scholarly journals Spatial data modeling in disposable income per capita in china using nationwide spatial autoregressive (SAR)

2017 ◽  
Vol 3 (2) ◽  
pp. 98 ◽  
Author(s):  
Tuti Purwaningsih ◽  
Anusua Ghosh ◽  
Chumairoh Chumairoh
Keyword(s):  
Spatial Data ◽  
Capita Income ◽  
Disposable Income ◽  
Spatial Effects ◽  
Per Capita Income ◽  
Foreign Exchange Earning ◽  
Income Per Capita ◽  
The World ◽  
Spatial Autoregressive ◽  
Per Capita

China as a country became the economic center of the world. However, with a population of 1.3 billion, China's per capita income is still at number 80 in the world. In the world, considering the imbalance between town and country with 100 million people still living in poverty. Thus, to address this imbalance, it is necessary to study the condition in depth, because income per capita is often used as a benchmark to measure the prosperity of a country. With greater and equitable income per capita, the country will be judged increasingly affluent. Two factors, mainly industry and tourism, play an important role in the economic progress in China. These are include Per capita Disposable Income Nationwide (yuan), Total Value of Exports of operating units (1,000 USD), Registered Unemployed Person in Urban Area (10000 person), Foreign Exchange Earning from International tourism(in millions USD) and Number of Overseas Visitor Arrivals (million person/time). Thus, it is necessary to investigate the influence of these factors to increase per capita income. Since the economic development of a region usually affect the surrounding area, this study aims to include spatial effects, using Spatial Autoregressive (SAR) Model. The results suggest that the per capita income affected by the Tourism factor is about 58.65% (R-squared).

scholarly journals Do Democratic Economies Grow Faster? The Case of Asia vs. the EU

2018 ◽  
Vol 14 (2) ◽  
pp. 115
Author(s):  
Samuel D. Barrows
Keyword(s):  
World Bank ◽  
Capita Income ◽  
Time Frame ◽  
Per Capita Income ◽  
The World Bank ◽  
The World ◽  
Per Capita ◽  
Economic Growth Rates ◽  
The Impact ◽  
The Eu

The dynamics of the five fastest growing GDP per capita economies in Asia and the EU are studied between 2010 and 2014. This time frame was selected in order to avoid the height of the 2008-2009 financial crisis, but to include the stimulus and recovery periods which occurred afterward. The intent was not to compare the recoveries or the impact of the stimulus programs. The intent was to compare the economic growth rates of the two groups and also the absolute per capita income along with five topic areas on economies including: configuration, utilization, investments, demographics, and outcomes. A total of twenty measurements are used for assessment from the World Bank databank website. The findings are that the Asian economies grew faster while the EU economies had a higher per capita income. The workforces of the Asia economies are also younger and more flexible whereas the workforces of the EU economies are older, but more educated. Discussions include the links between effective governments and economic development and the links between democracy and economic levels.

The Loan Shark in ASEAN

2020 ◽  
pp. 252-277
Author(s):  
Khairunnisa Musari
Keyword(s):  
Gross Domestic Product ◽  
Capita Income ◽  
Southeast Asian ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Per Capita Income ◽  
The World ◽  
Per Capita ◽  
Asean Countries ◽  
Loan Shark

Loan shark is a humanitarian problem faced by many countries in the world, including in Asia, even in the Association of Southeast Asian Nations (ASEAN)'s countries. Loan shark activities are found not only in Myanmar and Cambodia, which has the lowest per capita income in ASEAN but also in Indonesia, Thailand, Malaysia, Brunei, and even Singapore, which are the five countries with the highest gross domestic product (GDP) per capita in ASEAN. How are loan shark practices in ASEAN countries? Can nanofinance overcome the microfinance gap to fight the loan shark? How the practice of Bank Wakaf Mikro (BWM) in Indonesia to nanofinance with qardhul hassan contract? Find the answers in this chapter.

The Determinants of U.K. Investment Abroad, 1870–1913: The U.S. Case

1974 ◽  
Vol 34 (4) ◽  
pp. 980-1007 ◽  
Author(s):  
Michael Edelstein
Keyword(s):  
Economic History ◽  
Capita Income ◽  
National Income ◽  
Industrial Output ◽  
Per Capita Income ◽  
The World ◽  
Per Capita ◽  
Foreign Lending ◽  
The U.S

Perhaps because the world had never before or since seen such a large proportion of national income devoted to accumulating overseas assets, the processes of British accumulation in the period from 1870 to 1913 have long been given disproportionate attention in the study of modern British economic history. Calculations based on C. H. Feinstein's latest studies of U.K. income, expenditures and product suggest that roughly half of the nation's annual savings took the form of net foreign lending during these years, savings averaging slightly less than ten percent of net national income. Undoubtedly, interest in these matters has been further augmented by the intriguing problem of the United Kingdom's loss of world leadership in both industrial output and per capita income during these same years.

