Big Data Review of the Influence of Agricultural Sector Development on Economic Resilience
Abstract
The agricultural sector in the East Java's GDP structure has been stable at around 11% over the past 5 years, despite disruptions caused by the Covid pandemic. The stable development of the agricultural sector has contributed to the region's increased resilience. This study aims to identify the relationship between factors influencing agricultural development and resilience in East Java and to formulate related development strategies. The method used in this study is Correlation and Regression. Regional resilience is viewed as the output of changes in the rate of GDP growth. Factors in agricultural development are viewed from Agricultural Production, Land Factors using Big data, including LST, NDVI, and NDWI, Internet User Farmers and Farmer Populations. The results of the study indicate that significant influential factors in agricultural development are found in NDVI, NDWI, and Farmer Population. The study shows that for East Java, development strategies through digital farming have not yet been able to increase regional resilience, and conventional agricultural development methods still dominate.
References
Adeniran, I. A., Zhu, R., Yang, J., & Zhu, X. (2022). Cross-Comparison between Sun-Synchronized and Geostationary Satellite-Derived Land Surface Temperature : A Case Study in Hong Kong. Multidisciplinary Digital Publishing Institute Journal, 14(18), 444.
Adger, W. N. (2006). Vulnerability. Global Environmental Change, 16(3). https://doi.org/https://doi.org/10.1016/j.gloenvcha.2006.02.006.
Afrianto, F. (2022). EAST JAVA PROVINCE GRDP PROJECTION MODEL USING NIGHT-. East Java Economic Journal, 6(2), 208–223. https://doi.org/10.53572/ejavec.v6i1.83
Anggito, A., & Setiawan, J. (2018). Metodologi Penelitian Kualitatif. CV. Jejak.
Anwarudin, O., Sumardjo, Satria, A., & Fatchiya, A. (2020). Process and Approach to Farmer Regeneration Through Multi-strategy in Indonesia. Jurnal Penelitain Dan Pengembangan Pertanian, 39(2), 73–85.
Badan Pusat Statistik. (2021). Ekonomi Jawa Timur Tahun 2020 Terkontraksi 2,39 Persen. Badan Pusat Statistik. https://jatim.bps.go.id/pressrelease/2021/02/05/1225/ekonomi-jawa-timur-tahun-2020-terkontraksi-2-39-persen.html
Badan Pusat Statistik. (2022). Provinsi Jawa Timur dalam Angka 2022.
Berry, R., Vigani, M., & Urquhart, J. (2022). Economic resilience of agriculture in England and Wales: a spatial analysis. Journal of Maps, 18(1), 70–78. https://doi.org/10.1080/17445647.2022.2072242
Christopherson, S., Michie, J., & Tyler, P. (2010). Regional resilience: Theoretical and empirical perspectives. In Cambridge Journal of Regions, Economy and Society (Vol. 3, Issue 1, pp. 3–10). https://doi.org/10.1093/cjres/rsq004
De Mauro, A., Greco, M., & Grimaldi, M. (2014). What is Big Data? A Consensual Definition and a Review of Key Research Topics. International Conference on Integrated Information. https://doi.org/10.13140/2.1.2341.5048
Deng, Y., Jiang, W., & Wang, Z. (2023). Economic resilience assessment and policy interaction of coal resource oriented cities for the low carbon economy based on AI. Resources Policy, 82. https://doi.org/10.1016/j.resourpol.2023.103522
Dormady, N., Roa-Henriquez, A., & Rose, A. (2019). Economic resilience of the firm: A production theory approach. International Journal of Production Economics, 208, 446–460. https://doi.org/10.1016/j.ijpe.2018.07.017
Greenham, T., Cox, E., & Ryan-collins, J. (2013). Mapping Economic Resilience. Friends Provident Foundation.
Hasyim, A. W., & Hernawan, F. P. (2017). Distribution of Green Open Space in Malang City Based on Multispectral Data. IOP Conference Series Earth and Environmental Science, 012001.
