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China and Russia Energy Strategy Development: Arctic LNG

Author

Listed:
  • Alina Steblyanskaya

    (School of Economics and Management, Harbin Engineering University, Harbin, China)

  • Xu Qingchao

    (University of Chinese Academy of Sciences, National Institute of Innovation and Development Strategy, Chinese Academy of Sciences, Beijing, China,)

  • Svetlana Razmanova

    (Faculty of Economics and Management, Ukhta State Technical University, Ukhta, Russia,)

  • Nikolay Steblyanskiy

    (Institute of Economics and Finance, Russian University of Transport (MIIT), Russia,)

  • Artem Denisov

    (Computer Science Department, Kostroma State University, Kostroma, Russia.)

Abstract

Nowadays, the LNG market is a derivative of the traditional gas market and has certain advantages over pipeline gas supplies. Many countries, including the Russian Federation, are trying to consolidate their positions in the relatively new and growing LNG market. In the paper, Sino-Russia Energy strategy perspectives until 2030 are being analyzed in detail. The authors analyze the Arctic LNG case as the most crucial for both countries collaboration. The Arctic is considered as the new strategic frontier of China. China is a critical Arctic stakeholder as it is written in the newly released white paper China s Arctic Policy. The authors use Python 3.4. modeling for testing the influence of economic, social and environmental factors on Sino-Russia energy collaboration. The methodology consists of foresight analysis, including principal component isolation (further- PCA) method and SARIMA analysis. Research results show that the values of the components in Russia and China industries are drastically different. However, some components would be significantly developed due to Russia s existing trends by 2030. Indeed, it can be concluded that the dissimilarity between Russia and China oil and gas industries would increase by 2030, as indicated by the first, second and fourth components. China s oil and gas industry has a stable trend for development.

Suggested Citation

  • Alina Steblyanskaya & Xu Qingchao & Svetlana Razmanova & Nikolay Steblyanskiy & Artem Denisov, 2021. "China and Russia Energy Strategy Development: Arctic LNG," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 450-460.
  • Handle: RePEc:eco:journ2:2021-04-52
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    References listed on IDEAS

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    1. Daniel Huppmann & Ruud Egging & Franziska Holz & Christian Von Hirschhausen & Sophia Ruster, 2011. "The world gas market in 2030 – development scenarios using the World Gas Model," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 35(1), pages 64-84.
    2. Xu Tang & Benjamin C. McLellan & Simon Snowden & Baosheng Zhang & Mikael Höök, 2015. "Dilemmas for China: Energy, Economy and Environment," Sustainability, MDPI, vol. 7(5), pages 1-13, May.
    3. Feng, Jingxuan & Feng, Lianyong & Wang, Jianliang & King, Carey W., 2018. "Modeling the point of use EROI and its implications for economic growth in China," Energy, Elsevier, vol. 144(C), pages 232-242.
    4. Wang, Ke & Feng, Lianyong & Wang, Jianliang & Xiong, Yi & Tverberg, Gail E., 2016. "An oil production forecast for China considering economic limits," Energy, Elsevier, vol. 113(C), pages 586-596.
    5. Ma, Linwei & Liu, Pei & Fu, Feng & Li, Zheng & Ni, Weidou, 2011. "Integrated energy strategy for the sustainable development of China," Energy, Elsevier, vol. 36(2), pages 1143-1154.
    6. Tatyana Meshkova & Evgeny Moiseichev, 2016. "Foresight Applications to the Analysis of Global Value Chains," Foresight-Russia Форсайт, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 10(1 (eng)), pages 69-82.
    7. Sangsung Park & Seung-Joo Lee & Sunghae Jun, 2015. "A Network Analysis Model for Selecting Sustainable Technology," Sustainability, MDPI, vol. 7(10), pages 1-16, September.
    8. Jun Yan & Lianyong Feng & Artem Denisov & Alina Steblyanskaya & Jan-Pieter Oosterom, 2020. "Complexity theory for the modern Chinese economy from an information entropy perspective: Modeling of economic efficiency and growth potential," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-24, January.
    9. Bridge, Gavin & Bouzarovski, Stefan & Bradshaw, Michael & Eyre, Nick, 2013. "Geographies of energy transition: Space, place and the low-carbon economy," Energy Policy, Elsevier, vol. 53(C), pages 331-340.
    10. Tatyana Meshkova & Evgeny Moiseichev, 2016. "Foresight Applications to the Analysis of Global Value Chains," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 10(1), pages 69-82.
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    More about this item

    Keywords

    Sino-Russia Energy Cooperation; Energy Strategy 2030; Innovation Strategy; Arctic LNG; Principal Component Isolation analysis;
    All these keywords.

    JEL classification:

    • F42 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Policy Coordination and Transmission
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation

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