Income Effects Research Articles

Energy Efficient Building-Planning and Designing a Green and Cost-Effective House and Working Space for Farmer

Abstract: Agriculture in India is livelihood for a majority of the population and hence it stands great importance in Indian culture. Increasing population, increasing average income and globalization effects in India also increased the demand for quantity, quality and nutritious food, and variety of food. Therefore, pressure on decreasing available cultivable land to produce more quantity, variety and quality of food will keep on increasing. Farmers are still not able to earn respect a blearing. Therefore it is necessary to reduce this problem of them. The basic aim of this project is to plan, design a green and cost effective house and working space for farmer his family, shelter for his animals, proper grains to rage facilities and ware house for his tools and machineries. This project also provides an insight to overcome the water scarcity

The productivity and income effects of adopting improved rice varieties by smallholder farmers in Indonesia

PurposeThis study identified the determinants of improved rice variety adoption and measured their impact on farm productivity and the income of smallholder farmers in Indonesia.Design/methodology/approachWe used a multistage sampling procedure and data from household surveys in four districts in the Banten region of Indonesia. An endogenous switching regression (ESR) model was used to estimate the impact of adoption, and the propensity score matching (PSM) non-parametric method tested the strength of the ESR findings.FindingsThe farm productivity of adoption increased by 11.45% and the income of smallholder farmers increased by 12.10% when compared to that of traditional methods.Research limitations/implicationsThe positive and significant effects of improved rice variety adoption indicated that research programs that develop improved rice varieties can optimize the productivity and income of smallholder farmers.Originality/valueAdopting improved rice varieties increases the productivity and income of smallholder farmers, and the level of education, rice farming experience, access to extension workers, off-farm work, and mobile phone ownership have positive and significant effects on the adoption of improved rice varieties.

The Effect of Local Original Income (PAD), Transfer Funds (Balanced Funds), and Regional Economic Growth on the Regional Poverty Rate of West Nusa Tenggara Province (NTB)

One of the primary goals of any municipality is human development when it comes to regional development. Reducing poverty and improving community welfare and human resources are the primary goals. The poverty rate in NTB Province has dropped dramatically, and the income and economic growth in the area have increased, thanks to the many regional development initiatives that the province has launched. Finding out how local original income, balancing funds, and economic development influence the poverty rate in NTB province is the main objective of this research. Using a battery of tests and regression analysis, we compile a dataset consisting of panel data from ten NTB Province regencies and cities covering the years 2012–2022. The results obtained from this study show that local original funding (PAD) has a significant impact on reducing poverty rates and balancing funds that significantly reduce poverty rates in the NTB province. However, economic growth impacts increasing the poverty rate in NTB province, although not significantly. This may happen because Indonesia's economic growth fluctuates, thus affecting the increase in poverty. Fluctuations occur due to factors such as national economic conditions, supply-demand, government policies, etc. This can affect the economic growth of NTB, and it also impacts the increasing poverty rate in NTB. In addition, the increasing population is one of the factors that contribute to economic fluctuations and the increase of poor people in NTB.

Impact of contract farming on green technological efficiency of farmers: a comparative study of two contract organizational models

IntroductionEngaging in contract farming represents a crucial avenue for developing countries to integrate small farmers into modern agricultural practices. Existing research believes that contract farming offers a promising opportunity for fostering sustainable agricultural development. However, insufficient attention has been directed toward investigating the varying impacts of different organizational models within contract farming on farmers' transition to green production practices.MethodsThis study investigates the impact of contract farming on green technological efficiency of farmers using survey data from 719 wheat growers in Shandong Province, China. The propensity score matching method and multiple mediation effects models are employed for empirical analysis.ResultsThe organizational model plays a pivotal role in determining whether participation in contract farming can improve the green technological efficiency of farmers. Participation in an integrated model demonstrates a significant effect on improving green technological efficiency, whereas participation in a quasi-integrated model does not show a significant improvement. Integrated contract farming can improve green technological efficiency through expanding the degree of land consolidation and enhancing the level of productive service, whereas quasi-integrated contract farming improves green technological efficiency only by enhancing production intensification. As an economic incentive measure, the effect of contract purchase price on strengthening the enhancement of green technological efficiency in the quasi-integrated model is moderate only when the contract purchase price exceeds the local average selling price of wheat by more than 19.3%. Conversely, the moderate effect of farmers' dividend income in the integrated model remains consistent, with higher dividend incomes correlating with a stronger moderating effect.DiscussionThe impact of contract farming on green technology efficiency correlates significantly with the organizational model. Compared with the quasi-integrated contract farming model, the integrated model distinctly excels in advancing farmers' green technology efficiency, evidenced by its ability to consolidate fragmented land, provide productive services, and offer economic incentives. Therefore, to unlock the latent potential of contract farming in driving agricultural green transformation, a shift toward organizational models with higher levels of integration is essential.