Dynamics, Characteristics and Prospects of Consumer Spending in Albania

2017 ◽  
Vol 7 (2) ◽  
pp. 81-91
Author(s):  
Alqi Naqellari ◽  
Eros Angjeli ◽  
Nexhmi Dumani
Keyword(s):  
Capita Income ◽  
National Income ◽  
Synthesis Methods ◽  
Per Capita Income ◽  
Light Industry ◽  
The World ◽  
Analysis And Synthesis ◽  
Alcoholic Drinks ◽  
Per Capita ◽  
Rates Of Growth

Abstract In this paper analyzes the problem of the dynamics of income and expenditure of households in Albania. Analyzing costs in general, spending on food in particular, both connected with a range of other indicators of welfare, with per capita income, expenses for the basket of goods, according to its elements and structure. Survey basket expenditure according to regions of Albania. Analyzed per capita income, expenses basket compared with countries in the region, Europe and the world. The goal is: to extract an accurate conclusion, the place at which ranks Albania in these indicators. What to do in the future, in order to emerge from this negative situation. The conclusions drawn from the analysis are: Albania ranks last places of the world, the indicator of per capita income and expenditure of households. Ranked in first countries in the region and in Europe for the indication of the percentage of expenditure on food and non-alcoholic drinks to the total cost of items in the basket. This situation has come as a result of lower rates of growth of its economy. It recommended changes in the structure of GDP in terms of growth of light industry and food industry extraction and processing, etc. By developing these branches will grow faster GDP and national income, and consequently will increase per capita income. Methods used are: methods of analysis and synthesis, methods of description and comparison, statistical methods etc.

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 ASSESSING THE IMPACT OF ECONOMIC GROWTH ON INEQUALITY IN INDIA

2020 ◽  
pp. 5-8
Author(s):  
Furqan Ali ◽  
Mohammad Asif
Keyword(s):  
Economic Growth ◽  
Income Distribution ◽  
Capita Income ◽  
Political Stability ◽  
The State ◽  
Per Capita Income ◽  
Short Period ◽  
The World ◽  
Per Capita ◽  
The Impact

The rate of economic growth in India fluctuates with the world economic scenario. The developed countries being economically stable and highly advanced by technology, like U.S.A, France, Germany, Japan, and China faced the problem of economic crises. At the same time, the world comes to fluctuate their efficiency and empowerment to the leadership engagement in stabilizing the economy. In this paper, data taken from the Indian States as per capita income at the state level and compare it with all India average data. The Net State Domestic Product Per Capita Income (NSDPPCI), had taken on a current price for the short period 2011-2012 to 2016-2017. This paper compared the regional variation in state performance and compared the most riches states to inferior ones. The factors which affect economic performance are like stabilize the political stability in the state. We also focus comparison on the different political party announcements of the welfare scheme for the farmers and other poor people living in these states. Another factor like the level of education at states and center level, total population, and its growth rate, the public expenditure on the health sector. We measure income inequality, income distribution with the economic growth of India. KEYWORDS: Economic Growth; Inequality; Income Distribution; Political Stability.

scholarly journals Per-capita income versus household-need adjusted income: a cross-country comparison

2009 ◽  
pp. 11
Author(s):  
Christos Koulovatianos ◽  
Polina Minkovski ◽  
Carsten Schröder
Keyword(s):  
Capita Income ◽  
Household Size ◽  
Disposable Income ◽  
Per Capita Income ◽  
Demographic Trend ◽  
Country Comparison ◽  
Per Capita ◽  
Cross Country ◽  
Over Time

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.

scholarly journals Relationship between income inequality, socioeconomic development, vulnerability index, and maternal mortality in Brazil, 2017

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Maria do Socorro Candeira Costa ◽  
Francisco Winter dos Santos Figueiredo
Keyword(s):  
Maternal Mortality ◽  
Capita Income ◽  
Gini Index ◽  
Socioeconomic Development ◽  
Maternal Mortality Ratio ◽  
Socioeconomic Indicators ◽  
Per Capita Income ◽  
Socioeconomic Determinants ◽  
Income Per Capita ◽  
Per Capita

Abstract Background Public health recognizes that health conditions depend on factors related to the development patterns income distribution, degree of poverty, working conditions, among other social determinants. The objective of this study was to analyze the association of maternal mortality with the Human Development Index (HDI), Gini Index, Income per capita, and the Social Vulnerability. Method The study analyzed the relationship between MMR and socioeconomic indicators in the 26 federative units and the Federal District of Brazil, in 2017. The socioeconomic indicators used in the study were: HDI, Gini Index, Income per capita, and SVI. Crude and adjusted linear regression were performed between maternal mortality and socioeconomic indicators. Results When analyzing which socioeconomic determinants that are related to maternal mortality ratio rates, a higher per capita income positive effect was observed for lower MMR (β = − 150.8; CI 95% -289.9 to − 11.7; r2 = 0.17; p = 0.035), as well as a trend of higher MMR in relation to the SVI (β = 97.7; CI 95% -12.2 to 207.6; r2 = 0.12; p = 0.079). In model found by the stepwise forward selections, only the per capita income was um index related to less RMM (β = − 0.02; CI 95% -0.05 to − 0.002; r2 = 0.15; p = 0.028). Conclusion The findings showed that the per capita income has a negative association MMR in the different states of Brazil, but seems canceled because of the other socioeconomic determinants related to the poor live conditions.

Riverbank Erosion and Population Resettlement in Bangladesh

1991 ◽  
Vol 13 (3) ◽  
pp. 29-33 ◽  
Author(s):  
M. Zaman ◽  
R. Wiest
Keyword(s):  
Natural Disaster ◽  
Rural Areas ◽  
Capita Income ◽  
Average Density ◽  
Per Capita Income ◽  
The West ◽  
The World ◽  
Riverbank Erosion ◽  
Great Pressure ◽  
Per Capita

Two images of Bangladesh as a country are commonplace in the West and often simplistically intertwined—a land of overpopulation and poverty, and a land cursed by natural disaster. Bangladesh is one of the poorest countries in the world with an estimated per capita income equivalent to only U.S. $180. It is also one of the world's most crowded countries. One hundred thirteen million people live in Bangladesh, an area about the size of Wisconsin, with an average density close to two thousand people per square mile. Since only 13% of the population is urban, this tremendous population, currently growing at a rate of 2.8% per annum, exerts especially great pressure on resources in the rural areas.

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