CoChat
Sign Up
Cited by 113Energy, Environment, Economic GrowthClimate Change Policy and EconomicsRenewable energy and sustainable power systems

The DOI matches its Crossref record; 65 of the 66 references it cites were found in a registry or an index.

BRICS carbon neutrality target: Measuring the impact of electricity production from renewable energy sources and globalization

Juan lin, Shen, Yijuan, Li, Xin, Hasnaoui, Amir·2021·Journal of Environmental Management
DOI 10.1016/j.jenvman.2021.113460
Open this paper in CoChat — free account

Abstract

Globally, the issues of climate change and global warming rapidly rises due to extensive CO 2 emission. In this regard, countries across the globe initiate policies to combat CO 2 emissions and attain a carbon neutrality target. As an emerging research area, the current study investigated carbon neutrality targets for BRICS economies (excluding Russia) covering the period from 1980 to 2018. This study covers important variables that influence both the economy and energy. Considering the role of electricity production from renewable energy and globalization, this study also checked for the role of income and renewable energy consumption. Various second-generation unit root and cointegration tests are used for the panel data to observe the stationarity and long-run relationship among these variables. Also, the DOLS and FMOLS are employed for the long-run estimation. Additionally, the article utilizes fixed effect and random effect models. This study also utilizes the augmented mean group (AMG) to confirm the prior findings. The empirical findings present evidence of the validity of the environmental Kuznets curve (EKC) hypothesis in the region. Moreover, the findings suggest that income and globalization play a positive role in carbon dioxide emission, which negatively influences the carbon neutrality target. However, electricity production from renewable energy and renewable energy consumption is efficient for achieving carbon neutrality targets. Specifically, the AMG estimates reveal that a percent increase in GDP and globalization increases 1.087 and 0.0342 % CO 2 emissions while a unit increase in renewable electricity production and renewable energy consumption declines CO 2 emissions by 0.0205 and 0.0143 %, respectively. The results are found robust and significant. Based on the empirical findings, policy implications are provided that would lead the BRICS region to attain the carbon neutrality target by revising the policies concerning globalization and economic growth. Also, proper attention should be paid to renewable energy electricity adaptation.

Overview

Integrity signals

Registry

Crossref · 10.1016/j.jenvman.2021.113460

Cites

65 of 65 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Research works printed but not linked: 7

  1. Le, 2020, Renewable and nonrenewable energy consumption, economic growth, and emissions: international evidence, Energy J., 41, 10.5547/01956574.41.2.thle · DOI
  2. Masson-Delmotte, 2018, Summary for policymakers, Glob. Warm. Of, 1, 1
  3. Pesaran, 2007, A simple panel unit root test in the presence of cross‐section dependence, J. Appl. Econom., 22, 265, 10.1002/jae.951 · DOI · Paper page
  4. Phillips, 1988, Testing for a unit root in time series regression, Biometrika, 75, 335, 10.1093/biomet/75.2.335 · DOI
  5. Sovacool, 2020, Differences in carbon emissions reduction between countries pursuing renewable electricity versus nuclear power, Nat. Energy, 5, 928, 10.1038/s41560-020-00696-3 · DOI
  6. Westerlund, 2007, Testing for error correction in panel data, Oxf. Bull. Econ. Stat., 69, 709, 10.1111/j.1468-0084.2007.00477.x · DOI · Paper page
  7. Westerlund, 2007, Testing for error correction in panel data, Oxf. Bull. Econ. Stat., 69, 709, 10.1111/j.1468-0084.2007.00477.x · DOI · Paper page

Cited by

Sorted by citations

See all 113

Related

See all

Metadata

Authors
lin, J., Shen, Y., Li, X., & Hasnaoui, A.
Affiliations
  • Wuchang University of Technology (CN)
  • Qingdao University (CN)
  • Excelia Business School (FR)
Corresponding author
Li, Xin
ORCID
Venue
Journal of Environmental Management
Publisher
Elsevier BV
Published
2021-11
Volume
298
Pages
113460
ISSN
0301-4797 (ISSN-L)
DOI
10.1016/j.jenvman.2021.113460
OpenAlex
W3193686215
Cited by
112
References
66
Citations by year
2026: 7 · 2025: 20 · 2024: 21 · 2023: 27 · 2022: 33 · 2021: 4
FWCI
16.23
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Journal of Environmental Management (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Energy, Environment, Economic Growth
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Renewable energy and sustainable power systems
Keywords
carbon neutrality, CO2 emissions, renewable energy consumption, renewable electricity production, globalization, environmental Kuznets curve, economic growth, BRICS economies, climate policy, long-run relationship
MeSH terms
Carbon Dioxide, Electricity, Internationality, Economic Development, Renewable Energy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review