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News
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.
October 5, 2026
Africa, Youth, and Civic Dialogue: Public Diplomacy Discussed at HSE University
In late September, HSE University hosted a roundtable discussion titled Civil Society in African Countries and Youth Participation in Public Diplomacy. Representatives of non-governmental organisations from Ghana, Ethiopia, and Russia, along with students from HSE University’s Bachelor’s Programme in Public Administration, discussed how young people without official diplomatic status can influence relations between countries and how the nonprofit sector can remain sustainable amid declining grant funding.

 

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Эффективность государственных инвестиций в публичный капитал: от модели к оценке

Полис. Политические исследования. 2014. № 6. С. 9–31.
Akhremenko A. S.

The study has two major focuses. The first one is of a methodological kind: we investigate the capabilities of a formal dynamic model to link theory and empirical estimation techniques. The other one is much more specified: we deal with the problems of public good provision and public capital accumulation and depreciation. Tying it all together, we demonstrate how formal theory can adjust the evaluation of public investment efficiency.

The first part of the paper presents the dynamic formal model construction. The core of it is Cobb-Douglas production function with public and private capital as input factors. Public capital stock is increased by budget investment inflow. A set of parameters which regulate system’s efficiency enters the model. They are total factor productivity, public investment effectiveness and the efficiency of public assets’ maintenance and utilization. We also define a special policy space of the model.

In the major part of the paper we examine the data, generated by various models with different efficiency parameter values, via Data envelopment analysis (DEA). We demonstrate that the best estimates are obtained when we use cumulative inputs (the sum of budgets investments over a few time periods). Thus we show that dynamic formal model analysis can make a practical contribution to estimation techniques’ “fine tuning”.

Research target: Mathematics Political Science, International Relations, and Public Administration Economics and Management
Priority areas: economics state and public administration humanitarian
Language: Russian
Full text
Keywords: эффективность государствабюджетные инвестицииstate efficiencyдинамическая модельоболочечный анализ данныхpublic investmentполитическое пространствоdynamical modelresource redistributionpublic capitalpolicy spaceData envelopment analysis (DEA)
Publication based on the results of:
Динамика эффективности государственного сектора: математическая модель и методика эмпирической оценки (2014)
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