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Hierarchical structure of the countries based on electricity consumption and economic growth. (2016). Aslan, Alper ; Kantar, Ersin ; Keskin, Mustafa ; Deviren, Bayram .
In: Physica A: Statistical Mechanics and its Applications.
RePEc:eee:phsmap:v:454:y:2016:i:c:p:1-10.

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  1. Hedge Effectiveness of the Credit Default Swap Indices: a Spectral Decomposition and Network Topology Analysis. (2022). Sinka, Peter ; Zeitsch, Peter J.
    In: Computational Economics.
    RePEc:kap:compec:v:60:y:2022:i:4:d:10.1007_s10614-021-10185-8.

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  2. Exploring the Causal Relationship among Green Taxes, Energy Intensity, and Energy Consumption in Nordic Countries: Dumitrescu and Hurlin Causality Approach. (2022). Hamid, Zeeshan ; Sheikh, Adnan Ahmed ; Ahmed, Nihal ; Glabiszewski, Waldemar ; Wysokiska-Senkus, Aneta ; Borda, Ricardo Cosio.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:14:p:5199-:d:865313.

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  3. A jump model for credit default swaps with hierarchical clustering. (2019). Zeitsch, Peter J.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:524:y:2019:i:c:p:737-775.

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  4. On electricity consumption and economic growth in China. (2017). Zhang, Chi ; Shao, Zhen ; Yang, Shanlin ; Zhou, Kaile.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:76:y:2017:i:c:p:353-368.

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  5. Hierarchy in industrial structure: The cases of China and the USA. (2017). Hu, Fei ; Chang, Yiming ; Bing, Tao ; Zhao, Shangmei.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:469:y:2017:i:c:p:871-882.

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