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Technological and Economic Development of Economy
Vilnius Gediminas Technical University
Technological and Economic Development of Economy

Vilnius Gediminas Technical University

2029-4913

Technological and Economic Development of Economy/Journal Technological and Economic Development of EconomySSCIISSHP
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    THE IMPACT OF TECHNOLOGY ON REGIONAL PRICE DISPERSION IN THE US

    Genc, Ismail H.
    20页
    查看更多>>摘要：We analyze the behavior of inflation in the era of fast pace information thanks to technological advances, especially internet. Owing to readily available information, prices/inflation should quickly converge under perfect competition. To this end, we explore the possibility of price convergence in regional inflation in the USA including the permanency of such a phenomenon if observed, a concern for monetary policy makers. Empirically, we analyze standard deviation of regional inflation with special attention to technology. We show that standard deviation of inflation is not constant over time, but not necessarily ever-declining. Technology seems to help reduce price dispersion across regions.
      原文链接:
    • NSTL
    • Vilnius Gediminas Tech Univ

    DEVELOPMENT OF AN AGGREGATED SOCIAL INCLUSION INDICATOR. DISPARITIES IN THE EUROPEAN UNION ON INCLUSION/EXCLUSION SOCIAL DETERMINED WITH SOCIAL INCLUSION INDEX

    Paraschiv, Dorel-MihaiTitan, EmiliaManea, Daniela-IoanaMihai, Mihaela...
    24页
    查看更多>>摘要：When we mention social inclusion, most of us think of political participation, social rights, civil liberties, equal access to race, ethnicity and gender, access to social services and the labour market, basically to a broader concept than social development. Social inclusion is a concept that can actually be defined, which means it can probably be measured. On this basis, a continuous effort is being made to measure the social inclusion elements, so the results can be used to build new indicators that help measure the multiple dimensions of social inclusion: The Social Inclusion Index, the Human Opportunity Index. This paper presents the development, based on multivariate data analysis techniques and methods, of an aggregated indicator of social inclusion for the member countries of the European Union which, besides the traditional variables (GDP), also measures the factors related to civil and political rights, women's rights or perception of the LGBT community.
      原文链接:
    • NSTL
    • Vilnius Gediminas Tech Univ

    BEHAVIOR AND INFLUENCE MECHANISMS OF ENTERPRISES USING GOVERNMENT SUBSIDIES: EVIDENCE FROM CHINA

    Yan, XiaochangHuang, Guitian
    32页
    查看更多>>摘要：This study investigates the effects of different subsidy use patterns on economic performance, the effect mechanisms, and differences among enterprises with heterogeneous economic performance. A theoretical model is built to analyze the factors influencing subsidy use. Applying ordinary least squares and panel quantile regressions on panel data of China's 3,565 A-share listed companies from 2007 to 2017, we find that subsidies can significantly improve economic performance. Specifically, enterprises usually use subsidies in three different ways (i.e. R&D input, expansion of production capacity for existing products, and human resource training), and the positive impact of these three use patterns on economic performance is moderated by two factors (i.e. the proportions of both R&D operating expenses and human resource training cost) in different degrees. Moreover, the effects are more significant in the lower quantile of economic performance; hence, heterogeneity of economic performance must be considered when formulating relevant policies.
      原文链接:
    • NSTL
    • Vilnius Gediminas Tech Univ

    EXPENDITURE FLUCTUATION AND CONSUMPTION LOSS: RURAL SPATIAL POVERTY IN CHINA

    Luo, XiangQin, JingjingWan, QingJin, Gui...
    26页
    查看更多>>摘要：Poverty is a challenge faced by all countries worldwide. This paper focuses on a factor that has been less well documented: the consumption loss of farmer households caused by the fluctuation of rural public expenditure. Based on large-scale micro household data and climate data, the instrumental variable estimation results show that every 1% fluctuation of rural public expenditure will lead to a 0.113% decrease in farm household consumption. In addition, the fluctuation of rural public expenditure is also a main cause of long-term consumption loss of farmer households. Furthermore, it was found that the impact of rural public expenditure fluctuation on consumption loss is of certain spatial heterogeneity. The worse the spatial environment is, the more serious the consumption loss will be. The policy suggestion of this paper is to ensure a stable scale of rural public expenditure through the central transfer payment, so as to improve the ability of local governments to implement counter cyclical public policies, and transform local finance (industrial investment) into public finance (infrastructure and education) to improve the local space environment. Overall, this study reveals the impact of spatial externality on rural poverty from the perspective of public expenditure fluctuation, and at the same time provides empirical evidence for a better evaluation of the relationship between development and poverty and support for rational regional anti-poverty policies.
      原文链接:
    • NSTL
    • Vilnius Gediminas Tech Univ

