Evidence map›Paper›PMID 42547521›Full record

ArticleScientific reports2026

Spatiotemporal evolution and influencing factors of the coupling coordination between Agricultural Digitalization and Agricultural New Quality Productive Forces.

Yuan Wang, Xiaoyuan Zhao, Chengxue Yang, Min Su

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yuan WangSchool of Business, Jiangsu University of Science and Technology, No. 8 Changxing Middle Road, Zhangjiagang City, Suzhou, 215600, Jiangsu, China.
Xiaoyuan ZhaoSchool of Business, Jiangsu University of Science and Technology, No. 8 Changxing Middle Road, Zhangjiagang City, Suzhou, 215600, Jiangsu, China. 202300000139@just.edu.cn.
Chengxue YangSchool of Social Sciences, Singapore Management University, No.81, Victoria Street, Singapore, 188065, Singapore.
Min SuSchool of Business, Jiangsu University of Science and Technology, No. 8 Changxing Middle Road, Zhangjiagang City, Suzhou, 215600, Jiangsu, China.

Funding

2024 General Projects for Philosophy and Social Sciences Research in Higher Education Institutions 2024SJYB1099Yunnan Provincial Department of Science and Technology Key R&D Program Social Special Project 202403AC100042
6 · The paper itself

Abstract

The mutually reinforcing and coordinated development of Agricultural Digitalization (AD) and Agricultural New Quality Productive Forces (ANQPF) is an important path to achieving the modernization of agriculture and rural areas. Utilizing panel data from 31 provinces spanning 2012 to 2023, this study employs an Improved Coupling Coordination Degree Model (ICCDM), an Obstacle Degree Model (ODM), and a Random Effects Panel Tobit Model to investigate the spatiotemporal evolution patterns and the internal and external determinants of the Coupling Coordination Degree (CCD) between AD and ANQPF. The results indicate that: (1) From 2012 to 2023, both AD and ANQPF exhibited a steady upward trend, yet their overall development levels remained relatively low. (2) During this period, the CCD between the two systems evolved from moderately uncoordinated development to barely coordinated development, forming a distinct spatial pattern characterized by "the Eastern region leading, the Central region tackling key challenges, and the Western region catching up." (3) Internet penetration rate, leisure agriculture, and other factors are key obstacles affecting the coupling coordination, displaying heterogeneous characteristics across different regions. (4) Economic Development Level, Agricultural Development Level, Rural Consumption Level, Fiscal Support Intensity, Openness To Foreign Trade, and Agricultural Security Level significantly improve the CCD between AD and ANQPF, whereas Industrial Development Level has a significant negative effect on the CCD. Furthermore, external influencing factors demonstrated notable regional variations. Consequently, implementing targeted policies and region-targeted guidance represents an imperative pathway for fostering the coordinated development of AD and ANQPF.

Indexed as

Agricultural DigitalizationAgricultural New Quality Productive ForcesImproved Coupling Coordination Degree ModelRandom effects panel Tobit modelTargeted policy

Identifiers

PMID42547521
PMCPMC13434777

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Registered trials

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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.