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The Impact of El Nino on Inflation in Regional Indonesia: Spatial Panel Approach

Fahmi Salam Ahmad, Hermanto Siregar, Syamsul Hidayat Pasaribu

Abstract


The study about the relationship between climate and economy is essential because it’s understanding is the key to formulate the effective economic policy. El Nino is one of the climate phenomena's that directly impact Indonesia, so it is necessary to analyze its effect on the macroeconomic condition such as inflation. This study aims to analyze the impact of El Nino as an external factor and the impact of another relevant economic factor on the macroeconomic condition such as inflation at the regional level (province) in Indonesia. The method used is a spatial panel method to capture the effect of inter-regional spatial interactions. The results show that El Nino has a positive effect on inflation in the southern Indonesian provinces that are affected by El Nino, but no effect in northern Indonesia. The other significant determinants of regional inflation are minimum wage, local revenue, local government spending, and infrastructure. There is significant spatial dependence on regional inflation in Indonesia, indicating that the inflations of its neighboring provinces influence the inflation of a province.

Keywords


El Nino; inflation; macroeconomic; spatial panel method

References


Adams, R. M., Bryant, K. J., Mccarl, B. A., Legler, D. M., O’brien, J., Solow, A., & Weiher, R. (1995). Value of Improved Long-Range Weather Information. Contemporary Economic Policy, 13(3), 10–19. https://doi.org/10.1111/j.1465-7287.1995.tb00720.x

Aldrian, E., & Susanto, R. D. (2003). Identification of Three Dominant Rainfall Regions within Indonesia and Their Relationship to Sea Surface Temperature. International Journal of Climatology, 23, 1435–1452.

Arbia, G. (2005). Using Spatial Panel Data in Modelling Regional Growth and Convergence. ISAE Working Paper No. 55.

Brodjonegoro, B. P. S., Falianty, T. A., & Gitaharie, B. Y. (2005). Determinant Factors of Regional Inflation in Decentralized Indonesia. Journal Economic and Finance in Indonesia, 53(1), 1–31.

Brouillette, D., Cheung, C., Gao, D., & Gervais, O. (2017). The Impacts of Minimum Wage Increases on The Canadian Economy. Bank of Canada: Staff Analytical Note 2017-26.

Cashin, P., Mohaddes, K., & Raissi, M. (2015). Fair Weather or Foul? The Macroeconomic Effects of El Nino. IMF Working Paper WP/15/89.

Cirino, P. H., Féres, J. G., Braga, M. J., & Reis, E. (2015). Assesing the Impacts of ENSO-related Weather Effects on the Brazilian Agriculture. Procedia Economics and Finance, 24, 146–155. https://doi.org/10.1016/S2212-5671(15)00635-8

Dekiawan, H. (2014). Konvergensi Penerimaan dan Pengeluaran Pemerintah Provinsi di Indonesia: Pendekatan Data Panel Dinamis Spasial (Convergence of Provincial Government Revenues and Expenditures in Indonesia: Approach to Dynamic Spatial Panel Data). Buletin Ekonomi Moneter Dan Perbankan, 17(1), 99–128.

Elhorst, J. P. (2014). Spatial Econometrics: From Cross-sectional Data to Spatial Panels. Berlin: Springer.

Falianty, T. A., & Hanifah, L. (2012). Determinan Inflasi Regional Kota-kota di Provinsi Jawa Barat (Determinants of Regional Inflation of Cities in West Java Province). Kajian Ekonomi Dan Keuangan, 16(1), 37–65.

Habibie, M. N., & Nuraini, T. A. (2014). Karakteristik dan Tren Perubahan Suhu Permukaan Laut di Indonesia Periode 1982-2009 (Characteristics and Trends of Changes in Sea Surface Temperature in Indonesia in The period 1982-2009). Jurnal Meteorologi Dan Geofisika, 15(1), 37–49.

Iizumi, T., Luo, J. J., Challinor, A. J., Sakurai, G., Yokozawa, M., Sakuma, H., … Yamagata, T. (2014). Impacts of El Niño Southern Oscillation on the global yields of major crops. Nature Communications, 3712. https://doi.org/10.1038/ncomms4712

Jajang, Saefuddin, A., Mangku, I. W., & Siregar, H. (2013). Analisis Kemiskinan Menggunakan Model Panel Spasial Statik (Poverty Analysis Uses a Static Spatial Panel Model). Mimbar, 29(2), 195–203.

Laosuthi, T., & Selover, D. D. (2007). Does El Nino Affect Business Cycle? Eastern Economic Journal, 33(1), 21–42.

Lemos, S. (2004). The Effect of the Minimum Wage on Prices. IZA Discussion Paper No. 1072.

LeSage, J., & Pace, R. K. (2009). Introduction to Spatial Econometrics. Florida: Champan & Hall.

Nguyen, T. D. (2018). Impact of Government Spending on Inflation in Asian Emerging Economies: Evidence from India, China, and Indonesia. The Singapore Economic Review, 63(1), 1–30.

Solow, A. R., Adams, R. F., Bryant, K. J., Legler, D. M., O’brien, J. J., & McCarl, B. A. (1998). The Value of Improved ENSO Prediction to US Agriculture. Climatic Change, 39(1), 47–60. https://doi.org/10.1023/A:1005342500057

Suryantoro, A., & Siswanto, B. (2008). Analisis Korelasi Suhu Udara Permukaan dan Curah hujan di Jakarta dan Pontianak Dengan Anomali Suhu Muka Laut Samudera India dan Pasifik Tropis dalam Kerangka Osilasi Dua Tahunan Troposfer (Analysis of Surface Air Temperature Correlation and Rainfall in Jakarta and Pontianak With Anomalies of Indian Ocean and Tropical Pacific Sea Surface Temperature in Tropospheric Biennial Oscillation Framework). Jurnal Sains Dirgantara, 6(1), 1–21.

Tirtosuharto, D., & Adiwilaga, H. (2013). Decentralization and Regional Inflation in Indonesia. Buletin Ekonomi Moneter Dan Perbankan, 16(2), 149–166.

Ubilava, D. (2011). El Niño, La Niña, and World Coffee Price Dynamics. Agricultural Economics, 43(1), 17–26. https://doi.org/10.1111/j.1574-0862.2011.00562.x


Full Text: PDF

DOI: 10.15408/sjie.v8i1.7130

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