming. It was on this backdrop that the study was systematically undertaken in the area. Data were elicited from 90 catfish farmers’ selected using multistage and purposive sampling procedure across Imo State, Nigeria. Data collected were analyzed using descriptive statistical tool, gross income and multiple regression analysis. Result show that the mean age was 45.00 years. Greater proportions (71.11%) were male. Majority (78.88%) were married with an average household size of 7 persons. The mean educational level and farming experience were 12 and 15.00 years respectively. Reasonable proportions (68.89%) have no access to credit. Average annual farm income was ₦650,000.00 ($1,570.64). Majority (45.56%) used concrete pond while approximately 47.78% of the farmers sourced their fingerling from commercials fish hatchery. Net farm income and return per capita invested were ₦3,050,714.69 ($7,371.65) and N 15.41k respectively. The profitability index was N 15.30, which implies that for every naira earned as revenue from the catfish farming, about 15.30kobo returned to farmer as net farm income. Estimated regression results shows that pond size (X 1 ); cost of fish feed (X 2 ); cost of labour (X 3 ); stocking rate (X 6 ); Educational Level (X 9 ); Farm Income (X 10 ) and Farming Experience (X 11 ) were the major determinant of income in catfish production. Findings provided evidence that catfish production is efficient and lucrative in the area. However, approximately 97.78% of the farmers complained of inadequate production capital. It was therefore recommended that farmers particularly on their own should judiciously pool productive resources together through strengthened and stable cooperative society group as this would enhance their profitability in catfish production in the area. Moreover, effective agricultural policies and programmes should focus on granting fish farmers improved access to farm credit as these would enable them increase their production frontier and realize huge profit overtime in the area. Keywords: Catfish; Income, Profitability, Management System, Imo State, Nigeria DOI: 10.7176/JESD/13-1-03 Publication date: January 31 st 2022

UNDERSTANDING THE DETERMINANT OF INCOME FROM CATFISH PRODUCTION IN IMO STATE, NIGERIA

Fish production is significant to Nigeria’s aggregate economy. In Imo State in particular, it contributes to employment, income generation and bridging protein demand-supply gap. Despite all these, empirical studies that logically explain the determinant of income from catfish production are still relatively scanty. These creates a vacuum in research and knowledge there by making it extremely difficult if not impossible for the government and other relevant stakeholders to know the method they can use in helping farmers realize huge income from catfish production as well as prospective farmers to venture into catfish farming. It was against this backdrop that the study was systematically undertaken. Data were elicited from 90 catfish farmers’ selected using multistage and purposive sampling procedure across Imo State, Nigeria. Data collected were analyzed using descriptive statistical tool, gross income and multiple regression analysis. Result show that the mean age was 45.00 years. Greater proportions (71.11%) were male. Majority (78.88%) were married with an average household size of 7 persons. The mean educational level and farming experience were 12 and 15.00 years respectively. Reasonable proportions (68.89%) have no access to credit. Average annual farm income was ?650,000.00 ($1,570.64). Majority (45.56%) used concrete pond while approximately 47.78% of the farmers sourced their fingerling from commercials fish hatchery. Net farm income and return per capita invested were ?3,050,714.69 ($7,371.65) and N15.41k respectively. The profitability index was N15.30, which implies that for every naira earned as revenue from the catfish farming, about 15.30kobo returned to farmer as net farm income. Estimated regression results shows that pond size (X1); cost of fish feed (X2); cost of labour (X3); stocking rate (X6); Educational Level (X9); Farm Income (X10) and Catfish Experience (X11) were the major determinant of income in catfish production. Findings provided evidence that catfish production is efficient and lucrative in the area. However, approximately 97.78% and 94.44% of the farmers complained of inadequate production capital and high cost of feed. It was therefore recommended that farmers particularly on their own should judiciously pool productive resources together through strengthened cooperative society group as this would enhance bulk purchase/buying of catfish production input in the area. Moreover, effective agricultural policies and programmes should focus on granting catfish farmers improved access to farm credit as these would enable them increase their production frontier and realize huge profit overtime in the area.

Determinant of net interest income of commercial banks in Indonesia

This study aims to identify the factors that contribute to the formation of Net interest income (NII) for commercial banks in Indonesia in the short and long-term using the Vector Error Correction Model (VECM). The results showed that in the short term all variables in each period tend to adjust to achieve long-term balance. In the short term, the variables that affect NII are credit and NPL of large and retail trade, construction credit, transportation credit and NPL warehousing and communication, as well as lending rate facility. While in the variable length figures that affect NII are credit variables and NPL large and retail trade, Credit and NPL Transportation, warehousing and communication, other credit and Third-Party Funds (Deposit) collected. The analysis of Impulse Response Function can be proven that NII most quickly achieves stability when dealing with the shocks of large trade and retail NPL. Meanwhile, in the Forecasting Variance Decomposition analysis, it can be concluded that the variable that gives the greatest contribution to NII is the amount of construction credit.

