Evidence map›Paper›PMID 33175351›Full record

ArticleEnvironmental science and pollution research international2021

Threshold non-linear relationship between globalization, renewable energy consumption, and environmental degradation: evidence from smooth transition models.

Yushi Jiang, Asadullah Khaskheli, Syed Ali Raza, Muhammad Asif Qureshi, Maiyra Ahmed

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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

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

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

5 authors.

Yushi JiangSchool of Economics and Management, Southwest Jiaotong University, Chengdu, People's Republic of China.
Asadullah KhaskheliSchool of Economics and Management, Southwest Jiaotong University, Chengdu, People's Republic of China. asadullahkhas@swjtu.edu.cn.ORCID http://orcid.org/0000-0002-1720-8022
Syed Ali RazaDepartment of Management Sciences, IQRA University, Karachi, 75300, Pakistan. syed_aliraza@hotmail.com.
Muhammad Asif QureshiFaculty of Business Administration and Social Sciences, Mohammad Ali Jinnah University, Karachi, Pakistan.
Maiyra AhmedDepartment of Management Sciences, IQRA University, Karachi, 75300, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study intends to explore the following objectives: initially, to examine the non-linear connection between globalization, renewable energy consumption, and environmental degradation. Secondly, to evaluate the role of globalization in increasing or decreasing the carbon emission at the threshold level for different income countries. Panel smooth transition regression (PSTR) is an econometric technique that has been applied for estimation utilizing the data from 1995 to 2017. Results signify that the globalization and environmental degradation have non-linear connection and depends on different regimes. Moreover, on the basis of estimation, it is considered that the effect beyond the threshold level can be damaging, whereas less than the threshold level globalization is positively related to carbon emission. Hence, the inverted U-shaped relation denotes that at a specific level, the rise in globalization reduces carbon emission, but later, a specific level globalization accumulates carbon emission. Carbon emission has non-linear and regime-dependent relation to economic development and renewable energy consumption. The study provides recommendations that can assist policymakers.

Indexed as

Carbon DioxideRenewable EnergyCarbonEconomic DevelopmentInternationalityCarbonCarbon DioxideCarbon dioxide emissionGDPGlobalizationPSTR modelRenewable energy consumptionTrade openness

Identifiers

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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.