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1

Comparative Advantage of Yarn and Weaving Industries: Evidence for Türkiye and Top Exporters

Kantur Çiğdem, Türkekul Berna

Fibres & Textiles in Eastern Europe

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2023

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Vol. 31, no. 1

15--24

EN

With the repeal of the MFA agreement, the competitive conditions in yarn and weaving industries have changed. Especially, with the cheap labour of Asian and Far Eastern countries, they have become advantageous in this unrestricted competition environment. Therefore, this study was conducted to help to identify those products where Türkiye and her competitors have comparative advantages. This study mainly focuses on analysing the complementarity and substitutability of selected countries such as Türkiye, India, China and the USA. RTA, RC, RSCA and trade specialisation (TSI) indices were used to evaluate the competitive advantage. The results showed that Türkiye’s competitiveness in cotton yarn and cotton weaving has deteriorated. However, India and China, which are the major countries in the world’s cotton production, have a positive impact on their long-term competitiveness. Moreover, for these countries there is convergence in cotton yarn and divergence in cotton fabric products.

2

The relationships between morphological traits in maize (Zea mays L.) by linear and rank correlation coefficients

Szulc Piotr, Cyplik Adrian, Bocianowski Jan, Cichocki Marek, Baldys Weronika

Journal of Research and Applications in Agricultural Engineering

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2019

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Vol. 64, nr 4

31--33

EN

The objective of this study was to assess the relationships between ear length, ear diameter, plant height and ear setting height in maize linear Pearson correlation coefficients and Spearman’s rank correlation coefficients. The plant height and ear setting height were positively linear and rank correlated in all four years of study. The correlation coefficients, both - linear and rank, between all four traits observed in 2018 were statistically significant. Ear diameter and plant height were linear and rank correlated in 2018, however in 2015 only Pearson correlation coefficient was statistically significant between these two traits.

PL

Celem badań było zastosowanie współczynników korelacji liniowej Pearsona i rangowej Spearmana do oceny współzależności pomiędzy długością kolby, średnicą kolby, wysokością roślin i wysokością osadzenia kolb produkcyjnych kukurydzy. Wysokość roślin i wysokość osadzenia kolb produkcyjnych były dodatnio liniowo i rangowo skorelowane we wszystkich czterech latach badań. Oba współczynniki korelacji – liniowe i rangowe, pomiędzy wszystkimi czterema cechami obserwowanymi w 2018 r., były istotne statystycznie. Średnica kolby i wysokość roślin były liniowo i rangowo skorelowane w 2018 r., natomiast w 2015 roku tylko współczynnik korelacji Pearsona był statystycznie istotny pomiędzy tymi dwiema cechami.

3

Relationships between selected traits in maize (Zea mays L.). Part 1. Linear and rank correlations

Bocianowski Jan, Cichocki Marek, Szulc Piotr, Kobus-Cisowska Joanna

Journal of Research and Applications in Agricultural Engineering

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2019

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Vol. 64, nr 3

10--14

EN

The objective of this study was to assess the relationships between grain yield and selected traits in maize linear Pearson correlation coefficients and Spearman’s rank correlation coefficients. The study comprised of 13 maize cultivars, evaluated at two years in a randomized complete block design, with four replicates. The linear and rank correlation coefficients were shown in tables and as figures for easier observation of their tendency and significance.

PL

Celem badań było zastosowanie współczynników korelacji liniowej Pearsona i rangowej Spearmana do oceny współzależności pomiędzy plonem ziarna i wybranych cech kukurydzy. Badanie obejmowało 13 odmian kukurydzy, analizowanych w dwóch latach w doświadczeniach polowych, w układzie bloków losowanych kompletnych, w czterech powtórzeniach. Współczynniki korelacji liniowej i rangowej przedstawiono w tabelach oraz w postaci wykresów umożliwiających łatwe zaobserwowanie ich kierunku i istotności.

4

Grade analysis of data from the European Economic Survey 2005 on Economic Climate in Polish Servicing Sector

Grabowska G., Wiech M.

Control and Cybernetics

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2009

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Vol. 38, no 3

783-810

EN

The anonymous data from 1352 companies concerning the economic climate in Polish servicing sector from the European Economic Survey 2005 was obtained by courtesy of The Polish Chamber of Commerce. The Grade Correspondence Analysis (GCA) with posterior clustering (GCCA) is introduced and applied to this data. The main task of this analysis is to create the first view of data and to reveal their latent structure. This provides an insight into the economic factors and enables making conclusions about business conditions in Poland.