Efficiency Analysis Based on Two-Stage Undesirable Dynamic SBM Model

Area of Science:

• Environmental Health
• Public Health
• Epidemiology

Background:

• Smoking is a known lung cancer risk factor, but air pollution's impact is understudied, especially in Asia.
• Existing research on pollution and lung cancer often uses outdated static models.
• Limited studies evaluate the efficiency of pollution control concerning lung cancer in Asian regions.

Purpose of the Study:

• To analyze the efficiency relationship between air pollution and lung cancer using a novel dynamic model.
• To evaluate
• production and environment efficiency
• and
• life health and well-being efficiency
• in Taiwan.
• To address the research gap on pollution-related lung cancer efficiency in Asia.

Main Methods:

• Application of a Two-stage Undesirable Dynamic Slack-Based Model (SBM).
• Utilized 22 counties and cities in Taiwan as Decision Making Units (DMUs).
• Systematic evaluation of two distinct efficiency stages.

Main Results:

• The study provides the first efficiency analysis of air pollution and lung cancer in Taiwan using a dynamic SBM.
• Identified efficiency variations across different regions concerning pollution and lung cancer.
• Established an analytical framework for policy relevance.

Conclusions:

• The novel dynamic model offers a robust method for assessing pollution-environment-health linkages.
• Empirical evidence supports targeted government interventions for precision health.
• Findings contribute to achieving Sustainable Development Goals (SDG 3 and SDG 11).