Is Rice Supply Affected by Climate Change in East Java?
DOI:
https://doi.org/10.32662/golder.v8i1.3986Keywords:
Rice Production, Climate Change, Rain fallAbstract
East Java Province is one of the provinces with a significant contribution to rice production in Indonesia. However, rice production in East Java experienced significant fluctuations from 2007 to 2020, with a noticeable decline from 2020 to 2021. This study aims to analyze the influence of climatic and non-climatic factors on rice production in East Java, using Time Series data from 1992 to 2023. The variables analyzed include rice harvest area, maximum annual temperature, minimum annual temperature, average temperature, and annual rainfall. The method used in this study is ARDL (Autoregressive Distributed Lag), which allows estimation of long-run and short-run cointegration relationships among the variables analyzed. The results show that the variable of harvest area has a positive influence on rice production in East Java, both in the short and long term. In addition, the variables of minimum temperature, maximum temperature, average temperature, and rainfall show a positive influence, but only in the long run. These findings indicate that both climatic and non-climatic factors play an important role in determining rice production in East Java. Therefore, managing the roles of the government and the community could be the key to increasing rice production in the future, while facing the challenges of increasingly dynamic climate change.
References
a. Buku :
Basalamah, M. T. (2024). Analisis Pengaruh Variabel Makro Ekonomi terhadap Jakarta Islamic Index (JII).
Tamba, A. (2023). Pola dan Pendapatan Usahatani Padi Sawah dan Usahatani Agroforestri Serta Kontribusinya Terhadap Pendapatan Usahatani.
b. Jurnal :
Amelia, T., Eliza, E., & Edwina, S. (2021). Analysis of Income Organik Rice Farmers in Nagari Kamang Mudiak Village Kamang Magek Sub-District Agam Regency West Sumatera. Journal of Agribusiness and Community Empowerment (JACE), 4(2), 89–98. https://doi.org/10.32530/jace.v4i2.296
Aprizkiyandari, S., & Palupi, T. (2023). Rice production forecasting model in West Kalimantan with factors are rainfall and harvest area. IOP Conference Series: Earth and Environmental Science, 1177(1). https://doi.org/10.1088/1755-1315/1177/1/012015
Breausch T. S, & Pagan A.R. (1979). A Simple Test for Heteroscedasticity and Random Coeficient Variation. Econometrica, Vol. 47, 1287–1294. https://doi.org/http://www.jstor.org/stable/1911963?origin=JSTOR-pdf
Dickey, D. A., & Fuller, W. A. (1979). Distribution of the Estimators for Autoregressive Time Series With a Unit Root. Journal of the American Statistical Association, 74(366), 427–431. https://doi.org/10.1080/01621459.1979.10482531
Fathanah, U., Syamsuddin, Y., Darwanis, Suparno, Apriliaz, S., Mulyati, S., Lubis, M. R., & Amin, A. (2024). Sosialisasi Pembuatan Pestisida Organik dari Sekam Padi dengan Proses Pirolisis di Aceh Besar. Jurnal Vokasi, Vol. 8 No 2, 325.
Garcia, M. A. (2024). Pengaruh Investasi dan Tenaga Kerja Terhadap Pertumbuhan Ekonomi di Surabaya Tahun 2010-2020. Jurnal Soetomo Management Review, Volume 2, Nomor 6, 696–712.
Granger, C. W. J. (1988). SOME RECENT DEVELOPMENTS IN A CONCEPT OF CAUSALITY. In Journal of Econometrics (Vol. 39).
Hidayatullah, Z. A., & Saitama, A. (2023). Analisa Perubahan Iklim dan Pengaruhnya pada Produktivitas Tanaman Padi di Kabupaten Malang Analysis of Climate Change and Its E. Agricultural Science, Vol. 8 No 2, 173–180.
Ismail, R., Revida, E., Lubis, S., Kardhinata, E. H., Sutatminingsih, R., Manurung, R., Hafi, B., Harahap, R. H., & Sihotang, D. (2024). Climate Change Adaptation Knowledge among Rice Farmers in Lake Toba Highlands. https://doi.org/10.20944/preprints202412.2483.v1
Johamen, S., & Jtiselius, K. (1990). MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION-WITH APPUCATIONS TO THE DEMAND FOR MONEY. In BUtXETlN OF ECONOMICS AND STATISTICS (Vol. 52).
Kurniadi, F. I., Satyananda, D., Santika, E., & Larasati, P. D. (2022). Multi-Output Regression untuk Melakukan Prediksi Luas Wilayah, Kualitas Padi dan Produksi Padi pada Pulau Jawa. Jurnal Sistem Komputer Dan Kecerdasan Buatan, Volume 5 Nomor 2, 18–23.
Pertiwi, E. H. (2023). Efisiensi Alokatif Penggunaan Faktor-Faktor Produksi dan Pendapatan Usahatani Padi (Studi Kasus di Desa Margodadi Kecamatan Tumijajar, Kabupaten Tulang Bawang Barat). https://scholar.googleusercontent.com/scholar?q=cache:tpXi5UoA7acJ:scholar.google.com/+Semakin+luas+lahan+yang+tersedia+dan+dikelola
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. https://doi.org/10.1002/jae.616
Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. In Biometrika (Vol. 75, Issue 2). https://academic.oup.com/biomet/article-abstract/75/2/335/292919
Priyanto, W. Moh. (2021). PENGARUH PERUBAHAN IKLIM TERHADAP PRODUK DOMESTIK REGIONAL BRUTO SEKTOR PERTANIAN Moh. Wahyudi Priyanto Magister Ekonomi Pertani. Agritech, Vol. 23 No 2, 91–100.
