In the context of increasing pressures on European agriculture, the economic sustainability of farming sectors is becoming a key strategic objective, especially for Member States with structural vulnerabilities such as Romania. This study proposes an integrated assessment of the economic sustainability of farming sectors in the European Union and Romania for the period 2013–2022 using an analytical framework based on composite indicators built on data from the FADN network. The seven indicators used are grouped into three dimensions: (i) economic performance—profitability, capitalization, and liquidity (FESI, FCI, PCFI); (ii) subsidy dependence and efficiency (FSDI, SEI); and (iii) technical–economic efficiency in the use of resources (FEPI, COEI). The results indicate accelerated economic growth of Romanian farms, but it is associated with structural vulnerabilities, such as low capitalization, high liquidity volatility, and high dependence on public support. In contrast, farms in the EU show superior financial resilience and a steady investment capacity. This study underlines the need for differentiated agricultural policies aimed at strengthening financial autonomy, increasing investment efficiency, and reducing the gap between Romania and the EU, helping to inform policy interventions for the transition towards a more competitive and resilient farming sector.

Food consumption plays a fundamental role in human life, shaping not only daily nutrition but also economic and social behaviors. Household expenditures on food remain among the highest, and the time allocated to food purchasing and preparation is significant. Beyond biological necessity, food represents a cultural and social phenomenon, influencing consumer habits, market trends, and lifestyle choices. This study explores the key factors influencing purchasing decisions in the agro-food sector in the North-East Region of Romania, focusing on socio-cultural influences, product attributes, brand trust, tradition, and lifestyle. The research employs a quantitative approach, utilizing a structured questionnaire to collect data from 337 residents through a convenience sampling strategy. The collected data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS 4.0 to examine the interrelationships between subjective norms, product attributes, price, consumer trust, and purchasing decisions. The findings indicate that social norms, price, product attributes, brand trust, customer satisfaction, and lifestyle have a significant and positive impact on consumer purchasing decisions. By understanding the key drivers behind sustainable food choices, businesses can optimize product offerings and enhance consumer engagement, while policymakers can design initiatives that promote sustainable consumption at both regional and national levels.

The transition to renewable energy is a central objective of the European Union’s energy and climate policies, yet adoption rates differ significantly across Member States. This study analyses the economic, structural, and energy determinants of renewable energy adoption in the EU-27 over the period 2008–2023, using panel data models with country and year fixed effects and clustered standard errors. The results indicate that the relationship between renewable energy and its main determinants is limited and heterogeneous across countries. Most explanatory variables do not exhibit consistent and statistically significant effects across model specifications. In particular, research and development expenditure does not show a robust impact, while GDP per capita is associated with negative coefficients in several specifications, suggesting the presence of structural constraints and path dependency. Energy-related variables also display weak and unstable relationships. The findings suggest that renewable energy adoption is shaped by context-specific and heterogeneous dynamics rather than by uniform drivers. The study contributes by highlighting the limited explanatory power of standard macroeconomic indicators and supports the need for differentiated policy approaches across Member States.

This research examines the relationship between the current profile of agricultural practitioners and the emerging characteristics of future practitioners, as well as identifying the implications of this relationship for adapting marketing strategies in agricultural innovation. Methodologically, a sequential mixed-methods design was used, combining a literature review, semi-structured interviews with students in the agricultural field, a questionnaire administered to 172 respondents, and a focus group. The results show that the emerging profile of practitioners reflects a reconfiguration of the decision making associated with current practice, within a more digitalized context. The qualitative analysis and quantitative results indicate that the approach to innovation remains anchored in practical utility. The subjects are interested in validation through testing, clarity of results, credibility of sources, and risk control. They demonstrate openness toward innovative technologies and digitalization for decision making. The focus group confirmed an acceptance of new technologies depends on their utility and their smooth integration into current operations, as well as their validation within credible professional networks. The research highlights that marketing strategies for agricultural innovation must be built around practical demonstrations, profitability, accessible content, and professional validation. For Romanian agriculture, these conclusions support the need for communication strategies that are adapted to the current profile of practitioners and the emerging characteristics of the new generation that is entering the agricultural sector.