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Tytuł:
Multiple Linear Regression Using Cholesky Decomposition
Autorzy:
Sumiati, Ira
Handoyo, Fiyan
Purwani, Sri
Powiązania:
https://bibliotekanauki.pl/articles/1031897.pdf
Data publikacji:
2020
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Cholesky decomposition
Multiple linear regression
covariance matrix
Opis:
Various real-world problem areas, such as engineering, physics, chemistry, biology, economics, social, and other problems can be modeled with mathematics to be more easily studied and done calculations. One mathematical model that is very well known and is often used to solve various problem areas in the real world is multiple linear regression. One of the stages of working on multiple linear regression models is the preparation of normal equations which is a system of linear equations using the least-squares method. If more independent variables are used, the more linear equations are obtained. So that other mathematical tools that can be used to simplify and help to solve the system of linear equations are matrices. Based on the properties and operations of the matrix, the linear equation system produces a symmetric covariance matrix. If the covariance matrix is also positive definite, then the Cholesky decomposition method can be used to solve the system of linear equations obtained through the least-squares method in multiple linear regression. Based on the background of the problem outlined, such that this paper aims to construct a multiple linear regression model using Cholesky decomposition. Then, the application is used in the numerical simulation and real case.
Źródło:
World Scientific News; 2020, 140; 12-25
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Leadership and project success in development sector
Autorzy:
Ahmed, Saghir
Abdullahi, Abdullahi M.
Powiązania:
https://bibliotekanauki.pl/articles/522535.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Development sector
Multiple linear regression
Project success
Opis:
Aim/purpose – The study aims to investigate the relationship among the leadership, operational efficiency and project success in general and the impact of transformational leadership and operational efficiency on project success in particular. Design/methodology/approach – Mean comparison from descriptive statistics and multiple linear regression from inferential statistics was used to determine the association between variables and further impact of the transformational leadership and operational efficiency on project success in the development sector. The paper presents the results of a survey conducted among 200 employees from the top, middle & lower management levels of various national & international development organizations working in Pakistan like Microfinance Banks and other Rural Support Programs. Statistical Package for Social Sciences (SPSS) was used to process data. Findings – The result shows positive association among transformational leadership, operational efficiency and project success. In addition, it was found that transformational leadership and operational efficiency have a positive and statistically significant impact on the project success. It is concluded that both transformational leadership and operational efficiency are vital to achieving the optimum level of success in any project, especially in the development sector. Research implications/limitations – The integral limitation of the study was the respondents because most of the development organizations have their operations in rural areas where access was difficult because of limited time and resources. In addition, such organizations are always reluctant to provide survey feedback. Originality/value/contribution – The paper contribution is in the theoretical and practical knowledge of the project success factors in the development sector which is still a somehow unexplored area. Regulators of the development sector may be benefited from this study.
Źródło:
Journal of Economics and Management; 2017, 30; 5-19
1732-1948
Pojawia się w:
Journal of Economics and Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of multiple linear regression (MLR) analysis for concentration of chromite tailings by the flotation
Autorzy:
Deniz, Vedat
Powiązania:
https://bibliotekanauki.pl/articles/1449296.pdf
Data publikacji:
2020
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
chromite
tailing
flotation
separation
multiple linear regression analysis
Opis:
In this study, the concentration of chromite minerals by amine flotation of a chromite tailing (slime) with content 23.84% Cr2O3 from Yeşilova-Burdur (Turkey) was investigated. In experimental studies, firstly, some operating parameters of the rougher flotation observed for a low-grade chromite tailing were investigated. Secondly, multiple linear regression (MLR) analyses were performed to determine the effects of some operating parameters on the performance of the rougher amine flotation. From the experimental results, multiple linear regression equations were developed to predict the recovery and grade of the chromite concentrate, and the regression coefficients between experimental and predicted values were found to be quite good (R2 values of 0.772 and 0.917, respectively). Additionally, it was found that the conditioning time and low pH value using $H_2SO_4$ showed an important effect on the recovery and the grade of the chromite concentrate.
Źródło:
Physicochemical Problems of Mineral Processing; 2020, 56, 4; 579-589
1643-1049
2084-4735
Pojawia się w:
Physicochemical Problems of Mineral Processing
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determination of soil infiltration rate equation based on soil properties using multiple linear regression
Autorzy:
Harisuseno, Donny
Cahya, Evi N.
