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Permanent URI for this collectionhttps://rses.ince.md/handle/123456789/1827
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Item Milk and meat market between 2015-2020 - a swot analysis(INCE, 2022) Chetroiu, Rodica; Marin, AncutaMarket information is an important tool to respond to changes in the economic environment and to identify potential domestic and export market opportunities, helping producers, traders and processors to know market requirements and consumer preferences. The SWOT analysis used in the paper as a research method is based on the results of a series of technical-economic analysis, statistics and market information, which led to highlighting the strengths, weaknesses, opportunities and risks of the cow's milk market and of beef, sheep, pork and poultry market from Romania. Thus, the Romanian agri-food sector was characterized by a low integration of participants in the agri-food supply chains. The Romanian animal products market is dominated by imported products, at lower sales prices, which makes that the products of Romanian farmers do no longer find their place in the stores, as higher domestic costs lead to higher prices, discouraging autochthonous producer. But the recovery of trust in Romanian products has already taken place by consumer. There is now a need to regain trust between producers, to create production, distribution and marketing chains, to create markets that will also receive quality products from Romanian farmers.Item Evoluţia indicatorilor de agro-mediu în regiunea Sud-Muntenia(IEFS, 2012) Chetroiu, Rodica; Iurchevici, LidiaThe South - Muntenia Region is situated in the South-East of Romania, bordering at North with Central Region, at East with South – East Region, at South with Bulgaria, the limit being given by the natural boundary - the Danube river, and at West with South – West Region. The South - Muntenia Region is composed of: seven counties (Arges, Calarasi, Dambovita, Ialomita, Giurgiu, Prahova and Teleorman), 16 municipalities, 32 cities and 519 communes with 2019 villages. The agricultural area, mainly concentrated in the southern counties, holds 71.1% of the total region area, of which 80.2% is arable land. The work studies the evolution, during 2000 - 2010, of the following agri-environment indicators specific of the agriculture in the South - Muntenia Region: irrigated area, surface with drainage works, area furnished for land improvement and soil erosion prevention, surface with fertilizers on, quantity of fertilizers, surface with pesticides on, quantity of pesticides. The agricultural area furnished for irrigation, the land prepared with drainage works and area furnished for land improvement and soil erosion prevention were maintained almost constant during the analyzed period. The drainage work marks a leap in 2001 compared to 2000, remaining at that value thereafter. Have increased quantities of chemical fertilizers and the natural ones marked a decrease both overall and in the private sector.Item Determinarea funcţiilor economice restrictive şi a tendinţelor de evoluţie a sistemelor agricole în regiunea Sud-Est a României(IEFS, 2012) Iurchevici, Lidia; Chetroiu, RodicaThe purpose of the work is to determine the development trend of the agricultural activities in South-Eastern Region of Romania, in order to improve the plant and animal systems efficiency. To elucidate these systems trends in territorial profile, has been used the regression function method or least squares method, represented graphically by the line (curve) of regression. This is expressed as an analytic function appropriate to the link between factorial feature and outcome. In relation to the approximating function shape F (x) can be applied several types of regression: polynomial, exponential, logarithmic, hyperbolic etc. If the approximation polynomial has degree p = 1, the criterion of least squares application leads to linear regression: F(x) = a + bx. If the approximation polynomial has degree p = 2, applying the least squares criterion leads to the quadratic regression: F (x) = a + bx + cx2. The practical results of applying statistical and mathematical presented methods are reflected in the analysis of agricultural systems in South-Eastern Region, during 2000-2010, and graphic projecting of their trends (forecasts) in the region studied, by the year 2021.