Revealed comparative advantages in academic publishing of “old” and “new” European Union Member States 1998–2018

Grančay, Martin; Dudáš, Tomáš; Mura, Ladislav

doi:10.1007/s11192-021-04251-z

Cited by 3 publications

(1 citation statement)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The analysis of foreign trade portfolios to identify comparative advantages commonly involves calculating the Revealed Comparative Advantage (RCA) index, developed by Bela Balassa [23] in the 1960s. The commonly accepted merit of the method is that the RCA index significantly reflects how intensely a country exports a product compared to the global average [24][25][26][27] . The concept of comparative advantage reflects a country's ability to produce a product that is not only more productive, but also more differentiated than other countries [28,29] .…”

Section: Comparative Vs Competitive Advantages In Agricultural Tradementioning

confidence: 99%

<p>China—Eastern Europe Agricultural Trade: (Dis)Advantages and Policy Responses</p>

Erokhin,

Ivolga,

Lazareva

et al. 2024

Res. World Agric. Econ.

View full text Add to dashboard Cite

Assessment of the competitive advantages of goods and countries is one of the cornerstones of contemporary macroeconomics. In agriculture, this assessment is complicated by various factors, such as natural conditions, technological capabilities of agricultural production, and food security concerns. This study aimed to address the specific advantages of different countries by using a five-stage algorithm to calculate the Revealed Comparative Advantage (RCA), Relative Trade Advantage (RTA), Lafay (LI), and Domestic Resource Cost Advantage (DRC) indices for eight Eastern European countries and their trade with China in 37 categories of food and agricultural products. These products were grouped into four categories based on their revealed advantages. Competitive advantages of Eastern European countries were found in sectors that require technology and capital, such as crops, cereal products, edible goods, and animal feed. The study contributed to linking trade and competitive advantages with production capabilities of individual countries. It suggested promoting externally oriented advantages for competitive products and redirecting the supply of marginally competitive and non-competitive goods to domestic markets.

show abstract

Section: Comparative Vs Competitive Advantages In Agricultural Tradementioning

confidence: 99%

<p>China—Eastern Europe Agricultural Trade: (Dis)Advantages and Policy Responses</p>

Erokhin,

Ivolga,

Lazareva

et al. 2024

Res. World Agric. Econ.

View full text Add to dashboard Cite

show abstract

Relative publication output and international collaboration in anaesthesiology and pain medicine: a bibliometric analysis from 1996 to 2021

Kinoshita

Sakai

Tanaka

2023

British Journal of Anaesthesia

View full text Add to dashboard Cite

Assessment of the Drivers and Effects of International Science and Technology Cooperation in Xinjiang in the Context of the Belt and Road Initiative

Wang

Dong

2023

Sustainability

View full text Add to dashboard Cite

International science and technology (S&T) cooperation is one of the important ways to ensure the continuous development of a national innovation system. “One Belt One Road” advocates the concepts of common business, common construction, and sharing, and new countries and regions are constantly added. However, different countries/regions have different natural and socio-economic characteristics, so the main controlling factors affecting their international S&T cooperation may not be the same. Therefore, this paper uses a combination of multi-source data and multiple methods to collectively construct an assessment model of the driving effect of international S&T cooperation in Xinjiang. The evaluation results of the entropy-weighted TOPSIS model show that the contributions of S&T level, city nature, and S&T investment to international S&T cooperation in Xinjiang are 22.9%, 22.3%, and 20.4%, respectively. Singapore, Germany, and Russia are the top three countries in terms of the effectiveness of international S&T cooperation with Xinjiang. The results of the STIRPAT model show that the total number of R&D personnel and the number of R&D personnel per 1000 workers are the main factors affecting the driving effect of international S&T cooperation. The former can be regarded as the stabilizer of international S&T cooperation. This paper’s findings can provide theoretical support for the efficient integration of diverse advantageous resources among cooperating subjects.

show abstract

Revealed comparative advantages in academic publishing of “old” and “new” European Union Member States 1998–2018

Cited by 3 publications

References 50 publications

<p>China—Eastern Europe Agricultural Trade: (Dis)Advantages and Policy Responses</p>

<p>China—Eastern Europe Agricultural Trade: (Dis)Advantages and Policy Responses</p>

Relative publication output and international collaboration in anaesthesiology and pain medicine: a bibliometric analysis from 1996 to 2021

Assessment of the Drivers and Effects of International Science and Technology Cooperation in Xinjiang in the Context of the Belt and Road Initiative

Contact Info

Product

Resources

About