Income Measures Research Articles

An Economic Analysis of Soybean Production in Rajnandgaon District of Chhattisgarh, India

The Present study is to examine An Economic Analysis of soybean Production in Rajnandgaon district of Chhattisgarh, India. The study was undertaken by taking 80 sample farmers during the year 2020-21. To collect information from the sample area, an interview schedule and survey approach were utilized. The objective was achieved by using cost concepts and income measures. The cost of cultivation of soybean was observed highest in case of large farm and lowest in case of marginal farms. The overall cost of production was Rs. 1785.71 per quintal. Gross return from soybean was found to be Rs. 68670.84 per hectare. The net return of overall farmers was observed Rs. 32135.15. The Input-output ratio was highest in case of large farmer 1:2.16 and lowest in case of marginal farmer 1:1.98. None of the soybean farmer was applying potash fertilizer to soybean crops, but it plays an important role in nodule formation. Therefore it is required that farmers should apply potash fertilizer to the soybean crop.

Income, deprivation, and social exclusion: toward a comprehensive poverty measurement in Hong Kong

ABSTRACT Multidimensional measurements have become the preferred means to determine levels of poverty in research and policy practice because unidimensional measurements cannot capture the full picture of poverty. This study combines income, deprivation, and social exclusion measures and proposes a comprehensive poverty measurement within the multidimensional framework. Using data from a representative survey in Hong Kong, we applied the comprehensive poverty measurement to an affluent Asian society. We used the Poisson-based framework to analyse the poverty threshold and the Alkire and Foster multidimensional poverty index (MPI). According to the comprehensive poverty measurement, Hong Kong’s poverty rate was 6.1%, and MPI was 0.047. Social exclusion contributed the most to poverty, and individuals who differed from the typical profile had distinct disadvantages in all three dimensions of comprehensive poverty. Multivariate regression analysis further revealed that individuals who were immigrants, aged 65 or over, had low levels of education and poor health, and received social assistance were more likely to be comprehensively poor. Through revealing the nuanced needs of the poor population, the comprehensive measurement sheds new light on multidimensional poverty and provides novel policy implications for poverty alleviation.

A spatio-temporality-enabled parallel multi-agent-based real-time dynamic dispatch for hydro-PV-PHS integrated power system

Integrated power system has emerged as a powerful alternative to penetrate renewables, due to its ability to reconcile energy discrepancy. However, due to limited mainstreams and complex mountainous meteorology, the dispatch of hydro-photovoltaic-pumped hydro storage (Hydro-PV-PHS) integrated power system (IPS) which are predominantly composed of cascaded daily-regulation and uncontrollable runoff hydropower stations and PVs still miss the expected clean energy utilization rates. To conquer the issue, a novel spatio-temporality-enabled parallel multi-agent-based dynamic dispatch method is proposed. At the outset, a temporal dispatch model fed by dynamic measurements of available PV generation and inflow is presented. To master the uncertainties, such model must be solved in real-time upon the incoming measurements. Whereupon the presented model is recast as Markov decision process for learning dispatch policies, parameterized by neural network agents. To manage the enormous spatial-temporal operating space of the hydro-PV-PHS IPS and to prevent conflict policies, a long short-term memory auto-encoder (LSTM-AE) combined unsupervised learning scheme is used to alleviate divergence and decrease stochasticity of renewables to pre-uncouple policies, which are then distributed to multiple parallel agents. Finally, distributed proximal policy optimization is conducted to produce dispatch policies in an offline parallel manner, with each agent responsible for dispatching the hydro-PV-PHS IPS within the respective operating subspace. The numerical studies in a real-world case demonstrate that the proposed scheme enables real-time and near-optimal dynamic dispatch for the concern IPS, and outperforms other rivals in terms of adaptability, robustness, and efficiency.

