scholarly journals Global Competitiveness of Europe: A Robust Assessment

2018 ◽  
Vol 9 (4) ◽  
pp. 245-260
Author(s):  
Elena Fifeková ◽  
Eduard Nežinský ◽  
Edita Nemcová
Keyword(s):  
Principal Component Analysis ◽  
Performance Indicator ◽  
Principal Component ◽  
Central Issue ◽  
Innovation Activity ◽  
General Measure ◽  
Global Competitiveness ◽  
Global Competitiveness Index ◽  
Per Capita ◽  
Ccr Model

Abstract National (global) competitiveness became the central issue during the global crisis. Using the values of the three main subdimensions of the Global Competitiveness Index, we propose alternative DEA-based competitiveness indicators. In our approach, the index is nested in the more general measure of the competitiveness-given-performance indicator. We find that globally competitive European countries do not transform competitiveness into income per capita efficiently. Decomposition of the scores suggests that most of the relative inefficiency concentrates in innovation activity. The results proved robust against the CCR model used in previous research as well as principal component analysis.

scholarly journals PRINCIPAL COMPONENT ANALYSIS BIPLOT GLOBAL COMPETITIVENESS INDEX ASEAN COUNTRIES

2021 ◽  
Vol 14 (2) ◽  
pp. 93
Author(s):  
Lina Sari ◽  
Pardomuan Robinson Sihombing
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Economic Interests ◽  
Global Competitiveness ◽  
The Face ◽  
Global Competitiveness Index ◽  
Competitiveness Index ◽  
Asean Countries ◽  
State Enterprises

ASEAN's global competitiveness requires institutional and ASEAN countries appear to be a formidable economic actors in protecting the economic interests and at the same time having an open economic system that indicates the readiness of ASEAN to compete with the economic strength of the entire region in the world. In this case the measurement of global competitiveness factors become important aspects of state enterprises in the face of global competition. This study was conducted to determine how competitive the ASEAN countries with Biplot method of Principal Component Analysis. Results obtained from this study is the ASEAN countries have different advantages in each of the variables related to the global competitiveness index. In addition, the diversity of which can be explained more than 70% which is 90.69% which means that Principal Component Analysis Biplot describes well the overall total

Does Enhancing of the Competitiveness Influence on Foreign Direct Investments in Western Balkan Countries?

2016 ◽  
Vol 1 (2) ◽  
pp. 164 ◽  
Author(s):  
Matea Zlatković
Keyword(s):  
Market Efficiency ◽  
Foreign Direct Investments ◽  
Global Competitiveness ◽  
Technological Readiness ◽  
Regional Market ◽  
National Competitiveness ◽  
Good Market ◽  
World Economic ◽  
Global Competitiveness Index ◽  
Per Capita

Foreign direct investments present a valuable source of national competitiveness as they have attributes of capital flows provide knowledge and technology transfer from one country to target country. In this paper are used variables defined by World Economic Forum which construct Global Competitiveness Index for assessing competitiveness of the country. The purpose of the research is to examine does the national competitiveness increase enhance the level of FDI flows in transition Western Balkan economies that are not yet full members of European Union. The findings claim that larger increase in FDI per capita stocks in majority analyzed countries would have if making infrastructure more competitiveness, accelerate their technological readiness and improve innovation while certain countries should work on health and primary education and higher education and training. According to the results, there is no correlation between FDI flows and macroeconomic environment, institutions, development of financial markets, good market efficiency, labor market efficiency and business sophistication. Applying benchmark method, it is established the most competitive WB country as benchmark value for other transition countries in its neighborhood for enhancing their competitiveness, specially in the regional market. Also, it is obtained what if analysis to detect potential rise of FDI per capita stocks as a consequence of potential changes in some competitiveness variables. It is also calculated the potential increase in FDI/capita due to similar changes in different competitiveness variables.

The Quantitative Evaluation on the Response of Climate Change upon the Sustainability of the Agricultural Production

2010 ◽  
Vol 129-131 ◽  
pp. 1161-1165
Author(s):  
Lin Chun Hou ◽  
Hui Qin Li
Keyword(s):  
Climate Change ◽  
Principal Component Analysis ◽  
Linear Regression ◽  
Agricultural Production ◽  
Agricultural Productivity ◽  
Principal Component ◽  
Environmental Condition ◽  
Land Utilization ◽  
Agricultural Society ◽  
Per Capita

The aim: quantitatively evaluate the response of climate change upon the sustainability of the agricultural production. The method: the paper selected two regions (Hubei and shan’xi province) which represented different climate environment, utilized modern statistic data, Principal Component Analysis and multivariate linear regression to quantitatively evaluate the influence of climate change upon agricultural production through isolating climate environment from arable area, land utilization and management and landform and so on. The conclusion: The study indicated that when environmental condition turned good to agriculture, the function of environmental condition to agriculture relatively decreased; the capability of agricultural society and production decreased too, and people could select the land to cultivate, where agricultural productivity is higher. And that when environmental condition turned bad to agriculture, the function of environmental condition to agriculture relatively increased; the capability of agricultural society and production increased, too; people could not put emphasis on the land where agricultural productivity is higher, whereas focused on productivity per capita.

