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Do linkages between farmers and academic researchers influence researcher productivity? The Mexican case

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  • Rivera-Huerta, René
  • Dutrénit, Gabriela
  • Ekboir, Javier Mario
  • Sampedro, José Luis
  • Vera-Cruz, Alexandre O.

Abstract

A growing body of literature is focusing on how the collaborations researchers engage in affect their productivity. Most authors have focused on linkages among academic researchers, measuring productivity by the number of papers published in ISI journals. In contrast, the impact of interactions between academic researchers and the business sector on research productivity has been less analyzed. The aim of this paper is to analyze how broadly defined research productivity (papers, new recommendations and new techniques) in agriculture-related fields is affected by the nature of academy-farmers interactions. This latter was approached through two dimensions: the breadth of linkages and their intensity, measured by the duration, in two different modalities (R&D activities and consultancy). Based on original micro data obtained through a survey of researchers working in universities and PRCs in agriculture-related fields, we built three models, one per output, to identify the effect of the nature of interactions on research productivity. The models were estimated with a negative binomial distribution using Maximum Likelihood estimators. We found a positive relationship between interaction with farmers and publishing of papers when interactions are carried out through the R&D modality. We also found that the impact of the nature of interactions on research productivity differs according to the type of research output. The impact is broader in the case of new recommendations than in the other outputs. The production of new recommendations is positively influenced by both the breadth of linkages and their duration through both modalities of interaction (R&D and consultancy).

Suggested Citation

  • Rivera-Huerta, René & Dutrénit, Gabriela & Ekboir, Javier Mario & Sampedro, José Luis & Vera-Cruz, Alexandre O., 2011. "Do linkages between farmers and academic researchers influence researcher productivity? The Mexican case," Research Policy, Elsevier, vol. 40(7), pages 932-942, September.
    • Handle: RePEc:eee:respol:v:40:y:2011:i:7:p:932-942
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    2. Glenda Kruss & Mariette Visser, 2017. "Putting university–industry interaction into perspective: a differentiated view from inside South African universities," The Journal of Technology Transfer, Springer, vol. 42(4), pages 884-908, August.
    3. Yury Dranev & Maxim Kotsemir & Boris Syomin, 2018. "Diversity of research publications: relation to agricultural productivity and possible implications for STI policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1565-1587, September.
    4. Lin, Jun-You, 2017. "Balancing industry collaboration and academic innovation: The contingent role of collaboration-specific attributes," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 216-228.
    5. Mulyanto,, 2014. "Performance of Indonesian R&D institutions: Influence of type of institutions and their funding source on R&D productivity," Technology in Society, Elsevier, vol. 38(C), pages 148-160.
    6. Hua Cheng & Zhiying Zhang & Qing Huang & Zhongju Liao, 2020. "The effect of university–industry collaboration policy on universities’ knowledge innovation and achievements transformation: based on innovation chain," The Journal of Technology Transfer, Springer, vol. 45(2), pages 522-543, April.
    7. Grabowski, Philip & Kerr, John & Donovan, Cynthia & Mouzinho, Bordalo, 2015. "A Prospective Analysis of Participatory Research on Conservation Agriculture in Mozambique," Food Security Collaborative Working Papers 198703, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    8. Mulyanto,, 2016. "Productivity of R&D institution: The case of Indonesia," Technology in Society, Elsevier, vol. 44(C), pages 78-91.
    9. A. Baccini & L. Barabesi & M. Cioni & C. Pisani, 2014. "Crossing the hurdle: the determinants of individual scientific performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 2035-2062, December.
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    11. De Fuentes, Claudia & Dutrénit, Gabriela, 2012. "Best channels of academia–industry interaction for long-term benefit," Research Policy, Elsevier, vol. 41(9), pages 1666-1682.

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