Determinants of unreported income in Latin American companies: a business perspective

Determinants of unreported income in Latin American companies: a business perspective

Socioeconomic determinants of income among rural women in Enugu state, Nigeria: implication for achieving first sustainable development goal

Socioeconomic determinants of income among rural women in Enugu state, Nigeria: implication for achieving first sustainable development goal

Determinants of Informal Labor Income: Does Demographic Matters?

In informal sector, labor is unnecessary to have a higher degree and special skill. So that, working in informal sector is one of the solutions for labor with low skill to gain an income and move out from poverty. This research aims to analyse determinant factors of labor income in informal sector, focused on demographic and social economics variables. By using SAKERNAS data from Indonesian Statistics, this research is adopted Mincer Wage Equation and conducted by Ordinary Least Square Method. The result shows that Mincer Equation still a robust model for modelling wage factor. Labor with more educational backgrounds come up with higher income since the education will refine the workability and capability to improve productivity. In the other hand, labor in informal sector who live in the village earn more income than those who work in the city area. This conclude that by right policy, informal sector can develop higher income as high as formal sector.

Socio-economic determinants of net-income in fish farming in Kainji Lake Basin, Nigeria onomic determinants of net-income in fish farming in Kainji Lake Basin, Nigeria

The study analyzed the socio-economic determinants of net-income in aquaculture of Kainji, Lake Basin, Nigeria. Specifically, the study examined the; fish farming systems; cost and returns, socio-economic determinants of net-farm income and challenges of fish farming in the area. The study adopted a two-stage sampling procedure to select 120 table-size fish farmers. Data were collected with questionnaires that were administered through face-to-face interview and analyzed using descriptive statistics, budgetary technique and multiple regression analysis. The results showed that 35.00 % of the fish farmers were within the age bracket of 31-40 years, 53.34 % were men, 91.67 % were married, 55.83 % had between 1-5 years of experience in fish farming and 75.83 % had tertiary educational qualification. Majority (92 %) of the fish farmers practiced the monoculture of catfish using earthen ponds system. The estimated total expenses were <strike>N</strike> 14,953,330.74 while the total revenue generated from 9 fish ponds, each stocked with an average of 3883.986 fingerlings in 2 cycles per year was <strike>N</strike> 20,188,142.00. The estimated net-farm income after tax was <strike>N</strike> 5,234,811.26 while the net profit margin and return on investment was 25.93 % and 35% respectively. Age, experience and household size were positive and significant (p<0.05) socio-economic factors that affected net-farm income while the challenges of fish farming were high cost of feed ( ̅x=3.24), poor pricing ( ̅x =3.11), poor access to capital ( ̅x=3.09) and persistent poaching/theft ( ̅x= 2.67). Based on the findings of the study, it is recommended that there should be an intensive research by the fish nutrition division of National Institute for Freshwater Fisheries Research (NIFFR) on the possible alternatives of crude protein source that could be a perfect substitute to Clupeids in fish feeds.
 Keywords: aquaculture, catfish, socio-economic, profitability, farmers

Exporting inequality: US investors and the Americanization of executive pay in the United Kingdom

Existing studies of the political determinants of top incomes and inequality tend to focus on developments within individual countries, neglecting the role of interdependencies that transcend national borders. This article argues that the sharp rises in top incomes observed in recent years are in part a product of specific features originating in the US political economy, which were subsequently exported to other economies through the global expansion of US-based financial investors. To test the argument, we collect fine-grained micro-level data on executive pay and firm ownership structures for a comprehensive sample of publicly listed firms in the United Kingdom (UK). Our analyses uncover robust evidence that the Americanization of UK firm ownership leads to the financialization of remuneration practices and sizeable pay increases for high-level managers at those firms. Scrutinizing the causal mechanisms underlying this effect, we find them to be more consistent with changes in bargaining power inside firms rather than coercion from outside or exogenous shifts in labor markets for executives. The findings show the disruptive potential of Wall Street investments abroad to empower local managerial elites to capture greater rents and, more generally, demonstrate the need to take the transnational seriously in order to understand patterns of inequality in the global political economy.

The Implications of Economic Change in Indonesia for Social Class Formation

Abstract This article investigates the relationship between economic growth and changing class structures in Indonesia over the last century, with particular emphasis on the post-independence decades. Investigations carried out in the colonial era found that access to land and to government employment were crucial determinants of both income and social status. After 1950, these factors continued to be important, but in addition some studies also examined the growth of the private sector outside agriculture and its implications for changing social stratification among indigenous Indonesians. In recent times, contributions to the literature on the middle class have been made by international agencies (such as the Asian Development Bank and the World Bank). These studies have defined the middle class in terms of household income or expenditures and have argued that the middle class in Indonesia is growing and is now larger than the number of people living in poverty. The implications of this for future government policies are discussed.

