Evidence map›Paper›PMID 32253692›Full record

ArticleEnvironmental science and pollution research international2020

Does environment-biased technological progress reduce CO

Guanglei Yang, Donglan Zha, Chaoqun Zhang, Qian Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
10.4field-weighted citation impact, top 2% of its field
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

3 citing papers in PubMed, 49 citations in OpenAlex.

  1. Is Technological Progress Selective for Multiple Pollutant Emissions?International journal of environmental research and public health · 2021
    Article
  2. Article
  3. 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

4 authors at 1 institution in 1 country.

Guanglei YangCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.
Donglan ZhaCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China. zdl@nuaa.edu.cn.
Chaoqun ZhangCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.
Qian ChenCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.
Nanjing University of Aeronautics and Astronautics · CN

Funding

Fundamental Research Funds for the Central Universities (CN) NE2018105National Natural Science Foundation of China 71673134
6 · The paper itself

Abstract

Environment-biased technological progress plays a critical role in carbon reduction, while the association among environment-biased technological progress, energy consumption, and carbon emissions has not been paid enough attention. Working with a unique spatial panel dataset of APEC economies spanning the 2000-2017 period, we employed the nonspatial panel model and the spatial panel model to investigate the role of fossil energy (FE) and clean energy (CE) consumption in carbon dioxide (CO

Indexed as

Carbon DioxideEconomic DevelopmentFossilsPolicyTechnologyCarbon DioxideClean energyCO2 emissionsCounterfactual simulationEnvironment-biased technological progressSpatial panel model

Identifiers

PMID32253692
OpenAlexW3014808973

What OpenQuestion holds

Textmetadata
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.