Revisiting the calculations techniques of the optimal planning methods for the local authority activities (on the Republic of Tatarstan example)

International Scientific-Technical Conference on Innovative Engineering Technologies, Equipment and Materials 2018

材料科学;工业技术（总论）

Shikhalev, A.M.^1 ; Akhmetova, I.A.^2 ; Vorontsov, D.P.^1 ; Khananova, A.F.^1

Kazan Federal University, Engineering Institute, 18 Kremlyovskaya street, Kazan

420008, Russia^1

Kazan Federal University, Institute of Management Economy and Finance, 18 Kremlyovskaya street, Kazan

420008, Russia^2

关键词: Component analysis;    Local authorities;    Multiple regression equations;    Optimal planning method;    Positive experiences;    Production efficiency;    Production function;    Statistical datas;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/570/1/012094/pdf
DOI  :  10.1088/1757-899X/570/1/012094

来源: IOP

【 摘 要 】

The indicators of Savrushinsky local municipal structures development in the Republic of Tatarstan (RT) are defined on the basis of creation, receiving and the analysis of the production function (PF). For the PF creation were collected the input statistical data for 2013-2017 on revenues of the studied local municipal district, fixed assets volumes and the staff number. After the logarithmation and receiving the simple multiple regression equation with the potentiation method was received the PF in a multiplicative look that allowed to estimate the degree of intensive and extensive development of the studied municipal structures and also to define its ratio. For the mathematically correct results obtaining beforehand was made the component analysis of future equation, and after its receiving was estimated the residuals autocorrelation existence. As a result was specified that the Savrushinsky local municipal office in the studied period was mostly developed due to the production efficiency increase, than from the production scale growth in which increase consists the positive experience of this municipal structures.