scholarly journals Analysis of Intra-Industry Trade in Cosmetic Commodities between Indonesia and Nine Trading Partners in The Asian Region in 2004-2018 Period

2020 ◽  
Vol 5 (2) ◽  
pp. 44
Author(s):  
Tuhfah Ikbar Ramadhan ◽  
Firmansyah Firmansyah
Keyword(s):  
Panel Data ◽  
Capita Income ◽  
Per Capita Income ◽  
Income Difference ◽  
Country Size ◽  
Independent Variables ◽  
Industry Trade ◽  
Trading Partners ◽  
Per Capita ◽  
The Difference

<p align="justify">This research aims to analyze the level of intra-industry trade and the effect of average country size, average per capita income, difference in per capita income, distance, and average tariff on intra-industry trade of cosmetic commodities between Indonesia and nine trading partners (Singapore, Malaysia, Thailand, Philippines, India, China, Hong Kong, Japan, and South Korea) from 2004-2018. This study uses a Grubel-Llyod Index to determine the level of intra-industry trade and static panel data method to see the effect of independent variables on the level of intra-industry trade. The result shows that the level of intra-industry trade of cosmetic commodities between Indonesia and its trading partners (except India) still tended to be low. The average country size, average per capita income, and average tariff have a positive and significant effect on the level of intra-industry trade. Meanwhile, the difference in per capita income and distance have a negative and significant effect.</p>

scholarly journals Trade and Income Convergence in Selected South Asian Countries and Their Trading Partners

2009 ◽  
Vol 14 (2) ◽  
pp. 49-70 ◽  
Author(s):  
Ahmed Nawaz Hakro ◽  
Bashir Ahmad Fida
Keyword(s):  
Capita Income ◽  
Income Convergence ◽  
Asian Countries ◽  
Per Capita Income ◽  
Difference In Differences ◽  
Income Differential ◽  
Trading Partners ◽  
Per Capita ◽  
The Difference ◽  
Source Countries

This paper analyzes trade among and the convergence of per capita income for India, Pakistan, Bangladesh, and Sri Lanka. The extent of trade and its relationship with the magnitude of income convergence is studied among these countries and their trading partners. We use intra-trade convergence and the difference-in-differences approach for the estimations. The results demonstrate that an increase in trade between the groups decreases the per capita income differential. Our results suggest that trade liberalization policies could be effective in achieving convergence. More importantly, we find that the per capita income of our source countries converged more rapidly under post-liberalization regimes than pre-liberalization regimes.

scholarly journals Analysis of Factors Affecting Economic Growth in Bangka Belitung Province, Indonesia with LSDV And FGLS Methods

2018 ◽  
Vol 2 (1) ◽  
pp. 24
Author(s):  
Darman Saputra
Keyword(s):  
Panel Data ◽  
Local Governments ◽  
Capita Income ◽  
Oil And Gas ◽  
Random Effect ◽  
Least Square ◽  
Per Capita Income ◽  
Processing Industry ◽  
Factors Affecting ◽  
Per Capita

The Least Square Dummy Variable (LSDV) method can be used to estimate parameters in the panel data regression model incomplete one-way fixed effect. To produce the best model with GDP data of GRASB. Variables that do not occur heteroscedasticity and models that meet the smallest sum square of error is the variable Mining and Processing Industry, this variable affects the per capita income. The Feasible Generalized Least Square (FGLS) method can be used to estimate the regression parameters for incomplete panel data for a one-way random effect. In this model produce the best model with non-oil and gas GRDP data. The variables that fulfill it are the processing Industry, service, and agriculture of Forestry and Fishery.  Therefore looking at the above model can be concluded non-oil and Gas GRDP has three factors that affect per capita income in Bangka Belitung. This should be a reference of local governments to further improve the quality or production in agriculture and services because this potential is more promising for the future. Software used to analyze data in this paper is with R.

scholarly journals UKURAN PASAR UKURAN PASAR (Market Size) DAN INVESTASI ASING LANGSUNG DI ASEAN

2016 ◽  
Vol 1 (1) ◽  
pp. 26
Author(s):  
Adi Lumadya
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Foreign Investment ◽  
Capita Income ◽  
Random Effect ◽  
Direct Foreign Investment ◽  
Market Size ◽  
Per Capita Income ◽  
Variable Size ◽  
Per Capita

