2015年-世界发展银行全球_Infrastructure_in_Conflict-Prone_and_Fragile_Environments___Evidence_from_the_Democratic_Republic_of_Congo_58页_3mb

Summary of "Infrastructure in Conflict-Prone and Fragile Environments: Evidence from the Democratic Republic of Congo"

Core Content

This working paper investigates the relationship between transport infrastructure and conflict in the Democratic Republic of Congo (DRC), focusing on the effects of transport costs and conflict on welfare indicators such as wealth, poverty, and local GDP. The study aims to assess whether investments in transport infrastructure can effectively promote economic growth and reduce poverty in conflict-prone and fragile environments, and whether these investments may have unintended consequences in areas of high conflict.

Main Viewpoints

• Transport infrastructure is crucial for economic recovery in post-conflict and conflict-prone regions, as it can restore connectivity, revive economies, and reduce trade costs.
• Conflict and transport costs are endogenous variables, meaning they are not independent and can influence each other. For example, conflict can reduce investment and economic activity, while lower transport costs can increase economic opportunities and potentially reduce conflict.
• The study introduces a new methodological approach to address endogeneity issues using instrumental variables. Specifically:
  • A "natural-historical path" is developed as an instrument for transport costs, based on the shortest route considering geography and historical caravan routes.
  • Ethnic fractionalization and distance to the eastern border are used to instrument for conflict.
• Spatial kernel density functions are used to proxy for conflict incidence, addressing the challenge of measuring conflict's geographic impact accurately.
• Empirical results show that:
  • Reducing transport costs generally improves welfare by increasing wealth and reducing multi-dimensional poverty.
  • In areas of intense conflict, infrastructure improvements may not yield the expected benefits, and in some cases could worsen well-being due to the potential for increased access to conflict-affected regions.
  • Conflict proximity plays a key role in determining its impact on welfare. Conflict near households has a strongly negative effect on wealth, while conflict near markets has a positive effect on poverty.
  • Distance from the market can act as a sanctuary from conflict, meaning that households farther from markets may benefit more from reduced conflict than from improved infrastructure.

Key Information

Data and Methodology

• The analysis uses DRC road infrastructure data and GIS data to estimate travel costs.
• A theoretical model is developed to explore the interplay between transport costs and conflict on welfare.
• Instrumental variables are used to address endogeneity in transport costs and conflict:
  • Natural-historical path for transport costs.
  • Ethnic fractionalization and distance to the eastern border for conflict.
• Robustness checks are conducted using Conley Bounds, showing that the results are consistent even when the exclusion restriction assumption is relaxed.

Findings

• Transport costs negatively impact wealth and positively impact the probability of being multi-dimensionally poor.
• Conflict has a dual effect depending on its location:
  • Conflict near households significantly reduces household wealth.
  • Conflict near markets increases the probability of multi-dimensional poverty.
• High conflict near both households and markets can lead to higher welfare for distant households, as remoteness may offer protection from conflict.
• Infrastructure investments in conflict-affected areas may have mixed or negative effects, especially if conflict remains intense.
• Policy implications suggest that nuanced strategies are needed that consider both conflict dynamics and infrastructure development, with a focus on governance alongside physical construction.

Conclusion

The paper emphasizes the complex interplay between transport infrastructure and conflict in fragile states. It argues that while improving transport infrastructure is essential for economic growth, its effectiveness depends on the context of conflict. In areas of intense conflict, infrastructure alone may not be sufficient, and combined interventions that address both governance and infrastructure are necessary for sustainable development and peacebuilding.

Key Variables and Indicators

• Transport costs: Measured using the natural-historical path and modeled as $ t_i = zn_i $.
• Conflict: Proxied by a spatial kernel density function and instrumented using ethnic fractionalization and distance to the eastern border.
• Welfare indicators:
  • Wealth index
  • Poverty index
  • Local GDP estimated using nighttime lights data

Theoretical Model Highlights

• A simple economic model is presented to analyze how transport costs and conflict influence rebel incentives and welfare outcomes.
• The model considers three stages:
  1. Stage 1: Households decide whether to farm or rebel.
  2. Stage 2: Rebels determine looting strategies (market or farm).
  3. Stage 3: Farmers decide production levels and types of goods to produce.
• The model is solved using backward induction, starting from the final stage.
• Key results from the model:
  • Lower transport costs can lead to a shift from farming to rebellion if looting costs are low.
  • Higher conflict near markets can have a more significant negative impact on welfare than conflict near households, depending on the relative welfare weights of goods in the utility function.

Policy Implications

• Infrastructure investments in conflict-affected areas should be carefully evaluated for their potential to either reduce or exacerbate conflict.
• Combined strategies that target governance and infrastructure are necessary for effective development and peacebuilding.
• Transport infrastructure is a critical component of economic recovery but must be integrated with broader peace and governance initiatives to avoid unintended consequences.