The Spatial Effect of Agricultural Sector Growth in West Java: A Spatial Approach to Panel Data
Abstract
The agricultural sector is strategic and the third-largest contributor to the GRDP of West Java Province, but its growth has slowed during the 2016–2019 period. The slow growth rate can be caused by the determinants of the growth of the agricultural sector itself and is very likely to be affected by the spatial interaction between regions in the province. Therefore, this study aims to analyze the spatial effect between regions on the growth of the agricultural sector in West Java and identify the factors that influence the growth of the agricultural sector within the province by using spatial analysis of panel data. The results reveal that the appropriate model is a fixed effect spatial error model, which shows an effect of spatial interaction between regions on the growth of the agricultural sector in West Java Province. The factors that affect the growth of the agricultural sector are agricultural credit, agricultural road infrastructure, and diversification of economic activities.
Keywords: agricultural sector growth, spatial autoregressive, spatial error model, spatial panel data
Downloads
References
Anselin L. 1988. Spatial Econometrics: Methods and Models. Dordrecht: Academic Publishers. https:// doi.org/10.1007/978-94-015-7799-1
Ashari. 2009. Optimalisasi kebijakan kredit program sektor pertanian di Indonesia. Jurnal Analisis Kebijakan Pertanian. 7 (1): 21–42.
Azis A, Wicaksono E. 2016. Analisis skema alternatif kredit program untuk usaha mikro, kecil, dan menengah. Jurnal Ekonomi dan Kebijakan Publik. 7(2): 143–157. https://doi.org/10.22212/jekp. v7i2.420
[BIG] Badan Informasi Geospasial. 2021. Peta Rupa Bumi Indonesia Tahun 2019. Bogor: BIG.
[BPS Provinsi Jawa Barat] Badan Pusat Statistik Provinsi Jawa Barat. 2021. Produk Domestik Regional Bruto Atas Dasar Harga Berlaku (ADHB) dan Atas Dasar Harga Konstan (ADHK) Tahun 2008–2020. Bandung: BPS Provinsi Jawa Barat.
[BPS] Badan Pusat Statistik. 2021. Tabel Inter Regional Input-Output Indonesia Transaksi Domestik Atas Dasar Harga Produsen Menurut 34 Provinsi dan 52 Industri Tahun 2016. Jakarta: BPS.
Baltagi BH. 2008. Econometric Analysis of Panel Data. Third Edition. John Wiley & Sons, Ltd.
[BI] Bank Indonesia. 2020. Laporan Perekonomian Provinsi Jawa Barat Mei 2020. Bandung: BI.
[BI] Bank Indonesia. 2021. Posisi Pinjaman yang Diberikan Rupiah dan Valuta Asing Bank Umum dan BPR Per Dati II Menurut Sektor Ekonomi Berdasarkan Lokasi Proyek di Propinsi Jawa Barat. Jakarta: BI.
Basu K. 2000. Analytical Development Economics: The Less Developed Economy Revisited. Massachusetts: The MIT Press.
Belaid H. 2003. Telecommunication Infrastructure and Economic Development, Simultaneous Approach: Case of Developing Countries. Paper The 5th IRSA International Conference, 18–19 Juli 2003, Bandung.
Diputra TF, Sadik K, Anggraini Y. 2012. Pemodelan data panel spasial dengan dimensi ruang dan waktu. Indonesia Journal of Statistics. 17(1): 6–14.
Djuraidah A, Wigena AH. 2012. Regresi spasial untuk menentukan faktor-faktor kemiskinan di Provinsi Jawa Timur. Media Statistika. 12 (1): 1–8.
Edeme RK, Nkalu NC, Idenyi JC, Arazu WO. 2020. Infrastructural Development, Sustainable Agricultural Output and Employment in ECOWAS Countries. Sustainable Futures. 2 (2020) 100010. https://doi.org/10.1016/j.sftr.2020.100010
Effendi PML, Asmara A. 2014. Dampak pembangunan infrastruktur jalan dan variabel ekonomi lain terhadap luas lahan sawah di koridor Jawa. Jurnal Agribisnis Indonesia. 2(1): 21–32. https:// doi.org/10.29244/jai.2014.2.1.21-32
Elhorst JP. 2010. Spatial Panel Data Models. Fischer MM, Getis A, editor, Handbook of Applied Spatial Analysis. New York: Springer. https://doi.org/ 10.1007/978-3-642-03647-7_19
Florence N, Nathan S. 2020. The effect of commercial banks’ agricultural credit on agricultural growth in Uganda. African Journal of Economic Review. 8(1): 162–175.
