MULTIVARIATE TOBIT SYSTEM ESTIMATION OF EDUCATION EXPENDITURE IN URBAN CHINA

2014 ◽  
Vol 59 (01) ◽  
pp. 1450005 ◽  
Author(s):  
QUHENG DENG ◽  
JINJUN XUE
Keyword(s):  
Income Inequality ◽  
Survey Data ◽  
Household Income ◽  
Private Tutoring ◽  
Urban China ◽  
Education Expenditure ◽  
Education Inequality ◽  
Income Per Capita ◽  
Education Expenditures ◽  
Per Capita

Using the 2007 education survey data in urban China, this paper measures the inequality of education expenditures, an indicator of education inequality, and analyzes the effect of household income on the components of education expenditures. Since the components of education expenditure are censored and inter-related, this paper runs a multivariate Tobit system regression of five categories of education expenditures. Our results imply that household income per capita positively affects expenditure on boarding, private tutoring and costs for selecting schools but does not affect expenditure on textbooks. In return, the inequality of education expenditures contribute to income inequality in urban China.

scholarly journals Income Inequality among Various Occupations/Professions in Pakistan-Estimates Based on Household Income Per Capita

2002 ◽  
Vol 7 (1) ◽  
pp. 89-106 ◽  
Author(s):  
Mehboob Ahmad
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Household Income ◽  
Green Revolution ◽  
Income Per Capita ◽  
Income Inequalities ◽  
Per Capita ◽  
The Impact ◽  
Distribution Of Income

Introduction There is a long list of studies related to distribution of income in Pakistan. Most of these have been confined to the calculation of various measures of inequalities. These studies include Khadija Haq (1964), Bergan (1967) Mehmood (1984), Ercelawn (1988), Ahmad and Ludlow (1969) etc. Apart from these there are other studies including Jeetun(1978), Chaudhry (1982), Cheema and Malik (1984) Kruijk and Leeuwen (1985), Kruijk (1986), Kemal (1994), Jaffery and Khattak (1995), Chaudhary (1995) etc. Jeetun (1978) in his paper concentrated on consequences of economic growth on the level of inequality whereas Chaudhary (1982) tried to find out the impact of the Green Revolution on income inequalities. Cheema and Malik (1984) tried to find out the effects of different income policies on the consumption and level of employment in Pakistan. Kemal (1994) examined the impact of the adjustment period of Pakistan since the late 1970s on efficiency and equity.

Changes in Income Distribution in Brazil

2018 ◽  
Author(s):  
Rodolfo Hoffmann
Keyword(s):  
Income Inequality ◽  
Household Income ◽  
Gini Index ◽  
Military Coup ◽  
Transfer Programs ◽  
Per Capita ◽  
The Government ◽  
The Military ◽  
The Impact ◽  
Very High

Income inequality in Brazil, already high, increased after the military coup of 1964 and remained very high even after democratization in the 1980s. It decreased substantially in the period 2001–2014, after inflation was controlled. The Gini index of the per capita household income dropped from 0.594 in 2001 to 0.513 in 2014. The determinants of this decline in inequality are analyzed considering the components of that income and how each one affected changes in inequality, showing the impact of changes in the remuneration of private sector employees and in pensions paid by the government, as well as federal transfer programs. Changes in education lie behind the first of these effects, and the increase of the minimum wage reinforced all three. The economic crises after 2014 interrupted the process of decline, and among economically active persons, inequality even increased from 2014 to 2015. Measures to further reduce inequality are suggested.

The Economic Impact of Ecotourism on Regional China: Further Evidence from Yunnan and Sichuan Provinces

2018 ◽  
Vol 19 (3) ◽  
pp. 533-542 ◽  
Author(s):  
Yan Li ◽  
Qin Sun ◽  
Yapa M. W. Y. Bandara ◽  
Kishor Sharma ◽  
John Hicks ◽  
...  
Keyword(s):  
Economic Impact ◽  
Household Income ◽  
Yunnan Province ◽  
Value Added ◽  
Chinese Youth ◽  
Income Per Capita ◽  
Employment Generation ◽  
Per Capita ◽  
The Impact ◽  
Further Development

This article contributes to the literature on the economic impact of ecotourism in regional China with a focus on Yunnan and Sichuan provinces, which attract about 50 per cent of the total number of tourists visiting China annually. Our analysis suggests that tourism significantly contributes to value added, output, income and employment generation in Yunnan and Sichuan provinces, although the level of contribution varies between the two provinces. For example, the impact of an additional tourist dollar would be higher in generating employment and household income in Yunnan province, while the same dollar has a higher impact in generating value added in Sichuan. While in both provinces international tourists generate much higher income per capita than their domestic counterparts, in comparison with Sichuan, Yunnan is considered to be better placed for further development of tourism, particularly ecotourism. The promotion of ecotourism in these provinces will also encourage the Chinese youth to stay in their own provinces rather than to migrate to export-processing provinces—a problem that has already created a concern among the Chinese policymakers.

