Farmers' Intentions for Sustainable Fertilizer Practices: A Study of Shallot Farmers
DOI:
10.29303/jppipa.v10iSpecialIssue.7852Published:
2024-08-25Issue:
Vol. 10 No. SpecialIssue (2024): Science Education, Ecotourism, Health ScienceKeywords:
Farmer decisions, Sustainable agricultural practices, Technology acceptance modelResearch Articles
Downloads
How to Cite
Downloads
Metrics
Abstract
Sustainable fertilizer practices are needed in the context of resource degradation, climate change and population growth. Farmers' decisions to adopt sustainable agricultural practices are influenced by economic, psycho-social and technological availability aspects. This research aims to explain the factors that influence farmers' decisions to adopt sustainable fertilizer practices. The research model uses the basic Technology Acceptance Model (TAM) and adds the socio-cultural dimension of farmers. The research was carried out by taking the case of shallot farmers' decisions regarding the use of fertilizer. The research was carried out using a survey approach of 111 shallot farmers taken using proportional sampling in the shallot production center of Brebes Regency, Central Java, Indonesia. Data were analyzed using Structural Equation Modeling-Partial Least Square (SEMPLS). The research results found that farmers' attitudes towards adopting sustainable fertilizer practices were influenced by factors such as perceived usefulness, perceived ease of use, and social influence, while farmers' intentions to adopt sustainable fertilizer practices were influenced by farmers' attitudes and habits. The conclusions of this study have implications for technological development and socio-cultural aspects to scale up sustainable fertilizer practices.
References
Adnan, N., Nordin, S., Ari, M., & Hussen, A. (2019). Trends in Food Science & Technology A state-of-the-art review on facilitating sustainable agriculture through green fertilizer technology adoption : Assessing farmers behavior. Trends in Food Science & Technology, 86(February), 439–452. https://doi.org/10.1016/j.tifs.2019.02.040
Ajzen, I. (1991). Theory of Planned Behaviour. Organizational Behavior And Human Decision Processes, 33(1), 52–68. https://doi.org/10.47985/dcidj.475
Ajzen, I. (2002). Residual Effects of Past on Later Behavior: Habituation and Reasoned Action Perspectives. Personality and Social Psychology Review, 6(2), 107–122. https://doi.org/10.1207/S15327957PSPR0602
Amin, A. (2017). Analisis usahatani bawang merah (Allium ascanilicum L.) pada pemberian zeolit dan pupuk kandang sapi di desa pesantunan kecamatan Wanasari kabupaten Brebes. Jurnal Ilmiah Ultras 1(1), 28–40. Retrieved from https://jdih.brebeskab.go.id/produkhukum/viewpdf/1269
Angelica, I., Jimenez, C., Cristina, L., García, C., Violante, M. G., Vezzetti, E., & Marcolin, F. (2021). applied sciences Validation of a TAM Extension in Agriculture : Exploring the Determinants of Acceptance of an e-Learning Platform. Applied Sciences, 11, 4672. https://doi.org/10.3390/app11104672
Babcock-jackson, L., Konovalova, T., Krogman, J. P., Bird, R., & Lotti, L. (2023). Sustainable Fertilizers: Publication Landscape on Wastes as Nutrient Sources, Wastewater Treatment Processes for Nutrient Recovery, Biorefineries, and Green Ammonia Synthesis. J. Agric. Food Chem., 71, 8265−8296. https://doi.org/10.1021/acs.jafc.3c00454
Bakker, L., Sok, J., Werf, W. Van Der, & Bianchi, F. J. J. A. (2021). Kicking the Habit : What Makes and Breaks Farmers ’ Intentions to Reduce Pesticide Use ? Ecological Economics, 180(December 2019), 106868. https://doi.org/10.1016/j.ecolecon.2020.106868
Bathaei, A., & Štreimikien, D. (2023). A Systematic Review of Agricultural Sustainability Indicators. Agriculture, 13(241). https://doi.org/10.3390/agriculture13020241
Bhushan, A. N., & Reddy, M. S. K. (2020). Farm Technology Adoption in Farming : An Application of TAM Model. Palarch’s Journal Of Archaeology of Egypt/Egyptology, 17(6), 8796–8805. Retrieved from https://archives.palarch.nl/index.php/jae/article/view/2296
Bilali, H. El, & Strassner, C. (2021). Agri-Food Systems : Environment, Economy, Society, and Policy. Sustainability, 13, 1–67. https://doi.org/10.3390/su13116260
Calabi-floody, M., Medina, J., Calabi-floody, M., Medina, J., Rumpel, C., Condron, L. M., Hernandez, M., Dumont, M., De, M., & Mora, L. (2018). Smart Fertilizers as a Strategy for Sustainable Agriculture. In Advances in Agronomy (Issue 147, pp. 19–157)). https://doi.org/10.1016/bs.agron.2017.10.003
Diaz, A. C., Sasaki, N., Tsusaka, T. W., & Szabo, S. (2021). Resources , Conservation & Recycling Advances Factors affecting farmers ’ willingness to adopt a mobile app in the marketing of bamboo products. Resources, Conservation & Recycling Advances, 11, 200056. https://doi.org/10.1016/j.rcradv.2021.200056
Downey, W. D. (2014). Fertilizer Purchasing Behavior of Indiana Farmers. North Central Journal of Agricultural Economics, 5(2), 123–137. Retrieved from http://www.jstor.org/stable/1349147
FAO. (2018). Sustainable food systems - Concept and framework. Food and Agriculture Organization of the United Nations, 1–8. Retrieved from http://www.fao.org/3/ca2079en/CA2079EN.pdf
Funk, T. F. (1982). Fertilizer Buying Behavior of Ontario Farmers. Canadian Journal of Agricultural Economics, 30(11). https://doi.org/10.1111/j.1744-7976.1982.tb01988.x
Geng, L., Hui, H., & Liang, X. (2023). Factors Affecting Intention Toward ICT Adoption in Rural Entrepreneurship : Understanding the Differences Between Business Types of Organizations and Previous Experience of Entrepreneurs. SAGE Open, 35, 1–19. https://doi.org/10.1177/21582440231197112
Haidery, F. H., & Kundu, K. (2021). Agri-input Buying Behaviour of Paddy Farmers : A Study in the Context of the New Normal Due to COVID-19. SAGE Open, 1–9. https://doi.org/10.1177/09722629211056759
Hair, Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). Sage Publications Inc., Thousand Oaks, CA.