#960 Trends in eGFR and ultra-processed food intake in relationship to income among United States adults

Abstract Background and Aims Ultra-processed foods (UPF) are formulations of ingredients that are mostly of exclusive industrial use and may contain additives like artificial colors, flavors, or stabilizers. The sale and consumption of these foods has been increasing despite their associations with increased risk for several non-communicable diseases including chronic kidney disease. Ultra-processed foods are widely accessible, more shelf-stable and convenient while tending to be more affordable and lower in nutritional quality. The aim of this study was to evaluate trends in kidney function and UPF intake and temporal effect of income among United States (US) adults. Method We used dietary intake data collected with 24-hour dietary recalls from 35160 US adults across 8 cycles of the National Health and Nutrition Examination Survey (NHANES) (from 2003-2004 to 2017-2018 cycles) to categorize intake using the Nova processed food classification system. Poisson regression models were used to assess the 15-year trends in populations at risk for kidney function decline (measured by estimated glomerular filtration rate [eGFR]) and higher percentage of calories from UPF (PC-UPF) consumed along with the temporal effect of income in select subpopulations and adjusted for age and gender and non-linear effects of income and age). Results Over the past 15 years eGFR, PC-UPF, and self-reported income continue to increase among US adults. However, the associations between eGFR, PC-UPF and income are quite complex, vary by subpopulation and non-linearly depend on age. Specifically, among Black adults adjusted for age (age2) and gender, eGFR was the lowest (85 mL/min/1.73 m2, 95% CI: 84.9, 85.0 mL/min/1.73 m2) among those with the lowest ($2,500) and highest ($125,000) income (p = 0.0000000579 for a quadratic term of income), respectively. Hispanic and Mexican Americans also have similar pattern eGFR with the lowest and highest income though the eGFR is consistently higher than White and Black Americans. Across cycles, White Americans with the lowest income ($2,500) have the highest PC-UPF (range: 57-62%, p <2e-16; mean: 59.4%, 95% CI: 59.3, 59.6%) while Black Americans with the lowest ($2,500) and highest income ($125,000) have the highest PC-UPF (range: 53-58%, p <2e-16; mean: 54.8%, 95% CI: 54.3, 55.4%). Income levels does not predict PC-UPF among Mexican Americans. Overall, the PC-UPF is steadily increasing in all population subgroups. Conclusion Among Non-White US adults, higher eGFR was associated with higher income until reaching a group-specific threshold when the relationship reversed. We observed a similar threshold pattern in the association between PC-UPF and income among Black and Hispanic Americans. These complex non-linear relationships between eGFR, PC-UPF and income are driven in part by age-related association and warrant further exploration.

A comprehensive model for predicting populist attitudes

Populist attitudes are multi-causal, but their determinants are often studied separately, in small groups, or in different samples. This study presents a comprehensive model for the prediction of populist attitudes using a single sample. We use an ideological approach and measure of populist attitudes as anti-elitism, popular sovereignty, and homogeneity, while the differences between the elite and the people are Manichean. Analyzing a sample based on a representative quota for gender, age, education and region of Slovakia (N = 254), it was found that relative deprivation, belief in simple solutions, external political efficacy, trust towards experts, and conspiracy mentality were significant predictors of populist attitudes after controlling for other variables. The effect of education and subjective income faded out after adding variables into the model. The model explained 54% of the variance in populist attitudes. The results are discussed in detail with respect to its limitations and country specifics.

