The Factor Affecting Farmer Perceptions of the Implementation of Corporate Farming (Case Study at Tani Maju Sejahtera Cooperative, Malang District, East Java Province)
DOI:
https://doi.org/10.52218/ijbtob.v1i3.85Keywords:
Farmer, Perception, Corporate Farming, Binary LogisticAbstract
This research analyzes the factors that influence farmers' perceptions of the implementation of agricultural corporations in advanced prosperous farmer cooperatives of the Malang district. This study uses binary logistic analysis. The determination of the location is done intentionally considering that the progressive, successful farmer cooperative is a cooperative formed by the government, which has become an experimental agricultural corporation in Purworejo Village, Ngantang District, Malang Regency. A simple random sampling technique selected Ninety-two farmers as respondents in this study. The factors analyzed in this study include the farmer's age, education, number of family dependents, land area, land status, and length of farming. The results showed that the education factor had no significant effect on the implementation of Corporate Farming. In contrast, the characteristics of age, number of family dependents, land area, land status, and length of farming had a significant effect on the opportunities for farmers to join Corporate Farming.
Keywords: Farmers, Perceptions, Corporate Farming, Binary Logistic
Downloads
References
ABARE. (2008). ABARE commodities outlook (Vol. 08, p. 2) Canberra: ABARE.
ABARE. (2010). Australian grains: Financial performance of grains producing farms (Vol. 10, p. 1). 2007–08 to 2009–10. Canberra: ABARE Research Report.
Keating, B. A., & Carberry, P. S. (2010). Emerging opportunities and challenges for Australian broadacre agriculture. Crop & Pasture Science, 61(4), 269–278
Ayuda Werti. 2019. Perbandingan Tingkat Produksi Dan Pendapatan Usahatani Padi Dengan Menggunakan Teknologi Dan Corporate Farming Pada Gapoktan Tani Mandiri Di Desa Dalangan, Kecamatan Tawangsari, Kabupaten Sukoharjo Jawa Tengah. Tesis. Universitas Brawijaya.
Intan, A., 2013, Regresi Logistik Multinomial dalam Menentukan Model Tingkat Keparahan Korban Kecelakaan Lalu Lintas di Kota Palu, Tesis, Universitas Tadulako.
Kingwell, R. (2011). Managing complexity in modern farming. Australian Journal of Agricultural and Resource Economics, 55(1), 12–34.
Kurniati, E. dan Hawa. L. C. 2003. Studi Kesiapan Petani Untuk Melaksanakan Pengelolaan Usaha Tani Melalui Pendekatan Ekonomi Sebagai Perusahaan Pertanian. Jurnal Ilmu-Ilmu Sosial. 15(1):1-12
Marit E. Kragt, Brendan Lynch, Rick S. Llewellyn, and Wendy J. Umberger. (2019). What farmer types are most likely to adopt joint venture farm business structures. Australian Journal of Agricultural and Resource Economics, 59, pp. 1–16
Nossal, K., & Lim, K. (2011). Innovation and productivity in the Australian grains industry. ABARES Research Report, 11, 06.
Nisma Aprini, Sriati, Najib Asmani, Maryadi. (2017). Pengembangan Kelembagaan Petani Usahatani Padi Ekosistem Pasang Surut Dengan Sistem Corporate Farming Di Kabupaten Ogan Komering Ilir Provinsi Sumatera Selatan. Jurnal AGRIPITA Vol. 1, No.1 Mei 2017, Hlm. 71-77
P. S. Carberry, S. E. Bruce2., J. J. Walcott2 And B. A. Keat Ing. (2010). Innovation and productivity in dryland agriculture: a return-risk analysis for Australia. Journal of Agricultural Science, Page 1 of 13. © Cambridge University Press 2010 doi:10.1017/S0021859610000973
Sheng, Y. and Chancellor, W. (2018). Exploring the relationship between farm size and productivity: evidence from the Australian grains industry. Food Policy 84, 196–204.
Sheng, Y., Zhao, S., Nossal, K. and Zhang, D. (2014). Australian agriculture's productivity and farm size: reinvestigating the returns to scale, Australian Journal of Agricultural and Resource Economics 59, 16–38.
