Scientific publications

Traditional economic activities induce environmental pressures. In order to ensure sustainable economic growth, one needs to decouple it from the environmental pressures. Sustainable growth of the agricultural sector is topical in the sense that economic activity supports rural populations, whereas the resulting environmental pressures may affect diverse groups of population. Thus, the analysis of water footprint related to crop farming is important in the sense of efficient resource use and sustainable development of agriculture in general. In this paper, we focus on Lithuanian crop farming and the related green and grey water footprints.

The carbon footprint for organic and conventional crop farming systems was assessed in Kaunas district (Central Lithuania) using the Life Cycle Analysis (LCA). Data from field experiments were applied to define the effects of the organic and conventional crop farming systems. Both manure and mineral fertilizers were applied to the conventional and only manure in the organic rotations. The closed chamber method was employed to calculate carbon footprints of emitted and absorbed CO2 fluxes.

Wenyin Cheng, Zhusong Yang, Xia Pan, Tomas Baležentis, Xueli Chen Cheng, W.; Yang, Z.; Pan, X.; Baležentis, T.; Chen, X. 2020. Evolution of Carbon Shadow Prices in China’s Industrial Sector during 2003-2017: A By-Production Approach. In Sustainability. Vol. 12, Issue 2, 722, EISSN 2071-1050, https://doi.org/10.3390/su1202072; [AGORA (FAO)external link; AGRIS - Agricultural Sciences and Technology (FAO)external link; Animal Science Database (CABI)external link; CAB Abstracts (CABI)external link; Chemical Abstracts (ACS)external link; Current Contents - Agriculture, Biology & Environmental Sciences (Clarivate Analytics)external link; Current Contents - Social & Behavioral Sciences (Clarivate Analytics)external link; DOAJ - Directory of Open Access Journalsexternal link; EconPapers (RePEc)external link; FSTA - Food Science and Technology Abstracts (IFIS)external link; Genamics JournalSeekexternal link; GeoBase (Elsevier)external link; Global Health (CABI)external link; HINARI (WHO)external link; IDEAS (RePEc)external link; Inspec (IET)external link; Journal Citation Reports / Science Edition (Clarivate Analytics)external link; Journal Citation Reports / Social Science Edition (Clarivate Analytics)external link; Norwegian Register for Scientific Journals, Series and Publishers (NSD)external link; RePEcexternal link; Review of Agricultural Entomology (CABI)external link; Science Citation Index Expanded - Web of Science (Clarivate Analytics)external link; Scopus (Elsevier)external link; Social Sciences Citation Index - Web of Science (Clarivate Analytics)external link; Web of Science (Clarivate Analytics)].

Bioeconomy comprises a novel approach towards economic development in the European Union (EU). Its development should be confined by the planetary boundaries (biocapacity). We integrate the land footprint approach related to production and land biocapacity to assess the trends in capacity and productivity of bioeconomy in the EU countries throughout 1997-2013. Results show that the level of production-based land footprint and land biocapacity vary across the EU countries. However, Belgium is the sole case where production-based land footprint exceeds land biocapacity.

Renewable energy sources (RES) are the main drivers of sustainable energy development. Notwithstanding the substantial expansion of renewables in the past decade, boosted by the various policies and measures, renewable energy sources are still far from full incorporation into the energy markets. It is necessary to overcome the remaining impediments for renewables to realize the energy transition to 100% renewable energy.

The International Energy Agency (IEA) pointed out that thermal electricity generation was the largest contributor to the CO2 emissions in 2018, particularly in China. Inequality and spatial decomposition analyses have been extensively applied to monitor CO2 emissions and climate change. However, there have been no studies focusing on the inequality of CO2 emissions or aggregate carbon intensity (ACI) in the electricity sector.

The economic situation of Lithuanian agricultural sector faces with challenges in regards to family farms’ income instability and income discrepancies between family farms. The aim of this paper is to assess the economic sustainability of Lithuanian sector at farm level across farm size classes in terms of physical size and by specialization.

Artūras Kaklauskas, Darius Jokubauskas, Justas Čerkauskas, Gintautas Dzemyda, Ieva Ubartė, Darius Skirmantas, Askoldas Podviezko, Ieva Šimkutė Kaklauskas, A.; Jokubauskas, D.; Cerkauskas, J.; Dzemyda, G.; Ubarte, I.; Skirmantas, D.; Podviezko, A.; Simkute, I. 2019. Affective analytics of demonstration sites. In Engineering applications of artificial intelligence. Vol. 81, p. 346-372; ISSN: 0952-1976; https://doi.org/10.1016/j.engappai.2019.03.001; [Cambridge Scientific Abstracts; Current Contents - Engineering, Technology & Applied Sciences; EBSCOhost; Engineering Index Monthly; Ei Compendex; Gale Academic OneFile; Gale Infotrac Custom; INSPEC; Science Citation Index Expanded; PubMed/Medline; Scopus; Web of Science; TEMA - Technik und Management; Zentralblatt MATH].

Currently, developing the tax system and improving financial relations between the state and taxpayer are rather important aspects of reforming the economic situation and are relevant to this study. The purpose of this article is to substantiate the scientific approaches to the reform of modern tax systems and to identify effective directions for their practical implementation.

The study used the following general scientific methods of theoretical and empirical research: a systematic approach - to justification for parametric index at set prices based on the additional premium for quality, based on the use of quantitative and qualitative indicators; methods of theoretical generalization - for grouping the principles and functions of prices in the context of the concept of cognitive marketing; the method of dispersion analysis - to detect and assess the price formation dependence not only on quantitative characteristics (material costs), but also on the qualitative characteristics of the product (parametric quality index); the method of correlation-regression analysis - for constructing a regression model of pricing.