Powiązania:
https://bibliotekanauki.pl/articles/1844413.pdf
Data publikacji:
2020
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
infiltration rate
model performance
multiple linear regression
soil property
Opis:
Infiltration process plays important role in water balance concept particularly in runoff analysis, groundwater recharged, and water conservation. Hence, increasing knowledge concerning infiltration process becomes essential for water manager to gain an effective solution to water resources problems. This study employed multiple linear regression for estimating infiltration rate where the soil properties used as the predictor variable and measured infiltration rate as the response variable. Field measurement was conducted at sixteen points to obtain infiltration rate using double ring infiltrometer and soil properties namely soil porosity, silt, clay, sand content, degree of saturation, and water content. The result showed that measured infiltration rate had an average initial infiltration rate (f0) of 6.92 mm∙min–1 and final infiltration rate (fc) of 1.49 mm∙min–1. Soil porosity and sand content showed a positive correlation with infiltration rate by 0.842, 0.639, respectively, while silt, clay, water content, and degree of saturation exhibited a negative correlation by –0.631, –0.743, –0.66 and –0.49, respectively. Three types of regression equations were established based on type of soil properties used as predictor variables. The model performance analysis was conducted for each equation and the result shows that the equation with five predictor variables fMLR_3 = – 62.014 + 1.142 soil porosity – 0.205 clay, – 0.063 sand – 0.301, silt + 0.07 soil water content with R2 (0.87) and Nash–Sutcliffe (0.998) gave the best result for estimating infiltration rate. The study found that soil porosity contributes mostly to the regression equation that indicates great influence in controlling soil infiltration behavior.
Źródło:
Journal of Water and Land Development; 2020, 47; 77-88
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Development of pedotransfer functions for predicting soil bulk density : a case study in Indonesian small island
Autorzy:
Yanti, Evi Dwi
Mulyono, Asep
Djuwansah, Muhammad Rahman
Narulita, Ida
Putra, Risandi Dwirama
Surinati, Dewi
Powiązania:
https://bibliotekanauki.pl/articles/2048512.pdf
Data publikacji:
2021
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
bulk density
multiple linear regression
pedotransfer function
soil property
Opis:
Unlike many other countries, tropical regions such as Indonesia still lack publications on pedotransfer functions (PTFs), particularly ones dedicated to the predicting of soil bulk density. Soil bulk density affects soil density, porosity, water holding capacity, drainage, and the stock and flux of nutrients in the soil. However, obtaining access to a laboratory is difficult, time-consuming, and costly. Therefore, it is necessary to utilise PTFs to estimate soil bulk density. This study aims to define soil properties related to soil bulk density, develop new PTFs using multiple linear regression (MLR), and evaluate the performance and accuracy of PTFs (new and existing). Seven existing PTFs were applied in this study. For the purposes of evaluation, Pearson’s correlation (r), mean error (ME), root mean square error (RMSE), and modelling efficiency (EF) were used. The study was conducted in five soil types on Bintan Island, Indonesia. Soil depth and organic carbon (SOC) are soil properties potentially relevant for soil bulk density prediction. The ME, RMSE, and EF values were lower for the newly developed PTFs than for existing PTFs. In summary, we concluded that the newly developed PTFs have higher accuracy than existing PTFs derived from literature. The prediction of soil bulk density will be more accurate if PTFs are applied directly in the area that is to be studied.
Źródło:
Journal of Water and Land Development; 2021, 51; 181-187
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Statistical yielding models of some irrigated vegetable crops in dependence on water use and heat supply
Autorzy:
Vozhehova, Raisa
Kokovikhin, Sergii
Lykhovyd, Pavlo V.
Balashova, Halyna
Lavrynenko, Yuriy
Biliaieva, Iryna
Markovska, Olena
Powiązania:
https://bibliotekanauki.pl/articles/292829.pdf
Data publikacji:
2020
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
linear model
multiple linear regression analysis
onion
potato
tomato
yield modelling
Opis:
Statistical analysis is helpful for better understanding of the processes which take place in agricultural ecosystems. Particular attention should be paid to the processes of crops’ productivity formation under the influence of natural and anthropogenic factors. The goal of our study was to provide new theoretical knowledge about the dependence of vegetable crops’ productivity on water supply and heat income. The study was conducted in the irrigated conditions of the semi-arid cold Steppe zone on the fields of the Institute of Irrigated Agriculture of NAAS, Kherson, Ukraine. We studied the historical data of productivity of three most common in the region vegetable crops: potato, tomato, onion. The crops were cultivated by using the generally accepted in the region agrotechnology. Historical yielding and meteorological data of the period 1990–2016 were used to develop the models of the vegetable crops’ productivity. We used two approaches: development of pair linear models in three categories (“yield – water use”, “yield – sum of the effective air temperatures above 10°C”); development of complex linear regression models taking into account such factors as total water use, and temperature regime during the crops’ vegetation. Pair linear models of the crops’ productivity showed that the highest effect on the yields of potato and onion has the water use index (R2 of 0.9350 and 0.9689, respectively), and on the yield of tomato – temperature regime (R2 of 0.9573). The results of pair analysis were proved by the multiple regression analysis that revealed the same tendencies in the crop yield formation depending on the studied factors.