    CORPORATE STRATEGY DEVIATION AND INSTITUTIONAL INVESTOR RECOGNITION: COMPLEX NETWORK-BASED AND GRAPH CLUSTERING ANALYSIS

    Liu, PeideLin, ChunyanLiu, Jia
    30页
    查看更多>>摘要：In this paper, the quantitative analysis is implemented on the relationship between strategy deviation of listed firms and institutional investors' recognition. For research methodology, financial complex networks and clustering techniques are employed to measure the de-gree of recognition by creating links to the common stockholding behaviour of institutional investors. Besides, quarterly panel data from 2006 to 2020 are constructed for an innovative study of the degree of recognition of institutional investors' strategy deviation of listed firms under different innovation fields, firm properties, and market style heterogeneity and asymmetry. The stability test is conducted by the transformation of the measures and methods, thereby effectively avoiding the "cluster fallacy". We validate the mechanism by which the differences in strategic choices and propensities of listed firms affect capital market recognition, and enrich the microscopic research perspective and methodology on related issues.
      原文链接:
    • NSTL
    • Vilnius Gediminas Tech Univ

    FINANCIAL DISTRESS PREDICTION: A NOVEL DATA SEGMENTATION RESEARCH ON CHINESE LISTED COMPANIES

    Zhu, Fang-JunZhou, Lu-JuanZhou, MiPei, Feng...
    34页
    查看更多>>摘要：In the Chinese stock market, the unique special treatment (ST) warning mechanism can signal financial distress for listed companies. In existing studies, classification model has been developed to differentiate the two general listing states. However, this classification model cannot explain the internal changes of each listing state. Considering that the requirement of the withdrawal of ST in the mechanism is relatively loose, we propose a new segmentation approach for Chinese listed companies, which are divided into negative companies and positive companies according to the number of times being labeled ST. Under the framework of data mining, we use financial indicators, non-financial indicators, and time series to build a financial distress prediction model of distinguishing the long-term development of different Chinese listed companies. Through data segmentation, we find that the negative samples have a huge destructive interference on the prediction effect of the total sample. On the contrary, positive companies improve the prediction accuracy in all aspects and the optimal feature set is also different from all companies. The main contribution of the paper is to analyze the internal impact of the deterioration of financial distress prediction in time series and construct an optimization model for positive companies.
      原文链接:
    • NSTL
    • Vilnius Gediminas Tech Univ

    A NOVEL DECISION-MAKING FRAMEWORK BASED ON PROBABILISTIC LINGUISTIC TERM SET FOR SELECTING SUSTAINABLE SUPPLIER CONSIDERING SOCIAL CREDIT

    Dong, YuanxiangZheng, XumeiXu, ZeshuiChen, Weijie...
    34页
    查看更多>>摘要：Sustainable supplier selection (SSS) has become an essential task for decision-makers in competitive environments. We construct a new decision-making framework for SSS. First, classical SSS usually includes fixed factors in environmental, social and economic dimensions. Differently, we adopt new social factors from credit perspective with corporate social credit system being promoted vigorously by the Chinese government. Next, we employ probabilistic linguistic term sets (PLTSs) to collect experts' judgments about interactive influence between factors. Third, we combine PLTSs with Decision Making Trial and Evaluation Laboratory (DEMATEL) method to identify critical success factors (CSFs) for improving decision-making efficiency. And we also give definition to relative importance degree, standard relative importance degree, deviation of importance degree and influence degree to reflect the interactive influence between factors. To eliminate subjective influence, we combine entropy weighting approach and DEMATEL to compute weights. Fourthly, we redefine dominance degree and apply it into TODIM method for SSS. Finally, the proposed decision-making framework's effectiveness is verified by using the case study of a new energy vehicle (NEV) company. Based on this, sensitivity analysis and comparison of methods are conducted. The results verify that the decision-making framework is valid and effective for SSS.
      原文链接:
    • NSTL
    • Vilnius Gediminas Tech Univ