Quirinno, R. , S., Murtiana, S., & Asmoro, N. (2024). Peran Sektor Pertanian Dalam Meningkatkan Ketahanan Pangan dan Ekonomi Nasioanl. Jurnal Ilmu Pengetahuan Sosial, Vol 11 No 7, 2811--2822. https://doi.org/10.31604/jips.v11i7.2024
Ramsey, J. B. (1969). Tests for Specification Errors in Classical Linear Least-Squares Regression Analysis. Journal of the Royal Statistical Society Series B: Statistical Methodology, 31(2), 350–371. https://doi.org/10.1111/j.2517-6161.1969.tb00796.x
Restu, M. C., Malino, R., Arsyad, M., & Palloan, P. (2021). ANALISIS PARAMETER CURAH HUJAN DAN SUHU UDARA DI KOTA MAKASSAR TERKAIT FENOMENA PERUBAHAN IKLIM. Jurnal Sains Dan Pendidikan Fisika (JSPF) Jilid, 17, 2548–6373.
Rusmayadi, G., Silamat, E., Abidin, Z., Anripa, N., Rubijantoro, S., & Sitopu, J. W. (2024). Analisis Dampak Perubahan Iklim terhadap Produktivitas Tanaman Pangan. Jurnal Review Pendidikan Dan Pengajaran, Volume 7 Nomor 3, 9488.
Santoso, A. B. (2016). The Impact of Climate Change on Food Crops Production in the Province of Maluku. https://www.researchgate.net/publication/304124218
Sari, C. P. M., & Trisniarti, N. (2023). Analisis Fixes Effect Model Luas Panesn dan Produksi Padi Terhadap PDRB Pada 5 Provinsi di Indonesia. Jurnal Ekonomi Pertanian Unimal, 6(1), 1. https://doi.org/10.29103/jepu.v6i1.12294
Sasmita, Ali, M. S. S., & Amrullah, A. (2024). Modernitas Petani: Tingkat Modernitas Serta Hambatan Struktural Dan Budaya dalam Agribisnis Padi. JURNAL SOSIAL EKONOMI PERTANIAN, Volume 20, No. 1, 51–64.
Setiawan, R. F., & Fitriana, N. H. I. (2022). ANALISIS SUBSTITUSI IMPOR BERAS DI JAWA TIMUR. Prosiding Seminar Nasional Magister Agribisnis, Vol. 3 No 1, 92–99.
Sukmayanto, M., Listiana, I., & Hasanuddin, T. (2022). Analisis Produksi dan Pendapatan Usahatani Padi di Kabupaten Lampung Tengah. Jurnal Ekonomi Pertanian Dan Agribisnis, 6(2), 625. https://doi.org/10.21776/ub.jepa.2022.006.02.26
Sulaminingsih, Silamat, E., Ruruh, A., Syaiful, M., Ninasari, A., & AR, M. (2024). Dampak Perubahan Iklim terhadap Peningkatan dan Penurunan Produktivitas Tanaman Pangan. Jurnal Review Pendidikan Dan Pengajaran, 7 Nomor 3, 10189.
Suryanto, A. (2024). Analisis Produksi dan Pendapatan Usaha Tani Padi Di Kabupaten Gowa Sulawesi Selatan. https://scholar.googleusercontent.com/scholar?q=cache:vD0Hjq6eAQgJ:scholar.google.com/+Semakin+luas+lahan+yang+tersedia+dan+dikelol
Wirakusuma, G. (2020). APA YANG MENDORONG DIVERSIFIKASI PENDAPATAN PETANI?: TINJAUAN EMPIRIS RUMAH TANGGA TANI PADI PROVINSI JAWA TIMUR. Sosial Ekonomi Pertanian, Vol. 2 No 1, 135–136.
Yuniasih, B., Harahap, W. N., & Wardana, D. A. S. (2023). Anomali Iklim El Nino dan La Nina di Indonesia pada 2013-2022. AGROISTA?: Jurnal Agroteknologi, 6(2), 136–143. https://doi.org/10.55180/agi.v6i2.332
c. Rujukan dan Sumber Website :
BMKG. (2023). Data BMKG Pusat Database. https://dataonline.bmkg.go.id/data_iklim
Defriyanti, W. T. (2019). THE EFFECT OF RICE FIELD AREA AND PLANTING AREA ON RICE PRODUCTION IN SOUTH SUMATRA THROUGH REGRESSION ANALYSIS. PUBLIKASI PENELITIAN TERAPAN DAN KEBIJAKAN , 122–125.
Lysti, A. N. (2022). PERANCANGAN SISTEM PENCATATAN DAN TRACEABILITY PADA RANTAI PASOKAN BERAS DI JAWA BARAT BERBASIS TEKNOLOGI BLOCKCHAIN DENGAN PEMANFAATAN SMART CONTRACT.
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