Effects of agricultural cooperative society on farmers' technical efficiency: evidence from stochastic frontier analysis

Ruopin Qu; Yongchang Wu; Jing Chen; Glyn D. Jones; Wenjing Li; Shan Jin; Qian Chang; Yiying Cao; Guijun Yang; Zhenhong Li; Lynn J. Frewer

doi:10.3390/su12198194

Effects of agricultural cooperative society on farmers' technical efficiency: evidence from stochastic frontier analysis

Ruopin Qu, Yongchang Wu, Jing Chen^*, Glyn D. Jones, Wenjing Li, Shan Jin, Qian Chang, Yiying Cao, Guijun Yang, Zhenhong Li, Lynn J. Frewer

^*Corresponding author for this work

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Abstract

The impact of agricultural cooperatives on apple farmers' technical efficiency (TE) in China was examined. The cooperatives were divided into two groups: a collective marketing group for farmers and an equivalent non-marketing group that did not provide a marketing service, although other functions remained the same. Using the propensity score matching (PSM) procedure and stochastic production frontier (SPF) modelling, cooperatives' key functions that potentially increase farmers' TE can be identified. The results indicate that membership of either group is positively related to yield. However, cooperatives that were not engaged in marketing achieved higher TE than non-members. This suggests that policy makers should encourage cooperatives to focus on activities that do not include direct marketing to increase TE in apple production in China.

Original language	English
Article number	8194
Number of pages	13
Journal	Sustainability (Switzerland)
Volume	12
Issue number	19
DOIs	https://doi.org/10.3390/su12198194
Publication status	Published - 5 Oct 2020
Externally published	Yes

Keywords

agricultural cooperatives
apple production
China
propensity score matching
stochastic production frontier
technical efficiency

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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sustainability-12-08194Final published version, 600 KBLicence: CC BY

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title = "Effects of agricultural cooperative society on farmers' technical efficiency: evidence from stochastic frontier analysis",

abstract = "The impact of agricultural cooperatives on apple farmers' technical efficiency (TE) in China was examined. The cooperatives were divided into two groups: a collective marketing group for farmers and an equivalent non-marketing group that did not provide a marketing service, although other functions remained the same. Using the propensity score matching (PSM) procedure and stochastic production frontier (SPF) modelling, cooperatives' key functions that potentially increase farmers' TE can be identified. The results indicate that membership of either group is positively related to yield. However, cooperatives that were not engaged in marketing achieved higher TE than non-members. This suggests that policy makers should encourage cooperatives to focus on activities that do not include direct marketing to increase TE in apple production in China.",

keywords = "agricultural cooperatives, apple production, China, propensity score matching, stochastic production frontier, technical efficiency",

author = "Ruopin Qu and Yongchang Wu and Jing Chen and Jones, {Glyn D.} and Wenjing Li and Shan Jin and Qian Chang and Yiying Cao and Guijun Yang and Zhenhong Li and Frewer, {Lynn J.}",

note = "Funding Information: Funding: This study is funded by the National Key Research and Development Program of China (2017YFE0122500). Publisher Copyright: {\textcopyright} 2020 by the authors.",

year = "2020",

month = oct,

day = "5",

doi = "10.3390/su12198194",

language = "English",

volume = "12",

journal = "Sustainability (Switzerland)",

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T1 - Effects of agricultural cooperative society on farmers' technical efficiency

T2 - evidence from stochastic frontier analysis

AU - Qu, Ruopin

AU - Wu, Yongchang

AU - Chen, Jing

AU - Jones, Glyn D.

AU - Li, Wenjing

AU - Jin, Shan

AU - Chang, Qian

AU - Cao, Yiying

AU - Yang, Guijun

AU - Li, Zhenhong

AU - Frewer, Lynn J.

PY - 2020/10/5

Y1 - 2020/10/5

N2 - The impact of agricultural cooperatives on apple farmers' technical efficiency (TE) in China was examined. The cooperatives were divided into two groups: a collective marketing group for farmers and an equivalent non-marketing group that did not provide a marketing service, although other functions remained the same. Using the propensity score matching (PSM) procedure and stochastic production frontier (SPF) modelling, cooperatives' key functions that potentially increase farmers' TE can be identified. The results indicate that membership of either group is positively related to yield. However, cooperatives that were not engaged in marketing achieved higher TE than non-members. This suggests that policy makers should encourage cooperatives to focus on activities that do not include direct marketing to increase TE in apple production in China.

AB - The impact of agricultural cooperatives on apple farmers' technical efficiency (TE) in China was examined. The cooperatives were divided into two groups: a collective marketing group for farmers and an equivalent non-marketing group that did not provide a marketing service, although other functions remained the same. Using the propensity score matching (PSM) procedure and stochastic production frontier (SPF) modelling, cooperatives' key functions that potentially increase farmers' TE can be identified. The results indicate that membership of either group is positively related to yield. However, cooperatives that were not engaged in marketing achieved higher TE than non-members. This suggests that policy makers should encourage cooperatives to focus on activities that do not include direct marketing to increase TE in apple production in China.

KW - agricultural cooperatives

KW - apple production

KW - China

KW - propensity score matching

KW - stochastic production frontier

KW - technical efficiency

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UR - https://eprints.ncl.ac.uk/271307

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DO - 10.3390/su12198194

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JO - Sustainability (Switzerland)

JF - Sustainability (Switzerland)

IS - 19

M1 - 8194

ER -

Effects of agricultural cooperative society on farmers' technical efficiency: evidence from stochastic frontier analysis

Abstract

Keywords

UN SDGs

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