Journals Published by Vilnius Tech
Not a member yet
12596 research outputs found
Sort by
Internet of things-enabled tourism economic data analysis and supply chain modeling
Get PDFThe purpose is to cut the costs of Supply Chain enterprises in Ice-Snow Tourism (IST) and improve the intelligence and automation of Supply Chain Management (SCM). First, the spatial-temporal characteristics of economic data of the IST Supply Chain are analyzed based on the Internet of Things (IoT). Second, the annual Online Public Attention (OPA) data to IST in domestic cities and regions are collected. The quarterly concentration index and Gini coefficient are used to analyze their spatial and temporal characteristics. Then, the weighted fusion algorithm used for the Supply Chain scenario modeling is improved to solve data redundancy and improve information accuracy. Finally, the framework of the IST-oriented Supply Chain scenario ontology model is proposed. The experimental results show that Internet users give much attention to IST from 2011 to 2021. OPA to IST increased first and decreased and peaked in 2016. The final fusion value of the proposed data fusion algorithm is 20.0221, and that of the adaptive Weighted Average Method (WAM) is 20.0724. Thus, the proposed algorithm outperforms the adaptive WAM. The traditional scenario-based ontology model takes people as the center. In contrast, the Supply Chain scenario-based ontology model centers around product state and scenario. Therefore, the proposed Supply Chain scenario-based ontology model is entirely new. The proposed scenariobased ontology model using polymorphic IoT lays the foundation for developing an intelligent and automatic SCM. It has great practical significance in realizing efficient tourism industry management and SCM.
First published online 10 August 202
Does technological progress promote or prevent trade conflict? Evidence from China
Get PDFUsing the bootstrap rolling-window subsample Granger causality test from China, this study analyses the influence of technological progress (TP) on trade conflict (TC). The results show that TP can both promote and prevent TC. In 2012 and 2018, TP led to more trade conflicts between China and its trading partners. This result proves the “trade-loss effect”, suggesting that TP in one country promotes TC by threatening other countries’ income. However, TP had a negative influence on TC in 2021 and 2022. This finding is consistent with the “welfare effect”, implying that TP can prevent TC by providing more high-quality and cheaper products for worldwide consumers. This study suggests that the government should adopt appropriate trade policies when encouraging TP to promote bilateral trade. Furthermore, firms should develop their own high-quality irreplaceable products through technological innovation to address TC risk.
First published online 22 March 202
Does income inequality affect green innovation? A non-linear evidence
Get PDFIt is crucial for the advancement of political economics and innovation economics to examine the relationship between income inequality and green innovation (GI). Using the panel fixed effect model, this study investigates the influence of income inequality on GI across 97 countries from 1991 to 2018 and demonstrates a significant non-linear association between the two. The empirical data exhibit an inverted U-shape relationship, suggesting that there is an optimal degree of income inequality that optimizes GI output, and the inflection point of our overall sample is at a Gini coefficient of 0.366. Additionally, we choose a set of robustness tests to validate the results by substituting explained variables, adding omitted variables, and employing the difference and system generalized method of moments (GMM) estimations. Moreover, heterogeneity analysis reveals that the non-linear patterns vary among samples, with the U-shape relationship being more significant in countries with lower income, higher corruption, and weaker government effectiveness. Our findings provide government decision-makers with a crucial reference for maximizing the importance of income distribution in fostering GI and achieving sustainable development.
First published online 24 August 202
Foreign direct investment performance drivers at the country level: a robust compromise multi-criteria decision-making approach
Get PDFThis paper focuses on the performance drivers of Foreign Direct Investment (FDI) at the country level, exploring the socio-demographic specifics of donor and receiver countries. To this end, a novel Robust Compromise (RoCo) Multi-Criteria Decision-Making (MCDM) model is proposed using non-linear programming solved by genetic algorithms. The model builds upon established traditional models for alternative ranking and criteria weighting. Subsequently, a stochastic robust regression is performed, building upon previously computed bootstrapped Tobit, Simplex, and Beta regressions to handle performance scores ranging between 0 and 1. The goal is to test FDI performance against a set of contextual variables. The findings suggest that the performance of FDI is relatively low, and relevant improvements should be made. Our second stage analysis reports that higher GDP per capita and good social welfare, including lower infant mortality and higher life expectancy, contribute to the improvement in FDI performance. Furthermore, it is found that a large percentage of women in the total population, wealth concentration in the destination country, as well as the degree of urbanization, are helpful to improve FDI performance. Finally, we find that FDI performance is mainly concentrated on industries that are high-tech and high value-added
Global patterns and extreme events in sovereign risk premia: a fuzzy vs deep learning comparative
Get PDFInvestment in foreign countries has become more common nowadays and this implies that there may be risks inherent to these investments, being the sovereign risk premium the measure of such risk. Many studies have examined the behaviour of the sovereign risk premium, nevertheless, there are limitations to the current models and the literature calls for further investigation of the issue as behavioural factors are necessary to analyse the investor’s risk perception. In addition, the methodology widely used in previous research is the regression model, and the literature shows it as scarce yet. This study provides a model for a new of the drivers of the government risk premia in developing countries and developed countries, comparing Fuzzy methods such as Fuzzy Decision Trees, Fuzzy Rough Nearest Neighbour, Neuro-Fuzzy Approach, with Deep Learning procedures such as Deep Recurrent Convolution Neural Network, Deep Neural Decision Trees, Deep Learning Linear Support Vector Machines. Our models have a large effect on the suitability of macroeconomic policy in the face of foreign investment risks by delivering instruments that contribute to bringing about financial stability at the global level.
First published online 17 April 202
Sustainable housing development in China: does financial institutions overcome the risks and challenges to sustainable housing?
