The Impact of Billing System Policy for Subsidized Fertilizer Redemption in Lampung Province

Main Article Content

Muhammad Ibnu

Abstract

To address the problems of the distribution of subsidized fertilizers, the Government of Lampung Province implements an innovative Billing System policy through which farmer groups redeem subsidized fertilizer online. However, the impact of the policy has not been reviewed scientifically. Therefore, this study aims to answer questions (1) what are the impacts of the Billing System Policy on the quantity use and prices of subsidized fertilizer in Lampung? and (2) what are the impacts of the Billing System Policy on rice production in Lampung? The study was conducted in June 2020 until February 2021. Total respondents were 314 rice farmers surveyed with systematic random sampling in the districts of East dan South Lampung and Metro. The impacts of Billing Systems were evaluated with the Propensity Score Matching (PSM) technique, which is a credible quantitative method for correcting selection bias and other variable biases. The results showed that, at the farmer group level, the Billing System significantly increases the average use of Urea and reduces the average prices of Urea and SP36. However, the Billing System has little impact on rice production, although the production has increased after the Billing System policy. The findings further imply that enhancing the institutional capacity of farmers is still necessary.

Article Details

How to Cite
Ibnu, M. (2021). The Impact of Billing System Policy for Subsidized Fertilizer Redemption in Lampung Province. Jurnal Sosial Ekonomi Pertanian, 17(3), 59–73. https://doi.org/10.20956/jsep.v17i3.14994
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References

Badan Pusat Statistik. (2020). Luas panen dan produksi padi di Indonesia 2019: Vol. XXIII (Issue 16). https://www.bps.go.id/pressrelease/download.html?nrbvfeve=MTc1Mg%3D%3D&sdfs=ldjfdifsdjkfahi&twoadfnoarfeauf=MjAyMC0wMi0yNSAxMzoyNjozMg%3D%3D

Blackman, A., & Rivera, J. (2011). Producer‐level benefits of sustainability certification. Conservation Biology, 25(6), 1176–1185.

Ferraro, P. J. (2009). Counterfactual thinking and impact evaluation in environmental policy. New Directions for Evaluation, 2009(122), 75–84.

Frondel, M., & Schmidt, C. M. (2005). Evaluating environmental programs: The perspective of modern evaluation research. Ecological Economics, 55(4), 515–526.

Greenstone, M., & Gayer, T. (2009). Quasi-experimental and experimental approaches to environmental economics. Journal of Environmental Economics and Management, 57(1), 21–44.

Indriasari, D. P., & Sani, A. (2019). Pengendalian Manajemen Pupuk Subsidi. Jurnal Aplikasi Manajemen & Kewirausahaan MASSARO, 1(1).

Kementerian Pertanian. (2018a). Peraturan Menteri Pertanian Republik Indonesia Nomor47/permentan/SR.310/11/2018 tentang alokasi dan haga eceran tertinggi pupuk bersubsidi sektor pertanian tahun anggaran 2019.

Kementerian Pertanian. (2018b). Statistik pertanian 2017. http://epublikasi.setjen.pertanian.go.id/epublikasi/StatistikPertanian/2017/Statistik Sarana Pertanian Tahun 2017/files/assets/basic-html/page2.html

Khandker, S., B. Koolwal, G., & Samad, H. (2009). Handbook on impact evaluation: quantitative methods and practices. The World Bank.

Komisi Pemberantasan Korupsi. (2017). Kajian kebijakan subsidi di bidang pertanian.

Lasindrang, R. Z. Y., & Fauzi DH, A. (2018). Hubungan distribusi terhadap penjualan (Studi Pada Distribusi Pupuk Npk Non Subsidi Area Pemasaran Kalimantan Di Pt. Pupuk Kalimantan Timur). Jurnal Administrasi Bisnis, 54(1), 197–206.

Legan, D., & Vandeven, M. H. (2003). Sampling techniques. In Detecting Pathogens in Food. John Wiley & Sons. https://doi.org/10.1016/B978-1-85573-670-2.50007-5

Mead, R. (2017). Statistical methods in agriculture and experimental biology. Chapman and Hall/CRC.

Peraturan Gubernur Lampung. (2016). Peraturan Gubernur Lampung Nomor 99 tahun 2016 tentang pola distribusi pupuk bersubsidi di sektor pertanian di Provinsi Lampung.

Ruben, R., & Fort, R. (2012). The impact of fair trade certification for coffee farmers in Peru. World Development, 40(3), 570–582.

Ruben, R., & Zuniga, G. (2011). How standards compete: comparative impact of coffee certification schemes in Northern Nicaragua. Supply Chain Management: An International Journal, 16(2), 98–109.

Sari, L. R., & Fahmi, A. (2018). Dampak subsidi pupuk terhadap peningkatan pendapatan dan kesejahteraan petani kecamatan megaluh jombang dalam perspektif fenomenologis. MARGIN ECO, 2(2), 86–101.

Stata Corp. (2018). Selection Model Heckoprobit. http://www.stata.com/Manuals14/Svysvyestimation.Pdf.

Sukmayanto, M., Alviana, E. D., & Muhtholib, A. (2019). Persepsi petani padi terhadap program billing sistem di kecamatan metro barat kota metro. Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis, 5(1), 114–123.

Suryana, A., Agustian, A., & Yofa, R. D. (2018). Alternatif kebijakan penyaluran subsidi pupuk bagi petani pangan. Analisis Kebijakan Pertanian, 14(1), 35–54.

Susilowati, S. H. (2018). Urgensi dan Opsi Perubahan Kebijakan Subsidi Pupuk. Analisis Kebijakan Pertanian, 14(2), 163–185.

White, H. (2006). Impact evaluation: the experience of the Independent Evaluation Group of the World Bank. Independent Evaluation Group, the World Bank.

Zakaria, W. A., Ibnu, M., Marlina, L., & Endaryanto, T. (2018). Evaluasi KinerjaKebijakan Billing Sistem Penebusan Pupuk Subsidi Dalam Rangka Mencapai Target Swasembada Pangan di Provinsi Lampung.

Zulaiha, A. R., Nurmalina, R., & Sanim, B. (2018). Kinerja Subsidi Pupuk di Indonesia. Jurnal Aplikasi Bisnis Dan Manajemen (JABM), 4(2), 271.

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