Promoting innovation adoption in the agricultural sector: the case of Lithuania and the Czech Republic
DOI:
https://doi.org/10.51599/are.2025.11.02.01Keywords:
agricultural economics, agricultural innovation, agricultural indicators, agricultural productivity, organic farms.Abstract
Purpose. The purpose of the study – to assess the differences in agricultural innovativeness in Lithuania and the Czech Republic and to explain the need and ways of promoting agricultural innovativeness in both countries.
Methodology / approach. First, a comparative analysis of statistical data was conducted (a quantitative study). Data from the Statistical Office of the Republic of Lithuania and the Czech Republic, Eurostat, and the United States Department of Agriculture (USDA) were used for the analysis. Lithuanian agricultural indicators were evaluated in the context of the EU. Additionally, 10 experts were interviewed (a qualitative study). Five experts were interviewed from each of Lithuania and the Czech Republic. The interviews were conducted using a semi-structured approach.
Results. The study reveals that farmers in both the Czech Republic and Lithuania face obstacles in obtaining financial support for innovation and in accessing information about cutting-edge farming techniques, regardless of the size of their farms. However, the situation in the Czech Republic is somewhat less complex due to its larger agricultural sector, making the issue of financial support for innovation more straightforward to navigate compared to Lithuania. Farmers in both countries demonstrate a favourable attitude toward innovation. The study presents practical recommendations for enhancing the agricultural innovation ecosystem and the adoption of innovations in the agricultural sector. It emphasises the need to simplify the application process for financial assistance and improve communication strategies so that farmers are well informed and prepared to implement new technologies. Furthermore, it calls for increased community-building initiatives among farmers to foster an environment conducive to knowledge sharing and collaboration. Insights from expert interviews indicate that providing personalised advice and customised training programs can significantly bolster the ability of small and medium-sized farms to innovate and compete effectively not only in the local market but also in global ones.
Originality / scientific novelty. This article contributes to the academic discourse on agricultural innovation by providing a comparative analysis of the innovativeness of the agricultural sectors in two different Central and Eastern European countries. It uniquely addresses many challenges faced by farmers, including environmental concerns, limited access to financial support, and a shortage of qualified agricultural experts. The novelty of the study lies in its dual methodology – combining quantitative data from statistical analyses with qualitative insights from expert interviews.
Practical value / implications. This approach not only enriches the understanding of agricultural innovation in Lithuania and the Czech Republic but also highlights the need for tailored strategies that take into account the specific socio-economic contexts of small and medium-sized farms. By identifying the barriers to innovation adoption and highlighting the differences in agricultural policies and practices between the two countries, this research provides valuable practical insights for policymakers and stakeholders seeking to improve agricultural productivity and sustainability.
References
Amabile, T. M. (2020). Creativity, artificial intelligence, and a world of surprises. Academy of Management Discoveries, 6(3). https://doi.org/10.5465/amd.2019.0075.
Baležentis, T., & Štreimikienė, D. (2015). Efficiency and productivity regularities in Lithuanian agriculture: a research synthesis. Sustainable development problems and solutions in Lithuania (pp. 234–259). Vilnius. Available at: https://app.ekvi.lt/uploads/Efektyvumo_produktyvumo_desningumai_9e8e078cac.pdf.
Bennett, D. J., & Jennings, R. C. (Eds.) (2013). Successful agricultural innovation in emerging economies: new genetic technologies for global food production. New York, Cambridge University Press. Available at: https://assets.cambridge.org/97811070/26704/copyright/9781107026704_copyright_info.pdf.
Benton, T. G., & Bailey, R. (2019). The paradox of productivity: agricultural productivity promotes food system inefficiency. Global Sustainability, 2, e6. https://doi.org/10.1017/sus.2019.3.
Bičkauskė, D., Šermukšnytė-Alešiūnienė, K., Simanavičienė, Ž., & Kowalska, K. (2020). Challenges of digital transformation in the agri-food sector. Sociálno-Ekonomická Revue, 2, 12–19. Available at: https://app.ekvi.lt/uploads/Challenges_of_Digital_Transformation_c060cbc2c8.pdf.
Blakeney, M. (2022). Agricultural innovation and sustainable development. Sustainability, 14(5), 2698. https://doi.org/10.3390/su14052698.
Corrales-Estrada, M. (2019). Innovation and entrepreneurship: a new mindset for emerging markets. Emerald Publishing. Available at: https://www.emerald.com/insight/publication/doi/10.1108/9781789737011.
Czech Statistical Office (2023). Economic accounts for agriculture. Available at: https://csu.gov.cz/economic-accounts-for-agriculture?pocet=10&start=0&podskupiny=274&razeni=-datumVydani.
Čechura, L., Žáková Kroupová, Z., & Lekešová, M. (2022). Productivity and efficiency in Czech agriculture: does farm size matter? Agricultural Economics – Czech, 68(1), 1–10. https://doi.org/10.17221/384/2021-agricecon.
