Self-capacity building of small-scale buffalo farmers in pemalang regency Indonesia
Abstract
This study aims to determine a model for improving the self-capacity of small-scale buffalo farmers in Pemalang Regency, Indonesia. Primary data was collected from buffalo farmers in Pemalang Regency through a survey. Sub-districts were randomly selected as many as 4 out of 14 sub-districts. Two villages were selected for each sub-district. Each selected village was taken as a census respondent. A total of 226 respondents were obtained. The analysis used in this research is descriptive and Structural Equational Modeling - Partial Least Square (SEM PLS) analysis. The study results show buffalo farmers in Pemalang Regency have low to moderate self-capacity so that the number of livestock owned is relatively fixed yearly to raise livestock as savings and social status. Farmers' self-capacity must be improved by training and counselling through farmer groups. Access to capital and access to information affects farmers' skills in marketing, provision of feed, and handling of livestock reproduction.
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Ab Hamid, M. R., Sami, W., & Sidek, M. H. M. (2017). Discriminant validity assessment: use of fornell & larcker criterion versus HTMT criterion. Journal of Physics: Conference Series, 890, 012163. DOI: https://doi.org/10.1088/1742-6596/890/1/012163
Ali, A., & Erenstein, O. (2017). Assessing farmer use of climate change adaptation practices and impacts on food security and poverty in Pakistan. Climate Risk Management, 16, 183-194. DOI: https://doi.org/10.1016/j.crm.2016.12.001
Al-Taiy, H. K., Al-Salhi, A. T. H., & Al-Mashadani, A. L. J. (2020). Development extension service to meet the requirements of buffalo breeders in Iraq. Iraqi Journal of Agricultural Science, 51(1), 432-442. DOI: https://doi.org/10.36103/ijas.v51i1.942
Anane, I., Zhang, Y., & Nie, F. Y. (2021). The sources of microfinance capital and its effects on farmers access to credit in Ghana. SVU-International Journal of Agricultural Sciences, 3(1), 112-128. DOI: https://doi.org/10.21608/svuijas.2021.61143.1080
Balzani, A., & Hanlon, A. (2020). Factors that influence farmers’ views on farm animal welfare: A semi-systematic review and thematic analysis. Animals, 10(9), 1524. DOI: https://doi.org/10.3390/ani10091524
Ben-Enukora, C. A., Ejem, A. A., Aremu, C. O., Adeyeye, B. K., & Oloruntoba, A. F. (2023). Access to dry season agricultural content in the broadcast media and dry season irrigation farming among smallholder farmers in Nigeria. Agriculture, 13(6), 1139. DOI: https://doi.org/10.3390/agriculture13061139
Binsawad, M. H. (2020). Corporate social responsibility in higher education: A PLS-SEM neural network approach. IEEE Access, 8, 29125-29131. DOI: https://doi.org/10.1109/ACCESS.2020.2972225
Bush, R. D., Page, B., Macdonald, T., Young, J. R., Nampanya, S., Suon, S., … Windsor, P. A. (2014). Target feeding for improved smallholder beef production in the Mekong region: lessons from Cambodia and Lao PDR. Animal Production Science, 54(9), 1219-1223. DOI: https://doi.org/10.1071/AN14133
Duguma, B., & Janssens, G. P. J. (2021). Assessment of livestock feed resources and coping strategies with dry season feed scarcity in mixed crop-livestock farming systems around the gilgel gibe catchment, Southwest Ethiopia. Sustainability, 13(19), 10713. DOI: https://doi.org/10.3390/su131910713
Fan, Q., & Garcia, V. B. S. (2018). Information access and smallholder Farmers’ market participation in Peru. Journal of Agricultural Economics, 69(2), 476-494. DOI: https://doi.org/10.1111/1477-9552.12243
Fatihudin, D., Firmansyah, M. A., Musriha, Wikanta, W., Fauzi, H., & Holisin, I. (2022). Development of the productivity model of people’s salt farmers through financial literacy for capital access and market. Tianjin Daxue Xuebao (Ziran Kexue Yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology, 55(2), 235-245. DOI: https://doi.org/10.17605/OSF.IO/KAJWF
Habibi, A., Mukminin, A., & Sofyan, S. (2023). Access to the digital technology of urban and suburban vocational schools. Education and Information Technologies, 2023, 1-26. DOI: https://doi.org/10.1007/s10639-023-12006-x
Hair Jr, J. F., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442-458. DOI: https://doi.org/10.1108/IMDS-04-2016-0130
Hair Jr, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101-110. DOI: https://doi.org/10.1016/j.jbusres.2019.11.069
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021a). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). New York, US: Sage publications.
