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Farm-Level Income Generation Microsimulation Model

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Book cover Farm-Level Microsimulation Modelling

Abstract

In order to be able to model dynamic policy or market changes, one needs to understand the production process in more detail. In this chapter, we develop a dynamic microsimulation model built around farm-level production, cost, supply and demand functions that are estimated on farm-level data. These can be used to model counterfactual changes to market prices, etc. In this chapter, we estimate a system of equations utilising panel data that at the farm level, with individual demand for inputs and supply of outputs. We, in particular, incorporate the impact of detailed agronomic drivers of farm level outputs using geo-referenced data. A detailed ex-post and ex-ante validation evaluation is undertaken to assess the simulation performance of the models. We utilise the modelling framework to consider the impact of exchange rate changes on farm-level behaviour as a result of the UK’s decision to leave the EU. The conclusions amplifying the static analysis in Chapter 3, of the divide between dairy on the one hand and cattle and sheep on the other due to the impact of price changes on stocking rate decisions as well as long-term productivity growth.

Co-authored with Steven Conroy and John Cullinan

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References

  • Bargain, O., & Callan, T. (2010). Analysing the effects of tax-benefit reforms on income distribution: a decomposition approach. Journal of Economic Inequality, 8(1), 1–21.

    Article  Google Scholar 

  • Blinder, A. S. (1973). Wage discrimination: Reduced form and structural estimates. Journal of Human Resources, 8(4), 436–455.

    Article  Google Scholar 

  • Bourguignon, F., Fournier, M., & Gurgand, M. (2001). Fast development with a stable income distribution: Taiwan, 1979-94. Review of Income and Wealth, 47(2), 139–163.

    Article  Google Scholar 

  • Bourguignon, F., Ferreira, F. H. G., & Leite, P. G. (2008). Beyond Oaxaca-Blinder: Accounting for differences in households income distributions. Journal of Economic Inequality, 6(2), 117–148.

    Article  Google Scholar 

  • Buysse, J., Van Huylenbroeck, G., & Lauwers, L. (2007). Normative, positive and econometric mathematical programming as tools for incorporation of multifunctionality in agricultural policy modelling. Agriculture, Ecosystems & Environment, 120(1), 70–81.

    Article  Google Scholar 

  • Callan, T., van Soest, A., & Walsh, J. (2009). Tax structure and female labour supply: Evidence from Ireland. Labour, 23(1), 1–35.

    Article  Google Scholar 

  • Conroy, S., O’Donoghue, C., & Cullinan, J. (2017). Assessing the importance of agronomic and environmental characteristics for farm level yield and intensity on Pastoral based livestock systems. Mimeo.

    Google Scholar 

  • DiNardo, J., Fortin, N., & Lemieux, T. (1996). Labor market institutions and the distribution of wages, 1973-1992: A semi-parametric approach. Econometrica, 64(5), 1001–1044.

    Article  Google Scholar 

  • Dominati, E., Patterson, M., & Mackay, A. (2010). A framework for classifying and quantifying the natural capital and ecosystem services of soils. Ecological Economics, 69(9), 1858–1868.

    Article  Google Scholar 

  • Ekins, P., Simon, S., Deutsch, L., Folke, C., & De Groot, R. (2003). A framework for the practical application of the concepts of critical natural capital and strong sustainability. Ecological Economics, 44(2), 165–185.

    Article  Google Scholar 

  • Heckelei, T., Britz, W., & Zhang, Y. (2012). Positive mathematical programming approaches–recent developments in literature and applied modelling. Bio-based and Applied Economics, 1(1), 109–124.

    Google Scholar 

  • Hennessy, T., Moran, B., Kinsella, A., & Quinlan, G. (2011). National farm survey 2010. Teagasc, Ireland: Agricultural Economics & Farm Surveys Department.

    Google Scholar 

  • Herrero, M., Fawcett, R. H., & Dent, J. B. (1996). Integrating simulation models to optimise nutrition and management for dairy farms: A methodology. In J.B. Dent et al. (eds.), Livestock farming systems: Research, development, socio-economics and the land manager (pp. 322–326). European Association for Animal Production Publication No. 79. The Netherlands: Wageiningen Pers.

    Google Scholar 

  • Herrero, M., Gonzalez-Estrada, E., Thornton, P. K., Quiros, C., Waithaka, M. M., Ruiz, R., et al. (2007). IMPACT: Generic household-level databases and diagnostics tools for integrated crop–livestock systems analysis. Agricultural Systems, 92, 240–265.

