Cited by 700Energy, Environment, Economic GrowthClimate Change Policy and EconomicsRenewable energy and sustainable power systems

CO2 emissions, economic and population growth, and renewable energy: Empirical evidence across regions

Dong, Kangyin, Hochman, Gal, Zhang, Yaqing, Sun, Renjin, Li, Hui, Liao, Hua·2018·Energy Economics

Integrity signals

Registry

Crossref · 10.1016/j.eneco.2018.08.017

Cites

78 of 78 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

We couldn’t retrieve this paper’s full text, 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?

  • Empirical findings from GMM and DOLS may not be robust because of cross-sectional dependence and slope homogeneity.

    “their empirical findings from an estimation approach (GMM, DOLS) might not be robust because of the presence of cross-sectional dependence and slope homogeneity (Dong et al., 2018;Kar, Nazlioǧlu, & Aǧ;ir, 2011).”

    From Does financial development matter for economic growth in the emerging markets? (2022) · cites this paper as Dong et al., 2018

  • Liquid hydrogen will play a key role in the transition away from fossil fuels.

    “Liquid hydrogen (LH 2 ) [1][2][3] will play a key role in this transition [4] as it is clean-burning and can function as a store of energy generated from zero-or low-carbon sources, such as renewables or natural gas combined with carbon capture and storage.”

    From Modelling of Liquid Hydrogen Boil-Off (2022) · cites this paper as [4]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Dong, K., Hochman, G., Zhang, Y., Sun, R., Li, H., & Liao, H.
Affiliations
  • Rutgers, The State University of New Jersey (US)
  • China University of Petroleum, Beijing (CN)
  • Beijing Institute of Technology (CN)
Corresponding author
  • Dong, Kangyin
  • Sun, Renjin
Venue
Energy Economics
Publisher
Elsevier BV
Published
2018-09
Volume
75
Pages
180-192
ISSN
0140-9883 (ISSN-L)
OpenAlex
W2888552864
Cited by
700
References
78
Citations by year
2026: 41 · 2025: 97 · 2024: 91 · 2023: 144 · 2022: 134 · 2021: 99 · 2020: 56 · 2019: 37 · 2018: 1
FWCI
68.94
Type
journal article
Language
en
Open access
closed
Locations
  • Energy Economics (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
National Social Science Foundation of China (17BGL014)
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
CO2 emissions, economic growth, population growth, renewable energy, cross-sectional dependence, regional heterogeneity, environmental Kuznets curve

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