2017
DOI: 10.1007/s00267-017-0823-6
|View full text |Cite
|
Sign up to set email alerts
|

Spatial Dependence and Determinants of Dairy Farmers’ Adoption of Best Management Practices for Water Protection in New Zealand

Abstract: This paper analyses spatial dependence and determinants of the New Zealand dairy farmers' adoption of best management practices to protect water quality. A Bayesian spatial durbin probit model is used to survey data collected from farmers in the Waikato region of New Zealand. The results show that farmers located near each other exhibit similar choice behaviour, indicating the importance of farmer interactions in adoption decisions. The results also address that information acquisition is the most important de… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

4
16
0
1

Year Published

2018
2018
2024
2024

Publication Types

Select...
8

Relationship

2
6

Authors

Journals

citations
Cited by 17 publications
(21 citation statements)
references
References 19 publications
4
16
0
1
Order By: Relevance
“…'Distance to focus farm' indicates the existence of spatial effects, with a negative and significant associated coefficient. This indicates farmers close to focus farms are more likely to participate in the PEP (Asfawa et al, 2016;Ogutu et al, 2018;Yang & Sharp, 2017).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…'Distance to focus farm' indicates the existence of spatial effects, with a negative and significant associated coefficient. This indicates farmers close to focus farms are more likely to participate in the PEP (Asfawa et al, 2016;Ogutu et al, 2018;Yang & Sharp, 2017).…”
Section: Resultsmentioning
confidence: 99%
“…In the literature on practice adoption, the importance of spatial dependence effects is well understoodspatial dependence influences the decisions of spatial units (e.g. farmers) regarding technology adoption and uptake and calibration of best practices (Läpple et al, 2017;Yang & Sharp, 2017). This fact follows Tobler's First Law of Geography: close observations are more likely to be connected than distant observations (Tobler, 1970).…”
Section: Conceptual Frameworkmentioning
confidence: 99%
“…Personal motivations are often linked to material factors, which directly influence the productive capacity and economic viability of the farm (Burton et al 2007;Macgregor and Warren 2006;Oreszczyn et al 2010;Popp et al 2007). For example a lack of financial capital is seen as a significant barrier to adoption (Yang and Sharp 2017). Another barrier is seen in labour availability, i.e.…”
Section: Introductionmentioning
confidence: 99%
“…The existence of spillover effects could lead to indirect impacts that need to be addressed in the economic evaluation of ex-ante analyses of agricultural research. One key source of the effects is the spatial or network spillovers from geographically close farmers or socially close farmers (Akerlof 1997;Yang and Sharp 2017). There is another spillover effect that has rarely been considered coming from the market, and this about the estimation of improved quality attributes was one of the unsolved issues in the Australia-NZ CBA workshop (Brennan and Davis 1996).…”
Section: Spillover Effectsmentioning
confidence: 99%