Skip to main content
Log in

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

  • Published:
Environmental Management Aims and scope Submit manuscript

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 determinant of farmers’ adoption of best management practices. Financial problems are considered a significant barrier to adopting best management practices. Overall, the existence of distance decay effect and spatial dependence in farmers’ adoption decisions highlights the importance of accounting for spatial effects in farmers’ decision-making, which emerges as crucial to the formulation of sustainable agriculture policy.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Notes

  1. A Meshblock is defined as the smallest geographic unit for which statistical data is collected by Statistics NZ. Meshblocks vary in size from part of a city block to large areas of rural land.

  2. Water bodies used to calculate the distance from farms to water bodies are refer to observable streams, rivers, and lakes in Google map with the scale of 1:8000 that is seen as an appropriate scale to see small road (http://wiki.openstreetmap.org/wiki/Zoom_levels).

References

  • Bandiera O, Rasul I (2006) Social networks and technology adoption in northern mozambique. Econ J 116(514):869–902

    Article  Google Scholar 

  • Bewsell D, Monaghan RM, Kaine G (2007) Adoption of stream fencing among dairy farmers in four new zealand catchments. Environ Manage 40(2):201–209

    Article  Google Scholar 

  • Case A (1992) Neighborhood influence and technological change. Reg Sci Urban Econ 22(3):491–508

    Article  Google Scholar 

  • Fairweather JR, Hunt LM, Rosin CJ, Campbell HR (2009) Are conventional farmers conventional? analysis of the environmental orientations of conventional New Zealand farmers*. Rural Sociol 74(3):430–454

    Article  Google Scholar 

  • Haile DT, Slangen L (2009) Estimating the willingness to pay for the benefit of AES using the contingent valuation method. J Nat Res Policy Res 1(2):139–152

    Article  Google Scholar 

  • Hassan R, Nhemachena C (2008) Determinants of African farmers’ strategies for adapting to climate change: multinomial choice analysis. Afr J Agr Resour Econ 2(1):83–104

    Google Scholar 

  • Jørgensen SL, Olsen SB, Ladenburg J, Martinsen L, Svenningsen SR, Hasler B (2013) Spatially induced disparities in users’ and non-users’ WTP for water quality improvements—Testing the effect of multiple substitutes and distance decay. Ecol Econ 92:58–66

    Article  Google Scholar 

  • Knowler D, Bradshaw B (2007) Farmers’ adoption of conservation agriculture: a review and synthesis of recent research. Food Policy 32(1):25–48

    Article  Google Scholar 

  • Kurkalova LA, Wade TR (2013) Aggregated choice data and logit models: application to environmental benign practices of conservation tillage by farmers in the state of iowa. Appl Econometr Int Devel 13(2):119–128

    Google Scholar 

  • Läpple D, Kelley H (2015) Spatial dependence in the adoption of organic drystock farming in Ireland. Eur Rev Agric Econ 42(2):315–337

    Article  Google Scholar 

  • Lewis DJ, Barham BL, Robinson B (2011) ‘Are there spatial spillovers in the adoption of clean technology? The case of organic dairy farming. Land Econ 87(2):250–267

    Article  Google Scholar 

  • Manski CF (1993) Identification of endogenous social effects: the reflection problem. Rev Econ Stud 60(3):531–542

    Article  Google Scholar 

  • van Meijl H, van Tongeren F (1998) Trade, technology spillovers, and food production in China. Weltwirtsch Arch 134(3):423–449

    Article  Google Scholar 

  • Moon K, Cocklin C (2011) Participation in biodiversity conservation: motivations and barriers of Australian landholders. J Rural Stud 27(3):331–342

    Article  Google Scholar 

  • Pace KR, LeSage JP (2009) Spatial econometrics. In: Alan E. et al. (Eds.) Handbook of Spatial Statistics, CRC Press, NW: pp 245–260

  • Parminter TG, Tarbotton IS, Kokich C (1998) A study of farmer attitudes towards riparian management practices. In proceedings of the New Zealand grassland association, 60: 255–258

  • Rahelizatovo NC, Gillespie JM (2004) Factors influencing the implementation of best management practices in the dairy industry. J Soil Water Conserv 59(4):166–175

    Google Scholar 

  • Rhodes HM, Leland JLS, Niven BE (2002) Farmers, streams, information, and money: does informing farmers about riparian management have any effect? Environ Manage 30(5):0665–0677

    Article  Google Scholar 

  • Seo SN, Mendelsohn R (2008) An analysis of crop choice: adapting to climate change in South american farms. Ecol Econ 67(1):109–116

    Article  Google Scholar 

  • Sutherland RJ, Walsh RG (1985) Effect of distance on the preservation value of water quality. Land Econ 61(3):281–291

    Article  Google Scholar 

  • Vanslembrouck I, Van Huylenbroeck G, Verbeke W (2002) Determinants of the willingness of belgian farmers to participate in agri-environmental measures. J Agr Econ 53(3):489–511

    Article  Google Scholar 

  • Waikato Regional Council (2014) Upper Waikato zone plan. Waikato regional council policy series. http://www.waikatoregion.govt.nz/zoneplans/. Accessed 3 Jun 2016

  • Whittaker G, Färe R, Srinivasan R, Scott DW (2003) Spatial evaluation of alternative nonpoint nutrient regulatory instruments. Water Resour Res 39(4):1079

    Article  Google Scholar 

  • Wollni M, Andersson C (2014) Spatial patterns of organic agriculture adoption: evidence from Honduras. Ecol Econ 97:120–128

    Article  Google Scholar 

Download references

Acknowledgements

We wish to thank DairyNZ for providing the survey data for this study. We would like to thank for the two anonymous reviwers for their valuable comments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wei Yang.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interests.

Additional information

Wei Yang now works at AgResearch Ltd Lincoln Research Centre as a farm economist.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yang, W., Sharp, B. Spatial Dependence and Determinants of Dairy Farmers’ Adoption of Best Management Practices for Water Protection in New Zealand. Environmental Management 59, 594–603 (2017). https://doi.org/10.1007/s00267-017-0823-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00267-017-0823-6

Keywords

Navigation