Wykaz publikacji wybranego autora

Łukasz Lach, dr hab., prof. AGH

profesor nadzwyczajny

Wydział Zarządzania
WZ-spzme, Samodzielna Pracownia Zastosowań Matematyki w Ekonomii

  • 2018

    [dyscyplina 1] dziedzina nauk społecznych / ekonomia i finanse

[poprzednia klasyfikacja] obszar nauk społecznych / dziedzina nauk ekonomicznych / ekonomia

Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0001-8599-1162 orcid iD

ResearcherID: B-6513-2018

Scopus: 57195339750

PBN: 5e70923a878c28a047392067

OPI Nauka Polska

System Informacyjny AGH (SkOs)

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  • Causality analysis between public expenditure and economic growth of Polish economy in last decade
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  • Comparative advantage of the EU in global value chains: how important and efficient are new EU members in transition?
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  • Do public news announcements matter?
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  • Export diversification and economic growth in transition: lessons from the 2008 financial crisis in CEE
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  • Financial development and economic growth in Poland in transition: causality analysis
8
  • Fixed capital and long run economic growth: evidence from Poland
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  • Forecasting the economic impact of a vacuum tube high-speed transport system in Poland: an input-output approach
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  • Impact of hard coal usage for metal production on economic growth of Poland
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  • Impact of US macroeconomic news announcements on intraday causalities on selected European stock markets
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  • Key sectors after a decade of transition: evidence from Poland
15
  • Key sectors in the post-communist CEE economies: What does the transition data say?
16
  • Key sectors of Polish economy in dynamic endogenous input-output framework
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  • Linear and nonlinear intraday causalities in response to U.S. macroeconomic news announcements: evidence from Central Europe
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  • Linkages-based indicators of production-source sectoral eco-efficiency with application to Polish data
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  • On measuring eco-efficiency in extended IO models: the case of intersectoral linkages in Polish economy in transition
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  • On the plausibility of using linear programming to trace important input-output coefficients in the framework of tolerable limits
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