Evidence map›Paper›PMID 39397983›Full record

ArticleHeliyon2024

Foreign waste ban and green development of Chinese manufacturing industry: Comprehensive evidence based on provincial data.

Yanting Li, Xiaozhe Li, Fayyaz Ahmad

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yanting LiSchool of Economics, Lanzhou University, Lanzhou, 730000, Gansu, China.
Xiaozhe LiSchool of Economics, Lanzhou University, Lanzhou, 730000, Gansu, China.
Fayyaz AhmadSchool of Economics, Lanzhou University, Lanzhou, 730000, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the reform and opening up, imported solid wastes have pushed China's economic growth while also bringing about serious environmental problems. In this context, China has introduced a ban on "foreign waste" for imported solid waste. Based on the provincial panel data from 2010 to 2020, this paper calculates the Green Total Factor Productivity (GTFP) of the manufacturing industry to measure the level of green development of the manufacturing sector, and evaluates the comprehensive impact of the "foreign waste" ban on the green development of the manufacturing industry by using the continuous Difference-in-Differences method. The study finds that the foreign waste ban greatly promotes the greening of China's manufacturing sector, mechanism analysis shows that foreign waste ban stimulates innovation by innovation effects and increases production cost by cost effects, and the policy effect has heterogeneity as it is more prominent in coastal areas, areas with a lower proportion or a higher level of green development. This result suggests that the promotion of domestic solid waste recycling should be accompanied by further guidance on efficient factor mobility, with different measures based on regional heterogeneity.

Indexed as

Environmental regulationForeign wasteGTFPSolid waste imports

Identifiers

PMID39397983
PMCPMC11470518

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.