Climate impact on blue economy index: Bayesian spatio-temporal regression with statistical downscaling in Sumatera
DOI:
https://doi.org/10.58524/jgsa.v1i1.9Keywords:
Bayesian inference, Blue Economy Index, INLA, Spatio-temporal regression, Statistical DownscalingAbstract
Climate change studies inherently involve spatial, temporal, and regional dimensions, while the blue economy’s sustainability is significantly influenced by global climate factors. Sumatera, a key conservation region in Indonesia, faces challenges in managing its marine resources. Limited quantitative research at regency/city level led to the development of Blue Economy Index (BEI) as a measurement tool. This study constructs a BEI from 38 environmental, economic, and social indicators also identifies global climate variables affecting BEI significantly among five analyzed using best spatio-temporal statistical downscaling model with INLA approach. From 2019 to 2022, Medan City consistently achieved the highest BEI scores, while Subulussalam City recorded the lowest. The optimal model through WAIC, a nonparametric model with unstructured space-time interaction, revealed that skin temperature, sea level pressure, and precipitation significantly affect BEI. Unstructured spatial variation mainly influences BEI, while temporal trends show a decline in 2021 due to Covid-19, with dynamic spatial-temporal effects.
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References
Akbar, I. (2022). Literature Review Pemanfaatan Sumber Daya Kelautan untuk Sustainable Development Goals (SDGs). Jurnal Sains Edukatika Indonesia (JSEI), 4(1), 17–22.
Al Shehhi, M. R., & Abdul Samad, Y. (2021). Effects of the Covid-19 pandemic on the oceans. Remote Sensing Letters, 12(4), 325–334. https://doi.org/10.1080/2150704X.2021.1880658
Bâki Iz, H. (2018). The effect of regional sea level atmospheric pressure on sea level variations at globally distributed tide gauge stations with long records. Journal of Geodetic Science, 8(1), 55–71. https://doi.org/10.1515/jogs-2018-0007
Blangiardo, M., & Cameletti, M. (2015). Spatial and Spatio-temporal Bayesian Models with R - INLA. In Spatial and Spatio-temporal Bayesian Models with R - INLA. https://doi.org/10.1002/9781118950203
Bonaraja Purba, Vivi Safira, Mentari Rezeki Ramadhani, Meutia Fahrani, & Zulfa ’Afifah. (2024). Optimalisasi Sumber Daya Alam untuk Meningkatkan Ekonomi Kota Medan. Economic Reviews Journal, 3(3), 2076–2082. https://doi.org/10.56709/mrj.v3i3.310
Dasic, B., Devic, Z., Denic, N., Zlatkovic, D., Ilic, I. D., Cao, Y., Jermsittiparsert, K., & Le, H. Van. (2020). Human development index in a context of human development: Review on the western Balkans countries. Brain and Behavior, 10(9), 1–12. https://doi.org/10.1002/brb3.1755
Dian, R., Purba, B. M., Y Rumapea, N. H., & Eresina Pinem, D. (2024). Strategi Pengembangan Ekowisata Mangrove Berkelanjutan Di Belawan Sicanang Kecamatan Medan Belawan Kota Medan. Jurnal Darma Agung, 32(3), 246–258. https://dx.doi.org.10.46930/ojsuda.v32i3.4437
Diego-Feliu, M., Rodellas, V., Alorda-Kleinglass, A., Saaltink, M., Folch, A., & Garcia-Orellana, J. (2022). Extreme precipitation events induce high fluxes of groundwater and associated nutrients to coastal ocean. Hydrology and Earth System Sciences, 26(18), 4619–4635. https://doi.org/10.5194/hess-26-4619-2022
Djuraidah, A., Rachmawati, R. N., Wigena, A. H., & Mangku, I. W. (2021). Extreme data analysis using spatio-temporal bayes regression with INLA in statistical downscaling model. International Journal of Innovative Computing, Information and Control, 17(1), 259–273. https://doi.org/10.24507/ijicic.17.01.259
Eugui, D. V., Barrowclough, D., & Contreras, C. (2023). The Ocean Economy: trends, impacts and opportunities for a post COVID-19 Blue Recovery in developing countries. SSRN Electronic Journal, 137, 1–31. https://doi.org/10.2139/ssrn.4083021