Estimation of Factors Affecting Income Traditional Fishermen

The coastal area of East Sebatik District, Nunukan Regency has considerable marine and fishery potential in the fisheries sub-sector, especially marine fish catching, the development of capture fisheries production. This article tries to describe some of the determinants of fishermen's income in Tanjung Harapan Village, East Sebatik District. The type of research used in this research is quantitative research, with an explanatory approach. This primary data was obtained from a questionnaire distributed to respondents, namely fishermen in Tanjung Harapan Village, then the data was processed using the Excel program and then processed using the Eviews 9 application with the multiple linear regression analysis method. The results showed that the cost of fuel oil, the number of workers, technology, and time at sea had a positive and significant effect on the income of fishermen in Tanjung Harapan Village. Meanwhile, work experience has a positive but not significant effect on fishermen's income. The results of the research are expected to be useful in formulating policies and strategies to increase the income of fishermen in Tanjung Harapan Village, East Sebatik District.Keywords: Fisherman Income, Fishery Technology, East Sebatik

Determinants of households’ income in Mazar –e- Sharif

Studying household income is one of the most critical issues in poverty theory and income distribution. This research aims to identify and examine determinants of household income in Mazar-e-Sharif. The study is a descriptive-analytical methodology approach, and in terms of practical purpose, this study is applied research conducted a cross-sectionally with a microeconomic approach at the local level. The sample size included 200 households from the six sites of Mazar-e-Sharif in the year 2020, which were sampled through Be selected by chance. The data collection tool is an individual questionnaire conducted and collected by the researcher, which was analyzed by SPSS software using a regression model and developed econometrics model. The research findings show that the proposed regression model can predict 42.2% of the dependent variable. Furthermore, the analysis of regression model shows that the education of the head of household, members with contractual employment, number of employed members in households, income source of retirement, rent, Hawala, farm have the significant positive relationship with the dependent variable only income source of handicraft has the hostile relationship with the dependent variable. However, the rest of the independent variable does not have a significant relationship with the dependent variable.

Productivity, biodiversity trade-offs, and farm income in an agroforestry versus an arable system

The uptake of diversified farming systems is constrained by a scarcity of evidence regarding financial costs, benefits, and risks. Here, we evaluate the productivity and projected farm income of an agroforestry system, where apples are integrated with arable crops, by combining primary data with ecosystem service and cost-benefit models. Our ecosystem service assessments included: 1) weed and pest associations with arable yields; 2) apple seed set as a proxy for pollination, and; 3) carbon sequestration. Arable yields were up to 11% lower in agroforestry than arable systems, and were significantly negatively associated with weed cover in both systems. Apple yields in agroforestry were similar to typical yields from comparable orchards. Apple seed set was significantly higher in agroforestry than conventional orchards for one of two varieties. Predicted gross mixed income was higher in agroforestry than arable systems in 15 of 18 productivity scenarios over 20 years, which was supported by a case-study. Apple yield and price were the major determinants of gross mixed income. Payments for carbon sequestration were predicted to contribute 47% to 88% of agroforestry establishment costs. This study demonstrates how a diversified farming system can improve farm income, but grant support would reduce the initial negative cash-flow.

The geography of migrant workers' income in China: Evidence from a migrants dynamic survey in 2017

AbstractStudying the spatial pattern and determinants of migrant workers’ income is vital for grasping their mobility tendencies to better administer to this urban floating population and propel urbanization. Using 2017 data from the China Migrants Dynamic Survey, this paper adopts trend surface, standard deviation ellipse, and spatial correlation methods to describe the spatial pattern of migrant workers' income in China. It then employs econometric models to examine the spatial effects and determinants of migrant workers' income. The spatial pattern demonstrates an obvious cluster phenomenon for the migrant workers' income in prefectural cities. Based on this social context, our empirical results further show that migrant workers' income has a spatial dependence effect. Migrant workers' income is positively affected by the migrant workers' individual characteristics (demographics, outflow characteristics, social integration) and negatively affected by the external factors (public social services, economic development environment) of the cities into which they flow. There is salient spatial variation in the determinants of migrant workers' income in prefectural cities, which are divided into multifactorial influence zones, work experience and house price influence zones, and education and family influence zones by cluster analysis, and into eastern and midwestern influence zones according to China's three economic areas.

Income and Employment Potential for Youth and Women in Tanzania’s Micro, Small and Medium Tourism Enterprises

Abstract This paper looks into the income and employment potential for youth and women in tourism micro, small and medium enterprises (MSME s). The survey data collected from seven regions of Tanzania during September–October 2018 is used. Analyses are focused on two main issues: estimation of determinants of income in tourism MSME s and implications for youth and women employment; and examination of perceived youth employment potential in the tourism industry of Tanzania. Quantile regression approach is applied in estimation of determinants of income; and the ratios of perceived employment potential and constraints to the youth employment are analysed. The findings demonstrate earning as the leading employment incentive and is determined by education of the owners of MSME s, inter alia. Larger proportion of enterprises owned by youth than those owned by elderly people are informal, which has a negative bearing on incomes of youth. Women and youth owned enterprises are constrained in terms of credit access. Policy implications include the need to address the social problem of gender inequality, enhancing requisite skills and knowledge for tourism sector professions, and formalisation and scaling up of credit access for the youth and women.