scholarly journals Trust and socio-economic indicators: model including religion factor

2018 ◽  
Keyword(s):  
Neural Network ◽  
Correlation Analysis ◽  
Interpersonal Trust ◽  
Economic Indicators ◽  
Gdp Per Capita ◽  
General Index ◽  
The Neural Network ◽  
Per Capita ◽  
The Relationship ◽  
Working Hypotheses

The article is concerned with the following issues: definitions, indicators of trust were reviewed; the working hypotheses of the research were formed; the choice of factors related to the trust indices was made; cluster analysis of the relationship between individual trust indices and economic indicators was carried out; a correlation analysis of the relationship between individual trust indices and socio-cultural indicators was conducted; a neural network for modeling the general index of trust based on a well-founded set of economic and socio-cultural indicators was developed. The hypothesis about the influence of socio-cultural factors on trust and out of which there was distinguished a relation to a specific religion. By means of correlation analysis and neural networks, it was shown that Protestantism and Catholicism are the most significant religions that affect the general index of interpersonal trust. However, atheism has a more significant impact. Following 198 observations, each of which represented the country for a given year in the period from 1995 to 2014, the neural network produced satisfactory results in forecasting the total trust index on the basis of the following factors: GDP per capita, GINI coefficient, atheism (percentage of population, support such an attitude to religion). The neural network recognized 89.9% of the data and 90% of the test set indicating that the network got adjusted and could be used for modeling. The scatter diagram for a 5% error indicates that most of the data is within the required value. But it should be noted, that the model overestimates trust in Ukraine at the end of the analyzed period. This gives grounds for the assumption that in Ukraine there are additional factors that negatively affect interpersonal trust.

scholarly journals Longitudinal Association of Economic Growth with Lung Function of Chinese Children and Adolescents over 30 Years: Evidence from Seven Successive National Surveys

2021 ◽  
Vol 18 (12) ◽  
pp. 6592
Author(s):  
Xiaomei Gan ◽  
Kehong Yu ◽  
Xu Wen ◽  
Yijuan Lu
Keyword(s):  
Economic Growth ◽  
Lung Function ◽  
Children And Adolescents ◽  
Economic Indicators ◽  
Gdp Per Capita ◽  
National Surveys ◽  
Longitudinal Association ◽  
Per Capita ◽  
The Relationship ◽  
Chinese Children And Adolescents

(1) Background: Recent studies reported that decrease in lung function of Chinese children and adolescents continues to decline, although the change has been insignificant and has reached a plateau. However, studies have not explored the relationship between lung function and economic development in China. This study sought to explore the longitudinal association between socio-economic indicators and lung function; (2) Method: Data were obtained from seven successive national surveys conducted by the Chinese National Survey on Students’ Constitution and Health from 1985 to 2014. Lung function of school-age children (7–22 years) was determined using forced vital capacity (FVC). GDP per capita and urbanization ratio were used as economic indicators. A fixed-effects model was employed to examine the longitudinal association after adjusting for height, weight, and time trends; (3) Results: Socio-economic indicators showed a U-curve relationship with lung function of boys and girls from urban and rural areas. Lung function initially decreased with GDP per capita or urbanization ratio and reached a minimum. Lung function then increased with increase in GDP per capita or urbanization ratio. The findings indicate that the relationship between economic growth and lung function is different in different development stages. In less-developed provinces, economic growth was negatively correlated with lung function, whereas, in developed provinces, economic growth was positively correlated with lung function; (4) Conclusion: The findings of the current study show that economic growth has significantly different effects on lung function at different economic levels. Therefore, governments should improve lung health in children and adolescents from low and middle economic regions.

scholarly journals ANALYSIS OF SOME SOCIO-ECONOMIC INDICATORS OF DEVELOPING COUNTRIES

PRIMO ASPECTU ◽  
2021 ◽  
pp. 51-57
Author(s):  
Aleksey B. SIMONOV ◽  
Irina E. SIMONOVA ◽  
Ilya O. BORODIN ◽  
Polina V. ZAYCHENKO
Keyword(s):  
Developing Countries ◽  
Life Expectancy ◽  
Regression Model ◽  
Economic Indicators ◽  
Gdp Per Capita ◽  
Statistical Research ◽  
Per Capita ◽  
The Relationship

The article analyzes the main socio-economic indicators of developing countries: life expectancy and GDP per capita. On the basis of the conducted statistical research, a regression model has been built that describes the relationship between these indicators. The dynamics of the growth of life expectancy in developing countries is analyzed. The features of the behavior of these indicators for certain groups of countries are revealed.

