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News
June 15, 2026
Sociologists: Conservative Consumers Dominate Russian Middle Class
The Russian middle class cannot be regarded as a homogeneous and uniformly stable social group. Similar income levels often mask significant differences in financial strategies, lifestyles, and levels of economic security. This is the conclusion reached by sociologists at HSE University. The study has been published in Voprosy Ekonomiki.
June 15, 2026
'Over 12 Years, We Have Participated in Nearly 1,000 Awake Surgeries'
HSE University hosted the 13th Summer Neurolinguistics School, organised by the Centre for Language and Brain with support from the HSE Faculty of Humanities. The programme focused on collaboration among neurolinguists, neurosurgeons, and neurophysiologists in the operating room, standardisation of linguistic paradigms, and practical approaches to preserving patients’ language function.
June 11, 2026
Doctoral Student at HSE University Reveals Hidden Layout of Ancient Parion
İdil Malgil, a researcher at HSE University, conducted a UAV-based LiDAR survey of the ancient Roman city of Parion in present-day Turkey. The high density of the scans allowed the team to detect subtle terrain features concealed beneath the ground and vegetation. The survey revealed traces of entire neighbourhoods, terraced structures, and walls that had remained invisible during routine excavations and could not be identified through aerial photography. The findings have been published in Ancient Civilizations from Scythia to Siberia.

 

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Combination of Top-down and Bottom-up DEA models using PCA: A Two-Stage Network DEA with Shared Input and Undesirable Output for Evaluation of the Road Transport Sector

Socio-Economic Planning Sciences. 2023. Vol. 89. Article 101706.
Omrani H., Yang Z., Karbasian A., Teplova T.

This paper presents a network data envelopment analysis (NDEA) model to assess road transport sector by considering energy and non-energy inputs, shared input, and desirable and undesirable outputs. The sector is considered as a two-stage framework where in stage 1, energy-environmental efficiency is calculated and in stage 2, technical efficiency is estimated. There are two general approaches for evaluation of the network structures using NDEA models: bottom-up and top-down. In the bottom-up approach of this study, a goal programming NDEA (GP-NDEA) model is proposed to calculate the efficiency of the two stages at the same time and then overall efficiency is obtained using the results of the two stages. In the top-down approach, both non-radial SBM-NDEA and RAM-NDEA models are applied to calculate the overall efficiency and then the efficiencies of stage 1 and stage 2 are estimated using the results of the overall efficiency. Three different models GP-NDEA, SBM-NDEA, and RAM-NDEA lead to different results and to obtain the final efficiencies and ranks, principal component analysis (PCA) method is applied. The efficiency generated by different bottom-up and top-down approaches are considered as indicators in PCA, and the final scores for both stages are calculated using PCA. To illustrate the capability of the proposed approach, an actual dataset of road transport sector in provinces of Iran is gathered and the results of the different models are analyzed.

Research target: Economics and Management
Language: English
Full text
DOI
Keywords: транспортэффективностьefficiencyметод главных компонентRoad transportSBM-NDEARAM-NDEAGoal programming NDEAPCASBM-NDEARAM-NDEAЦелевое программирование NDEA
Publication based on the results of:
Analysis of the behavior of financial assets under the influence of exogenous factors (2023)
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