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Mokslo publikacijos ir leidiniai

Sustainable agriculture development holds significant global and regional importance, particularly within the Baltic countries. On a global scale, it is a critical strategy for meeting the escalating demand for food while simultaneously mitigating the adverse environmental and social consequences associated with agricultural practices. In the context of the Baltic nations, where agriculture constitutes a substantial portion of the economy, the adoption of sustainable farming practices is imperative for ensuring the sector's long-term viability, safeguarding the integrity of the region's distinct ecosystems, and guaranteeing food security for their populations.
The mitigation of climate change requires that agricultural development would proceed in accordance with green and sustainable practices. This implies that economic performance should be improved while minimizing the impact on the environment. One way to assess the underlying costs of sustainable agricultural development, and to model the relationship between the environment and the economy in general, is to use the carbon shadow price (CSP).
Autoriai:dr. Dalia ŠtreimikienėEKVIdr. Tomas BaležentisEKVIYuan Meng Zhiyang Shen Songkai Wang
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.
Autoriai:dr. Tomas BaležentisEKVIdr. Dalia ŠtreimikienėEKVI Bo Kaitlyn PengEKVIGiulio Paolo Agnusdei
Monografija „Transformation through Servitization: A Qualitative Structure Approach” (liet. „Servitizacija kaip raidos vektorius: Kokybinės struktūros teorinė prieiga“) siūlo inovatyvų konceptualų ir empirinį supratimą apie servitizacijos strategijas žemės ūkyje ir kaimo regionų vystyme, išnagrinėtus per evoliucinio požiūrio prizmę, pagrįstą kokybinių struktūrų teorija.
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Vykdydami projektą „Veiklos analizės sistema struktūrinių pokyčių, produktyvumo ir klimato sąveikai tirti žemės ūkyje“, Lietuvos socialinių mokslų centro Ekonomikos kaimo vystymo instituto mokslininkai paskelbė monografiją apie Lietuvos ir Europos Sąjungos (ES) žemės ūkio sektoriaus vystymąsi. Monografiją išleido tarptautinė leidykla Springer. Knygos autoriai yra prof. Tomas Baležentis, prof. Dalia Štreimikienė, dr. Nelė Jurkėnaitė ir dr. Vida Dabkienė.
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.
Autoriai:dr. Tomas BaležentisEKVIDandan Luo Chonghui Zhang Weihua Su Shouzhen Zeng
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.
Autoriai:dr. Tomas BaležentisEKVIYunlong Zhang Jingyu Zhuo Zhiyang Shen
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.
Autoriai:dr. Fabio Gaetano SanteramoEKVINicolas Schneider Cosimo Magazzino
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.
Autoriai:dr. Tomas BaležentisEKVIdr. Dalia ŠtreimikienėEKVIBiaowen Xu Zhiyang Shen
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.
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.
Autoriai:dr. Zhiyang ShenEKVIGuangchen Li Malin Song Weixian Wei