This study introduces a novel method to quantitatively assess the willingness to pay (WTP) for emerging technologies, such as hydrogen, as substitutes for fossil fuels in industrial production. A three-step framework is developed to derive the WTP function based on industrial competition and market entry theory, relying exclusively on pre-entry market information. First, a system of equations is specified linking domestic consumption, production, and prices to fossil input prices, which proxy marginal production costs. Second, market equilibrium parameters required for numerical WTP estimation are empirically estimated using industry-level data. Third, an industrial competition model incorporating entry by producers adopting new technology is constructed, allowing WTP to be expressed as a function of conventional input costs, operational efficiency, and demand conditions. The framework is applied to hydrogen use in ammonia production, using consumption and trade data from 2000–2024 for sixteen major fertilizer-producing countries across four regions. Results highlight substantial cross-country heterogeneity, a binding hydrogen price threshold for large-scale adoption, and the limited effectiveness of carbon policies in accelerating hydrogen uptake.
| Repository name | URI |
|---|---|
| Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
• OS: MacOS
• Chip: M4 Pro.
• Memory available: 24 GB
Run time: 2 minutes
To reproduce the findings in the paper:
WB_AM_2026_Replicate Jupyter notebook from start to finish.All data and code in this package are currently embargoed. Most results are displayed directly within the Jupyter notebook.
The package also includes an Outputs/ directory containing selected generated figures. Users may use these files to verify the results presented in the paper. Not all tables are saved in the Outputs/ folder. Some tables and figures are displayed directly within the Jupyter notebook and were not exported as separate files.
Note: The reproducibility package begins from a single consolidated dataset manually compiled by the authors using the sources listed in the Dataset section of this entry and in the README. This compiled dataset serves as the starting point of the analysis.
All data is temporarily embargoed by the authors. See more information on variable creation in the README file.
| Author | Affiliation | |
|---|---|---|
| Jevgenijs Steinbuks | World Bank | jsteinbuks@worldbank.org |
| Svetlana Ikonnikova | School of Management at the Technical University of Munich | svetlana.ikonnikova@tum.de |
2026-03-02
| Location | Code |
|---|---|
| World | WLD |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
| Name | URI |
|---|---|
| Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
| Name | Affiliation | |
|---|---|---|
| Jevgenijs Steinbuks | World Bank | jsteinbuks@worldbank.org |
| Reproducibility WBG | World Bank | reproducibility@worldbank.org |
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reproducibility WBG | DECDI | World Bank - Development Impact Department | Verification and preparation of metadata |
2026-03-02
1