Determinants of Trade: The Case of Mexico

Ekanayake, E. M.

doi:10.1080/088539001300005468

Cited by 26 publications

(24 citation statements)

References 9 publications

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“…This study concludes that IIT is positively correlated with economic dimension (average of GDP per capita), trade intensity (openness trade), and border. Ekanayake (2001) also shows that IIT is negatively correlated with relative factor endowments and geographical distance. Mardas and Nikas (2008) (1994) to calculate the components of IIT, i.e HIIT (horizontal intra-industry trade) and VIIT (vertical intraindustry trade).…”

Section: Literature Review and Empirical Studiesmentioning

confidence: 99%

United States’ Intra-Industry Trade

Leitão¹

2011

Economic Research-Ekonomska Istraživanja

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Section: Literature Review and Empirical Studiesmentioning

confidence: 99%

United States’ Intra-Industry Trade

Leitão¹

2011

Economic Research-Ekonomska Istraživanja

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“…The existence of a negative relationship between the geographical distance and the intensity of intra-industry trade is confirmed by empirical studies (see, for instance, Cieślik, 2000;Botrić, 2013). As shown by empirical research, the cultural community of trading countries, in particular, a common or similar language, national identity, tradition and history, facilitate the development of intra-industry trade (Ekanayake, 2001;Mulenga, 2012). This is mainly due to easier communication, lower transaction costs and similarity in the structure of demand.…”

Section: Country-specific Determinants Of Intra-industry Tradementioning

confidence: 98%

Determinants of Intra-Industry Trade in Agricultural and Food Products Between Poland and EU Countries

Łapińska

2014

Danube

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The present study investigates the country-specific determinants of intra-industry trade between Poland and its European Union trading partners in agricultural and food products during the time period 2002-2011. An econometric model for panel data is applied for the analysis of the factors determining Polish bilateral intra-industry trade with European Union countries. The research leads to the formulation of a statement that the intensity of intra-industry trade in agricultural and food products is positively influenced by the intensity of trade with EU countries and the level of economic development of the member countries (as measured by the size of their GDP per capita). Increase in intra-trade turnover is also facilitated by EU membership and by the fact that Poland's trade partners use similar Slavic-based languages. Relative differences in the size of the economies and relative differences in Poland's and its trading partners' levels of economic development have a negative impact. The degree of the imbalance of trade turnover between trading partners also negatively influences the intensity of intra-trade exchange. The research confirms that the impact of all of the identified factors determining intra-industry trade is consistent with the predictions of the theory.

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“…Additionally, in a study done by Ekanayake (2001), it was found that Mexican two-way trade was negatively associated with: income differences, differences in country size, distance, and trade imbalance. On the other hand, China's intra-industry trade has been shown to vary greatly across industries and trading partners.…”

Section: Characteristics Of Mexico's Intra-industry Trade With Chinamentioning

confidence: 99%

“…According to Ekanayake (2001), "Intra-industry trade describes trade in similar, but slightly differentiated products based on imperfect competition, or trade in close substitutes demanded by consumers in different countries who may have distinct tastes or preferences" [1]. In the case of Mexico in particular, intra-industry trade has increased rapidly over the years and as a result has become ever more important.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Horizontal and Vertical Intra-Industry Trade: The Case of Mexico and China

Dominguez¹

2018

dtem

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Abstract. The purpose of this study is to measure and analyze the extent of vertical and horizontal intra-industry trade between Mexico and China in seven sectors over a five-year period, from 2012 to 2016, using disaggregated trade data at the SITC three digit level; and to identify in what sectors IIT is mainly concentrated. Lastly, this paper aims to disentangle trade into: inter-industry trade, horizontal intra-industry trade, low quality vertical ITT (low ITTV) and high quality vertical ITT (high-ITTV). One of the main findings is that there is relatively low bilateral intra-industry trade between Mexico and China. Furthermore, the results showed that it was high-ITTV that prevailed over low-ITTV. In this type of trade, China is mainly exporting low quality goods to Mexico.

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Determinants of Trade: The Case of Mexico

Cited by 26 publications

References 9 publications

United States’ Intra-Industry Trade

United States’ Intra-Industry Trade

Determinants of Intra-Industry Trade in Agricultural and Food Products Between Poland and EU Countries

Analysis of Horizontal and Vertical Intra-Industry Trade: The Case of Mexico and China

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