1955 research outputs found
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Ya Falastin: Networks of Resistance Against The Economy of Genocide
This work offers a radical ecological reading of Palestine as a more-than-human subject. What pedagogies emerge when we listen to olive roots, children's voices, poets addressing land as sentient witness? Using the Tree of Life and Death as a methodological metaphor, I trace how pluriversal relational pedagogies form counter-metabolism against capitalism's parasitic logic.
The Tree framework structures analysis: roots hold pre-monotheistic ontologies where earth and body remain inseparable; branches express steadfastness, care, and reciprocity; mycorrhizal networks sustain life while sharing soil with Armillaria – capitalism feeding on death. I map three necro-economic patterns: epistemicide (killing the word “genocide”), economy of genocide ($225 billion through arms/tech/finance), and ecocide (one million olive trees as temporal annihilation).
Palestinian voices persist as epistemologies. When poets address “Ya Falastin,” land becomes a listening subject – trees witness, roots remember, soil responds – these are not testimonies but theory. Counter-hegemonic processes that allow the forest of life to survive depend on unlearning growth ideology and cultivating global solidarities rooted in collective refusal
National Competitiveness in the Western Balkans: Challenges and Opportunities
The main economic factors that influence national competitiveness are GDP growth,
inflation, foreign direct investment and the trade balance. The main objective of this
chapter is to identify the impact of national competitiveness on economic growth in
the Western Balkans. In this context, this chapter will focus on: (1) the theoretical
analysis of clusters as a factor in the competitiveness of an economy and (2) the
analysis of the state of economic reforms and policies that are crucial for the competitiveness of the Western Balkan (WB) countries, with a direct focus on investment
policies and promotion. The study is based on a descriptive analysis of secondary
data from the OECD. The period covered by the investment policy analysis is 2018 to
2024, and the results show that national competitiveness in the WB countries needs
to be further strengthened by improving the business environment, creating better
conditions for investment and promoting innovation, all with the aim of economic
growth in these countries
Scientific output in STEM disciplines and economic growth in the Visegrad Group: the role of industry
The rapid development of science and technology underlines the importance of ongoing analysis of the relationship between scientific output and countries’ economic growth. Despite robust empirical evidence supporting a positive relationship between scientific output and economic growth, the mechanisms through which science contributes to economic growth remain insufficiently understood. Using annual time series data from 1996 to 2022 for the four Visegrad Group countries and applying the Autoregressive Distributed Lag (ARDL) approach, this study examines whether a long-term relationship exists between scientific output in the fields of science, technology, engineering and mathematics (STEM) and economic growth. In addition, the study examines the role of industry as a potential mediating mechanism linking scientific output to tangible economic benefits. The study reveals several key findings: 1) STEM disciplines exhibit a positive long-term relationship with economic growth in the Visegrad countries; 2) not all STEM disciplines demonstrate such a relationship across all four Visegrad countries; 3) in certain Visegrad countries, the relationship between scientific output in specific STEM disciplines and economic growth is either fully or partially mediated by industry. The research provides not only new insights into the intermediary role of industry in linking scientific output with economic benefits, but also practical guidance for policymakers in the Visegrad countries regarding the strategic allocation of research and development (R&D) resources. The findings underscore the need for more differentiated R&D policies that consider country-specific variations in the relationship between science and industry, aiming to ensure the optimal translation of scientific output into tangible economic benefits
Occupational change and employment in agriculture in Serbia
The aim of this paper is to analyze employment trends in Serbian agriculture from 2010 to 2024, focusing on workforce size and occupational structure. We apply descriptive statistics to Eurostat and national Labour Force Survey data to track changes across subsectors and ISCO-08 groups. Our results show that total employment in the economy stayed stable, while agriculture declined continuously, mainly due to reduced self-employment. Agricultural production
lost about one-third of its workforce, reflecting demographic pressures and the erosion of small farms. Forestry and fishing show irregular patterns without long-
term growth. At the same time, the occupational structure remains rigid: skilled
agricultural, forestry, and fishery workers account for over 80% of employment, while other groups stay marginal. These findings confirm global trends of labour
moving away from agriculture but reveal limited progress in Serbia toward
