Evidence map›Paper›PMID 36938440›Full record

ArticleHeliyon2023

Adoption of hand tractor technology in terrace farming: Evidence from the Hindu Kush Himalayan (HKH), Pakistan.

Ayat Ullah, Ashfaq Ahmad Shah, Miroslava Bavorova, Giri Prasad Kandel, Harald Kächele

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Article in Heliyon, 2023. 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

5 authors.

Ayat UllahFaculty of Tropical AgriSciences, Czech University of Life Sciences Prague, Kamycka 129, 16500, Praha, Suchdol, Czech Republic.
Ashfaq Ahmad ShahResearch Center for Environment and Society, Hohai University, Nanjing 210098, China.
Miroslava BavorovaFaculty of Tropical AgriSciences, Czech University of Life Sciences Prague, Kamycka 129, 16500, Praha, Suchdol, Czech Republic.
Giri Prasad KandelFaculty of Tropical AgriSciences, Czech University of Life Sciences Prague, Kamycka 129, 16500, Praha, Suchdol, Czech Republic.
Harald KächeleResearch Area 2 "Land Use and Governance", Working Group: Sustainable Land Use in Developing Countries, Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Straße 84, 15374 Müncheberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adoption of improved agricultural technologies can help achieve the two Sustainable Development Goals (SDGs) of no poverty and zero hunger by 2030. This study investigates the determinants of farmers' adoption of hand tractors in the HKH region of Pakistan using binary logit model. We also examine what facilitates and what impedes the adoption of hand tractor adoption using key informant interviews. Results show that household head education, farming experience, knowledge of hand tractor use, access to credit, extension contact, and trust in technology positively affect the adoption of hand tractor; however farm size is negatively related. The findings reveal that ethnic conflicts, political conflicts, elite capture in decision making, unavailability of functional community-based entities, weak extension-farmers contact, as well as weak inter- and intra-community linkages are key barriers affecting hand tractor adoption. Similarly, observed changes on neighbors' fields, experiencing hand tractor on trial basis, communication networks, risk observations, and trust propensities motivate hand tractor adoption in the study region. Thus, to effectively disseminate improved agricultural technologies, policymakers should consider these factors.

Indexed as

Binary logit modelCommunication networksExtension contactHand tractor technology

Identifiers

PMID36938440
PMCPMC10018466

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LicenceCC BY
measurements read72
Read underepoch 390

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.