East Java Economic Model: Monetary Policy Implications in the Middle of the Covid-19 Crisis
Abstract
East Java is the epicenter of Covid-19 with the highest number of positive cases in Indonesia (11,508 cases as of June 28th, 2020) surpassing DKI Jakarta. The massive spread of the virus had economic consequences. Data showed that East Java's regional income in the third quarter of this year grew negatively by 5.90% (yoy). The contraction of East Java's economic growth will affect the national economy, known that East Java was the second largest contributors to national income, with a contribution of 14.61% in 2017 (Bank_Indonesia, 2018). East Java's economic problems as a result of the pandemic need to involve a comprehensive analysis in order to produce suitable policy implications. The purpose of this study is to predict the development of the Covid-19 case in East Java, to analyze the impact of Covid-19 on the East Java economy including economic growth, inflation, exchange rates, household and government consumption as well as effective macro policy simulations as a novelty of research. This research used descriptive analytical method by involving various simulations. Based on
the results of the study, it is known that (1) the increase in Covid-19 (2.5 times) without any government policy has an impact on the decrease in East Java's regional income by 1.31% or equivalent to 4655 billion Rupiah/quarter, (2) Increasing the number The spread of covid-19 by 2.5 times accompanied by the provision of consumption credit and agricultural credit of 5% will have an impact on increasing East Java's regional income by 0.57% or equivalent to Rp. 2,021 billion/quarter, (3) An increase in consumption credit by 15% means an increase in household consumption. 2.72% or equivalent to Rp. 5,985 billion/quarter, and (4) The policy to increase money supply by 15% has an impact on increasing public consumption by 0.69% or equivalent to Rp. 1,521 billion/quarter. Based on the results, it can be concluded that the most effective policy in order to reduce the economic impact of Covid-19 is the policy to increase the provision of credit to the public in the form of consumption credit or agricultural credit by 15%.
References
Arnold, R., Sa, J. D., Gronniger, T., Percy, A., & Somers, J. (2006). A potential influenza pandemic:possible macroeconomic effects and policy issues.
Bank_Indonesia. (2018). Laporan Perekonomia Indonesia. Bank Indonesia.
Bank_Indonesia. (2020). Kajian Ekonomi Keuangan Regional Jawa Timur 2014-2020.
Barro, R.; Ursua, J.; Weng, J. (2020). The coronavirus and the Great Influenza Pandemic: lessons from the ‘Spanish flu’ for the coronavirus’ potential effects on mortality and economic activity. In NBER Working Paper no. 26866.
Bhargava, A., Jamison, D. T., Lau, L. J., & Murray, J. L. M. (2001). Modeling the Effects of Health on Economic Growth. Journal of Health Economics, 20(3), 423–440.
Bloom, D. E., & Sachs, J. D. (1998). Geography, Demography, and Economic Growth in Africa. Brookings Papers on Economic Activity, 207–273.
BPS. (2020). Pertumbuhan Ekonomi Indonesia Triwulan II-2020. BPS.
Brainerd, E., & Siegler, M. (2003). The economic effects of the 1918 influenza epidemic. In CEPR Discussion Papers no. 3791.
Burns, A. D., Mensbrugghe, V. D., & Timmer, H. (2006). Evaluating the economic consequences of avian influenza. In World Bank Working Paper, no 47417.
Cuddington, J. T., & Hancock, J. D. (1994). Assessing the Impact of AIDS on the Growth Path of the Malawian Economy. Journal of Development Economics, 43(2), 363–368.
Cuddington, J. T., Hancock, J. D., & Rogers, C. A. (1994). A Dynamic Aggregate Model of the AIDS Epidemic with Possible Policy Interventions. Journal of Policy Modeling, 16(5), 473–496.
Fan, V., Jamison, D., & Summers, L. (2016). The inclusive cost of pandemic influenza risk. In NBER Working Paper, no 22137.