Get PDFHousing industry is one of the major threats to global environment and resource depletion. Particularly in China, it is regarded as a major challenge due to massive population growth. The most common barriers involve; economic barriers and environmental barriers. Therefore, to promote sustainable housing development, the management of these barriers is most crucial. This study is an attempt to overcome these barriers with the help of financial institutions in the context of China. The sample of the study are construction sector employees which are selected through simple random sampling method. Partial Least Square (PLS) is employed as statistical tool to analyze the primary data. Results revealed the positive role of financial institutions to overcome the challenges related to the economic barriers and environmental barriers. Financing from banks for the sustainable housing schemes can reduce the economic barriers and help to fulfil the sustainable housing criteria. Similarly, the environment requirements can also be achieved through environmental policy developed by the banks in China. This study recommended the Chinese government to promote sustainable hosing development through the promotion of bank financing and implementation of banks environmental policies.
Please view correction statement: Corrigendum: Sustainable housing development in China: does financial institutions overcome the risks and challenges to sustainable housing?
First published online 14 March 202
Exploring factors influencing the digital economy: uncovering the relationship structure to improve sustainability in China
Get PDFDigital economy is a great route to promote the efficient utilization of natural resources and promote sustainability due to its high-tech, rapid growth, extensive penetration, deep integration and other characteristics. Existing study on the influencing factors of the digital economy is not deep enough and lacks the analysis on the relationship structure of factors influencing the digital economy, which is not conducive for an overall grasp of the digital economy. To correctly understand how to better develop the digital economy, this paper studies its influencing factors and the relationships between them. Based on the time-series data of China from 2002 to 2018, grey correlation analysis was applied to calculate the correlation between these influencing factors and the digital economy, and determine the major influencing factors of digital economy development in China. The Granger causality test and a review of existing research were used to judge the interrelationship of various factors. The interpretative structure model was utilized to determine the relationship structure of the main factors affecting the development of China’s digital economy. The results show that the number of digital talents, state of the technology market, and degree of digitalization are direct influencing factors of the digital economy. The results help to better understand the development of the digital economy and will enable the implementation of policies to improve towards more sustainable cities
Were the manufacturing companies resilient in the face of COVID-19 or did they take advantage?
Get PDFThe research paper aims to build a composite index of the financial performance of companies, to find if the impact of the COVID-19 crisis was significantly positive for most manufacturing companies listed on Bucharest Stock Exchange, and to look if the manufacturing companies were resilient being prepared with savings that could have mitigate the effects of this pandemic crisis. The results of the FE model selected show that 31.67% of the company’s equity variation is justified by the two independent variables, the stronger correlation of equity being with reserves. Based on the composite index of financial performance built, the manufacturing companies were grouped in three clusters: a cluster with low financial performance companies (z < 4), a cluster with good financial performance companies (4 ≤ z ≤ 8) and a cluster with high financial performance companies (z > 8). The third cluster groups the most analysed companies, on which the pandemic crisis had a positive impact, which achieved the highest financial performance; they are those companies that “take advantage” from the COVID-19 crisis, adapting their business strategy to the market conditions imposed. The article adds value to the specialty literature by building the financial performance’s composite indicator, clustering the manufacturing companies by financial performance’ Z-score
Measuring the technological competitiveness of economies with the PTCE method: PRC vs. USA 2000–2020
Get PDFThe relationship between China (PRC) and the United States (USA) has reached an unprecedented level of tension, mainly due to economic and technological rivalry. This study introduces an original quantitative method, the Pentagon of Technological Competitiveness of Economy (PTCE) to measure the technological competitiveness of both countries from 2000 to 2020. The findings reveal that while the USA remains a global technological leader, the PRC is emerging as a formidable challenger. Although the USA still holds the lead, signs of decline are visible, while the PRC exhibits a remarkable upward trajectory in technological competitiveness. The findings provide actionable recommendations for policymakers. To reinforce its position as the unrivaled technological leader, the USA should prioritize enhancing capabilities in areas such as patents, scientific articles and the export of high technology and STEM-related products. For the PRC there is an unprecedented opportunity to surpass the USA in technological leadership by strategic investments in research, innovation and human capital development. The novelty of this research lies in two main areas: (i) its significant contribution to competitiveness analysis through the introduction of the PTCE method and (ii) its provision of a comprehensive assessment of the shifting technological dynamics between the USA and the PRC
The effect of remittances on poverty and economic growth in Jordan: evidence from augmented autoregressive distributed lag model
Get PDFThis study investigates the effects of remittances on poverty and economic growth in Jordan from 1970 to 2022. The study makes use of the augmented autoregressive distributed lag (AARDL) cointegration method to investigate the relationships between remittances, poverty, and economic growth. The study also incorporates control variables including foreign direct investment, inflation, interest rates, government expenditures, and the composite trade index to take into consideration their potential impact on the outcomes. The findings support remittances’ role as an economic development accelerator by demonstrating their strong positive impact on Jordan’s economic growth. Remittances have a detrimental impact on poverty as well, suggesting a potential role for them in efforts to eradicate it. The research also confirms the anticipated impacts of the control variables, indicating that while inflation, interest rates, and the composite trade index have favourable effects on poverty, government expenditures and foreign direct investment have negative consequences. The policymakers and stakeholders in Jordan will need to consider the implications of these findings carefully. Policymakers can create measures to draw in and successfully channel remittance flows by recognising the beneficial effects of remittances on economic growth and poverty alleviation. The findings also highlight how important it is to encourage foreign direct investment, control inflation and interest rates, and facilitate trade diversification in order to boost economic growth and lower poverty.
First published online 28 August 202