Evidence map›Paper›PMID 34642883›Full record

ArticleEnvironmental science and pollution research international2022

Nonlinear impact of municipal solid waste recycling and energy efficiency on environmental performance and economic growth: evidence from non-parametric causality-in-quantiles.

Sun Guoyan, Asadullah Khaskheli, Syed Ali Raza, Maiyra Ahmed

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Investigating asymmetric impacts of total factor energy efficiency on carbon emissions in India.Environmental science and pollution research international · 2023
    Article
  3. 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

4 authors.

Sun GuoyanSchool of Accounting, Nanjing Audit University, Nanjing, People's Republic of China.
Asadullah KhaskheliSchool of Management, Hainan University, Haikou, People's Republic of China. asadullahkhas@hotmail.com.ORCID http://orcid.org/0000-0002-1720-8022
Syed Ali RazaDepartment of Business Administration, IQRA University, Karachi, 75850, Pakistan.
Maiyra AhmedDepartment of Business Administration, IQRA University, Karachi, 75300, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Waste recycling significantly contributes to reducing carbon emissions and other greenhouse gases, leading to enhanced environmental performance and safeguards natural resources. Therefore, this study examines municipal solid waste recycling and energy efficiency's impact on the environmental performance and economic well-being of the USA. Some studies have emphasized the usefulness of MSW and its indicators, but most of them are survey-based and illustrate the scientific process of disposing of waste. Hence, the study intends to analyze the connection among considered variables using the recently developed and advanced estimation procedure of nonparametric causality in quantile approach by analyzing the quarterly dataset for 1990(Q1) till 2018(Q4). Through this technique, we have examined the causal relationships in different quantiles. The causality-in-quantile outcome indicates the acceptance of the null hypothesis in different quantiles, especially at low and high tail quantiles, while at some quantiles, the null hypothesis rejection is highlighted. This study suggests valuable implications for future studies, government, environmentalists, and policymakers.

Indexed as

Refuse DisposalWaste ManagementConservation of Energy ResourcesEconomic DevelopmentRecyclingSolid WasteSolid WasteCarbon emissionCausality-in-quantileEnergy efficiencyEnvironmental performanceMunicipal solid waste recycling

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.