Mokslo publikacijos ir leidiniai

Fuzzy preference relation (FPR) models the preference information provided by decision-makers using pairwise comparison of alternatives. The extant consistency test of FPRs, as a premise of expert opinions aggregation, suffers from the rule unfairness problem in different cases.

goals, especially those related to the climate change. Even though there have been attempts to analyse the energy-related greenhouse gas (GHG) emission in the European Union, there is still a lack of research that considers structural change, fossil energy consumption, and energy-mix simultaneously. In this context, the present paper addresses the growth in energy-related greenhouse gas (GHG) emissions in the European Union (EU) agriculture. The index decomposition analysis based on the logarithmic mean Divisia index is implemented over the period of 2004–2021. The change in the GHG intensity at the EU level is factorized with respect to the structural effect and those related to the energy intensity, the share of the fossil energy, and carbon factor for the fossil energy. The results suggest that a decline in the energy intensity appeared as the main driver pushing the energy-related GHG emission intensity down in the EU agriculture. This calls for further actions directed towards the increase of the use of renewables.

Food waste is a critical issue demanding concern due its detrimental impact on the environment, the economy, and social well-being. In higher income countries, the greatest amount of food is wasted in households. To tackle the issue of household food waste, it is essential to characterize and measure this waste.

Climate change poses an urgent threat, necessitating the implementation of measures to actively reduce carbon emissions. The development of effective carbon emission reduction policies requires accurate estimation of the costs involved. In situations where actual prices of commodities are not available in the market, shadow pricing provides a useful method to calculate relative prices between commodities with and without price information.

The interactions between financial development, productivity nd growth have been studied in the literature. However, their nature, directions and magnitudes remain unclear, and no consensus has been reached, notably in the agricultural sector. We conduct a state-of-the-art review of this topic and also present alternative environmental determinants (climate change and extreme event issues; water, soil and land management practices; waste management and circular economy) of agricultural productivity. In doing so, we show where this domain has fallen short on methodological approaches, while emphasizing the relevant feature characterizing this empirical debate. Moreover, we emphasize the heterogeneity of the linkages between financial development, productivity and growth across income groups. Along with prospects for future research, some policy recommendations are offered.

Exploring the factors that affect agricultural environmental performance enriches our understanding of the nvironmental implications of agricultural practices. Using panel data for 79 prefecture-level cities in the middle and lower reaches of the Yangtze River in China from 2003 to 2020, this study theoretically determines and mpirically tests the relations environmental performance.

To examine the intricate relationship between digitalization development and sustainable development, this study commences its analysis by employing the entropy method to establish an integrated indicator of digitalization development among advanced nations. Subsequently, we utilize a panel dataset spanning a decade from 2010 to 2020, encompassing 36 developed countries, to estimate Green Total Factor Productivity (GTFP) growth.

Responding to disruptive events is important to maintain supply chain viability. It is of the utmost importance to maintain functioning of agrifood supply chains as they provide essential goods for maintaining the population. However, there is a diverse pool of possible strategies to ensure the viability of agribusiness and agrifood supply chains. This paper seeks to identify the most relevant strategies for ensuring agrifood supply chain viability amid disruptive events.

In its efforts to achieve carbon peak and carbon neutrality, China has focused on new energy as a key driver, with significant implications for China’s new energy and stock markets. However, few studies have examined the relationship between the two markets. Based on multivariate generalized autoregressive conditional heteroskedasticity models, we investigate the volatility spillovers and dynamic correlations between China’s new energy and stock markets using daily data  from 2009 to 2023.

Scientists, politicians, and practitioners are debating the current structure of pig farms in Lithuania, as medium and small farms have almost disappeared over the past decade. The debated problem is whether the revitalization of medium and small pig farms would sustainably contribute to self-sufficiency in pork production.