Hammad, H. M., Khaliq, A., Abbas, F., Farhad, W., Fahad, S., Aslam, M., Shah, G. M., Nasim, W., Mubeen, M., & Bakhat, H. F. (2020). Communications in Soil Science and Plant Analysis Comparative Effects of Organic and Inorganic Fertilizers on Soil Organic Carbon and Wheat Productivity under Arid Region Comparative Effects of Organic and Inorganic Fertilizers on Soil Organic Carbon and Wheat Productivity under Arid Region. Communications in Soil Science and Plant Analysis, 00(00), 1–17. https://doi.org/10.1080/00103624.2020.1763385
Hasan, F., Agribisnis, P. S., Pertanian, F., & Trunojoyo, U. (2021). Persepsi Petani Terhadap Keberlanjutan Usaha Tani Bawang Merah di Kecamatan Batumarmar Kabupaten Pamekasan. AGRISCIENCE, 2(1), 48–64. https://doi.org/10.21107/agriscience.v2i1.11249
Hasnain, M., Chen, J., Ahmed, N., Memon, S., Wang, L., Wang, Y., & Wang, P. (2020). The Effects of Fertilizer Type and Application Time on Soil Properties, Plant Traits, Yield and Quality of Tomato. Sustainability, 12, 1–14. https://doi.org/10.3390/su12219065
Hayati, D., Ranjbar, Z., & Karami, E. (2011). Measuring Agricultural Sustainability. Sustainable Agriculture Reviews, 5, 73–100. https://doi.org/10.1007/978-90-481-9513-8
Hüttel, S., Leuchten, M., & Leyer, M. (2022). The Importance of Social Norm on Adopting Sustainable Digital Fertilisation Methods. Organization & Environment, 35(I), 79–102. https://doi.org/10.1177/1086026620929074
Kabir, K. H., Hassan, F., Zannatun, M., Mukta, N., Roy, D., Darr, D., Leggette, H., & Ullah, S. M. A. (2022). Application of the technology acceptance model to assess the use and preferences of ICTs among field-level extension officers in Bangladesh. Digital Geography and Society, 3(January), 100027. https://doi.org/10.1016/j.diggeo.2022.100027
Kurniati, S. A. (2019). Keberlanjutan usahatani bawang merah Desa Sungai Geringging Kecamatan Kampar Kiri Kabupaten Kampar Provinsi Riau. Dinamika Pertanian, 3, 101–110. https://doi.org/10.25299/dp.2019.vol35(3).4570
Le, L., Nguyen, H., Khuu, D. T., Halibas, A., & Nguyen, T. Q. (2023). Factors That Influence the Intention of Smallholder Rice Farmers to Adopt Cleaner Production Practices : An Empirical Study of Precision Agriculture Adoption. Evaluation Review, 0(0), 1–44. https://doi.org/10.1177/0193841X231200775
Mohr, S., & Kühl, R. (2021). Acceptance of artificial intelligence in German agriculture : an application of the technology acceptance model and the theory of planned behavior. Precision Agriculture, 22(6), 1816–1844. https://doi.org/10.1007/s11119-021-09814-x
Nordin, S., Lohana, S., Nooriza, S., Razak, A., Kumar, V., Rashid, R. A., Redza, A., & Rizal, A. (2023). Identification of Opportunities for Espousing Green Fertilizers Technology Among Smallholder Paddy Farmers for Higher Productivity and Environmental Sustenance. SAGE Open, 1–20. https://doi.org/10.1177/21582440231218688
Perdana, T., Renaldy, E., Utami, H. N., Sadeli, A. H., H, M. A., Ginanjar, T., H, F. R., & Sanjaya, S. (2018). Farmers Behavior on Using Fertilizer in West Java. The 1st International Conference and Exhibition on Powder Technology Indonesia (ICePTi) 2, 030011. https://doi.org/10.1063/1.5021204
Petrzelka, P., Korsching, P. F., & Malia, J. E. (2010). Farmers’ Attitudes and Behavior toward Sustainable Agriculture. The Journal of Environmental Education, 28(1), 38–44. https://doi.org/10.1080/00958964.1996.9942814
Purnomo, D., Jamhari, Irham, & Darwanto, D. H. (2016). The Impact Of Benefit-Risk Factors And Source Of Information On Liquid Chemicals Fertilizers Utilization : A Case Study For Onion Farmers In Brebes, Central Java, Indonesia. IOSR Journal of Agriculture and Veterinary Science (IOSR-JAVS), 9(3), 44–50. https://doi.org/10.9790/2380-0903014450