COUNTY-LEVEL ANALYSIS OF EYE EXAM ACCESS AND UTILIZATION IN THE UNITED STATES

ABSTRACT Purpose The eye exam is a critical tool for the prevention, screening, and diagnosis of ocular and systemic conditions. In this study, we characterize county-level variation in eye exam access and utilization for Medicare patients in the United States. Methods This nationwide study uses the Medicare Physician & Other Practitioners – by Provider and Service dataset. We included all ophthalmologists and optometrists who performed eye exams on Medicare beneficiaries within a United States county in 2019. For every county where exams were performed, we calculated the number of practicing vision testing providers, percentage of providers classified as ophthalmologists, and the number of exams per 100 Medicare beneficiaries. Multiple linear regression was used to characterize associations between these variables and county characteristics, including measures of poverty, education, and income. Results In 2019, 28937,540 eye exams were performed by 46,000 providers in 2,291 U.S. counties. In the median county, 34.9 eye exams were provided per 100 Medicare beneficiaries. The average county had 20.1 exam providers, 16.5% of whom were ophthalmologists. There were a median 6.6 eye exam providers for every 10,000 Medicare beneficiaries in the average county. The average provider performed 517.8 exams. Regression showed counties with lower median household incomes, higher poverty rates, or fewer high-school graduates had fewer eye exam providers per 10,000 Medicare beneficiaries and fewer eye exams performed per 100 Medicare beneficiaries. Conclusions We find significant county-level variation in eye exam utilization and provider availability. This reflects broader, well-recognized trends in socioeconomic health disparities in the U.S.

Economic growth and poverty reduction: Evidence from Sub‐Saharan African (SSA) countries

AbstractSub‐Saharan African (SSA) countries have registered outstanding economic growth in recent decades. However, poverty is still pervasive, deep, and severe in the region. This paper aims to analyze the impact of the recent economic growth on poverty reduction in 27 SSA countries using a new dynamic panel data set. Adopting System GMM estimation, this study found that economic growth has been associated with poverty reduction. Also, the previous level of poverty had an intense impact on the prevalent poverty status in the region. Moreover, although nonmonetary measures and income measures of poverty produce similar results (showing a reduction in poverty), nonincome poverty, especially destitution data, suggest that SSA countries are poorer even than previously understood. We suggest that SSA countries should promote a policy of income‐enhancing (i.e., economic growth) to ramp up poverty reduction.

Private renters in shared housing: investigating housing conditions and mental well-being in Australia during COVID-19

Lockdowns were the major policy response to COVID-19 containment in many countries, and subsequently many people spent abnormal amounts of time at home. Research has found that housing conditions affected more peoples’ mental health during the COVID-19 crisis than prior to it, and vulnerable groups were especially affected. One group that may be particularly vulnerable is private renters in shared housing. Using a socio-economic lens, our research examined to what extent mental well-being outcomes were associated with housing conditions in shared housing under COVID-19 restrictions in Australia. Data about private renters were obtained from the Australian Rental Housing Conditions Dataset (n = 1908), collected in mid-2020 during the easing of the first lockdown restrictions. Respondents living in shared arrangements reported higher levels of worry and anxiety (8.5–13.2%) and loneliness and isolation (3.7–18.3%) compared to other household types. Binary logistic regressions showed that COVID-19-related mental and financial well-being variables were the main contributors in COVID-19-related worry/anxiety and loneliness/isolation models. Accumulated housing problems were the only housing condition measure that was significant in the worry/anxiety model. Participants who had more than two people living in a household felt 1.4 times lonelier/isolated compared to those who lived with four or more people. Males and participants who reported good mental health were less likely to feel COVID-19-related worry/anxiety and loneliness/isolation. Our analysis demonstrates the importance of measures for mental health and income during a pandemic and concludes with recommendations of support for shared housing renters during and beyond crisis events.

A test of the predictive validity of relative versus absolute income for self-reported health and well-being in the United States.

A classic debate concerns whether absolute or relative income is more salient. Absolute values resources as constant across time and place while relative contextualizes one's hierarchical location in the distribution of a time and place. This study investigates specifically whether absolute income or relative income matters more for health and well-being. We exploit within-person, within-age, and within-time variation with higher-quality income measures and multiple health and well-being outcomes in the United States. Using the Panel Study of Income Dynamics and the Cross-National Equivalent File, we estimate three-way fixed effects models of self-rated health, poor health, psychological distress, and life satisfaction. For all four outcomes, relative income has much larger standardized coefficients than absolute income. Robustly, the confidence intervals for relative income do not overlap with zero. By contrast, absolute income mostly has confidence intervals that overlap with zero, and its coefficient is occasionally signed in the wrong direction. A variety of robustness checks support these results. Relative income has far greater predictive validity than absolute income for self-reported health and well-being. Compared to earlier studies, this study provides a more rigorous comparison and test of the predictive validity of absolute and relative income that is uniquely conducted with data on the United States. This informs debates on income measurement, the sources of health and well-being, and inequalities generally. Plausibly, these results can guide any analysis that includes income in models.

