In-Tech Program Impact Evaluation 2016

Poland, 2016

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Reference ID

POL_2016_ITPIE_v01_M

DOI

https://doi.org/10.48529/y7k9-7309

Producer(s)

David McKenzie

Collection(s)

Impact Evaluation Surveys

Metadata

Documentation in PDF DDI/XML JSON

Created on

May 26, 2017

Last modified

May 26, 2017

Page views

47727

Downloads

3247

Identification

Survey ID number

POL_2016_ITPIE_v01_M

Title

In-Tech Program Impact Evaluation 2016

Country/Economy

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.

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.

Scope

Notes

The scope of the study includes:

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.

Survey instrument

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.

Data collection

Dates of Data Collection

Start	End
2016-06	2016-09

Data Collectors

Name
GfK

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.

Access policy

Confidentiality

Is signing of a confidentiality declaration required?	Confidentiality declaration text
yes	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].

Depositor information

Depositor

Name	Affiliation
David McKenzie	World Bank

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.

Contacts

Name	Affiliation	Email
David McKenzie	World Bank	dmckenzie@worldbank.org
Miriam Bruhn	World Bank	mbruhn@worldbank.org

Metadata production

DDI Document ID

DDI_POL_2016_ITPIE_v01_M_WB

Producers

Name	Affiliation	Role
Development Data Group	World Bank	Study documentation

Date of Metadata Production

2017-05-24

Metadata version

DDI Document version

v01 (May 2017)

Citation

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