Trust and socio-economic indicators: model including religion factor

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 indi...

Full description

Bibliographic Details
Main Authors: Tamara Merkulova, Borys Koval
Format: Article
Language:English
Published: V.N. Karazin Kharkov National University 2018-06-01
Series:Вісник Харківського національного університету імені В.Н. Каразіна: Серія Економіка
Online Access:https://periodicals.karazin.ua/economy/article/view/12219/11618
id doaj-bb35a3c4c941430c8eb18317a5fa4b6f
record_format Article
spelling doaj-bb35a3c4c941430c8eb18317a5fa4b6f2020-11-25T00:45:23ZengV.N. Karazin Kharkov National UniversityВісник Харківського національного університету імені В.Н. Каразіна: Серія Економіка 2311-23792018-06-019410.26565/2311-2379-2018-94-03Trust and socio-economic indicators: model including religion factorTamara Merkulova0Borys Koval1V.N. Karazin Kharkiv National UniversityV.N. Karazin Kharkiv National UniversityThe 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.https://periodicals.karazin.ua/economy/article/view/12219/11618
collection DOAJ
language English
format Article
sources DOAJ
author Tamara Merkulova
Borys Koval
spellingShingle Tamara Merkulova
Borys Koval
Trust and socio-economic indicators: model including religion factor
Вісник Харківського національного університету імені В.Н. Каразіна: Серія Економіка
author_facet Tamara Merkulova
Borys Koval
author_sort Tamara Merkulova
title Trust and socio-economic indicators: model including religion factor
title_short Trust and socio-economic indicators: model including religion factor
title_full Trust and socio-economic indicators: model including religion factor
title_fullStr Trust and socio-economic indicators: model including religion factor
title_full_unstemmed Trust and socio-economic indicators: model including religion factor
title_sort trust and socio-economic indicators: model including religion factor
publisher V.N. Karazin Kharkov National University
series Вісник Харківського національного університету імені В.Н. Каразіна: Серія Економіка
issn 2311-2379
publishDate 2018-06-01
description 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.
url https://periodicals.karazin.ua/economy/article/view/12219/11618
work_keys_str_mv AT tamaramerkulova trustandsocioeconomicindicatorsmodelincludingreligionfactor
AT boryskoval trustandsocioeconomicindicatorsmodelincludingreligionfactor
_version_ 1725270493103128576