Hi,
I calculated emissions of NO2, PM2.5, CO, NOX, NMVOC, and NH3 based on the Tier 2 methodology of EMEP/EEA air pollutant emission inventory guidebook 2019 – Update Oct. 2021. I used emission factors and multiply them by the annual distance for each vehicle in the household, the number of cars changed from 0 to 5 cars for each household. I have make/model/age/fuel and engine size for vehicles.
now after calculating the total of each emission for the vehicles in the household, I try to fit the multiple regression model to interpret socio-economics and some other residential location attributes of the household on the level of emissions.
The coefficients all are insignificant, however, if I run the model with annual distance as the dependent variable, I receive the expected results like the positive effect of income, and the size of the household on the traveled distance.
my question is why this happened when the emissions also are a function of the distance,
is that correct that I expect the socioeconomic of the household should affect the annual emission of private transportation?
in other publications, i see this multiple regression but their calculation methodology was based on daily emission per household and other formulations.
which other method besides multiple regression can I use to see the effects of household characteristics on the level of these emissions? can I use for example path analysis? all of my IVs are categorial .
thank you
Nobody said you cannot test more than 1 hypothesis did they. Best wishes D Booth
- Badges
- Science topic
- Similar topics
- Correction