Evidence map›Paper›PMID 38198082›Full record

ArticleEnvironmental science and pollution research international2024

Fintech, green imports, technology, and FDI inflow: their role in CO2 emissions reduction and the path to COP26: a comparative analysis of China.

Qi Guo, Chengyuan Yin

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Article in Environmental science and pollution research international, 2024. 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

2 authors.

Qi GuoCollege of Social Sciences, University of Glasgow, Glasgow, Britain, G128QQ, UK.
Chengyuan YinSchool of Economics, Hebei University, Baoding, 071002, China. yinchengyuan2023@126.com.ORCID http://orcid.org/0009-0008-5033-6457

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study uses a nonlinear autoregressive distributed lag (NARDL) model to investigate the relationships between CO2 emissions, green energy imports, foreign direct investment (FDI) inflow, and financial technology (fintech) in China. It examines both short- and long-term asymmetries, reflecting the positive and negative effects of variables of interest on CO2 emissions. The results indicate that increasing fintech and green energy imports will decrease environmental pollution, as fintech and green technology negatively affect CO2 emissions in a positive shock and have positive effects in a negative shock. We also found that imports negatively affected CO2 emissions in the context of green energy imports. However, FDI inflows have conflicting outcomes, being positively beneficial during positive shocks and adversely significant during negative shocks. Moreover, green energy imports led to a considerable increase in CO2 emissions during negative shocks. These findings highlight the importance of considering economic factors when developing environmental regulations. Policy recommendations for COP26 include fostering sustainable fintech innovation, investing in green technology research, bolstering renewable energy imports, and improving climate legislation to build a greener and more sustainable future for China.

Indexed as

Carbon DioxideEconomic DevelopmentChinaEnvironmental PollutionInvestmentsRenewable EnergyTechnologyCarbon DioxideCO2 emissionsFDI inflowFintechGreen energy importsGreen technology

Identifiers

What OpenQuestion holds

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Registered trials

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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.