2020
DOI: 10.1111/1467-8489.12406
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Adoption of organic soil amendments and its impact on farm performance: evidence from wheat farmers in China*

Abstract: This study examines the determinants of adoption of organic soil amendments (OSAs) such as organic fertiliser and farmyard manure and its impact on crop yields and net returns, using household survey data of 558 wheat farmers in China. We employ an endogenous switching regression model to account for selection bias stemming from both observable and unobservable factors. The empirical results show that household size, dependency ratio, machine ownership and non-paid labour are main factors that determine farmer… Show more

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Cited by 37 publications
(22 citation statements)
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References 46 publications
(129 reference statements)
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“…This is expected given that education improves a farmer's ability to understand the benefits of new technology, as it plays a crucial role in farmers adopting a new technology (Feder et al, 1985). Household size has a negative and statistically significant effect on the adoption of ISVs, and this is not consistent with Zheng et al (2021) who reported that household size had a positive influence on the adoption of improved organic agricultural practices in China. This is expected as households with larger sizes are less likely to face labor constraints.…”
Section: Resultscontrasting
confidence: 67%
“…This is expected given that education improves a farmer's ability to understand the benefits of new technology, as it plays a crucial role in farmers adopting a new technology (Feder et al, 1985). Household size has a negative and statistically significant effect on the adoption of ISVs, and this is not consistent with Zheng et al (2021) who reported that household size had a positive influence on the adoption of improved organic agricultural practices in China. This is expected as households with larger sizes are less likely to face labor constraints.…”
Section: Resultscontrasting
confidence: 67%
“…However, the two approaches can only address the selection bias originating from observed factors. Unlike the PSM and IPWRA methods, the endogenous switching regression (ESR) model addresses the selection bias arising from both observed and unobserved factors (Li et al, 2020; M. Liu et al, 2021; Ma & Abdulai, 2016; Takam‐Fongang et al, 2019; Zheng et al, 2021). The ESR model estimates one treatment equation (i.e., cooperative membership equation) and two outcome equations (one for cooperative members and another for non‐members), and then uses the estimated coefficients to calculate the average treatment effects on the treated (ATT).…”
Section: Estimation Strategiesmentioning
confidence: 99%
“…Moreover, using OF entails technical risks. Therefore, the use intensity of OF for risk-loving fruit growers is higher [ 31 ]. Education positively and statistically significantly affects the use intensity (COF) for e-commerce participants.…”
Section: Resultsmentioning
confidence: 99%
“…First, unlike previous studies on the binary use decision of (OF) by farmers [ 6 , 13 , 29 , 30 ], we analyze the effect of e-commerce participation on the use intensity of (OF) (i.e., commercial organic fertilizer and farmyard manure) from both input quantity and cost aspects because most fruit farmers in the surveyed areas use (OF), and the use intensity of (OF) can better reflect the differences in the use of (OF) by farmers. Second, we employ an endogenous switching regression (ESR) model to correct the selection bias issue associated with e-commerce participation by considering both observed factors (e.g., gender, education, cultivation years, and fruit cultivated area) and unobserved factors (i.e., personal preferences and psychological motivations) [ 31 ]. Third, we also investigate the heterogeneity of the impact of e-commerce on fruit farmers’ use intensity of (OF) keeping in view the level of participation in e-commerce.…”
Section: Introductionmentioning
confidence: 99%