Modeling of Natural Gas Consumption: An Analysis for Turkey with the MARS Method

Year 2022, , 1933 - 1947, 19.10.2022

Rıdvan Aydın , Serhat Yüksel , Gökhan Silahtaroğlu , Hasan Dinçer

https://doi.org/10.21547/jss.1093153

Abstract

In this study, it is aimed to present a model for estimating the natural gas demand in Turkey. Natural gas consumption is considered as the dependent variable, and accordingly, macroeconomic data, climatic conditions, energy and price data, and social and cultural data are used as independent variables. In this study, in which monthly data were evaluated, 78 observations of the variables between January 2015 and June 2021 were included in the scope. MARS method was used in the Madelin analysis process. The model includes 3 basic functions and 2 variables as temperature rate and renewable energy rate. As long as temperature decreases are at reasonable levels, it is seen that the rate of increase in renewable energy has a very important effect on the decrease in natural gas consumption. In order to reduce the share of natural gas, which is 99% dependent on imports, in macroeconomic balances, it is revealed as a result of the analysis that renewable energy investments should be continued without slowing down, since we cannot control the temperature changes.

Keywords

Natural Gas Consumption, Energy Economics, Energy Supply, MARS

Doğal Gaz Tüketiminin Modellenmesi: Türkiye İçin MARS Yöntemiyle Bir Analiz

Abstract

Bu çalışmada Türkiye’deki doğal gaz talebinin tahmin edilmesine yönelik model ortaya konması amaçlanmaktadır. Doğal gaz tüketimi bağımlı değişken olarak ele alınmış, buna bağlı olarak makroekonomik veriler, iklim koşulları, enerji ve fiyat verileri ile toplumsal ve kültürel veriler bağımsız değişken olarak kullanılmaktadır. Aylık verilerin değerlendirildiği bu çalışmada değişkenlere ait 2015 yılı ocak ayı ile 2021 yılı haziran ayı arasındaki 78 gözlem kapsama dâhil edilmiştir. Madelin analiz sürecinde MARS yönteminden faydalanılmıştır. Modelde 3 temel fonksiyon ile sıcaklık oranı ve yenilenebilir enerji oranı olarak 2 değişken yer almaktadır. Sıcaklık azalışları makul seviyelerde olduğu sürece yenilenebilir enerjideki artış oranının doğal gaz tüketiminin düşmesinde çok önemli etkiye sahip olduğu görülmektedir. %99 oranında ithalata bağımlı olan doğal gazın makroekonomik dengeler içerisindeki payını azaltmak için, sıcaklık değişikliklerimi kontrol edemediğimiz bir durum olduğundan, yenilenebilir enerji yatırımlarına hız kesmeden devam edilmesi gerektiği analiz sonucunda ortaya çıkmaktadır.

