Fraunhofer-Institut für System- und Innovationsforschung ISI

Filters

16
Reset filters

Settings
Now showing 1 - 10 of 16
  • Publication
    STRATEGY CCUS. Stakeholder engagement findings: Roadmap and final recommendations
    (European Union, 2022)
    Preuß, Sabine orcid-logo
    ;
    Dütschke, Elisabeth orcid-logo
    ;
    Oltra, Christian
    ;
    Goncalez, Lila
    ;
    Prades, Ana
    ;
    German, Silvia
    This deliverable aims to provide an overview of the most important findings on stakeholder consultation as well as to provide recommendations of participatory formats for stakeholder engagement in regional CCUS projects. Thus, we (a) present the processes and results from the regional stakeholder committee (RSC) workshops as part of the stakeholder engagement activities in STRATEGY CCUS and (b) outline recommendations for stakeholder participation beyond the lifetime of the project based on a synthesis of all stakeholder engagement results in STRATEGY CCUS regarding social acceptance. The focus of this deliverable is on social acceptance but in the RSC workshops, we focus mainly on stakeholders instead as on the public. Key stakeholder act as informants within the region of interest and thus, can play a special role in social acceptance processes.
  • Publication
    Final report on the CDM model including updated literature, estimations from the econometric model, and a discussion of the policy implications
    ( 2022)
    Schubert, Torben orcid-logo
    ;
    Türkeli, Serdar
    ;
    Ashouri, Sajad
    ;
    Bäck, Asta
    ;
    Deschryvere, Matthias
    ;
    Jäger, Angela
    ;
    Visentin, Fabiana
    ;
    Hajikhani, Arash
    ;
    Suominen, Arho
    This final report for Work Package 2 (Deliverable D4) implements the econometric estimations concerning the relationship between the specifics of the innovation process and company productivity as outlined in the interim report (D3). This final report consists of two main parts. In the first, we present the overall project work related to the development of a multistage R&D-innovation-productivity (CDM) model inspired by Crépon et al. (1998). We start with an updated review of the literature relating to the secular stagnation hypothesis, that is, the claim that the depletion of technological opportunities has heralded a phase of low or no productivity growth. Where more recent works have become available, this literature review has been updated. In order to align the literature review with the empirical evidence, we also focus more on the role of digitalization, where web-scraping based data collection has provided very useful indicators in the area of intangibles. Beyond digitalization trends, cooperation, and open innovation, knowledge spillovers and servitization are increasingly important drivers of productivity. We then describe and implement the augmented Crépon-Duguet-Mairesse (CDM)-type model, supplementing the original specification with the influence factors of digitalization, cooperation, spillovers, and servitization. The CDM model is further amended from the original outline in D3 in order to achieve alignment with the existing data. This part also contains a description of the processes underlying data generation and management, including a discussion of data quality issues and missing data, and discusses the potential and limitations of scraping data from company websites for empirical innovation economics. Concluding the first part of this report, we discuss the policy implications resulting from our analysis. In the second part of this report, we present a more detailed analysis of the role of AI use on productivity using a panel on Finnish firms for the period 2013-2019. This exercise was not originally planned as part of the work package. However, the availability of a specialized data source enabling us to infer company use of AI based on data on job offerings provided the opportunity for complementary analysis. Because this data became available as panel data, it also allowed us to control for a number of econometric issues that the web-scraped data from part 1 was unable to resolve.
  • Publication
    Strategic H&C planning success factors
    ( 2022)
    Aydemir, Ali orcid-logo
    ;
    Fritz, Markus orcid-logo
    ;
    Billerbeck, Anna orcid-logo
    The planning of municipalities is of great importance, as it determines today how we can live sustainably in the future. Heating and cooling (H&C) is an important issue in this context, as it accounts for about half of the total energy demand in Europe, with about 70 % still dependent on fossil fuels (for 2015). Achieving climate neutrality in 2050, therefore, requires a rapid and significant change in the H&C sector. In this respect, strategic H&C planning has proven to be an effective tool to develop measures at the local level and to drive decarbonisation of the H&C sector faster and more efficiently. This report explores success factors for strategic H&C planning, which will guide the project's advisory services. Furthermore, the findings of this paper can help stakeholders identify and overcome obstacles in advance and so develop successful H&C plans. Policymakers can use the results to develop measures for cities that underpin successful strategic H&C planning.
  • Publication
    Productivity effects of process vs. product digitalization
    ( 2022)
    Schubert, Torben orcid-logo
    ;
    Ashouri, Sajad
    ;
    Deschryvere, Matthias
    ;
    Jäger, Angela
    ;
    Visentin, Fabiana
    ;
    Pukelis, Lukas
    ;
    Hajikhani, Arash
    ;
    Suominen, Arho
    Digitalization is considered an important driver of upcoming societal and economic transformations. However, holding both promises and challenges, its effects on the performance of individual firms are still underexplored. In this paper, we disentangle the phenomenon into two distinct factors: the digitalization of processes and the digitalization of product offering. We analyse the effects of the two digitalization factors on firm-level productivity. This analysis is based on a large European-wide unique dataset combining structured information from ORBIS and PATSTAT with web-scraped information on the firms involved in high-tech manufacturing. Building on a triangular structural equation model -- including a patenting equation and a productivity equation -- we find that digitalization boosts productivity both directly and indirectly. The direct effects occur through immediate effects on productivity, while the indirect effects occur through increased patenting. However, the positive effects occur largely for product digitalization, while process digitalization on average does not significantly contribute to productivity. Interestingly quantile regression estimates show that the effects of product and process digitalization show significantly contrasting patterns across the productivity distribution. While the effects of product digitalization are largest for highly productive firms, there are mildly positive effects of product digitalization for lowproductivity firms
  • Publication
    Analysis of transferability of global experience to the EU
    ( 2020)
    Mandel, Tim orcid-logo
    ;
    Pató, Zsuzsanna
    ;
    Broc, Jean-Sébastien
  • Publication
    Hotmaps. Heating & cooling outlook until 2050, EU-28
    (TU Wien, 2019)
    Kranzl, Lukas
    ;
    Hartner, Michael
    ;
    Müller, Andreas
    ;
    Resch, Gustav
    ;
    Fritz, Sara
    ;
    Fleiter, Tobias
    ;
    Herbst, Andrea
    ;
    Rehfeldt, Matthias orcid-logo
    ;
    Manz, Pia orcid-logo
    ;
    Zubaryeva, Alyona
    ;
    Gómez Vilchez, Jonatan
    Scenarios are required for heating and cooling planning and are an important means to ensure consistency of local, regional, national and EU wide planning. Thus, the Hotmaps project provides two scenarios for the heating and cooling sector for EU-28 up to 2030/2050. Moreover, sectors of the energy system affecting the heating and cooling sector (transport, electricity) are also covered. Energy planners may use these scenarios as starting point for their heat planning process on local, regional or national level. For this purpose, we build on models used and existing scenarios derived by the consortium in previous projects. The scenarios include heat demand and supply in the building sector, the industry sector and the electricity sector. Scenarios for transport have been derived from the DIONE fleet impact model. These scenarios have been developed on the country level, and partly distinguishing rural and urban areas. In this report, we developed a methodology to break down the relevant parts of scenario results from the country level to the local and regional level. The predefined scenarios, on which the user may build to develop his/her own, tailor made scenarios, will be stored in the data repository of the Hotmaps project. Since the consortium will also work on further scenarios during the project duration (and probably beyond), we intend to update this scenario repository frequently.