Evidence map›Paper›PMID 33113061›Full record

ArticleEnvironmental science and pollution research international2021

Globalization, sustainable development, and variation in cost of power plant technologies: A perspective of developing economies.

Azka Amin, Xi-Hua Liu, Qaiser Abbas, Imran Hanif, Xuan Vinh Vo

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
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

5 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Article
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  5. 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 at 5 institutions in 3 countries.

Azka AminFaculty of Business Administration, Iqra University, Karachi, Pakistan.
Xi-Hua LiuSchool of Economic, Qingdao University, Qingdao, 266061, China.
Qaiser AbbasDepartment of Economic, Ghazi University, D G Khan, Pakistan. Qabbas@gudgk.edu.pk.
Imran HanifAssistant Professor Department of Economics, University of Management and Technology, Lahore, Pakistan.
Xuan Vinh VoInstitute of Business Research and CVFG, University of Economics, Ho Chi Minh City, Vietnam.
Ghazi University · PKIqra University · PKQingdao University · CNUniversity of Economics Ho Chi Minh City · VNUniversity of Management and Technology · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluates the sustainable power plant cost in the outlook of global power plant efficiency to reduce fossil fuel dependency and greenhouse gas emissions. For this purpose, the Global Change Assessment Model (GCAM) applied for conducting the cost assessment of power zone technologies for all principal electricity generation. This study considers the characteristics of essential factors (cement, price of resources, possible increases in employees, and metals) that affect costs. This study suggests that the cost of electricity-generating technologies significantly affects growth efficiency, reduction in production cost, and improving environmental conditions. It also suggests that the cost of electricity-generating technologies, combined with technology mixture, is the key factor behind replacing existing technology in the electricity sector. EPRI cost assessments expanded by around 30% and 50% during 2015-2016. Factors like competition amongst power plant owners, the ambiguous marketplace, production procedures, and lack of environment-related strategies have resulted in massive environmental degradation in developing economies like Pakistan. Based on empirical findings, this study recommends designing efficient technologies, which would reduce power plant costs and ensure vertical prospects related to environmental conditions in the future.

Indexed as

Power PlantsSustainable DevelopmentElectricityInternationalityPakistanTechnologyCost of power plantsGlobal Change Assessment Model (GCAM)Integrated assessment modelTechnology cost electricity sector modeling

Identifiers

PMID33113061
OpenAlexW3095618482

What OpenQuestion holds

Textmetadata
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.