Development of Paddy Yield Gap Between Java and Outside Java: Does It Have a Contribution to Paddy Yield Improvement from 2018 to 2021?

Kadir, Kadir and Prasetyo, Octavia Rizky (2023): Development of Paddy Yield Gap Between Java and Outside Java: Does It Have a Contribution to Paddy Yield Improvement from 2018 to 2021? Published in: Proceeding of International Conference on Data Science and Official Statistics , Vol. 2023, No. 1 (29 December 2023): pp. 746-755.

Abstract

Increasing the paddy yield is crucial for Indonesia to maintain its national rice sufficiency amid the consistent depletion of wetland paddy areas. In this regard, the yield disparities between regions are challenging, particularly between Java and outside Java. Our study aims to examine the development of the paddy yield gap between the two regions from 2018 to 2021 and its contribution to paddy yield improvement during the period. Using the results of the National Crop-cutting Survey, we found that while the paddy yield in Java outperformed the paddy yield outside Java, the yield difference between the two regions narrowed from around 26 per cent in 2018 to 22 per cent in 2021 due to the increase of the yield outside Java. The results of the Blinder-Oaxaca decomposition suggested that the narrowing gap has a significant contribution to the national paddy yield increase from 2018 to 2021. Our finding confirms that narrowing the yield gap between the two regions by increasing the yield outside Java is crucial to improving paddy yield in Indonesia. Our study also pointed out that improvement in irrigation systems, fertilizer use, and fertilizer assistance are important factors in maintaining the paddy yield and narrowing the gap.

• Item Type: MPRA Paper
• Language: English
• Keywords: yield, gap, paddy, Blinder-Oaxaca, decomposition
• Subjects: Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture > Q10 - General; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture > Q12 - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture > Q18 - Agricultural Policy ; Food Policy

References

[1] BPS 2019 Luas Panen dan Produksi Padi di Indonesia 2019 (Jakarta: BadanPusat Statistik). [2] Purbiyanti E, Yazid M, & Januarti I 2017 Konversi Lahan Sawah di Indonesia dan Pengaruhnya Terhadap Kebijakan Harga Pembelian Pemerintah (HPP) Gabah/Beras. Jurnal Managemen & Agribisnis. 14 3 p 209-217 [3] Ngoune Liliane T & Shelton Charles M 2020 Factors Affecting Yield of Crops. IntechOpen. doi: 10.5772/intechopen.90672 [4] Nkurunziza L, Watson CA, Öborn I et al. 2020 Socio-ecological factors determine crop performance in agricultural systems. Sci Rep. 10 4232.https://doi.org/10.1038/s41598-020-60927-1 [5] Sukarman & Dariah A 2014 Tanah Andosol di Indonesia: Karakteristik, Potensi, Kendala, dan Pengelolaannya untuk Pertanian. Balai Besar Penelitian dan Pengembangan Sumberdaya Lahan Pertanian, Kementan [6] Wahyunto & Widiastuti F 2014 Lahan Sawah Sebagai Pendukung Ketahanan Pangan serta Strategi Pencapaian Kemandirian Pangan. Jurnal Sumberdaya Lahan Edisi Khusus. 17-30 [7] Amalia RR, Prasetyo OR, & Kadir 2019 Analisis Kesenjangan Produktivitas Padi di Jawa dan Luar Jawa. Proceeding Seminar Nasional Official Statistics 2019. 1 1 161-170 [8] BPS. (2023). Proyeksi Penduduk Indonesia 2020-2050 (Badan Pusat Statistik) [9] Blinder A 1973 Wage Discrimination: Reduced Form and Structural Estimates. Journal of Human Resources. 8 436-455 [10] Oaxaca R 1973 Male-Female Wage Differentials in Urban Labor Markets. International Economic Review. 14 693-709 [11] Rahimi E & Hashemi Nazari SS 2021 A detailed explanation and graphical representation of the Blinder-Oaxaca decomposition method with its application in health inequalities. Emerg Themes Epidemiol. 18 12. https://doi.org/10.1186/s12982-021-00100-9 [12] Cotton J 1988 On the Decomposition of Wage Differentials. The Review of Economics and Statistics. 70 2 236-243 [13] Oaxaca RL and Ransom MR 1994 On discrimination and the decomposition of wage differentials. Journal of Econometrics. 61 5–21 [14] Neumark D 1988 Employers’ Discriminatory Behavior and the Estimation of Wage Discrimination. Journal of Human Resources. 23 3 279-295 [15] Koenker R & Bassett G 1978 Regression quantiles. Econometrics. 46 33-50 [16] Wooldridge J M 2003 Introductory Econometrics: A Modern Approach (2nd ed. New York: Thomson Learning) [17] Machado JAF, Parente PMDC, and Santos Silva JMC 2013 qreg2: Stata module to perform quantile regression with robust and clustered standard errors. Statistical Software Components S457369 (Boston College Department of Economics) [18] BPS 2018 Hasil Survei Pertanian Antar Sensus (SUTAS) 2018 (Jakarta, BPS). [19] FAO 2021 Climate-smart agriculture 2021 (Food and Agriculture Organization). [20] Prasetyo OR & Kadir 2023 Assessing the Impact of Jajar Legowo Planting System on Wetland Paddy Productivity and Income of Farmers in Indonesia (pre-print) [21] Prasetyo OR & Kadir 2023 Climate Change Impact on Paddy Yield in Indonesia: Farmers' Experience based on the 2021 Crop-Cutting Survey's Results (pre-print)