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The Impact of Environmental Factors on Families with Disabilities as an Object of Structural Modeling

Bibliographic Data

ID16900383
AuthorsTatyana PRITVOROVA (0000-0002-6306-3960, Karaganda Buketov University), Dinara TEMIRBAYEVA (0000-0003-2815-0011, Karaganda Buketov University), Yelena GORDEYEVA (0000-0001-9638-6777, Karaganda Buketov University), Nurgul KUTTYBAEVA (0000-0001-8250-4111, Karaganda Buketov University), Bakyt SPANOVA (0000-0003-1119-208X, Karaganda Buketov University)
Year2022
Volume13
Issue3
Pages619
Publication date2022-06-03
Open AccessYes
TypeARTICLE
VenueJournal of Environmental Management and Tourism (JOURNAL)
Journal identifiersISSN: 2068-7729 • E-ISSN: 2068-7729
PublisherSC ASERS SRL (PUBLISHER)
DOI10.14505/jemt.v13.3(59).02
OpenAlexW4312825242
LanguageEN

This article examines the socio-economic situation of families with children with disabilities, who are considered vulnerable social groups in global social policy. The purpose of the paper is to assess the set of constraints faced by families with children with disabilities in Kazakhstan and the factors, including environmental factors, that have a significant impact on them. The authors use a sociological survey of respondents in five regions of Kazakhstan and subsequently process the results using statistical methods. The survey is based on a methodological approach based on the identification of four types of constraints: direct costs, indirect losses/costs, assessment of the ability to find a job, and assessment of the ability to maintain a parent's health. The authors conduct structural modeling using the PLS-PM model, in which four types of constraints are set as dependent variables. The model allowed eight hypotheses to be confirmed, of which six identify significant factors and the other two reflect the relationships among the dependent variables in the model

Economics · Environmental health · Public economics · Statistics · Structural equation modeling · Computer Science · Impulse Buying and Technology Impacts · Mathematics · Medicine · Psychology · Regional Socio-Economic Development Trends · Socioeconomic and Demographic Analysis · Ecology

Highly citedNo

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