G.C. Harcourt: An economist with accounting sense

AbstractGeoffrey Colin Harcourt’s work on the interface between accountancy and economics is a part of his legacy that is less well-known than his work on the capital controversies. This paper argues that the analytical findings of this research effort are an important and integral part of Harcourt’s overall research programme. In this paper, we review Harcourt’s work on the relation between economics and accounting from the time of his undergraduate thesis to 1969, the date of the publication with Robert Parker of the edited volume Readings in the Concept and Measurement of Income. This paper intends to offer insights on (A) the evolution of Harcourt’s thought during this period and a survey of the significant contributions he made to research in this field during this time and (B) the legacy of his approach and findings. We argue that his ideas in this domain offer important insights in doing post-Keynesian economics in the Harcourt mould. We find that Harcourt’s insights on the issues relating to the accounting rate of profit as used by economists remain relevant to today, as well as his implicit suggestions on how to deal with the complexities of the problems that ensue for the theorist, practical economist, businessman, and policy advisor. Harcourt’s work suggests that we should not aim to replace one monolithic way of seeing things with another, indicating that the useful definition of key concepts and tools is determined by the problem and hence by the policy question one wants to answer.

The Vertical and Horizontal Equity of Property Assessment Caps

Do assessment caps make the property tax more regressive? Are they fair to all taxpayers, or do some groups get more benefit than others. This paper examines these issues using a sample from the Jacksonville, FL Metropolitan Statistical Area. Regression models are run using housing values averaged at the census block level and matched to census block socioeconomic and demographic data obtained from the US Census. Results show that when permanent income is used as the measure of ability to pay, the SOH benefit makes the property tax fairer, but when current income is used as the income measure, it makes the tax less fair. In addition, the assessment caps cause some serious horizontal inequities. For, example, homes in 100% Black census blocks receive, on average, 6.6 percentage points less value from the SOH benefit relative to their home’s value than the homes in 100% White census blocks.

A Monte Carlo Study of Some Empirical Methods to Find the Optimal Poverty Line in Multidimensional Poverty Measurement

A key problem in multidimensional poverty measurement is how to identify the optimal poverty line, or threshold value, in order to split the ‘poor’ and ‘not poor’ groups. Intersection approaches aim to set a cut-point k for deprivation distribution and a cut-point Z for income/expenditure distributions. Union approaches require a unique k threshold for the combined distribution of income and deprivation and measures based only on the deprivation score need a k cut-point exclusive to this domain. The selection of a cut-point is a contested issue, but empirical methods have the potential to advance these debates. For both bi-domain (intersection) and uni-domain approaches, there is a lack of clear guidance about the reliability of some existing statistical approaches (the Bristol optimal method (BOM), the Poisson-based and negative binomial frameworks and mixture univariate analysis) for choosing k. Monte Carlo simulation is used to evaluate the performance of these methods, with the findings suggesting that the BOM is the most reliable method when certain reasonable assumptions hold.

Income polarisation, expenditure and the Australian urban middle class

Recent years have seen growing concern about the ‘hollowing out’ of the middle class, due to processes of polarisation. In this paper, we examine different conceptualisations of polarisation, and introduce the concept of expenditure-adjusted polarisation that considers not only income, but also various key categories of expenditure at a household level: housing, groceries and meals, transport and energy. Analysing longitudinal data from the Household, Income and Labour Dynamics in Australia Survey, we show that the Australian society is significantly more polarised, with fewer middle-income households, when the relative size of income groups in a given year is based on expenditure-adjusted income rather than pre-expenditure income. Such polarisation is particularly prominent when housing expenditure is considered and has distinctive spatial patterns. In contrast, our analysis finds no evidence of a temporal pattern of polarisation in Australia between 2005 and 2019, with no substantial change in the size of income groups over time, regardless of which income measures are used. We argue that a more nuanced conceptualisation of polarisation, and its relation to processes of ‘hollowing out’ and rising inequality, is needed to inform urban scholarship and policy.

