Effects of Agricultural Cooperative Society on Farmers’ Technical Efficiency: Evidence from Stochastic Frontier Analysis

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

doi:10.3390/su12198194

Cited by 24 publications

(19 citation statements)

References 18 publications

(29 reference statements)

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“…A growing number of studies have investigated the impacts of cooperative membership for farmers. Agricultural cooperatives can significantly contribute to members' technology adoption in developing countries [10,17,42,43], enhance market power by harnessing the benefits of the economies of scale gained from collective commercialization or the through the creation of new vertical marketing links [6,[44][45][46][47], improve crop yields and farm revenue [5,23,48,49], elevate farm efficiency and financial performance [15,[50][51][52], and promote farmers' safe production [53,54].…”

Section: Role Of Cooperatives In Rural Development and Povertymentioning

confidence: 99%

Poverty Reduction Effect of New-Type Agricultural Cooperatives: An Empirical Analysis Using Propensity Score Matching and Endogenous Switching Regression Models

Qiong

et al. 2021

Mathematical Problems in Engineering

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Agricultural cooperatives have been found to effectively alleviate poverty in developing countries because of their specific socioeconomic functions that allow poor households to overcome marketing and production constraints. However, cooperative evaluations are inevitably influenced by other poverty alleviation measures and rarely consider the characteristics of specific ethnic groups. Using cross-sectional surveys in Southwest China and employing propensity score matching (PSM) and endogenous switching regression (ESR) models, this paper analyzed the participation of poor households in New-type Agricultural Cooperatives (NACs) in ethnic areas and assessed the income impacts of NAC membership by eliminating unobserved biases and group heterogeneity. This study detected heterogeneous policy perceptions and behavioral differences between the member and nonmember groups, and the PSM and ESR model results indicated that, overall, participation in the NACs had a positive effect on household income. The ESR model was found to be more plausible as it was able to reveal the significant income gaps under a counterfactual inference framework. Local policymakers need to focus on the policy perception and behavioral and earning capability differences between groups and increase the balanced policy implementation.

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Section: Role Of Cooperatives In Rural Development and Povertymentioning

confidence: 99%

Poverty Reduction Effect of New-Type Agricultural Cooperatives: An Empirical Analysis Using Propensity Score Matching and Endogenous Switching Regression Models

Qiong

et al. 2021

Mathematical Problems in Engineering

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“…The data of this paper come from a field survey conducted by the research group in Shandong Province in May 2021, which used the methods of face-to-face interviews and random sampling. The survey was conducted face-to-face by trained enumerators, with at least one researcher present to ensure the quality of the data collection [4]. The survey involved three towns and their villages.…”

Section: Datamentioning

confidence: 99%

“…Apples are an important economic crop in China; in fact, China is the top producer and exporter of apples in the world, which has been critical for increasing farmers' incomes [4,5]. However, the aging labor force and rising production costs have severely restricted the sustainable development of the apple industry.…”

Section: Introductionmentioning

confidence: 99%

How Can Apple Farmers Be Encouraged to Apply Information Technology? The Moderating Effect of Knowledge Sharing

2021

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Information technology has become an increasingly powerful driving force in modern agriculture. In particular, its application is important for the sustainable development of the apple industry. However, to promote technology application effectively, a better understanding of the behavioral intention of apple farmers towards such information technology is needed. This study uses micro data from 226 Chinese apple growers and applies the theory of planned behavior. The factors influencing apple farmers’ intention to choose information technology, along with factors influencing the transformation of that intention into actual behavior, are investigated through structural equation modeling. The results show that farmers’ information technology attitudes and perceived behavioral control have a significant positive impact on their intention to choose information technology, and that intention has a significant positive impact on behavioral response. Additionally, both tacit and explicit knowledge sharing have a positive moderating effect on transforming the intention to choose information technology into actual behavior, and the higher the degree of knowledge sharing, the stronger its moderating effect. The results imply that to achieve industry sustainability, the government needs to improve its guidance and incentives for agricultural technology, as well as support the development of a strong knowledge-sharing system specifically for agricultural information technology.

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“…Several matching techniques are provided in the literature, such as nearest-neighbor matching, Caliper matching, stratification matching, and kernel-based matching. Following research by Qu et al (2020), this study employed the nearest-neighbor method to formulate a matching or comparable group between adopter and non-adopter. After matching the group, this research compared the technical efficiency of the adopter and non-adopter groups.…”

Section: Estimation Strategymentioning

confidence: 99%

The Effects of Improved Cassava Variety Adoption on Farmers’ Technical Efficiency in Indonesia

Syafrial

Toiba

Rahman

et al. 2021

5005

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The adoption of technological innovations, such as an improved variety, has been widely promoted worldwide to improve agricultural productivity. This study aimed to examine factors affecting farmers’ decision to adopt a new improved cassava varieties (NICV), and to estimate the effects of NICV adoption on farmers’ technical efficiency. This research used cross-sectional data from 300 cassava farmers in East Java, Indonesia. Furthermore, the data were analyzed by probit regression to examine factors affecting farmers’ decision to adopt NICV. Propensity score matching (PSM) procedures and stochastic frontier analysis were applied to evaluate the impact of NICV adoption on farmers’ technical efficiency. The results indicated that adoption was highly influenced by cooperative membership, access to credit, internet access, certified land, and off-farm work. The stochastic frontier analysis, by controlling the matched sample using PSM procedures, demonstrated that NICV adoption positively and significantly impacted farmers’ technical efficiency. Those who adopted NICV showed a higher technical efficiency level than those who did not. This finding implies that improved varieties could be further promoted to increase productivity. The research suggests that there is a need to improve NICV adoption to increase the levels of technical efficiency and productivity.

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Effects of Agricultural Cooperative Society on Farmers’ Technical Efficiency: Evidence from Stochastic Frontier Analysis

Cited by 24 publications

References 18 publications

Poverty Reduction Effect of New-Type Agricultural Cooperatives: An Empirical Analysis Using Propensity Score Matching and Endogenous Switching Regression Models

Poverty Reduction Effect of New-Type Agricultural Cooperatives: An Empirical Analysis Using Propensity Score Matching and Endogenous Switching Regression Models

How Can Apple Farmers Be Encouraged to Apply Information Technology? The Moderating Effect of Knowledge Sharing

The Effects of Improved Cassava Variety Adoption on Farmers’ Technical Efficiency in Indonesia

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