Evidence map›Paper›PMID 34227007›Full record

ArticleEnvironmental science and pollution research international2021

Assessment on the interaction between technology innovation and eco-environmental systems in China.

Rui Yang, Xin Miao, Christina W Y Wong, Teng Wang, Mengjin Du

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2021. 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
–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

1 citing paper in PubMed.

  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.

Rui YangSchool of Management, Harbin Institute of Technology, Harbin, 150001, China.
Xin MiaoSchool of Management, Harbin Institute of Technology, Harbin, 150001, China. miaoxin@hit.edu.cn.
Christina W Y WongBusiness Division, The Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong.
Teng WangSchool of Business Administration, Northeastern University, Shenyang, 110006, China.
Mengjin DuSchool of Management, Harbin Institute of Technology, Harbin, 150001, China.

Funding

Hong Kong Polytechnic University SB1F and ZJM2Research Grants Council of Hong Kong Special Administration Region GRF PolyU 152031/17Bthe Chunhui Plan Cooperative Research Project Foundation of Ministry of Education of China HLJ2019002
6 · The paper itself

Abstract

To investigate the latent relation between technology innovation and eco-environmental systems and promote their coordinated development, we integrated the coupling coordination model and panel vector autoregressive model to examine the evidence from China. The research reveals that the technology innovation benefit and eco-environmental governance and endowment are the prominent factors for optimizing the two systems. Moreover, the findings show that the coupling coordination degree of eco-environment and technology innovation in China presents an upward trend. In terms of the dynamic interaction between technology innovation and eco-environment, the influence of the former on the latter is timely while that of the latter on the former is lagging (except for the central region). The weak coupling coordination degree implies that the mutual promotion of technology innovation and eco-environmental systems has not yet formed. The policy implications are proposed accordingly to promote coordinated development of eco-environment and technology innovation in China.

Indexed as

Conservation of Natural ResourcesEnvironmental PolicyChinaEconomic DevelopmentInventionsChinaCoupling coordination model (CCM)Eco-environmentPanel vector autoregressive (PVAR) modelRegional disparitiesSystemsTechnology innovation (TI)

Identifiers

PMID34227007

What OpenQuestion holds

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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.