Evidence map›Paper›PMID 36294143›Full record

ArticleInternational journal of environmental research and public health2022

Measurement of China's Green Total Factor Productivity Introducing Human Capital Composition.

Can Cheng, Xiuwen Yu, Heng Hu, Zitian Su, Shangfeng Zhang

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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
1.4field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 16 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Can ChengSchool of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China.
Xiuwen YuSchool of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China.
Heng HuSchool of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China.
Zitian SuSchool of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China.
Shangfeng ZhangSchool of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China.
Zhejiang Gongshang University · CN

Funding

National Social Science Foundation 20&ZD133
6 · The paper itself

Abstract

In the face of resource and environmental problems caused by extensive economic development, China has put forward a green development strategy. Scientific measurement and analysis of green total factor productivity (GTFP) is of great significance for achieving high-quality economic development. By introducing the human capital composition, including education, health, scientific research, and training, this paper study adopts the Slack Based Measure-Global Malmquist-Luenberger (SBM-GML) index to re-measure the GTFP and its decomposition of 30 provinces, municipalities, and autonomous regions in China from 2000 to 2019. The results show that: (1) China's GTFP has a fluctuating growth trend, with an average annual growth rate of 2.31%. (2) In terms of its decomposition, technical progress is the main force driving GTFP growth, with a contribution rate of 1.59%; the improvement of technical efficiency is a secondary driving force, with a contribution rate of 0.71%. (3) The measurement results of GTFP, considering the human capital composition, are generally higher than those without consideration, and the GTFP growth under the two modes shows a trend of "high in the east and low in the west". The conclusions have enlightening significance for improving GTFP and the growth potential of the economy in China.

Indexed as

Economic DevelopmentEfficiencyChinaCitiesHumansgreen total factor productivityhuman capital compositionSBM-GML index

Identifiers

PMID36294143
PMCPMC9602896
OpenAlexW4306849914

What OpenQuestion holds

Textmetadata
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.