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Data, Distribution, and Modeling Innovations in Spatiotemporal Energy Economics

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  • Halkos, George

Abstract

The objective of the present review is to synthesize recent state-of-the-art advances in the field of energy economics. The present review aims to elucidate the interconnections among various applicable and practical methodologies that may facilitate a sustainable energy transition and therefore the novelty lies in the cross-cutting, methodological integration and forward-looking perspective that informs both academic research and practical policy development in the context of sustainable energy transitions. The contribution of this review is fourfold. First, it systematically compiles the core empirical advancements within different sectors of the energy domain, providing a structured assessment of contemporary research efforts. Second, it critically examines the challenges associated with data availability and reviews methodological innovations designed to address these limitations. Third, it consolidates developments in spatiotemporal econometric techniques, highlighting their significance in capturing dynamic spatial and temporal dimensions of energy systems. Fourth, it presents emerging machine learning-based approaches for forecasting, underscoring their potential to enhance predictive capabilities and inform policy and investment decisions. By integrating insights across these domains, the review offers a comprehensive framework for understanding the methodological evolution in energy economics and identifies pathways for future research that support the global pursuit of a sustainable energy future.

Suggested Citation

  • Halkos, George, 2025. "Data, Distribution, and Modeling Innovations in Spatiotemporal Energy Economics," MPRA Paper 124992, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:124992
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    References listed on IDEAS

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    1. Anissa Nurdiawati & Frauke Urban, 2021. "Towards Deep Decarbonisation of Energy-Intensive Industries: A Review of Current Status, Technologies and Policies," Energies, MDPI, vol. 14(9), pages 1-33, April.
    2. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    3. Fedor Iskhakov & John Rust & Bertel Schjerning, 2020. "Machine learning and structural econometrics: contrasts and synergies," The Econometrics Journal, Royal Economic Society, vol. 23(3), pages 81-124.
    4. George E. Halkos & Panagiotis-Stavros C. Aslanidis, 2023. "Addressing Multidimensional Energy Poverty Implications on Achieving Sustainable Development," Energies, MDPI, vol. 16(9), pages 1-30, April.
    5. Cheng, Jinhua & Dai, Sheng & Ye, Xinyue, 2016. "Spatiotemporal heterogeneity of industrial pollution in China," China Economic Review, Elsevier, vol. 40(C), pages 179-191.
    6. George E. Halkos & Apostolos S. Tsirivis, 2023. "Electricity Prices in the European Union Region: The Role of Renewable Energy Sources, Key Economic Factors and Market Liberalization," Energies, MDPI, vol. 16(6), pages 1-20, March.
    7. Longwu Liang & Zhenbo Wang, 2021. "Control Models and Spatiotemporal Characteristics of Air Pollution in the Rapidly Developing Urban Agglomerations," IJERPH, MDPI, vol. 18(11), pages 1-16, June.
    8. George E. Halkos & Dimitra C. Kitsou, 2018. "Weighted location differential tax in environmental problems," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(1), pages 1-15, January.
    9. Wang, Na & Fu, Xiaodong & Wang, Shaobin, 2022. "Spatial-temporal variation and coupling analysis of residential energy consumption and economic growth in China," Applied Energy, Elsevier, vol. 309(C).
    10. Jie Zhang & Ke Zhang & Feng Zhao, 2020. "Spatial effects of economic growth, energy consumption and environmental pollution in the provinces of China—An empirical study of a spatial econometrics model," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 868-879, July.
    11. Qingyu Fan & Shan Yang & Shuaibin Liu, 2019. "Asymmetrically Spatial Effects of Urban Scale and Agglomeration on Haze Pollution in China," IJERPH, MDPI, vol. 16(24), pages 1-18, December.
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    JEL classification:

    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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