Źródło:
Journal of Water and Land Development; 2020, 45; 190-197
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A method of calculation of ship resistance on calm water useful at preliminary stages of ship design
Autorzy:
Żelazny, K.
Powiązania:
https://bibliotekanauki.pl/articles/359058.pdf
Data publikacji:
2014
Wydawca:
Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:
approximate method of resistance calculation
bulk carrier
multiple linear regression
Opis:
During preliminary stages of ship design, decisions on ship properties are made only with little knowledge on ship hull geometry – a ship designer has only the basis dimensions at his disposal. Therefore on these initial stages of ship design, methods of calculation of ship properties (eg. resistance) on the basis of basic design criteria are indispensable. The article presents a new method of calculation of bulk carriers resistance which proves exact even with a minimum number of geometrical parameters of a ship’s hull.
Źródło:
Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2014, 38 (110); 125-130
1733-8670
2392-0378
Pojawia się w:
Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Integration of Overall Equipment Effectiveness and Six Sigma Approach to Minimize Product Defect and Machine Downtime
Autorzy:
Nurprihatin, Filscha
Rembulan, Glisina Dwinoor
Andry, Johanes Fernandes
Lubis, Maulidina
Widiwati, Ivana Tita Bella
Vaezi, Ali
Powiązania:
https://bibliotekanauki.pl/articles/27324207.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
overall equipment effectiveness
six sigma
multiple linear regression
DMAIC
packaging quality
Opis:
This study was conducted in a company that produces palm oil-based products such as cooking oil and margarine. The study aimed to encounter defects in packaging pouches. This study integrated the overall equipment effectiveness (OEE) with the six sigma DMAIC method. The OEE was performed to measure the efficiency of the machine. Three factors were measured in OEE: availability, performance, and quality. These factors were calculated and compared to the OEE world-class value. Then, the Multiple Linear Regression was performed using SPSS to determine the correlation between measurement variables toward the OEE value. Lastly, the six sigma method was implemented through the DMAIC approach to find the solution and improve the packaging quality. Supposing the recommendations are implemented, the OEE is expected to increase from 82% to 85%, with availability ratio, performance ratio, and quality ratio at, 99%, 86%, and 99.8%, respectively.
Źródło:
Management and Production Engineering Review; 2023, 14, 4; 71--91
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Applying the Wastewater Quality Index for Assessing the Effluent Quality of Recently Upgraded Meet Abo El-koum Wastewater Treatment Plant
Autorzy:
Ayoub, Mohamed
El-Morsy, Ahmed
Powiązania:
https://bibliotekanauki.pl/articles/1838434.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
assessment
evaluation
multiple linear regression
quality
wastewater
WWTP
wastewater treatment plant
Opis:
The wastewater quality index (WWQI) can be defined as a single value, which reflects the overall wastewater quality related to its input constituent parameters. The major objective of the present study was to investigate the suitability of the effluent quality from Meet Abo El-koum wastewater treatment plant in Egypt for safe disposal based on the wastewater quality index approach. Moreover, statistical analysis was applied to develop a simple model using multiple linear regression (MLR) for accurate prediction of WWQI depending on different wastewater quality parameters. The results indicate good quality of the treated wastewater for safe disposal in general. Moreover, it is apparent that about 17% of the WWQI values reached excellent quality referring to the classification of the WWQI levels. For greater simplicity, a relationship between BOD5 and COD was deduced using linear regression, so that the results of the BOD5 analyses that appear after five days can be skipped. This approximation can be used to calculate WWQI on a specific day given the results of the treated wastewater analyses on that day.
Źródło:
Journal of Ecological Engineering; 2021, 22, 2; 128-133
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The reasons of the regional differences of agricultural land prices - Hungarian case study from Hungary
Powody regionalnego zróżnicowania cen ziemi rolniczej - studium przypadku Węgier
Autorzy:
Fekete-Farkas, M.
Toth-Naar, Z.
Baranyai, Z.
Szucs, I.
Vinogradov, S.A.
