In recent years, climate change has begun to put pressure on humanity and affect natural and human systems. The aim of this paper is to provide an improved understanding of the state of the literature on the impacts of climate change that can be addressed through measures related to disaster risk reduction, sustainable agricultural practices, and the circular economy. This review also represents a valuable and fundamental reference for both researchers and practitioners in these fields. A total of 74,703 articles (climate change adaptation, 45,030; disaster risk reduction, 5920; sustainable agricultural practices, 7940; circular economy, 15,813) published between 1990 and 2022 were extracted from the Web of Science Core Collection, and the links between these areas were mapped using VOSviewer. There has been an increase in the amount of published research on these four topics since 2007, indicating the increasing involvement of researchers to address these topics, influenced by the concerns of national and international bodies to address these changes.

Throughout this paper, the theoretical concepts from the above areas were combined with the analysis and interpretation of statistical data from the same areas of interest, resulting in a detailed analysis of how the agricultural labour force influences the yields of the five most important crops in the Romanian agricultural sector, namely, wheat, maize, sunflower, rapeseed and soybean. The analysis was carried out within the eight NUTS-listed development regions. A bibliometric analysis of the importance of the academic environment for agricultural labour force research was previously carried out using VOSviewer software. The content of this document aims to determine the impact that the agricultural labour force has on the productivity of the five main crops cultivated in Romania over large areas during the period 2015–2019, where, although the population employed in agriculture has decreased, the yields of these crops have increased due to the technological development process started in agriculture. As of 2019, only 9% of the total Romanian population is represented by the population employed in agriculture and 39.41% and 61.37% of the total area of the country are represented by arable/agricultural area, respectively.

Approaching the ecological agriculture topic in the context of European Policies to accelerate the conversion to those policies is an interdisciplinary challenge. The motivation to develop this subject is based on the longitudinal observation that the ecological agriculture evolution in Romania has been very slow, despite the policies aimed to accelerate the transition from the conventional to the ecological agriculture have been supported since the 2000s. The goal of the paper is to reframe the available data to evidence the slow dynamics of the organic farms’ certification. The methods used are descriptive and numerical analysis, supplemented by a qualitative-transversal interpretation. The research work has been carried out on the dynamic analysis of the ecological agriculture progress in Romania, based on the data with the ecological certification of the specialized companies (2019–2021). The main hypothesis: the slow dynamics are caused by subjective barriers. The results confirm the slow dynamics of ecological certifications due to some limits and barriers to understand the real role and benefits from the ecological agriculture. In this context, the European Union Organic Action Plan for 2021–2030 proves to be a stimulus for the Romanian ecological agriculture.

The paper analyzes the link between three concepts: environmental values, ecological behavior, and satisfaction with life. Various studies indicate the links between environmental values and ecological behavior, satisfaction with life, and pro-ecological behavior, but no connection between these three concepts. The paper aimed to develop such a research direction, namely sustainability as an integrative concept. The existence of a complex conceptual model between three specific constructs is analyzed. A questionnaire to 267 students from the universities of Iasi, Romania, was applied. To identify the existence of some equations between components, PLS-SEM and PLS-MGA methods were used, through SmartPLS3.9 and SPSS 18. The final model was a reflective-formative one on two hierarchical levels, being made up of 5 latent variables and 18 observed ones. Only the existence of significant equations between knowledge of environmental values and pro-ecological behavior and between knowledge of environmental values and satisfaction with life was highlighted. The multi-group analysis: although higher values are obtained among students from the rural compared to urban, there are no significant differences. The influence of knowledge of environmental values and ecological behavior on life satisfaction among students was highlighted. The results encourage the continuation of research on a larger population, from an extended area.

Bio-economy is a major area of the strategy that can afford the European Union to achieve growth: (i) smart, through the development of knowledge and innovation; and (ii) sustainable, based on a greener, more efficient economy in resource management. We believe that the progress of bio-economy cannot be achieved without the harnessing of intellectual capital. Our research aimed to emphasize the benefits of the dynamics of the intellectual capital growth on the evolution of the bio-economy. Thus, the information published by Eurostat (European Statistic Institute) during a period spanning seven years (2011-2018) was used to assess the influence exerted by the conduct of the harness of intellectual capital related to sustainability as well as for the reporting of indicators relevant to appreciating an economic progress and sustainability (renewable waste material, share of renewable energy and energy intensity of the economy). The ultimate goal was represented by the generation of a regression model to see what factor influences mostly the progress of the bio-economy at European and Romanian level. Significant dependency relationships were identified. The results remain robust even after the introduction of certain control variables, such as gross domestic product rate, food production, population growth, urbanization growth and inflation. Our paper sets out to contribute to expanding the specialty literature by highlighting the involvement of intellectual capital as a factor in optimizing sustainability growth and, at a methodological level, by using a multiple regression.