Czech Comparative Advantage in Agricultural Trade with Regard to EU-27: Main Developmental Trends and Peculiarities

Abstract

The paper, based on RCA, LFI and GL indices, and logistic regression analysis, allowed us to track the dynamics of the comparative advantage/disadvantage of the Czech Republic in individual commodity aggregates in relation to individual EU partners, and to comprehend the role of the main production factors. The only production factor with a statistically significant effect is capital. Trade with countries richly endowed with agricultural land and capital, in most cases, appeared not favorable for the Czech Republic in terms of having a comparative advantage over them, if measured with LFI index. The values of the GL index disclosed that trade with these countries is mostly of an inter-industry character. The analysis revealed the following top-3 mostly competitive Czech aggregates: S3-08 (animal feed stuff), S3-06 (sugar and sugar preparations), along with S3-04 (cereals and cereal preparations). Some aggregates appeared to not have any comparative advantage: S3-01 (meat, meat preparations), S3-05 (vegetables and fruits), and S3-41 (animal oils and fats). Speaking of developmental trends, from 2000 to 2019 the Czech Republic has managed to improve its position in agri-food trade within the EU-27 by 43.81% if measured with LFI, and by 51.63% if measured with RCA. These positive changes also appeared to be statistically significant.

The Competitive Position of Poland in Bio-Based Products Trade on the European Union Market

“…Looking for comparative advantages, most researchers refer to a specific country or region as other EU member states or the so-called EU average. Studies on the competitiveness of agri-food trade in countries including Romania (Andrei et al, 2020), France (Cheptea & huchet, 2018), the Czech Republic (Rumankova et al, 2022;Kuzmenko et al, 2022) (Jambor & hubbard, 2013). Also, studies on the competitiveness of selected groups of countries, for example, Central and Eastern Europe (Bojnec & Ferto, 2009;Bielik & Qineti, 2009), the Balkan Region (Matkovski et al, 2019; or the Danube Region (Ignjatijević et al, 2015) saw the increasing potential and competitive strength of Poland but more in a regional context -as a member of CEFTA (Central European Free Trade Agreement) and V4 (Visegrad Group).…”

“…The above groups of products were classified as components of bioeconomy in the Report of the Joint Research Centre of the European Commission (M'barek et al, 2018). The research conducted so far has covered either only agricultural products with or without forestry, hunting and aquaculture products; or only food products; or collectively agri-food products (Chevassus-Lozza et al, 2008;Bielik & Qineti, 2009;Bojnec & Ferto, 2009;Jambor & hubbard, 2013;Pawlak, 2013;Bojnec & Ferto, 2014a;2014b;Carraresi & Banterle, 2015;Ignjatijević et al, 2015;Baráthová & Qineti, 2018;Cheptea & Huchet, 2018;Budzyńska & Nowak, 2019;Łukiewska, 2019;Matkovski et al, 2019;Szczepaniak, 2019;Andrei et al, 2020;Kowalska et al, 2021;Kuzmenko et al, 2022;Matkovski et al, 2022;Rumankova et al, 2022). however, there is a research gap when it comes to the analysis of individual groups of bioproducts according to the definition of "bioeconomy" adopted by the European Commission, which prompted the authors to undertake research in this area.…”

Competitiveness and Flow of Indonesian Paper Trade in The Global Market

“…The RCA index is an important metric for evaluating a country's competitiveness in exporting certain commodities (Liu & Gao, 2022). This method has been widely used by various researchers to measure the level of country's commodity competitiveness such as Erokhin et al (2020), Kuzmenko et al (2022), Matkovski et al (2022), Mizik et al (2020), Vu et al (2019), Wardani et al (2018), and Yemima & Novianti (2020). RCA calculates competitiveness by comparing the share of exports of a commodity in the country's total exports with the share of the same commodity exports in total world exports (Kim, 2019).…”

“…RCA values range from 0 to ∞. shows that the country has competitiveness over a commodity and inversely, shows that the country does not have competitiveness over a commodity (Kim, 2019;Kuzmenko et al, 2022).…”

The Influence of Country Risks on the International Agricultural Trade Patterns Based on Network Analysis and Panel Data Method

“…For example, some researchers proved that, after China joined the WTO and South Korea implemented the FTA, their agricultural trade volume increased significantly [12,13]. On the other hand, some scholars identified the factors that affect a country's agricultural trade [14,15], such as GDP [16] agricultural policy [17,18], and agricultural factor endowment [19,20].…”