Zur Wettbewerbsfähigkeit der europäischen Holzwirtschaft – eine Constant-Market-Share-Analyse | Competitiveness in the European forest industry sector – a constant market share analysis

2009 ◽  
Vol 160 (12) ◽  
pp. 375-383 ◽  
Author(s):  
Matthias Dieter ◽  
Hermann Englert

The objective of the presented study is to analyse the international competitiveness of the European forest industry sector and that of Switzerland in particular using constant market share (CMS) analysis. The analysis is conducted based on bilateral trade data in monetary terms for the years 2000 to 2005. Timber commodities are grouped into two sectors (the wood sector and the paper sector) as well as into three processing levels (raw wood, semi-finished and finished products). CMS analysis is conducted on two aggregation levels: the forest industry sector on the whole and the forest products sector as part of the semi-finished products sector. The analyses of both aggregation levels show similar results. Most of the traditionally industrialized countries show only low export growth rates. Countries with fast growing economies in general, in particular those from South East Asia and most of the Eastern European countries show high growth rates as well as high positive competitiveness effects. A positive relationship can be identified between a country's timber export growth rate and its competitiveness effect. Within Europe, Eastern European countries are gaining competitive advantage over Middle and Western European countries. CMS analysis indicates low international competitiveness for the Swiss forest industry sector, whereas Austrian and German forestry industry sectors are characterized by higher values of international competitiveness.

2021 ◽  
Author(s):  
Claudia Jesus-Rydin ◽  
Alberto Montanari ◽  
Lisa Wingate ◽  
Anouk Beniest ◽  
Andrea Popp ◽  
...  

<p>The European Geosciences Union (EGU) is the leading organisation for Earth, planetary and space science research in Europe. Each year the EGU holds a General Assembly that is the largest and most prominent European geosciences event, attracting over 16,000 scientists from all over the world. This presentation provides an overview of the geographical representation of participants to the EGU General Assembly in recent years.</p><p>The presentation focuses on a five-year dataset spanning 2015 to 2019 and provides an insight on growth rates of the different countries individually and in comparison to the EGU General Assembly average growth (38% during the period 2015-2019).</p><p>China has the fastest-growing representation at the EGU General Assembly with a growth rate close to 300% in the period 2015-2019. The growth rates of the Republic of Korea and Canada have also climbed, and now represent the second and third fastest-growing countries attending the EGU respectively, with growth rates just over 80%.</p><p>The representation of Central and Eastern European countries (also known as EU-13 countries) at the EGU General Assembly has also grown steadily at a rate comparable with the EGU average, i.e. around 38%. Western European countries are the most represented at the annual general assembly accounting on average for 58% of the total participants over the 2015-2019 period. In addition the participation of Western Europeans to the general assembly continues to grow at the EGU but a slightly slower pace 29% than for Eastern Europe, but at a rate similar to participants from the USA.</p><p>This analysis leads to the conclusion that participation at the EGU General Assembly has grown both in the total number of attendees and in their geographical diversity. The most striking shift in the representation of countries has been towards an increase in the participation of Asian countries (China, Taiwan, Rep. of Korea & Japan) that collectively now exceeds the participation of North American participants (USA + Canada). In particular, if the current rate of growth in participation is sustained by China over the coming years this dataset suggests that their representation will surpass that of the USA shortly. It was also clear that the EU-13 countries continue to participate in the EGU General Assembly in growing numbers and with particular representation in certain scientific divisions such as Soil System Sciences (SSS), Hydrological Sciences (HS) and Climate: Past, Present & Future (CL). Overall, the above data provide valuable guidance in how to shape future EGU actions to promote diversity, equality and inclusivity at the annual EGU meeting.</p>


2014 ◽  
Vol 155 (21) ◽  
pp. 833-837 ◽  
Author(s):  
József Marton ◽  
Attila Pandúr ◽  
Emese Pék ◽  
Krisztina Deutsch ◽  
Bálint Bánfai ◽  
...  

Introduction: Better knowledge and skills of basic life support can save millions of lives each year in Europe. Aim: The aim of this study was to measure the knowledge about basic life support in European students. Method: From 13 European countries 1527 volunteer participated in the survey. The questionnaire consisted of socio-demographic questions and knowledge regarding basic life support. The maximum possible score was 18. Results: Those participants who had basic life support training earned 11.91 points, while those who had not participated in lifesaving education had 9.6 points (p<0.001). Participants from former socialist Eastern European countries reached 10.13 points, while Western Europeans had average 10.85 points (p<0.001). The best results were detected among the Swedish students, and the worst among the Belgians. Conclusions: Based on the results, there are significant differences in the knowledge about basic life support between students from different European countries. Western European youth, and those who were trained had better performance. Orv. Hetil., 2014, 155(21), 833–837.


2017 ◽  
pp. 38-60 ◽  
Author(s):  
Ewa Cieślik

The paper evaluates Central and Eastern European countries’ (CEEs) location in global vertical specialization (global value chains, GVCs). To locate each country in global value chains (upstream or downstream segment/market) and to compare them with the selected countries, a very selective methodology was adopted. We concluded that (a) CEE countries differ in the levels of their participation in production linkages. Countries that have stronger links with Western European countries, especially with Germany, are more integrated; (b) a large share of the CEE countries’ gross exports passes through Western European GVCs; (c) most exporters in Central and Eastern Europe are positioned in the downstream segments of production rather than in the upstream markets. JEL classification: F14, F15.


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