scholarly journals Evaluation Methods of Water Environment Safety and Their Application to the Three Northeast Provinces of China

2019 ◽  
Vol 11 (18) ◽  
pp. 5135 ◽  
Author(s):  
Li ◽  
Sun ◽  
Yuan ◽  
Liu
Keyword(s):  
Principal Component Analysis ◽  
Water Resources ◽  
Chemical Oxygen Demand ◽  
Water Environment ◽  
Oxygen Demand ◽  
Principal Component ◽  
Component Analysis ◽  
Analysis Method ◽  
Industry Output ◽  
Per Capita

Focusing on the topic of water environment safety of China, this paper has selected the three northeast provinces of China as the research object due to their representativeness in economic development and resource security. By using the Entropy Weight Method, the Grey Correlation Analysis Method, and the Principal Component Analysis Method, this paper has first constructed a water environment safety evaluation system with 17 indicators from the economic, environmental, and ecological aspects. Furthermore, this paper has screened the initially selected indicators by the Principal Component Analysis Method and finally determined 11 indicators as the evaluation indicators. After indicator screening, this paper has adopted the improved Fuzzy Comprehensive Evaluation Method to evaluate the water environment safety of the three northeast provinces of China and obtained the change in water environment safety of different provinces from 2009 to 2017. The results show that the overall water environment safety of the region had improved first but worsened afterward, and that in terms of water safety level, Jilin Province ranked first, followed by Heilongjiang Province and Liaoning Province. The three factors that have the greatest impact on the water environment safety of the three provinces are: Liaoning—Chemical Oxygen Demand (score: 17.10), Per Capita Disposable Income (score: 13.50), and Secondary Industry Output (score: 11.50); Heilongjiang—Chemical Oxygen Demand (score: 18.64), Per Capita Water Resources (score: 12.75), and Concentration of Inhalable Particles (score: 10.89); Jilin—Per Capita Water Resources (score: 15.75), Chemical Oxygen Demand (score: 14.87), and Service Industry Output (score: 11.55). Based on analysis of the evaluation results, this paper has proposed corresponding policy recommendations to improve the water environment safety and promote sustainable development in the northeast provinces of China.

scholarly journals Study of Stationary Load Increase of Computer-Network Traffic via Dynamic Principal-Component Analysis

2012 ◽  
Vol 2012 ◽  
pp. 1-10
Author(s):  
Shengkun Xie ◽  
Anna T. Lawniczak
Keyword(s):  
Principal Component Analysis ◽  
Network Traffic ◽  
Performance Indicator ◽  
Principal Component ◽  
Component Analysis ◽  
Switching Network ◽  
Traffic Data ◽  
Load Increase ◽  
Dynamic Principal Component Analysis ◽  
Detection Schemes

Many network monitoring applications and performance analysis tools are based on the study of an aggregate measure of network traffic, for example, number of packets in transit (NPT). The simulation modeling and analysis of this type of performance indicator enables a theoretical investigation of the underlying complex system through different combination of network setups such as routing algorithms, network source loads or network topologies. To detect stationary increase of network source load, we propose a dynamic principal component analysis (PCA) method, first to extract data features and then to detect a stationary load increase. The proposed detection schemes are based on either the major or the minor principal components of network traffic data. To demonstrate the applications of the proposed method, we first applied them to some synthetic data and then to network traffic data simulated from the packet switching network (PSN) model. The proposed detection schemes, based on dynamic PCA, show enhanced performance in detecting an increase of network load for the simulated network traffic data. These results show usefulness of a new feature extraction method based on dynamic PCA that creates additional feature variables for event detection in a univariate time series.

scholarly journals Inovacijų vystymo prioritetai Ukrainos įmonėse

2014 ◽  
Vol 68 ◽  
pp. 7-22
Author(s):  
Olga Miroshnychenko
Keyword(s):  
Competitive Advantage ◽  
National Economy ◽  
Innovation Activity ◽  
Innovation Development ◽  
Global Competitiveness ◽  
Eu Member States ◽  
Innovation Potential ◽  
Global Competitiveness Index ◽  
Key Aspects ◽  
The Eu

