1 / 24

Measuring Investment in Infrastructure & Public Services: Data Overview & Challenges

This document provides an overview of data challenges in measuring investment in infrastructure and public services sectors. It explores the importance of PPP data for sustainable development and highlights the major challenge of estimating needs and gaps. The variations in estimates for investment gaps in infrastructure are discussed. The document also examines the data that PPPs can show and compares FDI data and World Bank PPI data. The conclusion emphasizes the slow growth in PPPs and the need for timely discussions.

lim
Download Presentation

Measuring Investment in Infrastructure & Public Services: Data Overview & Challenges

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Measuring Investment in Infrastructure and Public Services Sectors: A data overview and data challenges KalmanKalotay UNCTAD Public Forum and Regional Workshop for the Asia-Pacific Region on Phase 2 of the IIA Reform organized Jointly by UNCTAD, the International Institute for Trade and development (ITD) and the Ministry of Foreign Affairs of the Kingdom of Thailand, in collaboration with the International Institute for Sustainable Development (IISD) Bangkok, February 19-23, 2018

  2. Contents • Issues of PPP information in light of the SDGs • What PPP data can show • Conclusions for PPP stakeholders

  3. Issues of PPP information in light of the SGDs

  4. PPPs are common in two types of “infrastructure” • “Economic infrastructure”: • Electricity • Gas • Water and sewage • Transportation and storage • Telecommunications • “Soft infrastructure” or “public services”: • Education • Health and social services • Community, social and personal service activities • Public administration • Economic infrastructure is more frequently monitored

  5. Why PPP data are important for sustainable development • PPPs are key to various SDG goals • SDG 17, Partnership • Plus goals related to economic infrastructure development, as well as education and health, especially: • SDG 3, Good Health and Well-being • SDG 4, Quality Education • SDG 6, Clear Water and Sanitation • SDG 7, Affordable and Clean Energy • SDG 9, Industry, Innovation and Infrastructure • SDG 11, Sustainable Cities and Communities (via PPPs in communal services) • If investment is low and stagnant, we cannot reach the goals

  6. Major challenge: estimating needs and gaps This challenge goes beyond data collection • Gaps: needs-actual (or projected/forecasted) investments • Data cover only actual investments • Estimating needs and projected values requires more than data collection: • Econometric modelling etc.

  7. Estimates for investment gaps in infrastructure vary Examples: • UNCTAD (2014): $0.81.7 trillion annual gap (power, transport, communications and water) • McKinsey (2016): $3.3 trillion annual global gap (power, transport, communications and water) • World Economic Forum (2013): $ 5 trillion annual global gap (power, transport, buildings and industrial, communication, agriculture, forestry, and water) • Note: UNCTAD also has estimates for health ($140 billion per annum) and education ($250 billion per annum)

  8. Why the variation • Differences on underlying assumptions and projections for: • Economic growth • Policies • Technological changes • Scope of the sectors included • The treatment of difference between capital expenditure and other (operating) expenses

  9. What PPP data can show

  10. Most PPP data are outside the FDI universe that UNCTAD usually monitors PPP universe includes: • FDI: • Equity joint ventures between public and private entities • Non-FDI: • Concessions, build-operate-transfer (BOT), design-build-operate (DBO) projects etc. • Management contracts • Leases • Affermage • UNCTAD FDI data focus more on the first part (FDI)→ may lead to partial information

  11. FDI stock in selected sectors, 2015(Billions of dollars and per cent)

  12. Cross-border M&As in selected sectors, 20082017 (billions of dollars)

  13. Cross-border M&As in selected sectors, 20082017 (billions of dollars)

  14. Announced greenfield projects in selected sectors, 20082017 (billions of dollars)

  15. Announced greenfield projects in selected sectors, 20082017 (billions of dollars)

  16. Conclusion on FDI data • FDI in infrastructure is small, except in electricity and gas • FDI in public services is even smaller • No clear-cut growth over the past decade

  17. World Bank PPI database Commonly used for measuring investments in economic infrastructure • Fairly comprehensive and detailed: • 7,195 infrastructure projects in 139 low- and middle-income countries, 19902016 • Total value: $2,595 billion (public + private components) • Excludes soft infrastructure • Not fully exact in separating commitments and realizations • Stops reporting on countries that move to high income

  18. Conclusion of PPI data • Waiting for a take-off of PPPs in infrastructure and public services • Concentration in few countries

  19. Conclusions for PPP stakeholders

  20. Data indicate a major gap and slow growth in almost all activities • PPP is particular laggard in soft infrastructure • Challenge for all stakeholders: timeliness of your discussion

  21. Thank you Questions? Kalman.kalotay@unctad.org

More Related