Perilaku Petani Milenial Provinsi Jawa Barat dalam Penerapan Climate-Smart Agriculture (CSA) pada Tanaman Hortikultura

Authors

  • Triya Ayu Retnaningtyas
    Sebelas Maret University
  • Dwiningtyas Padmaningrum
    Sebelas Maret University
  • Sapja Anantanyu
    Sebelas Maret University

Keywords:

behaviour, climate change, climate-smart agriculture (CSA), millennial farmer

Abstract

Millennial farmers become superior and competitive human resources as determinants of the progress of agricultural development. Millennial farmers must be adaptive to digitalization technology and innovation and environmentally friendly cultivation techniques to face agricultural development, including climate change challenges. Climate-smart agriculture (CSA) behavior is the strategic effort of millennial farmers as an approach to dealing with the impacts of climate change on the agricultural sector, as well as efforts by the agricultural industry to reduce its impact on climate change through efficient management of crops, land and soil, and water. The management is based on three pillars of CSA: 1) Increasing agricultural productivity and income, 2) Improving adaptation and resilience to climate change, and 3) Reducing greenhouse gas emissions. This study aims to analyze CSA implementation behavior based on the Theory of Planned Behavior (TPB) by examining the direct and indirect effects of attitude variables, subjective norms, perceived behavioral control, and intentions. These variables are measured by integrating TPB with the CSA context. The research sample was 198 respondents of Millennial Farmer Ambassadors and Andalan Farmer Ambassadors in West Java Province, conducted in 2023. This research uses a quantitative approach with the Structural Equation Model-Partial Least Square (SEM-PLS) method to analyze complex models with many variables—data collection techniques using questionnaire instruments that have been valid and reliable. The results showed that attitude, perceived behavioral control, and intention significantly influence behavior both directly and indirectly through intention (p-value < α 0.05). Meanwhile, subjective norms do not substantially affect behavior directly or indirectly through intention (p-value > α 0.05). So, it is necessary to develop interventions that strengthen the formation of positive intentions and the need for practical support for subjective norms related to CSA implementation behavior in millennial farmers.

Downloads

Download data is not yet available.

References

Abrahamse, W. (2019). Understanding the Drivers of Human Behaviour (Encouraging).

Antwi-Agyei, P., Abalo, E. M., Dougil, A. J., & F., B.-A. (2022). Motivations, Enablers and Barriers to Adopting Climate-Smart Agricultural Practices by Smallholder Farmers: Evidence from the Transitional and Savannah Agroecological Zones of Ghana. Regional Sustainability, 2(2021), 375–386. https://doi.org/10.1016/j.regsus.2022.01.005

Atta-Aidoo, J., Antwi-Agyei, P., Dougill, A. J., Ogbanje, C. E., Akoto-Danso, E. K., & Eze, S. (2022). Adoption of Climate-Smart Agricultural Practices by Smallholder Farmers in Rural Ghana: An Application of the Theory of Planned Behavior. PLOS Clim, 1(10), e0000082. https://doi.org/https://doi.org/10.1371/journal.pclm.0000082

Bilal, M., Tayyab, M., Hamza, A., Shahzadi, K., & Rubab, F. (2023). The Internet of Things for Smart Farming: Measuring Productivity and Effectiveness. Eng. Proc. International Electronic Conference on Sensors and Applications (ECSA-10), 58(1), 106. https://doi.org/https://doi.org/10.3390/ecsa-10-16012

Cao, J., Qiu, H., & Morrison, A. M. (2023). Self-Identity Matters: An Extended Theory of Planned Behavior to Decode Tourists’ Waste Sorting Intentions. Int. J. Environ. Res. Public Health: Environmental Sustainability: Knowledge, Attitudes and Behavior, 20(6), 5099. https://doi.org/10.3390/ijerph20065099

Cherlinka, V. (2023). Climate Smart Agriculture: Practices And Their Adoption. EOS Data Analytics. https://eos.com/blog/climate-smart-agriculture/

Djido, A., Segnon, A. C., Botchway, V. A., Karbo, N., Sam, K. O., & Essegbey, G. O. (2021). Implementation, Usage, and Effectiveness of Ghana Climate Change Policies: An Assessment of the National CSA Action Plan and CSA Investment Framework. Info Note Climate Change, Agriculture, and Food Security.

Effendy, L., Nasruddin, W., & Pratama, A. (2022). Pemberdayaan Petani Milenial melalui Penerapan Pekarangan Pangan Lestari pada Era Pandemi Covid-19. Jurnal Triton, 13(2), 179–196. https://doi.org/10.47687/jt.v13i2.232

Farid, Romadi, U., Sawitri, B., & Wandansari, N. R. (2016). Evaluasi Penyuluhan Pertanian. Sekolah Tinggi Penyuluhan Pertanian Malang.

Food and Agriculture Organization (FAO). (2019). Climate Smart Agriculture Training Manual. A reference manual for Agricultural Extension Agents.

Hair, J. J., Hult, G. T., Ringle, C., Sarstedt, M. (2010). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) - In Sage.

