Biographies of the Speakers Click to view
Time of Event
Day 1: 15:00-18:00 Tokyo time
Day 2: 15:00-18:00 Tokyo time
Day 3: 15:00-18:00 Tokyo time
Summary
Infrastructure development could provide an important boost to COVID-19 recovery among developing Asian economies but will require financing solutions that address growing constraints on the use of public funds for projects due to the pandemic. New funding sources are particularly vital for tackling the region’s sustainable infrastructure investment gap, which is equal to 2.4% of GDP and includes financing for climate mitigation and adaptation.
Cohosted with the Central Asia Regional Economic Cooperation (CAREC) Institute, this final virtual workshop of the ADBI series on infrastructure impact analysis in Asia through big data examined new, big data-based research on infrastructure’s socioeconomic spillover effects and measures for optimizing them to mobilize private investment growth within the sector.
Objectives
- Assess the role of big data in gauging the spillover effects of infrastructure growth
- Consider how infrastructure’s spillover effects can be channeled to attract private investment for new projects
Target Participants
- Policy makers and experts from think tanks, universities, and other institutions, as well as postgraduate students
Output
- Enhanced understanding of how big data can be used to determine the spillover effects of infrastructure and policies for harnessing them to address project funding gaps
- Greater impetus for dialogue, research, and cooperation on innovative infrastructure financing and development
Partners
- Central Asia Regional Economic Cooperation Institute
Workshop Presentations*
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The use of data in infrastructure analysis and spill over benefits to communities |
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ICT and Labor Mobility: Online search and prediction of remittances in Kyrgyz Republic |
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Discussant presentation for Roland-Holst et al., “ICT and Labor Mobility: Online Search and prediction of remittances in the Kyrgyz Republic” |
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Comments Spatial Analysis SDG |
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Market Access and Firm Performance Evidence based on GIS Analysis of Road Network and Manufacturing-Plant-level Data of India |
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Market access and firm performance: evidence based on GIS analysis of road network & manufacturing plant data of India by Sonnath Sharma et al. |
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Socio-economic Spillover Effect of Digital Communications Infrastructure (DCI) in India and Big Data Possibilities |
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CBA of Spillover Tax Revenues of Infrastructure: Case Study of High-Speed Railway in Asia |
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Macroeconomics Aspects of Infrastructure and Its Application to Specific Projects in Asia |
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Discussion notes on Macroeconomic Aspects of Infrastructure Investment And Its Application in Asia |
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Managerial Lessons in the COVID Era: Infrastructure Investment and City Development |
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Managerial Lessons in the COVID Era: Infrastructure Investment and City Development |
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The socioeconomic impact of land use policy and metro investment in urban India: Through remote sensing floor-area-ratio detection |
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Discussant presentation for Chen et al., “The socioeconomic impact of land use policy and metro investment in urban India” |
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An Empirical Evidence and Proposal on the Spillover Effects of Information and Communication Technology Infrastructure in India |
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“Empirical Evidence and Proposal on the Spillover Effects of Information and Communication Technology Infrastructure in India” |
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Evaluating COVID-19 Impact on Firm Performance in the CAREC Region Using Night-Time Light Data: Azerbaijan, Georgia, Kazakhstan and Mongolia |
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Paper 9: Evaluating COVID-19 Impact on Firm Performance in the CAREC Region using Night time light data |
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Hard and Soft infrastructure: can investments in “Soft” infrastructure deliver a sustainable and inclusive economic boost to Central Asian nations post COV19? |
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Comments to the paper: “Hard and Soft Infrastructure: can investments in “Soft Infrastructure” deliver a sustainable and inclusive economic boost to Central Asian nations post COV19?” |
*Disclaimer: The views expressed in these presentations are the views of the authors and do not necessarily reflect the views or policies of the Asian Development Bank Institute (ADBI), the Asian Development Bank (ADB), its Board of Directors, or the governments they represent. ADBI does not guarantee the accuracy of the data included in these presentations and accepts no responsibility for any consequences of their use. Terminology used may not necessarily be consistent with ADB official terms.