Assessing the Operational Efficiency of U.S. Airports: Do Governance Structures Matter?

Presenter Information

Xiaowei SongFollow

Presenter Type

UNO Graduate Student (Doctoral)

Major/Field of Study

Public Administration

Advisor Information

Professor Carol Ebdon

Location

MBSC304 - G (Doctoral)

Presentation Type

Oral Presentation

Start Date

24-3-2023 1:00 PM

End Date

4-3-2023 2:15 PM

Abstract

In contrast to the extensive privatization of European airports, primary commercial service airports in the U.S. are largely owned and operated by general-purpose governments or independent authorities. The variation in airport governance structures represents variable institutional arrangements that can affect airport operation and governance. Theoretically, airports governed by independent authorities are expected to achieve economies of scale and more efficient operation and management. However, the empirical findings remain inconclusive. Based on a panel data set of 26 U.S. large hub airports from 2010 to 2019, this research attempts to use linear dynamic panel data models to estimate how airport governance structures affect airport operational efficiency.

Scheduling

1-2:15 p.m., 2:30 -3:45 p.m.

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COinS
 
Mar 24th, 1:00 PM Mar 4th, 2:15 PM

Assessing the Operational Efficiency of U.S. Airports: Do Governance Structures Matter?

MBSC304 - G (Doctoral)

In contrast to the extensive privatization of European airports, primary commercial service airports in the U.S. are largely owned and operated by general-purpose governments or independent authorities. The variation in airport governance structures represents variable institutional arrangements that can affect airport operation and governance. Theoretically, airports governed by independent authorities are expected to achieve economies of scale and more efficient operation and management. However, the empirical findings remain inconclusive. Based on a panel data set of 26 U.S. large hub airports from 2010 to 2019, this research attempts to use linear dynamic panel data models to estimate how airport governance structures affect airport operational efficiency.