Казанский (Приволжский) федеральный университет, КФУ
КАЗАНСКИЙ
ФЕДЕРАЛЬНЫЙ УНИВЕРСИТЕТ
 
STATISTICAL MODELING OF PHYSICAL OUTPUT INDICATORS FOR MEASURING LABOR PRODUCTIVITY AND ENVIRONMENTAL STANDARDS
Форма представленияСтатьи в зарубежных журналах и сборниках
Год публикации2020
Языканглийский
  • Гарифова Лилия Фуатовна, автор
  • Григорьева Екатерина Анатольевна, автор
  • Губайдуллина Татьяна Николаевна, автор
  • Половкина Эльвира Анасовна, автор
  • Библиографическое описание на языке оригинала Grigoreva E.A., Polovkina E.A., Gubaidullina T.N,, Garifova, L.F. Statistical Modeling of Physical Output Indicators for Measuring Labor Productivity and Environmental Standards / E.A. Grigoreva, E.A. Polovkina, T.N. Gubaidullina, L.F. Garifova // Procedia Environmental Science, Engineering and Management. - 2020. - Voiume 7. - Issue 4. - pp. 563-569.
    Аннотация In the last decade, a rising number of firms have adopted voluntary international environmental management and product standards, such as the international ISO 14001 management standard or organic certification. The article reflects the methodological issues of statistical research of production volume indicators based on the environmental and statistical models. Additionally, it investigates the direct relationship between environmental standards and labor productivity. The modeling was carried out on the basis of real data from two typical machine-building enterprises with different types of products, the degree of its renewal and serial production. We assessed the contribution of an individual enterprise to the manufacture of products of the standard processing cost with a more accurate method of distributing indirect costs and profits. We carried out a statistical analysis of various indicators for the degree of equal benefit of products, and the correlation between environmental standards and labor productivity.
    Ключевые слова analysis of variance, direct and indirect costs, environmental standards, equal benefit of products, labor productivity, production efficiency, statistical modeling
    Название журнала Procedia Environmental Science, Engineering and Management
    URL https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100021094&partnerID=40&md5=e9497b4f3c5032bc4dbed3a43ea114b2
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