Chinese Investment in Central and Eastern European Countries – A Study of Motivations

China has started to engage in the overseas investment to obtain maximized profit and improve the competitiveness from 1990s since the government supportted and encouraged enterprises to ‘go out’. Moreover, the financial crisis and EU sovereign debt crisis as a windows opportunity attract more and more Chinese investment. Therefore, it becomes a hot debate in accordance with the motivations in which factors drive the Chinese investment in central and eastern Europe. The different opinions between western and eastern Europeans are mainly collected and analysed. The paper is going to answer the question that the motivations of Chinese investment in CEE countries from both the perspective of China and CEE countries to test the political and economic implications

Game Study on Collusion in the First-price Sealed-bid Reverse Auction

Collusion between suppliers in reverse auctions may damage buyers’ benifits and then lower efficiency of resource allocation. Under first-price sealed-bid reverse auction mechanism, suppliers\u27 equilibrium bidding strategy and buyers\u27 revenue loss was analyzed considering collusion. Then some general conclusions were given: suppliers\u27 bidding strategy is relevant to some factors such as valuation costs, the number of suppliers and Cartel; the number of suppliers and Carter can lead to buyers revenue loss. Finally, considering two different kinds of distribution function, the strategies of improving buyer’s revenue were discussed

Institutional Perspective and Political Economic Analysis of Chinese Economic Engagement in CEE1 within the EU Framework

After the profound international political and economic change followed by financial crisis, the global power has shifted gradually from the West to the East. The rise of global protectionism, unilateralism and nationalism led by the US is constantly challenging the existing international systems. As a new rising power, China has made proactive efforts to exert its role in the international arena, and has started to show its ambitions in international relations with the “Belt and Road Initiative” in 2013, aiming to build the connectivity between China and Europe, two great players in global economy. In 2012, China took the initiative to establish the economic cooperation with Central and Eastern European (CEE) countries under “16+1” framework, as a sub-strategy of Belt and Road Initiative, which provoked a heated debate among Europe. The co-existence of economic interests and political concerns from China’s engagement in CEECs lead to the different responses from the EU member states. The questions remain that what are the responses from the EU institutions and its implications for the further China’s economic cooperation with the CEE

An Analysis of Population Return from the Perspective of Rural Urbanization

Coming up with the idea of new type of urbanization drives great changes of rural area. However, there hasn’t been high quality of rural urbanization compared with cities, which is becoming a weakness during the construction of urbanization. Therefore, it is very urgent to accelerate the construction of rural urbanization. Meanwhile, how to promote the development of rural area turns into a significant research field. Thus, as the main body of rural practical activities, human being becomes the developmental point of rural urbanization. The author puts forward the practical and theoretical policies via analyzing the influence factors “Push & Pull” about the reflux of rural population to promote the development of rural area and achieve the goal of rural urbanization, with supplementing the rational escalation of “Boosting” in cities and increasing the “Homesickness” of outflowing peasants

A bibliometric analysis of Economic Research-Ekonomska Istrazivanja (2007–2019)

Economic Research-Ekonomska Istrazivanja is an international journal in the research field of business and economics and firstly published in 2007. In this paper, we make a bibliometric analysis of publications in Economic Research-Ekonomska Istrazivanja from 2007 to 2019. According to Web of Science (WoS), we derive 831 publications in the journal after data pre-processing. First, we explore characteristics of publications and citations based on widely recognised bibliometric indicators. Second, we present the influential countries/regions and influential institutions of publications in the journal. Next, we illustrate science mapping analysis according to two visualisation tools that are VOS viewer and CiteSpace. Specifically, co-citation networks and co-authorship networks are conducted to analyse connection of items. We generate bust detection analysis to identify the emerging cited authors and cited journals. Co-occurrence analysis and timeline view analysis of keywords are developed to detect the hot topics and trend of the journal. Finally, we make some discussions about future challenges of the journal in terms of the above analysis. This paper helps in objectively understanding the development of Economic Research-Ekonomska Istrazivanja and provides a valuable reference for the scholars in business and economics

A hesitant fuzzy SMART method based on a new score function for information literacy assessment of teachers

