Evidence map›Paper›PMID 39181923›Full record

ArticleScientific reports2024

The impact of the digital economy on land transfer-out decisions among Chinese farmers: evidence from CHFS micro-data.

Peijiang Zheng, Yang Li, Xiao Li

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Peijiang ZhengSchool of Economics, Sichuan University, Chengdu, 610065, China.
Yang LiSchool of Economics, Sichuan University, Chengdu, 610065, China.
Xiao LiSchool of Economics, Sichuan University, Chengdu, 610065, China. lixiaoscu@scu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Land transfer is essential for advancing moderate-scale agriculture, and the digital economy plays a key role in facilitating these transfers. Based on microdata from four rounds of the China Household Finance Survey spanning from 2013 to 2019, this study employs a Linear Probability Model (LPM) to examine the impact of digital economy on rural land transfer-out decisions. The results indicate that: (1) The development of the digital economy significantly increases the likelihood of rural households transferring land out. Specifically, for each unit increase in the digital economy index, the probability of a household transferring land out increases by 3.39%. These conclusions remain robust even after accounting for endogeneity and conducting robustness checks. (2) The digital economy facilitates rural land transfer-out by promoting non-agricultural employment and entrepreneurship among farmers, as well as enhancing online social interactions and information acquisition. (3) There are heterogeneous impacts due to different scales and transferees, variations in physical and human capital, as well as differences in village topographies. This study deepens the understanding of the digital economy's impact on land transfer decision-making and provides relevant policy references for facilitating land transfer and agricultural modernization.

Indexed as

Digital economyLand transfer-outNon-agricultural employmentNon-agricultural entrepreneurship

Identifiers

PMID39181923
PMCPMC11344833

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.