Evidence map›Paper›PMID 41186790›Full record

ArticleCarbon balance and management2025

The race against carbon footprint: how China's green technological innovation, tourism development and financial policies shape its ecological future.

Ren Xinyu, Muhammad Waqas, Muhammad Sibt-E-Ali

Abstract read
In one paragraph

Article in Carbon balance and management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Ren XinyuSchool of Management, Changchun University of Finance and Economics, Changchun, 130122, Jinlin, China.
Muhammad WaqasDepartment of Commerce, Bahauddin Zakaryia University, Mulatn, Pakistan. Maharwaqas67@gmail.com.
Muhammad Sibt-E-AliBusiness School, Zhengzhou University, Henan, China.

Funding

Jilin Province Science and Technology Development Plan Project "Digital Economy Enabling High-quality Development Path of Rural Tourism in Jilin Province" 20240701085FG
6 · The paper itself

Abstract

The global endeavor to combat climate change has elevated environmental sustainability to a critical priority, creating an urgent need for effective strategies to achieve it. This study examines the relationships between green technology innovation, tourism development, financial development, and economic growth on China's ecological footprint from 1995 to 2023. Using the Quantile Autoregressive Distributed Lag (QARDL) approach, this study analyzes asymmetric effects across different quantiles. The results show that green technology innovation reduces the ecological footprint at higher quantiles (β = -0.096 at the 95th), while tourism development increases environmental degradation, with coefficients ranging from - 0.428 at the 30th to - 0.262 at the 95th quantile. Financial development promotes sustainability at the middle quantiles, although effectiveness diminishes at higher levels. Economic growth worsens the ecological footprint (β = 0.652 at the 80th percentile). Short-run estimates show that tourism development has negative impacts, whereas green technology innovation reduces the footprint at higher quantiles. Moran's I indices indicate spatial dependence in tourism (0.85 in 2005) and financial development (0.78 in 2002), with green technology showing a weaker clustering. These findings necessitate differentiated provincial policies on eco-tourism, green technology adoption, and sustainable funding to reduce China's ecological footprint while balancing growth.

Indexed as

Ecological footprintFinancial developmentGreen technology innovationSustainable developmentTourism development

Identifiers

PMID41186790
PMCPMC12584373

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.