Keywords

Doğalgaz Tüketimi, Enerji Ekonomisi, Enerji Tedariki, MARS

References

• Abd, A. A., Naji, S. Z., Thian, T. C., & Othman, M. R. (2021). Evaluation of hydrogen concentration effect on the natural gas properties and flow performance. International Journal of Hydrogen Energy, 46(1), 974-983.
• Afrouzy, Z. A., & Taghavi, M. (2021). Thermo-economic analysis of a novel integrated structure for liquefied natural gas production using photovoltaic panels. Journal of Thermal Analysis and Calorimetry, 145(3), 1509-1536.
• Bhuiyan, M. A., Dinçer, H., Yüksel, S., Mikhaylov, A., Danish, M. S. S., Pinter, G., ... & Stepanova, D. (2022). Economic indicators and bioenergy supply in developed economies: QROF-DEMATEL and random forest models. Energy Reports, 8, 561-570.
• Chai, J., Zhang, X., Lu, Q., Zhang, X., & Wang, Y. (2021). Research on imbalance between supply and demand in China's natural gas market under the double-track price system. Energy Policy, 155, 112380.
• Dai, J., Ni, Y., Dong, D., Qin, S., Zhu, G., Huang, S., ... & Feng, Z. (2021). 2021–2025 is a period of great development of China's natural gas industry: Suggestions on the exploration and development of natural gas during the 14th five-year plan in China. Journal of Natural Gas Geoscience, 6(4), 183-197.
• Dinçer, H., Hacıoğlu, Ü., & Yüksel, S. (2018). Determining influencing factors of currency exchange rate for decision making in global economy using MARS method. In Geopolitics and strategic management in the global economy (pp. 261-273). IGI Global.
• Dong, K., Jiang, Q., Shahbaz, M., & Zhao, J. (2021). Does low-carbon energy transition mitigate energy poverty? The case of natural gas for China. Energy Economics, 99, 105324.
• Dong, W., Zhao, G., Yüksel, S., Dinçer, H., & Ubay, G. G. (2022). A novel hybrid decision making approach for the strategic selection of wind energy projects. Renewable Energy, 185, 321-337.
• Friedman, J. H. (1991). Multivariate adaptive regression splines. The annals of statistics, 19(1), 1-67.
• Hall, J. E., Hooker, P., & Jeffrey, K. E. (2021). Gas detection of hydrogen/natural gas blends in the gas industry. International Journal of Hydrogen Energy, 46(23), 12555-12565.
• Janzwood, A., & Millar, H. (2022). Bridge fuel feuds: The competing interpretive politics of natural gas in Canada. Energy Research & Social Science, 88, 102526.
• Jia, A., He, D., Wei, Y., & Li, Y. (2021). Predictions on natural gas development trend in China for the next fifteen years. Journal of Natural Gas Geoscience, 6(2), 67-78.
• Kalisz, S., Kibort, K., Mioduska, J., Lieder, M., & Małachowska, A. (2022). Waste management in the mining industry of metals ores, coal, oil and natural gas-A review. Journal of environmental management, 304, 114239.
• Kostis, P., Dinçer, H., & Yüksel, S. (2022). Knowledge-Based Energy Investments of European Economies and Policy Recommendations for Sustainable Development. Journal of the Knowledge Economy, 1-33.
• Kou, G., Yüksel, S., & Dinçer, H. (2022). Inventive problem-solving map of innovative carbon emission strategies for solar energy-based transportation investment projects. Applied Energy, 311, 118680.
• Lehman, J., & Kinchy, A. (2021). Bringing climate politics home: Lived experiences of flooding and housing insecurity in a natural gas boomtown. Geoforum, 121, 152-161.
• Li, H., Shahbaz, M., Jiang, H., & Dong, K. (2021). Is natural gas consumption mitigating air pollution? Fresh evidence from national and regional analysis in China. Sustainable Production and Consumption, 27, 325-336.
• Liu, D., & Xu, H. (2021). A rational policy decision or political deal? A multiple streams' examination of the Russia-China natural gas pipeline. Energy Policy, 148, 111973.
• Mooney, R., Boudet, H. S., & Hazboun, S. O. (2022). Risk-benefit perceptions of natural gas export in Oregon. Local Environment, 1-15.
• Mukhtarov, S., Yüksel, S., & Dinçer, H. (2022). The impact of financial development on renewable energy consumption: Evidence from Turkey. Renewable Energy.
