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Research Articles

Reducing inequality through technology diffusion: the case of 3D printing in public libraries

ORCID Icon, & ORCID Icon
Pages 553-572 | Received 02 Feb 2019, Accepted 06 Aug 2020, Published online: 02 Sep 2020

Figures & data

Table 1. List of the variables used in the data analysis.

Table 2. Descriptive information about the libraries in the analysis.

Table 3. List of the Codes and questions used in transcribing and coding of interviews with librarians.

Figure 1 This map shows the locations of US public libraries overlayed on a heat map showing median household income.

Figure 1 This map shows the locations of US public libraries overlayed on a heat map showing median household income.

Figure 2 This map shows the locations of US public libraries with 3D printers overlayed on a heat map showing registered 3D printing patents in the US.

Figure 2 This map shows the locations of US public libraries with 3D printers overlayed on a heat map showing registered 3D printing patents in the US.

Table 4. Results of the multivariate logistic regression.

Table 5. Correlation between variables used in the analysis.

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