Herliana S, Sutardi A, Aina Q, Aliya QH, Lawiyah N. 2018. The constraints of agricultural credit and government policy strategy. MATEC Web of Conferences 215, 02008. https://doi.org/ 10.1051/matecconf/201821502008
Hung FS, Cothren R. 2002. Credit market development and economic growth. Journal of Economics and Business. 54: 219–237. https://doi.org/10.1016/ S0148-6195(01)00063-7
Kusumaastuti AC, Kolopaking LM, Barus B. 2018. Faktor yang mempengaruhi alih fungsi lahan pertanian pangan di Kabupaten Pandeglang. Jurnal Sosialogi Pedesaan. 6(2): 131–136.
Lu B, Charlton M, Harris P, Fotheringham S. 2014. Geographically weighted regression with a non-Euclidean distance metric: a case study using hedonic house price data. International Journal of Geographical Information Science. 28 (4): 660–681. https://doi.org/10.1080/13658816.2013.865739
Mankiw NG. 2000. Macroeconomics. New York (US): Worth Publisher.
Miller RE, Blair PD. 2009. Input-Output Analysis: Foundations and Extensions. Second Edition. Cambridge University Press. https://doi.org/ 10.1017/CBO9780511626982
Nugrahadi EW, Tambunan M, Siregar H, Daryanto A. 2010. Analisis pola perubahan struktural dan sumber-sumber pertumbuhan dalam ekonomi Jawa Barat. Forum Pascasarjana IPB. 33 (2): 79–90.
Panekenan D, Rumagit GAJ, Pangemanan PA. 2017. Peran kredit perbankan pada sektor pertanian di Provinsi Sulawesi Utara. Jurnal Agri-Sosio Ekonomi Unsrat. 13(1): 183–194. https://doi.org/10.35791/ agrsosek.13.1A.2017.15623
Shamdasani Y. 2021. Rural road infrastructure and agricultural production: evidence from India. Journal of Development Economics 152(2021): 102686. https://doi.org/10.1016/j.jdeveco.2021.102686
Sial MH, Awan MS, Waqas M. 2011. Role of institutional credit on agricultural production: a time series analysis of Pakistan. International Journal of Economics and Finance. 3(2): 126–132. https:// doi.org/10.5539/ijef.v3n2p126
Sulistyowati L, Novitasari R, Trimo L. 2021. Structural Transformation of the West Java Economy and Its Agriculture. IOP Conference Series: Earth and Environmental Science. 466(2020) 012005. https:// doi.org/10.1088/1755-1315/466/1/012005
Susilowati, SH. 2017. Dinamika Diversifikasi sumber pendapatan rumahtangga perdesaan di berbagai agroekosistem. Jurnal Agroekonomi. 35(2): 105‒126. https://doi.org/10.21082/jae.v35n2.2017. 105-126
Tobler WR. 1970. A computer movie simulating urban growth in the Detroit region. Journal Economic Geography. 46: 234–240. https://doi.org/ 10.2307/143141
[UN ESCAP] Economic and Social Commision for Asia and the Pacific. 2014. Economic Diversification in Asian Landlocked Developing Countries: Prospects and Challenges. Bangkok (TH): United Nation.
Widianingsih W, Suryantini A, Irham. 2015. Kontribusi sektor pertanian pada pertumbuhan ekonomi di Provinsi Jawa Barat. Jurnal Agro Ekonomi. 20(2): 2006–2018. https://doi.org/10.22146/ agroekonomi.17272
Winoto J, Siregar H. 2008. Agricultural development in Indonesia: current problems, issues, and policies. Jurnal Analisis Kebijakan Pertanian. 6(1): 11–36.
This journal is published under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License. Authors who publish with this journal agree to the following terms: Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. NonCommercial — You may not use the material for commercial purposes.