Evidence map›Paper›PMID 36961825›Full record

ArticlePloS one2023

Effects of climate and price on soybean production: Empirical analysis based on panel data of 116 prefecture-level Chinese cities.

Hao Wang, Shen Guohui, Shi Zizhong, Hu Xiangdong

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Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Hao WangInstitute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing, China.
Shen GuohuiInstitute of Food and Nutrition Development, Ministry of Agriculture and Rural Affairs, Beijing, China.
Shi ZizhongInstitute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing, China.
Hu XiangdongInstitute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing, China.ORCID 0000-0002-2363-0019

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper uses panel data from 116 prefecture-level cities in China from 2003 to 2019 to study the impact of price and climate factors on soybean planting area and yield per unit area in China. We adopt the panel instrumental variable method to control the endogeneity of the price in the regression and allow possible spatial autocorrelation errors. According to the research results, price is the primary factor affecting soybean production. For every 1% increase in soybean prices, the soybean planting area increases by 1.650%, and the per unit yield decreases by 0.898%. As for fertilizer prices, for every 1% increase in fertilizer prices, the soybean planting area will decrease by 2.616%, and the yield per unit area will increase by 0.819%. At the same time, climate change will also significantly affect soybean production. For every 1 cm increase in precipitation in April and May, the soybean planting area will increase by 0.233% and decrease by 0.172%, respectively. The precipitation increase in June and July can also significantly promote soybean yield. The results demonstrate that because soybean is a shade-loving crop, the increase of growing degree days will hinder the progress of soybean yield.

Indexed as

FertilizersGlycine maxChinaCitiesClimate ChangeFertilizers

Identifiers

PMID36961825
PMCPMC10038256

What OpenQuestion holds

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LicenceCC BY
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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.