Socialiniai tyrimai 2022-11-24T09:43:25+00:00 Teodoras Tamošiūnas Open Journal Systems <p>Founded in 2002 and dedicated to publishing the results of different social research.</p> Assessment of the Factors Affecting the Intention to Invest in a P2P Lending Platform 2022-11-03T09:42:58+00:00 Gintarė Leckė Gabrielė Milašiūtė Akvilė Šeškevičiūtė <p>The digitalisation of the financial system and the rapid growth of new financial technologies are<br>contributing not only to the change of the financial system, but also to the change of the way people make<br>financial decisions. The development of financial technologies has led to the emergence of new financial<br>services and products, such as P2P lending. With the growth P2P lending market, the scientific literature<br>pays more and more attention to the analysis of investment intentions through P2P lending platforms and the<br>assessment of the factors affecting the intention to invest (Dja’akum, 2019; Fiorentino et al., 2020; Khan et<br>al., 2021Yang ir Lee, 2016; Poeteri, et al., 2021). It should be noted that, although the interest of researchers<br>in this field is growing, the research in the European context is not sufficient, which reveals the relevance of<br>this study. Thus, the aim of the present study is to assess the factors that affect the intention to invest through<br>P2P lending platforms in Lithuania.<br>A theoretical review of the scientific literature revealed that previous empirical studies have categorised the<br>factors of the intention to invest through peer-to-peer lending platforms into individual and platform factors.<br>Individual factors are understood as risk appetite, perceived risk, financial literacy, while platform factors are<br>understood as perceived ease of use, perceived usefulness, trust. Attitude toward behaviour can be seen as<br>both an individual and a platform factor. Other factors, such as relative advantage, compatibility, complexity,<br>perceived behaviour control are also distinguished in the scientific literature, but are not considered in the<br>analysis of the intention to invest through peer-to-peer lending platforms.<br>Research data was collected through an online survey. The survey questionnaire was distributed online<br>between February and April 2022. The survey sample consisted of 211 respondents. The conceptual research<br>model was developed using a Modified Technological Acceptance (TAM) model, which was performed using<br>the Structural Equation Modelling (SEM) method.<br>The SEM analysis revealed that the intention to invest through P2P lending platforms was indirectly influenced by the trust of the P2P lending platform, perceived risk and risk appetite factors. The indirect impact<br>was through attitude toward P2P lending platforms factor, which had a strong and significant positive impact<br>on the intention to invest through P2P lending platforms. The effect of perceived usefulness and perceived<br>ease of use on Lithuanian investors‘ attitudes towards P2P lending platforms was not statistically significant,<br>and therefore no statistically significant effect of these factors on the intention to invest through P2P lending<br>platforms was found.</p> 2022-11-03T07:27:27+00:00 Copyright (c) 2022 Gintarė Leckė | Gabrielė Milašiūtė | Akvilė Šeškevičiūtė Measuring environmentally sustainable growth in agriculture across the EU countries based on Solow residual-based MFP 2022-11-24T09:43:25+00:00 Vlada Vitunskienė Lina Lauraitienė <p>Scientific publications on environmentally sustainable or green growth in agriculture are increasingly becoming more important but empirical research is scarce. In empirical studies, the most commonly accepted way to assess environmentally sustainable or green growth in agriculture is based on measures of total factor productivity (TFP) or multifactor productivity (MFP) growth. Both measures are important for analytical and monitoring tools that can help to better understand the factors affecting output growth as well as the determinants of changes in production factors (labour and produced capital) in agriculture. Growth of TFP or MFP is achieved through the application of technologies and advanced production practices that result in higher output from the same amount, or lower inputs (labour and produced capital).<br>Conventional TFP and MFP are not suitable for the assessment of environmentally sustainable growth in agriculture because both indicators do not include environmental variables such as environmental pollution and natural capital. There is a lack of comparative empirical studies between EU countries. This study focuses on the problem of measuring environmentally sustainable growth in agriculture. The aim of this study is twofold: firstly, to develop a framework for the assessment of environmentally sustainable growth in agriculture, based on information collected in public databases; and secondly, to empirically analyse environmentally sustainable growth in agriculture in EU countries over the long period. The environmentally adjusted multifactor productivity (EAMFP) growth measure was applied to assess environmentally sustainable growth in agriculture of the EU’s countries. For analysis, the environmental pollution of agricultural production was expressed as net GHG emissions, and natural capital was expressed as the quality-adjusted agricultural land area.<br>The research was conducted using literature overview, decomposition technique and cluster analysis method. The 28 EU countries (including the United Kingdom, which was a member of the EU until January 1, 2020) were included in the empirical analysis. The analysis covered the period between 2005 and 2019 and a five-year average annual change rates (2005-2009 and 2015-2019 respectively) were used to compare the environmentally sustainable growth in agriculture between the beginning and the end of the considered period, as is common in most agricultural growth studies.<br>The findings show that pollution-adjusted GDP growth in agriculture was achieved in less than a five of the EU countries at the beginning of the considered period, and in most of the EU countries at the end of the considered period. In most of the EU countries, the environmentally sustainable growth in agriculture was mainly determined by technological progress, while the slow change in environmental pollution (net GHG emissions) did not have a significant contribution to agricultural growth in all EU countries. Following the hierarchical clustering method, three significantly different clusters of the EU countries were identified in terms of gross added value growth and technological progress in agriculture of EU countries in the context of environmentally sustainable growth.</p> 2022-11-23T13:46:05+00:00 Copyright (c) 2022 Vlada Vitunskienė | Lina Lauraitienė