skip to main content

EXAMINING THE SOYBEAN COMPETITIVENESS IN CENTRAL JAVA: A POLICY ANALYSIS MATRIX APPROACH

*Avi Budi Setiawan scopus  -  Universitas Negeri Semarang, Semarang, Central Java, Indonesia, Indonesia
Ernoiz Antriyandarti  -  Universitas Sebelas Maret, Surakarta, Central Java, Indonesia, Indonesia
Mochammad Yusuf  -  Universitas Negeri Semarang, Semarang, Central Java, Indonesia, Indonesia
Prasetyo Ari Bowo  -  Universitas Negeri Semarang, Semarang, Central Java, Indonesia, Indonesia
Dian Tri Wiyanti  -  Taipei Medical University, Taipei, Taiwan, Taiwan
Open Access Copyright 2024 Agrisocionomics: Jurnal Sosial Ekonomi Pertanian under http://creativecommons.org/licenses/by-sa/4.0.

Citation Format:
Abstract

Soybean is one of the leading food crops in Indonesia, but its dependence on imports is very high. The productivity of soybean yields in Indonesia is also far below that of other soybean-producing countries. This study aims to analyze the competitiveness of soybean farming in Central Java Province. Policy Analysis Matrix (PAM) is used to analyze the soybean competitiveness. The results showed that the from PAM model shows that the PCR value is 0.37, which means that soybean farming is competitive in the current market. Furthermore, the DRC value is 0.30, indicating that soybean commodities have a comparative advantage or are competitive in the market if they are perfectly competitive and there are no distortions. Soybeans have an NPCO value of 0.960, farmers are paid 96% of what they should be paid. It appears that soybean farmers are relatively disadvantaged based on the NPCO value. Furthermore, the NPCI value is 0.98. The research results indicate that the NPCI has a value less than one. This implies the existence of consumer input protection policies in the form of subsidies. Thus, to meet domestic demand for soybeans, producing for domestic is better than importing from other countries. The and competitiveness analysis results show that soybean farming is profitable and competitive. The existence of competitive and comparative advantages indicates that soybean farming is still feasible to be cultivated domestically, so efforts are needed to increase efficiency to reduce dependence on imports.

Fulltext View|Download
Keywords: competitiveness, policy analysis matrix, soybean

Article Metrics:

