The aspects highlighted in this paper refer to the application of fertilizers and plant protection products to the wheat crop, and their impact on total production, competitiveness in export markets, price optimization as a result of increased harvest quality, and not least row, ensuring farmers’ incomes. The present analysis concerned the areas cultivated with wheat, and the productions achieved in relation to the quantities of fertilizers and protection products used in wheat cultivation, in Romania, Germany, Spain, France, Italy, Hungary, Poland and the UK. The analysis highlighted that, the average productions are influenced both by the technology used, by the fertilization and treatments applied, as well as by other synergistic factors that intervene in wheat crops. In countries such as Spain and Italy, the correlation between the amounts of N (nitrogen), P₂O₅ (phosphorus), K₂O (potassium) and the average production of wheat is insignificant, but in Romania and Hungary, there is a strong, direct connection between the number of fertilizers used and the average wheat crop yield. In Romania and Hungary, there is a very significant connection, but the production link average with pesticides is negative, while in Germany, the correlation is direct and quite intense for all types of fertilizers used, while the use of pesticides has a lower influence on average wheat production. In this study, we also applied a multiple regression model; in which the dependent variable was the average yield of wheat per ha and the independent variables were the average quantity of pesticides and fertilizers used. We used the “t Stat” values for each coefficient to determine whether the coefficient is equal to zero; where a high value of “t Stat”, greater than 2; indicates the fact that the coefficient is significantly different from the value zero. The “p-value” for each coefficient indicates the probability that the coefficient has the value zero. A value below the significance level of 5% results in a coefficient significantly different from zero and with an impact on the dependent variable. The use of fertilizers on wheat crops has a synergistic effect as shown by the multiple linear regression analysis which demonstrated a strong direct relationship, particularly with the amount of N, K₂O and P₂O₅ applied.

The Farm-to-Fork strategy was the starting point for this study. Farmers in Romania and other member states expect a decrease in agricultural production in the main crops, due to the reduction of the quantities of fertilizers and pesticides allowed to be used. The article aims to highlight these quantities currently used, as well as the correlation with the realized productions, before the application of the mentioned strategy. The sunflower farming system was the object of the analysis, for which purpose the cultivated areas and the productions obtained in Romania were studied and compared to those in Germany, Spain, France, Italy, Hungary and Poland. It was found that in Romania, in the period 2010–2019, small amounts of fertilizers and pesticides were applied. Romania occupies the last position among the countries under analysis, both in terms of fertilizers and pesticides. To obtain a ton of sunflower in Romania, the nitrogen fertilizers used were 19.2 kg N active nutrient, with a negative deviation of −45.5 kg N active nutrient compared to Germany. The P₂O₅ phosphorus fertilizers used in Romania represent 7.48 kg of the active phosphorus nutrient with a negative deviation of −13.09 kg/ha compared to Spain. Potassium fertilizers used in Romania comprise 2.68 kg of active potassium nutrient used to obtain a ton of sunflower and have a negative deviation of −22.66 kg/ha compared to Poland. The pesticides used in Romania for sunflower cultivation represent 0.35 kg total pesticides used per ton and have a negative deviation of −2.48 kg compared to Spain, the largest consumer. In the event that a unit reduction of 50% for pesticides and 20% for fertilizers is applied, according to the Farm to Fork Strategy, the impact will be unequal on the productions obtained, both quantitatively and qualitatively.

The paper highlights the evolution of meat consumption in Romania between 2007 and 2022 based on statistical data retrieved from the National Institute of Statistics and also presents a recent 2024 diagnosis on Romanian meat consumption from field data acquired through a questionnaire survey to which 1002 people gave valid answers. For the average annual meat consumption in Romania it was found that it varies depending on the category: for beef it was a decreasing trend, for pork the trend was slightly increasing, and the consumption of mutton and goat meat had an insignificant variation. The central place in terms of meat consumption was occupied by poultry (34.78%), which had the most obvious increase. The questionnaire reflected that meat consumption is influenced by multiple factors including: age, income level, level of education, origin of meat etc. In the context of climate and geopolitical change, there is an increasing emphasis on finding alternatives for meat. The largest share of respondents to the questionnaire said that they will continue to consume meat, the rest preferring substitutes obtained from vegetables. Our results and the analysis, correlations and approaches done within this paper could serve as a basis for meat consumption patterns in Romania and may ground future marketing policies and sustainable development strategies in the food industry.

