2014年-世界发展银行全球_Environmental_Health_Costs_in_Colombia___The_Changes_from_2002_to_2010_62页_2mb

Environmental Health Costs in Colombia: Changes from 2002 to 2010

Core Content

This report provides an updated analysis of environmental health costs in Colombia between 2002 and 2010, focusing on three key areas: Urban Air Pollution (UAP), Inadequate Water Supply, Sanitation, and Hygiene (WASH), and Indoor Air Pollution (IAP) from solid fuel use. The study is part of the World Bank's Environment & Water Resources Occasional Paper Series and was conducted in 2012 to support the Colombia: Strengthening Environmental Policies and Institutions initiative.

Main Findings

Total Environmental Health Costs

• Total annual health cost attributed to the three environmental factors (UAP, WASH, IAP) in 2010 was 10.2 trillion COP, or 2% of GDP.
• Mortality: About 7,600 premature deaths were linked to these environmental factors in 2010.
• Morbidity: The total burden of disease (measured in DALYs) was 97 million.

Breakdown by Factor

Key Trends

• UAP became the most costly environmental factor, surpassing WASH and IAP.
• UAP costs increased by 0.25 percentage points of GDP, reaching 1.1% in 2010.
• WASH costs decreased to 0.68% of GDP, but child mortality remains a major contributor.
• IAP costs decreased to 0.22% of GDP, but continue to disproportionately affect women and children, especially in rural areas.

Environmental Health Cost Drivers

Urban Air Pollution

• Health impacts: UAP is associated with acute lower respiratory infections (ALRI), chronic bronchitis (CB), lung cancer (Lc), and acute upper respiratory infections (AURI).
• Mortality: 5,000 premature deaths annually attributed to UAP.
• Morbidity: 65 million DALYs annually.
• Cost savings: Improved air quality in Bogotá from 66 µg/m³ (2002) to 59 µg/m³ (2010) saved 200 lives per year and 252 billion COP in health costs annually.
• Sensitivity analysis: Without air quality improvements, UAP-related health costs would have been 7% higher.

Inadequate Water Supply, Sanitation and Hygiene (WASH)

• Health impacts: WASH is linked to diarrheal illness, child mortality, and malnutrition.
• Mortality: 1,600 premature deaths annually.
• Morbidity: 20 million DALYs annually.
• Cost: 3.45 trillion COP annually, or 0.68% of GDP.
• Child mortality: Accounts for 17% of total costs, with diarrheal illness contributing 89% of the WASH-related health cost.
• Rural improvements: Increased access to improved sanitation in rural areas has contributed to a reduction in health costs.

Indoor Air Pollution (IAP)

• Health impacts: IAP is associated with acute respiratory infections (ARI) and chronic obstructive pulmonary disease (COPD).
• Mortality: 1,000 premature deaths annually.
• Morbidity: 12 million DALYs annually.
• Cost: 1.129 trillion COP annually, or 0.22% of GDP.
• Vulnerable groups: IAP disproportionately affects women over 30 and children under five, with 78% of costs attributed to female mortality and 6% to child mortality.
• Impact on poverty: IAP continues to perpetuate the cycle of poverty, particularly in rural areas.

Policy Implications

• The study highlights the need for targeted interventions to reduce health impacts in the most vulnerable groups.
• Subnational analysis is recommended to better understand the distribution of health costs.
• Cost-benefit analysis of specific policy interventions is essential to guide resource allocation.
• Disaggregated data on health outcomes, fuel use, and access to infrastructure services is required for future studies.
• Environmental policies should be aligned with poverty reduction goals, as these factors are closely linked to health outcomes and socioeconomic development.

Methodology and Data Sources

• The study uses monetary valuation methods, including Value of a Statistical Life (VSL) and Willingness to Pay (WTP).
• PM₁₀ data and air quality monitoring networks were used to estimate health impacts.
• The 2009 average exchange rate (1 USD = 2,158 COP) was applied for currency conversion.
• Data sources include:
  • National statistical data from DANE
  • Health data from ENDS and NCHS
  • Environmental data from CEAs and GBD
  • Air quality data from Bogotá's PDDB and other cities

Conclusion

The environmental health costs in Colombia have evolved significantly from 2002 to 2010. While UAP has become the leading contributor, WASH and IAP still impose substantial burdens, especially on children and women. These findings underscore the importance of environmental policies that address health impacts and poverty alleviation. The study serves as a foundation for future policy development, investment decisions, and environmental management strategies in the region.