scholarly journals PENGARUH KETIMPANGAN PENDAPATAN, PENDAPATAN PER KAPITA, DAN PENGELUARAN PEMERINTAH DI BIDANG KESEHATAN TERHADAP SEKTOR KESEHATAN DI INDONESIA

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Uswatun Hasanah
Keyword(s):  
Income Inequality ◽  
Capita Income ◽  
Health Effect ◽  
Government Expenditure ◽  
Health Sector ◽  
Research Area ◽  
External Factors ◽  
Per Capita Income ◽  
Income Per Capita ◽  
Per Capita

AbstractHuman resource is one of capital importance in the development of a nation. One of the important aspects that affect human resources are a public health level, where health sector has an important role. The status of one's health is the result of the interaction of various factors, namely internal and external factors. Internal factors consist of physical and psychological factors, while external factors consist of economic factors, education, environment and cultureThis research aims to examine and analyze the effect of income inequality as measured by the Gini Ratio against the health sector as measured by life expectancy in Indonesia in 2005-2013. On the research of regression equation using data panels with Random Effects Model approach. The results of this research is the inequality of income, per capita income, and Government expenditure in the health effect simultaneously against health sector in Indonesia in 2005-2013 and is partial, inequality of income, per capita income, and Government expenditure in the health sector impact health sector in Indonesia in 2005-2013. Keywords : Health sector, income inequality, income per capita, Government expenditure in health sector. Research Area: Indonesia

scholarly journals Regional Income Inequality in Lithuania

2020 ◽  
Vol 16 (4) ◽  
pp. 1104-1114
Author(s):  
Daiva Laskiene ◽  
Irena Pekarskiene ◽  
Rima Kontautiene
Keyword(s):  
Income Inequality ◽  
Household Income ◽  
Western Europe ◽  
Small Country ◽  
Regional Income ◽  
Equal Distribution ◽  
Regional Economic Policy ◽  
Regional Income Inequality ◽  
Per Capita ◽  
High Level

The problem of income inequality is globally relevant, receiving the attention of both scientists and pol- iticians. Lithuania as a small country has made significant progress in approaching the standard of liv- ing in Western Europe. However, there are still differences in economic growth between separate popula- tion groups. Thus, the problem of income inequality remains very acute. Currently, researchers are widely discussing the risk of income inequality to the country’s society by analysing its causes and proposing var- ious solutions. Although scientific debates address income inequality across regions, such studies are often limited to examples of large countries. Meanwhile, there is a lack of studies on regional income inequality in small countries, so the question of whether a small country is characterised by regional income inequal- ity remains open. This research aims to examine the level of regional income inequality in Lithuania. We hy- pothesised that Lithuania has a high level of regional income inequality and this is one of the causes of the high income inequality in the whole country. To estimate regional income inequality, we used the most com- mon measures: Gini coefficient, decile ratio, and the coefficient of variation. The analysis was performed at level 3 of the Nomenclature of Territorial Units for Statistics (NUTS), according to which Lithuania is divided into 10 administrative counties. For this research, we chose the indicators illustrating income per capita on various levels, i.e., gross domestic product (GDP) per capita, average disposable household income per cap- ita, and gross hourly wages, as the various types of income can be used. For the estimation of GDP per cap- ita and average disposable household income, we analysed the data provided by the Lithuanian Department of Statistics (Statistics Lithuania) for 2014–2017. Due to a lack of data to estimate gross hourly wages, we examined the statistical data from the Lithuanian Department of Statistics for 2014. The results show that the hypothesis has not been confirmed. According to the research results, there is a small distribution of in- come between different regions of a small economy, although the level of economic development of different regions differs. The study findings are important not only from an academic perspective for identifying the causes of income inequality and raising questions for further research, but also for regional economic policy makers. The obtained results show that decisions related to a more equal distribution of income in Lithuania as a small country are determined not only by the specificity of its regions but also by the general trends of the country.

