The Trade Competitiveness of Southern Emerging Economies: A Multidimensional Approach Through Cluster Analysis

Montalbano, Pierluigi; Nenci, Silvia

doi:10.1111/twec.12195

Cited by 11 publications

(6 citation statements)

References 98 publications

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“…Disdier and Van Tongeren (2010) applied cluster analysis to find out the correlation between the occurrence and coverage of NTMs and the incidence of trade frictions for agri-food products. Montalbano and Nenci (2014) used a multidimensional approach through cluster analysis to study the trade competitiveness of emerging economies (China, India, Brazil, and South Africa) with respect to their global partners. Pioch (2017) considered further the prospects for trade policy convergence of BRICS States.…”

Section: Methodology Of Cluster Analysismentioning

confidence: 99%

MERCOSUR in trade policy clusters: challenges and prospects

Koval¹,

ANDRIANOVA²

2022

Brazil. J. Polit. Econ.

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The sharp increase in the number of FTAs puts customs unions in an ambiguous situation questioning their effectiveness. In this view, MERCOSUR could attract special attention as it seems to support the intention to revive integration within the block after a long period of stagnation. This paper identifies asymmetries and similarities in the member states’ trade policy and presents a new perspective on the regional integration by means of cluster analysis. The results of the study provide the answer to the question of whether MERCOSUR countries have common trade patterns and can act as a single block in the international trade.

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Section: Methodology Of Cluster Analysismentioning

confidence: 99%

MERCOSUR in trade policy clusters: challenges and prospects

Koval¹,

ANDRIANOVA²

2022

Brazil. J. Polit. Econ.

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“…To determine the optimal number of groups, we used a dendrogram to display dissimilarity levels between clusters. The heights of the links represent the distance, at which each fusion was made, such that a greater dissimilarity between the objects indicated a greater distance between them and a taller link (Montalbano and Nenci, 2014). The optimal number of groups was derived by comparing the coefficients in the agglomeration schedule, Fig.…”

Section: Methodsmentioning

confidence: 99%

Examining the Link between the Governance Mechanisms and Supply Chain Performance — an Empirical Study within the Triadic Context

Świerczek

2019

Engineering Management in Production and Services

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The goal of the research is twofold. First, it aims to reveal the basic modes of governance run by the manufacturer across the examined triadic supply chains. Secondly, the paper compares the groups of triadic supply chains, applying certain modes of governance, including network governance, in terms of the relational benefits and supply chain performance. To investigate the relationship between network governance and the supply chain performance, the Principal Component Analysis (PCA) with Varimax Rotation was used, followed by the cluster analysis and non-parametric tests. The study showed that the triadic supply chains significantly differentiate in terms of the modes of governance. Further findings also indicated that the triadic supply chains that follow the network governance mode consider their performance to be significantly higher in comparison to the supply chains that do not run this type of governance mechanism. Firstly, the research showed that it is difficult to unequivocally reveal the pure mechanisms of governance, undistorted by the influence of another distinct mode in the triadic supply chains. On the contrary, they are more or less influenced by other modes of governance distinguished in the literature. Likewise, it is also important to highlight that the mechanism of governance is inseparably bound with a certain dyadic relationship established between two actors in the wider structure of supply chains. The study also showed that incorporating a clan as a social mechanism of governance together with a market and hierarchy results in increasing the relational benefits and overall performance for both dyads in the triadic supply chains.

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“…This situation creates a high potential for trade with each other (Venables ). It is a commonly held view that countries with similar trade patterns are likely to be seen as competitors, having less chance to trade with each other (Kaplinsky and Messner ; Montalbano and Nenci ). The conventional theoretical studies often use two‐country, two‐factor, two‐industry models (2×2×2) to illustrate the insights of the model.…”

Section: Theory and Hypothesismentioning

confidence: 99%

What Determines Trade Between China and India During the Recession of 2008–2012?

Zhang

Gorp

Ebbers

2018

Contemporary Economic Policy

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Despite the international status of China and India rising dramatically in the previous decades, trade between the two countries did not grow accordingly. This paper investigates the determinants of the bilateral trade performance during the period of 2008–2012 from two perspectives: comparative advantage and trade protection. Two cases, Chinese exports to India, and Indian exports to China, are analyzed by using product‐level data. The results suggest that (1) the law of comparative advantage and trade protection explain the pattern of China–India trade, while (2) in a time of crisis, the adverse forces become prominent which explains the declining trend of the bilateral trade. (JEL F13, F14)

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The Trade Competitiveness of Southern Emerging Economies: A Multidimensional Approach Through Cluster Analysis

Cited by 11 publications

References 98 publications

MERCOSUR in trade policy clusters: challenges and prospects

MERCOSUR in trade policy clusters: challenges and prospects

Examining the Link between the Governance Mechanisms and Supply Chain Performance — an Empirical Study within the Triadic Context

What Determines Trade Between China and India During the Recession of 2008–2012?

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