Evidence map›Paper›PMID 42162105›Full record

ArticleScientific reports2026

Spatio-temporal evolution analysis of land-use carbon effects driven by new quality productive forces: a case study of Hubei province.

Xia Zhou, Yanwen Liu, Donghui Zhang, Senhao Liu, Yu Gao, Yurong Jiang

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.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xia ZhouSchool of Resources and Environment Science and Engineering, Hubei University of Science and Technology, Xianning, 437100, China.
Yanwen LiuSchool of Resources and Environment Science and Engineering, Hubei University of Science and Technology, Xianning, 437100, China. lhgyanzi@whu.edu.cn.
Donghui ZhangInstitute of Remote Sensing Satellite, China Academy of Space Technology, Beijing, 100094, China.
Senhao LiuSchool of Microelectronics and Communication Engineering, Chongqing University, Chongqing, 400044, China.
Yu GaoAerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing, 100101, China.
Yurong JiangSchool of Resources and Environment Science and Engineering, Hubei University of Science and Technology, Xianning, 437100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the spatiotemporal evolution and coupling relationship of land use carbon effects driven by new quality productive forces (NQPF) in Hubei Province, China, using remote sensing data (2000-2020) and socioeconomic statistics (2005-2020). An NQPF evaluation system comprising 19 indicators across three dimensions was constructed using a combined weighting method integrating entropy, coefficient of variation, CRITIC, and principal component analysis. The Tapio decoupling model and Moran's I spatial autocorrelation were employed to examine the NQPF-carbon emission relationship. Results indicated that: (1) Net carbon emissions increased from 4118.38 × 104 t to 19,867.15 × 104 t (382.4% growth), with construction land contributing 98.1% of total carbon sources by 2020. (2) The NQPF index rose from 0.152 to 0.860 (465.8% growth), with the "new objects of labor" dimension receiving the highest weight (0.5921), corroborating the green development-oriented nature of NQPF. (3) All three periods exhibited "weak decoupling," with elasticity coefficients declining from 0.740 to 0.261, indicating strengthening carbon constraints. (4) No significant spatial clustering was detected (|Z|< 1.96); riverside cities (Wuhan, Xiangyang, Yichang) formed "isolated high-emission centers" accounting for 54.2% of provincial emissions. This study pioneers the integration of NQPF theory into land use carbon research, providing scientific basis for regional low-carbon transition in central China.

Indexed as

Hubei ProvinceLand use carbon emissionsNew quality productive forces (NQPF)Spatial autocorrelationTapio decoupling

Identifiers

PMID42162105
PMCPMC13392434

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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.