Association between annual household income and adverse outcomes in patients who had ischaemic stroke

2021 ◽  
pp. jech-2021-216481
Author(s):  
Yuhan Zang ◽  
Zhengbao Zhu ◽  
Mengyao Shi ◽  
Aili Wang ◽  
Xuewei Xie ◽  
...  
Keyword(s):  
Ischaemic Stroke ◽  
Household Income ◽  
Primary Outcome ◽  
Meta Analysis ◽  
Income Level ◽  
Annual Household Income ◽  
Vascular Events ◽  
Income Per Capita ◽  
Link Type ◽  
Per Capita

Background and purposeThe association between annual household income and prognosis of ischaemic stroke remains debatable. We aimed to prospectively investigate the relationship between annual household income and prognosis at 3 months after ischaemic stroke.MethodsWe included 3975 participants from the China Antihypertensive Trial in Acute Ischemic Stroke. All participants were categorised into three groups according to annual household income per capita: <¥10 000 (Chinese Yuan Renminbi (RMB)), ¥10 000–19 999 and ≥¥20 000. The primary outcome was a composite outcome of death and major disability (modified Rankin Scale score ≥3) at 3 months after stroke onset, and secondary outcomes included major disability, death, and vascular events. A meta-analysis was conducted to incorporate the results of the current study and previous studies on the association of income level with outcomes after stroke.ResultsWithin 3 months after ischaemic stroke, 1002 participants (25.20%) experienced primary outcome (880 major disabilities and 122 deaths). After multivariate adjustment, low annual household income level was associated with increased risk of the primary outcome (OR 1.60; 95% CI: 1.12 to 2.31; Ptrend=0.034) when two extreme groups were compared. The meta-analysis confirmed the significant association between income level and death or major disability after stroke (pooled relative risk for lowest vs highest income level, 1.31 (95% CI: 1.18 to 1.45)).ConclusionsLow annual household income per capita was significantly associated with increased risks of adverse clinical outcomes at 3 months after ischaemic stroke, independently of established risk factors. Further studies from other samples are needed to replicate our findings due to a reason for excluding some patients who had a severe stroke in this study.Trial registration numberClinicalTrials.gov (http://wwwclinicaltrialsgov) Registry (NCT01840072).

scholarly journals Explaining Individual Subjective Well-Being of Urban China Based on the Four-Capital Model

2018 ◽  
Vol 10 (10) ◽  
pp. 3480 ◽  
Author(s):  
Shuai Zhang ◽  
Binbin Liu ◽  
Dajian Zhu ◽  
Mingwang Cheng
Keyword(s):  
Air Quality ◽  
Physical Health ◽  
Household Income ◽  
Social Trust ◽  
Natural Capital ◽  
Well Being ◽  
Urban China ◽  
Social Connection ◽  
Subjective Well Being ◽  
Per Capita

A growing body of literature explains subjective well-being (SWB) from different perspectives. The statement of “built, human, social, and natural capital are necessary determinants of SWB” is named the four-capital model. Based on a cross-sectional dataset in 2013, which included 3293 individuals and covered the urban areas of most provinces in China, this paper employs the four-capital model to explain individual SWB of urban China. We select individual income and household income per capita as proxies of built capital; physical health and education as proxies of human capital; social connection and social trust as proxies of social capital; and air quality as a proxy of natural capital. In the four-capital model, household income per capita and physical health have almost the same and larger positive impacts on individual SWB of urban China; social connection, social trust, and air quality have smaller and diminishing positive impacts on individual SWB of urban China; and individual income and education are statistically insignificant. The empirical results offer guidance on how to achieve human-centered urbanization for China. This paper provides insights into how to further improve human well-being of urban residents in China and the applicability of the four-capital model in explaining SWB at the individual level.

China's Household Income and Its Distribution, 1995 and 2002

2005 ◽  
Vol 182 ◽  
pp. 356-384 ◽  
Author(s):  
Azizur Rahman Khan ◽  
Carl Riskin
Keyword(s):  
Income Inequality ◽  
Development Strategy ◽  
Household Income ◽  
Urban China ◽  
International Standards ◽  
Farm Income ◽  
Urban Inequality ◽  
Rural And Urban ◽  
Western Development ◽  
Urban Rural

A new, independently designed household income survey for China in 2002 shows some decline in income inequality in both rural and urban China since 1995. However, the overall Gini ratio for China remained unchanged due to a rise in the urban–rural income gap. The reduction in rural inequality stemmed mainly from a fall in both inter-provincial inequality and inequality within most of the provinces, as well as from a further improvement in the distribution of wage income and farm income and a reduction in the regressiveness of net taxes. The reduction in urban inequality came from a fall in inter-provincial inequality and better distribution of imputed rental income and net taxes. The results raise questions about whether recent more equity-oriented policies, such as the “great western development strategy,” began to reduce some dimensions of overall income inequality. For the first time, a special survey was implemented to furnish data on migrants living in towns and cities. Incorporating the migrants into the urban population raises urban inequality and reduces the urban–rural gap somewhat, but leaves the latter still very high by international standards.

Sign in / Sign up

Export Citation Format

Share Document