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  1. The energy efficiency gap and barriers to investments
    Autor*in: Bremer, Leon; Nijs, Sacha J. den; Groot, Henri L. F. de
    Erschienen: [2023]
    Verlag:  Tinbergen Institute, Amsterdam, The Netherlands

    This study investigates the energy efficiency (EE) gap, referring to private agents who are not making seemingly profitable investments to reduce energy use. We deploy a questionnaire among firms in the Netherlands in which we ask them about... mehr

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    Verlag (kostenfrei)
    Verlag (kostenfrei)
    Resolving-System (kostenfrei)

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 432
    Fernleihe:
    keine Fernleihe

     

    This study investigates the energy efficiency (EE) gap, referring to private agents who are not making seemingly profitable investments to reduce energy use. We deploy a questionnaire among firms in the Netherlands in which we ask them about investment behavior and barriers to investing in EE. A set of 16 barriers is constructed based on the literature. We find that most firms (70%) have made EE investments in the past five years, and that the median firm has saved 10% of its energy use. The remaining profitable EE investment opportunities still leave room for another 15% of energy savings at the median firm. We find that uncertainty about future policies ranks as the leading barrier to EE investments, followed by lock-ins in current equipment, and energy price uncertainty. Especially energy-intensive firms indicate the importance of policy uncertainty. Past policies have not been successful in addressing these barriers. Additionally, we find that a firm's network can be an important channel for obtaining EE investment knowledge.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/273854
    Schriftenreihe: Array ; TI 2023, 043
    Schlagworte: energy efficiency gap; barriers; investment behavior; technology adoption; policy uncertainty
    Umfang: 1 Online-Ressource (circa 48 Seiten), Illustrationen
  2. Competitiveness and investments under emissions trading
    Autor*in: Bremer, Leon; Sommer, Konstantin
    Erschienen: [2022]
    Verlag:  Tinbergen Institute, Amsterdam, The Netherlands

    We study the effects of the EU Emissions Trading System (ETS) on employment and profits as well as on the investment decisions of Dutch manufacturing firms. Motivated both by sizable differences between firms that are regulated in different phases... mehr

    Zugang:
    Verlag (kostenfrei)
    Verlag (kostenfrei)
    Resolving-System (kostenfrei)

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 432
    Fernleihe:
    keine Fernleihe

     

    We study the effects of the EU Emissions Trading System (ETS) on employment and profits as well as on the investment decisions of Dutch manufacturing firms. Motivated both by sizable differences between firms that are regulated in different phases and by the gradual increase in regulatory stringency, we pay close attention to treatment effect heterogeneity between firms and over time. We use microdata from Statistics Netherlands to apply two difference-in-differences (DiD) estimators: (1) a matched twoway fixed effects regression and (2) a recently developed, more flexible DiD method, designed for staggered treatment and treatment effect heterogeneity. We find that firms that were first regulated in phase 1 and 2 experience temporary employment losses of between 7 to 9% early in the regulation, but we do not find conclusive evidence for changes in profits. Firms that were regulated the earliest reduced their investments throughout all phases.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/265837
    Schriftenreihe: Array ; TI 2022, 061
    Schlagworte: Emissions trading; Environmental regulation; Staggered Differencein-Differences; Treatment heterogeneity; Manufacturing
    Umfang: 1 Online-Ressource (circa 94 Seiten), Illustrationen
  3. Fuzzy firm name matching
    merging Amadeus firm data to PATSTAT
    Autor*in: Bremer, Leon
    Erschienen: [2023]
    Verlag:  Tinbergen Institute, Amsterdam, The Netherlands

    When merging firms across large databases in the absence of common identifiers, text algorithms can help. I propose a high-performance fuzzy firm name matching algorithm that uses existing computational methods and works even under hardware... mehr

    Zugang:
    Verlag (kostenfrei)
    Verlag (kostenfrei)
    Resolving-System (kostenfrei)

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 432
    Fernleihe:
    keine Fernleihe

     

    When merging firms across large databases in the absence of common identifiers, text algorithms can help. I propose a high-performance fuzzy firm name matching algorithm that uses existing computational methods and works even under hardware restrictions. The algorithm consists of four steps, namely (1) cleaning, (2) similarity scoring, (3) a decision rule based on supervised machine learning, and (4) group identification using community detection. The algorithm is applied to merging firms in the Amadeus Financials and Subsidiaries databases, containing firm-level business and ownership information, to applicants in PATSTAT, a worldwide patent database. For the application the algorithm vastly outperforms an exact string match by increasing the number of matched firms in the Amadeus Financials (Subsidiaries) database with 116% (160%). 53% (74%) of this improvement is due to cleaning, and another 41% (50%) improvement is due to similarity matching. 18.1% of all patent applications since 1950 are matched to firms in the Amadeus databases, compared to 2.6% for an exact name match.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/282868
    Schriftenreihe: Array ; TI 2023, 055
    Schlagworte: Fuzzy name matching; supervised machine learning; name disambiguation; patents
    Umfang: 1 Online-Ressource (circa 45 Seiten), Illustrationen