Research article

Incentivised investment projects in the Czech Republic in the perspective of the integrated CV-TOPSIS framework since 2000: Has anything changed?

  • Published: 21 September 2026
  • JEL Codes: F21, H25, C58, F23, R11

  • Evaluating the efficiency of incentivized investment projects requires a multidimensional framework that jointly considers investor outcomes, public support, and regional productivity. Our aim of this study was to evaluate the effectiveness of individual investment projects that have received investment incentives in the Czech Republic since 2000 using the CV-TOPSIS technique. In the context of the four criteria monitored (investment size, maximum level of public support, value added per employee, and effectiveness of the granted investment incentives), the research set consisted of all investment incentives with available data: 1,222 investment incentives. These investments were evaluated from the perspective of the level of involvement of companies (investments) in global value chains (GVC), sector, region and ownership. We developed an efficiency index combining investor's activity, public finance, and regional productivity dimensions. Our results confirmed that the effectiveness of investment incentives granted to business projects is conditioned by a complex combination of factors. The highest-ranked projects are concentrated in biotechnology and medical technology, electronics and electrical engineering, and transport equipment manufacturing. Investments in the Ústí nad Labem Region also achieved strong overall scores. In addition, projects implemented by firms occupying leading positions in production networks tended to perform better across evaluated dimensions. The findings suggest that the effectiveness of investment incentives depends on a complex interaction between industrial structure, regional conditions, and GVC integration. The study contributes to quantitative economic policy evaluation by providing a large-scale multicriteria assessment of incentivized investment projects supported projects in a post-transition economy.

    Citation: Sylvie Kotíková, Roman Vavrek. Incentivised investment projects in the Czech Republic in the perspective of the integrated CV-TOPSIS framework since 2000: Has anything changed?[J]. National Accounting Review, 2026, 8(3): 460-487. doi: 10.3934/NAR.2026019

    Related Papers:

  • Evaluating the efficiency of incentivized investment projects requires a multidimensional framework that jointly considers investor outcomes, public support, and regional productivity. Our aim of this study was to evaluate the effectiveness of individual investment projects that have received investment incentives in the Czech Republic since 2000 using the CV-TOPSIS technique. In the context of the four criteria monitored (investment size, maximum level of public support, value added per employee, and effectiveness of the granted investment incentives), the research set consisted of all investment incentives with available data: 1,222 investment incentives. These investments were evaluated from the perspective of the level of involvement of companies (investments) in global value chains (GVC), sector, region and ownership. We developed an efficiency index combining investor's activity, public finance, and regional productivity dimensions. Our results confirmed that the effectiveness of investment incentives granted to business projects is conditioned by a complex combination of factors. The highest-ranked projects are concentrated in biotechnology and medical technology, electronics and electrical engineering, and transport equipment manufacturing. Investments in the Ústí nad Labem Region also achieved strong overall scores. In addition, projects implemented by firms occupying leading positions in production networks tended to perform better across evaluated dimensions. The findings suggest that the effectiveness of investment incentives depends on a complex interaction between industrial structure, regional conditions, and GVC integration. The study contributes to quantitative economic policy evaluation by providing a large-scale multicriteria assessment of incentivized investment projects supported projects in a post-transition economy.



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