The Impact of Infrastructure on Development Outcomes
This paper presents a meta-analysis of the infrastructure research done over more than three decades, using a database of over a thousand estimates from 221 papers reporting outcome elasticities. The analysis casts a wide net to include the transport, energy, and digital or information and communication technology (ICT) sectors, and the whole set of outcomes covered in the literature, including output, employment and wages, inequality and poverty, trade, education and health, population, and environmental aspects. The results allow for an update of the underlying parameters of interest, the “true” underlying infrastructure elasticities, accounting for publication bias, as well as for heterogeneity stemming from both study design and context, with a particular focus on developing countries.
| Main Authors: | , , , , |
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| Format: | Working Paper biblioteca |
| Language: | English English |
| Published: |
World Bank, Washington, DC
2023-03
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| Subjects: | INFRASTRUCTURE POLICY RESEARCH, INFRASTRUCTURE LITERATURE META-ANALYSIS, TRANSPORT INFRASTRUCTURE OUTCOMES, ENERGY INFRASTRUCTURE RESEARCH, DIGITAL INFRASTRUCTURE OUTCOMES, INFRASTRUCTURE ELASTICITIES, ICT INFRASTRUCTURE RESEARCH, |
| Online Access: | http://documents.worldbank.org/curated/en/099510203092318515/IDU08a9d8af40f7d50487e0837208744c048b215 https://openknowledge.worldbank.org/handle/10986/39534 |
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| Summary: | This paper presents a meta-analysis of the infrastructure research done over more than three decades, using a database of over a thousand estimates from 221 papers reporting outcome elasticities. The analysis casts a wide net to include the transport, energy, and digital or information and communication technology (ICT) sectors, and the whole set of outcomes covered in the literature, including output, employment and wages, inequality and poverty, trade, education and health, population, and environmental aspects. The results allow for an update of the underlying parameters of interest, the “true” underlying infrastructure elasticities, accounting for publication bias, as well as for heterogeneity stemming from both study design and context, with a particular focus on developing countries. |
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