Article Sidebar

Submitted
January 21, 2025
Published
May 31, 2025
Download
PDF
Statistic
Read Counter : 12 Download : 6

Main Article Content

Abstract

Value chain development models in livestock downstreaming are crucial for enhancing the competitiveness of the national livestock sector. This article aims to analyze various value chain development models that support the downstreaming of livestock in Indonesia. The methodology employed is a comprehensive literature review of current research on value chains and livestock downstreaming. The findings indicate that the success of value chain development relies on the integration of business actors, the adoption of technology and innovation, the development of supporting infrastructure, and the harmonization of policies. Implementing downstreaming through the establishment of processing industries has positively impacted the added value of livestock products. The proposed value chain development model emphasizes the need for triple helix collaboration among the government, the private sector, and academia. Additionally, it must be tailored to the specific characteristics and potential of each region. In conclusion, this study highlights the significance of an integrated approach to developing livestock value chains to create a sustainable and competitive ecosystem in the livestock sector.

Article Details

License

Copyright (c) 2025 Arif Rahman Azis, Muhammad Subhan Hamka, Woki Bilyaro, Muhammad Dani, Kade Wahyu Saputri

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Authors submitting manuscripts should understand and agree that copyright of manuscripts of the article shall be assigned/transferred to Buletin Peternakan Tropis (Bulletin of Animal Tropical Science). This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA) where Authors and Readers can copy and redistribute the material in any medium or format, as well as remix, transform, and build upon the material for any purpose, but they must give appropriate credit (cite to the article or content), provide a link to the license, and indicate if changes were made. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

References

  1. Aliaga, R., I. De-Los-Ríos-Carmenado, A. Cristóbal, H. Balbín,and A. Heros. 2023. Competencies and capabilities for the management of sustainable rural development projects in the value chain: Perception from small and medium-sized business agents in Jauja, Peru. Sustainability. https://doi.org/10.20944/preprints202310.0461.v1.
  2. Ambrozie, A., I. Pirju, S. Sorcaru. 2023. Digital transformations in modern supply chains: An integrated analysis. Communications of International Proceedings. https://doi.org/10.5171/2023.4229023.
  3. Baeta, A., K. Liboreiro, M. Diniz, V. Padrão, and C. Teixeira. 2022. Professional master’s program in biotechnology and innovation management: The triple helix in movement and knowledge generation. Industry and Higher Education, 36: 429 - 441.
  4. Baker, D., E. Jackson, and S. Cook. 2022. Perspectives of digital agriculture in diverse types of livestock supply chain systems. Making sense of uses and benefits. Frontiers in Veterinary Science, 9. https://doi.org/10.3389/fvets.2022.992882.
  5. Cao, S., W. Powell, M. Foth, V. Natanelov, T. Miller, and U. Dulleck. 2021. Strengthening consumer trust in beef supply chain traceability with a blockchain-based human-machine reconcile mechanism. Comput. Electron. Agric., 180, 105886. https://doi.org/10.1016/j.compag.2020.105886.
  6. Carillo, F., and F. Abeni. 2020. An Estimate of the effects from precision livestock farming on a productivity index at farm level. Some evidences from a dairy farms’ sample of Lombardy. Animals : an Open Access Journal from MDPI, 10. https://doi.org/10.3390/ani10101781.
  7. Gwaka, L. 2022. Computer supported livestock systems: The potential of digital platforms to revitalize a livestock system in Rural Zimbabwe. Proceedings of the ACM on Human-Computer Interaction, 6, 1 - 28. https://doi.org/10.1145/3555085.
  8. Jackson, E., and S. Cook. 2022. The complex adoption pathways of digital technology in Australian livestock supply chains systems. Crop and Pasture Science, 74: 538 - 554.
  9. Novita, I., and N. Rochman. 2019. Supply chain partnership institutional analysis on broiler production. Jurnal Pertanian: https://doi.org/10.30997/JP.V10I1.1621.
  10. Papazoglou, M., P. Ribbers, and A. Tsalgatidou. 2000. Integrated value chains and their implications from a business and technology standpoint. Decis. Support Syst., 29: 323-342. https://doi.org/10.1016/S0167-9236(00)00081-6.
  11. Popko, O., V. Yatchuk, V. Filatov, O. Slipetskyi, and Y. Tvardovskyi. 2023. Ecological and economic expediency of introducing modern membrane technologies of deep processing of milk whey. IOP Conference Series: Earth and Environmental Science, 1269. https://doi.org/10.1088/1755-1315/1269/1/012012.
  12. Rathobei, K., H. Ranängen, and A. Lindman. 2024. Stakeholder integration in sustainable business models to enhance value delivery for a broader range of stakeholders. Business Strategy and the Environment. https://doi.org/10.1002/bse.3651.
  13. Redi, A., and J. Jonny. 2023. Indonesian government's role in increasing domestic product consumption: An analysis of act number 3 of 2014 on industry. Proceedings of the 3rd Multidisciplinary International Conference, MIC 2023, 28 October 2023, Jakarta, Indonesia. https://doi.org/10.4108/eai.28-10-2023.2341816.
  14. Ridwan, M., and K. Kasim. 2020. Cooperation-based partnership model with the partnership of authorities solution for improving broiler agribusiness partnership systems in increasing partner income. IOP Conference Series: Earth and Environmental Science, 492. https://doi.org/10.1088/1755-1315/492/1/012143.
  15. Sarpong, D., A. Abdrazak, E. Alexander, and D. Meissner. 2017. Organizing practices of university, industry and government that facilitate (or impede) the transition to a hybrid triple helix model of innovation. Technological Forecasting and Social Change, 123: 142-152.
  16. Setiyowati, L. 2020. Rantai pasok dan nilai tambah susu sapi perah. Efficient: Indonesian Journal of Development Economics, 3(2): 780-798.
  17. Soedjana, T., and A. Priyanti. (2017). Competitiveness of Indonesian livestock production among Asean Countries. Wartazoa, 27: 1-14.
  18. Wang, Y., J. Wang, X. Wang, Q. Li. 2021. Does policy cognition affect livestock farmers' investment in manure recycling facilities? Evidence from China.. The Science of the total environment, 795, 148836 . https://doi.org/10.1016/j.scitotenv.2021.148836.
  19. Zhou, K., J. Wu, H. Li, Z. Zhang, H. Wu, J. Li. 2024. Analysis of the coupling coordination of livestock production, residential consumption, and resource and environmental carrying capacity in China. Frontiers in Sustainable Food Systems. https://doi.org/10.3389/fsufs.2024.1365076