scholarly journals Analysis of GDP Trends and Inequalities in Vietnam’s Provinces and Groups of Provinces

2016 ◽  
Vol 6 (7) ◽  
pp. 167-186
Author(s):  
Xuan-Binh Vu ◽  
Son Nghiem
Keyword(s):  
National Average ◽  
Policy Implications ◽  
Current Paper ◽  
Gdp Per Capita ◽  
Ho Chi Minh City ◽  
Growth Path ◽  
Key Factors ◽  
Factors Affecting ◽  
Per Capita

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.

scholarly journals Does access to finance improve household welfare?

2016 ◽  
Vol 13 (2) ◽  
pp. 76-86 ◽  
Author(s):  
Hao Manh Quach
Keyword(s):  
Household Head ◽  
Policy Implications ◽  
Economic Welfare ◽  
Key Factors ◽  
Access To Credit ◽  
Capita Expenditure ◽  
Food Expenditure ◽  
Capita Food ◽  
Per Capita ◽  
Positive Effect

In this paper, the author develops an econometric framework to analyze the effect of access to credit on the economic welfare of households in Vietnam. The findings confirm that household credit contributes positively and significantly to the economic welfare of households in terms of per capita expenditure, per capita food expenditure and per capita non-food expenditure. The positive effect of credit on household economic welfare is observed regardless of whether they are poor or better-off households. The author also finds that credit has a greater positive effect on the economic welfare of poorer households and finds that the age of the household head, the household size, land ownership, and savings and the availability of credit at village level are key factors that affect household borrowing. Some policy implications are drawn

scholarly journals Determinants of the development of the Mazowieckie Province in 2007-2016

2018 ◽  
Vol 4 (2) ◽  
pp. 65-74
Author(s):  
Łukasz Grzęda
Keyword(s):  
Population Growth ◽  
College Graduates ◽  
National Average ◽  
Gdp Per Capita ◽  
Demographic Situation ◽  
Factors Influencing ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Per Capita ◽  
Positive Population

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.

Zagreb city boss’s death will upend Croatian politics

2021 ◽  
Keyword(s):  
National Average ◽  
Gdp Per Capita ◽  
Municipal Elections ◽  
Content Type ◽  
Per Capita ◽  
Ruling Party

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.

scholarly journals Symmetric and Asymmetric Impact of Poverty, Income Inequality, and Population on Carbon Emission in Pakistan: New Evidence From ARDL and NARDL Co-Integration

2021 ◽  
Vol 9 ◽  
Author(s):  
Salim Khan ◽  
Wang Yahong
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Environmental Degradation ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Policy Implications ◽  
Gdp Per Capita ◽  
Long Run ◽  
Asymmetric Impact ◽  
Per Capita

Several researchers have studied the relationship between poverty and environmental degradation, as these concerns are remained at top priority in achieving Sustainable Development Goals (SDGs). However, the symmetric and asymmetric impact of poverty and income inequality along with population and economic growth on carbon emissions (CO2e) has not been studied in the case of Pakistan. For this purpose, the short and long-run impact of poverty, income inequality, population, and GDP per capita on CO2e investigated by applying the Autoregressive Distributive Lag (ARDL) along with Non-linear Autoregressive Distributive Lag (NARDL) co-integration approach in the context of Pakistan for period 1971–2015. The symmetric results of the current study show poverty and population density along with GDP per capita increase carbon emissions in both the short and long-run, while income inequality has no impact on carbon emissions in the short-run. While in the long-run the symmetric results show that income inequality weakens environmental degradation in terms of carbon emissions. The analysis of NARDL also supports the results obtained from ARDL and suggests a positive effect of poverty, population, and economic growth on carbon emission in Pakistan. The empirical findings of the current study provide policy implications in light of the United Nation's SDGs for the development of Pakistan.

scholarly journals Analisis Pengembangan Ekspor Cengkeh Indonesia

2018 ◽  
Vol 7 (1) ◽  
pp. 21-42
Author(s):  
Ely Nurhayati ◽  
Sri Hartoyo ◽  
Sri Mulatsih
Keyword(s):  
Gravity Model ◽  
Positive Impact ◽  
Export Performance ◽  
Export Price ◽  
Jel Classification ◽  
Gdp Per Capita ◽  
Factors Affecting ◽  
Economic Distance ◽  
Capita Export ◽  
Per Capita

Exports are an important component of the economy. The higher export performance, the greater positive impact on the economy. From 2012 to 2016, Indonesia's exports continue to decline, so Indonesia needs to boost its exports again. One of the potential commodities developed is cloves. This study analyzes the development of Indonesian clove exports by finding out the competitiveness of cloves, as well as factors affecting its exports. The methods used are RCA, EPD, X-Model, and Gravity. The results of the analysis found that an optimistic market developed is Pakistan, Germany, Italy and United State of America. Potential markets to be developed are Malaysia, Vietnam, Thailand, France and Netherlands markets. Factors affecting Indonesian clove exports are GDP per capita, export price, economic distance and tariff. Keywords: Clove, EPD, Export, Gravity Model, RCA JEL Classification: C23, F10, F13

scholarly journals Have IT improvements had positive impacts on international trade?