The quality of government conditions political disagreement over redistributive policies

ABSTRACT This study argues that the quality of government structures the divide of public opinion on redistribution within countries. Countries with higher government quality have both the capacity and impartiality required to implement effective and fair redistribution. In effect, material self-interest and fairness-based evaluations should become better predictors of policy preferences in countries with higher government quality. An empirical analysis of survey data from 40 institutionally diverse countries supports this theory. Interaction regression models show that the government quality moderates the effects of income and unfairness perceptions on redistribution preferences. Both preference drivers are more strongly associated with redistribution support in countries with higher government quality. Preferences thereby become more heterogeneous in higher-quality settings. The results offer micro-level support for the theory that government quality structures politics and policies via the public opinion channel. To the extent that public opinion influences political behavior and policymaking, higher government quality should induce a stronger economic left-right divide over these political phenomena.

Psychological Well-Being of Indigenous People and Settlers: An Interaction Effect of Race, Profession, Education, and Income

Psychological Well-Being of Indigenous People and Settlers: An Interaction Effect of Race, Profession, Education, and Income

The synergy effect of agricultural dual-scale management on farmers' income: evidence from rural China

PurposeThis study aims to estimate the synergy effect of agricultural dual-scale management (ADM) on farmers' total household income, its heterogeneous effects and its mechanisms.Design/methodology/approachThis study constructs a theoretical analysis framework based on the division of labor and synergy theory, empirically assesses the impact of ADM on farmers' income, and further discusses the heterogeneity and mechanisms using the propensity score matching (PSM) and quantile treatment effect (QTE) models. Data is collected from 1,076 households across 4 cities in Liaoning Province of China in 2021.FindingsADM can improve the total household income of farmers, and the impact force is greater than that of the single-scale management mode. ADM is more conducive to improving the income of farmers with low income and low labor endowment. Moreover, ADM can improve agriculture production efficiency, increase net grain production income. Nevertheless, it has no significant effect on farmers' off-farm employment income.Originality/valuePrevious studies have mainly focused on the income effect of land scale management or service scale management. To the best of our knowledge, this study is the first to identify the synergy effect of ADM on farmers' income in China. It provides new insights into the process of agricultural production and management mode transitions in rural China.

Health-related quality of life and impact of socioeconomic status among primary and secondary school students after the third COVID-19 wave in Berlin, Germany.

In the earlier phases of the COVID-19 pandemic, studies in Germany and elsewhere found an overall reduction in health-related quality of life (HRQoL) among students. However, there is little evidence on later pandemic stages as well as socioeconomic influencing factors. We aimed to (1) describe HRQoL in a Berlin student cohort at two time points in mid-2021, and to (2) analyze the effects of household income and education. We assessed HRQoL of students from 24 randomly selected primary and secondary schools in Berlin, Germany, with the KIDSCREEN-10 index in June and September 2021. To adjust for non-response bias, inverse probability weighting was applied. The potential effects of both household income and education (lower vs. higher) were estimated in generalized linear mixed models, based on prior assumptions presented in directed acyclic graphs. Our cohort comprised 660 students aged 7-19 years. In June 2021, 11.3% [95% CI = 9.0% - 14.0%] reported low HRQoL, whereas in September 2021, this increased to 13.7% [95% CI = 11.1% - 16.5%], with adolescent girls more frequently reporting low HRQoL at both time points (20% [95% CI = 17.1% - 23.3%] and 29% [95% CI = 25.5% - 32.5%]) compared to boys and younger children. While there was no statistically significant total effect of lower household income on HRQoL, a negative effect of lower household education was statistically significant (β = -2.15, SE 0.95, 95% CI = -4.01 to -0.29, p = 0.024). In summary, students' HRQoL in mid-2021 was better than that documented in other studies conducted at pandemic onset using KIDSCREEN-10. Female adolescents reported low HRQoL more often, and lower household education significantly reduced children's HRQoL. Support strategies for psychosocial wellbeing should consider socioeconomically disadvantaged children as important target groups.

