The Economic Impacts of Transport Corridors: A Critical Review

Transport Corridors and Their Estimated WEBs
A Critical Review of the Literature
Th
é
ophile
 Bougna*
, Martin Melecky, Mark Roberts,
Yan Xu, and Esther Bartl
Big infrastructure to benefit both the big & small economy
Many new corridors
proposed with aim to
benefit aggregate
economy & create wider
economic benefits (WEBs)
But how to tell prosperity-
boosting corridors from
white elephants?
And how to ensure
corridors benefit many &
not just the few big
players?
We Ask
What is range of development
impacts corridors can generate
beyond travel time & VOC
savings?
Who wins & who loses?
What are the trade-offs that
policy-makers need to manage?
What are the conditions &
complementary reforms to
ensure investments produce
positive net WEBs?
Key Findings
Range of impacts literature
examines still narrow
Typical focus is on impact in
immediate vicinity of newly
built road systems within
national borders
Average impacts beneficial for
most outcomes with exception
of environment
Some evidence of losers as well
as winners
Importance of complementary
policies that could enable or
amplify WEBs rarely considered
Outline
1.
Methodology
2.
Data & Descriptive Analysis
3.
Meta-Regression Analysis
4.
Policy Implications
Organizing Framework: Causal Links
Corridor interventions generate WEBs through intermediate outcomes (
α
 & 
γ
)
α
Empirical studies frequently estimate only impact of intervention on either WEB (
 
)
or on intermediate outcome (
 )
Papers Identified For Review Via
A.
Google Scholar
 searches
based on permutations of
outcomes & transport
related keywords:
E.g. roads, GDP, impacts
Highways, GDP, impacts
Rail, Poverty, impacts etc.,
etc.
B.
Analysis of references within
papers identified by A
C.
Consultations with experts
to identify important papers
missed through A & B
Considers a 
LARGE
 transport
intervention:
Connection between 2+
major nodes/hubs
Big improvements in “last
mile” connectivity
Meets an “academic standard”
Include “gray literature”
Published after 1999
Double-blind
” tagging system with weekly reconciliation meetings
78 papers with 234 results (analyzed outcomes)
Increasing interest: 71% of papers published during 2011-2016
The Typical Paper Focuses On …
India, China, or United States
Construction of new systems of roads within national borders
Connections between urban centers; and rarely beyond country
borders
Most of studies grounded in a theoretical motivation 
 
most
often an economic geography model of trade
Significant WEB impacts identified mostly on: 
income, job
creation, equity, and environment
Significant intermediate impacts on: 
population, assets, trade,
and productivity
Estimations rarely consider complementary policies. (
labor and
trade)
Strong emphasis on identification to address endogenous
placement
Meta-Regression Analysis
Quantitative tool designed to help synthesize findings from
diverse studies of a particular phenomenon
We ask two questions:
1.
Can variations in estimated impacts be “explained” by variations in
characteristics of projects & by observed methodological variations?
2.
Are there policy-relevant insights that emerge from the literature
 e.g. evidence that certain features of projects are associated with more beneficial
outcomes?
Impacts relate to diverse outcomes derived using diverse
treatment variables & modelling approaches
estimated coefficients on treatment 
not
 comparable
Use 
t
-statistics 
 provides standardization:
Higher 
t
-stat can be result of: 
(i)
 stronger treatment effect; and/or 
(ii)
 more precisely
estimated treatment effect
Ordered probit model as robustness check
Summary of Results
Significant beneficial effects on economic welfare & equity
By contrast:
Impact on social inclusion significantly smaller / less certain
Impact on environment detrimental
 trade-offs between different outcomes
Also evidence that while average WEBs for income & jobs are
positive, some places may lose
Compared with roads, impacts of rail significantly smaller / less certain
Larger/ more certain impacts in Africa than in Western Europe
Endogenous placement is real: relative to IV, OLS estimation
produces higher 
t
-stats
Compared with urban-urban connections, significantly smaller /
less certain impacts for urban-gateway connections:
Ability of urban-gateway connections to generate benefits depends on, e.g.,
efficiency of ports, trade barriers etc.
Policy Implications From Meta-Analysis
Evidence of positive WEBs in terms of income & jobs, but with
trade-offs 
between outcomes
Solid evidence of significant positive 
average
 WEBs in terms of both income & jobs
Evidence of detrimental impacts on environment & 
social inclusion
Greater / more certain impacts if:
Invest in roads rather than rail?
But need to be careful – most of evidence on rail relates to 19th century!
Smaller / less certain impacts if:
Focus on connections to international gateways?
Important to look for evidence of heterogeneous impacts
not just in their own right, but because may also affect estimates of average impacts
Help answer the question of 
”what would happen if expenditure was
distributed differently’’
Shall we spend more in areas that are less economically successful hinge?
Blind Spots & Caveats
More & higher quality research on impacts beyond
income, trade, productivity & jobs required
More research is required on the impacts of more
modern rail projects and multi-modal transport projects
Understanding of role of complementary policies still in
its infancy
partly because literature often aims to isolate impacts of the transport
intervention from other “confounding” policy factors
Lack of attention to costs in literature
Development of CBA “toolkit” would benefit from more
high-quality ex ante applications in literature
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This review explores the development impacts of transport corridors beyond travel time and vehicle operating cost savings, addressing winners and losers, trade-offs for policymakers, and conditions for positive net economic benefits. Key findings show a narrow focus on immediate impacts, evidence of both beneficiaries and losers, and the importance of complementary policies to enhance economic benefits.

