Evidence map›Paper›PMID 40855357›Full record

ArticleScientific reports2025

The role of forestland size on rural household's forest management efficiency.

Longjunjiang Huang, Lishan Li, Xin Luo

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–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

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

3 authors.

Longjunjiang HuangSchool of Business Administration, Zhongnan University of Economics and Law, Wuhan, 430073, China.
Lishan LiSchool of Business Administration, Zhongnan University of Economics and Law, Wuhan, 430073, China.
Xin LuoSchool of Economics and Management, Beijing Forestry University, Beijing, 100083, China. xinluo0826@163.com.

Funding

Fundamental Research Funds for Central Universities of the Central South University 202411011
6 · The paper itself

Abstract

In the context of the global challenge of sustainable resource management and rapid urbanization in China, the scarcity of forestland resources presents a critical barrier to improving forestland management efficiency (FME) for rural households. The present study aims to explore the constraints of the small-size agricultural sector by assessing the relationship between forestland management size (FMS) and efficiency. The survey data is applied from the 505 rural households in Jiangxi Province, China from 2017 to 2018. This research employs a nonlinear relationship model and threshold effect analysis to assess how FMS influences FME. Furthermore, the moderating effect analysis conducted to assess the role of socialized forestry services in shaping this relationship. The key findings revealed that there exists positive and favorable correlation between FMS and FME, indicating that larger FMS tend to improve the efficiency of rural households. Socialized forestry services are enhance FME by progressively upregulating the marginal effects, indicating their critical role in optimizing resource allocation and promoting efficient forestland management. The threshold effect observed the impact of FMS on FME underscores the nonlinear nature of this relationship. It suggested that optimal efficiency can achieved at specific FMS thresholds. This study provides valuable insights into the dynamics of forestland management in China, and highlighting the requirement for policies and interventions that promote appropriate scaling of forestland management while leveraging socialized forestry services to enhance efficiency and sustainability for socioeconomic development in years to come.

Indexed as

Farm sizeForestland managementManagement efficiencyPolicy implicationsRural developmentSocialized forestry services

Identifiers

PMID40855357
PMCPMC12379224

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LicenceCC BY-NC-ND
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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.