Dynamic Relationship of Macro Variables and Liquefied Petroleum Gas Subsidy Transformation Program
DOI:
https://doi.org/10.21512/bbr.v14i2.8557Keywords:
macro variables, liquefied petroleum gas (LPG), subsidy transformation programAbstract
Most Indonesians rely on liquefied petroleum gas as one of their primary sources of energy. Liquefied petroleum gas is classified into subsidized and non-subsidized. Subsidized liquefied petroleum gas is primarily used by low-income households, small businesses, as well as poor fishermen and farmers for cooking. However, no exit strategy has been established to overcome the increase in government spending on subsidized kerosene introduced in 2008. The problem is that macro variables may influence liquefied petroleum gas economic prices. The research aimed to identify the relationship between macro variables that might affect liquefied petroleum gas economic prices. It applied a quantitative method with Vector Auto Regression (VAR) and Vector Error Correction Model (VECM). The results demonstrate that inflation rate have a significant impact on the economic price of liquefied petroleum gas. Then, gross domestic product, inflation rate, and world gas price have positive correlations to the economic prices in liquefied petroleum gas. Meanwhile, currency exchange and world oil price have negative coefficients. The regression model indicates that a rise in inflation increases market prices in liquefied petroleum gas. Furthermore, the increased subsidized fuel means more poor people cannot afford liquefied petroleum gas. It is because high inflation reduces purchasing and potentially increases the number of poor people.
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References
Aggarwal, P., Viswamohanan, A., Narayanaswamy, D., & Sharma, S. (2020). Unpacking India’s electricity subsidies: Reporting, transparancy, and efficacy. Retrieved from https://policycommons.net/artifacts/1428528/unpacking-indias-electricity-subsidies/2043412/
Alenoghena, R. O. (2020). Oil price shocks and macroeconomic performance of the Nigerian economy: A structural VAR approach. Facta Universitatis-Economics and Organization, 17(4), 299–316.
Alese, F. (2008). Price discrimination. In Federal antitrust and EC competition law analysis. Routledge. https://doi.org/10.4324/9781315255354-19
Andadari, R. K., Mulder, P., & Rietveld, P. (2014). Energy poverty reduction by fuel switching. Impact evaluation of the LPG conversion program in Indonesia. Energy Policy, 66(March), 436–449. https://doi.org/10.1016/j.enpol.2013.11.021
Arifah, L. F., Basorudin, M., Majid, M. A., Choirunnisa, M., & Eltheofany, S. P. L. (2020). Studi empiris pengaruh harga minyak mentah dunia dan variabel moneter terhadap perekonomian Indonesia periode 1996-2018. Jurnal Ekonomi-Qu, 10(1), 23–44. https://doi.org/10.35448/jequ.v10i1.8577
Asmara, A., Oktaviani, R., Kuntjoro, & Firdaus, M. (2016). Volatilitas harga minyak dunia dan dampaknya terhadap kinerja sektor industri pengolahan dan makroekonomi Indonesia. Jurnal Agro Ekonomi, 29(1), 49–69.
Badli, S., Masbar, R., Nazamuddin, Nasir, M., Zulham, T., Saputra, J., Syahril, & Noviar, H. (2020). Investigating the efficiency of government expenditure on energy consumption (fuel) subsidy policy in Indonesia: An application of stochastic frontier model. International Journal of Energy Economics and Policy, 10(4), 161–165. https://doi.org/10.32479/ijeep.9507
Basuki, A. T., & Prawoto, N. (2019). Analisis Regresi dalam Penelitian Ekonomi & Bisnis (Dilengkapi aplikasi SPSS & EVIEWS. PT RajaGrafindo Persada.
