In-Tech Program Impact Evaluation 2016
Poland, 2016
David McKenzie
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May 26, 2017
Last modified
May 26, 2017
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Identification
Survey ID Number
POL_2016_ITPIE_v01_M
Title
In-Tech Program Impact Evaluation 2016
Country
| Name | Country code |
|---|---|
| Poland | POL |
Study type
Enterprise Survey [en/oth]
Abstract
Efforts to foster collaboration between science and industry have long been a part of innovation policy efforts in many countries. This impact evaluation studies the effect of the In-Tech program in Poland on science - industry collaboration, research and innovation, and product commercialization.
The In-Tech program, one of the two tracks of Innotech program, run by Poland's National Center for Research and Development (NCBiR), provides grants to consortia of research entities and firms for proposed research projects.
Applications receive a score based on peer reviewer ratings and those with a score above a threshold are offered funding. Based on this funding rule, a research team from the World Bank used a regression discontinuity (RD) design to estimate the effects of receiving In-Tech funding for applicants to the 2012 and 2013 calls for proposals.
The team used data from In-Tech application forms to show that applicants above and below the cutoff have similar characteristics, suggesting that the RD approach is valid.
The follow-up information on projects and consortia outcomes comes from a 2016 survey of 400 applicants both above and below the funding cutoff that was specifically designed to measure the impact of In-Tech.
The In-Tech program, one of the two tracks of Innotech program, run by Poland's National Center for Research and Development (NCBiR), provides grants to consortia of research entities and firms for proposed research projects.
Applications receive a score based on peer reviewer ratings and those with a score above a threshold are offered funding. Based on this funding rule, a research team from the World Bank used a regression discontinuity (RD) design to estimate the effects of receiving In-Tech funding for applicants to the 2012 and 2013 calls for proposals.
The team used data from In-Tech application forms to show that applicants above and below the cutoff have similar characteristics, suggesting that the RD approach is valid.
The follow-up information on projects and consortia outcomes comes from a 2016 survey of 400 applicants both above and below the funding cutoff that was specifically designed to measure the impact of In-Tech.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Consortia of firm and research entity
Version
Version Description
v01, edited, anonymous datasets for public distribution
To replicate results published in "Can grants to consortia spur innovation and science-industry collaboration? Regression-discontinuity evidence from Poland" by Miriam Bruhn and David McKenzie, World Bank Economic Review, users can download a Stata do-file available in Related Materials.
In the external World Bank Microdata Library (microdata.worldbank.org), the datasets are distributed in Stata 14 and Stata 11 formats (along with other formats). In Stata 11 version, the names of the data files have …v11 added to the original, Stata 14, file names. Stata 14 and Stata 11 datasets are the same except in Stata 11, some string variables were recast to make them shorter.
To replicate results published in "Can grants to consortia spur innovation and science-industry collaboration? Regression-discontinuity evidence from Poland" by Miriam Bruhn and David McKenzie, World Bank Economic Review, users can download a Stata do-file available in Related Materials.
In the external World Bank Microdata Library (microdata.worldbank.org), the datasets are distributed in Stata 14 and Stata 11 formats (along with other formats). In Stata 11 version, the names of the data files have …v11 added to the original, Stata 14, file names. Stata 14 and Stata 11 datasets are the same except in Stata 11, some string variables were recast to make them shorter.
Scope
Notes
The scope of the study includes:
- information on consortia and collaboration
- research and innovation achieved
- commercialization
- information on consortia and collaboration
- research and innovation achieved
- commercialization
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| David McKenzie | World Bank |
Producers
| Name | Affiliation |
|---|---|
| Miriam Bruhn | World Bank |
Funding Agency/Sponsor
| Name |
|---|
| National Center for Research and Development (NCBiR) |
Sampling
Sampling Procedure
The sample consisted of applicants to the In-Tech program. The sample frame for the survey was all projects with scores within the selected bandwidth of 8 points on either side of the funding cutoff. For each project, an attempt was made to interview the leader of the consortia, and the main partner. When there were two or more partners in the consortia, the main partner was defined as the one who received the highest budget share among all partners to the project. The research team therefore received up to two responses per project. The team aggregated these responses up to the project level for analysis.
Response Rate
Overall, responses were received for 87.1 percent of projects, including 93.7 percent of funded projects and 83.7 percent of non-funded projects.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2016-06 | 2016-09 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Data Collection Notes
The survey was administered by an independent survey firm, GfK, and respondents were told that the results would be kept strictly confidential and were to be used for research purposes only.
Data Collectors
| Name |
|---|
| GfK |
Questionnaires
Questionnaires
In collaboration with Poland's National Center for Research and Development (NCBiR) staff, World Bank researchers designed a follow-up survey questionnaire of In-Tech applicants. The questionnaire asked specifically about the project that was the focus of their In-Tech application, whether this project had been started, whether it had been completed, and what the outputs were. It also asked about forms of collaboration, research and development, and commercialization activities for other projects.
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| David McKenzie | World Bank | dmckenzie@worldbank.org |
| Miriam Bruhn | World Bank | mbruhn@worldbank.org |
Confidentiality
Identifying information has been removed
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example,
David McKenzie, The World Bank. Poland In-Tech Program Impact Evaluation (ITPIE) 2016. Ref. POL_2016_ITPIE_v01_M. Dataset downloaded from [URL] on [date].
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example,
David McKenzie, The World Bank. Poland In-Tech Program Impact Evaluation (ITPIE) 2016. Ref. POL_2016_ITPIE_v01_M. Dataset downloaded from [URL] on [date].
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Metadata production
DDI Document ID
DDI_POL_2016_ITPIE_v01_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Data Group | DECDG | World Bank | Study documentation |
Date of Metadata Production
2017-05-24
DDI Document version
v01 (May 2017)