Navigating the winds of change: Assessing the impact of wind energy innovations and fossil energy efficiency on carbon emissions in China

The purpose of this study is to look at how China's increased use of wind energy and fossil fuel efficiency is affecting the environment. In this direction, novel quantile-based techniques and machine learning algorithm-based approaches are used to examine the effects of real national income, natural resource rent, and trade globalization on carbon emissions, in addition to the technological advancements in wind energy and fossil energy efficiency during the period 2000–2020. According to the averaged findings, carbon emissions are increased by natural resource rent and economic growth. On the other hand, environmental damage is being lessened by trade globalization, wind energy advances, and fossil energy efficiency. Furthermore, quantile-based results show that in the highest quantiles of environmental degradation, wind energy technology has a far stronger mitigating effect. In a similar vein, improving the efficiency of fossil fuels lowers overall carbon emissions, and this decrease becomes more apparent as carbon emissions rise.

How the wellbeing function varies with age: the importance of income, health and social relations over the lifecycle

AbstractPrevious literature has identified income, health status and social relationships as the most important predictors of subjective wellbeing (SWB). In addition, the literature has identified a non‐linear relationship between age and SWB, with a dip in SWB in midlife. Explanations of the non‐linear age–SWB relationship include the notion of unmet aspirations and the idea that people's emotional response to the drivers of SWB changes with age. Against this background, we use representative longitudinal data for Germany (1992–2019) with about 570,000 observations for more than 88,000 individuals aged 16–105 years to investigate if and how the association between SWB and its main predictors changes over the lifecycle. Using fixed effects estimation to control for cohort effects and unobserved personal characteristics, we find that the marginal effects of income and social relationships vary with age in a wave‐like fashion, while the positive marginal effect of good health status increases monotonically and progressively with age. Our results are similar for alternative measures of SWB (life satisfaction and living in misery), and for men and women separately. The age‐related changes in the importance of income and social relationships for SWB found in this paper help to explain the relationship between age and SWB found in previous literature.

Measuring physicians' response to incentives: Labour supply, multitasking and earnings

AbstractPhysicians are typically paid for services completed. Yet, they provide different types of services with different prices, introducing a multitasking element to their labour‐supply decisions. We show that optimal behaviour generates a maximum earnings function in which earnings depend on prices and total hours worked. Estimation by limited‐information methods identifies a lower bound to the own‐price substitution effect of a price change. Full‐information methods identify the full response to incentives, including income effects. We illustrate these methods on a sample of specialist physicians working in Québec, Canada. Our results suggest that the own‐price substitution effects of a price change are both economically and statistically significant. Income effects are present but overridden when prices increase for individual services. In contrast, in the presence of broad‐based fee increases, the income effect dominates the substitution effect, which leads physicians to reduce their supply of services.

MVMRmode: Introducing an R package for plurality valid estimators for multivariable Mendelian randomisation.

Mendelian randomisation (MR) is the use of genetic variants as instrumental variables. Mode-based estimators (MBE) are one of the most popular types of estimators used in univariable-MR studies and is often used as a sensitivity analysis for pleiotropy. However, because there are no plurality valid regression estimators, modal estimators for multivariable-MR have been under-explored. We use the residual framework for multivariable-MR to introduce two multivariable modal estimators: multivariable-MBE, which uses IVW to create residuals fed into a traditional plurality valid estimator, and an estimator which instead has the residuals fed into the contamination mixture method (CM), multivariable-CM. We then use Monte-Carlo simulations to explore the performance of these estimators when compared to existing ones and re-analyse the data used by Grant and Burgess (2021) looking at the causal effect of intelligence, education, and household income on Alzheimer's disease as an applied example. In our simulation, we found that multivariable-MBE was generally too variable to be much use. Multivariable-CM produced more precise estimates on the other hand. Multivariable-CM performed better than MR-Egger in almost all settings, and Weighted Median under balanced pleiotropy. However, it underperformed Weighted Median when there was a moderate amount of directional pleiotropy. Our re-analysis supported the conclusion of Grant and Burgess (2021), that intelligence had a protective effect on Alzheimer's disease, while education, and household income do not have a causal effect. Here we introduced two, non-regression-based, plurality valid estimators for multivariable MR. Of these, "multivariable-CM" which uses IVW to create residuals fed into a contamination-mixture model, performed the best. This estimator uses a plurality of variants valid assumption, and appears to provide precise and unbiased estimates in the presence of balanced pleiotropy and small amounts of directional pleiotropy.

