
How has the discipline of economics integrated gender as an analytical category and feminist economics? The path has been long but intense over the last five decades, making visible not only the contribution and participation of women, but also addressing gender as a social category that shapes economic processes and as a way to build alternative understandings of the economy. This article examines that trajectory with special emphasis on the Faculty of Economic Sciences at National University of Colombia, drawing on its publications, research projects, and curricula. The available evidence suggests a slow, fragmented, and weakly institutionalized process, in which the inclusion of these perspectives appears to have depended more on individual initiatives than on a deliberate strategy of the Faculty of Economic Sciences. The case of the National University thus allows us to observe the advances and limits of a still incipient process, one that has expanded the presence of women more than the thematic and epistemological openness of the discipline.
The creative and cultural industries have become key drivers of sustainable development, powered by innovation, digitalisation, and new forms of managerial leadership. However, the Covid-19 pandemic reshaped their dynamics, highlighting the need for adaptive and sustainable management models. This study conducts a bibliometric analysis of recent scientific literature on managerial competencies, business models, innovation, and sustainability in order to understand how knowledge in this field has evolved before and after the pandemic. The findings reveal a growing scholarly interest accompanied by a theoretical shift towards digital transformation, cultural governance, and resilience-oriented management. By mapping key trends, authors, and research clusters, the study provides a critical and forward-looking perspective that strengthens academic understanding, informs public policy, and supports strategic decision-making in the global creative economy.
This study adds to the recent literature on contagion due to spillover, examining the presence of pairwise contagion or volatility transmissions between the Chinese and the US capital markets and other 13 international stock market returns during the immediate effects of the COVID-19 pandemic. To achieve this purpose, we employ the diagonal and scalar parameterization of Bollerslev's (1986) generalized autoregressive conditional heteroskedasticity (GARCH) to estimate the multivariate GARCH framework, commonly known as the BEKK (Baba Engle Kraft and Kroner) model, to analyse stock market returns of thirteen international stock markets vs China and the US. Two Distributional assumptions are used: Gauss and t-Student. Intraday data from January 2nd to June 25th, 2020, are used. BEKK models results suggest the Diagonal approach under t-Student Distribution and No-Targeting, in almost all the cases, is the best model to capture the dynamic relationship between the Chinese and the US market and the rest of the indexes. The empirical results show that the model captures the volatility spillovers and display statistical significance for own past mean and volatility with both short- and long-run persistence effects. Originality relies in the extension and size of the sample and approaches employed: thousands of intraday data and thirteen univariate models and more than one hundred multivariate models. The research results have practical, empirical, and social implications in terms of asset allocation, risk management, hedging and provide knowledge on the relationship between stock markets, which are crucial financing spaces in local markets.
This research article analyzes the determinants of community participation aimed at the sustainable use of the forest in eleven neighborhoods of the municipality of El Bagre, Antioquia. A cross-sectional correlational design was employed, based on an ex-post analysis of experimental data and a binary response econometric modeling (Logit). The technical robustness of the analysis was validated through the ROC curve (0.87), demonstrating a high predictive capacity. The results show that interpersonal trust, leadership, and the absence of the State in resolving socially problematic situations are determinants of participation. The work provides relevant empirical evidence on the capacity of bonding social capital for environmental governance initiatives that mitigate anthropogenic pressures in Forest Reserve Zones, such as the Serranía de San Lucas.
This paper extends the Goodwin model of distributive cycles by incorporating endogenous technical change together with an endogenous adjustment of the capitalist saving-investment rate. The extension generates a four-dimensional dynamic system characterized by two oscillatory mechanisms. The first links employment, wages, profitability, and substitution between capital and labor, while the second connects mechanization, productivity, the capital-output ratio, and capitalist investment. As a first approximation, the model parameters are calibrated using data for the United States from 1960 to 2019, and the simulated trajectories are compared with the historical cyclical components of the corresponding variables. The results generate complex oscillations that are relatively comparable to the observed cyclical components and highlight the potential for further research focused on this class of models.