Assessment of the Conditions Essential for the Formation of Technical and Technological Basis of Agrarian Sector

Kononova, Natalia N.; Ulez’ko, Andrey V.

doi:10.17238/issn2071-2243.2020.3.125

Cited by 1 publication

(1 citation statement)

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“…The lack of actual units of agricultural machines is compensated by the purchase of high-performance, energyrich equipment and the introduction of resource-saving technologies using combined seeding and tillage machines. However, the peasants' need for machinery and equipment remains objectively high; depreciation of fixed movable assets is more than 52% [9,10,11]. In 2020, 4096 vehicles with GLONASS navigation worked in agribusiness (2019 -3420 units).…”

Section: Resultsmentioning

confidence: 99%

Support for technical and technological modernization of agribusiness in the Altai Territory

Minenko

Селиверстов

2022

IOP Conf. Ser.: Earth Environ. Sci.

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The dynamics of agribusiness development depends on the state of its material and technical base; its intensification is impossible without equipping with advanced energy-efficient means of production. A number of measures of state support in the Altai Territory are aimed at achieving the required level of technical re-equipment of enterprises of the agro-industrial complex. Within the framework of the study, measures and tools are considered that stimulate technical re-equipment and technological modernization. The influence of state support on the technical re-equipment of agribusiness is analyzed, and the positive contribution of the use of leasing schemes in the acquisition of agricultural machinery is revealed. Indicators of the dynamics of updating the main types of agricultural machines and technological equipment of agribusiness are given, in particular, its low provision with tractors was revealed. The assessment of the need for technology is given. The reasons for the restraining rates of acquisition of agricultural machinery have been identified and a number of measures have been proposed to intensify it.

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Section: Resultsmentioning

confidence: 99%