Agents for diffusion of agricultural innovations for environmental outcomes

Brown, Philip H.; Hart, Georgina; Small, Bruce; Munguia, Oscar Montes de Oca

doi:10.1016/j.landusepol.2016.04.017

Cited by 28 publications

(27 citation statements)

References 19 publications

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“…The academic literature further shows that higher levels of education completed lead to higher adoption of best management practices and to higher adoption of novel technologies [4][5][6][7][8], including those using this dataset [9,42,50]. This paper shows that post-secondary education in a relevant field is positively associated with adoption for three of the best management practices, while post-secondary education in a non-relevant field is negatively correlated with adoption of a fourth.…”

Section: Discussionmentioning

confidence: 86%

“…The empirical analysis is based on the 2015 Survey of Rural Decision Makers (SRDM) [41][42][43], a large, Internet-based survey that covers both commercial production and lifestyle farming in all 16 regions of New Zealand. In contrast to many existing datasets, these rich data allow for analysis that emphasizes relevance of study (rather than years of education) and decision-making authority (rather than gender of the respondent) in assessing the relationship between education and outcomes such as profitability, adoption of best management practices, future plans, values and norms, and adoption of novel technologies.…”

Section: Survey Of Rural Decision Makersmentioning

confidence: 99%

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Gender, Educational Attainment, and Farm Outcomes in New Zealand

Brown

2019

Land

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Empirical studies of farm outcomes that rely on survey data often find important roles for education and gender. However, relatively few studies consider either field of study or gender of the decision maker (as opposed to gender of the survey respondent). This paper evaluates how the field of education and gender of decision makers correlate with profitability, farm management, future intentions, risk and norms, and adoption of novel technologies in New Zealand, explicitly accounting for the fact that many farming households make decisions jointly. Findings show that post-secondary education in a relevant field is a strong predictor of farm outcomes such as adoption of best management practices, plans to convert or intensify land use, risk tolerance, and adoption of novel technologies. Male sole decision makers (vis-à-vis joint decision makers) are more likely to have adopted best management practices and to have greater risk tolerance while female sole decision makers have adopted fewer novel technologies. These results have important implications for policy makers and extension officers who wish to encourage the uptake of best management practices and who wish to better understand future land-use change.

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Section: Discussionmentioning

confidence: 86%

Section: Survey Of Rural Decision Makersmentioning

confidence: 99%

Gender, Educational Attainment, and Farm Outcomes in New Zealand

Brown

2019

Land

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“…External economies of scale exist when average costs decrease when the number of users of the innovation increases (Agnolucci & McDowall, 2007). Another factor that will help the uptake of an innovation is the possibility to see the effects of the innovation demonstrated (Brown et al, 2016). Farms can learn about innovations by observing and interacting with other farms (Small, Brown & Montes de Oca Munguia, 2016).…”

Section: Effects Of Cumulative Effects Illustrated By Innovationsmentioning

confidence: 99%

“…Mechanism 2: Learning Adoption of new agricultural knowledge and practice is more likely after farmers are able to see them successfully demonstrated (Brown et al, 2016). Examples of the importance of learning as a potential driver for innovation in the agricultural sector can be found in Marra, Pannell & Ghadim (2003), Panell et al (2006), Hogarth (2017), Olde, Carsjens & Eilers (2017), Dogliotti et al (2014), and Šūmane et al (2017).…”

Section: Mechanism 2: Learningmentioning

confidence: 99%

“…The adoption of innovations is positively influenced by external economies of scale (e.g. cost sharing, Agnolucci & McDowall, 2007), when the usefulness can be demonstrated (Brown et al, 2016), and when the innovation is part of social capital (Perman et al, 2011). Besides these mechanisms other factors that may play a role are ease of operation, image, riskiness, visibility, voluntariness, divisibility and communicability (Kapoor, Dwivedi & Williams, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Complexity in land use change; the case of the Dutch dairy sector

Groeneveld

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2.1. Introduction 2.2. Background 2.3. Method 2.4. Results 2.5. Sensitivity Analysis 2.6. Discussion 2.7. Conclusions Appendix 2A. Model description Appendix 2B. Data used Appendix 2C. Additional model results Appendix 2D. Sensitivity Analysis Chapter 3 Complex dynamics in the uptake of new farming practices: a case study for organic waste application Abstract 3.1. Introduction 3.2. Methods 3.3. Results 3.4. Discussion 3.5. Conclusions Appendix 3A. Farm model Appendix 3B. Exogenous values for determining utility functions Appendix 3C. Sensitivity analysis Appendix 3D. Weights for profit, sustainability and labour Chapter 4 Effects on participation and biodiversity of reforming the implementation of agri-environmental schemes in the Netherlands Abstract 4.1. Introduction 4.2. Methods 4.3. Data 4.4. Experimental design 4.5. Results 4.6. Conclusions and Discussion Appendix 4A. GAMS model Appendix 4B. Sensitivity analysis Chapter 5 Effects of changing social influence on participation and biodiversity in agri-environmental schemes in the Netherlands Abstract 5.1. Introduction 5.2. Modelling framework 5.3. Study area 5.4. Method and Data 5.5. Model 5.6. Scenarios 5.7. Results 5.8. Conclusions and Discussion Appendix 5A. Determining the weights of the farmer Appendix 5B. Indicator species and biodiversity scores Appendix 5C. Mathematical programming models Appendix 5D. Variation in model runs Appendix 5E. Initial weights Chapter 6 Conclusions and Discussion References Summary Acknowledgements

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Policy and Practice Certainty for Effective Uptake of Diffuse Pollution Practices in A Light-Touch Regulated Country

Knook

Dynes

Pinxterhuis

et al. 2019

Environmental Management

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Although the link between agriculture and diffuse water pollution has been understood for decades, there is still a need to implement effective measures to address this issue. In countries with light-touch regulation, such as New Zealand and Australia, most efforts to promote environmental management practices have relied on voluntary initiatives such as participatory research and extension programmes; the success of which is largely dependent on farmers' willingness and ability to adopt these practices. Increased understanding of the factors influencing farmer decision-making in this area would aid the promotion of effective advisory services. This study provides insights from 52 qualitative interviews with farmers and from observations of nine farmer meetings and field days. We qualitatively identify factors that influence farmer decision-making regarding the voluntary uptake of water quality practices and develop a typology for categorising farmers according to the factors that influence their decision-making. We find that in light-touch regulated countries certainty around policy and also around the effectiveness of practices is essential, particularly for farmers who delay action until compelled to act due to succession or regulation. The contribution of this paper is threefold: (i) it identifies factors influencing decisionmaking around the uptake of water quality practices in a light-touch regulated country; (ii) it develops a typology of different farmer types; and (iii) it provides recommendations on policy approaches for countries with light-touch regulation, which has potential relevance for any countries facing changes regarding their agricultural policy, such as post-Brexit policy in the UK.

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Agents for diffusion of agricultural innovations for environmental outcomes

Cited by 28 publications

References 19 publications

Gender, Educational Attainment, and Farm Outcomes in New Zealand

Gender, Educational Attainment, and Farm Outcomes in New Zealand

Complexity in land use change; the case of the Dutch dairy sector

Policy and Practice Certainty for Effective Uptake of Diffuse Pollution Practices in A Light-Touch Regulated Country

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