Public repository of MATLAB code related to research on the input-output product space (IO-PS) [Described in Bam, W., & De Bruyne, K. (2019). Improving Industrial Policy Intervention: The Case of Steel in South Africa. The Journal of Development Studies, 55(11), 2460–2475. https://doi.org/10.1080/00220388.2018.1528354]
The repository currently contains the MATLAB code used in the original IO-PS paper mentioned above, as well as various extensions. For now, this includes:
- Basic MATLAB functions to calculate product space-related metrics
- The full IO-PS as presented in the above paper, but with a version added to use average metrics in the product space instead of average metrics in the value chain
- A version of the IO-PS that can be used for panel data analysis (as used in https://link.springer.com/article/10.1057/s42214-020-00081-7)
- Code for drawing tradeoff figure (as used in https://link.springer.com/article/10.1057/s42214-020-00081-7)
The research group is continually working on extending our research and making available new developments. Additions that are close to completion and that will be added soon include:
- IO-PS implemented in Python
- IO-PS implemented in R
- Extended IO-PS with sustainability metrics
- Bam, W., & De Bruyne, K. (2017). Location policy and downstream mineral processing: A research agenda. Extractive Industries and Society, 4(3), 443–447. https://doi.org/10.1016/j.exis.2017.06.009
- Marais, M., & Bam, W. (2019). Developmental potential of the aerospace industry: the case of South Africa. In 2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) (pp. 1–9). IEEE. https://doi.org/10.1109/ICE.2019.8792812