Household net adjusted disposable income: USD at current PPPs, per capita, 2015

Keyword(s):  
2021 ◽  
Vol 13 (11) ◽  
pp. 6278
Author(s):  
Lars Carlsen ◽  
Rainer Bruggemann

The inequality within the 27 European member states has been studied. Six indicators proclaimed by Eurostat to be the main indicators charactere the countries: (i) the relative median at-risk-of-poverty gap, (ii) the income distribution, (iii) the income share of the bottom 40% of the population, (iv) the purchasing power adjusted GDP per capita, (v) the adjusted gross disposable income of households per capita and (vi) the asylum applications by state of procedure. The resulting multi-indicator system was analyzed applying partial ordering methodology, i.e., including all indicators simultaneously without any pretreatment. The degree of inequality was studied for the years 2010, 2015 and 2019. The EU member states were partially ordered and ranked. For all three years Luxembourg, The Netherlands, Austria, and Finland are found to be highly ranked, i.e., having rather low inequality. Bulgaria and Romania are, on the other hand, for all three years ranked low, with the highest degree of inequality. Excluding the asylum indicator, the risk-poverty-gap and the adjusted gross disposable income were found as the most important indicators. If, however, the asylum application is included, this indicator turns out as the most important for the mutual ranking of the countries. A set of additional indicators was studied disclosing the educational aspect as of major importance to achieve equality. Special partial ordering tools were applied to study the role of the single indicators, e.g., in relation to elucidate the incomparability of some countries to all other countries within the union.


Author(s):  
Anqi Yao ◽  
Xingrong Shen ◽  
Jing Chai ◽  
Jing Cheng ◽  
Rong Liu ◽  
...  

Abstract Background This study aimed to identify characteristics and trends in insurance-reimbursed inpatient care (NRIC) for gastric and oesophageal cancers and inform evaluation of medical systems reform. Methods The study extracted routinely collected records of claims for reimbursement from the New Rural Cooperative Medical System (NRCMS) in Anhui Province, China and performed descriptive and regression discontinuity analysis. Results From 2013 to 2017, NRIC in terms of person-time per million people (pmp) increased 5.60 and 20.62 times for gastric and oesophageal cancers, respectively. Total expense per episode for gastric and oesophageal cancers increased from 1130.25 and 22 697.99 yuan to 12 514.98 and 24 639.37 yuan, respectively. The ratio of out-of-pocket expenses per inpatient care episode to annual disposable income per capita was 0.43 for gastric cancer and 0.91 for oesophageal cancer and decreased by 0.17 and 0.47, respectively. Regression discontinuity modelling revealed that, when controlled for disposable income, illiteracy rate and months from start time, the treatment variable was significantly associated with person-times of NRIC pmp (β=0.613, p=0.000), length of stay per 105 people (β=−52.990, p=0.000) and total expenses per NRIC episode (β=2.431, p=0.000). Conclusions The study period witnessed substantial achievements in benefits to patients, inpatient care efficiency and equity. These achievements may be attributed mainly to the recent reforms launched in Anhui province, China.


2019 ◽  
Vol 38 (2) ◽  
pp. 184-192 ◽  
Author(s):  
Xuemei Han ◽  
Ci Hu ◽  
Ling Lin

Based on the IPAT model, this study selects the two-order lag period that is then applied to the dynamic model created to explore the impact of China’s urbanization on the quantity of municipal solid waste (MSW) produced. The study uses panel data collected from 27 provinces, autonomous regions, and municipalities in China that report directly to the central government. Results show that nationwide urbanization and urban per capita disposable income are positively correlated with the quantity of MSW produced. However, specifically, urbanization in the eastern and midwestern areas of China is insignificantly correlated with the quantity of MSW produced. It is, therefore, recommended that citizens should make sensible and environmental consumption decisions based on per capita disposable income. It is also suggested that quality development and Stead’s urbanization plan should become national policy, and that MSW categorization and a recycling policy should be implemented to treat MSW effectively.


2021 ◽  
pp. 1-9
Author(s):  
Bin Zhao ◽  
Jinming Cao

This paper discusses the statistical measurement of the impact of COVID-19 major emergencies on farmers’ economic income in Hubei Province. Hubei Province was selected as the object of analysis, and five data of total output value of agriculture, forestry, animal husbandry, fishery and per capita disposable income of farmers in Hubei Province from the first quarter of 2013 to the second quarter of 2020 were collected by using the Internet. Since all the collected data were macroeconomic data, these data were taken the logarithm to meet the economic significance. The per capita disposable income of farmers was taken as the response variable, and the main factors affecting farmers’ income were obtained by factor analysis. Livestock husbandry and fishery industries were the main industries in Hubei Province. Then the score of factor analysis were taken as explained variable to establish a regression model composed of influencing factors. This paper uses the multiple linear regression, support vector regression to fitting and forecasting data, ARIMA model of time series analysis, introduced at the same time, through the AIC model choice, with the first quarter of 2013 to 2019 in the second quarter fitting training, backward prediction two quarters, and three or four quarter of 2019 compared with the real data, through to the predicted results of the sequence diagram and evaluation index model to compare the mean square error (RMSE). Three models predict per capita disposable income of farmers in the first and second quarter of 2020. It has been found that performance better ARIMA model in the model compare is worse than before, and three kinds of predicted values are higher than the real value of the model, showed the outbreak to the influence of the agricultural economy in Hubei province is serious. On this basis, taking into account the characteristics of geomorphic climate in Hubei province, constructive suggestions are put forward.


2009 ◽  
pp. 11
Author(s):  
Christos Koulovatianos ◽  
Polina Minkovski ◽  
Carsten Schröder

We use data from the Luxembourg Income Study in order to quantify the economy-wide monetary gains achieved by Household-Size Economies, due to the within-household sharing of goods by individuals living in multi-member households. In most of the twenty countries we examine, we observe a decline in monetary gains achieved by Household-Size Economies over time. This decline is the result of a demographic trend towards smaller-sized household units, rather than a change in the shares of aggregate disposable income earned by household types of different size.


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