The effect of bubbles on production: The state of the literature

AbstractIn this paper, a comprehensive review is carried out on the strand of the literature related to the effects of bubbles on production, which includes the scarce empirical literature. The content is structured according to the bubble phase, since a major part of the literature considers that during the boom, there can be a crowding‐in effect that can even offset the crowding‐out effect derived from the bursting of the bubble. This possibility is due to the influence of two opposing mechanisms: a substitution effect derived from the possible diversion of resources previously allocated to productive investments, and an income effect derived from the fact that investors have more resources obtained from the sale of the bubble assets and from the role of these assets as collateral in loan operations. Studies also show the negative effect derived from the involvement of banks in bubbles. In this paper, both the results of the research and the main methodological framework are reviewed, thereby identifying as a gap in the literature to be considered for future research: the scarcity of empirical research, of studies that include demand factors, of papers that address bubbles in nonfinancial and nonhousing markets, and in undeveloped and emerging countries.

Factors Influencing Tangerang City MSMEs' Financial Literacy

Financial literacy is the knowledge about financial product and services. It is also defined as financial management skills that one should have in order to reach financial welfare, especially for Micro, Small, and Medium Enterprises. The purpose of this study is to analyze the effects of income, educational level, gender, age, and length of business on the financial literacy level of MSMEs in Tangerang City. This study used quantitative methods and used Proportionate Stratified Random Sampling as the sampling technique with 100 MSMEs as a sample. It was conducted in 11 subdistricts in Tangerang City – Tangerang, Batuceper, Larangan, Karawaci, Cibodas, Cipondoh, Pinang, Ciledug, Karang Tengah, Neglasari, and Periuk. The study used Multiple Linear Regression as an analysis technique. Based on the analysis carried out using the SPSS application, the results showed that: (i) the financial literacy index of MSMEs in Tangerang City was an average of 76.15%; (ii) income has a positive and significant influence on financial literacy level on MSMEs in Tangerang City; (iii) education level has a positive and significant influence on the financial literacy level; (iv) gender has no significant influence on the financial literacy level; (v) age has a positive and significant influence on the financial literacy level; and (vi) the length of business has a positive and significant influence on financial literacy level. The implication of this study are: MSMEs can increase their financial literacy level by making monthly financial records using digital technology and increase their ability to adapt with financial technology. Cooperatives and Small and Medium Enterprise Office can conduct more financial literacy workshop and increase MSMEs’ access to technology and financial product and services in order to increase financial literacy level of MSMEs in Tangerang city so that MSMEs can reach financial welfare. Keywords: MSMEs, financial literacy, income, educational level, gender, age, and the length of business

Quantifying reciprocal relationships between poverty and health: combining a causal loop diagram with longitudinal structural equation modelling.

This study takes on the challenge of quantifying a complex causal loop diagram describing how poverty and health affect each other, and does so using longitudinal data from The Netherlands. Furthermore, this paper elaborates on its methodological approach in order to facilitate replication and methodological advancement. After adapting a causal loop diagram that was built by stakeholders, a longitudinal structural equation modelling approach was used. A cross-lagged panel model with nine endogenous variables, of which two latent variables, and three time-invariant exogenous variables was constructed. With this model, directional effects are estimated in a Granger-causal manner, using data from 2015 to 2019. Both the direct effects (with a one-year lag) and total effects over multiple (up to eight) years were calculated. Five sensitivity analyses were conducted. Two of these focus on lower-income and lower-wealth individuals. The other three each added one exogenous variable: work status, level of education, and home ownership. The effects of income and financial wealth on health are present, but are relatively weak for the overall population. Sensitivity analyses show that these effects are stronger for those with lower incomes or wealth. Physical capability does seem to have strong positive effects on both income and financial wealth. There are a number of other results as well, as the estimated models are extensive. Many of the estimated effects only become substantial after several years. Income and financial wealth appear to have limited effects on the health of the overall population of The Netherlands. However, there are indications that these effects may be stronger for individuals who are closer to the poverty threshold. Since the estimated effects of physical capability on income and financial wealth are more substantial, a broad recommendation would be that including physical capability in efforts that are aimed at improving income and financial wealth could be useful and effective. The methodological approach described in this paper could also be applied to other research settings or topics.