The main objective of this study was to examine the influence of some economic variables that include market size proxied with income per capita, economic growth, and exports to the Foreign Direct Investment in the member countries of ASEAN-9. The analytical tool used is the Least Squares Regression (Ordinary Least Square) and Panel Data. In the Data Panel will look for similarities in effect is Fixed (Fixed Effect) and the effect is Random (Random Effect). The results of the analysis are: Based on the analysis of OLS concluded that the variable size of the market (market size) were proxied with Per Capita Income (GDPP), Economic Growth (EG), and exports (EG) significantly affects the Direct Foreign Investment. Based on the analysis of Panel Data with Fixed Effect Method concluded that the variable size of the market (market size) were represented with per capita income (GDP), Economic Growth (EG), and exports (EG) significantly affects the Direct Foreign Investment. Based on the analysis of Panel Data with Random Effect method concluded that the variable size of the market (market size) were proxied with per capita income (GDP), Economic Growth (EG), and exports (EG) significantly affects the Direct Foreign Investment. Keywords: Foreign Direct Investment, Fixed Effect, Random Effect

scholarly journals Analisis pengaruh pendapatan perkapita dan belanja modal terhadap tingkat kemiskinan di Pulau Sumatera

2019 ◽  
Vol 8 (3) ◽  
pp. 135-148
Author(s):  
Wenny Tri Septiani ◽  
Zamzami Zamzami ◽  
Candra Mustika
Keyword(s):  
Panel Data ◽  
Capita Income ◽  
Capital Expenditure ◽  
Analysis Tool ◽  
Per Capita Income ◽  
Poverty Level ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita ◽  
Poverty Levels

This study aims to: 1) To analyze and determine the development of per capita income, capital expenditure, and poverty levels on the island of Sumatra. 2) To analyze and determine the effect of per capita income and capital expenditure on poverty levels in Sumatra Island. The research analysis tool used panel data regression analysis tools. Based on the results of panel data regression, it can be concluded that per capita income and capital expenditure on the poverty level together have a significant effect. Whereas partially only the per capita income variable had a significant and negative effect on the poverty level, while capital expenditure had no significant and positive effect on the poverty level. Keywords: Poverty rate, Per capita income, Capital expenditures

scholarly journals An Analysis Of The Determinants Of Intra-Industry Trade: The Case Of Spanish Foreign Trade

2011 ◽  
Vol 4 (3) ◽  
Author(s):  
Joaquín Turmo ◽  
Hugo M. Hervitz ◽  
Carlos Moslares
Keyword(s):  
Foreign Trade ◽  
Capita Income ◽  
Theoretical Models ◽  
Econometric Analysis ◽  
Per Capita Income ◽  
Industry Trade ◽  
Eu Membership ◽  
Alternative Hypotheses ◽  
Per Capita

This paper analyzes the patterns of intra-industry trade observed in Spanish foreign trade and assesses the merits of alternative hypotheses in explaining the determinants of such trade. The results of the econometric analysis support the predictions of the theoretical models. These results show that Spanish intra-industry trade is positively correlated with per capita income, the size of the economies, the existence of a common border and EU membership, while it is negatively correlated with distance and differences in per capita income.

An Old Boys Club No More

2015 ◽  
Vol 18 (5) ◽  
pp. 506-536 ◽  
Author(s):  
Marcus Noland ◽  
Kevin Stahler
Keyword(s):  
Capita Income ◽  
Capital Investments ◽  
Per Capita Income ◽  
Country Size ◽  
Socioeconomic Variables ◽  
Per Capita ◽  
Over Time

This article examines the growing diversity of participation and achievement in the Olympics. A wide set of socioeconomic variables are correlated with medaling, particularly with respect to the Summer Games and women’s events. Host advantage is particularly acute in judged contests such as gymnastics. However, there is evidence that the influence of correlates, such as country size, per capita income, and membership in the communist bloc is declining over time as competition becomes increasingly diverse. These effects are less evident in the Winter Games, events in which significant capital investments are required, and judged contests.

Intra-Industry, Intra-Product, and Inter-Product Trade

2017 ◽  
Vol 17 (3) ◽  
pp. 20170024
Author(s):  
Michael Michaely ◽  
David Wajnryt
Keyword(s):  
Empirical Analysis ◽  
Capita Income ◽  
Manufacturing Sector ◽  
Trade Flows ◽  
Geographical Region ◽  
Per Capita Income ◽  
Half Century ◽  
Industry Trade ◽  
Per Capita ◽  
The Empirical Analysis

The study starts with clarifying the distinction between intra-product and inter-product trade as origins of intra-industry trade. The empirical analysis shows that over the last half century intra-industry trade has strongly intensified, though this trend became less pronounced during the last two decades. Intra-industry trade characterizes the trade flows of Europe distinctly more than of any other major geographical region. It is clearly related to a country’s level of per-capita income; to its size, as measured by aggregate income; to the share of the manufacturing sector in the country’s trade; and, most strongly, to the level of commodity diversification of a country’s trade.

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