Evidence map›Paper›PMID 33026625›Full record

ArticleEnvironmental science and pollution research international2021

A study on China's economic growth, green energy technology, and carbon emissions based on the Kuznets curve (EKC).

Yu Sun, Mingxing Li, Mengjuan Zhang, Hira Salah Ud Din Khan, Jiaqiu Li, Zeyu Li, Hongzheng Sun, Yue Zhu, Oswin Aganda Anaba

Abstract read
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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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  9. Digital Economy and Environmental Quality: Insights from the Spatial Durbin Model.International journal of environmental research and public health · 2022
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  12. Review
  13. Research on the impact of energy technology innovation on total factor ecological efficiency.Environmental science and pollution research international · 2022
    Article
  14. Article
  15. Does trade openness mitigate the environmental degradation in South Africa?Environmental science and pollution research international · 2022
    Article
  16. Article
  17. Article
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  19. Article
  20. 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

9 authors.

Yu SunSchool of Finance and Economics, Jiangsu University, Zhenjiang, 212013, People's Republic of China.
Mingxing LiSchool of Management, Jiangsu University, Zhenjiang, 212013, Jiangsu, People's Republic of China.
Mengjuan ZhangSchool of Management, Jiangsu University, Zhenjiang, 212013, Jiangsu, People's Republic of China.
Hira Salah Ud Din KhanSchool of Management, Jiangsu University, Zhenjiang, 212013, Jiangsu, People's Republic of China.
Jiaqiu LiFaculty of Science, Jiangsu University, Zhenjiang, 212013, People's Republic of China.
Zeyu LiJingjiang College of Jiangsu University, Zhenjiang, 212013, People's Republic of China.
Hongzheng SunSchool of Management, Jiangsu University, Zhenjiang, 212013, Jiangsu, People's Republic of China.
Yue ZhuSchool of Management, Jiangsu University, Zhenjiang, 212013, Jiangsu, People's Republic of China.
Oswin Aganda AnabaSchool of Management, Jiangsu University, Zhenjiang, 212013, Jiangsu, People's Republic of China. oswinaganda@yahoo.com.

Funding

Chongqing Postdoctoral Science Special Foundation (CN) 2018T110242Jiangsu Postgraduate Scientific Research Innovation Project B1810012National Natural Science Foundation of China grant number 7167031130Postdoctoral Science Foundation of Jiangsu Province 2016M590251Social Science Funding Project of Jiangsu Province 18GLB024Social Science Funding Project of Jilin Province 2017B141
6 · The paper itself

Abstract

China's rapid economic development is unavoidably characterized by environmental pitfalls, especially the carbon dioxide emissions of greenhouse gases from the use of energy. Since there is a relationship between economic growth, energy consumption, and carbon emission, it is important to note that the continuous improvement and application of solar energy technology will play an active role in carbon emission reduction. Therefore, this paper uses the Kuznets curve to probe the relationship between economic growth, solar energy technology, and carbon emissions. The results show that solar energy technology, economic development level, and carbon emissions are all integrated at the second order with a long-run cointegration relationship. In the long-run, the relationship between economic growth and carbon emissions is inverted "U," which suggest that there is a turning point of carbon emissions, where the carbon emissions first increase with economic growth and then gradually decrease, which is reflected in the image as an inverted "U" curve. Also, the impact of economic factors on carbon emissions and the innovation of solar technology can negatively influence carbon emissions, and enhancing the innovation of solar technology has a positive effect on reducing carbon dioxide emissions.

Indexed as

Economic DevelopmentGreenhouse GasesCarbon DioxideChinaTechnologyCarbon DioxideGreenhouse GasesCarbon emissionExistence test of Kuznets curve (EKC)Granger causalitySolar energyTechnology

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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.