Evidence map›Paper›PMID 35565083›Full record

ArticleInternational journal of environmental research and public health2022

Regional Differences and Convergence of Inter-Provincial Green Total Factor Productivity in China under Technological Heterogeneity.

Chong Huang, Kedong Yin, Hongbo Guo, Benshuo Yang

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.3field-weighted citation impact, top 7% 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, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Spatial Distribution and Convergence of Agricultural Green Total Factor Productivity in China.International journal of environmental research and public health · 2022
    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 2 institutions in 1 country.

Chong HuangInstitute of Marine Economics and Management, Shandong University of Finance and Economics, Jinan 250014, China.ORCID 0000-0002-4312-0382
Kedong YinInstitute of Marine Economics and Management, Shandong University of Finance and Economics, Jinan 250014, China.
Hongbo GuoSchool of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China.
Benshuo YangSchool of Economics, Ocean University of China, Qingdao 266100, China.
Shandong University of Finance and Economics · CNOcean University of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Green development is an effective way to reconcile the main contradictions between resources, environment, and regional development. Green total factor productivity (GTFP) is an important index to measure green development; an undesirable output-oriented SBM-DEA model and GML model can be used to calculate GTFP. China's 30 provinces (municipalities and autonomous regions) are divided into three groups: eastern, central, and western. The common frontier function and group frontier function are established, respectively, to deeply explore the temporal and spatial evolution characteristics and center of gravity shift of inter-provincial green total factor productivity (GTFP) in China, and test the convergence under group frontier, to compare the convergence problems under different regions. This study aims to point out the differences in economic growth in different regions of China, foster regional coordination and orderly progress, promote China's green development process, and improve the high-quality economic development level. According to the results, the efficiency of green development is more reasonable under the frontier groups. The average TGR in the eastern region was 0.993, indicating that it reached 99.3% of the meta-frontier green development efficiency technology. The inter-provincial GTFP in China gradually increased, with an average value of 1.043, which means China's green development and ecological civilization construction have achieved remarkable results and the three regions showed significant differences. Judging from the shift path of the spatial center of gravity, the spatial distribution pattern of inter-provincial GTFP in China tends to be concentrated and stable as a whole. Moreover,

Indexed as

Economic DevelopmentEnvironmental PolicyChinaEfficiencyTechnologycluster cutting-edgeconvergencegravity-standard deviational ellipsegreen total factor productivitySBM-GML Index Model

Identifiers

PMID35565083
PMCPMC9104725
OpenAlexW4229336553

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.