Intergovernmental Panel on Climate Change (IPCC). (2021). Emissions in the Agriculture Sector. https://ccafs.cgiar.org/sites/default/ files/assets/docs/ au_policybrief_opportunitieschallenges.pdf

Jones, P. J., Sok, J., Tranter, R. B., Blanco-Penedo, I., Fall, N., Fourichon, C., Hogeveen, H., Krieger, M. C., & Sundrum, A. (2016). Assessing and Understanding European Organic Dairy Farmers’ Intentions to Improve Herd Health. Prev Vet Med, 133, 84–96. https://doi.org/10.1016/j.prevetmed.2016.08.005

Kementerian Perencanaan Pembangunan Nasional RI. (2021). Pertanian. https://lcdi-indonesia.id/grk-pertanian/

Keputusan Menteri Pertanian Republik Indonesia. (2021). Nomor 434/KPTS/SM.020/M/2021 tentang Duta Petani Milenial dan Duta Petani Andalan Pembangunan Pertanian.

Laksono, P., Irham, Mulyo, J. H., & Suryantini, A. (2022). Farmers’ Willingness to Adopt Geographical Indication Practice in Indonesia: A Psycho Behavioral Analysis. Heliyon, 8(8), e10178. https://doi.org/10.1016/j.heliyon.2022.e10178

Martey, E., Etwire, P. M., & Kuwornu, J. K. M. (2020). Economic Impacts of Smallholder Farmers’ Adoption of Drought-Tolerant Maize Varieties. Land Use Policy, 94(104524). https://doi.org/10.1016/j.landusepol.2020.104524

Peraturan Presiden Nomor 98 Tahun 2021. (n.d.). Penyelenggaraan Nilai Ekonomi Karbon untuk Pencapaian Target Kontribusi yang Ditetapkan Secara Nasional dan Pengendalian Emisi Gas Rumah Kaca dalam Pembangunan Nasional. https://peraturan.bpk.go.id/Details/187122/perpres-no-98-tahun-2021

Rachmawati, R. R., & Gunawan, E. (2020). Peranan Petani Milenial Mendukung Ekspor Hasil Pertanian di Indonesia. Forum Penelitian Agro Ekonomi, 38(1), 67–87. DOI: 10.21082/fae.v38n1.2020.67-87

Rouw, A. (2018). Pendekatan Climate Smart Agriculture (CSA) dalam Membangun Model Pertanian Adaptif Perubahan Iklim dan Pola Sinergi Peneliti-Penyuluh dalam Diseminasi Inovasi Teknologi. Buletin Agro-Infotek, 4(1), 13–21.

Senger, I., Borges, J. A. R., & Machado, J. A. D. (2017). Using the Theory of Planned Behavior to Understand the Intention of Small Farmers in Diversifying their Agricultural Production. Journal of Rural Studies, 49(January), 32–40. https://doi.org/10.1016/j.jrurstud.2016.10.006

Septeri, D. I. (2023). Lahirnya Petani Milenial dan Peranannya dalam Pengembangan Agrowisata di Kabupaten Gunungkidul. Jurnal Ilmu Sosial Dan Humaniora, 12(1), 29–39. https://doi.org/10.23887/jish.v12i1.50608

Squalli, J., & Adamkiewicz, G. (2018). Organic Farming and Greenhouse Gas Emissions: A Longitudinal U.S. State-Level Study. Journal of Cleaner Production, 192(10 August), 30–42. https://doi.org/10.1016/j.jclepro.2018.04.160

Wakweya, R. B. 2023. Challenges and Prospects of Adopting Climate-SMart Agriculture Practices and Technologies: Implications for Food Security. Journal of Agriculture and Food Research, 14 (2023) 100698. https://doi.org/10.1016/j.jafr.2023.100698

Widagda, I. G. N. J. A., Yasa, N. N. K., Rahmayanti, P. L. D., Tirtayani, I. G. A., & Dharmanegara, I. B. A. (2022). Development of Theory of Planned Behavior (TPB) with Self-Efficacy to Explain the Intention to be a Farmer in the Zinenial Generation. Jurnal Manajemen & Agribisnis, 19(3), 428–436. https://doi.org/10.17358/jma.19.3.428

World Bank. (2021). Climate Smart Agriculture. https://www.worldbank.org/en/topic/climate-smart-agriculture.

Yanakittkul, P., & Aungvaravong, C. (2020). A Model of Farmers Intentions Towards Organic Farming: A Case Study on Rice Farming in Thailand. Heliyon, 6, e03039. https://doi.org/10.1016/j.heliyon.2019.e03039

Published

2024-03-04

How to Cite

Retnaningtyas, T. A., Padmaningrum, D., & Anantanyu, S. (2024). Perilaku Petani Milenial Provinsi Jawa Barat dalam Penerapan Climate-Smart Agriculture (CSA) pada Tanaman Hortikultura. Jurnal Ilmiah Membangun Desa Dan Pertanian, 9(2), 160–171. https://doi.org/10.37149/jimdp.v9i2.1105

Issue

Section

Articles