Determinants of Agri‐food Firms’ Participation in Public Funded Research and Development

García-Álvarez-Coque, José-María; Más‐Verdú, Francisco; García, Mercedes Sánchez

doi:10.1002/agr.21407

Cited by 27 publications

(18 citation statements)

References 98 publications

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“…A LLS is considered urban if its population density is higher than 150 inhabitants per square SABI and Eurostat (2015). a Industry-level data is only available for the processing of food and drinks (NACE 10,11). kilometer (OECD, 1994;García-Alvarez-Coque et al, 2013). While Navarre primarily consists of larger, rural districts (12 out of 14), Valencia is mainly comprised of smaller districts of which a high fraction (48 out of 83) is urban (Boix & Galletto, 2005).…”

Section: Methodsmentioning

confidence: 99%

What drives firm profitability? A multilevel approach to the Spanish agri-food sector

Zouaghi¹,

Sánchez

Hirsch

2017

Span. j. agric. res.

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Strategic management research has demonstrated the importance of firm-and industry structure as drivers of firm profitability. However, less is known about how firms´ geographical locations affect profitability. Applying a multi-level approach of hierarchical linear modeling we estimated firm-, industry-, and region-specific effects on profitability of 3,273 agri-food firms operating in different Spanish districts over the time span 2006-2013. The results reveal the dominance of firm-specific effects which contribute up to 48.8% to variance in firm profitability while the contribution of industry effects (0.8-4.2%), geographical location (0.1-1.8%), and year effects (0.1-2.5%) is rather small. Moreover, firm size, risk, and innovative activity turn out as significant profit drivers at the firm level. Although firm-effects outweigh industry-and region-specific factors, the results indicate that industry concentration as well as regional education and unemployment influence profitability. In addition, proximity to technological institutes as well as the degree of urbanization of the region in which a firm operates can be drivers of profitability. Hence, despite the superiority of firm effects the results indicate that agri-food managers should also consider possible advantages from location-based resources in order to ensure competitiveness.Additional keywords: agri-food profits; firm-, industry-, and location effects; hierarchical linear model.

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Section: Methodsmentioning

confidence: 99%

What drives firm profitability? A multilevel approach to the Spanish agri-food sector

Zouaghi¹,

Sánchez

Hirsch

2017

Span. j. agric. res.

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“…Pascucci and De‐Magistris () associate farm size with organizational complexity as a factor for farmers’ technology choices. García‐Álvarez‐Coque, Mas‐Verdú, and Sanchez‐García () highlight the problems that small and medium enterprises in the agri‐food sector face to carry out R&D projects in partnership with universities and research centres. However, large farmers may have better connections with agribusiness and lower incentives to collaborate with public RDS.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Innovative capabilities of users of agricultural R&D services

Ramos-Sandoval

Álvarez-Coque

Más‐Verdú

2019

Regional Science Policy & Practice

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Innovation at farms is crucial to face technological, environmental and social challenges of the agricultural sector. Our hypothesis is that access from farmers to research & development services (RDS) is enhanced by certain entrepreneurial attributes (market orientation and learning orientation) as well as by their innovative attitude and human capital, as innovation capabilities. We explore the role of these factors in a sample of farmers in a region of Spain (Valencian Community), which is a context dominated by small and medium-sized farms. Through a logistic equation modelling approach, we tested the conditions that increase the likelihood to be users of RDS. Our findings suggest that both strategic and innovation capabilities, as well as a high level of formal education, are positively correlated with farmer's willingness to make use of RDS, while the largest group of farms shows a lower probability of adoption of RDS. Policies promoting knowledge intensive support services can pay attention to the fact that more innovative and educated farmers are also those who interact more with RDS, even in a context where small and medium-sized farms prevail. Reg Sci Policy Pract. 2019;11:295-305. wileyonlinelibrary.com/journal/rsp3 295 2 | CONCEPTUAL FRAMEWORK According to Touzard, Temple, Faure, and Triomphe (2015), despite the complexity of the AKIS, an interactionist view of innovation suggests to explore the key factors that influence the farmers' participation in the innovation networks. 296RAMOS-SANDOVAL ET AL.

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“…This finding is supported by the idea that vicinities establish links strengthening information flows between them (Giacomini and Mancini, ). In addition, spatial agglomerations generate economies of scale materialized in best access to the different firms’ resources (García‐Álvarez‐Coque et al., ). Therefore, geographical proximity causes spatial interactions between agri‐food companies enhancing the competitiveness and productivity of the companies located in this area.…”

Section: Conclusion and Policy Implicationsmentioning

confidence: 99%

“…From this perspective, peer firms physically close among them develop positive externalities thanks to the synergies of joint interest and information flows between them (Giacomini and Mancini, ). This cooperation between neighboring companies generate positive externalities: external economies of scale, lower transport costs, transfer of information, workers, and equipment or lower informational asymmetry between supply and demand which strengthens the competitive capacity of agri‐food firms (García‐Álvarez‐Coque et al., ; Giacomini and Mancini, ).…”

Section: Introductionmentioning

confidence: 99%

Spatial determinants of productivity growth on agri‐food Spanish firms: a comparison between cooperatives and investor‐owned firms

Martínez-Victoria

Maté‐Sánchez‐Val

Arcas‐Lario

2018

Agricultural Economics

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This study analyses the effect of the spatial factor, location, and interaction effects among peer companies, on the productivity growth of agri-food companies in Spain. With this aim, we build a productivity growth index and apply a multiequational Seemingly Unrelated Regression on a sample of 344 Spanish cooperatives and investor-owned firms for the period 2010-2012. Our findings show that agri-food firms are influenced by spatial factors finding interesting differences between cooperatives and investor-owned firms. With regard to the geographical location, cooperatives in the western of Spain show higher productivity growth rates, whereas investor-owned firms in the northeast of Spain present better results. The interaction effect among closer peer companies is also a relevant factor to determine the productivity growth in agri-food companies. This factor is more relevant for cooperatives than for investor-owned firms.JEL classifications: D24, Q13, C31, R11, D22, P13

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Determinants of Agri‐food Firms’ Participation in Public Funded Research and Development

Abstract: Determinants of agri-food firms' participation in public funded

Cited by 27 publications

References 98 publications

What drives firm profitability? A multilevel approach to the Spanish agri-food sector

What drives firm profitability? A multilevel approach to the Spanish agri-food sector

Innovative capabilities of users of agricultural R&D services

Spatial determinants of productivity growth on agri‐food Spanish firms: a comparison between cooperatives and investor‐owned firms

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