Powiązania:
https://bibliotekanauki.pl/articles/866227.pdf
Data publikacji:
2013
Wydawca:
The Polish Association of Agricultural and Agribusiness Economists
Tematy:
reason
regional differentiation
agricultural land
land price
multiple linear regression
Hungary
Opis:
Agricultural land market in Hungary is in process of development, the prices of land is times lower compared to land prices in old member states of the EU. Because of their lower income Hungarian nationals do not have substantial possibilities to acquire ownership over land like nationals of the old member states of the EU. In order to preserve the agricultural sector from shocks that might arise from the differences in land prices and income with the rest of EU, Hungary as the others Central and Eastern European new member states countries (the Czech Republic, Estonia, Latvia, Lithuania, Poland and Slovakia) during the accession negotiations in 2003 was granted the possibility to maintain existing national provisions restricting the acquisition of agricultural land or forests. Based on the data provided by the Hungarian Farm Accountancy Data Network and by the Hungarian Central Statistic Office the authors examined the specific impacts of factors influencing on arable land prices.
Na podstawie danych z węgierskiego FADN i Centralnego Biura Statystycznego zbadano szczegółowe oddziaływanie czynników wpływających na ceny gruntów ornych w różnych regionach Węgier. W badaniach prowadzonych przy pomocy analizy regresji wielokrotnej wykazano, że na ceny gruntów ornych wpływają różne czynniki, w zależności od regionu Węgier.
Źródło:
Roczniki Naukowe Stowarzyszenia Ekonomistów Rolnictwa i Agrobiznesu; 2013, 15, 1
1508-3535
2450-7296
Pojawia się w:
Roczniki Naukowe Stowarzyszenia Ekonomistów Rolnictwa i Agrobiznesu
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Life Factor Approach to the Yield Prediction: a Comparison with a Technological Approach in Reliability and Accuracy
Autorzy:
Lykhovyd, Pavlo
Powiązania:
https://bibliotekanauki.pl/articles/124852.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
artificial neural network
life factor
multiple linear regression
technological factor
yield modelling
Opis:
There are a number of various approaches to the development of yield predictive models in agriculture. One of the most popular ones is based on the yield modeling from the parameters of crop cultivation technology. However, there is another view on the yield prediction models, which is based on the use of life factors as yielding parameters. Our study is devoted to the comparison of a conventional technological approach to the yield prediction with a less prevalent approach of life factor based yield modeling. The testing of two approaches was performed by using the yielding data of sweet corn cultivated in the field trials under the drip-irrigated conditions of the Southern Ukraine, under the different technological treatments, viz. plowing depth, nutrition, and crop density. We developed two multiple linear regression models to compare their efficiency in the yielding predictions. One of the models used cultivation technology parameters as the inputs while the other used life factors as the inputs. Life factors were expressed in numeric values by using the following converter: total water consumption of the crop was used as the factor of water, the total sum of positive temperatures was used as the factor of heat, and the total sum of the main nutrients (NPK) available in the soil was used as the factor of nutrition. The results of the study proved an equal accuracy and reliability of the studied models of sweet corn yields, which is obvious from the values of RSQ. RSQ of the both studied regression models was 0.897. However, additional check of the modeling approaches applied in the feed-forward artificial neural network showed that the life factor based model with the RSQ value of 0.953 provided better yield predictions than the technologically based model with the RSQ value of 0.913. Therefore, we concluded that the life factor approach should be preferred to the technological approach in the development of yield predictive models for agriculture.
Źródło:
Journal of Ecological Engineering; 2019, 20, 6; 177-183
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Relationships between selected traits in maize (Zea mays L.). Part 2. Multiple linear regression
Współzależność pomiędzy wybranymi cechami kukurydzy (Zea mays L.). Cz. 2. Liniowa regresja wielokrotna
Autorzy:
Bocianowski, Jan
Cyplik, Adrian
Szulc, Piotr
Kobus-Cisowska, Joanna
Powiązania:
https://bibliotekanauki.pl/articles/336819.pdf
Data publikacji:
2019
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Maszyn Rolniczych
Tematy:
maize
multiple linear regression
grain yield
kukurydza
liniowa regresja wielokrotna
plon ziarna
Opis:
The study comprised of 13 maize cultivars, evaluated at two years in a randomized complete block design, with four replicates. To assess the quantitative impact of individual traits on the grain yield the multiple regression analysis was used. We observed grain yield and seven quantitative traits: SPAD, length of ears, number of kernels in row, damage of maize caused by P. nubilalis, infection of maize by Fusarium spp., number of ears and content of chlorophyll a.
