Analisis Dampak Insentif Fiskal Penetapan Harga Gas Bagi Industri Domestik Terhadap Perekonomian: Pendekatan Model CGE Dinamis

Authors

  • anda nugroho Fiscal Policy Agency, Ministry of Finance
  • Hidayat Amir Fiscal Policy Agency, Ministry of Finance

DOI:

https://doi.org/10.31685/kek.v2i1.322

Keywords:

Harga Gas, Insentif Fiskal, Analisis Dampak, CGE Dinamis, Gas Price, fiscal Incentive, Impact Analysis, Dynamic CGE Model

Abstract

Abstrak

Optimalisasi pemanfaatan gas bumi untuk kebutuhan domestik terkendala oleh mahalnya harga gas yang sampai di tangan industri pengguna gas domestik. Untuk mengatasi hal tersebut, pemerintah telah mengeluarkan insentif fiskal berupa Perpres nomor 40 tahun 2016 tentang Penetapan Harga Gas Bumi. Penelitian ini bertujuan untuk menganalis dampak dari insentif fiskal tersebut terhadap perekonomian nasional. Hasil simulasi dengan model Computable General Equilibrium (CGE) Fiskal Dinamis menunjukkan bahwa kebijakan penetapan harga gas bumi tertentu dapat meningkatkan kinerja perekonomian nasional. Hal tersebut ditandai dengan adanya peningkatan GDP pada kisaran 0,12% - 0,13% pada jangka menengah. Pada sisi industri, harga input gas yang lebih rendah akan memangkas biaya produksi sehingga membuat output industri menjadi lebih murah kompetitif. Industri yang mengalami peningkatan output antara lain industri besi baja, industri pupuk, industri keramik, industri kaca, industri barang-barang dari karet, industri pulp & kertas, dan industri makanan & minuman.

Abstract

Expensive domestic gas price has constrained the natural gas utilization by the domestic industry. To deal with this situation, the government has issued fiscal incentives of Presidential Regulation number 40 of 2016 on the Natural Gas Price Regulation. The purpose of this paper is to analyze the impact of the fiscal incentives to the economy. The Simulation result with Dynamic Fiscal CGE model shows that overall, the fiscal incentive will improve the performance of the national economy. The GDP increases in the range of 0.12% - 0.13% in the medium term. On the micro side, lower gas input prices will lower production costs, thus making industrial output cheaper and more competitive. The output of the following Industries are increasing: steel, fertilizer, ceramic, glass, rubber, pulp & paper, and food & beverage

References

Amir, H. (2011). Tax Policy, Growth, and Income Distribution in Indonesia: A Computable General Equilibrium Analysis. the University of Queensland.

Amir, H., Asafu-Adjaye, J., & Ducpham, T. (2013). The impact of the Indonesian income tax reform: A CGE analysis. Economic Modelling, 31(1), 492–501. https://doi.org/10.1016/j.econmod.2012.12.018

Amir, H., Irawan, F., Hartono, D., & Nugroho, A. (2015). The Development of Fiscal Social Accounting Matrix for Indonesia. Working Paper in Economics and Business, V(6). Retrieved from http://econ.feb.ui.ac.id/katagori/working-paper/

Anderson, K., Cockburn, J., & Martin, W. (2011). Would Freeing Up World Trade Reduce Poverty and Inequality? The Vexed Role of Agricultural Distortions. World Economy, 34(4), 487–515. https://doi.org/10.1111/j.1467-9701.2011.01339.x

British Petroleum, G. (2016). The 65th Statistical Review of World Energy. BP Statistical Review of World Energy. https://doi.org/10.1016/j.egypro.2013.06.172

Burfisher, M. E. (2011). Introduction to computable general equilibrium models. Introduction to Computable General Equilibrium Models. https://doi.org/10.1017/CBO9780511975004

Corong, E. L., & Horridge, M. (2012). PHILGEM: A SAM-based computable general equilibrium model of the Philippines. Centre of Policy Studies and Impact Project, Monash University, Australia.

Dutu, R. (2016). Challenges and policies in Indonesia’s energy sector. Energy Policy, 98, 513–519. https://doi.org/10.1016/j.enpol.2016.09.009

Flavin, C., & Kitasei, S. (2010). The Role of Natural Gas in a Low-Carbon Energy Economy. Worldwatch Institute.

Giziene, V., & Zalgiryte, L. (2015). The Assessment of Natural Gas Pricing. Procedia - Social and Behavioral Sciences, 213(8 37), 111–116. https://doi.org/10.1016/j.sbspro.2015.11.412

He, Y., & Lin, B. (2017). The impact of natural gas price control in China: A computable general equilibrium approach. Energy Policy, 107, 524–531. https://doi.org/10.1016/j.enpol.2017.05.015

He, Y. X., Zhang, S. L., Yang, L. Y., Wang, Y. J., & Wang, J. (2010). Economic analysis of coal price-electricity price adjustment in China based on the CGE model. Energy Policy, 38(11), 6629–6637. https://doi.org/10.1016/j.enpol.2010.06.033

Horridge, M. (2002). ORANIGRD: a Recursive Dynamic version of ORANIG.

Horridge, M. (2003). ORANI-G: A generic single-country computable general equilibrium model. Centre of Policy Studies—COPS. Monash University. …. Retrieved from http://www.economia.esalq.usp.br/intranet/uploadfiles/3297.pdf%0Ahttp://www.copsmodels.com/ftp/gpextra/oranig06doc.pdf%0Ahttp://www.economia.esalq.usp.br/intranet/uploadfiles/3297.pdf%5Cnhttp://www.copsmodels.com/ftp/gpextra/oranig06doc.pdf

Mujiyanto, S., & Tiess, G. (2013). Secure energy supply in 2025: Indonesia’s need for an energy policy strategy. Energy Policy, 61(5), 31–41. https://doi.org/10.1016/j.enpol.2013.05.119

Nugroho, A., Amir, H., & Wargadalam, V. J. (2015). Menimbang Berbagai Alternatif Penyesuaian Harga BBM Premium dan Dampaknya Terhadap Perekonomian. Kajian Ekonomi & Keuangan, 19(3), 246–265.

Orlov, A. (2015). An assessment of optimal gas pricing in Russia: A CGE approach. Energy Economics, 49, 492–506. https://doi.org/10.1016/j.eneco.2015.03.013

Orlov, A. (2017). Distributional effects of higher natural gas prices in Russia. Energy Policy, 109(July), 590–600. https://doi.org/10.1016/j.enpol.2017.07.047

Parkinson, T. (2014). Gas Pricing in Southeast Asia. Retrieved from http://www.lantaugroup.com/files/ppt_pgen14_tp.pdf

Pudyantoro, A. R. (2014). Proyek hulu migas: evaluasi dan analisis petroekonomi. Petromindo.

SKK Migas. (2016). Implementasi Perpres No 40 Tahun 2016 dan Permen ESDM No 16 Tahun 2016. Unpublished internal document. Unpublished internal document.

Zhang, W., Yang, J., Zhang, Z., & Shackman, J. D. (2017). Natural gas price effects in China based on the CGE model. Journal of Cleaner Production, 147, 497–505. https://doi.org/10.1016/j.jclepro.2017.01.109

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Published

2018-09-05

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