Freitas, C., Villegas-Ríos, D., Moland, E., & Olsen, E. M. (2021). Sea temperature effects on depth use and habitat selection in a marine fish community. Journal of Animal Ecology, 90(7), 1787–1800. https://doi.org/10.1111/1365-2656.13497
Han, M. H., Cho, Y. K., Kang, H. W., Nam, S. H., Byun, D. S., Jeong, K. Y., & Lee, E. (2020). Impacts of atmospheric pressure on the annual maximum of monthly sea-levels in the Northeast Asian Marginal seas. Journal of Marine Science and Engineering, 8(6), 1–15. https://doi.org/10.3390/JMSE8060425
Harya, G. I. (2020). Penyusunan Indeks Pembangunan Manusia Kecamatan dan Kabupaten Bojonegoro. Jurnal Ilmiah Sosio Agribis, 20(2), 48–66. https://doi.org/10.30742/jisa20220201223
Hasan, B. M. S., & Abdulazeez, A. M. (2021). A Review of Principal Component Analysis Algorithm for Dimensionality Reduction. Journal of Soft Computing and Data Mining, 2(1), 20–30. https://doi.org/10.30880/jscdm.2021.02.01.003
Hasibuan, A. T. A., Syahriza, R., & Syahbudi, M. (2024). Implementasi Konsep Blue Economy Dalam Meningkatkan Pendapatan Nelayan Di Kota Medan Perspektif Ekonomi Syariah (Studi Kasus:Kecamatan Medan Labuhan). Jurnal Ekonomi Dan Bisnis Digital, 1(3), 585–588. https://jurnal.ittc.web.id/index.php/jebd/article/view/809
Hediyati, D., & Suartana, I. M. (2021). Penerapan Principal Component Analysis (PCA) Untuk Reduksi Dimensi Pada Proses Clustering Data Produksi Pertanian Di Kabupaten Bojonegoro. Journal of Information Engineering and Educational Technology, 5(2), 49–54. https://doi.org/10.26740/jieet.v5n2.p49-54
Ihsan, Y. N., Purba, N. P., Faizal, I., Anya, A., Mulyani, P. G., & Anwar, S. K. (2022). Impact of the Pandemic Covid-19 to the Indonesia Seas. Geojournal of Tourism and Geosites, 40(1), 30–36. https://doi.org/10.30892/gtg.40103-799
Ilma, A., & Supriadi, D. (2022). Blue Economy: Solusi Membangun Kembali Perekonomian Blue Recovery Pasca Pandemi Covid-19 untuk Sustainable Welfare. Lingka Ekonomika, 1(1), 87–96. https://doi.org/10.32424/jle.v1i1.6516
Indah, & Jubaidah. (2021). Perilaku Masyarakat Membuang Sampah di Aliran Sungai Gelombang, Kota Subulussalam, Aceh. Prosiding Seminar Nasional Peningkatan Mutu Pendidikan, 2(1), 36–40.
Islek, F., & Yuksel, Y. (2023). Spatio-temporal long-term evaluations of the mean sea level pressure, sea level change, and sea surface temperature over two enclosed seas. Regional Studies in Marine Science, 66, 103130. https://doi.org/10.1016/j.rsma.2023.103130
Kementerian PPN, B. (2023). Indonesia Blue Economy Roadmap.
Kundzewicz, Z. W., Krysanova, V., Benestad, R. E., Hov, Piniewski, M., & Otto, I. M. (2018). Uncertainty in climate change impacts on water resources. Environmental Science and Policy, 79, 1–8. https://doi.org/10.1016/j.envsci.2017.10.008
Liu, F., Toumi, R., Zhang, H., & Chen, D. (2024). Impact of Precipitation on Ocean Responses during a Tropical Cyclone. Journal of Physical Oceanography, 54(3), 895–909. https://doi.org/10.1175/JPO-D-23-0138.1
Maeyangsari, D. (2023). Blue Economy as a Sustainable Development Effort and Fulfillment of Human Rights. Perspektif Hukum, 23(1), 106–126.
Maulina, R. F., Djuraidah, A., & Kurnia, A. (2019). Pemodelan Kemiskinan di Jawa Menggunakan Bayesian Spasial Probit Pendekatan Integrated Nested Laplace Approximation (INLA). Media Statistika, 12(2), 140–151. https://doi.org/10.14710/medstat.12.2.140-151
Morales-Otero, M., Gómez-Rubio, V., & Núñez-Antón, V. (2022). Fitting double hierarchical models with the integrated nested Laplace approximation. Statistics and Computing, 32(4), 1–16. https://doi.org/10.1007/s11222-022-10122-1
Nasution, M. (2022). Potensi dan Tantangan Blue Economy Dalam Mendukung Pertumbuhan Ekonomi Di Indonesia: Kajian Literatur. Jurnal Budget, 7(2), 340–363.
