Economic output changed by domestic flight delay in China in 2013
Principal Investigator(s): View help for Principal Investigator(s) Yuxiu Chen, Civil Aviation University of China
Version: View help for Version V1
Name | File Type | Size | Last Modified |
---|---|---|---|
uploaded-public-data--ICPSR-.xlsx | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet | 681.8 KB | 06/14/2017 08:01:PM |
Project Citation:
Chen, Yuxiu. Economic output changed by domestic flight delay in China in 2013. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2017-06-15. https://doi.org/10.3886/E100749V1
Project Description
Summary:
View help for Summary
In order to use input-output model to appraise the impact of flight delay on China economy in 2013, the study constructs an
air passenger demand and air ticket fare simultaneous equations to measure the economic output changed by flight delay in Chinese air transportation industry. The air ticket fare model includes one dependent variables of logarithm of ticket fare, and 6 independent variables which are lagged value of delay, logarithm of passengers, logarithm of route
distance, logarithm of market competition, time and a dummy variable of named busy airport. The air passenger demand model includes one dependent variables of logarithm
of passengers, and 5 independent variables which are lagged value of delay,logarithm
of ticket fare,logarithm
of income, logarithm of GDP and time variable.
The data of the variables are collected from 2011-2013. Air route data, including airport code,ticket fare,passengers,route distance are retrieved from Official Aviation Guide(OAG) with permission. Market competition(HHI) is calculated based the passengers data. The delay data are retrieved from Civil Aviation University of China with perimission. Busy airport is judged with the airport traffic data pulished publicly by Civil Aviation Administration of China.Income and GDP data are retrieved from Statistical Yearbook of each city published publicly
The data of the variables are collected from 2011-2013. Air route data, including airport code,ticket fare,passengers,route distance are retrieved from Official Aviation Guide(OAG) with permission. Market competition(HHI) is calculated based the passengers data. The delay data are retrieved from Civil Aviation University of China with perimission. Busy airport is judged with the airport traffic data pulished publicly by Civil Aviation Administration of China.Income and GDP data are retrieved from Statistical Yearbook of each city published publicly
Funding Sources:
View help for Funding Sources
National Social Science Foundation of China (13CGL005);
National Nature Science Foundation of China (61179046/F01);
Science Foundation of Civil Aviation University of China (2012KYH05)
Scope of Project
Subject Terms:
View help for Subject Terms
economics;
air transportation;
flight delay
Geographic Coverage:
View help for Geographic Coverage
China
Time Period(s):
View help for Time Period(s)
2011 – 2013
Data Type(s):
View help for Data Type(s)
administrative records data
Collection Notes:
View help for Collection Notes
There are two kinds of delay in the
dataset. Delaylag-A is one of the delay kinds which occurs when flight actual
arrival time is later than scheduled arrival time,which is used in air ticket fare model. Delaylag-SA is the interval added
to optimal flight time to establish the flight schedule, which is used in the air passenger demand model.
Herfindahl- Hirschman index(HHI) is used to appraise air market competition extent.
Busy is a dummy variable set to be 1 if the departure or arrival airport is a busy airport and 0 otherwise. The busy airport is defined as the airport with the yearly throughput more than 10 million passengers.
Herfindahl- Hirschman index(HHI) is used to appraise air market competition extent.
Busy is a dummy variable set to be 1 if the departure or arrival airport is a busy airport and 0 otherwise. The busy airport is defined as the airport with the yearly throughput more than 10 million passengers.
Methodology
Sampling:
View help for Sampling
The data collection is a pooled cross-sectional time-series of 9 airlines over a period of 3 years (2011-2013), resulting in 4663 observations.
Data Source:
View help for Data Source
The data are collected from 2011-2013. Air route data,
including airport code,ticket fare,passengers,route distance are retrieved from
Official Aviation Guide(OAG) with permission. Market competition(HHI) is
calculated based the passengers data. The delay data are retrieved from Civil
Aviation University of China with perimission. Busy airport is judged with the
airport traffic data pulished publicly by Civil Aviation Administration of
China.Income and GDP data are retrieved from Statistical Yearbook of each city
published publicly.
Related Publications
Published Versions
Report a Problem
Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.
This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.