Badanie obejmowało 13 odmian kukurydzy, analizowanych w dwóch latach w doświadczeniach polowych, w układzie bloków losowanych kompletnych, w czterech powtórzeniach. Do oceny wpływu poszczególnych cech ilościowych na plon ziarna zastosowano analizę funkcji regresji wielokrotnej. Obserwowano plon ziarna i siedem cech ilościowych: SPAD, długość kolby, liczba ziaren w rzędzie, procent roślin uszkodzonych przez P. nubilalis, porażenie przez Fusarium, liczba kolb oraz zawartość chlorofilu a.
Źródło:
Journal of Research and Applications in Agricultural Engineering; 2019, 64, 3; 15-19
1642-686X
2719-423X
Pojawia się w:
Journal of Research and Applications in Agricultural Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predicting the properties of corrugated base papers using multiple linear regression and artificial neural networks
Autorzy:
Adamopoulos, S
Karageorgos, A.
Rapti, E.
Birbilis, D.
Powiązania:
https://bibliotekanauki.pl/articles/52433.pdf
Data publikacji:
2016
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Technologii Drewna
Tematy:
prediction
paper property
multiple linear regression
artificial neural network
linerboard
recovered fibre
Źródło:
Drewno. Prace Naukowe. Doniesienia. Komunikaty; 2016, 59, 198
1644-3985
Pojawia się w:
Drewno. Prace Naukowe. Doniesienia. Komunikaty
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Micro-EDM process modeling and machining approaches for minimum tool electrode wear for fabrication of biocompatible micro-components
Autorzy:
Puthumana, G.
Powiązania:
https://bibliotekanauki.pl/articles/99444.pdf
Data publikacji:
2017
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
biocompatibility
microdevice
electrical discharge machining
modeling
multiple linear regression
artificial neural networks
Opis:
Micro-electrical discharge machining (micro-EDM) is a potential non-contact method for fabrication of biocompatible micro devices. This paper presents an attempt to model the tool electrode wear in micro-EDM process using multiple linear regression analysis (MLRA) and artificial neural networks (ANN).The governing micro-EDM factors chosen for this investigation were: voltage (V), current (I), pulse on time (Ton) and pulse frequency (f). The proposed predictive models generate a functional correlation between the tool electrode wear rate (TWR) and the governing micro-EDM factors. A multiple linear regression model was developed for prediction of TWR in ten steps at a significance level of 90%. The optimum architecture of the ANN was obtained with 7 hidden layers at an R-sq value of 0.98. The predicted values of TWR using ANN matched well with the practically measured and calculated values of TWR. Based on the proposed soft computing-based approach towards biocompatible micro device fabrication, a condition for the minimum tool electrode wear rate (TWR) was achieved.
Źródło:
Journal of Machine Engineering; 2017, 17, 3; 97-111
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The evaluation of competitive position of EU-28 economies with using global multi-criteria indices
Autorzy:
Kiseľáková, Dana
Šofranková, Beáta
Onuferová, Erika
Čabinová, Veronika
Powiązania:
https://bibliotekanauki.pl/articles/22446406.pdf
Data publikacji:
2019
Wydawca:
Instytut Badań Gospodarczych
Tematy:
Global Competitiveness Index
multi-criteria indices
EU-28 economies
multiple linear regression analyses
Opis:
Research background: Under the current conditions of increasing competitiveness and interdependence, national economies are more influenced by the global business environment and its development. Constantly changing economic, social, political aspects, and many other factors, cause the differences in the global competitiveness of economies, so the economies are forced to analyze their competitive level more complexly. Despite that, there is a lack of research studies analyzing the international competitiveness of EU-28 economies from the point of view various multi-criteria indices. Purpose of the article: The paper investigates the relations between the Global Competitiveness Index (GCI) and other selected multi-criteria indices, namely the Global Innovation Index (GII), the Doing Business Index (DBI), the Economic Freedom Index (EFI) and the Corruption Perceptions Index (CPI) in the case of EU?28 economies. Methods: In order to investigate the relations between the global competitiveness and selected multi-criteria indices affecting the EU?28 economies, the multiple linear regression analyses were applied. The multiple regression model was quantified for every single year, as well as, the regression model using the average score of all analyzed indices. The secondary data concerning the scores of individual indices were collected based on annually published online reports over the period of 2014?2018. Findings & Value added: The research confirmed that there is a statistically significant dependence between the global competitiveness, corruption and the level of innovation potential within the EU?28 economies. Besides, we identified the worst results in the context of competitiveness evaluation especially in the area of corruption and innovation activities. In this regard, the issue of insufficient innovation development and inappropriate corruption perception is considered to be key determinants influencing the assessment of the global competitiveness of the EU?28 member states. In our opinion, to improve the competitiveness of these countries, targeted activities should be implemented in the frame of national competitive strategies, programs, and policies.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2019, 14, 3; 441-462
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
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