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021b). Partial least squares structural equation modeling (PLS-SEM) using R: a workbook. Cham, SW: Springer Nature.
He, Y., & Ahmed, T. (2022). Farmers’ livelihood capital and its impact on sustainable livelihood strategies: evidence from the poverty-stricken areas of Southwest China. Sustainability, 14(9), 4955. DOI: https://doi.org/10.3390/su14094955
Jablonski, B. B. R., Hadrich, J., Bauman, A., Sullins, M., & Thilmany, D. (2022). The profitability implications of sales through local food markets for beginning farmers and ranchers. Agricultural Finance Review, 82(3), 559-576. DOI: https://doi.org/10.1108/AFR-05-2021-0056
Khanal, A. R., & Omobitan, O. (2020). Rural finance, capital constrained small farms, and financial performance: findings from a primary survey. Journal of Agricultural and Applied Economics, 52(2), 288-307. DOI: https://doi.org/10.1017/aae.2019.45
Lupoae, O. D., Radu, R. I., Isai, V. M., & Mihai, O. I. (2023). Sustainable entrepreneurship in the equestrian sector through horse manure: a PLS-SEM approach. International Journal of Entrepreneurial Behavior & Research, 29(7), 1497-1515. DOI: https://doi.org/10.1108/IJEBR-06-2022-0538
Magesa, M. M., Michael, K., & Ko, J. (2020). Access and use of agricultural market information by smallholder farmers: measuring informational capabilities. The Electronic Journal of Information Systems in Developing Countries, 86(6), e12134. DOI: https://doi.org/10.1002/isd2.12134
Matouš, P., Todo, Y., & Mojo, D. (2013). Roles of extension and ethno-religious networks in acceptance of resource-conserving agriculture among Ethiopian farmers. International Journal of Agricultural Sustainability, 11(4), 301-316. DOI: https://doi.org/10.1080/14735903.2012.751701
Muatip, K., Purwaningsih, H., Enstein, A., Djatmiko, O. E., Mastuti, S., Hidayat, N. N., … Cahyo, D. N. (2022). The correlation between farmers motivation and perception with commitment to raising buffalo in Pemalang Regency. IOP Conference Series: Earth and Environmental Science, 1114, 012104. DOI: https://doi.org/10.1088/1755-1315/1114/1/012104
Olmo, L., Young, J. R., Nampanya, S., MacPhillamy, I. B., Khounsy, S., Thomson, P. C., … Bush, R. D. (2021). An investigation of interventions associated with improved cattle and buffalo reproductive performance and farmer knowledge on smallholder farms in Lao PDR. Animal Production Science, 61(14), 1484-1496. DOI: https://doi.org/10.1071/AN19709
Opolot, H. N., Isubikalu, P., Obaa, B. B., & Ebanyat, P. (2018). Influence of university entrepreneurship training on farmers’ competences for improved productivity and market access in Uganda. Cogent Food & Agriculture, 4(1), 1469211. DOI: https://doi.org/10.1080/23311932.2018.1469211
Pebryna, P. U., Muatip, K., & Djatmiko, O. E. (2014). Hubungan tingkat adopsi inovasi dengan pendapatan dan pertambahan jumlah ternak kambing peternakan ettawa. Jurnal Ilmiah Peternakan, 2(1), 262-269.
Peng, Y., Wang, H. H., & Zhou, Y. (2022). Can cooperatives help commercial farms to access credit in China? evidence from Jiangsu province. Canadian Journal of Agricultural Economics/Revue Canadienne d’agroeconomie, 70(4), 325-349. DOI: https://doi.org/10.1111/cjag.12320
Ponnusamy, K., Sriram, N., Prabhukumar, S., Vadivel, E., Venkatachalam, R., & Mohan, B. (2016). Effectiveness of cattle and buffalo expert system in knowledge management among the farmers. Indian Journal of Animal Sciences, 86(5), 604-608. DOI: https://doi.org/10.56093/ijans.v86i5.58514
Rini, U. S., & Laksono, B. (2020). The impact of raising cows and buffaloes inside the house toward human health. Public Health Perspective Journal, 5(2), 155-161.