Breisinger, C., Mukashov, A., Raouf, M., & Wiebelt, M. (2019). Energy subsidy reform for growth and equity in Egypt: The approach matters. Energy Policy, 129(June), 661–671. https://doi.org/10.1016/j.enpol.2019.02.059
Bui, X. H. (2020). An investigation of the causal relationship between energy consumption and economic growth: A case study of Vietnam. International Journal of Energy Economics and Policy, 10(5), 415–421. https://doi.org/10.32479/ijeep.9583
Carlton, D. W., & Perloff, J. M. (1981). Price discrimination, vertical integration and divestiture in natural resource markets. Resources and Energy, 3(1), 1–11. https://doi.org/10.1016/0165-0572(81)90007-4
Choi, W., Yoo, E., Seol, E., Kim, M., & Song, H. H. (2020). Greenhouse gas emissions of conventional and alternative vehicles: Predictions based on energy policy analysis in South Korea. Applied Energy, 265(May), 1–17. https://doi.org/10.1016/j.apenergy.2020.114754
Coelho, S. T., & Goldemberg, J. (2013). Energy access: Lessons learned in Brazil and perspectives for replication in other developing countries. Energy Policy, 61(October), 1088–1096. https://doi.org/10.1016/j.enpol.2013.05.062
Coelho, S. T., Sanches-Pereira, A., Tudeschini, L. G., & Goldemberg, J. (2018). The energy transition history of fuelwood replacement for liquefied petroleum gas in Brazilian households from 1920 to 2016. Energy Policy, 123(December), 41–52. https://doi.org/10.1016/j.enpol.2018.08.041
Coxhead, I., & Grainger, C. (2018). Fossil fuel subsidy reform in the developing world: Who wins, who loses, and why? Asian Development Review, 35(2), 180–203. https://doi.org/10.1162/ADEV_A_00119
Devpura, N., & Narayan, P. K. (2020). Hourly oil price volatility: The role of COVID-19. Energy RESEARCH LETTERS, 1(2), 1–5. https://doi.org/10.46557/001c.13683
Ekelund, Jr. R. B. (1970). Price discrimination and product differentiation in economic theory: An early analysis. The Quarterly Journal of Economics, 84(2), 268–278.
Emodi, N. V., Emodi, C. C., Murthy, G. P., & Emodi, A. S. A. (2017). Energy policy for low carbon development in Nigeria: A LEAP model application. Renewable and Sustainable Energy Reviews, 68(February), 247–261. https://doi.org/10.1016/j.rser.2016.09.118
Febrianti, D. R., Tiro, M. A., & Sudarmin. (2021). Metode Vector Autoregressive (VAR) dalam menganalisis pengaruh kurs mata uang terhadap ekspor dan impor di Indonesia. VARIANSI: Journal of Statistics and Its application on Teaching and Research, 3(1), 23–30. https://doi.org/10.35580/variansiunm14645
Firdaus, M., Irawan, T., Ahmad, F. S., Siregar, H., Siswara, D., & Jakariya, R. (2020). Aplikasi model ekonometrika dengan Rstudio (Model time-series, panel, spatial). IPB Press.
Ghoddusi, H., Morovati, M., & Rafizadeh, N. (2022). Dynamics of fuel demand elasticity: Evidence from Iranian subsidy reforms. Energy Economics, 110(June), 1–14. https://doi.org/10.1016/j.eneco.2022.106009
Ghoddusi, H., Rafizadeh, N., & Rahmati, M. H. (2018). Price elasticity of gasoline smuggling: A semi-structural estimation approach. Energy Economics, 71(March), 171–185. https://doi.org/10.1016/j.eneco.2018.02.008
Gobel, R., Panjaitan, A., Sutedja, R., Priambudhi, Wahono, F. A., Chandra, A., & Wicaksono, B. (2021). Reformasi kebijakan subsidi LPG tepat sasaran: Mengurangi kesenjangan dan menjamin pemerataan. Tim Nasional Percepatan Penanggulangan Kemiskinan.
