Skip to main content

Behavioural Microsimulation Modelling: Agri-Environmental Schemes

  • Chapter
  • First Online:
Farm-Level Microsimulation Modelling
  • 352 Accesses

Abstract

Given the interaction between agriculture, as a major land use and the environment, there has been increasing concern about environmental outcomes and agriculture. One of the policy levers that has been used has been the development of voluntary agri-environmental schemes (AES), where financial incentives are provided for farmers to farm in environmentally sustainable ways. In this chapter, we develop a behavioural choice model to understand farmer behaviour in relation to scheme participation. Drawing upon the literature developed within the behavioural labour supply microsimulation literature, where actual choice information in relation to structural drivers such as income and labour, together with simulated counterfactual data, are combined in the estimation of a choice model that captures the behavioural parameters of a utility function. Also in this chapter, we utilise the income generation model described in Chapter 7 to simulate farm market income, costs, subsidies and labour for the counterfactual or non-chosen choice. So, for example, we observe the data for actual participants and so we simulate the characteristics for non-participation and vice versa for actual non-participants. These data are combined as choice specific attributes in the estimation of a utility function containing the preference parameters for the choice. The restricted model shows that Irish farmers behave rationally, maximising utility from consumption through farm income and AES payments. Results from the unrestricted model show that farmers’ utility-maximising behaviour with regard to the AES participation decision is complex, changing regionally and over time. Participation functions of viable and non-viable farmers differ in many ways.

Co-authored with Ger Johnston and Stephen Hynes.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 129.00
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Aaberge, R., & Colombino, U. (2014). Labour supply models. In Handbook of microsimulation modelling (pp. 167–221). Bingley: Emerald Group Publishing Limited.

    Chapter  Google Scholar 

  • Arovuori, K. (2011). Explaining finnish farmers’ policy responses with environmental attitudes. European association of agricultural economists 2011. International Congress, August 30–September 2, 2011–2012.

    Google Scholar 

  • Bateman, I., Carson, R., Day, B., Hanemann, M., Hanley, N., Hett, T., et al. (2002). Economic valuation with stated preference techniques: A manual. Cheltenham: Edward Elgar Publishing Limited.

    Book  Google Scholar 

  • Bateman, I. J., Willis, K., & Garrod, G. (1994). Consistency between contingent valuation estimates—A comparison of two studies of UK national parks. Regional Studies, 28, 74–457.

    Article  Google Scholar 

  • Becker, G. (1993). Nobel lecture: The economic way of looking at behavior. Journal of Political Economy, 101(3), 385–409.

    Article  Google Scholar 

  • Beharry-Borg, N., Smart, J., Termansen, M., & Hubacek, K. (2013). Evaluating farmers’ likely participation in a payment programme for water quality protection in the UK uplands. Regional Enviromental Change, 13(3), 633–647.

    Article  Google Scholar 

  • Blundell, R., & Macurdy, T. (1999). Labor supply: A review of alternative approaches. In O. Ashenfelter & D. Card (Eds.), Handbook of labor economics (Vol. 5, pp. 1559–1698). Amsterdam: Elsevier.

    Chapter  Google Scholar 

  • Chang, H., & Boisvert, R. (2009). Are farmers’ decisions to work off the farm related to their decision to participate in the conservation reserve program. Applied Economics, 41, 71–85.

    Article  Google Scholar 

  • Creedy, J., & Guyonne, K. (2005). Discrete hours labour supply modelling: Specification, estimation and simulation. Journal of Economic Surveys, 19(5), 697–734.

    Article  Google Scholar 

  • Damianos, D., & Giannakopoulos, N. (2002). Farmers’ participation in agri-environmental schemes in Greece. British Food Journal, 104(3/4/5), 261–273.

    Google Scholar 

  • Defrancesco, E., Gatto, P., Runge, F., & Trestini, S. (2008). Factors affecting farmers’ participation in agri-environmental measures: A Northern Italian perspective. Journal of Agricultural Economics, 59(1), 114–131.