The objective of the analysis is to quantify the impact of subsidies on the activity of two large farms of 600 ha and 3000 ha, respectively. The innovative solution from this analysis is to create a model that can be used at the macroeconomic level, showing the possible ways in which these large farms can secure their incomes. To study the use of these subsidies, the methods of technical–economic analysis, economic–financial analysis and statistical analysis of the data were used. Descriptive statistics, visual inspection and basic comparative methods were used to determine the statistical patterns of subsidy impact and variation for each crop. In this context, this is evidence of the possibility of probable expansion of crop income and profitability. The results were different for the two arable farms studied. The results for the 600 ha arable farm suggested that the statistical model was inconclusive due to the annual adjustment of the cropping plan and the impossibility of making viable forecasts, especially since the ecological performance fluctuated (in 2020 the farm was on the verge of profitability), although the positive impact of subsidies was evident in loss-making years. For the 3000 ha arable farm, the statistical model was relevant because it highlighted crops (corn and soybeans) that consistently contributed to good and increasing income and economic performance, as well as highlighting the significant impact of subsidies. The conclusions of the study emphasize the indispensability of subsidies for large farms and the contribution of crops to income generation. These conclusions provide a valuable source of information for relevant policy decisions and can guide future research aiming to increase the profitability of these farms and allocate resources appropriately and efficiently in the agricultural sector.

The objective of the analysis carried out in this paper is to quantify the impact of subsidies on the activity of two vegetable farms, of different sizes in terms of agricultural area under cultivation, 600 ha and 3000 ha, which can constitute a model at macroeconomic level, indicating the ways in which these farms can ensure their income. For the analysis carried out, indicators were taken into account concerning production, net profit and subsidies received over a period of three years for the agricultural crops grown on these farms, identifying their contribution and effects on profitability. Descriptive statistics, visual inspections and basic comparison methods were also used, thus determining the patterns of the impact of subsidies and their variation for each of the existing crops in the vegetable farms studied. The data on which the statistical models are based are extracted from the financial statements of the farms analysed, giving the possibility of a predictive extension of the evolution of income and, very importantly, of their profitability. The conclusions revealed, for the 600 ha vegetable farm, that this farm maintained its area constant during the analysis period, benefiting from annual subsidies, and that the practice of crop diversification (rape, barley, winter wheat, oats, soybean, maize, lucerne), appropriate rotation, conservation farming and crop irrigation on 85.34% of the area, ensured average yields/ha that exceeded those recorded at national and regional level, except for 2020. The economic performance of this farm is oscillating in the period 2018-2021, with the ability to consistently generate profit, but in 2020 it is close to break-even, a year in which subsidy income tipped the balance towards positive but modest financial results. For this farm, the statistical model carried out was inconclusive because the farm optimises its cropping plan every year, depending on agrometeorological predictions, subsidy levels and market trends, changing crops, thus not being able to estimate the extent to which each crop contributes to maintaining the financial balance of the farm. Thus, although subsidies have impacted the level of net income, the extent to which they have done so is unclear. For the 3000 ha farm, the findings revealed that this farm also has a roughly constant area in use over the analysis period and for which it receives subsidies. This farm practices crop diversification (rape, barley, winter wheat, sunflower, soybean, grain maize, late potatoes, sweet potato, carrot and flowers) and adequate crop rotation. The data highlight that subsidies played a significant and sometimes overwhelming role in determining the gross output of each crop to achieve a positive value of this indicator. Modern conservation farming technologies and crop irrigation on 74.14% of the area justify the average yields/ha achieved, which again exceeded those recorded at national, regional and county level, with the exception of 2020. Maize and soybean crops consistently contributed to the farm's income, with a high gross product and net income, despite changes in the average yield per hectare achieved each year. Good and rising economic performance for this farm during the period under review, which justifies the profitability of the business from an economic, financial and commercial point of view. Although there have been fluctuations in the value of yields realized on different crops, net revenues continued to be high and even up significantly in 2021. Thus, the study highlighted and identified trends and patterns in agriculture, patterns that can serve as a source of information for relevant policy decisions, playing a key role in guiding future research and allocating resources efficiently in the agricultural sector.