Evidence map›Paper›PMID 32840751›Full record

ArticleEnvironmental science and pollution research international2021

Dynamic interactive links among sustainable energy investment, air pollution, and sustainable development in regional China.

Munir Ahmad, Abbas Ali Chandio, Yasir Ahmed Solangi, Syed Ahsan Ali Shah, Farrukh Shahzad, Abdul Rehman, Gul Jabeen

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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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. The Effect of Air Pollution Control Auditing on Reducing Carbon Emissions: Evidence from China.International journal of environmental research and public health · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Influencing factors and decoupling analysis of carbon emissions in China's manufacturing industry.Environmental science and pollution research international · 2021
    Article
  14. Article
  15. Article
  16. The objects, agents, and tools of Chinese co-governance on air pollution: a review.Environmental science and pollution research international · 2021
    Review
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

7 authors.

Munir AhmadSchool of Economics, Zhejiang University, Hangzhou, 310058, China. munirahmad@zju.edu.cn.
Abbas Ali ChandioCollege of Economics, Sichuan Agricultural University Chengdu, Chengdu, China.
Yasir Ahmed SolangiSchool of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China.
Syed Ahsan Ali ShahSchool of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China.
Farrukh ShahzadSchool of Economics and Management, Guangdong University of Petrochemical Technology, Guangdong, China.
Abdul RehmanCollege of Economics and Management, Henan Agricultural University, Zhengzhou, China.
Gul JabeenSchool of Economics and Management, North China Electric Power University, Beijing, 102206, China. guljabeen@ncepu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research investigates the dynamic interactive associations among sustainable investment in the energy sector, air pollution, and sustainable development. To this end, it employs a "one-step" system-generalized method of moments (GMM) and "one-step" differential-GMM estimators, covering the period between 1996 and 2017. In this context, it utilizes the simultaneous equations of the dynamic panel data model for panel data of 27 Chinese provinces and municipalities. We have developed a new model of sustainable development, which incorporates sustainable investment in the energy sector and air pollution to offer a robust theoretical foundation for considering the underlying relations. The system-GMM estimator is used for the full data set; however, differential-GMM is utilized for the subsets of data, in order to tackle the small sample bias problem. The empirical outcomes provide several vital insights in that they yield mixed findings for the aggregated sample and subsets of data. For example, a two-way causal relationship occurs for all the panels, except the central part (medium development regions), between sustainable investment in the energy sector and sustainable development. Contrary to this, causality runs from air pollution to sustainable investment in the energy sector in a full data set and the central part (medium dev.). Nevertheless, the opposite is true in the case of the eastern part (most developed regions) of China. Still, the same relationship runs in either direction in the case of the western part (least developed regions). On the other way around, the feedback hypothesis of causality is confirmed, across all the samples, between air pollution and sustainable development. Hence, sustainable development and air pollution are overwhelmingly interdependent, in the country as well as the province and municipality level of the Chinese economy.

Indexed as

Air PollutionEconomic DevelopmentChinaCitiesRenewable EnergySustainable DevelopmentAir pollutionDisaggregated analysisGeneralized method of momentsSustainable developmentSustainable investment in energy sector

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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.