Evidence map›Paper›PMID 32279259›Full record

ArticleEnvironmental science and pollution research international2020

The influence of consumers' intention factors on willingness to pay for renewable energy: a structural equation modeling approach.

Muhammad Irfan, Zhen-Yu Zhao, Heng Li, Abdul Rehman

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Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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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

14 citing papers in PubMed.

  1. Article
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  3. Sustainable impact of COVID-19 on education projects: aspects of naturalism.Environmental science and pollution research international · 2022
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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

4 authors.

Muhammad IrfanBeijing Key Laboratory of New Energy and Low Carbon Development, School of Economics and Management, North China Electric Power University, Beijing, 102206, China. irfan@ncepu.edu.cn.
Zhen-Yu ZhaoBeijing Key Laboratory of New Energy and Low Carbon Development, School of Economics and Management, North China Electric Power University, Beijing, 102206, China. zhaozhenyuxm@263.net.
Heng LiDepartment of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China.
Abdul RehmanCollege of Economics and Management, Henan Agricultural University, Zhengzhou, China.

Funding

Natural Science Foundation of Beijing Municipality 8192043
6 · The paper itself

Abstract

As the adoption of renewable power generation technologies (RPTs) is a complex and multidimensional process influenced by a variety of factors, it provokes traction among researchers to identify these influencing factors. This study aims to investigate the impact of consumers' intention factors on willingness to pay (WTP) for renewable energy (RE) in Pakistan. The current research has contributed through expanding the theoretical framework of the theory of planned behavior by adding two new constructs, i.e., belief about RE cost and environmental concern to better understand consumers' intentions towards adoption or prohibition of RPTs. Findings are based on the primary data gathered from 349 residents in the five major cities of Pakistan including, Karachi, Lahore, Faisalabad, Rawalpindi, and Multan by conducting a comprehensive survey. Structural equation modeling was employed for data analysis purposes. Research results indicate that the influencing factors such as attitude, subjective norms, and perceived behavioral control positively moderate the relationship between consumer's intention and WTP for RE, belief about RE cost has a negative effect, while environmental concern did not find to have a significant effect. Based on research findings, this study offered essential policy recommendations to fulfill the country's energy needs on its way to a future of sustainable development.

Indexed as

IntentionLatent Class AnalysisCitiesConsumer BehaviorPakistanRenewable EnergySurveys and QuestionnairesConsumers’ intentionPakistanRenewable power generation technologiesStructural equation modelingWillingness to pay for renewable energy

Identifiers

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Registered trials

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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.