    A NOVEL PERFORMANCE EVALUATION FRAMEWORK FOR NEW SERVICE DEVELOPMENT IN THE HEALTHCARE INDUSTRY USING HYBRID ISM AND ANP

    Heidary Dahooie, JalilMohammadi, NavidMeidute-Kavaliauskiene, IevaBinkyte-Veliene, Arune...
    28页
    查看更多>>摘要：Today, the innovative activities of companies in new service development (NSD) have an undeniable contribution to the economic development of countries. Given the recent advances in the healthcare industry, the issue of NSD and performance management of firms operating in this industry has received special attention of researchers and decision makers. A review of previous research shows that on the one hand there is no agreement among experts on NSD performance measurement criteria and on the other hand there has been no systematic framework that can measure and manage firm performance in this area. The proposed framework should allow for interaction between different decision makers, considering multiple and sometimes conflicting criteria. In this regard, this paper aimed to provide a framework to assess the NSD performance in healthcare industry using multiple-criteria-decision-making methods. The proposed model consists of 17 different criteria that have been identified and finalized based on previous studies as well as experts' opinions. Then, the indicators are classified with the help of experts in the form of a balanced scorecard model and presented as an initial model. Due to internal relationships between criteria, this model was evaluated using interpretive structural modelling and modelled at 5 different levels. Then, the analytic network process approach was applied to determine criteria weights. Finally, new service development performance in Moheb hospital was evaluated through the framework proposed here.
      原文链接:
    • NSTL
    • Vilnius Gediminas Tech Univ

    DO ECONOMIC GROWTH AND ENVIRONMENT QUALITY CONTRIBUTE TO TOURISM DEVELOPMENT IN EU COUNTRIES? A PANEL DATA ANALYSIS

    Simut, RamonaBadulescu, DanielMester, IoanaDzitac, Simona...
    30页
    查看更多>>摘要：The positive impact of the tourism industry on economic growth, revenues, infrastructure, employment, social inclusion and poverty reduction, although widely recognised, has been lately weighted against the appearance and exacerbation of several problems, such as: environmental footprint, increase of income inequality, cost increases related to solid waste collection, energy consumption, increased global CO2 emissions. On the other hand, the tourism sector is not just an active economic, societal, or environmental change agent; in turn, the tourism sector supports or is highly influenced by various factors, such as climate change, economic, political, or social factors. More recently, this industry has been highly impacted by the pandemic, technological developments and cultural trends. In this article we examined both the short and long-run relationship between tourism development and economic growth, CO2 emissions and energy consumption in European Union member states (EU27), by using the Principal Component Analysis (PCA) technique and autoregressive distributed lag (ARDL) model for panel data. The findings suggest that economic growth and energy consumption have a statistically significant impact on the tourism index both in the short and long-run, whereas CO2 emissions only have a significant impact upon the tourism index on the long run.
      原文链接:
    • NSTL
    • Vilnius Gediminas Tech Univ

    EXPLORING CONCOMITANT CONCEPTS IN THE DISCUSSION ON THE CIRCULAR ECONOMY: A BIBLIOMETRIC ANALYSIS OF WEB OF SCIENCE, SCOPUS AND TWITTER

    Mirzynska, AnnaKosch, OskarSchieg, MartinSuhajda, Karel...
    24页
    查看更多>>摘要：A growing interest in the circular economy, which is seen in the intensification of public discourse, could lead to a danger of blurring the concept and introducing inefficiency in implementing circular economy-based solutions. This study explores the trend in concomitant or accompanying concepts of the discussion about the circular economy themes understanding regarding scientific publications (3,486 publications from Web of Science and Scopus) and popular (non-scientific) domain (represented by 106,504 tweets) in the years 2011-2018. By employing text mining, we calculated the Jaccard similarity index divided into years. The results reveal changes over time in themes accompanying the circular economy discussion and a trend of rising recognition of research-related keywords in general public discussion, with unweighted similarity reaching 39.44% in 2018. Our Twitter keyword research perspective indicates the need to consider the consumer's role in the development of the circular economy - through keywords that are closely related to consumers' daily activities.
      原文链接:
    • NSTL
    • Vilnius Gediminas Tech Univ