Mokslo publikacijos

This paper proposes the three-stage multi-criteria decision-making (MCDM) non-radial super-efficiency data envelopment analysis (NRSDEA) method with bootstrapping to study a discipline's scientific research efficiency from the university-level perspective. To ensure robust analysis, the proposed model incorporates the contextual variables describing the external environment and the random error.

This research aims to discuss the evolution of short food supply chain theory and practice in the context of three para‐ digm innovations that emerged in the post‐industrial economic system and suggest new paths for sustainable agri‐food system building. All three paradigm innovations are closely related to each other, but each changes a certain dimension of the mental model concerning the food production and delivery system.

The penetration of renewable energy is one of the main challenges for sustainable energy development. Local governments across the European Union commit to development and implementation of the Sustainable Energy (and Climate) Action Plan.

The development of shipping companies relies on multiple financing channels and requires decisions to be made regarding fleet management. Therefore, a firm’s performance should be modeled based on multiple decision variables. The purpose of this paper is to develop a quantitative approach for determining the investment portfolio of a shipping company taking into account the equity value.

Functional principal component analysis (FPCA) is an extension of conventional principal component analysis (PCA) that allows the processing of functional data. Besides the reduction in dimensionality that is inherent to PCA, FPCA relies on fewer assumptions and offers a greater ability to visualize the functional data. Thus, FPCA can be used in, for example, social, economic, and medical research.

Energy policy affects the functioning of the economic and financial systems of countries worldwide. This paper provides a theoretical overview of the economy-energy nexus and discusses the particular cases of the energy policy dynamics amid the sustainability goals. This paper inte‐ grates multiple perspectives on the energy-economy nexus, with a particular focus on the energy trilemma, 4As of energy security and PESTEL approach.

Over the recent decades, the evolution of the European Union (EU) agricultural system has resulted in significant structural changes in member states. Knowledge about the nature and main patterns of structural change is critical to select a sustainable development path for the EU agriculture. This paper contributes to the academic discourse on structural changes in agriculture demonstrating the nexus between socioeconomic and environmental aspects of development. In this regard, results are important to understand the contribution of the EU agriculture to climate change, because study deals with energy use and greenhouse gas emissions.

Research on economic resilience in agriculture is quite complicated due to the interdisciplinary nature of the notion. In agricultural, climate change, sustainability and food security research it appears as an endogenous phenomenon rather as the main one. This study aims to contribute to conceptualization of economic resilience in agriculture, revealing current and identifying future research directions.

This study aims to investigate the relationship between sustainability and resilience concepts in agriculture. First, we discuss the theoretical preliminaries related to the definition of these two concepts. Indeed, the literature considers sustainability as a proxy for resilience and vice versa in the context of agriculture. Intuitively, one may expect that sustainability and resilience are positively correlated. Second, we challenge these insights by embarking on empirical analysis directed at the Northern European countries (Denmark, Estonia, Finland, Latvia, Lithuania and Sweden) that are member states of the European Union.

This paper seeks to account for differences in productivity of the industrial and non-industrial activities in the productivity analysis framework. The Luenberger productivity indicator is widely applied to analyze the productivity change, and can be decomposed as it follows the additive structure.