Archive

Category: Research articles

  • Russian Doll of Sustainability: Factor Endowments, Democratic Political Equality and Income Inequality in the Post-Communist Central and Eastern European Countries

    The Russian doll of sustainability framework is applied to find income inequality determinants in transition countries. Land endowment effects on institutions and economic outcomes are analysed using the auto-regressive distributed lag approach on ten Central and Eastern European countries from 1995 to 2021. Findings suggest that land endowment has an income inequality-widening effect, and trade openness reduces inequalities, but various democracy measures have different effects on inequality, also, depending on the time horizon: while participatory democracy increases inequality, egalitarian democracy decreases it, but a more rural-biased public service provision is associated with higher inequality in the short run and decreased inequality in the long run. Lastly, we do not confirm a robust Kuznets curve over the development path, and we do not find financial development statistically significant in explaining income inequality.

    Authors: Anna Auza, José Alberto Fuinhas
    June 2023, The Singapore Economic Review
    DOI: 10.1142/S0217590823500376

    ResearchGate URL

    Anna Auza

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  • A Systematic Review of Uncertainty Handling Approaches for Electric Grids Considering Electrical Vehicles

    This paper systematically reviews the techniques and dynamics to study uncertainty modelling in the electric grids considering electric vehicles with vehicle-to-grid integration. Uncertainty types and the most frequent uncertainty modelling approaches for electric vehicles are outlined. The modelling approaches discussed in this paper are Monte Carlo, probabilistic scenarios, stochastic, point estimate method and robust optimisation. Then, Scopus is used to search for articles, and according to these categories, data from articles are extracted. The findings suggest that the prob-abilistic techniques are the most widely applied, with Monte Carlo and scenario analysis leading. In particular, 19% of the cases benefit from Monte Carlo, 15% from scenario analysis, and 10% each from robust optimisation and the stochastic approach, respectively. Early articles consider robust optimisation relatively more frequent, possibly due to the lack of historical data, while more recent articles adopt the Monte Carlo simulation approach. The uncertainty handling techniques depend on the uncertainty type and human resource availability in aggregate but are unrelated to the generation type. Finally, future directions are given.

    Authors: Anna Auza, Ehsan Asadi, Behrang Chenari and Manuel Gameiro da Silva
    June 2023, Energies, 16(13):4983

    ResearchGate URL
    DOI: 10.3390/en16134983

    Anna Auza

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