Measuring long-run housing affordability for Malaysian millennial households: a geospatial and income distribution analysis

PurposeThe purpose of this study is to use a lifetime income measure to evaluate the long-run housing affordability for an understudied cohort of households in the literature – the millennials. The authors do this in the context of Malaysia, measuring long-run affordability for four housing types across geographic locations and income distributions.Design/methodology/approachThis study calculates a long-run housing affordability index (HAI) using data on house prices and household incomes. Essentially a ratio of predicted lifetime incomes to house prices, the HAI is computed for four common housing types in Malaysia from 2005 to 2016 and for six states in the country. The HAI is also compared across four income percentiles.FindingsThe analysis reveals varying patterns of housing affordability among different states in Malaysia. Housing affordability has declined since 2010, with most housing types being unaffordable for millennial-led households with the lowest income. Housing is most affordable for those in the highest income bracket, although even here, there are pockets of unaffordable housing as well.Practical implicationsBased on the findings, this study proposes three targeted interventions to improve housing affordability for Malaysian millennials.Originality/valueThis study fills a gap in the literature by examining the long-run housing affordability of Malaysian millennial-led households based on both geographic location and income distribution. The millennial population is understudied in the housing affordability literature, making this study a valuable contribution to the field.

Bank on it: Do Local Banks Contribute to Rural Community Prosperity?*

AbstractRecent research on the restructuring of the financial industry from local banks to interstate conglomerates has raised questions about the impact on nonmetropolitan economies. In this paper, we develop two competing hypotheses and scrutinize the impact of local bank concentration (percent banks that are locally headquartered) on four measures of economic growth from 1980 to 2010 in metropolitan, micropolitan, and non‐core Commuting Zones (CZs). We employ fixed effects panel regression models for the 1980–2010 time frame. We find that local bank concentration is positively related to business births and establishment dynamics in non‐core and micropolitan CZs. The effects of local banking on measures of income and wages fail to show consistent effects. There are no positive local banking concentration effects on economic growth in metropolitan CZs during this time frame. Implications for theory, research, and policy are discussed.

Well-Being and Income Across Space and Time: Evidence from One Million Households

This paper provides an overview of the global trends and driving forces of well-being and income. We extend the literature by examining inequality in both variables, since average well-being and income measures can obscure important disparities in people’s lives. We use data from the Gallup World Poll for nine years (2009–2017) and 158 countries (N = 1,437,897). Our analysis proceeds in two steps. First, we present country-level panel evidence. Second, we estimate microeconometric regressions to reveal the individual-level drivers of well-being and income. We find that the mean of well-being and income by development group varies little over time, while inequality in these two variables change significantly. We find no evidence of the Easterlin paradox after controlling for income inequality and show that income growth reduces well-being inequality. Further, drivers of mean and inequality in well-being and income are similar, but policymakers should consider the full distributional impact of investments.

Parental separation and school dropout in adolescence.

To document the association between parental separation and school dropout in adolescence and to examine the factors that may potentially account for this association. Data stem from the large youth@hordaland study that was linked to the Norwegian National Educational Database to obtain objective measures of educational outcomes and disposable income (N = 8323). Logistic regression analysis was used to investigate the association between parental separation and school dropout. A Fairlie post-regression decomposition was used to examine the influence of parental education, household income, health complaints, family cohesion, and peer problems in explaining the association between parental separation and school dropout. Parental separation was associated with a higher odds ratio (OR) of school dropout in crude and adjusted (adjusted odds ratio (AOR)) analyses (OR=2.16, 95% confidence interval (CI) =1.90-2.45; AOR = 1.72, 95% CI = 1.50-2.00). About 31% of the higher odds of school dropout among adolescents with separated parents was explained by the covariates. The decomposition analysis suggested that parental education (43%) and disposable income (20%) accounted for most of the explained differences in school dropout. Adolescents with separated parents are at higher risk for not completing secondary education. Parental education and disposable income accounted for most of the explained differences in school dropout between the groups. Still, the majority of the difference in school dropout remained unaccounted for, indicating that the link between parental separation and school dropout is complex and likely influenced by multiple factors.