Rustine, M., Ratnapuri, C. I., Karim, N. A., & Alamsyah, D. P. (2022). The antecedent of relative advantage in mobile payment e-wallet. Jakarta, ID: IEEE.
Santoso, A. B., Girsang, S. S., Raharjo, B., Pustika, A. B., Hutapea, Y., Kobarsih, M., … Sudarmaji (2023). Assessing the challenges and opportunities of agricultural information systems to enhance farmers’ capacity and target rice production in Indonesia. Sustainability, 15(2), 1114. DOI: https://doi.org/10.3390/su15021114
Saputri, F. P. N., Muatip, K., & Widiyastuti, T. (2021). Hubungan lama beternak dan jumlah ternak dengan tingkat keterampilan pemberian pakan pada peternak sapi potong di daerah urut sewu kabupaten kebumen. Prosiding Seminar Nasional Teknologi Agribisnis Peternakan (STAP), 8, 662-670.
Shmueli, G., Ray, S., Estrada, J. M. V., & Chatla, S. B. (2016). The elephant in the room: Predictive performance of PLS models. Journal of Business Research, 69(10), 4552-4564. DOI: https://doi.org/10.1016/j.jbusres.2016.03.049
Shmueli, G., Sarstedt, M., Hair Jr, J. F., Cheah, J.-H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322-2347. DOI: https://doi.org/10.1108/EJM-02-2019-0189
Suyadi, S., Sumardjo, S., Uchrowi, Z., & Tjitropranoto, P. (2019). Factors affecting agroforestry farmers’ capacity surrounding national park. Indonesian Journal of Forestry Research, 6(1), 27-41. DOI: https://doi.org/10.20886/ijfr.2019.6.1.27-41
Swai, E. S., Mollel, P., & Malima, A. (2014). Some factors associated with poor reproductive performance in smallholder dairy cows: the case of Hai and Meru districts, Northern Tanzania. Livestock Research for Rural Development, 26(6).
Tadesse, G., & Bahiigwa, G. (2015). Mobile phones and farmers’ marketing decisions in Ethiopia. World Development, 68, 296-307. DOI: https://doi.org/10.1016/j.worlddev.2014.12.010
Tey, Y. S., Li, E., Bruwer, J., Abdullah, A. M., Brindal, M., Radam, A., … Darham, S. (2014). The relative importance of factors influencing the adoption of sustainable agricultural practices: a factor approach for Malaysian vegetable farmers. Sustainability Science, 9, 17-29. DOI: https://doi.org/10.1007/s11625-013-0219-3
Vroege, L., Jong, J. E. W., Videler, A. C., & Kop, W. J. (2022). Personality factors and cognitive functioning in patients with somatic symptom and related disorders. Journal of Psychosomatic Research, 163, 111067. DOI: https://doi.org/10.1016/j.jpsychores.2022.111067
Wahyono, N. D., Hasanah, N., Parmawati, R., & Wong, W.-K. (2023). Improving economic welfare through capital development: case study of smallholder dairy farmers in pujon district. Sustainability, 15(11), 8453. DOI: https://doi.org/10.3390/su15118453
Warriach, H. M., McGill, D. M., Bush, R. D., Wynn, P. C., & Chohan, K. R. (2015). A review of recent developments in buffalo reproduction - a review. Asian-Australasian Journal of Animal Sciences, 28(3), 451-455. DOI: https://doi.org/10.5713/ajas.14.0259
Werkheiser, I. (2018). Precision livestock farming and farmers’ duties to livestock. Journal of Agricultural and Environmental Ethics, 31, 181-195. DOI: https://doi.org/10.1007/s10806-018-9720-0
Yu, L., Nilsson, J., Zhan, F., & Cheng, S. (2023). Social capital in cooperative memberships and farmers’ access to bank credit-evidence from Fujian, China. Agriculture, 13(2), 418. DOI: https://doi.org/10.3390/agriculture13020418
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