scholarly journals Triangulation Applied to the Intra-European Union Tomato Market

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Jaime De Pablo Valenciano ◽  
José Antonio Torres Arriaza ◽  
Juan Uribe-Toril ◽  
José Luis Ruiz-Real

An understanding of the intracommunity trade is essential for the agents involved in the fresh tomato market (farmers, entrepreneurs, public administrations, and consumers). The purpose of this paper is to analyze the interdependent relationships between exporting and importing countries within the European Union for a specific product such as fresh tomatoes and thus understand which have been the key countries in three specific years (2002–2007–2017). The methodology used to study the interrelationships of trade flows in the countries of the European Union (EU) is that of triangulation by means of the Leontief input-output model. Artificial intelligence techniques are used to process and triangulate the data based on pathfinding techniques using a cost function. The triangulation results have created a hierarchy of countries (suppliers and customers). This type of methodology has not been applied to the field of foreign trade. The results show that Netherlands and Spain are key countries in intracommunity trade as they have a strong impact both with regard to their exports and their imports and are fundamental when analyzing the growth of specific sectors and how they are able to stimulate the economies of other countries.

Author(s):  
Ancuta Stangaciu

In this study, I proposed to analyze the spatial concentration of international trade flows between Romania and the European Union both overall and by the sections of the Combined Nomenclature. Using statistical analysis methods such as square and Gini’s index or Onicescu informational energy, I concluded that Romania’s main trade partners are Italy, Germany and France and trade relations with these 3 countries are characterized by exchanges of good to cover, generally a wide range of products.


Author(s):  
Agnė JOTAUTAITĖ ◽  
Eglė JOTAUTIENĖ

In this paper, export opportunities of textile products from Turkey to Lithuania are analyzed. The main goal of this article is to present an analysis of the opportunities to import textile products from Turkey to Lithuania. The empirical research basing on the statistical database analysis was used. The analysis of Turkey’s markets was showed that the economy is strongly dependent on exports of various products from Turkey and it is about one forth of Turkey’s GDP (Gross Domestic Product). The bulk of exports from Turkey is t o countries in the European Union. Turkey is one of the world’s largest manufacturers and exporters of textiles. The analysis of Lithuanian markets was indicated that Lithuania has a feasible market for imports due to its fast growing GDP, increasing labor wages and modernization of agriculture industry. Furthermore, advantageous and adequate policies of Lithuania’s foreign trade should encourage the development of imports to this country. The demand for textile products in Lithuania is growing rapidly and it is one of the most important sectors in fostering its economy


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Pedro Gutiérrez-Hernández ◽  
Ignacio Abásolo-Alessón

Abstract Background This study aims to analyse the relative importance of the health care sector (health care activities and services), its interrelations with the rest of productive activities, aggregate supply and demand, employment requirements and apparent labour productivity in the European Union (EU) economy as a whole, and in the economies of member countries. Methods The methodology used is based on input–output analysis. Data are extracted from National Accounts and, specifically, from the input–output framework for 2010. Data in national currencies are adjusted using as a conversion factor, specific purchasing power parities for health. Results In the EU, market production predominates in the provision of health care activities, which are financed mainly by public funding. However, there is significant variability among countries, and, in fact, non-market production predominates in most EU countries. The health care sector has direct backward and forward linkages lower than the average for all sectors of the economy and the average for the services sector. Thus, this sector is relatively independent of the rest of the productive structure in the EU. The health care activities industry is key because of its ability to generate value added and employment. Regarding apparent labour productivity, there are significant differences among EU countries, showing that productivity is positively related to the weight of market production in health care activities and negatively related to the number of hours worked per person employed. Conclusions Our results provide useful insights for health authorities in the EU, as they analyse the effect of health policies on macroeconomic indicators using an input–output framework, as well as comparing these effects with those in EU member countries. To the best of our knowledge, an analysis of the health care sector in the EU economy and the countries that integrate it using an input–output framework has not been undertaken. In addition, to compare health care expenditure between countries, data in national currencies have been adjusted using specific purchasing power parities for “health”, and not ones referring to the total economy (GDP), which is common practice in many previous studies.


Author(s):  
Ivo Zdráhal ◽  
Věra Bečvářová

The aim of the paper is to evaluate the development of the Czech foreign trade in milk and milk products and specify the typical features and consequences within its territorial and commodity structure using a specific system of indicators intended to show a relevant image on the topic. The analysis covers the period between 1999 and 2015 and are interpreted in the context of changes of the business environment that have occurred in the last two decades, particularly in relation to the Czech Republic’s entry into the European Union. Throughout the studied period, the Czech Republic revealed a positive balance of trade in milk and dairy products, as well as favourable values of TC index (value of coverage of import by export). The dynamics of the territorial structure of export and import is embodied in the overall trade dynamics between the Czech Republic and countries of EU-28. The Czech Republic’s entry into the EU common market, however, led to a change in the trading milk product structure. As a negative is regarded the fact that the structure of Czech export to the EU countries has changed and that is mainly concentrated on basic raw milk or dairy products of the first phase of processing with relatively low added value.


2019 ◽  
Vol 5 (2) ◽  
pp. 75-91
Author(s):  
Alexandre Veronese ◽  
Alessandra Silveira ◽  
Amanda Nunes Lopes Espiñeira Lemos

The article discusses the ethical and technical consequences of Artificial intelligence (hereinafter, A.I) applications and their usage of the European Union data protection legal framework to enable citizens to defend themselves against them. This goal is under the larger European Union Digital Single Market policy, which has concerns about how this subject correlates with personal data protection. The article has four sections. The first one introduces the main issue by describing the importance of AI applications in the contemporary world scenario. The second one describes some fundamental concepts about AI. The third section has an analysis of the ongoing policies for AI in the European Union and the Council of Europe proposal about ethics applicable to AI in the judicial systems. The fourth section is the conclusion, which debates the current legal mechanisms for citizens protection against fully automated decisions, based on European Union Law and in particular the General Data Protection Regulation. The conclusion will be that European Union Law is still under construction when it comes to providing effective protection to its citizens against automated inferences that are unfair or unreasonable.


2021 ◽  
pp. 1037969X2110523
Author(s):  
Dan Svantesson

The European Union (EU) published its proposed Regulation laying down harmonised rules for Artificial Intelligence (the Artificial Intelligence Act) on 21 April 2021. Once it comes into force, this Act will impact upon Australia. It is therefore important that Australians take note of the proposal at this relatively early stage. This article brings attention to the key features of the EU’s proposed Artificial Intelligence Act. However, the main aim is to highlight why it is important for Australia and to examine, in some detail, the rules that will determine when the Act applies to Australians.


Author(s):  
Lenka Fojtíková ◽  
Michaela Staníčková

This chapter deals with application of Data Envelopment Analysis (DEA) method to multicriteria performance evaluation of the European Union' (EU) Member States in the reference period 2000-2015. The productivity of the EU countries can be seen as the source of national performance and subsequent international competitiveness. International trade, as a major factor of openness, has an increasingly significant contribution to economic growth and thus for competitiveness. The aim of the chapter is to analyse level of productive potential achieved by the EU Member States. The results confirm the heterogeneity that exists among the EU Member States as well as in the trade area. While the calculations show that productivity growth of foreign trade was significant in the case of the entire EU, but the significance of productivity in foreign trade was not the same in the case of individual countries.


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