TY - JOUR
T1 - Population density and energy consumption
T2 - A study in Indonesian provinces
AU - Muzayanah, Irfani Fithria Ummul
AU - Lean, Hooi Hooi
AU - Hartono, Djoni
AU - Indraswari, Kenny Devita
AU - Partama, Ramadani
N1 - Funding Information:
This work was supported by Universitas Indonesia PUTI Grant NKB-800/UN2.RST/HKP.05.00/2020.
Publisher Copyright:
© 2022 The Author(s)
PY - 2022/9
Y1 - 2022/9
N2 - As the world's fourth most populous country, the population growth rate in Indonesia is expected to stay high. Owing to a combination of high-speed urbanization and increasing population density, economic growth is predicted to increase the demand for energy consumption. Thus, it is crucial to understand the relationship between population density and energy consumption in any country. This study evaluates the impact of population density on total energy consumption and the disaggregated electricity and fuel consumption at the provincial level in Indonesia. It uses the extended Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model. It also employed a balanced panel data of 33 provinces from 2010 to 2018. The results indicated that population density positively impacts energy consumption for total, electricity, and fuel consumption. This study suggests that incorporating population growth into national energy plans is crucial. Additionally, reducing energy inequality and uneven spatial distribution of the population is also needed.
AB - As the world's fourth most populous country, the population growth rate in Indonesia is expected to stay high. Owing to a combination of high-speed urbanization and increasing population density, economic growth is predicted to increase the demand for energy consumption. Thus, it is crucial to understand the relationship between population density and energy consumption in any country. This study evaluates the impact of population density on total energy consumption and the disaggregated electricity and fuel consumption at the provincial level in Indonesia. It uses the extended Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model. It also employed a balanced panel data of 33 provinces from 2010 to 2018. The results indicated that population density positively impacts energy consumption for total, electricity, and fuel consumption. This study suggests that incorporating population growth into national energy plans is crucial. Additionally, reducing energy inequality and uneven spatial distribution of the population is also needed.
KW - Energy consumption
KW - Panel data
KW - Population density
KW - STIRPAT
UR - http://www.scopus.com/inward/record.url?scp=85139237884&partnerID=8YFLogxK
U2 - 10.1016/j.heliyon.2022.e10634
DO - 10.1016/j.heliyon.2022.e10634
M3 - Article
AN - SCOPUS:85139237884
SN - 2405-8440
VL - 8
JO - Heliyon
JF - Heliyon
IS - 9
M1 - e10634
ER -