A Study on Farmers’ Participation in Environmental Protection in the Context of Rural Revitalization: The Moderating Role of Policy Environment

Dong, Hao; Zhang, Yang; Chen, Tianqing

doi:10.3390/ijerph20031768

Cited by 11 publications

(6 citation statements)

References 42 publications

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“…The results of the effect of AC on PN supported hypothesis 2 and were consistent with the findings of 37,77,80,83 . According to these results, it can be concluded that awareness of the consequences of pro-environmental behaviors can affect people's normative commitment.…”

Section: Discussionsupporting

confidence: 88%

“…H7: Farmers' PBC toward pro-environmental behaviors have a significant impact on their intention.Merging NAM and TPB. NAM, rooted in pro-social behavioral intention and TPB based in self-interested motivation are widely adopted in the environmental psychology literature 64,76,77 , though there are specific advantages to applying the two models in tandem in order to improve responsiveness 47,64,65 , data depth 37,78,79 and hence to better explore the farmers' intention toward pro-environmental behaviors 47,80 . The principle advantage of a combined model is that it allows consideration of both pro-social and self-interested motivational factors in concert with one another 43,81 , and hence more rounded insights into pro-environmental behavioral context than their independent application 37,80,82,83 .…”

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confidence: 99%

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Integrating the norm activation model and theory of planned behaviour to investigate farmer pro-environmental behavioural intention

Savari¹,

Damaneh²,

Damaneh³

et al. 2023

Sci Rep

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Sustainable agriculture requires cooperative and coordinated action across multiple sectors and policy domains. However, farmer-stakeholder behaviors and action remain pivotal to sustainable food system management in many rural development contexts. We assess farmer pro-environmental behavioral intention through the development and application of a novel integrated approach combining two dominant psychological theories of behavior change: the Norm Activation Model (NAM) and Theory of Planned Behavior (TPB). We apply this framework to targeted research with potato growers of Kerman Province in southeastern Iran, using survey data (sample n = 381) analyzed through structural equation modeling (SEM). The integrated NAM-TPB model provides insight into both pro-social and self-interested motivations for farmer pro-environmental behavioral intention, with the model explaining 77% of total variance. We found that three variables, Awareness of Consequence (AC), Perceived Behavioral Control (PBC), and Subjective Norms (SN) were the strongest indicators of pro-environmental behavioral intention. We recommend therefore that agricultural extension and state-led farmer education should first emphasize awareness-raising of negative environmental impacts of current farming practices within training programs, and second, improve social learning amongst farmer communities through sustained farmer community engagement, thus “stabilizing” a social norm of environmental protection amongst peer networks of agricultural workers.

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Section: Discussionsupporting

confidence: 88%

mentioning

confidence: 99%

Integrating the norm activation model and theory of planned behaviour to investigate farmer pro-environmental behavioural intention

Savari¹,

Damaneh²,

Damaneh³

et al. 2023

Sci Rep

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“…The cow dung separate machine helps create a sense of environmental responsibility by minimizing impacts. from waste generated within their own cattle farm (Dong, H., et al, 2023;Egwutvongsa, S., et al, 2021). to strengthen farmers in rural areas.…”

Section: Discussionmentioning

confidence: 99%

Sustainability: Mechanized Handling of Large-Scale Livestock's Cow Manure Factors Into a Greener Economy

Ratikul,

Seviset,

Egwutvongsa

2023

Acad. J. Interdiscip. Stud.

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This research objective is to develop a large-scale livestock cow manure processing machine to add economic value and be environmentally friendly. The population was 4,994 dairy farmers in Nakhonratchasima province, Thailand. The sample group was the dairy farmers group in Pak Chong district Nakhonratchasima province, Thailand, with a total of 357 people. By evaluating the rating scale (Rating Scale) five levels of Likert. and there was a confidence value with an alpha coefficient (Cronbach's Alpha = 0.703), which was analyzed by SLR systematic literature review and scamper analysis by synthesizing the data to design new products as three main issues were 1) product creation guidelines from SLR literature review 2) problem diagnosis to the solution with SCAMPER technique 3) new product design in accordance with GOAL data were analyzed by multiple regression analysis and confirmatory factor analysis which found that 1) factors machine features 2) the efficiency factor of the machine and 3) image factors of the machine that resulted positively on farmer satisfaction and explained the farmer satisfaction variance of 71.9%. The standard score regression equation was Z= .453(X_1 )+ .384(X_2 )+ .465(X_3 ) and the regression equation in raw score y ?=-1.20+.460(X_1 )+.385(X_2 )+.466(X_3 ). When evaluated with CFA, the satisfaction of the sample group of dairy farmers group with the developed cow dung separate machine was found. That is the result of 3 factors according to the model concordance index: ?^2= .874, df = 4, relative ?^2= .219, p-value = .928, RMSEA = .000, RMR = .004, GFI = .996, AGFI = .956, NFI = .998, TLI = 1.078, PGFI = .089, RFI = .980, AIC = 82.874 Received: 18 August 2023 / Accepted: 25 October 2023 / Published: 5 November 2023

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“…The development of rural digital finance has promoted the establishment of rural environmental protection service platforms. Participation in environmental governance and other activities has effectively increased farmers' enthusiasm for engaging in environmental protection and has helped to improve their sense of social responsibility (Meng et al, 2022;Dong et al, 2023). Taking the "Ant Forest" in Alipay's personal carbon account platform as an example, users collect online energy and plant virtual trees to achieve real afforestation projects in reality, which attracts lots of subscribers to participate in environmental protection actions.…”

Section: Rural Digital Financementioning

confidence: 99%

How has the rural digital economy influenced agricultural carbon emissions? Agricultural green technology change as a mediated variable

Zhang,

Guo,

Liu

et al. 2024

Front. Environ. Sci.

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Digital economy is being closely integrated with agricultural development and tapping into its unique potential to alleviate agriculture’s carbon emissions To explore the mechanism of how digital economy reduce the agricultural carbon emissions, this paper constructs a systematic evaluation method with extend STIRPAT model and panel data drawn from 29 provinces (or municipalities and autonomous regions) in the Chinese mainland from 2013–2020. The results show that the development of the rural digital economy has a significant negative influence on agricultural CEs, and this result is still valid given robustness tests. Second, the alleviation of CEs based on the rural digital economy is more significant in the higher technological investment zones than that in the lower technological investment zones, and the central and eastern regions also have more significant CEs reduction effect. Third, the influence mechanism analysis shows that agricultural green technology change is an effective means to promote the rural digital economy’s CEs reduction effect. This paper not only provide new empirical evidence for understanding nexus between digital economy and agricultural carbon reduction, but also give constructive policy implication to improve agricultural green development.

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A Study on Farmers’ Participation in Environmental Protection in the Context of Rural Revitalization: The Moderating Role of Policy Environment

Cited by 11 publications

References 42 publications

Integrating the norm activation model and theory of planned behaviour to investigate farmer pro-environmental behavioural intention

Integrating the norm activation model and theory of planned behaviour to investigate farmer pro-environmental behavioural intention

Sustainability: Mechanized Handling of Large-Scale Livestock's Cow Manure Factors Into a Greener Economy

How has the rural digital economy influenced agricultural carbon emissions? Agricultural green technology change as a mediated variable

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