Gould, C. F., & Urpelainen, J. (2018). LPG as a clean cooking fuel: Adoption, use, and impact in rural India. Energy Policy, 122(November), 395–408. https://doi.org/10.1016/j.enpol.2018.07.042
Husaini, D. H., Puah, C. H., & Lean, H. H. (2019). Energy subsidy and oil price fluctuation, and price behavior in Malaysia: A time series analysis. Energy, 171, 1000–1008. https://doi.org/10.1016/j.energy.2019.01.078
Lütkepohl, H., & Krätzig, M. (Eds.). (2009). Applied time series econometrics. Cambridge University Press. https://doi.org/10.1017/CBO9780511606885
Iyke, B. N. (2020). COVID-19: The reaction of US oil and gas producers to the pandemic. Energy Research Letters, 1(2), 1–7. https://doi.org/10.1002/ieam.4359
Jakob, M., Soria, R., Trinidad, C., Edenhofer, O., Bak, C., Bouille, D., ... & Yamada, K. (2019). Green fiscal reform for a just energy transition in Latin America. Economics, 13(1), 1–11. https://doi.org/10.5018/economics-ejournal.ja.2019-17
Jayanti, D., Sadik, K., & Afendi, F. M. (2021). Multivariate generalized autoregressive score model (Case study: Vegetable oils and crude oil price data). Journal of Physics: Conference Series, 1863, 1–18. https://doi.org/10.1088/1742-6596/1863/1/012059
Kim, J. M., & Jung, H. (2018). Dependence structure between oil prices , exchange rates , and interest rates. The Energy Journal, 39(2), 259–280. https://doi.org/https://doi.org/10.5547/01956574.39.2.jkim
Kivevele, T., Raja, T., Pirouzfar, V., Waluyo, B., & Setiyo, M. (2020). LPG-fueled vehicles: An overview of technology and market trend. Automotive Experiences, 3(1), 6–19. https://doi.org/10.31603/ae.v3i1.3334
Kuehl, J. (2021). LPG subsidy reform in Indonesia: Lessons learned from international experience. Retrieved from https://policycommons.net/artifacts/1529405/lpg-subsidy-reform-in-indonesia/2219203/
Lin, B., & Wang, Y. (2020). Analyzing the elasticity and subsidy to reform the residential electricity tariffs in China. International Review of Economics & Finance, 67(May), 189–206. https://doi.org/10.1016/j.iref.2020.01.005
Liu, Z., Wang, S., Lim, M. Q., Kraft, M., & Wang, X. (2021). Game theory-based renewable multi-energy system design and subsidy strategy optimization. Advance in Applied Energy, 2, 1–16.
Majidpour, M. (2022). Policy lessons from the execution of fuel dual-pricing: Insights for fuel-subsidizing economies. Energy, 247. https://doi.org/10.1016/J.ENERGY.2022.123480
Mankiw, G. N. (2004). Ten principles of economics. Thomson/South-Western.
Mateut, S. (2018). Subsidies, financial constraints and firm innovative activities in emerging economies. Small Business Economics, 50(1), 131–162. https://doi.org/10.1007/s11187-017-9877-3
Meng, L., Qiang, Q., Huang, Z., Zhang, B., & Yang, Y. (2020). Optimal pricing strategy and government consumption subsidy policy in closed-loop supply chain with third-party remanufacturer. Sustainability, 12(6), 1–29. https://doi.org/10.3390/su12062411
Mugaloglu, E., Polat, A. Y., Tekin, H., & Dogan, A. (2021). Oil price shocks during the COVID-19 pandemic: Evidence from United Kingdom energy stocks. Energy RESEARCH LETTERS, 2(1), 1–5. https://doi.org/10.46557/001c.24253
Murshed, M. (2021). LPG consumption and environmental Kuznets curve hypothesis in South Asia: A time-series ARDL analysis with multiple structural breaks. Environmental Science and Pollution Research, 28, 8337–8372. https://doi.org/10.1007/s11356-020-10701-7
Nasir, M. A., Al-Emadi, A. A., Shahbaz, M., & Hammoudeh, S. (2019). Importance of oil shocks and the GCC macroeconomy: A structural VAR analysis. Resources Policy, 61(June), 166–179. https://doi.org/10.1016/j.resourpol.2019.01.019
Nasir, M. A., Naidoo, L., Shahbaz, M., & Amoo, N. (2018). Implications of oil prices shocks for the major emerging economies: A comparative analysis of BRICS. Energy Economics, 76(October), 76–88. https://doi.org/10.1016/j.eneco.2018.09.023
Perry, K. K. (2020). For politics, people, or the planet? The political economy of fossil fuel reform, energy dependence and climate policy in Haiti. Energy Research & Social Science, 63(May), 1–13. https://doi.org/10.1016/j.erss.2019.101397
Pigou, A. C. (1920). The economics of welfare (Palgrave classics in economics). Palgrave Macmillan.
Pirveli, E., Shugliashvili, T., & Machavariani, N. (2020). Rethinking economic policy of Georgia in the times of COVID-19. International Journal of Economic Policy in Emerging Economies, 1–28.
