Duration analysis on the adoption behavior of green control techniques

Zhao, Duanyang; Yu, Lili; Yang, Haoran

doi:10.1007/s11356-018-04088-9

Cited by 23 publications

(15 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this context, developing green agriculture, promoting the effective connection between small farmers and modern agriculture and propelling the reduction of pesticide use are important measures for achieving green agricultural development. Relevant domestic and foreign studies believe that the promotion of green prevention and control technology is an effective way to reduce the use of chemical pesticides, achieve zero growth in pesticide use, and alleviate nonpoint source pollution [1,2]. Green prevention and control technology, also known as integrated pest management (IPM), is a resource-conserving and environmentally friendly pest management technology.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Need for Cognitive Closure, Information Acquisition and Adoption of Green Prevention and Control Technology

Zhou

2021

Ecological Chemistry and Engineering S

View full text Add to dashboard Cite

In this paper, we use the OLS regression method to analyse the influencing mechanism of the NFCC on farmers’ adoption of green prevention and control technology and further verify the mediating effect of information acquisition. The results show that the NFCC has a direct effect on the adoption of green prevention and control technology, and information acquisition has a mediating effect. The first stage of cognitive closure has a more significant effect on farmers’ adoption of green prevention and control technology, information acquisition ability has a significant positive impact on farmers’ adoption of green prevention and control technology, and information acquisition has an incomplete mediating effect on the impact of cognitive closure on the adoption of green prevention and control technologies. This paper further studies and verifies the action path of two dimensions of the NFCC on farmers’ adoption of green prevention and control technology. The results have certain theoretical significance for expanding the knowledge of farmers’ green prevention and control technology behaviour and further enriching the research on farmers’ cognition.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Its goal is to reduce the use of chemical pesticides by farmers as much as possible while increasing crop yields. It is therefore considered to be a typical pesticide replacement technology [2,3].…”

Section: Introductionmentioning

confidence: 99%

Need for Cognitive Closure, Information Acquisition and Adoption of Green Prevention and Control Technology

Zhou

2021

Ecological Chemistry and Engineering S

View full text Add to dashboard Cite

show abstract

“…SMEs’ characteristics and technology adoption intention concentrate on entrepreneur’s personality, technological strength and social influence, which are usually considered as important factors in the decision to adopt an innovation (Gao et al , 2019). Elmustapha et al (2018) analyzed the best-explained factors for consumers’ decision to adopt a solar water heater in the light of climate change.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Perceived enjoyment as a key belief variable is incorporated to predict the outcomes of future using and purchase intention on virtual reality hardware (Kerry and Danny, 2019). The entrepreneur’s personality and technology mainly take consideration of entrepreneur’s technological feasibility and organizational appropriability (Dyck and Silvestre, 2019; Elmustapha et al , 2018), technological strength (Rahbauer et al , 2016), values, norms and social influence (acceptability) (Gao et al , 2019). SMEs are typically reliant vulnerable to market shifts, attitude to technological innovation is the prerequisite for enterprises to adopt green technology.…”

Section: Literature Reviewmentioning

confidence: 99%

A study of group decision-making for green technology adoption in micro and small enterprises

Yao

Song

et al. 2020

JBIM

View full text Add to dashboard Cite

Purpose Green technology adoption (GTA) in small and micro enterprises (SMEs) is a complex multi-attribute group decision-making issue. Conflicts of opinions can hamper the achievement of group coherence. The purpose of this paper is to solve the conflict decision-making problem in SMEs. Design/methodology/approach This paper reconstructs the GTA evaluation index system for SMEs and proposes an intragroup coordination relationship model to mitigate group decision-making conflicts based on the cloud model and social networks (GCS). The numerical characteristics of these GTA indicators are determined using fuzzy theory and cloud model. Findings It was found that establishing a trust relationship network and a conflict coordination relationship could improve the consistency of group decision-making. The degree of coordination has subtle differences with the trust relationship. Particularly, the coordination relationship has obvious influences on the decision-making results among small groups in SMEs. Originality/value The conflict coordination model can significantly improve the consistency of group decision-making in SMEs. At the same time, it discusses the differences between the level of conflict coordination and the trust propagation in the process of group decision-making.

show abstract

“…Higher levels of education increase the degree of implementation of technology by farmers (Abang et al ., 2014). In fact, such farmers are capable of selecting proper farming activities and pest management methods (Gao et al ., 2019). Experienced farmers have a better understanding of their farm conditions and agronomic activities in crop production (Toffolini et al ., 2019).…”

Section: Introductionmentioning

confidence: 99%

Weed infestation is affected by chickpea farmer demographics and agronomic practices

et al. 2020

View full text Add to dashboard Cite

To investigate the effects of agronomic practices and farmer demographics on levels of weed infestation in chickpea fields, a survey was conducted during 2015 in Sanjabi district, Kermanshah, Iran. Two sets of data were collected: (a) weed sampling from the selected chickpea fields, and (b) questionnaire recording of farmer demographics and agronomic management. The farmers were asked about their residence status (resident or migrant), occupation (farming only, farming plus a second job), experience and education levels, as well as seedbed preparation, sowing date and method, source of seed supply, crop cultivar, sowing seed rate, weed control operation and crop rotation history. The results showed that weed species composition was similar across the studied fields. The use of a row crop planter, a sowing rate of 45 kg ha‐1, and weed control resulted in 30.2, 23.03 and 34.2% reductions in weed infestation compared with hand sowing, a sowing rate of 30 kg ha‐1 and lack of weed control, respectively. Weed density decreased with increasing farmer experience and decreased by 33.0% and 23.5% in chickpea fields of resident farmers and owners whose sole occupation was agriculture. We found that 89.5% of the most experienced farmers adopted weed control operations and most resident landowners (77.4%) opted for crop planter (77.4%) and weed control (90.3%) compared to migrant farmers (50 and 68.5%, respectively). More landowners who were exclusively farmers performed weed control (90.6%) than owners who had a second job (67.9%).

show abstract

Duration analysis on the adoption behavior of green control techniques

Cited by 23 publications

References 44 publications

Need for Cognitive Closure, Information Acquisition and Adoption of Green Prevention and Control Technology

Need for Cognitive Closure, Information Acquisition and Adoption of Green Prevention and Control Technology

A study of group decision-making for green technology adoption in micro and small enterprises

Weed infestation is affected by chickpea farmer demographics and agronomic practices

Contact Info

Product

Resources

About