Evidence map›Paper›PMID 34886436›Full record

ArticleInternational journal of environmental research and public health2021

Spatio-Temporal Effects of Multi-Dimensional Urbanization on Carbon Emission Efficiency: Analysis Based on Panel Data of 283 Cities in China.

Zhanhang Zhou, Linjian Cao, Kuokuo Zhao, Dongliang Li, Ci Ding

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. How Does City Size Affect the Cost of Household Travel? Evidence from an Urban Household Survey in China.International journal of environmental research and public health · 2022
    Article
  4. Sustainable Growth Drivers: Unveiling the Role Played by Carbon Productivity.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

5 authors.

Zhanhang ZhouSchool of Economics and Management, Tianjin Chengjian University, Tianjin 300384, China.
Linjian CaoSchool of Economics and Management, Tianjin Chengjian University, Tianjin 300384, China.
Kuokuo ZhaoSchool of Management, Guangzhou University, Guangzhou 510006, China.ORCID 0000-0002-2412-8231
Dongliang LiSchool of Economics and Management, Tianjin Chengjian University, Tianjin 300384, China.
Ci DingSchool of Economics and Management, Tianjin Chengjian University, Tianjin 300384, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Under the influence of complex urbanization, improving the carbon emission efficiency (CEE) plays an important role in the construction of low-carbon cities in China. Based on the panel data of 283 prefectural-level cities in China from 2005 to 2017, this study evaluated the CEE by the US-SBM model, and explored the spatial agglomeration evolution characteristics of CEE from static and dynamic perspectives by integrating ESDA and Spatial Markov Chains. Then, the spatial heterogeneity of the impacts of multi-dimensional urbanization on CEE were analyzed by using the Geographically and Temporally Weighted Regression (GTWR). The results show that: (1) with the evolution of time, the CEE has a trend of gradual improvement, but the average is 0.4693; (2) from the perspective of spatial static agglomeration, the "hot spots" of CEE mainly concentrated in Shandong Peninsula, Pearl River Delta, and Chengdu-Chongqing urban agglomeration; The dynamic evolution of CEE gradually forms the phenomenon of "club convergence"; (3) urbanization of different dimensions shows spatial heterogeneity to CEE. The impact of economic urbanization in northern cities on CEE shows an inverted "U" shape, and the negative impact of spatial urbanization on CEE appears in the northwest and resource-based cities around Bohai Sea. Population and social urbanization have a positive promoting effect on CEE after 2010. These findings may help China to improve the level of CEE at the city level and provide a reference for low-carbon decision-making.

Indexed as

CarbonUrbanizationChinaCitiesEconomic DevelopmentRiversCarboncarbon emission efficiencyGTWRSpatial Markov chainsurbanizationUS-SBM

Identifiers

PMID34886436
PMCPMC8656855

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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.