• Niyazbekova, S. U., Ivanova, O. S., Suleimenova, B., Yerzhanova, S. K., & Berstembayeva, R. K. (2021). Oil and gas investment opportunities for companies in modern conditions. In Socio-economic Systems: Paradigms for the Future (pp. 669-676). Springer, Cham.
• Norouzi, N. (2021). Post‐COVID‐19 and globalization of oil and natural gas trade: Challenges, opportunities, lessons, regulations, and strategies. International journal of energy research, 45(10), 14338-14356.
• Pretyman, D., Greaves, T., & Millerick, A. (2021). The role of natural gas utilities and pipeline operators in a decarbonized economy. Climate and Energy, 38(1), 1-10.
• Ravigné, E., & Da Costa, P. (2021). Economic and environmental performances of natural gas for heavy trucks: A case study on the French automotive industry supply chain. Energy Policy, 149, 112019.
• Rawat, A., & Garg, C. P. (2021). Assessment of the barriers of natural gas market development and implementation: A case of developing country. Energy Policy, 152, 112195.
• Russo, T. N. (2021). Responsibly Sourced Gas: Time to Change the Natural Gas Industry's Narrative. Climate and Energy, 37(7), 22-27.
• Santibanez-Borda, E., Korre, A., Nie, Z., & Durucan, S. (2021). A multi-objective optimisation model to reduce greenhouse gas emissions and costs in offshore natural gas upstream chains. Journal of Cleaner Production, 297, 126625.
• Snodgrass, K. B. (2021). The State of the Oil and Natural Gas Industry in Oklahoma: The Oil and Gas Industry Moving Forward Post McGirt/Murphy. ONE J, 7, 249.
• Szabo, J. (2021). Natural Gas’ Changing Discourse in European Decarbonisation. In Energy Humanities. Current State and Future Directions (pp. 67-88). Springer, Cham.
• Yang, Y., Yang, Y., Wen, L., Zhang, X., Chen, C., Chen, K., ... & Xie, C. (2021). New progress and prospect of Middle Permian natural gas exploration in the Sichuan Basin. Natural Gas Industry B, 8(1), 35-47.
• Yin, X., Wen, K., Wu, Y., Han, X., Mukhtar, Y., & Gong, J. (2022). A machine learning-based surrogate model for the rapid control of piping flow: Application to a natural gas flowmeter calibration system. Journal of Natural Gas Science and Engineering, 98, 104384.
• Yüksel, S. (2016). Türkiye'de cari işlemler açığının belirleyicileri: Mars yöntemi ile bir inceleme. Bankacılar, 27(96), 102-121.
• Yüksel, S., & Ubay, G. G. (2020). Identifying the influencing factors of renewable energy consumption in Turkey with MARS methodology. Ekonomi İşletme ve Maliye Araştırmaları Dergisi, 2(1), 1-14.
• Zhang, R., Li, H., Chen, T., & Hou, B. (2021). How does natural gas consumption affect human health? Empirical evidence from China. Journal of Cleaner Production, 320, 128795.
• Zhang, Y., Zhang, Y., Gong, C., Dinçer, H., & Yüksel, S. (2022). An integrated hesitant 2-tuple Pythagorean fuzzy analysis of QFD-based innovation cost and duration for renewable energy projects. Energy, 123561.
• Dinçer, H., Hacıoğlu, Ü., & Yüksel, S. (2018a). Determining influencing factors of currency exchange rate for decision making in global economy using MARS method. In Geopolitics and strategic management in the global economy (pp. 261-273). IGI Global.
• Dinçer, H., Hacıoğlu, Ü., & Yüksel, S. (2018b). Evaluating the effects of economic imbalances on gold price in Turkey with MARS method and discussions on microfinance. In Microfinance and its impact on entrepreneurial development, sustainability, and inclusive growth (pp. 115-137). IGI Global.
• Mızrak, F., & Yüksel, S. (2019). Significant determiners of Greek debt crisis: a comparative analysis with Probit and MARS approaches. International Journal of Finance & Banking Studies (2147-4486), 8(3), 33-50.
• Oktar, S., & Yüksel, S. (2016). Bankaların türev ürün kullanımını etkileyen faktörler: MARS yöntemi ile bir inceleme. Finans Politik ve Ekonomik Yorumlar, (620), 31-46.
• Yüksel, S. (2016). Türkiye'de cari işlemler açığının belirleyicileri: Mars yöntemi ile bir inceleme. Bankacılar, 27(96), 102-121.
• Yüksel, S., & Adalı, Z. (2017). Determining influencing factors of unemployment in Turkey with MARS method. International Journal of Commerce and Finance, 3(2), 25-36.
