Форма представления | Статьи в зарубежных журналах и сборниках |
Год публикации | 2019 |
Язык | английский |
|
Губайдуллина Татьяна Николаевна, автор
Половкина Эльвира Анасовна, автор
|
Библиографическое описание на языке оригинала |
Grigoreva E.A, Polovkina E.A, Gubaidullina T.N., The role of statistical methods in the estimation of management efficiency // Journal of Environmental Treatment Techniques. - 2019. - Vol. 7, Is. Special Issue. - P. 1089-1092. |
Аннотация |
One of the tasks set for economic science is the study of the theoretical foundations for further improving production efficiency, which serves as the fundamental basis for modern economic development. A lot of work has been devoted to questions of the methodology for statistical studies on production efficiency and labour productivity. Nevertheless, some problems remain insufficiently studied, in particular, questions on a generalizing indicator of economic efficiency, and analysis of management efficiency growth factors. The authors of the paper consider the possibility of using statistical methods to identify the influence of organizational factors on improving production efficiency, and propose methods for calculating the impact of management on production efficiency. The paper discusses the methodology of statistical study of management effectiveness. Much attention is paid to the correlation and regression analysis. A model is proposed, making it possible to adequately use systematic approaches to the problem of the statistical study of the production and management. |
Ключевые слова |
efficiency, factor analysis, production function, fixed assets, сorrelation and regression analysis, regression, management |
Название журнала |
Journal of Environmental Treatment Techniques
|
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https://repository.kpfu.ru/?p_id=221844 |
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Поле DC |
Значение |
Язык |
dc.contributor.author |
Губайдуллина Татьяна Николаевна |
ru_RU |
dc.contributor.author |
Половкина Эльвира Анасовна |
ru_RU |
dc.date.accessioned |
2019-01-01T00:00:00Z |
ru_RU |
dc.date.available |
2019-01-01T00:00:00Z |
ru_RU |
dc.date.issued |
2019 |
ru_RU |
dc.identifier.citation |
Grigoreva E.A, Polovkina E.A, Gubaidullina T.N., The role of statistical methods in the estimation of management efficiency // Journal of Environmental Treatment Techniques. - 2019. - Vol. 7, Is. Special Issue. - P. 1089-1092. |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/?p_id=221844 |
ru_RU |
dc.description.abstract |
Journal of Environmental Treatment Techniques |
ru_RU |
dc.description.abstract |
One of the tasks set for economic science is the study of the theoretical foundations for further improving production efficiency, which serves as the fundamental basis for modern economic development. A lot of work has been devoted to questions of the methodology for statistical studies on production efficiency and labour productivity. Nevertheless, some problems remain insufficiently studied, in particular, questions on a generalizing indicator of economic efficiency, and analysis of management efficiency growth factors. The authors of the paper consider the possibility of using statistical methods to identify the influence of organizational factors on improving production efficiency, and propose methods for calculating the impact of management on production efficiency. The paper discusses the methodology of statistical study of management effectiveness. Much attention is paid to the correlation and regression analysis. A model is proposed, making it possible to adequately use systematic approaches to the problem of the statistical study of the production and management. |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
efficiency |
ru_RU |
dc.subject |
factor analysis |
ru_RU |
dc.subject |
production function |
ru_RU |
dc.subject |
fixed assets |
ru_RU |
dc.subject |
сorrelation and regression analysis |
ru_RU |
dc.subject |
regression |
ru_RU |
dc.subject |
management |
ru_RU |
dc.title |
The role of statistical methods in the estimation of management efficiency |
ru_RU |
dc.type |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|