Dadelytė, E., & Mačiulytė-Šniukienė, A. (2020). The impact of technological innovation on the competitiveness of telematics companies. Science – Lithuania’s Future, 12, 1–11. https://doi.org/10.3846/mla.2020.12433.
Eurostat (2022). Performance of the agricultural sector. Available at: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Performance_of_the_agricultural_sector.
Farsani, E. D., Choobchian, S. & Naghani, M. S. (2024). Unlocking agricultural innovation: a roadmap for growth and sustainability. Journal of the Knowledge Economy, 15, 17751–17771. https://doi.org/10.1007/s13132-024-01860-w.
FAO (2018). Productivity and efficiency measurement in agriculture. Available at: https://openknowledge.fao.org/server/api/core/bitstreams/dcd4edfc-f7d5-4872-8996-5612c87446d6/content.
Fischer, J. (2020). Czech Republic sees solid harvest despite initial drought. Report. USDA; GAIN. Available at: https://apps.fas.usda.gov/newgainapi/api/Report/DownloadReportByFileName?fileName=Czech%20Republic%20Sees%20Solid%20Harvest%20Despite%20Initial%20Drought_Prague_Czech%20Republic_09-20-2020.
Glod, W., & Wronka-Pospiech, M. (2015). The relationships between organization culture and management innovation in polish enterprises. MakeLearn & TIIM 2015. Managing Intellectual Capital and Innovation for Sustainable and Inclusive Society, 27–29 May, Bari. https://doi.org/10.13140/RG.2.1.1439.0802.
Heisey, P. W., & Fuglie, K. O. (2018). Agricultural Research Investment and Policy Reform in High-Income Countries. ERR-249, U.S. Department of Agriculture, Economic Research Service. Available at: https://ers.usda.gov/sites/default/files/_laserfiche/publications/89114/ERR-249.pdf?v=99940.
Jámbor, A., Czine, P., & Balogh, P. (2020). The impact of the coronavirus on agriculture: first evidence based on global newspapers. Sustainability, 12(11), 4535. https://doi.org/10.3390/su12114535.
Jewell, D. O., Jewell, S. F., & Kaufman, B. E. (2020). Designing and implementing high-performance work systems: Insights from consulting practice for academic researchers. Human Resource Management Review, 32(1), 100749. https://doi.org/10.1016/j.hrmr.2020.100749.
Kardelis, K. (2017). Research methodology and methods, 2nd ed. Vilnius, Science and Encyclopedias Publishing Center.
Krušinskas, R., & Benetytė, R. (2014). Innovation in the context of firm performance: a theoretical perspective. Science and Studies of Accounting and Finance: Problems and Perspectives, 9(1), 77–81. Available at: https://epubl.ktu.edu/object/elaba:3407849.
Labarthe, P., Coléno, F., Enjalbert, J., Fugeray-Scarbel, A., Hannachi, M., & Lemarié, S. (2021). Exploration, exploitation and environmental innovation in agriculture. The case of variety mixture in France and Denmark. Technological Forecasting and Social Change, 172, 1210–1228. https://doi.org/10.1016/j.techfore.2021.121028.
Ma, B., & Yu, D. (2021). Research on the influence of R&D human resources on innovation capability-Empirical research on GEM-listed enterprises of China. Managerial and Decision Economics, 42(3), 751–761. https://doi.org/10.1002/mde.3270.
Maziliauskas, A., Baranauskienė, J., & Pakeltienė, R. (2018). Factors of effectiveness of European innovation partnership in agriculture. Management Theory and Studies for Rural Business and Infrastructure Development, 40(2), 216–231. Available at: https://ejournals.vdu.lt/index.php/mtsrbid/article/view/95.
Czech Statistical Office (2024). Available at: https://vdb.czso.cz/vdbvo2/faces/en/index.jsf?page=statistiky#katalog=30840.
Mwagi, M., & Kariuki, S. (2015). Factors determining adoption of new agricultural technology by smallholder farmers in developing countries. Journal of Economics and Sustainable Development, 6(5), 208–218. Available at: https://www.iiste.org/Journals/index.php/JEDS/article/view/20710/21632.
OECD/Eurostat (2018). Oslo Manual 2018: guidelines for collecting, reporting and using data on innovation, 4th ed. The measurement of scientific, technological and innovation activities. OECD Publishing, Paris. https://doi.org/10.1787/9789264304604-en.
Ouiminga, I. (2018). Profitability in a sustainable agricultural production system: an approach by the soil and water conservation. In A. Shimeles, A. Verdier-Chouchane, A. Boly (Eds.), Building a Resilient and Sustainable Agriculture in Sub-Saharan Africa. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-76222-7_7.
Olum, S., Gellynck, X., Juvinal, J., Ongeng, D., & De Steur, H. (2020). Farmers’ adoption of agricultural innovations: a systematic review on willingness to pay studies. Outlook on Agriculture, 49(3), 187–203. https://doi.org/10.1177/0030727019879453.