2021 ◽  
Vol 4 (4) ◽  
pp. 1-9
Author(s):  
Kurihara Y ◽  
Keyword(s):  
International Trade ◽  
Financial Services ◽  
Gdp Per Capita ◽  
The Internet ◽  
Key Factors ◽  
Daily Lives ◽  
Business World ◽  
Developed Economies ◽  
Per Capita ◽  
The Relationship

IT (Information Technology) was invented and penetrated into our daily lives and business world from the 1980s. It has also spread quickly in developed economies. This study examines whether such phenomenon has impacted international trade. More concretely, this study empirically examines the relationship (1) between the improvement of banking and financial services and international trade, (2) between the Internet speed and international trade, and (3) mobile subscribers and international trade. The empirical results show that GDP per capita is positively related with international trade significantly. Moreover, they show that banking and financial services can increase international trade. Also, Internet speed is significantly associated with promoting international trade. However, there is no evidence that the spreading use of mobile has caused increasing international trade. If the pros of the spreading use of mobile related IT are large, there is some room for promoting this transition. Security, reliability, and so on are key factors to promote mobile into business, including international trade.

scholarly journals Does the post-socialist past determine the relationship between GDP per capita and education? Evidence from Europe

2018 ◽  
Vol 68 (4) ◽  
pp. 573-589
Author(s):  
Zsuzsanna Banász ◽  
Vivien Valéria Csányi
Keyword(s):  
Economic Growth ◽  
Tertiary Education ◽  
Well Being ◽  
Gdp Per Capita ◽  
Key Factors ◽  
Huge Amount ◽  
Enrolment Rate ◽  
Level Of Education ◽  
Per Capita ◽  
The Relationship

Education is one of the key factors of economic growth. Despite the huge amount of researches investigating the relationship between education and GDP as a proxy of well-being, to the best of our knowledge, none of these studies examined a group of post-socialist countries comparing with not-post-socialist countries. This paper aims to fill this gap. We examine the correlation between growth and education with panel data evidence for 18 post-socialist (PS) countries and 16 developed market economies (DME) over the 1990–2014 period. The goal of this paper is to test two hypotheses: (i) The relationship between GDP per capita and tertiary education’s enrolment rate is stronger in the post-socialist countries than in other countries. (ii) In the post-socialist countries, the relationship between GDP per capita and tertiary education’s enrolment rate is stronger than the relationship between GDP per capita and any other level of education. Correlation analyses confirmed both hypotheses. Our findings suggest that the patterns of relationship between GDP and measures of tertiary education are different for PS and DME countries and would be interesting to observe when and how the gap between the patterns disappears.

On the Historical Association between NationalIQ and GDP per Capita

2021 ◽  
Author(s):  
Nassim Dehouche
Keyword(s):  
Genetic Factor ◽  
Ad Hoc ◽  
Historical Data ◽  
World Order ◽  
National Average ◽  
Gdp Per Capita ◽  
The World ◽  
Per Capita ◽  
Wealth Of Nations ◽  
Domestic Products

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.

scholarly journals An Analysis of Domestic Tourism Consumption Based on R Software

2018 ◽  
Vol 228 ◽  
pp. 05006
Author(s):  
Hongyu Ding
Keyword(s):  
Gdp Per Capita ◽  
Capita Consumption ◽  
Linear Regression Models ◽  
Factors Affecting ◽  
Consumption Data ◽  
Travel Agencies ◽  
Dependent Variables ◽  
Domestic Tourism ◽  
Per Capita ◽  
Per Capita Consumption

R is a software system which can be used for data processing, calculation and mapping. The syntax of this language is superficially similar to C, but semantically it is functional programming language. It is widely used in statistical analysis. So this paper used it to analyze China domestic tourism consumption data during 1999-2015, and analyzed the main factors affecting the consumption level of domestic tourism in China from residents’ disposable income, GDP, per capita consumption of tourists, tourists, the mileage of railways and the number of travel agencies. Finally it established and solved the multiple linear regression models, taking domestic tourism consumption as dependent variable and taking GDP, and per capita consumption of tourists, the number of tourists and the mileage of railways as dependent variables. The results show that there is significant positive correlation between domestic tourism consumption, GDP, per capita consumption of tourists, the number of tourists and the number of travel agencies.

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