United States’ Intra-Industry Trade

Leitão, Nuno Carlos

doi:10.1080/1331677x.2011.11517456

Cited by 4 publications

(4 citation statements)

References 31 publications

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“…It is the logarithm of lowest value of GDP per capita (PPP, in current international dollars) between Portugal and trading partner. Helpman (1987), Hummels and Levinsohn (1995), Egger et al (2007), and Leitão (2011a) found a positive sign, as is theoretically expected.…”

Section: Intra-industry Trade In the Medical And Optical Instruments supporting

confidence: 59%

Intra-Industry Trade in the Medical and Optical Instruments Industry: A Panel Data Analysis

Leitão¹,

Faustino²

2013

Economic Research-Ekonomska Istraživanja

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This paper analyses the determinants of intraindustry trade (IIT) in the Portuguese medical and optical sector using a static and dynamic panel data analysis. The results suggest that IIT in medical and optical instruments occurs more frequently among countries that are similar in terms of relative factor endowments and are members of the same regional integration agreement. Moreover, this trade increases if the partners are geographically close. ARTICLE INFO

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Section: Intra-industry Trade In the Medical And Optical Instruments supporting

confidence: 59%

Intra-Industry Trade in the Medical and Optical Instruments Industry: A Panel Data Analysis

Leitão¹,

Faustino²

2013

Economic Research-Ekonomska Istraživanja

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“…This is because of the greater inequality in the demand structure among the countries. Sawyer, Sprinkle, and Tochkov (2010) and Leitão and Shahbaz (2012) found a negative sign. However, Turkcan and Ates (2010) and Yuan (2012) found a positive sign.…”

Section: Differences In Per Capita Gdpmentioning

confidence: 99%

Intra-Industry Trade in Machinery and Transport Equipment: Malaysia and its Trading Partners

Ma’in¹,

Kamaruzaman²,

Nathan³

2016

European Proceedings of Social &Amp; Behavioural Sciences

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Intra-industry trade (IIT) has become prominent across Asia including Malaysia due to the greater influence of globalization in international trade and rapid economic growth. The growth of IIT occurred because of its characteristics which could result in gains from trade through better exploitation of economies of scale and product differentiation as well as enhance innovation. Since IIT is important in increasing the growth of an economy through trade earnings trade, therefore there is a need to study the determinants of IIT in Malaysia. This study is focused on the manufacturing sector especially the machinery and transport equipment (SITC 7) from 1994 to 2014. IIT is calculated by using the Grubel Lloyd (GL) index. Panel data is utilized in performing panel cointegration and panel Granger causality tests. The Hausman specification test shows that the fixed effect least square dummy variable (LSDV) model is better than the random effects model. These tests were used to determine the relationship between the levels of IIT and its determinants namely differences in per capita GDP, foreign direct investment, geographical distance and technological advancement. The results show that the variables are cointegrated in the long run, in addition to the existence of short run relationships between intra-industry trade with differences in per capita GDP and foreign direct investment.

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“…The inequality of per capita income is negatively linked to the IIT, but not statistically significant, and all regressions show a positive relationship with the IIT except for the vertical IIT, which is calculated at a price threshold of 25% for the variable for foreign direct investment. In the empirical study of Leitão and Shahbaz (2012) contains between the United Kingdom and 17 selected countries. The variables; difference between GDP, per capita income dissimilarity, trade imbalance, and geographic distance have a reverse effect on the IIT, while the variables average GDP and foreign direct investment have a same-way effect on the IIT.…”

Section: Literaturementioning

confidence: 99%

Türkiye Otomotiv Sektöründe Endüstri İçi Ticareti Etkileyen Faktörler Üzerine Ekonometrik Bir Analiz

Doru

ÖZER²

2022

Akademik Araştırmalar Ve Çalışmalar Dergisi (AKAD)

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Purpose: It is to empirically examine the factors affecting intra-industry trade in the automotive sector between Turkey and 24 OECD member trade partners. Design/Methodology: The determinants of intra-industry trade were tested with panel data analysis in the automotive sector. As a result of the test carried out to determine the model, regression analysis was performed with the Driscoll-Kraay standard error estimation method. Findings: The variables market size, development level, and trade openness have a positive impact on intra-industrial trade, while the variables market size difference, income inequality, and geographical distance have a reverse impact on intra-industry trade. Limitations: Export and import data for 2003–2019 are used in international trade figures in the 3-digit Standard International Trade Classification, SITC Revision-3. Originality/Value: Empirical application on the factors affecting intra-industry trade in the Turkish automotive sector is considered to be important and different in terms of subject.

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United States’ Intra-Industry Trade

Abstract: ABSTRACT

Cited by 4 publications

References 31 publications

Intra-Industry Trade in the Medical and Optical Instruments Industry: A Panel Data Analysis

Intra-Industry Trade in the Medical and Optical Instruments Industry: A Panel Data Analysis

Intra-Industry Trade in Machinery and Transport Equipment: Malaysia and its Trading Partners

Türkiye Otomotiv Sektöründe Endüstri İçi Ticareti Etkileyen Faktörler Üzerine Ekonometrik Bir Analiz

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