• Yüksel, S., & Özsarı, M. (2017a). Türkiye’nin kredi notunu etkileyen faktörlerin Mars yöntemi ile belirlenmesi. Politik Ekonomik Kuram, 1(2), 16-31.
• Yüksel, S., & Özsari, M. (2017b). Türkiye Cumhuriyet MerkezBankası’nın Döviz Rezervlerine EtkiEden Makroekonomik FaktörlerinBelirlenmesi. Finans Politik ve Ekonomik Yorumlar, (631), 41-53.
• Yüksel, S., & Zengin, S. (2016). leading indicators of 2008 global crisis: an analysis with logit and mars methods. Finansal Araştırmalar ve Çalışmalar Dergisi, 8(15), 495-518.
• Yüksel, S., Canöz, İ., & Adalı, Z. (2017). Türkiye’deki Mevduat Bankalarının Fiyat-Kazanç Oranını Etkileyen Değişkenlerin Mars Yöntemi İle Belirlenmesi. Fiscaoeconomia,(3).
• Yüksel, S., Mukhtarov, S., Mahmudlu, C., Mikayilov, J. I., & Iskandarov, A. (2018). Measuring international migration in Azerbaijan. Sustainability, 10(1), 132.
• Yüksel, S., Zengin, S., & Kartal, M. T. (2016). Identifying the macroeconomic factors influencing credit card usage in Turkey by using MARS method. China-USA Business Review, 15(12), 611-615.
• Zengin, S., Yüksel, S., & Kartal, M. T. (2018). Understanding the Factors that affect Foreign direct investment in Turkey by Using mars method. Finansal Araştırmalar ve Çalışmalar Dergisi, 10(18), 177-192.
• Zhao, J., Jiang, Q., & Dong, K. (2021). Income inequality and natural gas consumption in China: Do heterogeneous and threshold effects exist?. Australian Economic Papers, 60(4), 630-650.
• Eti, S., Dinçer, H., Gökalp, Y., Yüksel, S., & Kararoğlu, D. (2023). Identifying Key Issues to Handle the Inflation Problem in the Healthcare Industry Caused by Energy Prices: An Evaluation With Decision-Making Models. Managing Inflation and Supply Chain Disruptions in the Global Economy, 162-178.
• Dinçer, H., Yüksel, S., Çağlayan, Ç., Yavuz, D., & Kararoğlu, D. (2023). Can Renewable Energy Investments Be a Solution to the Energy-Sourced High Inflation Problem?. In Managing Inflation and Supply Chain Disruptions in the Global Economy (pp. 220-238). IGI Global.
• Dinçer, H., Yüksel, S., Çağlayan, Ç., & Ubay, G. G. (2022). Developing Strategies to Improve Microfinance System in Turkey with Fuzzy Logic. In Microfinance to Combat Global Recession and Social Exclusion (pp. 81-95). Palgrave Macmillan, Singapore.
• Dinçer, H., Aksoy, T., Yüksel, S., & Hacioglu, U. (2022). Golden cut-oriented q-rung orthopair fuzzy decision-making approach to evaluation of renewable energy alternatives for microgeneration system investments. Mathematical Problems in Engineering, 2022.
• Sun, L., Peng, J., Dinçer, H., & Yüksel, S. (2022). Coalition-oriented strategic selection of renewable energy system alternatives using q-ROF DEMATEL with golden cut. Energy, 256, 124606.
• Li, W., Yüksel, S., & Dinçer, H. (2022). Understanding the financial innovation priorities for renewable energy investors via QFD-based picture fuzzy and rough numbers. Financial Innovation, 8(1), 1-30.
• Dinçer, H., Yüksel, S., Uluer, G. S., & Çağlayan, Ç. (2022). Green Nuclear Energy: A Solution of Environmental Sustainability for Emerging Economies. In Environmental Sustainability, Growth Trajectory and Gender: Contemporary Issues of Developing Economies (pp. 63-73). Emerald Publishing Limited.
• Dinçer, H., Yüksel, S., Aksoy, T., & Hacıoğlu, Ü. (2022). Application of M-SWARA and TOPSIS methods in the evaluation of investment alternatives of microgeneration energy technologies. Sustainability, 14(10), 6271.
• Dınçer, H., Yüksel, S., Mikhaylov, A., Barykin, S. E., Aksoy, T., & Hacioğlu, Ü. (2022). Analysis of environmental priorities for green project investments using an integrated q-rung orthopair fuzzy modeling. IEEE Access, 10, 50996-51007.
• Wu, X., Dinçer, H., & Yüksel, S. (2022). Analysis of crowdfunding platforms for microgrid project investors via a q-rung orthopair fuzzy hybrid decision-making approach. Financial Innovation, 8(1), 1-22.
• Li, J., Yüksel, S., Dınçer, H., Mikhaylov, A., & Barykin, S. E. (2022). Bipolar q-ROF hybrid decision making model with golden cut for analyzing the levelized cost of renewable energy alternatives. IEEE Access, 10, 42507-42517.