The relationship between energy consumption and economic growth: New evidence from Greece

2021 ◽  
pp. 131-153
Author(s):  
Antonia Gkergki
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Gdp Per Capita ◽  
Short Term ◽  
Vector Error Correction ◽  
Per Capita ◽  
Econometric Tests ◽  
The Government ◽  
New Research ◽  
The Relationship

This paper examines the relationship between the energy consumption and economic growth from 1968 to 2019 in Greece, by employing the vector error-correction model estimation. A series of econometric tests are employed concerning the stationary of the data, and the co-integration and the relationship among the variables during the long- and short-term. The em-pirical results suggest that there is no bidirectional relationship between economic growth and energy consumption. More specifically, GDP per capita does not affect the energy consump-tion of the three primary sources either in the long-term or the short-term. In other words, the economic crisis and its implications for GDP do not affect energy consumption, and they are not responsible for the considerable decrease in energy sources' consumption. On the other hand, the energy consumption of oil and coal negatively affect the GDP per capita. These re-sults are different from previous studies' conclusions for Greece; this is because the never been experienced before. These findings raise new research questions and also show the limi-tations of the Greek market, as it is regulated and controlled by the government.

scholarly journals Does the Credit Cycle Have an Impact on Happiness?

2019 ◽  
Vol 17 (1) ◽  
pp. 183 ◽  
Author(s):  
Tinghui Li ◽  
Junhao Zhong ◽  
Mark Xu
Keyword(s):  
Fixed Effects ◽  
Well Being ◽  
Gdp Per Capita ◽  
Subjective Well Being ◽  
Fixed Effects Model ◽  
Credit Expansion ◽  
Transmission Channels ◽  
Credit Cycle ◽  
Per Capita ◽  
The Relationship

The 2008 international financial crisis triggered a heated discussion of the relationship between public health and the economic environment. We test the relationship between the credit cycle and happiness using the fixed effects model and explore the transmission channels between them by adding the moderating effect. The results show the following empirical regularities. First, the credit cycle has a negative correlation with happiness. This means that credit growth will reduce the overall happiness score in a country/region. Second, the transmission channels between the credit cycle and happiness are different during credit expansion and recession. Life expectancy and generosity can moderate the relationship between the credit cycle and happiness only during credit expansion. GDP per capita can moderate this relationship only during credit recession. Social support, freedom, and positive affect can moderate this relationship throughout the credit cycle. Third, the total impact of the credit cycle on happiness will become positive by the changes in the moderating effects. In general, we can improve subjective well-being if one of the following five conditions holds: (1) with the adequate support from the family and society, (2) with enough freedom, (3) with social generosity, (4) with a positive and optimistic outlook, and (5) with a high level of GDP per capita.

scholarly journals Study on process of chemical fiber filament automatic doffing system based on simulation platform and machine learning

2021 ◽  
Vol 16 ◽  
pp. 155892502110548
Author(s):  
Hongxin Zhu ◽  
Kun Zou ◽  
Wenlan Bao
Keyword(s):  
Neural Network ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Production Line ◽  
Simulation Platform ◽  
Chemical Fiber ◽  
Production Lines ◽  
The Neural Network ◽  
Spss Software ◽  
The Relationship

In recent years, a large number of automatic equipment has been introduced into the chemical fiber filament doffing production line, but the related research on the fully automatic production line technology is not yet mature. At present, it is difficult to collect data due to test costs and confidentiality. This paper proposes to develop a simulation platform for a chemical fiber filament doffing production line, which enables us to effectively obtain data and quantitatively study the relationship between the number of manual interventions and other process parameters of the production line. Considering that the parameter research is a multi-factor problem, an orthogonal test was designed by using SPSS software and was carried out by using a simulation platform. The multiple linear regression (MLR) and the neural network optimized by genetic algorithm were adopted to fit the relationship between the number of manual interventions and other parameters of the production line. The SPSS software was applied to obtain the standardized coefficients of the multiple linear regression fitting and the neural network mean impact value (MIV) algorithm was applied to obtain the magnitude and direction of the impact of different parameters on the number of manual interventions. The above results provide important reference for the design of similar new production lines and for the improvement of old production lines.

scholarly journals An Analysis of the Entrepreneurial Ecosystem of Malawi: The Global Entrepreneurship Index (GEI) Approach

2021 ◽  
Vol 8 (1) ◽  
pp. 224-238
Author(s):  
Frederick Pobee ◽  
Thuso Mphela
Keyword(s):  
New Technologies ◽  
High Growth ◽  
Gdp Per Capita ◽  
Risk Capital ◽  
Entrepreneurial Ecosystem ◽  
Start Up ◽  
Depth Analysis ◽  
Per Capita ◽  
Global Entrepreneurship ◽  
The Relationship

