Neighbourhood Effects in Pesticide Use: Evidence from the Rural Philippines

Aida, Takeshi

doi:10.1111/1477-9552.12230

Cited by 20 publications

(12 citation statements)

References 58 publications

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“…This result stems from the fact that rice farmers tend to use an amount of those toxic chemicals that well exceeds the amount prescribed by experts, which is adamant since it has deeply rooted in their mind. In addition to this, there is also the so-called "household effect" (Aida, 2018), where farmers communicate about their pest and weed management strategies or where farmers who lack information look to the application pattern of neighbors for direction, which results in inappropriate use of chemicals.…”

Section: Economic Role Of Education In Agriculturementioning

confidence: 99%

Economic role of education in agriculture: evidence from rural Vietnam

Ninh

2020

JED

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PurposeThis paper investigates the impact of education on output of rice farming households in Vietnam.Design/methodology/approachGiven the literature review, this paper specifies three empirical models (i.e. linear constant coefficient model, partially nonlinear model and linear varied coefficient model) with variables that well describe the mechanism through which education affects output. The data were collected from 901 rice farming households randomly selected out of ten provinces and city in the Mekong River Delta (MRD) of Vietnam. The models are estimated using ordinary least squares (OLS) and Robinson's (1988) double residual estimators.FindingsEstimates of the empirical models show that seed, fertilizer, labor and farm size have significant impacts on output of rice farming households while pesticide and herbicide do not. Education is also found to have a positive effect on output of rice farming households because it helps them better manage farms of larger size via combining various inputs in a more desirable way.Originality/valueThis paper confirms the positive impact of education on agricultural output, which implies that policies aiming to provide better education to rural people will greatly enhance their income as well as trigger long-term economic and agricultural growth.

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Section: Economic Role Of Education In Agriculturementioning

confidence: 99%

Economic role of education in agriculture: evidence from rural Vietnam

Ninh

2020

JED

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“…Therefore, it is necessary to introduce spatial geographic factors when analyzing farmers' pesticide use behaviors and construct a spatial weight matrix, to control for the influence of neighboring farmers. The specific equation is as follows (Krishnan and Patnam, 2014; Aida, 2017):…”

Section: Methodsmentioning

confidence: 99%

“…In situations where we do not have experience or a guide to how to behave properly, we are more likely to emulate others. This influence of others' behaviors or characteristics on an individual's decision-making is known as the peer effect (Manski, 1993; Brock and Durlauf, 2002; Aida, 2017). The peer effect is not achieved through the coordination of market price mechanisms or non-market contract mechanisms through direct interactions between individuals.…”

Section: Introductionmentioning

confidence: 99%

The peer effect of training on farmers' pesticides application: a spatial econometric approach

Zhou

Zhang

Zhou

et al. 2020

CAER

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PurposeThe purpose of this paper is to examine the relationships of technical training and the peer effects of technical training with farmers' pesticide use behaviors.Design/methodology/approachThis study uses survey data from 300 peanut growers in Zoucheng County, Shandong, China, in 2016 and employs spatial econometric models to examine the relationships of technical training and the peer effects of technical training with farmers' pesticide use behaviors.FindingsThis paper reveals that important peer effects can be channeled through technical training and that these peer effects are sufficiently significant to encourage neighboring farmers to reduce the amount of pesticide use, to transform the structure of pesticide use, and to increase the usage amount of low-toxicity, low-residue pesticide use per hectare. The estimated parameters for the peer effects from technical training are significantly larger than those from technical training alone, which suggests that the technical training of neighboring farmers plays a greater role than technical training for farmers individually.Originality/valueThe research finds that technical training within smaller, localized, groups can induce previously unobservable spillover effects, and this provides a scientific, theoretical and empirical justification for agricultural technology extension that can lead to a rapid, effective transformation of applying new agricultural technologies in an environmentally sensitive and economically sustainable manner.

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“…Generally, extensive social networks can help farmers to obtain more information and have a better understanding of the green production mode and green grains, thereby promoting their green production behavior [ 29 , 51 ], while sometimes, the bias and distortion of information obtained through a social network can also make farmers reluctant to engage in green production. Agricultural communication and learning among neighbors can help to improve farmers’ awareness of environmental protection and green production perceptions, which can facilitate the conversion of green production intentions to behaviors [ 52 ]. Agricultural extension services can increase the motivation of farmers to engage in green production and raise farmers’ green production awareness and technology level, which in turn promotes green production [ 53 , 54 ].…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Gap between Willingness and Behaviors: Understanding the Consistency of Farmers’ Green Production in Hainan, China

Qiao

et al. 2022

IJERPH

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The green transformation of production modes plays an essential role in the sustainable development of China’s agriculture and the modernization process, but there is often a deviation between farmers’ behavior and their willingness regarding green production. This paper analyzed the factors influencing the deviation of farmers’ green production behaviors from their willingness, along with their hierarchical logic structure, using the ordered logit model and ISM model with field survey data of 436 households in Hainan Province. The results show that: (1) there are deviations between farmers’ green production behavior and willingness; (2) age, number of dependents, peer influence, and social networks aggravate farmers’ green production behavior–willingness deviation, while ethnicity, education, land fragmentation, agricultural expenditure, land transfer, neighborhood learning, and green production cognition mitigate the deviation; (3) among the significant influencing factors, farmers’ perceptions of green production, peer influence, land transfer, and agricultural expenditure are the direct surface factors, while neighborhood learning, land fragmentation, and number of dependents are the middle indirect factors, and farmers’ education, social networks, age, and ethnicity are the deep-rooted factors. This study sheds more light and detail on the understanding of the factors influencing farmers’ green production behavior–willingness deviation, and provides more practical and relevant guidance for the agricultural green development in tropical China.

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Neighbourhood Effects in Pesticide Use: Evidence from the Rural Philippines

Cited by 20 publications

References 58 publications

Economic role of education in agriculture: evidence from rural Vietnam

Economic role of education in agriculture: evidence from rural Vietnam

The peer effect of training on farmers' pesticides application: a spatial econometric approach

Gap between Willingness and Behaviors: Understanding the Consistency of Farmers’ Green Production in Hainan, China

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