    Google Scholar 

  • Espinosa-Goded, M., Barreiro-Hurle, J., & Ruto, E. (2010). What do farmers want from agri-environmental scheme design? A choice experiment approach. Journal of Agricultural Economics, 61(2), 259–273.

    Article  Google Scholar 

  • Falconer, K. (2000). Farm-level constraints on agri-environmental scheme participation: A transactional perspective. Journal of rural studies, 16(3), 379–394.

    Article  Google Scholar 

  • Ferraro, P. (2008). Asymmetric information and contract design for payments for environmental services. Ecological Economics, 65, 810–821.

    Article  Google Scholar 

  • Finn, J., Bartolini, F., Bourke, D., Kurz, I., & Viaggi, D. (2009). Ex post environmental evaluation of agri-environment schemes using experts’ judgements and multicriteria analysis. Journal of Environmental Planning and Management, 52(5), 717–737.

    Article  Google Scholar 

  • Hanley, N., Wright, R., & Alvarez-Farizo, B. (2006). Estimating the economic value of improvements in river ecology using choice experiments: An application to the water framework directive. Journal of Environmental Management, 78, 183–193.

    Article  Google Scholar 

  • Hynes, S., & Garvey, E. (2009). Modelling farmers’ participation in an agri-environmental scheme using panel data. An application to the rural environment protection scheme in Ireland. Journal of Agricultural Economics, 60(3), 546–562.

    Article  Google Scholar 

  • Hynes, S., Farrelly, N., Murphy, E., & O’Donoghue, C. (2008). Modelling habitat conservation and participation in agri-environmental schemes: A spatial microsimulation approach. Ecological Economics, 66(2), 258–269.

    Article  Google Scholar 

  • Lynch, L., & Lovell, S. J. (2003). Local land markets and agricultural preservation programs. In C. Moss & A. Schmitz (Eds.), Government policy and farmland markets: The maintenance of farmer wealth (pp. 285–302). Hoboken, NJ: Wiley.

    Google Scholar 

  • Murphy, G., Hynes, S., Murphy, E., & O’Donoghue, C. (2014a). An investigation into the type of farmer who chose to participate in rural environment protection scheme (REPS) and the role of institutional change in influencing scheme effectiveness. Land Use Policy, 39, 199–210. doi:10.1016/j.landusepol.2014.02.015.

    Article  Google Scholar 

  • Murphy, G., Hynes, S., O’Donoghue, C., & Murphy, E. (2014b). An investigation into the type of farmer who chose to participate in reps and the role of institutional change in influencing scheme effectiveness. Land Use Policy, 39, 199–210.

    Article  Google Scholar 

  • Train, K. (2003). Discrete choice methods with simulation. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Van Soest, A. (1995). Structural models of family labor supply: A discrete choice approach. Journal of Human Resources, 30, 63–88.

    Article  Google Scholar 

  • Weber, J., & Key, N. (2012). How much do decoupled payments affect production? An instrumental variable approach with panel data. American Journal of Agricultural Economics, 94(1), 52–66.

    Article  Google Scholar 

  • Wilson, G. A. (1997). Factors influencing farmer participation in the environmentally sensitive areas scheme. Journal of Environmental Management, 50, 67–93. doi: 10.1006/jema.1996.0095.

    Article  Google Scholar 

  • Wynn, G., Crabtree, B., & Potts, J. (2001). Modelling farmer entry into the environmentally sensitive area schemes in Scotland. Journal of Agricultural Economics, 52(1), 65–82.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Cathal O’Donoghue .

Rights and permissions

Reprints and permissions

Copyright information

© 2017 The Author(s)

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

O’Donoghue, C. (2017). Behavioural Microsimulation Modelling: Agri-Environmental Schemes. In: Farm-Level Microsimulation Modelling. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-63979-6_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-63979-6_8

  • Published:

  • Publisher Name: Palgrave Macmillan, Cham

  • Print ISBN: 978-3-319-63978-9

  • Online ISBN: 978-3-319-63979-6

  • eBook Packages: Economics and FinanceEconomics and Finance (R0)

Publish with us

Policies and ethics