Dear all,
I'm currenctly doing my empirical part of my master thesis with title: Socio-Economic analysis of investment in Renewable energy.
As a part of my research I would like to test 2 of my hypotheses:
1. Higher share of Renwables in energy mix reflects in lower Energy import. (EU-28)
2. Higher production from Renewables would reflect in lower CO2 emission rate. (EU-28)
3. Higher production from Renewables would reflect in higher access to electricity in Sub Saharan Africa
I have following data available :
1. Share of renewables (% of total production) for EU-28, from 1990-2016
2. Net energy import (% of total energy consumed) for EU-28, from 1990-2016
3. Share of renewables (% of total consumption) for EU-28, from 1990-2016
4. CO2 emission (in Tonnes) for EU-28, from 1990-2016
5. GDP per capita (in $) for EU-28 and Sub Saharan Africa, from 1990-2016
6. Access to electricity (% of population) for Sub Saharan Africa, from 1990-2016
7. Share of fossil fuels (% of total production) for Sub Saharan Africa, from 1990-2016
8 Population in EU-28 (in millions) for 1990-2016
Probably I have too little sample size (N=27) for running multiple linear regression, haven't I?
What kind of statistical method do you suggest to sufficiently test and interpret my hypotheses?
Any correlation methods?
Thanks a lot!
I'm currenctly doing my empirical part of my master thesis with title: Socio-Economic analysis of investment in Renewable energy.
As a part of my research I would like to test 2 of my hypotheses:
1. Higher share of Renwables in energy mix reflects in lower Energy import. (EU-28)
2. Higher production from Renewables would reflect in lower CO2 emission rate. (EU-28)
3. Higher production from Renewables would reflect in higher access to electricity in Sub Saharan Africa
I have following data available :
1. Share of renewables (% of total production) for EU-28, from 1990-2016
2. Net energy import (% of total energy consumed) for EU-28, from 1990-2016
3. Share of renewables (% of total consumption) for EU-28, from 1990-2016
4. CO2 emission (in Tonnes) for EU-28, from 1990-2016
5. GDP per capita (in $) for EU-28 and Sub Saharan Africa, from 1990-2016
6. Access to electricity (% of population) for Sub Saharan Africa, from 1990-2016
7. Share of fossil fuels (% of total production) for Sub Saharan Africa, from 1990-2016
8 Population in EU-28 (in millions) for 1990-2016
Probably I have too little sample size (N=27) for running multiple linear regression, haven't I?
What kind of statistical method do you suggest to sufficiently test and interpret my hypotheses?
Any correlation methods?
Thanks a lot!