diversification and technological change. These shifts create serious challenges for sustainability and require targeted modernization policies
Digital repositories and researchers’ perceptions of performance: Evidence from Serbia
This study examines researchers’ perceptions of the impact of digital repositories on scientific efficiency and productivity in Serbia, a developing research environment with a national Open Science policy that is still in the development phase. Based on a survey conducted among 326 researchers from universities and research institutes across various disciplines, the analysis explores how professional characteristics, including institution type, academic degree, discipline, and years of experience, affect perceived benefits from repository use. Logistic regression analysis shows that researchers affiliated with institutes, those in the humanities, and mid-career researchers are significantly more likely to perceive that repositories enhance efficiency and productivity. Academic degree alone does not significantly influence perception, suggesting that repository use depends more on institutional environment, disciplinary norms, and practical experience than on formal titles. The findings highlight the importance of institutional support, early integration of repositories into research workflows, and tailored training to maximize usage and benefits. These results provide a foundation for aligning national Open Science policies with everyday research practices, supporting targeted interventions to increase repository adoption and enhance research efficiency and productivity across disciplines
Subsidies as a tool for empowering SMEs: from empirical effects to future opportunities in agri-food sector
Subsidies for small and medium-sized enterprises (SMEs) are the most im-portant agricultural policy instruments in developing countries. They can be used to finance various needs of enterprises in primary agricultural produc-tion, food industry or in rural tourism. The expected impact of the granted subsidies is aligned with the primary objective of the enterprise’s activities: to achieve growing profit as the most significant financial outcome.
The analysis in this paper aims to estimate the impact of subsidies on selected business results of SMEs in Serbia from 2013 to 2018, as well as their align-ment with the basic postulates of business activity. The sample consists of 226 enterprises registered for activities belonging to the agri-food sector. The effects of subsidies were estimated using the econometric analysis of panel data, with net profit as the dependent variable and total assets and total lia-bilities as the independent variables
Regional potential for ICT collaboration in the context of Smart Specialisation in the Western Balkans
This document is a publication by the Joint Research Centre (JRC), the European Commission’s science and knowledge
service. It aims to provide evidence-based scientific support to the European policymaking process. The contents of this
publication do not necessarily reflect the position or opinion of the European Commission. Neither the European Commission
nor any person acting on behalf of the Commission is responsible for the use that might be made of this publication. For
information on the methodology and quality underlying the data used in this publication for which the source is neither
Eurostat nor other Commission services, users should contact the referenced source. The designations employed and the
presentation of material on the maps do not imply the expression of any opinion whatsoever on the part of the European
Union concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation
of its frontiers or boundaries
Investigating female consumers’ environmentally conscious apparel purchase behaviour through stimulus-organism-response framework
The Application of Fractional Calculus in Modeling Economic Growth in Serbia
In this paper, we apply Grünwald–Letnikov-type fractional-order calculus to simulate the growth of Serbia’s gross domestic product (GDP). We also compare the fractional-order model’s results with those of a similar integer-order model. The significance of variables is assessed by the Akaike Information Criterion (AIC). The research demonstrates that the Grünwald–Letnikov fractional-order model provides a more accurate representation compared to the standard integer-order model and performs very accurately in predicting GDP values
Antecedents of fashion-oriented compulsive buying of young consumers: evidence from an emerging economy
The study aims to examine the antecedents of fashion-oriented compulsive buying of young consumers in a heretofore largely under-studied context of an emerging European economy. Data collection was performed on a convenience sample of 386 Serbian respondents, by means of web-based structured questionnaire. The hypothesised relationships were examined by means of partial least squares structural equation modelling (PLS-SEM). The results of the study indicate impulse buying as the most influential direct determinant of compulsive buying, followed by fashion orientation and materialism. The relationship between fashion orientation and compulsive buying was negatively moderated by perceived consumer effectiveness. The study’s findings provide implications for policy-makers, socialisation agents of young consumers (e.g. families, educational institutions, media) and marketers of fashion brands