  • Transport Corridors
  • Economic Impact
  • Policy Implications
  • Development Impacts
  • Infrastructure

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  1. Transport Corridors and Their Estimated WEBs A Critical Review of the Literature Th ophile Bougna*, Martin Melecky, Mark Roberts, Yan Xu, and Esther Bartl

  2. Big infrastructure to benefit both the big & small economy Many new corridors proposed with aim to benefit aggregate economy & create wider economic benefits (WEBs) But how to tell prosperity- boosting corridors from white elephants? And how to ensure corridors benefit many & not just the few big players?

  3. We Ask What is range of development impacts corridors can generate beyond travel time & VOC savings? Who wins & who loses? What are the trade-offs that policy-makers need to manage? What are the conditions & complementary reforms to ensure investments produce positive net WEBs?

  4. Key Findings Range of impacts literature examines still narrow Typical focus is on impact in immediate vicinity of newly built road systems within national borders Average impacts beneficial for most outcomes with exception of environment Some evidence of losers as well as winners Importance of complementary policies that could enable or amplify WEBs rarely considered

  5. Outline 1.Methodology 2.Data & Descriptive Analysis 3.Meta-Regression Analysis 4.Policy Implications

  6. Organizing Framework: Causal Links Corridor interventions generate WEBs through intermediate outcomes ( & ) Intervention Intermediate Outcomes Wider Economic Benefits (WEBs) Land value Migration Population Agglomeration Firm location Investment/FDI Structural change Productivity Trade Transport mode: Road Rail Waterway Connection type: Urban urban Urban rural Urban gateway Construction type: New system Upgrade system New link Upgrade - link Economic Welfare: Income Wages Consumption Social inclusion: Jobs Gender Equity Geographic Inter-personal Poverty Environmental: Air Pollution Deforestation Economic Resilience Empirical studies frequently estimate only impact of intervention on either WEB ( ) or on intermediate outcome ( )

  7. Papers Identified For Review Via Considers a LARGE transport intervention: Connection between 2+ major nodes/hubs Big improvements in last mile connectivity Meets an academic standard Include gray literature Published after 1999 A. Google Scholar searches based on permutations of outcomes & transport related keywords: E.g. roads, GDP, impacts Highways, GDP, impacts Rail, Poverty, impacts etc., etc. B. Analysis of references within papers identified by A C. Consultations with experts to identify important papers missed through A & B

  8. Increasing interest: 71% of papers published during 2011-2016 Double-blind tagging system with weekly reconciliation meetings 78 papers with 234 results (analyzed outcomes) # of Papers by Mode of Publication Number of papers in sample by year of publication Unpublish ed papers, 9% Edited book volume, 1% 20 18 16 Other working papers, 19% # of papers published 14 12 10 Journal articles, 59% 8 6 4 NBER working papers, 4% 2 0 WB 2001 2002 2000 2003 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 working papers, 8%

  9. The Typical Paper Focuses On India, China, or United States Construction of new systems of roads within national borders Connections between urban centers; and rarely beyond country borders Most of studies grounded in a theoretical motivation most often an economic geography model of trade Significant WEB impacts identified mostly on: income, job creation, equity, and environment Significant intermediate impacts on: population, assets, trade, and productivity Estimations rarely consider complementary policies. (labor and trade) Strong emphasis on identification to address endogenous placement

  10. Meta-Regression Analysis Quantitative tool designed to help synthesize findings from diverse studies of a particular phenomenon We ask two questions: 1. Can variations in estimated impacts be explained by variations in characteristics of projects & by observed methodological variations? 2. Are there policy-relevant insights that emerge from the literature e.g. evidence that certain features of projects are associated with more beneficial outcomes? Impacts relate to diverse outcomes derived using diverse treatment variables & modelling approaches estimated coefficients on treatment not comparable Use t-statistics provides standardization: Higher t-stat can be result of: (i) stronger treatment effect; and/or (ii) more precisely estimated treatment effect Ordered probit model as robustness check

  11. Summary of Results Significant beneficial effects on economic welfare & equity By contrast: Impact on social inclusion significantly smaller / less certain Impact on environment detrimental trade-offs between different outcomes Also evidence that while average WEBs for income & jobs are positive, some places may lose Compared with roads, impacts of rail significantly smaller / less certain Larger/ more certain impacts in Africa than in Western Europe Endogenous placement is real: relative to IV, OLS estimation produces higher t-stats Compared with urban-urban connections, significantly smaller / less certain impacts for urban-gateway connections: Ability of urban-gateway connections to generate benefits depends on, e.g., efficiency of ports, trade barriers etc.

  12. Policy Implications From Meta-Analysis Evidence of positive WEBs in terms of income & jobs, but with trade-offs between outcomes Solid evidence of significant positive average WEBs in terms of both income & jobs Evidence of detrimental impacts on environment & social inclusion Greater / more certain impacts if: Invest in roads rather than rail? But need to be careful most of evidence on rail relates to 19th century! Smaller / less certain impacts if: Focus on connections to international gateways? Important to look for evidence of heterogeneous impacts not just in their own right, but because may also affect estimates of average impacts Help answer the question of what would happen if expenditure was distributed differently Shall we spend more in areas that are less economically successful hinge?

  13. Blind Spots & Caveats More & higher quality research on impacts beyond income, trade, productivity & jobs required More research is required on the impacts of more modern rail projects and multi-modal transport projects Understanding of role of complementary policies still in its infancy partly because literature often aims to isolate impacts of the transport intervention from other confounding policy factors Lack of attention to costs in literature Development of CBA toolkit would benefit from more high-quality ex ante applications in literature

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