Comparison of old and new revenue recognition criteria and countermeasures——Take Evergrande Real Estate Group Co., Ltd. as an example

In the current social development, transaction mode is constantly having to bring out the old, and the step and method of revenue recognition is becoming more and more complex. So the defects of the original income criterion are exposed gradually. In order to comply with the trend of Chinese economic development and perfect our accounting information standard, the Ministry of Finance made an innovation income recognition criterion decision. Therefore, the Accounting Standards for Business Enterprises No.14 Revenue (Finance and Accounting [2017] No.22) was released in July 2017. Compared with the original revenue recognition standards, the adjustment between the two standards and the revenue recognition standards in international financial reports basically converge, and the requirements for the way, time or time of revenue recognition of enterprises are significantly improved. Income is a very important indicator to evaluate the profitability of an enterprise in the process of operation, so the recognition and measurement of income is very important. The purpose of this study is to compare the differences between the old and new revenue recognition criteria, propose solutions to the problems, and clearly define how real estate enterprises recognize revenue under the new standard, what impact it will bring to real estate enterprises in practice, and what aspects real estate enterprises should pay attention to under the revised revenue criteria. This paper will also have a reference for other enterprises.

Software-Vendor Diversification: A Source of Organizational Rigidity in Adversity?

ABSTRACT Firms often assemble digital infrastructures using continuously evolving software applications sourced from a multitude of vendors. Using the theoretical lens of the threat-rigidity thesis, we raise the possibility that during adverse environmental conditions, software-vendor diversification can be a source of organizational rigidity that may dampen firm performance. Empirical analysis using data on 918 large public U.S. firms operating during two severe environmental shocks, the global financial crisis and the burst of the dot-com bubble, lends strong support to our thesis. Results indicate that a variety of firm performance indicators (e.g., stock return and operating income measures) are negatively associated with software-vendor diversification during crisis periods. Mediation analysis highlights the role of IT-related material weakness in firms’ internal controls in transmitting threat-rigidity effects that decrease performance. These results underscore the importance of software portfolio optimization for countering the dysfunctional effects of software-vendor diversification during adverse environmental shocks.

Incorporating socioeconomic status into studies on delay discounting and health via subjective financial status: An initial validation in tobacco use.

Delayed reward discounting (DRD) refers to the extent to which an individual devalues a reward based on its delay in time and has been linked to a wide variety of health behaviors. Because it is commonly measured using monetary rewards, income is typically used as a covariate to adjust for a person's socioeconomic status. Standard financial income measures have several limitations, such as not incorporating pertinent considerations like cost of living or number of financial dependents. This study examined a novel subjective financial status measure that uses a simple omnibus self-attribution as an alternative strategy. The novel measure was examined in the context of tobacco involvement and compared with a traditional objective measure in two samples, one comprising 1,430 community-recruited adults (Mage = 38.9, 58.3% female) and the other comprising 852 adult daily smokers (Mage = 31.1, 38% female). Associations between DRD, subjective and objective income measures, and cigarette dependence were explored using correlational analyses, equivalence testing, and hierarchical linear regressions. Correlations revealed subjective income was robustly positively correlated with traditional income (rs = .52-.56) and had stronger associations with DRD and cigarette dependence compared to traditional income. Equivalence testing and multiple hierarchical regressions found subjective income to be statistically equivalent or superior to the traditional income measure. These findings provide initial support for the utility of this novel subjective income measurement to account for economic status in research on DRD and health. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

