Arbeitspapier

Geographical clustering and the effectiveness of public innovation programs

The paper analyzes how geographical clustering of beneficiaries might affect the effectiveness of public innovation support programs. The geographical proximity of firms operating in the same industry or field of technology is expected to facilitate innovation through knowledge spillovers and other localization advantages. Public innovation support programs may leverage these advantages by focusing on firms that operate in a cluster. We investigate this link using data from a large German program that co-funds R&D projects of SMEs in key technology areas called 'Innovative SMEs'. We employ three alternative cluster measures which capture industry, technology and knowledge dimensions of clusters. Regardless of the measure, firms located in a geographical cluster are more likely to participate in the program. Firms being part of a knowledge-based cluster significantly increases their chance of receiving public financial support. We find no effects, however, of geographical clustering on the program's effectiveness in terms of input or output additionality.

Language
Englisch

Bibliographic citation
Series: ZEW Discussion Papers ; No. 16-083

Classification
Wirtschaft
Multiple or Simultaneous Equation Models: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
National Government Expenditures and Related Policies: General
Innovation and Invention: Processes and Incentives
Management of Technological Innovation and R&D
Technological Change: Government Policy
Regional Government Analysis: Other
Subject
Innovation
Government Policy
Regional Government Analysis

Event
Geistige Schöpfung
(who)
Crass, Dirk
Rammer, Christian
Aschhoff, Birgit
Event
Veröffentlichung
(who)
Zentrum für Europäische Wirtschaftsforschung (ZEW)
(where)
Mannheim
(when)
2016

Handle
URN
urn:nbn:de:bsz:180-madoc-417642
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Crass, Dirk
  • Rammer, Christian
  • Aschhoff, Birgit
  • Zentrum für Europäische Wirtschaftsforschung (ZEW)

Time of origin

  • 2016

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