Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
STATISTICAL MODELING OF PHYSICAL OUTPUT INDICATORS FOR MEASURING LABOR PRODUCTIVITY AND ENVIRONMENTAL STANDARDS
Form of presentationArticles in international journals and collections
Year of publication2020
Языканглийский
  • Garifova Liliya Fuatovna, author
  • Grigoreva Ekaterina Anatolevna, author
  • Gubaydullina Tatyana Nikolaevna, author
  • Polovkina Elvira Anasovna, author
  • Bibliographic description in the original language 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.
    Annotation 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.
    Keywords analysis of variance, direct and indirect costs, environmental standards, equal benefit of products, labor productivity, production efficiency, statistical modeling
    The name of the journal Procedia Environmental Science, Engineering and Management
    URL https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100021094&partnerID=40&md5=e9497b4f3c5032bc4dbed3a43ea114b2
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=249188&p_lang=2

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