Decoding Agripreneurship Understanding the Factors that Shape Entrepreneurial Intentions in Agriculture Using the Theory of Behavioral Control

Author(s): Gabriel Wee Wei En^a*, Irving Ting Shou Hui^b 

DOI: doi.org/10.56527/jabm.12.1.6

Keywords: Agripreneurship; entrepreneurial intentions; behavioural control  

Abstract: Utilizing the Theory of Behavioral Control as a conceptual framework, this study investigated the variables that drove individuals to pursue agripreneurship. Agripreneurship, defined as the application of entrepreneurial concepts to agricultural practices, had garnered interest as a means of achieving both food security and sustainable economic growth. The Theory of Behavioral Control underscored the significance of perceived control over behavior in influencing intentions and actions. A quantitative approach was employed in the investigation. Prospective entrepreneurs were interviewed using a quantitative method to assess their perceived behavioral control and identify the specific variables that exerted a significant influence on their choice to pursue agripreneurship. The results yielded valuable insights into the factors impacting individuals' decisions to embark on agripreneurial ventures. By examining the relationship between perceived behavioral control and entrepreneurial aspirations, while considering both covert and overt variables, the study contributed to the existing body of research. The findings served as a valuable lesson for policymakers, educators, and support organizations, highlighting the importance of enhancing perceived control elements to motivate and assist potential agripreneurs. Stakeholders could design targeted interventions aimed at improving people's perceptions of control and fostering an environment conducive to successful agripreneurship, drawing insights from the factors that influenced individuals' decisions to enter the field

Full text download here

References
 

Adeyanju, D., Mburu, J., & Mignouna, D. (2021). Youth agricultural entrepreneurship: Assessing the impact of agricultural training programmes on performance. Sustainability, 13(4), 1697.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.

Alsos, G. A., Ljunggren, E., & Pettersen, L. T. (2003). Farm‐based entrepreneurs: what triggers the start‐up of new business activities? Journal of Small Business and Enterprise Development, 10(4), 435-443.

Barnett, B. J., & Mahul, O. (2007). Weather index insurance for agriculture and rural areas in lower-income countries. American Journal of Agricultural Economics, 89(5), 1241-1247.

Basha, M. B., & Lal, D. (2019). Indian consumers' attitudes towards purchasing organically produced foods: An empirical study. Journal of Cleaner Production, 215, 99-111.

Chen, H., Wang, J., & Huang, J. (2014). Policy support, social capital, and farmers’ adaptation to drought in China. Global Environmental Change, 24, 193-202.

Chiwaula, L. S., Chirwa, G. C., Binauli, L. S., Banda, J., & Nagoli, J. (2018). Gender differences in willingness to pay for capital-intensive agricultural technologies: the case of fish solar tent dryers in Malawi. Agricultural and Food Economics, 6(1), 1-15.

Dash, G., & Paul, J. (2021). CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting. Technological Forecasting and Social Change, 173, 121092.

Dollinger, M. J. (2008). Entrepreneurship. Marsh Publications.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.

Gellynck, X., Cárdenas, J., Pieniak, Z., & Verbeke, W. (2015). Association between innovative entrepreneurial orientation, absorptive capacity, and farm business performance. Agribusiness, 31(1), 91-106.

Guidi, D. (2011). Sustainable agriculture enterprise: Framing strategies to support smallholder inclusive value chains for rural poverty alleviation. CID Research Fellow and Graduate Student Working Paper Series.

Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106-121.

Henchion, M., Moloney, A., Hyland, J., Zimmermann, J., & McCarthy, S. (2021). Trends for meat, milk and egg consumption for the next decades and the role played by livestock systems in the global production of proteins. Animal, 15, 100287.

Jia, X., Bijman, J., Silva, C., & Ranking, M. (2014). Contract farming: Synthetic themes for linking farmers to demanding markets. Contract Farming for Inclusive Market Access, 21-35.

Kapoor, H., & Sharma, S. (2022). Advances in Agriculture. Advances in Agricultural and Horticultural Sciences, 591.

Kline, R. B. (2011). Principles and practice of structural equation modeling (3.Baskı). New York, NY: Guilford, 14, 1497-1513.

Kumar, N. (2019). Agriculture situation in Punjab: An analysis of transformations from labour intensive farming to capital intensive farming. Economic Affairs, 64(2), 431-439.

Lans, T., Seuneke, P., & Klerkx, L. (2020). Agricultural entrepreneurship. Encyclopedia of Creativity, Invention, Innovation and Entrepreneurship, 43-49.

Lim, W. M., & Weissmann, M. A. (2021). Toward a theory of behavioral control. Journal of Strategic Marketing, 1-27.

McElwee, G. (2006). Farmers as entrepreneurs: developing competitive skills. Journal of Developmental Entrepreneurship, 11(03), 187-206.

Mulema, J., Mugambi, I., Kansiime, M., Chan, H. T., Chimalizeni, M., Pham, T. X., & Oduor, G. (2021). Barriers and opportunities for the youth engagement in agribusiness: empirical evidence from Zambia and Vietnam. Development in Practice, 31(5), 690-706.

Muzari, W., Gatsi, W., & Muvhunzi, S. (2012). The impacts of technology adoption on smallholder agricultural productivity in sub-Saharan Africa: A review. Journal of Sustainable Development, 5(8), 69.

Ouko, K. O., Ogola, J. R. O., Ng’on’ga, C. A., & Wairimu, J. R. (2022). Youth involvement in agripreneurship as Nexus for poverty reduction and rural employment in Kenya. Cogent Social Sciences, 8(1), 2078527.

Rao, M., & Kumar, K. (2016). Agripreneurship for sustainable growth in agriculture and allied sectors: A conceptual model. Man in India, 96(5), 1633-1641.

Ray, P., Panigrahi, R., & Mohapatra, B. (2022). Prioritising agripreneurial skills required for farm youth: a fuzzy analytic hierarchy approach. Journal of Agricultural Science and Technology, 24(3), 567-578.

Shaffril, H. A. M., Krauss, S. E., & Samsuddin, S. F. (2018). A systematic review on Asian's farmers' adaptation practices towards climate change. Science of The Total Environment, 644, 683-695.

Sheehan, O., Watts, J., Gray, R. D., & Atkinson, Q. D. (2018). Coevolution of landesque capital intensive agriculture and sociopolitical hierarchy. Proceedings of the National Academy of Sciences, 115(14), 3628-3633.

Singh, S., Kaur, M., & Kingra, H. (2008). Indebtedness among farmers in Punjab. Economic and Political Weekly, 130-136.

Thompson, E. R. (2009). Individual entrepreneurial intent: Construct clarification and development of an internationally reliable metric. Entrepreneurship Theory and Practice, 33(3), 669-694.

Wang, L.-H., Yeh, S.-S., Chen, K.-Y., & Huan, T.-C. (2022). Tourists’ travel intention: Revisiting the TPB model with age and perceived risk as moderator and attitude as mediator. Tourism Review, 77(3), 877-896.

Ziso, D., Chun, O. K., & Puglisi, M. J. (2022). Increasing Access to Healthy Foods through Improving Food Environment: A Review of Mixed Methods Intervention Studies with Residents of Low-Income Communities. Nutrients, 14(11), 2278.