Evidence map›Paper›PMID 36498420›Full record

ArticleInternational journal of environmental research and public health2022

How Big Data Affect Urban Low-Carbon Transformation-A Quasi-Natural Experiment from China.

Ning Xu, He Zhang, Tixin Li, Xiao Ling, Qian Shen

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
8.2field-weighted citation impact, top 3% 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

4 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Research Progress and Hotspot Analysis of Residential Carbon Emissions Based on CiteSpace Software.International journal of environmental research and public health · 2023
    Review
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 4 institutions in 1 country.

Ning XuSchool of Political Science and Public Administration, Henan Normal University, Xinxiang 453007, China.ORCID 0000-0002-8999-0690
He ZhangState Information Center, Beijing 100045, China.
Tixin LiSchool of Economics and Management, Kunming University, Kunming 650214, China.
Xiao LingSchool of Business, Hubei University, Wuhan 430062, China.
Qian ShenFinance Department, Guangdong University of Finance & Economics, Guangzhou 510320, China.
Guangdong University of Finance · CNHenan Normal University · CNKunming University · CNWuhan Business University · CN

Funding

Henan Provincial Philosophy and Social Science Planning Project 2021CJJ149
6 · The paper itself

Abstract

As a new factor of production, data play a key role in driving low-carbon and sustainable development relying on the digital economy. However, previous studies have ignored this point. Based on the panel data of 283 cities in China from 2007 to 2019, we investigated the construction of national big data comprehensive pilot zones (NBDCPZs) in China as a quasi-natural experiment, using the difference-in-differences (DID) model to empirically test the impact of NBDCPZ policies on urban low-carbon transformation. The following conclusions can be drawn: NBDCPZ construction significantly promotes urban low-carbon transformation, and a series of robustness analysis supports this conclusion. NBDCPZ constructions mainly promotes urban low-carbon transformation by stimulating urban green innovation and optimizing the allocation of urban resource elements. Compared with eastern cities, small and medium-sized cities, and resource-based cities, the construction of NBDCPZs can promote the low-carbon transformation of cities in central and western China, large cities, and non-resource-based cities. Further analysis shows that the construction of NBDCPZs can only improve the low-carbon transformation of local cities, with negative spatial spillover effects on the low-carbon transformation of surrounding cities. Therefore, in the future, it is vital to consider the promotion effect of the construction of NBDCPZs on the low-carbon transformation of local cities and prevent its negative impact on the low-carbon transformation of surrounding cities.

Indexed as

Automobile DrivingCarbonBig DataChinaCitiesEconomic DevelopmentSustainable DevelopmentCarbondifference-in-differences modelgreen innovationnational big data comprehensive pilot zoneresource elements allocationspatial spillover effecturban low-carbon transformation

Identifiers

PMID36498420
PMCPMC9740755
OpenAlexW4311672007

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.