    Article  Google Scholar 

  • Herrero, M., Havlík, P., Valin, H., Notenbaert, A., Rufino, M. C., Thornton, P. K., et al. (2013). Biomass use, production, feed efficiencies, and greenhouse gas emissions from global livestock systems. Proceedings of the National Academy of Sciences, 110(52), 20888–20893.

    Article  Google Scholar 

  • Howitt, R. E. (1995a). A calibration method for agricultural economic production models. Journal of Agricultural Economics, 46(2), 147–159.

    Article  Google Scholar 

  • Howitt, R. E. (1995b). Positive mathematical programming. American Journal of Agricultural Economics, 77(2), 329–342.

    Article  Google Scholar 

  • Jones, J. W., Hoogenboom, G., Porter, C. H., Boote, K. J., Batchelor, W. D., Hunt, L. A., et al. (2003). The DSSAT cropping system model. European Journal of Agronomy, 18(3–4), 235–265.

    Article  Google Scholar 

  • Keating, B. A., Carberry, P. S., Hammer, G. L., Probert, M. E., Robertson, M. J., Holzworth, D., et al. (2003). An overview of APSIM, a model designed for farming systems simulation. European Journal of Agronomy, 18, 267–288.

    Article  Google Scholar 

  • Oaxaca, R. L. (1973). Male-Female wage differentials in urban labor markets. International Economic Review, 14(3), 693–709.

    Article  Google Scholar 

  • O’Donoghue, C. (2014). Handbook of microsimulation modelling. Bingley: Emerald Group Publishing Limited.

    Google Scholar 

  • Ramilan, T., Scrimgeour, F., & Marsh, D. (2011). Analysis of environmental and economic efficiency using a farm population micro-simulation model. Mathematics and Computers in simulation, 81(7), 1344–1352.

    Article  Google Scholar 

  • Rodriguez, D., Cox, H., deVoil, P., & Power, B. (2014). A participatory whole farm modeling approach to understand impacts and increase preparedness to climate change in Australia. Agricultural Systems, 126, 50–61.

    Article  Google Scholar 

  • Rufino, M., Herrero, M., van Wijk, M., Hemerink, R., de Ridder, N., & Giller, K. (2009). Lifetime productivity of dairy cows in smallholder systems in the highlands of Kenya. Journal of Animal Science, 3, 1044–1056.

    Google Scholar 

  • Sckokai, P., & Moro, D. (2009). Modelling the impact of the CAP single farm payment on farm investment and output. European Review of Agricultural Economics, 36, 1945–1959.

    Article  Google Scholar 

  • Stöckle, C. O., Donatelli, M., & Nelson, R. (2003). CropSyst, a cropping systems simulation model. European Journal of Agronomy, 18, 289–307.

    Article  Google Scholar 

  • van Leeuwan, E. S. (2013). Determinants of off-farm income and its local patterns: A spatial microsimulation of Dutch farmers. Journal of Rural Studies, 31, 55–66.

    Article  Google Scholar 

  • Van Soest, A. (1995). Structural models of family labour supply: A discrete choice approach. Journal of Human Resources, 30(1), 63–88.

    Article  Google Scholar 

  • van Wijk, M. T., Tittonell, P., Rufino, M. C., Herrero, M., Pacini, C., Ridder, N., et al. (2009). Identifying key entry-points for strategic management of smallholder farming systems in sub-Saharan Africa using the dynamic farm-scale simulation model NUANCES-FARMSIM. Agricultural Systems, 102, 89–101.

    Article  Google Scholar 

  • van Wijk, M., Rufino, M., Enahoro, D., Parsons, D., Silvestri, S., Valdivia, R. O., et al. (2014). Farm household models to analyse food security in a changing climate: A review. Global Food Security, 3, 77–84.

    Article  Google Scholar 

  • Vayssières, J., Guerrin, F., Paillat, J. M., & Lecomte, P. (2009). GAMEDE: A global activity model for evaluating the sustainability of dairy enterprises Part I—Whole-farm dynamic model. Agricultural Systems, 101, 128–138.

    Article  Google Scholar 

  • Wallach, D., Makowski, D., Jones, J. W., & Brun, F. (2014). Working with dynamic crop models: Methods, tools and examples for agriculture and environment (2nd ed.). Waltham, MA: Academic Press.

    Google Scholar 

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Authors and Affiliations

  1. Rural Economy and Development Programme, Athenry, Galway, Ireland

    Cathal O’Donoghue

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  1. Cathal O’Donoghue
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Correspondence to Cathal O’Donoghue .

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O’Donoghue, C. (2017). Farm-Level Income Generation Microsimulation Model. In: Farm-Level Microsimulation Modelling. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-63979-6_7

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  • DOI: https://doi.org/10.1007/978-3-319-63979-6_7

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  • 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)

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