Nazia, N., Butt, Z. A., Bedard, M. L., Tang, W. C., Sehar, H., & Law, J. (2022). Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review. International Journal of Environmental Research and Public Health, 19(14), 1–28. https://doi.org/10.3390/ijerph19148267
Opitz, T. (2017). Latent Gaussian modeling and INLA: A review with focus on space-time applications. Journal de La Société Française de Statistique, 158(3), 1–25. http://arxiv.org/abs/1708.02723
Pasaribu, N. G., Wulandari, F. W., & Wulandari, S. P. (2024). Pengelompokan Indikator Kemiskinan di Kabupaten/Kota Aceh Tahun 2021 Menggunakan Analisis Klaster. Bilangan : Jurnal Ilmiah Matematika, Kebumian Dan Angkasa, 2(6), 34–57. https://doi.org/10.62383/bilangan.v2i6.306
Piccolo, M. C. (2021). Effects of rainfall extreme events on coastal marine ecosystems. Precipitation, 261–285. https://doi.org/10.1016/B978-0-12-822699-5.00024-0
Porreca, Z. (2021). Assessing ocean temperature’s role in fishery production: A static model of Western and Central Pacific Tuna Fisheries. Journal of Bioeconomics, 23(3), 237–256. https://doi.org/10.1007/s10818-021-09311-1
Rachmawati, R. N., Djuraidah, A., Wigena, A. H., & Mangku, I. W. (2020). Spatio-temporal Bayes Regression with INLA in Statistical Downscaling Modeling for Estimating West Java Rainfall. Proceedings of the 1st International Conference on Statistics and Analytics. https://doi.org/10.4108/eai.2-8-2019.2290346
Rachmawati, R. N., & Pusponegoro, N. H. (2018). Spatio-Temporal Poverty Analysis with INLA in Hierarchical Bayes Ecological Regression. Procedia Computer Science, 135, 323–330. https://doi.org/10.1016/j.procs.2018.08.180
Rangel-Buitrago, N., Adriana, G. C., & Galgani, F. (2024). The collateral effects of COVID-19 on coastal and marine environments. Marine Pollution Bulletin, 207, 116903. https://doi.org/10.1016/j.marpolbul.2024.116903
Restu, R., Harefa, M. S., Duha, A., Sinabutar, A. V., Nainggolan, E., Manalu, F. V., & Fortunata, L. A. (2024). Analisis Kondisi Ekowisata Mangrove Belawan Sicanang di Kecamatan Medan Belawan, Kota Medan. Jurnal Wilayah, Kota Dan Lingkungan Berkelanjutan, 3(1), 120–129. https://doi.org/https://doi.org/10.58169/jwikal.v3i1.384
Riandy, R., Negara Lubis, S., & Yunita Aritonang, E. (2023). The influence of regional potential on the increase of regional income in Subulussalam city, Aceh province. International Journal of Multidisciplinary Research and Growth Evaluation, 4(3), 827–832. https://doi.org/10.54660/.ijmrge.2023.4.3.827-832
Rusandi, A., Hakim, A., Wiryawan, B., Sarmintohadi, & Yulianto, I. (2021). Pengembangan Kawasan Konservasi Untuk Mendukung Pengelolaan Perikanan yang Berkelanjutan di Indonesia. Marine Fisheries : Journal of Marine Fisheries Technology and Management, 12(2), 137–147. https://doi.org/10.29244/jmf.v12i2.37047
Sani, A., Abapihi, B., Mukhsar, Tosepu, R., Usman, I., & Rahman, G. A. (2023). Bayesian temporal, spatial and spatio-temporal models of dengue in a small area with INLA. International Journal of Modelling and Simulation, 43(6), 1–13. https://doi.org/10.1080/02286203.2022.2139108
Santri, D., & Hanike, Y. (2020). Pemodelan Statistical Downscaling Regresi Kuantil Lasso dan Analisis Komponen Utama untuk Pendugaan Curah Hujan Ekstrim. Mathematics & Applications Journal, 2(1), 47–57.
Sharma, B., & Sharma, B. (2020). Blue Economy: Impact of Corona Pandemic. International Journal of Management, 11(9), 717–728.
Silvestri, R., Morrone, D., Del Vecchio, P., & Mele, G. (2024). Blue economy and aquaculture before and during the pandemic era: a systematic literature review. British Food Journal, 126(1). https://doi.org/10.1108/BFJ-07-2022-0660
Simkin, J., Dummer, T. J. B., Erickson, A. C., Otterstatter, M. C., Woods, R. R., & Ogilvie, G. (2022). Small area disease mapping of cancer incidence in British Columbia using Bayesian spatial models and the smallareamapp R Package. Frontiers in Oncology, 12, 1–12. https://doi.org/10.3389/fonc.2022.833265
Tanjung, A. Y. F., Sinaga, M. P., & S., E. H. (2025). Pengaruh Suhu Permukaan Laut Terhadap Hasil Tangkapan Ikan Cakalang Yang Didaratkan di Pelabuhan Perikanan Nusantara (PPN) Sibolga Sumatera Utara. JORAPI : Journal of Research and Publication Innovation, 3(1), 975–980.
Tefera, G. W., Ray, R. L., & Wootten, A. M. (2024). Evaluation of statistical downscaling techniques and projection of climate extremes in central Texas, USA. Weather and Climate Extremes, 43, 1–16. https://doi.org/10.1016/j.wace.2023.100637
Utama, I., Siba, S., Husni, N., Sinaga, A. P., Darina, S., Syahputra, D., Silaban, M., & Yanita, Y. (2022). Innovation of marine tourism development in the east coast of North Sumatra Province. Inovasi, 19(2), 117–131. https://doi.org/10.33626/inovasi.v19i2.638
Voyer, M., Quirk, G., McIlgorm, A., & Azmi, K. (2018). Shades of blue: what do competing interpretations of the Blue Economy mean for oceans governance? Journal of Environmental Policy and Planning, 20(5), 595–616. https://doi.org/10.1080/1523908X.2018.1473153
Wang, X., Yue, Y., & Faraway, J. J. (2018). Bayesian Regression Modeling with INLA. In Chapman and Hall/CRC. https://doi.org/10.1201/9781351165761
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