Evidence map›Paper›PMID 33774795›Full record

ArticleEnvironmental science and pollution research international2021

Achieving pro-poor growth and environmental sustainability agenda through information technologies: as right as rain.

Muhammad Imran, Khan Burhan Khan, Khalid Zaman, Mohammed Borhandden Musah, Elih Sudiapermana, Abdul Rashid Abdul Aziz, Rahimah Embong, Zainudin Bin Hassan, Mohd Khata Jabor, Siti Nisrin Mohd Anis

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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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Muhammad ImranDepartment of Economics, University of Wah, Quaid Avenue, Wah Cantt, Pakistan.
Khan Burhan KhanDepartment of International Business and Marketing (IB&M), NUST Business School, National University of Sciences and Technology (NUST), Islamabad, 44000, Pakistan.
Khalid ZamanDepartment of Economics, University of Haripur, Haripur Khyber Pakhtunkhwa, Pakistan. khalid_zaman786@yahoo.com.
Mohammed Borhandden MusahDepartment of Education Studies, Bahrain Teachers College, University of Bahrain, P. O. Box 32038, Sakheer, Kingdom of Bahrain.
Elih SudiapermanaDepartment of Community Education, Universitas Pendidikan Indonesia, Bandung, Jawa Barat, 40154, Indonesia.
Abdul Rashid Abdul AzizFaculty of Leadership and Management, Universiti Sains Islam Malaysia, 71800, Nilai, Negeri Sembilan, Malaysia.
Rahimah EmbongFaculty of Islamic Contemporary Studies, Universiti Sultan Zainal Abidin, Terengganu, Malaysia.
Zainudin Bin HassanFaculty of Social Sciences & Humanities, Universiti Teknologi Malaysia (UTM), 81310, Skudai, Johor, Malaysia.
Mohd Khata JaborFaculty of Social Sciences & Humanities, Universiti Teknologi Malaysia (UTM), 81310, Skudai, Johor, Malaysia.
Siti Nisrin Mohd AnisFaculty of Social Sciences & Humanities, Universiti Teknologi Malaysia (UTM), 81310, Skudai, Johor, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pro-poor growth and environmental sustainability are the twin agendas widely discussed in environmental science literature. The technology-embodied growth helps to attain both agendas through knowledge sharing and technology transfer, which trickle down to the poor income group and improve their living standards. Hence, the role of information and communication technologies (ICTs) is deemed crucial in boosting economic growth and is under deep consideration to establish its role in reducing poverty and environmental pollution. The current study examines the long-run relationship between ICTs, poverty reduction, and ecological degradation in Pakistan using time series data from 1975-2018. The short- and long-run parameter estimates were obtained through the Autoregressive Distributed Lag (ARDL) model for robust inferences. The results substantiate the inverted U-shaped Environmental Kuznets Curve relationship between income and emissions with a turning point at US$1000 in the short-run and US$800 in the long-run. The results confirmed the decisive intervention of ICTs factors in the poverty reduction, i.e., computer communications and mobile-telephone-broadband subscriptions support to reduce poverty incidence with the mediation of inbound FDI in a country. As far as income inequality is concerned, it shows that computer services support minimizing income inequality via a channel of high-technology exports in a country. The technology embodied emissions verified in the long-run, where mobile-telephone-broadband subscriptions increase carbon emissions. Finally, mobile-telephone-broadband subscriptions and inbound FDI both are significant contributors to amplify the country's economic growth. The results conclude that poverty reduction and environmental sustainability agenda are achieved by developing green ICT infrastructure in a country.

Indexed as

Carbon DioxideInformation TechnologyEconomic DevelopmentEnvironmental PollutionRainCarbon DioxideARDL bounds estimatorCarbon emissionsEconomic growthICTsIncome inequalityPakistanPoverty reduction

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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.