Straipsnyje pateikiama kategorijos „inovacija“ traktuotė ir apibūdinami inovacijų tipai. Inovacijos yra esminis veiksnys, lemiantis nacionalinės ekonomikos konkurencingumą, šiuolaikinių įmonių konkurencinį pranašumą. Straipsnis apima Ukrainos įmonių inovacinio potencialo tyrimo rezultatus, inovatyvios veiklos Ukrainoje rodiklius ir jų lyginamąją analizę su Europos Sąjungos šalimis; aptariama inovatyvių įmonių dalis, inovatyvių įmonių santykis pagal inovacijų tipus, inovacinės veiklos išlaidų struktūra. Pateikiamas Ukrainos reitingas pagal globalaus konkurencingumo indekso ir inovacijų indekso dedamąsias. Aptariami esminiai Ukrainos įmonių inovacijų vystymo aspektai. Priorities for innovation development of Ukrainian enterprisesOlga Miroshnychenko SummaryThe definitions of the category “innovation” and types of innovation are being considered in the article. Innovations are crucial for the competiveness of a national economy. Today, they are the main competitive advantage of modern enterprises. A research of the innovation potential of Ukrainian enterprises has been done. The paper includes indicators of innovation activity in Ukraine and their comparison with those of the EU member states: proportion of innovative enterprises, share of enterprises with adopted innovations by the type of innovation, expenditures on research and development. The international position of Ukraine by elements of the Global Competitiveness Index, the sub-index of innovation and its elements has been considered. The paper answers the question of the key aspects of innovation development of Ukrainian enterprises.Key words: innovations, innovation activity, innovation potential, enterprise, Ukraine

scholarly journals Empreendedorismo, competitividade e crescimento econômico: evidências empíricas

2010 ◽  
Vol 14 (6) ◽  
pp. 1094-1112 ◽  
Author(s):  
Raimundo Eduardo Silveira Fontenele
Keyword(s):  
Global Competitiveness ◽  
Global Competitiveness Index ◽  
Per Capita ◽  
Competitiveness Index

Apesar do crescente interesse pelo empreendedorismo, existe uma lacuna no que se refere à existência de análises de sua relação com o crescimento econômico e com a competitividade. O objetivo deste estudo é analisar a taxa de empreendedorismo total, medida pelo GEM, avaliando-se quais as variáveis que possuem maior relevância na explicação do empreendedorismo. A pesquisa investigou, em caráter exploratório, a influência da renda per capita e de variáveis macroeconômicas e microeconômicas definidas no Global Competitiveness Index [GCI] na Taxa de Empreendedorismo Total dos países pesquisados pelo GEM. Para atingir tal fim, essa pesquisa utilizou uma amostra de 64 países, com dados transversais referentes ao ano de 2007; foram construídos dois modelos econométricos, utilizando-se, na estimativa das equações, o Método de Mínimos Quadrados. Os resultados encontrados indicam que a relação entre empreendedorismo e níveis de renda segue o padrão da curva U. Por outro lado, embora vários autores identifiquem que fatores de competitividade são importantes para o desenvolvimento do empreendedorismo, a pesquisa não chegou à mesma conclusão. O estudo aponta que esses aspectos parecem atuar em direção contrária à promoção do empreendedorismo nos países menos ricos, e de maneira insignificante nos países mais ricos.

The Comprehensive Evaluation on Financial Performance of the Ceramic Company Based on Principal Component Analysis

2012 ◽  
Vol 512-515 ◽  
pp. 1098-1102 ◽  
Author(s):  
Bao Cheng He ◽  
Hong Tao Jiang
Keyword(s):  
Principal Component Analysis ◽  
Financial Performance ◽  
Performance Indicator ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Component Analysis ◽  
Indicator System ◽  
Financial Report ◽  
Components Method ◽  
The Impact

The ceramic company financial performance indicator has multilayers, many dimensions and intersect characters, and the comprehensive evaluation on it is a big challenge. Firstly, this paper introduces principal component analysis theory and tool. Secondly, it constructs the four-dimensional evaluating indicator system based on “debt-paying ability, operation capability, profitability, and development capability”. In the end, based on the financial report data, this paper conducts an empirical principal component analysis on 20 typical ceramic enterprises’ financial performance. The conclusion is that the ceramic business finance performance is mainly decided by four greatest factors including “debt-paying ability, profitability, efficiency, development” and the impact of the four greatest factors upon the finance performance degree is different. This research’s innovation lies in using the principal components method to give the weight to the evaluating indicators objectively, providing not only the new tool for the ceramic enterprise financial performance assessment method’s evolution, but also the new mentality for the ceramic enterprise financial performance’s improvement.

Analysis on the Change of Arable Land Area and its Driving Force in Hefei City

2013 ◽  
Vol 726-731 ◽  
pp. 4879-4882
Author(s):  
Hong Mei Zhang ◽  
Yang Gao
Keyword(s):  
Principal Component Analysis ◽  
Driving Forces ◽  
Arable Land ◽  
Principal Component ◽  
Component Analysis ◽  
Land Resource ◽  
Cultivated Land ◽  
Land Change ◽  
Land Area ◽  
Per Capita

In recent years, the decrease of total arable land area and the area per capita of available arable land resource are serious problems in China. These problems will become more serious with the development of economy. In this paper, based on the statistical data of cultivated land in Hefei city from 1998 to 2009, their driving forces of the cultivated land change were analyzed by means of principal component analysis. The results showed the changing trends. The total and per capita of cultivated land were declining, but the speed of change was not the same. The sharp decrease was occurred in the period of 2002-2005. Nine affecting factors having influenced on cultivated land change which were analyzed by principal component analysis. The results show that population growth, economic development and efficiency of agricultural production were main driving forces affecting cultivated land change in Hefei city.

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