Global_Preparedness_Monitoring_Board. (2019). A world at risk: annual report on global preparedness for health emergencies.
Haacker, M. (2004). The Macroeconomics of HIV/AIDS. International Monetary Fund.
Hadisoemarto, P. F. (2020). Gambaran Epidemiologi Covid-19 di Jawa Barat. Researcher - Center for Sustainable Development Goals Studies. Researcher - Pusat Studi Infeksi Klinis Fakultas Kedokteran. Universitas Padjadjaran.
Hai, W., Zhao, Z., Wang, J., & Hou, Z. G. (2004). The short-term impact of SARS on the Chinese economy. Asian Economic Papers, 3(1).
Haryanto. (2020). Dampak Covid-19 terhadap Pergerakan Nilai Tukar Rupiah dan Indeks Harga Saham Gabungan (IHSG). The Indonesian Journal of Development Palnning, 4(2), 151–165.
Keogh-Brown, Smith, M. R., Edmunds, J., & Beutels, P. (2010). The macroeconomic impact of pandemic influenza: estimates from models of the United Kingdom, France, Belgium and The Netherlands. European Journal of Health Economics, 11(1).
Kominfo_Jatim. (2020). BPS Jatim Catat Penduduk Miskin di Jatim 4.419,10 Ribu Jiwa. Dinas Komunikasi dan Informatika Provinsi Jawa Timur (Kominfo Jatim).
Koutsoyiannis, A. (1977). Theory of Econometrics. Second Edition. Harper and Row Publisher Inc.
Lee, J. W., & McKibbin, W. (2004). Estimating the global economic costs of SARS.
Naryono, E. (2020). Impact of Nastional Disaster Covid-19, Indonesia Towards Economic recession.
Nazir, M. (2009). Metode Penelitian. Penerbit Ghalia Indonesia.
Pindyck, R., & Rubinfeld, D. (1998). Econometric Models and Economic Forecasts (Fourth Edi).McGraw-Hil.
Prakasiwi, & Yani, A. (2009). Pengaruh Jumlah Uang Yang Beredar dan Tingkat Suku Bunga Terhadap Inflasi di Indonesia. Universitas Mulawarman.
Pritchett, L., & Summers, L. H. (1996). Wealthier Is Healthier. Journal of Human Resources, 31(4), 841–868.
Robalino, D. A., Jenkins, C., & Karim, E. M. (2002). The Risks and Macroeconomic Impact of HIV/AIDS in the Middle East and North Africa: Why Waiting to Intervene Can Be Costly. Policy Research Working Paper Series, The World Bank, 2874.
Robalino, D. A., Voetberg, A., & Picazo, O. (2002). The Macroeconomic Impacts of AIDS in Kenya Estimating Optimal Reduction Targets for the HIV/AIDS Incidence Rate. Journal of Policy Modeling, 24(2), 195–218.
Satgas_Covid. (2020). Analisis Data Covid-19 Indonesia Update per 20 September 2020. Satuan Tugas Penanganan Covid-19.
SMRC. (2020). 29 Juta Warga Indonesia Mengalami PHK Semasa Pandemi Covid-19. https://saifulmujani.com/
Susilawati, Falefi, R., & Purwoko, A. (2020). Impact of COVID-19’s Pandemic on the Economy of Indonesia. Budapest International Research and Critics Institute Journal (BIRCI-Journal), 3(2),1147–1156. https://doi.org/https://doi.org/10.33258/birci.v3i2.954
Sutawijya, & Zulfahmi. (2012). Pengaruh Faktor-Faktor Ekonomi Terhadap Inflasi di Indonesia. Universitas Terbuka.
Umar, H. (2005). Riset Sumberdaya Manusia dalam Organisasi. PT. Gramedia Pustaka Utama.
WHO. (2001). Macroeconomics and Health: Investing in Health for Economic Development. World Health Organization.
World_Bank. (2014). The economic impact of the 2014 ebola epidemic: short and medium term estimates for West Africa.
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