The rural area is a basic component from a socio-economic point of view, being closely linked to the activities that take place in these areas. Normally, Romanian rural localities should show significant differences from one development region to another, being influenced by a number of factors (geographical positioning, the influence of agriculture in the economy, etc.). In this sense, data were collected from the town halls of the localities from Calarasi and Timis counties. The analyzed data were processed by the linear regression method, and the estimation of the evolution of the population was determined using the Vensim simulation program. The paper identifies a pattern in rural localities in Romania that hinders their development, reflected by various socio-economic indicators available in the analyzed localities. The main factor that can change this pattern in rural localities is the influence of local and national decision-makers, who can encourage investment in these areas either through the development of local and national infrastructure or through fiscal measures that encourage the development of quality non-agricultural activities that can generate financial resources and jobs at the local level. Moreover, it is not only the low number of non-agricultural activities that is causing the poor development of rural areas, but rather the low number of economic operators in general and the quality of these types of activities, which in most cases do not have the capacity to create new jobs.

Rural Romania faces many problems, the main one being depopulation. In general, young adults frequently choose to migrate to urban centers or leave the country entirely to satisfy economic and/or social aspirations. The aim of this study is to identify intractable issues that inhibit rural development and to identify actionable solutions. In this regard, a questionnaire was developed and administered at the local level. The results obtained were analyzed with the SPSS Statistical Program, with the Pearson Chi-square, and Cramer and Pearson coefficients were determined. The answers obtained from applying the questionnaire made it possible to identify the causes that inhibit the sustainable development of rural areas. It can be considered that a solution that could lead to the sustainable development of the rural areas from Romania would be represented by the development of a digital tool that would create a synergy between local authorities, researchers and the private sector. In order to be able to solve these problems, the Government of Romania should provide the necessary funds to local authorities, depending on the needs identified through the digital instrument, acting directly on the aspects that restrain the development of those areas.

No abstract

The clusters with agro-industrial profile were developed within this scientific paper, based on a new conception of the capitalization of agricultural production at a regional level. In this approach "the agricultural farms" are more than basic links of the agro-industrial chain, they are the "essential links" without which "the chain" cannot serve as economic and social organization. The consumer has become the basic link of the chain, and in order to meet its requirements and options, the agro-industrial enterprises must come in a more effective way. The cluster proposed by this study must produce "what is required" and "how much is required" on the market. This agroindustrial chain highlights the cluster size (type, dimension and production capacity of goods), its chain links and the value added by this cluster. The overall objective of the "network enterprises" which constitute this agro-industrial cluster is to help its members to achieve increased production capacity and to be more profitable. A cluster model for enhancing grain production, integrated at regional level is proposed within this study.

Organic farming is an important objective of the European Commission, translated into the European Green Pact through the Farm to Fork Strategy and the Biodiversity Strategy, with EU member countries having to find solutions to meet the target of at least 25% of agricultural land being used for organic cultivation by 2030. The aim for Romania can be achieved by modelling the distribution of crops in terms of cultivated areas and production yields obtained in organic and conventional systems according to the population size. Applying quantitative and qualitative analysis of EUROSTAT data for the above-mentioned indicators, the geomean function, linear programming, and the simplex method were used, depending on the set objectives. To demonstrate that organic farming can be sustainable and in line with the three pillars of sustainability, economic, social and environmental, we related the agricultural area to the population of Romania to highlight the average annual growth rate for the 2020–2030 tine horizon. The results showed an increase in agricultural area per capita of 0.708 ha (4.91%), compared to 0.69 ha as the average for the period 2012–2020, which correlated with organic production yields 32% lower than conventional agriculture. Through modelling, the reduction in organic farm yield was found to be less than or equal to the increase in area per capita, thus reaching the proposed target. The results of this study have long-term implications for supporting the transition to organic farming in the sense that the study argues that reaching the target of 25% of agricultural land that can enter organic farming is in line with the sustainability trilogy. The approach used can be followed and replicated according to national agricultural policies.