Purnomo, M., Hadiwiyono, E., Andriatmoko, N. D., & Pariasa, I. I. (2022). Transformation Role of Forest Farmer Group’ s ( FFGs ) in Indonesia from Development Agent to Brokering Project. SAGE Open, 1–15. https://doi.org/10.1177/21582440221082144
Rocchi, L., Boggia, A., & Paolotti, L. (2020). Sustainable Agricultural Systems : A Bibliometrics Analysis of Ecological Modernization Approach. Sustainability, 12(9635). https://doi.org/10.3390/su12229635
Siebrecht, N. (2020). Sustainable Agriculture and Its Implementation Gap — Overcoming Obstacles to Implementation. Sustainability, 12(3853). https://doi.org/10.3390/su12093853
Sutherland, L., & Darnhofer, I. (2012). Of organic farmers and “ good farmers ” : Changing habitus in rural England. Journal of Rural Studies, 28(3), 232–240. https://doi.org/10.1016/j.jrurstud.2012.03.003
Thomas, R. J., Hare, G. O., & Coyle, D. (2023). Technological Forecasting & Social Change Understanding technology acceptance in smart agriculture : A systematic review of empirical research in crop production. Technological Forecasting & Social Change, 189(January), 122374. https://doi.org/10.1016/j.techfore.2023.122374
Thrall, P. H., Oakeshott, J. G., Fitt, G., Southerton, S., Burdon, J. J., Sheppard, A., Russell, R. J., Zalucki, M., Heino, M., & Denison, R. F. (2011). Evolution in agriculture : the application of evolutionary approaches to the management of biotic interactions in agro-ecosystems. Evolutionary Applications, 4, 200–215. https://doi.org/10.1111/j.1752-4571.2010.00179.x
Tian, M., Zheng, Y., Sun, X., & Zheng, H. (2022). A research on promoting chemical fertiliser reduction for sustainable agriculture purposes : Evolutionary game analyses involving “ government , farmers , and consumers .” Ecological Indicators, 144(September), 109433. https://doi.org/10.1016/j.ecolind.2022.109433
Verplanken, B. (2018). The psychology of habit: Theory, mechanisms, change, and contexts. The Psychology of Habit: Theory, Mechanisms, Change, and Contexts, 1–418. https://doi.org/10.1007/978-3-319-97529-0
Verplanken, B., & Melkevik, O. (2008). Predicting habit : The case of physical exercise. Psychology of Sport and Exercise 9, 9, 15–26. https://doi.org/10.1016/j.psychsport.2007.01.002
Wulandari, C., Syaifurrahman, M. A., Wulandani, T., & Malini, H. (2023). Upaya Penyadaran Petani dalam Meningkatkan Kualitas Lahan melalui Pemanfaatan Limbah Pertanian untuk Mencapai Sistem Pertanian Bawang Merah Berkelanjutan. Jurnal Parikesit: Jurnal Pengabdian, Riset, Kreativitas, Inovasi, Dan Teknologi Tepat Guna, 1(2), 142–150. http://doi.org/10.22146/parikesit.vlil.9533
Zhen, L. I. N. (2003). Operational Indicators for Measuring Agricultural Sustainability in Developing Countries. Environmental Management, 32(1), 34–46. https://doi.org/10.1007/s00267-003-2881-1
Zheng, S., Yin, K., & Yu, L. (2022). Factors influencing the farmer ’ s chemical fertilizer reduction behavior from the perspective of farmer differentiation. Heliyon, 8(November), e11918. https://doi.org/10.1016/j.heliyon.2022.e11918
Zhou, Y., Yang, H., Mosler, H.-J., & Abbaspour, K. C. (2010). Factors affecting farmers ’ decisions on fertilizer use : A case study for the Chaobai watershed in Northern China. Consilience: The Journal of Sustainable Development, 4(1), 80–102. Retrieved from https://www.jstor.org/stable/26167133
Author Biography
Dwi Purnomo, University (Unswagati) Cirebon City
License
Copyright (c) 2024 Dwi Purnomo
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with Jurnal Penelitian Pendidikan IPA, agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License (CC-BY License). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in Jurnal Penelitian Pendidikan IPA.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).