The improvement in women’s labor conditions and the elimination of segregation and other forms of direct or indirect discrimination have become one of the major challenges of the international political agenda, and as so have been included in the Sustainable Development Goals (SDGs) launched by the UN in the 2030 Agenda for Sustainable Development. At the same time, there is an increasing interest in the effects that the Social Economy (SE) might have on the achievement of the SDGs, as a consequence of its distinguishing of people-oriented principles. The goal of this paper is to analyze the specific contribution of SE entities to the reduction of gender inequalities in the labor market. We conduct an impact analysis with quasi-experimental counterfactual techniques, in which we compare one experimental group (the SE) with a control group (profit-seeking firms) using labor data from Spain for the period 2008–2017. The results indicate that social economy entities significantly contribute to the achievement of SDGs 5, 8 and 10, showing higher female participation, more stable jobs, and a lower degree of the glass-ceiling phenomenon.

In recent decades, fishing sustainability has been subject to intense international debate. Overfishing and contamination of the marine environment are elements that contribute to a reduction in fish stock and catches, often leading to declining income and employment, especially in rural areas. We present a sustainable fisheries model that promotes artisanal fishing while incorporating replacement rates of fish stock and actions that benefit the fishing industry. First, the sustainable fisheries model defines the guidelines and actions that may apply either together or independently, sequentially, or simultaneously, according to a defined budget. These concrete actions are quantified and incorporated into an environmentally extended input-output model to evaluate the economic impact on the Spanish fishing industry. The impact is complemented with an assessment of social impact (employment) and environmental impact (estimated reduction of CO₂ emissions).

Hay plena coincidencia sobre la importancia de las transformaciones sociales y económicas que las Tecnologías de la Información y la Comunicación han originado en las últimas décadas. Las empresas de base tecnológica (EBT) muestran una capacidad extraordinaria para ofrecer nuevas soluciones, tanto a las necesidades emergentes como a otras que han estado insatisfechas por largos períodos de tiempo, y su impacto económico y social es indudable por su aportación al crecimiento económico y por ser elementos indispensables en la transferencia de tecnología desde los sistemas de innovación a los mercados y la sociedad.En este contexto cabe entender el interés de la Economía Social por tener una participación creciente en las actividades de base tecnológica o basadas en el conocimiento. Dicha participación fortalecería el sector, elevando sus tasas de crecimiento a medio y largo plazo; mejorando su contribución relativa a las macromagnitudes autonómicas y estatales; incorporando nuevos perfiles de trabajadores/as y de empresas, y elevando las condiciones laborales medias del sector. Este artículo profundiza en la relación entre las empresas de Economía Social y el emprendimiento de base tecnológica a través de un análisis cualitativo que incorpora la visión de los principales actores. A partir de ese análisis se identifican las principales líneas de avance del sector agrupadas en cuatro ejes: mejora de la visibilidad de la Economía social, acercamiento de la Economía social a los nuevos perfiles de emprendedores de base tecnológica, asesoramiento y acompañamiento en las etapas iniciales, y apoyo en las fases de crecimiento y consolidación.

Despite the massive incorporation of women into the labor market, equal pay for equal work remains a challenge. This article analyzes the influence of gender diversity in management positions on the gender wage gap (GWG) throughout the entire pay scale in Spain. The results show the existence of a GWG, particularly for wages below the average; though it decreases when female participation in management is higher. This is in line with the reduction of information asymmetry problems considered in statistical discrimination theories, which explain the barriers to promotion associated with dynamics at entry-level and low-qualified positions. JEL CLASSIFICATION: C31, J31, J71, M14