The research paper provides an in-depth analysis of the entrepreneurial ecosystem of Malawi. Employing the Global Entrepreneurship Index (GEI) methodology, the findings reveal a weak entrepreneurial ecosystem with a GEI score of 12.2 out of a possible 100. The relationship between the GDP per capita and the three entrepreneurship sub-indices, thus, attitude, ability, and aspiration are very weak and fall well below global average trends. Unfortunately, despite the high total entrepreneurship activities (TEA) in Malawi, this leads to little contribution to the country's GDP per-capita – a common phenomenon in many developing countries. At the pillar level, Malawi’s performance is a mixed bag, however, with most pillars performing not only poorly but below world averages. Despite the general positive perception of entrepreneurship by citizens, the country’s weak entrepreneurial ecosystem has failed to harness the propensity to develop new products and adopt new technologies for innovation and high growth entrepreneurship. From a policy intervention perspective, Malawi needs to focus most of its efforts and investments in five areas that include start-up skills, risk acceptance, high growth, risk capital, and human capital to improve the country's GEI score by 0.02.

The Relationship Among Military Expenditure, High Technological Product Exports, and Economic Growth

2021 ◽  
pp. 624-645
Author(s):  
Sevgi Sezer
Keyword(s):  
Economic Growth ◽  
Panel Data Analysis ◽  
Military Expenditure ◽  
Gdp Per Capita ◽  
High Tech ◽  
Industrialized Countries ◽  
G7 Countries ◽  
Causality Relationship ◽  
Per Capita ◽  
The Relationship

In this chapter, the effects of military expenditure (MEXP) on high-tech exports (HTX) and GDP per capita (GDPPC) of G7 and new industrialized countries (NIC) are analyzed for period 1988-2015 by panel data analysis. The causality relationships between the series are examined by Dumitrescu and Hurlin test. In G7 countries, one-way causality relationship from HTX to MEXP and two-way causality relationship between MEXP and GDPPC have been identified. Also, in NIC countries, two-way causality relationship between HTX and MEXP and one-way causality relationship from GDPPC to MEXP have been determined. Cointegration relations are tested by Pedroni test and the series are found to be cointegrated. It is seen that in the G7 countries, 1% increase in MEXP during the period of 1988-2015 increased HTX by 0.71% and GDPPC by 0.98%. In NIC countries, the 1% increase in MEXP increased HTX by 1.7% and GDPPC by 0.96%. The effect of MEXP on HTX is found much higher in NIC countries.

scholarly journals Predicting Wins, Losses and Attributes’ Sensitivities in the Soccer World Cup 2018 Using Neural Network Analysis

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3213 ◽  
Author(s):  
Amr Hassan ◽  
Abdel-Rahman Akl ◽  
Ibrahim Hassan ◽  
Caroline Sunderland
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Average Distance ◽  
Deep Understanding ◽  
The Neural Network ◽  
Testing Error ◽  
Training Error ◽  
Using Data ◽  
The Relationship

Predicting the results of soccer competitions and the contributions of match attributes, in particular, has gained popularity in recent years. Big data processing obtained from different sensors, cameras and analysis systems needs modern tools that can provide a deep understanding of the relationship between this huge amount of data produced by sensors and cameras, both linear and non-linear data. Using data mining tools does not appear sufficient to provide a deep understanding of the relationship between the match attributes and results and how to predict or optimize the results based upon performance variables. This study aimed to suggest a different approach to predict wins, losses and attributes’ sensitivities which enables the prediction of match results based on the most sensitive attributes that affect it as a second step. A radial basis function neural network model has successfully weighted the effectiveness of all match attributes and classified the team results into the target groups as a win or loss. The neural network model’s output demonstrated a correct percentage of win and loss of 83.3% and 72.7% respectively, with a low Root Mean Square training error of 2.9% and testing error of 0.37%. Out of 75 match attributes, 19 were identified as powerful predictors of success. The most powerful respectively were: the Total Team Medium Pass Attempted (MBA) 100%; the Distance Covered Team Average in zone 3 (15–20 km/h; Zone3_TA) 99%; the Team Average ball delivery into the attacking third of the field (TA_DAT) 80.9%; the Total Team Covered Distance without Ball Possession (Not in_Poss_TT) 76.8%; and the Average Distance Covered by Team (Game TA) 75.1%. Therefore, the novel radial based function neural network model can be employed by sports scientists to adapt training, tactics and opposition analysis to improve performance.

