1,720,963 research outputs found

    STARTUPS AGRIFOODTECH: un análisis exploratorio para Argentina y consideraciones sobre su impacto en la concentración de los mercados de insumos agrícolas

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    Las cadenas globales de valor agroalimentarias (CGVA) enfrentan presiones para mejorar su productividad y sustentabilidad ambiental. En este marco, las startups AgriFoodTech emergen como actores clave de la Agricultura 4.0, introduciendo tecnologías digitales que prometen eficientizar la producción y transformar la dinámica industrial de las CGVA. El presente trabajo tiene un doble propósito. En primer lugar, caracterizar las soluciones ofrecidas por las startups AgriFoodTech argentinas en términos de sus dimensiones socioeconómicas y tecnológicas. En segundo lugar, explorar el potencial de las soluciones de agricultura digital para influir en la concentración de los mercados globales de insumos agrícolas. En el trabajo se identificaron, caracterizaron y clasificaron 265 startups argentinas vinculadas a la agricultura digital. Los resultados indican que son empresas jóvenes orientadas a soluciones “tranqueras adentro”, ofreciendo tecnologías que no vienen a reemplazar las existentes, sino más bien son mayoritariamente complementarias a las mismas. Al menos en su estado actual, las startups muestran un potencial de impacto limitado para desafiar la posición dominante de las empresas líderes en los mercados de insumos agrícolas. Este análisis contribuye a comprender la relación entre innovación y concentración en las CGVA, brindando así nuevas perspectivas para startups, empresas consolidadas y hacedores de políticas públicas.Global agri-food value chains (GVCs) face increasing pressure to enhance productivity and environmental sustainability. In this context, AgriFoodTech startups have emerged as key players in Agriculture 4.0, introducing digital technologies that promise to improve production efficiency and transform the industrial dynamics of GVCs. This study has two main objectives. First, to characterize the solutions offered by Argentine AgriFoodTech startups in terms of their socioeconomic and technological dimensions. Second, to explore the potential of digital agriculture solutions to influence the concentration of global agricultural input markets. The study identified, characterized, and classified 265 Argentine startups linked to digital agriculture. The findings reveal that these are young companies focused on upstream solutions, offering technologies that predominantly complement, rather than replace, existing ones. At least in their current state, these startups show limited potential to challenge the dominant position of leading companies in agricultural input markets. This analysis contributes to understand the relationship between innovation and concentration in GVCs, thus providing new insights for startups, established firms and policymakers.Arraigada, Julián Francisco. Facultad de Ciencias Económicas y Estadistica. Escuela de Economía. Unr. Argentin

    The impact of producers' cognitive styles on their purchasing behavior

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    This paper inquires on the impact of cognitive styles over the decision-making process producers perform while making input and capital equipment purchases. We will question if Argentine farmers with diverse cognitive styles have different purchasing behaviors when buying the inputs they use in their farming operations. Cognitive styles express differences in the way decision-makers process information and organize knowledge. Results show that different segments of producers have distinctive purchasing behaviors. Specifically, analytic-oriented producers tend to focus more on product performance and less on the relationship with suppliers when buying their inputs. They also tend to be loyal to input brands, they rely less on dealers/retailers and salespeople, and they are willing to change suppliers more often than other producers. Intuitive-oriented producers value more the relationship with the supplier and are interested in contacting the salesperson if they need a product. While balanced-oriented producers declare to be less loyal to brands but are more stable in terms of not changing input suppliers frequently. This characterization of producers has important business implications, since identifying and segmenting the different types of producers with different cognitive styles and distinctive buying profiles is a key aspect of the strategic marketing plan of any company in the input markets. To our knowledge, this is the first paper on the topic of cognitive styles of Argentine producers and their impact on their purchasing behaviors.Fil: Feeney, Roberto Juan. Universidad Austral. Facultad de Cs.empresariales. Centro de Agronegocios.; ArgentinaFil: Accursi, Federico Mario. Universidad Austral. Facultad de Cs.empresariales. Centro de Agronegocios.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Mac Clay, Pablo. Universidad Austral. Facultad de Cs.empresariales. Centro de Agronegocios.; Argentin

    Bioeconomic innovations breeding more sustainable innovations: A value chain perspective from Argentina

