Dynamics of Agricultural Areas Availability in the Republic of Moldova for the Development of the Agricultural Sector

DOI

10.2991/assehr.k.201212.051How to use a DOI?

Keywords

econometric models, methods, development, dynamics, region, potential, evolution, agricultural areas, agricultural housholder, distribution, census, investments

Abstract

In order to identify the most probable and timely development options, the economic and social forecasts become pertinent remedies for determining the development objectives either of the branch or of the society. Therefore, the forecasts become decisive factor in the activities of scientific formulation and argumentation of the strategy and tactics of economic and social growth, and the efficiency of economical international affairs management. The analysis of the foreign trade of the Republic of Moldova showed that the biggest share in the national exports is agrarian and agro-food products. That’s why the present article perform a depth study in analyzing and determining the potential of agrarian sector development using modeling and forecasting techniques based on time series adjustment, regression and correlation functions to predict trend and development potential of the agriculture sector.The present article perform a depth study in analysing and determining the potential of agricultural areas development using modelling and forecasting techniques based on time series adjustment, regression and correlation functions to predict trend and development potential of the agriculture sector.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Andrian Ulinici
PY  - 2020
DA  - 2020/12/15
TI  - Dynamics of Agricultural Areas Availability in the Republic of Moldova for the Development of the Agricultural Sector
BT  - Proceedings of the International Conference Digital Age: Traditions, Modernity and Innovations (ICDATMI 2020)
PB  - Atlantis Press
SP  - 247
EP  - 252
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201212.051
DO  - 10.2991/assehr.k.201212.051
ID  - Ulinici2020
ER  -