Evidence map›Paper›PMID 36217508›Full record

ArticleCities (London, England)2022

Spatial governance for COVID-19 prevention and control in China's development zones.

Dongxue Li, Shengbo Zhao, Xingping Wang

Abstract read
In one paragraph

Article in Cities (London, England), 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
–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

3 citing papers in PubMed.

  1. 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

3 authors.

Dongxue LiSchool of Architecture, Southeast University, Si Pai Lou No. 2, Nanjing 210096, China.
Shengbo ZhaoSchool of Architecture, Southeast University, Si Pai Lou No. 2, Nanjing 210096, China.
Xingping WangSchool of Architecture, Southeast University, Si Pai Lou No. 2, Nanjing 210096, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mandatory policy networks are an important collaborative governance model for crisis response. To reveal the operation and effectiveness of public sector-led crisis governance at the development zone level, this study draws on collaborative governance theory to develop a theoretical framework that reveals the external constraints, collaborative dynamics, collaborative actions, and collaborative outcomes of crisis governance in development zones. Based on qualitative research methods, this study analyzes pandemic prevention policy documents issued during the pandemic by China's national economic and technological development zones and their localities to reflect the complete process of governance. The findings indicate that a mandatory policy network, guided by a local governance framework, facilitated the rapid achievement of collaboration in development zones in responding to the crisis. Top-down leadership developed over time in the public sector, and the responsiveness and innovation of enterprises and social organizations played an important role in collaborative governance. Wins at each stage of the governance process are necessary for the continuation of collaborative actions and can drive the adaptation of a collaborative approach in development zones.

Indexed as

ChinaCollaborative governanceCOVID-19Development zoneSpatial governance

Identifiers

PMID36217508
PMCPMC9534791

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.