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Record W4301595308 · doi:10.3389/fenvs.2022.1013326

How does financial inclusion affect environmental degradation in the six oil exporting countries? The moderating role of information and communication technology

2022· article· en· W4301595308 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFrontiers in Environmental Science · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEnergy, Environment, Economic Growth
Canadian institutionsnot available
Fundersnot available
KeywordsFinancial inclusionEnvironmental degradationQuantile regressionKuznets curveBusinessPopulationInformation and Communications TechnologyEnvironmental economicsNatural resource economicsEconomicsEconomic growthEconometricsFinanceFinancial servicesEnvironmental health

Abstract

fetched live from OpenAlex

Progress in financial inclusion has played a major role in economic development and poverty reduction. However, the environmental impact of financial inclusion calls for urgent implementation of environmental strategies to mitigate climate change. Financial inclusion forces the policies of developed countries to advance and not affect the present and future development of developing countries. Therefore, the current study aims to investigate the direct effects of information and communication technology (ICT) usage on environment as well as its moderating role on the association between financial inclusion and environmental degradation for six oil exporting countries (United Arab Emirates, Saudi Arabia, Russia, Kuwait, Canada, and the United States), using annual panel data from 1995 to 2019. We also analyze the validity of the environmental Kuznets curve (EKC) phenomenon for the entire sample, as well as the role of energy consumption and population. Employing the Method of Moments Quantile Regression (MMQR) with fixed effects, this study supported the existence of EKC phenomenon here as linkage amid human development index and carbon intensity. We find that energy consumption significantly increases carbon intensity. The empirical results showed that the application of internet- and mobile use as indicators of ICT usage lead to environmental preservation in the six oil exporting economies. Also, we observe that financial inclusion has mitigating effects on pollutant emissions, contributing to environmental preservation. Interaction between ICT usage and financial inclusion jointly reduces carbon intensity in all quantile distributions. A robustness check using an alternative proxy of the financial inclusion also confirms that ICT usage significantly and negatively moderates the association between financial inclusion and carbon intensity. Based on the findings of this study, the selected oil exporting countries should integrate financial inclusion with environmental policies to reduce carbon intensity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.164
Teacher spread0.160 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it