Prabowo, E., Harianto, Juanda, B., & Indrawan, D. (2022). The economic price of liquid petroleum gas, poverty and subsidy removal compensation scenario in Indonesia. International Journal of Energy Economics and Policy, 12(5), 169–177. https://doi.org/10.32479/ijeep.13356
Purnomo, S. D., Istiqomah, I., & Badriah, L. S. (2020). Pengaruh harga minyak dunia terhadap pertumbuhan ekonomi, inflasi, dan pengangguran di Indonesia. Jurnal PROFIT: Kajian Pendidikan Ekonomi dan Ilmu Ekonomi, 7(1), 13–24.
Ramyar, S., & Kianfar, F. (2019). Forecasting crude oil prices: A comparison between artificial neural networks and vector autoregressive models. Computational Economics, 53, 743–761. https://doi.org/10.1007/s10614-017-9764-7
Renner, S., Lay, J., & Schleicher, M. (2019). The effects of energy price changes: Heterogeneous welfare impacts and energy poverty in Indonesia. Environment and Development Economics, 24(2), 180–200. https://doi.org/10.1017/S1355770X18000402
Rentschler, J., & Bazilian, M. (2017). Reforming fossil fuel subsidies: drivers, barriers and the state of progress. Climate Policy, 17(7), 891–914. https://doi.org/10.1080/14693062.2016.1169393
Santika, W. G., Urmee, T., Simsek, Y., Bahri, P. A., & Anisuzzaman, M. (2020). An assessment of energy policy impacts on achieving Sustainable Development Goal 7 in Indonesia. Energy for Sustainable Development, 59(December), 33–48. https://doi.org/10.1016/j.esd.2020.08.011
Schaffitzel, F., Jakob, M., Soria, R., Vogt-Schilb, A., & Ward, H. (2020). Can government transfers make energy subsidy reform socially acceptable? A case study on Ecuador. Energy Policy, 137(February), 1–15. https://doi.org/10.1016/j.enpol.2019.111120
Shahbaz, M., Lahiani, A., Abosedra, S., & Hammoudeh, S. (2018). The role of globalization in energy consumption: A quantile cointegrating regression approach. Energy Economics, 71(March), 161–170. https://doi.org/10.1016/j.eneco.2018.02.009
Shahbaz, M., Zakaria, M., Shahzad, S. J. H., & Mahalik, M. K. (2018). The energy consumption and economic growth nexus in top ten energy-consuming countries: Fresh evidence from using the quantile-on-quantile approach. Energy Economics, 71(March), 282–301. https://doi.org/10.1016/j.eneco.2018.02.023
Sims, C. (2002). Structural VAR’s. In Time series econometrics (pp. 1–10).
Tamba, J. G. (2020). LPG consumption and economic growth, 1975-2016: Evidence from Cameroon. International Journal of Energy Sector Management, 15(1), 195–208. https://doi.org/10.1108/IJESM-01-2020-0005
Timilsina, G. R., & Pargal, S. (2020). Economics of energy subsidy reforms in Bangladesh. Energy Policy, 142(July), 1–13. https://doi.org/10.1016/j.enpol.2020.111539
Valenti, D., Manera, M., & Sbuelz, A. (2020). Interpreting the oil risk premium: Do oil price shocks matter? Energy Economics, 91(September), 1–15. https://doi.org/10.1016/j.eneco.2020.104906
World Bank. (2020). The World Bank annual report 2020: Supporting countries in unprecedented times: Main report (Japanese). Retrieved from http://documents.worldbank.org/curated/en/784201605863327942/Main-Report
Yanwardhana, E. (2021). Indonesia teken kontrak beli LPG dari ADNOC Rp 28 t. Retrieved from https://www.cnbcindonesia.com/news/20210305204013-4-228245/indonesia-teken-kontrak-beli-lpg-dari-adnoc-rp-28-t
Yii, K. J., Geetha, C., & Chandran, V. V. (2017). Estimating the elasticity of energy over consumption at micro level: A case study in Sabah, Malaysia. Energy Procedia, 105(May), 3571–3576. https://doi.org/10.1016/j.egypro.2017.03.824
Zhao, X., Luo, D., Lu, K., Wang, X., & Dahl, C. (2019). How the removal of producer subsidies influences oil and gas extraction: A case study in the Gulf of Mexico. Energy, 166(January), 1000–1012. https://doi.org/10.1016/j.energy.2018.10.139
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