Hu, X., Li, L., & Dong, K. (2022). What matters for regional economic resilience amid COVID-19? Evidence from cities in Northeast China. Cities, 120. https://doi.org/10.1016/j.cities.2021.103440
Jayne, T. S., Fox, L., Fuglie, K., & Adelaja, A. (2021). Agricultural Productivity Growth, Resilience, and Economic Transformation in Sub-Saharan Africa. https://creativecommons.org/licenses/by/4.0.Thefullreportcanbeaccessedelectronicallyat:https://www.usaid.gov/bifad/
Linkov, I. (2017). The Risk of Not Being Resilient. ERDC.
Martini, B. (2020). Resilience and economic structure. Are they related? Structural Change and Economic Dynamics, 54, 62–91. https://doi.org/10.1016/j.strueco.2020.03.006
Mcfeeters, S. K. (2007). The use of the Normalized Difference Water Index ( NDWI ) in the delineation of open water features. 1161. https://doi.org/10.1080/01431169608948714
Pratiwi, Y. R. (2022). Pemulihan Perekonomian Indonesia Setelah Kontraksi Akibat Pandemi Covid-19. Kementrian Keuangan Republik Indonesia.
Purnamawati, I. G. A., Yuniarta, G. A., & Herliyani, E. (2021). Local Agricultural Products Strategy to Improve Resilience in a New Adaptation Era. 9(1), 18–26.
Quendler, E., & Morkūnas, M. (2020). The Economic Resilience of the Austrian Agriculture since the EU Accession. Journal of Risk and Financial Management, 13(10). https://doi.org/10.3390/jrfm13100236
Shang, L., Heckelei, T., Gerullis, M. K., Jan, B., & Rasch, S. (2021). Adoption and Diffusion of Digital Farming Technologies - Integrating Farm-Level Evidence and System Interaction. Agricultural System, 190. https://doi.org/10.1016/j.agsy.2021.103074
Siburian, T. (2022). Diversitas dan Resiliensi Ekonomi Daerah di Masa Covid-19: Studi di Wilayah Aglomerasi Pulau Jawa. Universitas Atma Jaya.
Silva, J. F. da, Silva, F. F., Leal, A. M. M., & Oliveira, H. C. de. (2021). Regional economic resilience and mining in the State of Minas Gerais/Brazil: The barriers of productive specialisation to formal employment and tax management. Resources Policy, 70. https://doi.org/10.1016/j.resourpol.2020.101937
Suryana, A., Rusastra, I. W., Sudaryanto, T., & Pasaribu, S. M. (2020). Dampak Pandemi Covid-19 (Prespektif Adaptasi dan Resiliensi Sosial Ekonomi Pertanian). IAARD Press.
Tao, Z., Zheng, X., Wang, X., Han, L., Huang, Y., Li, J., & Tao, Z. (2022). Economic resilience in California against two earthquakes. International Journal of Disaster Risk Reduction, 76. https://doi.org/10.1016/j.ijdrr.2022.102993
USAID. (2022). 2022 Resilience Policy Revision.
Verdouw, C., Tekinerdogan, B., Beulens, A., & Wolfert, S. (2021). Digital twins in smart farming. Agricultural Systems, 189(December 2020), 103046. https://doi.org/10.1016/j.agsy.2020.103046
Vigani, M., & Berry, R. (2018). Farm economic resilience, land diversity and environmental uncertainty. 30th International Conference of Agricultural Economists. https://www.researchgate.net/publication/327574343
Yang, Q., Zhang, P., Ma, Z., Liu, D., & Guo, Y. (2022). Agricultural Economic Resilience in the Context of International Food Price Fluctuation—An Empirical Analysis on the Main Grain–Producing Areas in Northeast China. Sustainability, 14(21), 14102. https://doi.org/10.3390/su142114102
Yohannes, A., Varis, O., Sun, P., Yang, Y., Tafa, B., & Zhao, L. (2021). Mapping socio-ecological resilience along the seven economic corridors of the Belt and Road Initiative. Journal of Cleaner Production, 309(May), 127341. https://doi.org/10.1016/j.jclepro.2021.127341
Zulkarnain, R., & Ramadani, K. D. (2022). Pandemic Vulnerability Mapping in East Java and Its Connection to Local Economic Resistance. East Java Economic Journal, 6(2), 131–159. https://doi.org/10.53572/ejavec.v6i2.85
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