Evidence map›Paper›PMID 36158098›Full record

ArticleHeliyon2022

Population density and energy consumption: A study in Indonesian provinces.

Irfani Fithria Ummul Muzayanah, Hooi Hooi Lean, Djoni Hartono, Kenny Devita Indraswari, Ramadani Partama

Abstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Syndemic analysis of stroke in Indonesia.The Lancet regional health. Western Pacific · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Driving factors of energy related COScientific reports · 2023
    Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Irfani Fithria Ummul MuzayanahDepartment of Economics, Faculty of Economics and Business, Universitas Indonesia, Indonesia.
Hooi Hooi LeanEconomics Program, School of Social Sciences, Universiti Sains Malaysia, Penang, Malaysia.
Djoni HartonoDepartment of Economics, Faculty of Economics and Business, Universitas Indonesia, Indonesia.
Kenny Devita IndraswariDepartment of Economics, Faculty of Economics and Business, Universitas Indonesia, Indonesia.
Ramadani PartamaResearch Cluster on Energy Modeling and Regional Economic Analysis, Department of Economics, Faculty of Economics and Business, Universitas Indonesia, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Energy consumptionPanel dataPopulation densitySTIRPAT

Identifiers

PMID36158098
PMCPMC9489514

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.