Harnessing foreign aid for the poor: role of institutional democracy

2020 ◽  
Vol 47 (7) ◽  
pp. 1689-1710
Author(s):  
Eric Akobeng
Keyword(s):  
Sustainable Development ◽  
Foreign Aid ◽  
Poverty Reduction ◽  
Gdp Per Capita ◽  
Land Area ◽  
Content Type ◽  
Per Capita ◽  
The Relationship ◽  
Ssa Countries

PurposeThis paper examines the relationship between foreign aid, institutional democracy and poverty. The paper explores the direct effect of foreign aid on poverty and quantifies the facilitating role of democracy in harnessing foreign aid for poverty reduction in Sub-Saharan Africa (SSA).Design/methodology/approachThe paper attempts to address the endogenous relationship between foreign aid and poverty by employing the two-stage least squares instrumental variable (2SLS-IV) estimator by using GDP per capita of the top five Organization for Economic Co-operation and Development (OECD) countries sending foreign aid to SSA countries scaled by the inverse of the land area of the SSA countries to stimulate an exogenous variation in foreign aid and its components. The initial level of democracy is interacted with the senders’ GDP per capita to also instrument for the interaction terms of democracy, foreign aid and its components.FindingsThe results suggest that foreign aid reduces poverty and different components of foreign aid have different effects on poverty. In particular, multilateral source and grant type seem to be more significant in reducing poverty than bilateral source and loan type. The study further reveals that democratic attributes of free expression, institutional constraints on the executive, guarantee of civil liberties to citizens and political participation reinforce the poverty-reducing effects of aggregate foreign aid and its components after controlling for mean household income, GDP per capita and inequality.Research limitations/implicationsThe methodological concern related to modeling the effects of foreign aid on poverty is endogeneity bias. To estimate the relationship between foreign aid, democracy and poverty in SSA, this paper relies on a 2SLS-IV estimator with GDP per capita of the top five aid-sending OECD countries scaled by the inverse of land area of the SSA countries as an external instrument for foreign aid. The use of the five top OECD's Development Assistance Committee (OECD-DAC) countries is due to the availability of foreign aid data for these countries. However, non-OECD-DAC countries such as China and South Africa may be important source of foreign aid to some SSA countries.Practical implicationsThe findings further suggest that the marginal effect of foreign aid in reducing poverty is increasing with the level of institutional democracy. In other words, foreign aid contributes more to poverty reduction in countries with democratic dispensation. This investigation has vital implications for future foreign aid policy, because it alerts policymakers that the effectiveness of foreign aid can be strengthened by considering the type and source of aid. Foreign aid and quality political institution may serve as an important mix toward the achievement of the Sustainable Development Goals 2030 and the Africa Union Agenda 2063.Social implicationsAs the global economy faces economic and social challenges, SSA may not be able to depend heavily on foreign partners to finance the region's budget. There is the need for African governments to also come out with innovative ways to mobilize own resources to develop and confront some of the economic challenges to achieve the required reduction in poverty. This is a vision that every country in Africa must work toward. Africa must think of new ways of generating wealth internally for development so as to complement foreign aid flows and also build strong foundation for welfare improvement, self-reliance and sustainable development.Originality/valueThis existing literature does not consider how democracy enhances the foreign aid and poverty relationship. The existing literature does not explore how democracy enhances grants, loans, multilateral and bilateral aid effectiveness in reducing poverty. This paper provides the first-hand evidence of how institutional democracy enhances the poverty-reducing effects of foreign aid and its components. The paper uses exogenous variation in foreign aid to quantify the direct effect of foreign aid and its components on poverty.

scholarly journals Towards a Comprehensive Framework of the Relationships between Resource Footprints, Quality of Life, and Economic Development

2020 ◽  
Vol 12 (11) ◽  
pp. 4734 ◽  
Author(s):  
Stefan Cibulka ◽  
Stefan Giljum
Keyword(s):  
Quality Of Life ◽  
Sustainable Development ◽  
Economic Development ◽  
Social Boundaries ◽  
Gdp Per Capita ◽  
Environmental Implications ◽  
Per Capita ◽  
Comprehensive Framework ◽  
The Relationship

The relationship between economic affluence, quality of life, and environmental implications of production and consumption activities is a recurring issue in sustainability discussions. A number of studies examined selected relationships, but the general implications for future development options to achieve environmentally and socially sustainable development of countries at different levels of per capita resource footprints, quality of life, and income have not yet been investigated in detail. In this study, we use a global dataset with 173 countries to assess the overall relationship between resource footprints, quality of life, and economic development over the period of 1990–2015. We select the material footprint and carbon footprint and contrast them with the Human Development Index, the Happiness Index, and GDP per capita. Regression analyses show that the relationship between various resource footprints and quality of life generally follows a logarithmic path of development, while resource footprints and GDP per capita are linearly connected. From the empirical results, we derive a generalized path of development and cluster countries along this path. Within this comprehensive framework, we discuss options to change the path to respect planetary and social boundaries through a combination of resource efficiency increases, substitution of industries and sufficiency of consumption. We conclude that decoupling and green growth will not realize sustainable development if planetary boundaries have already been transgressed.

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