2021
DOI: 10.1590/0103-8478cr20200847
|View full text |Cite
|
Sign up to set email alerts
|

Analysis of farmers’ perceptions and behavioral response to rural living environment renovation in a major rice-producing area: a case of Dongting Lake Wetland, China

Abstract: This article combines influencing factors of farmers’ participation in the Rural Living Environment Renovation Project (RLERP) and conceptualizes a model that depicts the relationships between the demographic characteristics of farmers and their perceptions and behavioral response to RLERP. Using a questionnaire survey to collect empirical data, we found (1) A total of 92% of farmers have fully realized the importance of rural living environment, but most people have adopted a wait-and-see attitude and a lack … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
8
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 9 publications
(8 citation statements)
references
References 14 publications
(10 reference statements)
0
8
0
Order By: Relevance
“…Combined with the above theoretical analysis and existing research [23,52,67,81], and because the explained variables were dummy variables, this paper adopted the Logit model for empirical analysis with the following preliminarily equation:…”
Section: Analysis Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Combined with the above theoretical analysis and existing research [23,52,67,81], and because the explained variables were dummy variables, this paper adopted the Logit model for empirical analysis with the following preliminarily equation:…”
Section: Analysis Methodsmentioning
confidence: 99%
“…Through the efficient dissemination of environment-related knowledge and information, farmers' environmental awareness can be improved and their sense of responsibility enhanced, which will finally assist them in consciously participating in environmental activities (e.g., IRHS) [73,75,79,80]. In addition, the deeper farmers' understanding of IRHS, the more likely they are to contribute to IRHS [81]. In other words, network embeddedness first promotes farmers' environmental awareness and then affects their participation in IRHS.…”
Section: Mediating Effect Analysis Of Environmental Awarenessmentioning
confidence: 99%
“…Seemingly, according to the planned behavior theory, farmers’ decisions will also be affected by subjective cognition [ 39 ]. In production, farmers will get an idea about the surrounding ecological environment, which will encourage farmers to make different decisions to adapt to the ecological environment changes [ 40 , 41 ]. Moreover, farmers’ cognition of changes positively impacts their living environment and eventually shaped the adoption behavior of environment-friendly technologies [ 42 , 43 ].…”
Section: Methodsmentioning
confidence: 99%
“…Rational rural residents will choose free-riding behavior and can enjoy the results of rural environmental governance without participating in environmental governance [ 14 ]. Zhenghua Deng’s further classification research found that rural residents enjoying superior economic conditions are more likely to choose free-riding behavior [ 15 ], because rural residents with higher economic incomes show that their rational thinking is more advantageous. Satola, Lukasz et al discussed the influence of a local government’s financial autonomy on governance behaviors [ 16 ], finding that local debt [ 17 ], financial input [ 18 ], and stable rural funding sources [ 19 ] are important factors for the sustainability of environmental governance behavior.…”
Section: Introductionmentioning
confidence: 99%
“…Satola, Lukasz et al discussed the influence of a local government’s financial autonomy on governance behaviors [ 16 ], finding that local debt [ 17 ], financial input [ 18 ], and stable rural funding sources [ 19 ] are important factors for the sustainability of environmental governance behavior. In addition, rural residents’ income [ 20 ], educational level, age [ 21 ] and sex [ 15 ] have been proven to have remarkable influence on their participation in environmental governance.…”
Section: Introductionmentioning
confidence: 99%