Export competitiveness of the European Union in fruit and vegetable products in the global markets

Bojnec, Štefan; Fertő, Imre

doi:10.17221/156/2015-agricecon

Cited by 22 publications

(9 citation statements)

References 26 publications

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“…For example, cosine similarity predicts that Poland is very similar to Germany in terms of RCA values and that Germany is very similar to Poland symmetrically (still in terms of RCA values). However, the literature suggests that cosine similarity may not be the most appropriate measure because Germany and Poland differ in several aspects of their export capabilities (Adigwe, 2022; Bojnec & Ferto, 2016; Kuźnar, 2016).…”

Section: Resultsmentioning

confidence: 99%

Matrix completion of world trade: An analysis of interpretability through Shapley values

2023

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Economic complexity and machine learning have recently become popular approaches for analysing international trade. However, for effective use of machine learning in relation to economic complexity and policymaking, it is important to understand what are the key features for predictions. In this framework, this article addresses the issue of the interpretability of results obtained with a machine learning technique—namely, matrix completion—when applied to economic complexity, specifically in predicting revealed comparative advantages (RCAs) of countries in different product categories. Shapley values are used to measure the role each country plays in predicting the RCAs of other countries. Countries relevant for prediction may differ from countries whose RCA values are similar to those of the country of interest when a standard similarity measure such as cosine similarity is used. We demonstrate the usefulness of our approach to identifying comparable countries by focussing our analysis on export diversification into complex goods of selected European countries.

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Section: Resultsmentioning

confidence: 99%

Matrix completion of world trade: An analysis of interpretability through Shapley values

2023

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“…When the value of the RCA is greater than 3, the comparative advantages are strong, the values of the index of RCA between 2 and 3 indicate significant, while the values of RCA between 1 and 2 imply satisfactory comparative advantages. The traditional RCA index is widely used in the literature for the analysis of comparative advantages [for example [ 4 , 16 , 26 , 27 , 28 ]].…”

Section: Methodsmentioning

confidence: 99%

Export Competitiveness of Agri-Food Sector during the EU Integration Process: Evidence from the Western Balkans

Matkovski

Zekić

Đokić

et al. 2021

Foods

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Trade agreements with the European Union (EU) and Central European Free Trade Agreement (CEFTA) significantly influenced the liberalisation of agri-food products in Western Balkan (WB) countries. In all Western Balkan countries, there has been an intensification of the trade of agri-food products and a partial change in the regional and commodity structures of trade. This paper aims to identify comparative advantages of agri-food sectors and consider its tendencies during the EU integration process. Additionally, this paper will discuss some opportunities for improvement of the export positions of agri-food products. In that context and based on the literature review, the indexes of revealed comparative advantages and its modified version will be used as a main method for analysis in this research. Results showed that all Western Balkan countries, except Albania, have comparative advantages in exporting agri-food products. It is evident that Serbia has the highest level of comparative advantages in this sector. Moreover, this paper suggests that all countries should aim to provide the best possible positions for their agri-food products during pre-accession negotiations for EU membership and take the necessary steps towards increasing the level of competitiveness in the common EU market.

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“…Higher value of standard deviation means unstable variation from year to year and vice versa. Moreover, following Bojnec and Fertő (2016), a survival function S (t) can also be calculated through employing the thenonparametric Kaplan-Meier product limit estimator. Following Bojnec and Fertő (2016), a sample having n independent observations stand for (ti; ci), where i = 1, 2, ..., n, and ti indicates the survival time.…”

Section: Methodsmentioning

confidence: 99%

“…Moreover, following Bojnec and Fertő (2016), a survival function S (t) can also be calculated through employing the thenonparametric Kaplan-Meier product limit estimator. Following Bojnec and Fertő (2016), a sample having n independent observations stand for (ti; ci), where i = 1, 2, ..., n, and ti indicates the survival time. And ci denotes the censoring indicator variable C (considering the value of 1 if a failure appeared, and 0 otherwise) of observation i.…”

Section: Methodsmentioning

confidence: 99%

Tea export competitiveness and the nexus between tea export and economic growth: The cases of Bangladesh, India and Sri Lanka

Islam¹,

Ema²,

Chakrobortty³

et al. 2021

Stud. Agr. Econ.

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Tea export competitiveness and the nexus between tea export and economic growth: The cases of Bangladesh, India and Sri Lanka Long since the end of the British India regime, Bangladesh, India, and Sri Lanka have produced a signifi cant volume of tea which continues to bring them invaluable foreign currency earnings through exports. Our paper explores the tea export competitiveness of these countries by employing the Revealed Symmetric Comparative Advantage (RSCA) index, and analyses the nexus between tea export and economic growth over the period from 1980 to 2018 using several dynamic econometric approaches. Results suggest that Bangladesh has lost its tea export competitiveness over the last decade. India posted moderate performance, while Sri Lanka consistently kept its dominant position. Further, the Johansen Cointegration test outcomes report no long-run relationship between tea export and economic growth across all the countries. The Granger Causality outcomes illustrate that only in Sri Lanka is it the case that tea export causes short-run economic growth. Lastly, the impulse response function projects tea export and economic growth, taking into consideration the response of each to a shock from the other. Extrapolation from the results indicate that, in contrast to the cases of Bangladesh and India (where no direct relationship was found), tea export and economic growth are intimately interconnected in Sri Lanka. This article further recommends eff ective policies so that economic growth in these countries can remain steady and that their tea industries can thrive.

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Export competitiveness of the European Union in fruit and vegetable products in the global markets

Cited by 22 publications

References 26 publications

Matrix completion of world trade: An analysis of interpretability through Shapley values

Matrix completion of world trade: An analysis of interpretability through Shapley values

Export Competitiveness of Agri-Food Sector during the EU Integration Process: Evidence from the Western Balkans

Tea export competitiveness and the nexus between tea export and economic growth: The cases of Bangladesh, India and Sri Lanka

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