GDP per capita as a share of the national average by type of region, Korea, 2000 vs. 2017

2018 ◽  
Vol 4 (2) ◽  
pp. 65-74
Author(s):  
Łukasz Grzęda

The article presents the results of the analysis of factors influencing the development of the Mazowieckie Province (Masovia) in the years 2007–2016. Data for the study were collected from the Central Statistical Office and Statistical Yearbooks of the Mazowieckie Province. The results indicate that the level of development of Masovia is considerably higher than of other provinces in the country. At the end of the analyzed period, in Masovia the GDP per capita was almost twice as high as the national average. Masovia held the highest share in Poland’s GDP (22%). Important factors positively affecting the development of Masovia are: positive population growth and improving demographic situation, and broad access to telecommunications. Additional factors of the dynamic Masovia’s development are: extensive transportation infrastructure (104.3 km per 100 km2) and high number of students (236.5 thousand) and college graduates (60.8 thousand) who constitute the future substantive resources of the province’s economy.


Significance Municipal elections on May 16 will be particularly significant in Zagreb, where Bandic’s death lays wide open Croatia’s third-most-important political contest, after those for parliament and the presidency. His 20-year rule of Croatia’s capital was dogged by accusations of corruption, including a spell in prison awaiting trial. He died with the Agram case and an appeal against acquittal in another case undecided. Impacts Bandic was a key HDZ ally in the capital, where the ruling party has little traction. His well-established network of political and business associates could try to survive under new leadership. Zagreb is a key political prize in Croatia, with GDP per capita twice the national average and one-fifth of the population.


Author(s):  
Леонид Басовский ◽  
Leonid Basovskiy ◽  
Елена Басовская ◽  
Elena Basovskaya

The updated econometric estimates of the influence of new technologies and human capital on the contribution of new technological structures to the per capita GDP in the regions of the Central and North-Western federal districts of Russia are obtained. The article estimates coefficients of elasticity of the contribution of new ways to GDP per capita by the use of the new technologies estimated by capital-labor ratio of work by new fixed assets and by the use of the human capital estimated by a share of busy workers with the higher education. In case of big sizes of coefficients of elasticity of the contribution of new ways to GDP per capita on the use of the new technologies estimated by capital-labor ratio of labor by new fixed assets it is reasonable to increase the investments into fixed assets of the region. In case of big sizes of coefficients of elasticity of the contribution of new ways to GDP per capita on the use of the human capital estimated by a share of busy workers with the higher education it is reasonable to increase, first of all, a share of workers with the highest education.


2011 ◽  
Vol 02 (01) ◽  
pp. 121-137
Author(s):  
THOMAS H. W. ZIESEMER

The literature on the effects of aid and remittances as a share of GDP on growth of the GDP per capita has placed much emphasis on growth regressions thereby emphasising only the direct effects on growth. In order to get the total effect one has to capture the indirect ones too and integrate them with the direct effects. To do so we integrate all equations into a dynamic system and run a baseline simulation. We compare several scenarios — doubling aid, cutting remittances to half, and stopping net migration — to the baseline simulation for all variables.


Author(s):  
Nassim Dehouche

A remarkable, unquestioned assumption in studies measuring the association between national average Intellectual Quotients (IQ) and Gross Domestic Products (GDP) per capita is that a supposedly immutable genetic factor (IQ) may be correlated with a markedly fluctuant one (the wealth of nations). Using historical GDP per capita data produced by the Maddison project, we find that, over history, the (Pearson productmoment) correlation coefficient (r) between average IQ and GDP per capita is highly variable and ranges from strong negative values to strong positive values. The correlation between national IQ and GDP per capita is thus a snapshot of the world order at some point in time, and historical data allow us to identify several other eras. Moreover, global GDP at any point in time is never difficult to predict in the first place. We show that arbitrary ad-hoc scores based on a country’s continental location present a more significant correlation with contemporary GDP per capita. We conclude this paper by a call to clarify the purpose of IQ studies in Macroeconomics and for the consideration of GDP as a time-series in this line of research.


2016 ◽  
Vol 6 (7) ◽  
pp. 167-186
Author(s):  
Xuan-Binh Vu ◽  
Son Nghiem

Our recent paper (Vu et al., 2016) applied the Phillips and Sul’s method (2007, 2009) and found that the 61 provinces of Vietnam were formed in five convergence sub-groups. This current paper identifies trends and patterns of inequality in provincial GDP per capita of each sub-group of provinces in Vietnam during the period 1990-2011. It also analyses the growth path of each province compared with that of the reference economy [Ho Chi Minh City (HCMC) and the national average]. The results show that there were the downward trends of inequality in GDP per capita of each sub-group. Also, during the period 1990-1994, most provinces diverged from HCMC but during the period 2004-2011, all provinces tended to converge to it. However, there were few poorest provinces, which tend to be located in geographically and economically isolated regions of Vietnam. This paper analyses main characteristics of provinces and key factors affecting the trends and patterns of disparities in GDP per capita of each sub-group. Furthermore, several policy implications are discussed.


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