The effect of education expenditure on air pollution: Evidence from China

Education expenditure is essential in mitigating air pollution, but the relationship between education expenditure and air pollution lacks in-depth discussion. Utilizing data at the county level in China during 2007–2021, this study estimates the effect of education expenditure from local governments on air pollution. Our findings demonstrate that education expenditure significantly and negatively affects air pollution, which remains robust after addressing endogeneity. The mechanism analysis presents that education expenditure reduces air pollution through the composition, technique, and income effects. The heterogeneity analysis indicates that the impact of education expenditure exhibits marked regional heterogeneity. Specifically, the role of education expenditure is significant in strong regulation, key, eastern, and central regions. By considering interaction terms, we identify the moderating effects of human capital, economic development, infrastructure construction, and public service for education expenditure. The cost-benefit analysis emphasizes that education expenditure improves social welfare. Our findings can inspire local governments to place more emphasis on air quality and public education expenditure.

Income, aging, and the gendered patterns of wellness: Physical health and subjective well-being in China

This article investigates the impact of demographic and socioeconomic inequalities on wellness, composed of both physical health and subjective well-being. We examine how gender inequality moderates the joint effects of aging and income on wellness in China. Utilizing generalized linear mixed model (GLMM), we analyze data from the Chinese General Social Survey (CGSS) spanning from 2003 to 2021. Our results reveal that income inequality disproportionately affects physical health among older, underweight, lower-class females; males are more susceptible to negative impacts on subjective well-being, particularly among lower-class, middle-aged males. These gendered patterns are situated in the contemporary Chinese society and are explained in relation to intra-household distributional inequality and the gender role expectations in the Confucian culture. We also discussed the policy implications of how to reduce the gaps in wellness across social classes, age cohorts, and genders.

Socioeconomic factors including patient income, education level and health insurance influence post-operative secondary surgery and hospitalization rates following hip arthroscopy

To evaluate a large cross-sectional sample of patients utilizing administrative database records, and analyze the effects of income, insurance type, and education level on outcomes after hip arthroscopy, including 2-year revision surgery, conversion to total hip arthroplasty (THA) and 90-day hospitalizations. Current Procedural Terminology codes were used to query the PearlDiverTM Mariner database from October 2015 to January 2020 for patients undergoing hip arthroscopy with minimum 2-year follow-up. Patients were categorized by mean family income in their zip code of residence (MFIR), health insurance type, and educational attainment in their zip code of residence (EAR). 2-year revision arthroscopy, conversion to THA and 90-day hospital readmissions or emergency department (ED) visits were analyzed along socioeconomic strata. Multivariate analysis of 33,326 patients revealed that patients with MFIR between $30,000-$70,000 had lower odds of 2-year revision arthroscopy [OR = 0.63, p < 0.001], THA conversion [OR= 0.76, p= 0.050], and 90-day readmission [OR= 0.53, p= 0.007] compared to MFIR >$100,000. Compared to patients with commercial insurance, patients with Medicare had lower odds of revision arthroscopy [OR= 0.60, p= 0.035] and THA conversion [OR= 0.46, p< 0.001], but greater odds of 90-day readmission [OR= 1.74, p= 0.007]. Patients with Medicaid had higher odds of 90-day ED visits [OR= 1.84, p< 0.001]. Patients with low EAR had higher odds of revision arthroscopy [OR= 1.42, p= 0.005] and THA conversion [OR= 1.58, p= 0.002] compared to those with high EAR. Following hip arthroscopy, patients residing in areas with lower mean family income were less likely to undergo reoperations and readmissions. Medicare patients showed lower reoperation but higher readmission odds, while Medicaid patients showed higher odds of ED visits. Additionally, higher educational attainment in the zip code of residence is protective against future reoperation. Level III. Retrospective Case Series.