This paper analyzes the Corporate Social Responsibility (CSR) of a sample of wineries in Spain and its effect on the companies’ performance. We used a questionnaire created with a validated scale that includes environmental and social dimensions. The final sample was made up of 127 firms that participated in the National Wine Fair (FENAVIN) in 2019, and this was analyzed using a cluster analysis and means contrast to verify whether a CSR-performance relationship exists. The performance was measured using the average return on assets (ROA) for the prior three years. The results obtained do not support the general opinion that enterprises involved with CSR achieve better results. On the contrary, we found that wineries that are more environmentally responsible are the least profitable and that those with more socially responsible behavior do not have a significant CSR-performance relationship.

There is a considerable amount of research concerning the issue of entrepreneurial intentions, which has attained mixed findings. Integrating sustainability, in the sense of considering disabled people, into the current entrepreneurial intention research makes it possible to fill an important research gap. The main objective of this paper is to clarify the contribution that education, students’ traits, and contextual factors make to an individual’s entrepreneurial intent when disabled students are incorporated into the analysis as an innovative field of study. The aim of this research is to analyze the entrepreneurial intentions of disabled people who are studying in higher education and compare them with non-disabled students while considering the main factors described in previous studies. In order to achieve this objective, we have carried out a logistic regression with a sample of Spanish students. The main findings are: Education does not influence students’ entrepreneurial intentions, which are affected by only some of the students’ traits and background conditions. Regarding the disabled students’ entrepreneurial intentions, we have found no significant differences compared with those of students who are not disabled. Initiatives such as those of the University of Castilla-La Mancha (UCLM) described in the paper should, therefore, be encouraged, keeping in mind that disabled students do not always show a lack of confidence in themselves as some studies have claimed.

It is expected that large-scale producers of wind energy will become dominant players in the future electricity market. However, wind power output is irregular in nature and it is subjected to numerous fluctuations. Due to the effect on the production of wind power, producing a detailed bidding strategy is becoming more complicated in the industry. Therefore, in view of these uncertainties, a competitive bidding approach in a pool-based day-ahead energy marketplace is formulated in this paper for traditional generation with wind power utilities. The profit of the generating utility is optimized by the modified gravitational search algorithm, and the Weibull distribution function is employed to represent the stochastic properties of wind speed profile. The method proposed is being investigated and simplified for the IEEE-30 and IEEE-57 frameworks. The results were compared with the results obtained with other optimization methods to validate the approach.

The widening gap between production and domestic consumption has led Spain to become the country with the largest volume of wine exports, of which it has a global market share of 20.5%. Wineries in Spain have, in recent years, undergone important transformation and modernization processes, while their customers have simultaneously acquired more power than ever before owing to both the availability of information and the technological means required to access that information. The objectives of this paper are the following. We first wish to analyze current wine consumer behavior in an attempt to discover indicators associated with exploratory behavior, i.e., the willingness to try new and innovative products for the first time. We also attempt to understand the extent of wine consumers’ demands in this new digital and technological world. The second goal is to analyze the changes that have taken place in the wine industry, which have come about as a result of the evolution of consumers’ expectations and demands. The customer accordingly now plays a new role in this new quick change scenario, which involves aspects such as the intensive use of technology, advances in communication, digital transformation, etc. We consider that this could affect some aspects of business and have, therefore, chosen to analyze one of the most advanced Spanish wineries in order to examine its entrepreneurial orientation, strategy and level of technological and digital transformation when linked to adaptation to this new consumer behavior. The results and conclusions obtained will allow us to apply our findings in future research, during which we intend to expand our studies to wineries from other regions and countries.

Research background: The study examines the impact of geopolitical tensions, in particular the Russia-Ukraine conflict, on agricultural commodity markets at a global level. The research focuses on the period from February 2021 to February 2024, a period characterized by significant economic instability due to the ongoing conflict. The research covers global agricultural commodity markets, focusing on three main categories: soft commodities, grains and livestock. Purpose of the article: The purpose of this paper is to examine the asymmetric interactions between crude oil and gas prices and agricultural commodity yields from February 2021 to February 2024. The study aims to analyze these interactions on a global scale, encompassing the world markets for soft commodities, grains and livestock. The research aims to provide insights into how geopolitical tensions, in particular the Russia-Ukraine conflict, are affecting these global agricultural markets and their linkages to energy prices. Methods: This study uses the Nonlinear Autoregressive Distributed Lag (NARDL) model to analyze the asymmetric interactions between crude oil and gas prices and agricultural commodity yields, capturing both short-run and long-run asymmetries. The study divides the sample period into three distinct sub-periods of the Russia-Ukraine conflict, allowing for a detailed examination of how energy price fluctuations affect agricultural commodities under different economic conditions. Findings & value added: Our main findings are the following: (1) positive correlations with oil and gas prices for soft commodities and grains; (2) weaker but significant relationship for livestock; (3) short-term asymmetries are particularly pronounced during periods of high economic turbulence (e.g. Russia-Ukraine conflict); (4) grain and livestock yields show stronger responses to negative oil price shocks; (5) no long-run equilibrium relationship found by cointegration tests. The present paper is unique in combining the Nonlinear Autoregressive Distributed Lag (NARDL) model with a detailed analysis of the Russia-Ukraine conflict, providing unprecedented insights into the asymmetric impact of geopolitical tensions on agricultural commodity markets, which is essential for understanding market dynamics during crises.