Padgureckienė, A. (2015). Innovation, research and experimental development for national competitiveness. Science and Educational Processes, 2(21), 45–53. Available at: https://vb.svako.lt/object/elaba:15152632.
Pilipavičius, V. (2017). Innovation implementation in the development of small and medium-sized agribusiness in Lithuania. Management Science and Studies for the Development of Rural Businesses and their Infrastructure, 39(2), 234–244. Available at: https://www.ateitis.net/lt/temos/1620.
Pouvreau, B., Vanhercke, T., & Singh, S. (2018). From plant metabolic engineering to plant synthetic biology: the evolution of the design/build/test/learn cycle. Plant Science, 273, 3–12. https://doi.org/10.1016/j.plantsci.2018.03.035.
Pue, K., Vandergeest, C., & Breznitz, D. (2015). Toward a theory of social innovation. Innovation Policy Lab White Paper 2016-01. Available at: http://www.transitsocialinnovation.eu/content/original/Book%20covers/Local%20PDFs/216%20SOCINN%20White%20Paper%20SI%20theory%202016.pdf.
Ramanauskas, J., & Kirstukas, J. (2009). Developing innovation in farm modernisation. Management Science and Studies – for the Development of Rural Businesses and Their Infrastructure, 18(3), 50–58. Available at: https://www.researchgate.net/publication/280229178.
Rijswijk, K., Klerkx, L., Bacco, M., Bartolini, F., Bulten, E., Debruyne, L., Dessein, J., … & Brunori, G. (2021). Digital transformation of agriculture and rural areas: a socio-cyber-physical system framework to support responsibilisation. Journal of Rural Studies, 85, 79–90. https://doi.org/10.1016/j.jrurstud.2021.05.003.
Rizzo, G., Migliore, G., & Schifani, G. (2024). Key factors influencing farmers’ adoption of sustainable innovations: a systematic literature review and research agenda. Organic Agriculture, 14, 57–84. https://doi.org/10.1007/s13165-023-00440-7.
Singh, L., Joseph, K. J., & Johnson, D. K. (Eds.) (2015). Technology, Innovations and Economic Development. Essays in Honour of Robert E. Evenson. SAGE Publications India. Available at: https://www.researchgate.net/publication/301519849.
Sreejesh, S., Mohapatra, S., & Anusree, M. (2014). Business Research Methods. Springer. Available at: https://www.researchgate.net/publication/258227256_16.
Sund, K. J., Galavan, R. J., & Brusoni, S. (2018). Cognition and innovation: a framework and invitation to explore. In K. J. Sund, R. J. Galavan, & S. Brusoni (Eds.), Cognition and Innovation (New Horizons in Managerial and Organizational Cognition, vol. 3) (pp. 1–11). Bingley, Emerald. https://doi.org/10.1108/978-1-78769-431-620181001.
Statistics Lithuania (2020). Number of farms using different type of farming, calculated in different economic size classes. Available at: https://osp.stat.gov.lt/statistiniu-rodikliu-analize?indicator=S9R294#/.
Statistics Lithuania (2023a). Business in Lithuania. Available at: https://osp.stat.gov.lt/verslas-lietuvoje-2023/zemes-ukis.
Statistics Lithuania (2023b). Utilised agricultural land area, number of farms. Available at: https://osp.stat.gov.lt/statistiniu-rodikliu-analize?hash=65804854-da01-4e0c-a2fc-28078ca29895.
Toillier, A., Faure, G., & Chia, E. (2018). Designing and organizing support for collective innovation in agriculture. In G. Faure, Y. Chiffoleau, F. Goulet, L. Temple, J.-M. Touzard (Ed.), Innovation and Development in Agricultural and Food Systems (pp. 108–121). https://agritrop.cirad.fr/589871/1/ID589871.pdf.
USDA (2024). International Agricultural Productivity. Available at: https://www.ers.usda.gov/data-products/international-agricultural-productivity.
Valentinavičius, S. (2006). Problems and opportunities in innovative business development. Ekonomika, 74, 108–129. Available at: https://etalpykla.lituanistika.lt/fedora/objects/LT-LDB-0001:J.04~2006~1367154745714/datastreams/DS.002.0.01.ARTIC/content.
Van Es, H., & Woodard, J. (2017). Innovation in agriculture and food system in digital age. Available at: https://www.wipo.int/edocs/pubdocs/en/wipo_pub_gii_2017-chapter4.pdf.
Vidickienė, D., Melnikiene, R., & Gedminaitė-Raudonė, Z. (2013). Motives and barriers to innovation in Lithuanian farms. Management Theory and Studies for Rural Business and Infrastructure Development, 35(1), 140–149. Available at: https://app.ekvi.lt/uploads/Publication_4b9c796954.pdf.
Wang, C. L., & Ahmed, P. K. (2004). The development and validation of the organisational innovativeness construct using confirmatory factor analysis. In European Journal of Innovation Management, 7(4), 303–313. https://doi.org/10.1108/14601060410565056.