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    Innovations are crucial for the transition to a sustainable bioeconomy. They are embedded in and linked to complex value chains, but these interrelationships have not received much attention in the empirical literature yet. Using current typologies of four bioeconomic innovation types and six value chain models, this case study analyzes detailed data from 11 companies in Argentina to identify the drivers of sustainable innovations, their linkage to different value chain characteristics, and the maininnovation types. The results show that certain factors such as supply and demand, interindustry cooperation and R&D, diversification strategies, personal values and the search for sustainable solutions particularly shape certain types of innovation. The structure and governance of the value chains influence the type of sustainable innovation. Innovations take place at different levels, and in succession, they complement each other and can thus make the bioeconomy more sustainable. Therefore, appropriate policies to promote the bioeconomy in Argentina and beyond should consider the type of value chains and specific innovation systems involved.Fil: Dürr, Jochen. Universitat Bonn; AlemaniaFil: Sili, Marcelo Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur; ArgentinaFil: Mac Clay, Pablo. Universitat Bonn; Alemania. Universidad Austral. Facultad de Cs.empresariales. Centro de Agronegocios.; ArgentinaFil: Sellare, Jorge. University of Agriculture Wageningen; Países Bajo

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Essays on the nexus between technological change, policies, and value chain governance for a transition towards a low-carbon economy

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    Technological change is essential to reconciling economic growth with environmental conservation. A transition toward an environmentally sustainable economic system requires new production techniques that improve land use efficiency, increase yields, reduce chemical input applications, prioritize low-carbon energy sources, and integrate new (non-fossil) raw materials. However, even when technical change promises to safeguard environmental sustainability, it is not a sufficient condition to reach inclusive growth since it is non-neutral from a social perspective. Balancing multiple goals to ensure a just transition requires consistency between governing institutions and technological advances, which is a two-way relationship: some governance schemes may be more conducive to fostering technical change, whereas new governance patterns and institutions emerge in response to innovations. This Ph.D. dissertation explores the nexus between technical change, policies, and value chain governance from different points of view in three separate chapters, each focusing on a different technology set: bio-based technologies, technological innovations in agri-food systems, and renewable energy. In the first chapter, I explore from a conceptual perspective the nexus between organizational characteristics of bio-based value chains and technological innovations in the transition to a bioeconomy. Moving away from the fossil-based production paradigm into a bio-based economy that creates economic value added with minimum environmental impacts requires substantial investments in technological innovations. These innovations will likely affect how value chains are structured and which actors benefit from this transformation. Accelerated bioeconomy innovation is associated with shorter and more vertically coordinated value chains, a leading role by dominant firms, and higher levels of cooperation among firms with core research capabilities. These organizational features entail welfare effects for value chain actors, leading to potential trade-offs between greenhouse gases (GHG) emissions mitigation and social inclusion. In the second chapter, I discuss the entrepreneurial landscape of innovations that promise to revolutionize agri-food systems, covering the entire value chain from farming inputs to last-mile delivery. Using Crunchbase as the primary data source and applying machine learning for natural language processing, the purpose of this chapter is twofold: first, identify which technologies have been receiving the most support from investors, and second, analyze the corporate strategies of the largest agri-food multinational companies regarding their investments in new technologies. The results for the first goal show an imbalanced scene in which downstream technologies capture most investors’ interest. As for the second goal, three trends of investments by dominant agri-food firms are identified: upgrading strategies to improve their core activities, defensive strategies to control technologies that compete with their business, and corporate portfolio strategies to seize profit opportunities. Given that the adoption of many clean technologies is still low in many regions of the world, in the third chapter, I delve into the role of policy design in fostering technology adoption to reach low-carbon production systems. For this purpose, I focus specifically on studying how institutional quality and macroeconomic instability mediate the effects of auctions in promoting investments in renewable energy technologies. The analysis is built upon a differences-in-differences analysis considering staggered treatment adoption. Findings show that auctions positively affect RE capacity, but average treatment effects are higher for countries with better business environments. Thus, caution is needed in adopting this instrument, especially in countries exposed to macroeconomic or institutional instability. At the same time, dynamic treatment effects suggest that the policy needs time to show results. Based on the findings in this study, policymakers should account for the fact that the surrounding governing institutions condition the effects of technical change over different sustainability dimensions. While synergies between economic and social dimensions are more evident, balancing these two dimensions and environmental goals is not always straightforward and requires fine-tuning in policy design. From the perspective of business managers and entrepreneurs, it is essential to acknowledge that new value chains will emerge, and the traditional ones will reconfigure, opening new business opportunities in which sustainability aspects are at the core of the strategy

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

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