Scientific publications

Productivity measures the performance of decision-making units (DMUs)—firms, organizations, industries, or the overall economy—as the ratio of outputs to inputs. This paper discusses an improved approach for estimating partial productivity—the additional amount of output that can be produced by increasing a specific input by one unit.

Automobile industries are facing rapid and unanticipated changes in their business environment. New strategies are needed to remain competitive in the market for those companies. The supply chain plays a crucial role in automobile companies, and improving the supply chain helps them to be successful in the competition.

This study examines the economic implications of climate policies, specifically evaluating the effectiveness of Kyoto Protocol (and the institutional setting emerging from it) in reducing carbon emissions. By analyzing data from 36 OECD countries between 1992 and 2019, we assess marginal abatement costs and evaluate the impact of the Kyoto Protocol.

Stakeholder engagement in the process of policy formation can mitigate the risks of flaws in policy planning and implementation; it also facilitates the successful adoption of new decisions, reduces conflict, and enhances the sense of responsibility among all actors involved in the implementation phase.

This paper analyses the sustainable economic competitiveness of cereal farms in Lithuania relative to selected European Union (EU) Member States (MS). The paper proposes and empirically tests an aggregated measure of Sustainable Economic Competitiveness Index (SECI) for agriculture from a production perspective.

Evaluating the consumption-based carbon footprint offers detailed insights into people’s behaviours, lifestyles, and environmental impact stemming from their consumption patterns. Integrating life satisfaction and attitudes into the analysis is crucial. This paper aims to examine how life satisfaction, financial constraints, attitudes toward sustainable consumption, environmental awareness, and socio-economic/demographic variables contribute to the carbon footprint across the following consumption categories: food, mobility, electricity, heating, and clothes.

The subject of the paper is to point out the influence of the so-called "neoliberal culture" on economic development in the SEE countries and to explain the relationship between "neoliberal culture" and alternative institutions. In order to understand the topics covered by the research, the nature of the relationship between culture and institutions, as well as the relationship between culture and economic development, are additionally explained. The goal of the research is to ascertain the negative impact of the so-called "neoliberal culture" in SEE countries.

Climate change is largely caused by human activities and has negative effects on the world such as temperature rise, sea level rise and warming oceans, easier spread of disease, increased species loss, more intense natural phenomena, food scarcity, forced migration and increased poverty. This can leave an emotional impact on people – people start experiencing climate change-related emotions or eco-emotions. These emotions can affect each other and people’s environmental behaviour.

Seeking to implement the sustainable development goals (SDGs), the integration of digital technologies in supply chains emerges as a promising tool to address environmental challenges and improve operational efficiency. Utilizing the supply chain innovation and application pilot policy as a quasi-natural experiment, we assess the causal impact of supply chain digitization on corporate environmental practices. Our findings reveal that supply chain digital innovation substantially enhances corporate environmental practices.

Meat consumption has come under scrutiny due to its significant ecological footprint. Understanding the determinants of meat consumption is crucial for designing effective interventions to promote sustainable diets. Thus, using results from the representative survey conducted in Latvia, in 2023 and by applying the factor analysis and generalized linear regression, this research aims to explore the most influential determinants of meat consumption behaviours within the framework of the extended Theory of Planned Behaviour.