MP12-05 THE IMPACT OF SOCIOECONOMIC STATUS ON THE SURVIVAL OF MEN WITH EARLY-ONSET PROSTATE CANCER

You have accessJournal of UrologyCME1 Apr 2023MP12-05 THE IMPACT OF SOCIOECONOMIC STATUS ON THE SURVIVAL OF MEN WITH EARLY-ONSET PROSTATE CANCER Carlos Riveros, Victor Chalfant, Ahmed El-shafie, Allison H. Feibus, Mohammed Al-Toubat, Soroush Bazargani, SeyedBehzad Jazayeri, Mark Bandyk, and K.C. Balaji Carlos RiverosCarlos Riveros More articles by this author , Victor ChalfantVictor Chalfant More articles by this author , Ahmed El-shafieAhmed El-shafie More articles by this author , Allison H. FeibusAllison H. Feibus More articles by this author , Mohammed Al-ToubatMohammed Al-Toubat More articles by this author , Soroush BazarganiSoroush Bazargani More articles by this author , SeyedBehzad JazayeriSeyedBehzad Jazayeri More articles by this author , Mark BandykMark Bandyk More articles by this author , and K.C. BalajiK.C. Balaji More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003227.05AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Prostate cancer (PC) is considered a disease of older men; about 10% of new diagnoses in the US occur in men ≤55 years old. Socioeconomic status (SES) has shown to influence survival in patients with PC; however, the impact of SES on men with early-onset PC remains undescribed. METHODS: Using the National Cancer Database, we identified men ≤55 years of age with PC between 2004-2018. Descriptive statistics were used to characterize differences among SES groups. Kaplan-Meier (KM) and Cox regression analyses were used to assess the effect of SES on overall survival (OS). To establish the impact of SES, the quartile assignments of median income and education level were combined to create a composite SES measure. Income and education level were determined by matching each patient’s zip code at the time of diagnosis with data derived from the 2016 American Community Survey on median household income and the percentage of people aged ≥25 years old who had not earned a high school diploma, respectively. The quartile assignments (Q1, Q2, Q3, Q4) of the income and education measures were added together to form 4 composite SES categories: 2-3=Low; 4-5=Mid-Low; 6-7=Mid-High; and 8=High. RESULTS: A total of 112,563 patients with early onset PC with a median follow-up of 79.0 months were included in the study cohort. Compared to high SES patients, low SES patients were more likely to be African American (42.4% vs. 8.6%; p<0.001), Hispanic (9.5% vs. 2.7%; p<0.001), and uninsured (5.2% vs. 1.1%; p<0.001); they were also more likely to live in a rural area (3.2% vs 0.1%; p<0.001) and have stage IV disease (5.5% vs. 3.1%; p<0.001). KM analysis showed that a decreasing SES was directly associated with lower rates of OS (log-rank test p<0.001). On multivariable analysis, SES was found to have a negative effect on OS (low SES vs. high SES; hazard ratio [HR] 1.54; 95% confidence interval [CI] 1.41-1.68; p<0.001) (Figure 1). CONCLUSIONS: In patients with early-onset PC, SES was associated with overall survival. SES should be considered when implementing programs to improve the management of patients with early-onset PC Source of Funding: none © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e134 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Carlos Riveros More articles by this author Victor Chalfant More articles by this author Ahmed El-shafie More articles by this author Allison H. Feibus More articles by this author Mohammed Al-Toubat More articles by this author Soroush Bazargani More articles by this author SeyedBehzad Jazayeri More articles by this author Mark Bandyk More articles by this author K.C. Balaji More articles by this author Expand All Advertisement PDF downloadLoading ...

Front-end Innovation and Top Income Inequality: Evidence from Emerging Markets

We contribute to the literature on income inequality, by extending existing models to examine the effect of front-end innovation (FEI) on top income inequality. We use a fixed effect panel regression, on annual country-level data for twenty-four emerging markets, over twenty-four (1995–2018) years, and find an insignificant correlation between income inequality and FEI. The instrumental variable estimates, however, show a significant association between measures of FEI and top income shares. Furthermore, we confirm that FEI is weakly related to broad measures of income inequality. Our instrumentation strategy and robustness checks suggest that this correlation partly reflects a causality, from FEI to top income inequality. Finally, we reveal that FEI is necessary for the survival of new ventures, in the crucial early years. Overall, our findings confirm that that; a) sectors that scale slowly because institutions are a substantial barrier for FEI and, b) sectors that rely solely on the most skilled front-end innovators to access credit, significantly expand top entrepreneurial income share across emerging markets.