Evidence map›Paper›PMID 36294185›Full record

ArticleInternational journal of environmental research and public health2022

Corporate Digital Transformation and Green Innovation: A Quasi-Nature Experiment from Integration of Informatization and Industrialization in China.

Qincheng Zhang, Mingzeng Yang, Shanshan Lv

Abstract 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
–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. Article
  4. 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.

Qincheng ZhangSchool of Accountancy, Shandong University of Finance and Economics, Jinan 250014, China.
Mingzeng YangSchool of Accountancy, Shandong University of Finance and Economics, Jinan 250014, China.
Shanshan LvCollege of Foreign Languages, Shandong Agricultural University, Tai'an 271018, China.

Funding

MOE (Ministry of Education in China) Project of Humanities and Social Sciences- Youth Fund Program 22YJC790165Shandong Provincial Natural Science Foundation ZR2022QG031Social Science Planning Project of Shandong Province 21CKFJ13
6 · The paper itself

Abstract

In the era of the digital economy, the rise and application of digital technologies have led to a series of systematic changes and disruptive innovations within enterprises. Based on the quasi-natural experiment of "Integration of Informatization and Industrialization", this paper examines the economic consequences of digital transformation from the standpoint of corporate green innovation, utilizing China's listed manufacturing firms as the research object. Using the DID model, it is discovered that through the implementation of corporate digital transformation, the output of green innovation increases significantly. The conclusions are still robust when using the parallel trend test, PSM-DID, placebo test, and the test of deleting the sample entering the pilot in the current year. Extended analyses find that corporate digital transformation has a greater effect on green innovation in regions with weaker digital economy, in industries with less rivalry, and in firms with larger size. The conclusions of this paper not only advance research on digital transformation and its economic consequences, but also provides theoretical proof and practical insights for advancing corporate digital transformation and enhancing the green development system.

Indexed as

Industrial DevelopmentIndustryChinaCommerceDIDdigital transformationgreen innovationIntegration of Informatization and Industrialization

Identifiers

PMID36294185
PMCPMC9603148

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.