This On-Topic revisits the complex issues rising in the food sector and its value chain. Both the European Union and the US competition authorities have scrutinized relationships between food chain actors. The increasing market concentration raises new challenges for competition enforcement authorities dealing with the creation of new powerful actors at the distribution but also at the factor of production (input) levels. The concept of superior bargaining power has played a key role, sometimes criticised, in order to assess these relationships. The papers also discuss the critical intersection of competition law with public policy, with the aim to preserve sustainability, food safety and the stability of agricultural markets
Competition and the State analyzes the role of the state across a number of dimensions as it relates to competition law and policy across a number of dimensions. This book re-conceptualizes the interaction between competition law and government activities in light of the profound transformation of the conception of state action in recent years by looking to the challenges of privatization, new public management, and public-private partnerships. It then asks whether there is a substantive legal framework that might be put in place to address competition issues as they relate to the role of the state. Various chapters also provide case studies of national experiences. The volume also examines one of the most highly controversial policy issues within the competition and regulatory sphere—the role of competition law and policy in the financial sector.
The present study generalizes the results of scientific research in the field of economic and mathematic simulation using elements of the theory of functions of complex variables (TFCV), which was conducted since 2004 under the author’s scientific supervision. Since the new results significantly extend the instrumental basis of scientific research in economics and possess their own theoretical base and logic, this section of economic and mathematic simulation was called “complex economics”. The study provides the fundamentals of this new scientific direction in economics and demonstrates how to use this theoretical base to build new economic and mathematic models that appear to be more adequate than models of real variables.
Most economists are absolutely unfamiliar or slightly familiar with the theory of functions complex variables. This is why, in this study, we would state briefly some provisions of this theory to get the reader acquainted with TFCV, and then formulate sequentially the principles of the theory of complex economy, its axiomatic core, basic conceptual positions of the theory, methods and models of the complex economics. Where necessary, theoretical provisions are verified by examples from the real economic practice.
The study is targeted at scientific workers, post-graduate students and doctors using economic and mathematic simulations in their activity.
Учебное пособие предназначено для студентов дистанционной формы обучения.
В пособии содержатся тексты монологического характера, лексические и грамматические упражнения.
Contributions in this volume focus on computationally efficient algorithms and rigorous mathematical theories for analyzing large-scale networks. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks.
This proceeding is a result of the 7th International Conference in Network Analysis, held at the Higher School of Economics, Nizhny Novgorod in June 2017. The conference brought together scientists, engineers, and researchers from academia, industry, and government.
Сборник включает 71 доклад международной конференции по ком пьютерной лингвистике и интеллектуальным технологиям «Диалог 2017», представляющих широкий спектр теоретических и прикладных исследо ваний в области описания естественного языка, моделирования языковых процессов, создания практически применимых компьютерных лингви стических технологий.
Историко-филологический сборник "Con amore" посвящен ординарному профессору кафедры русской литературы Тартуского университета Любови Николаевны Киселевой.
dance4life is a globally active organization within the fields of HIV, sexual and reproductive health and rights (SRHR) and the Millennium Development Goals, specifically aiming to establish a social youth movement consisting of 1 million agents4change by 2014. The central mission of dance4life is to power a movement that creates change at global and community level by taking action to improve young people’s SRHR, and in particular, improving access to sexuality education and youth-friendly services, and to challenge stigma and discrimination and break down taboos that surround sexuality, especially focusing on HIV and AIDS. KIT was invited to partner with dance4life on an impact assessment of dance4life’s work, with a focus on mixed methods and the involvement of the young people themselves. The assessment took place in two countries: Uganda and Russia. A pilot study was undertaken in the Netherlands to test the qualitative research instruments.
This is the first textbook on attribute exploration, its theory, its algorithms for applications, and some of its many possible generalizations. Attribute exploration is useful for acquiring structured knowledge through an interactive process, by asking queries to an expert. Generalizations that handle incomplete, faulty, or imprecise data are discussed, but the focus lies on knowledge extraction from a reliable information source.
The method is based on Formal Concept Analysis, a mathematical theory of concepts and concept hierarchies, and uses its expressive diagrams. The presentation is self-contained. It provides an introduction to Formal Concept Analysis with emphasis on its ability to derive algebraic structures from qualitative data, which can be represented in meaningful and precise graphics.