As two powerful and flexible tools for decision-makers (DMs) to model the complex cognition, the hesitant fuzzy set (HFS) and hesitant fuzzy linguistic term set (HFLTS) allow DMs to express their opinions with several possible membership values or linguistic terms on the objects over each criterion. The aim of this article is to develop a novel score function of the HFS and HFLTS including hesitant degree and fuzzy degree information. For this purpose, the notion of fuzzy degree of the hesitant fuzzy element (HFE) and hesitant fuzzy linguistic element (HFLE) is introduced first. Then, considering both the hesitant degree and fuzzy degree information in expressions, the new score function, namely the Score-H&FD, is designed. Based on which, we extend the classical SMART (simple multi-attribute rating technique) method to the hesitant fuzzy environment. As a result, the hesitant fuzzy SMART (HF-SMART) method is developed in this article. Afterwards, we apply our proposed approach to assess and rank several teachers concerning information literacy. Finally, sensitive analysis and comparative analysis are carried out. The results show that the proposed method in this article has substantial advantages and applicability

The Effect of China’s Outward Foreign Direct Investment on the Economic Growth of the Visegrád Group [védés előtt]

The relationship between foreign direct investment and economic growth has been widely debated in the economic literature, but the results have been inconsistent and vary between the short and long run. As such, this study examines and provides additional quantitative evidence on the effect of China’s outward foreign direct investment (OFDI) on the economic growth of the Visegrád Group (V4), namely, the Czech Republic, Hungary, Poland, and Slovakia, both in short and long run, using annual data from 2004 to 2020. Various econometric models are employed to ensure the robustness of the findings, including panel-based Feasible Generalized Least Squares (FGLS), Pooled Ordinary Least Squares (POLS), Fixed Effects (FE), and Random Effects (RE); Markov-Switching Dynamic Regression (MSDR); Principal Component Analysis (PCA) and Cross-Sectional Autoregressive Distributed Lag model (CS ARDL). The novelty of this research is the acknowledgement of productive capacities as a moderating factor between China’s OFDI and economic growth of the V4 countries. The results show that FDI stimulates economic growth in both short and long run. Productive capacities index, as a moderating factor, is significant in explaining the relationship between China’s foreign direct investment and economic growth of the V4. Other macroeconomic factors also play an important role in explaining economic growth in V4. Long-run economic growth is driven by total factor productivity and trade openness, although trade openness is not significant in the short-run. MSDR model divides the V4’s economic growth into high growth state (state 1) and low growth state (state 2). This study has found that FDI can enhance economic growth of each V4 country in both state 1 and state 2, except in Czech Republic FDI is insignificant in state 1. MSDR model also estimates the transition probability of each country from one state to another and provides the expected duration of remaining in each state. The results reveal that the transition probability of remaining in state 2 is high and persistent in Czech Republic, Poland, and Slovakia, while it’s low in Hungary. In line with the transition probability, the expected duration of remaining in state 2 is longer than in state 1 in Czech Republic, Poland, and Slovakia, while it’s the other way around for Hungary. PCA model groups three components and the “the dimension of China’s OFDI” [pc1] is the main variable of interest and it consists of China’s OFDI, total factor productivity, fixed capital formation, trade openness, population growth, and producer price inflation. Quantile regression shows that pc1 has a positive and highly significant effect when real GDP growth is at its .50 and .75 percentile, and moderately significant at its .25 percentile. The findings of this study have significant implications for policymakers, investors and academic researchers. The results emphasise the importance of decision-making for government, investors, and investees to understand relationship between foreign direct investment and economic growth thoroughly. Therefore, policy recommendations are developed for V4 countries

A multidimensional decision with nested probabilistic linguistic term sets and its application in corporate investment

With the rapid development of information, decision making problems in various fields have presented multidimensional, complex and uncertain characteristics. Nested probabilistic-numerical linguistic term set (NPNLTS) is an effective tool to describe complex information due to the nested structure and diverse variables. This paper extends the concept of NPNLTS, and defines an improved form, i.e., nested probabilistic linguistic term set (NPLTS), and then proposes a novel VIKOR method with nested probabilistic linguistic information to solve the model. Within the context of empirical corporate finance, a case study related to corporate investment decision is presented and handled by the novel VIKOR method. After that, comparative analysis is carried out considering other decision-making methods, decision coefficient in VIKOR, and weights of attributes. As a result, the proposed method not only provides a rational and effective solution, but also reveals the rule in the case when decision coefficient and weights of attributes change, respectively. Finally, we discuss the proposed method from the theoretical and application aspects with a view to guiding future research. To a certain extent, this study provides a new decision environment to deal with multidimensional problems