  1. Ainsworth, E. A., Yendrek, C. R., Skoneczka, J. A., & Long, S. P. 2012. Accelerating yield potential in soybean: Potential targets for biotechnological improvement. Plant, Cell and Environment, 35(1), 38–52. https://doi.org/10.1111/j.1365-3040.2011.02378.x
  2. Arisudi, M. A., & Gapor, S. A. 2008. the Competitiveness of Soybean Production in Blitar-East Java, Indonesia. Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi Dan Pembangunan, 9(2), 228. https://doi.org/10.23917/jep.v9i2.1027
  3. Balanay, R., & Laureta, R. 2021. Towards Boosting the Supply Chain of Soybeans for Food Security and Import Substitution in Caraga Region, Philippines. Journal of Ecosystem Sciences and Eco-Governance, 3(1), 1–14
  4. BPS Jawa Tengah. 2020. Jawa Tengah Dalam Angka
  5. BPS Kabupaten Grobogan. 2020. Grobogan Dalam Angka
  6. Chakuri, D., Asem, F. E., & Ebo Onumah, E. 2022. Bayesian Technical Efficiency Analysis of Groundnut Production In Ghana. Cogent Economics and Finance, 10(1). https://doi.org/10.1080/23322039.2022.2074627
  7. Chanifah; Triastono, Joko; Sahara, D. 2020. Daya Saing dan Proteksi Kebijakan Pemerintah terhadap Kedelai Domestik di Kabupaten Grobogan, Jawa Tengah. Jurnal Pangan, 29 (3), 211–220
  8. Cheng, F., & Beghin, J. C. 1999. Food self-sufficiency, comparative advantage, and agricultural trade: a policy analysis matrix for Chinese agriculture. In CARD Working Paper (Vol. 2000, Issue October)
  9. Chiang, F. S., Sun, C. H., & Yu, J. M. 2004. Technical efficiency analysis of milkfish (Chanos chanos) production in Taiwan - An application of the stochastic frontier production function. Aquaculture, 230(1), 99–116. https://doi.org/10.1016/j.aquaculture.2003.09.038
  10. Edison. 2019. Determinants Of Technical Efficiency In Smallholder Corn Crop Farming: Application Of Stochastic Frontier Production Function. International Journal Of Science, Technology & Management, 2(5), 1900–1906. https://doi.org/10.46729/ijstm.v2i5.335
  11. Finkelshtain, I., Kachel, Y., & Rubin, O. 2011. Policy, Competitiveness and Agricultural Trade: An Application of the Policy Analysis Matrix (PAM) to Israeli Agriculture
  12. Haryanto, T. 2020. Impact of Government Policies on the Competitiveness of Soybean Farming System in Indonesia: Study in Bangsalsari District, East Java Province. Journal of Developing Economies, 4(1), 52. https://doi.org/10.20473/jde.v4i1.11909
  13. Hayat, A., & Islam, S. 2010. Protection and comparative advantage of rice production in Bangladesh: A policy analysis matrix *. Himalayan Research Papers, 5(10)
  14. Kadakoğlu, B., & Karlı, B. 2022. Technical Efficiency of Potato Production In Turkey By Stochastic Frontier Analysis. Custos e Agronegocio, 18(2), 163–178
  15. Kariyasa, K., & Dewi, Y. A. 2011. Profitability and Competitiveness of Rice Farming in Malaysia: A Policy Analysis Matrix. Journal of Gender, Agriculture and Food Security, 1(3), 1–22
  16. Kementerian Pertanian. 2020. Outlook Komoditas Pertanian Tanaman Pangan Kedelai
  17. Mardiyati, S., & Natsir, M. 2019. Daya Saing dan Kebijakan Usahatani Kedelai di Kabupaten Jeneponto Competitiveness and Policy of Soybean Farming in Jeneponto Regency, 23(2), 234–244
  18. Meliany, B. S., Novianti, T., & Tuga, G. W. 2023. Development of The Indonesian Soybean Industry: A Comparison of Self-Sufficiency and Import Policies. Habitat, 34, 267–276. https://doi.org/10.21776/ub.habitat.2023.034.3.24
  19. Monke, E. A., & Pearson, S. R. 1989. Review: The policy analysis matrix for agricultural development. Agriculture Outreach, 7(1), 133–140. https://doi.org/10.1080/03768359008439507
  20. Ndlovu, P. V., Mazvimavi, K., An, H., & Murendo, C. 2014. Productivity and efficiency analysis of maize under conservation agriculture in Zimbabwe. Agricultural Systems, 124, 21–31. https://doi.org/10.1016/j.agsy.2013.10.004
  21. Novianti, T. 2013. Analisis Dampak Kebijakan Pemerintah Terhadap Daya Saing Komoditas Unggulan Sayuran. Tesis. Institut Pertanian Bogor
  22. Nugraha, I., Sutopo, W., Hisjam, M., & Oktyajati, N. 2020. The Dynamic Simulation Model of Local Soybean Competitiveness Policy to Support the Soybean Price Stabilization. IOP Conference Series: Materials Science and Engineering, 943(1). https://doi.org/10.1088/1757-899X/943/1/012046
  23. Nuraini, R., Noor, T. I., & Isyanto, A. Y. 2020. Analisis Efisiensi Teknis Usahatani Kedelai di Desa Margalayu Kecamatan Pancatengah Kabupaten Tasikmalaya. Jurnal Ilmiah Mahasiswa Agroinfo Galuh, 7(3), 652–659
  24. Orewa, S. I., & Izekor, O. B. 2012. Technical efficiency analysis of yam production in Edo state: A stochastic frontier approach. International Journal of Development and Sustainability, 1(2), 516–526. http://isdsnet.com/ijds-v1n2-35.pdf
  25. Oumer, A. M., Mugera, A., Burton, M., & Hailu, A. 2022. Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder soybean farms in Indonesia. Journal of Productivity Analysis, 57(2), 213–241. https://doi.org/10.1007/s11123-022-00627-2
  26. Prabowo, A., & Pudjianto, M. 2023. Logistic Costs of Rice and Soybean: Issues, Challenges, and the Impact of Regulation. Center for Indonesian Policy Studies, 58. https://books.google.com/books?hl=en&lr=&id=OFvTEAAAQBAJ&oi=fnd&pg=PA123&dq=custom+declaration+indonesia&ots=Vu6Mggf-tq&sig=4glnxSYvKMyA41aKCN0pZB_DHAM
  27. Salimova, T. A., Gouskova, N. D., Fedoskina, L., & Gorin, I. A. 2017. Competitiveness, sustainable development and import substitution problems in the Russian Federation. Journal of Applied Economic Sciences, 12(4), 1148–1161
  28. Setiawan, A. B., & Bowo, P. A. 2015. Technical, Allocative, and Economic Efficiencies of Rice cultivation. Journal of Economic and Policy, 8(2), 149–159
  29. Setiawan, A. B., & Bowo, P. A. 2017. Technical Efficiency of Soybeans Commodity. Kinerja, 21(1), 1–16. https://doi.org/10.24002/kinerja.v21i1.1031
  30. Setiawan, A. B., & Fafurida. 2019. Strategi Pengembangan Usahatani Kedelai di Kabupaten Grobogan dengan Pendekatan Analysis Hierarchy Process. Jurnal Agro Ekonomi, 1(2)
  31. Setiawan, A. B., Ngatindriatun, & Karsinah. 2019. Technical Efficiency of Yam Commodity in Semarang Regency. Technical Efficiency of Yam Commodity in Semarang Regency, 3(2), 79–92
  32. Tarigan, N. A., Sofyan, & Rahmaddiansyah. 2020. Analisis Faktor-Faktor Yang Mempengaruhi Daya Saing Kedelai Indonesia. Jurnal Ilmiah Mahasiswa Pertanian, 5(2), 130–142
  33. Tossou, B. W., Kpenavoun Chogou, S., & Sossou, C. H. 2023. Analysis of the competitiveness of soybean production in Benin. Scientific African, 19. https://doi.org/10.1016/j.sciaf.2022.e01491
  34. Wang, Y., & Shi, X. 2020. Analysis on efficiency and influencing factors of new soybean producing farms. Agronomy, 10(4). https://doi.org/10.3390/agronomy10040568
  35. Yao, S. 1999. Efficiency impacts of Government policy on agricultural production in the presence of externalities. Journal of Environmental Management, 55(1), 57–67. https://doi.org/10.1006/jema.1998.0251
  36. Zabihi, H., Ahmad, A., Vogeler, I., Said, M. N., Golmohammadi, M., Golein, B., & Nilashi, M. 2015. Land suitability procedure for sustainable citrus planning using the application of the analytical network process approach and GIS. Computers and Electronics in Agriculture, 117, 114–126. https://doi.org/10.1016/j.compag.2015.07.014
  37. Zainuri, A., Wardhono, A., Sutomo, & Ridjal, J. A. 2015. Competitiveness improvement strategy of soybean commodity: Study of food security in East Java - Indonesia. Agris On-Line Papers in Economics and Informatics, 7(3), 99–106. https://doi.org/10.7160/aol.2015.070310

Last update:

No citation recorded.

Last update:

No citation recorded.