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NA0197

Jordbruksekonomiska teman för hållbar utveckling

Ämnesmässigt innehåll:


Kursen genomförs med hjälp av en obligatorisk seminariedel där den aktuella forskningen inom ämnet jordbruksekonomi behandlas. Studenterna får också identifiera och motivera behov av fortsatt forskning inom en väl avgränsad del av ämnet jordbruksekonomi, vilket presenteras i en obligatorisk inlämningsuppgift.


Kursen innehåller en genomgång av aktuella forskningsteman och metoder inom ämnet jordbruksekonomi. Studenterna får även träning i tillämpning av forskningsmetoder inom ämnet jordbruksekonomi.


Genomförande:


Kursen utnyttjar olika undervisningsformer för att främja studenternas lärande och diskussioner genom: 

Föreläsningar, seminarier, grupparbeten, egna studier och skrivande samt presentationer.


I kursen fokuseras på följande generella kompetenser: 

Muntlig presentation, vetenskapligt skrivande, kritiskt tänkande, vetenskapliga metoder, kreativitet, självständighet.


Följande moment är obligatoriska: 

Litteraturseminarier, redovisning av eget arbete.


Kursvärdering

Andra kursvärderingar för NA0197

Läsåret 2023/2024

Jordbruksekonomiska teman för hållbar utveckling (NA0197-10397)

2023-08-28 - 2023-10-30

Kursplan och övrig information

Litteraturlista

Reading list 2023

Introductory lecture

FAO (2018). The future of food and agriculture – alternative pathways to 2050. Rome.
http://www.fao.org/publications/fofa/en/

Not mandatory podcast about the future of meat: Meat the four futures by Table debates. The podcast is available where you usually listen to podcasts.

Topic 1: The food consumer behaviour

  1. Denver, S., Christensen, T., Nordström, J., 2021. Consumer preferences for low-salt foods: a Danish case study based on a comprehensive supermarket intervention. Public Health Nutr. 24, 3956–3965. https://doi.org/DOI: 10.1017/S1368980021002056
  2. Edenbrandt, A.K., Lagerkvist, C.J., Nordström, J., 2021. Interested, indifferent or active information avoider of climate labels: Cognitive dissonance and ascription of responsibility as motivating factors. Food Policy 102036. https://doi.org/https://doi.org/10.1016/j.foodpol.2021.102036
  3. Edenbrandt, A.K., Nordström, J., 2023. The Future of Carbon labelling - factors to consider. Agric. Resour. Econ. Rev. 1–17. https://doi.org/doi:10.1017/age.2022.29
  4. Faccioli, M., Law, C., Caine, C.A., Berger, N., Yan, X., Weninger, F., Guell, C., Day, B., Smith, R.D., Bateman, I.J., 2022. Combined carbon and health taxes outperform single-purpose information or fiscal measures in designing sustainable food policies. Nat. Food 3, 331–340. https://doi.org/10.1038/s43016-022-00482-2
  5. Just, D.R., Byrne, A.T., 2019. Evidence-based policy and food consumer behaviour: how empirical challenges shape the evidence. Eur. Rev. Agric. Econ. 1–23.
  6. Marette, S., Disdier, A.-C., Beghin, J.C., 2021. A comparison of EU and US consumers’ willingness to pay for gene-edited food: Evidence from apples. Appetite 159, 105064. https://doi.org/https://doi.org/10.1016/j.appet.2020.105064
  7. Smed, S., Edenbrandt, A.K., Jansen, L., 2019. The effects of voluntary front-of-pack nutrition labels on volume shares of products : the case of the Dutch Choices. Public Health Nutr. https://doi.org/10.1017/S1368980019001423

Topic 2: Animal health and welfare economics

  1. Adamie, B. A., Uehleke, R., Hansson, H., Mußhoff, O., & Hüttel, S. (2022). Dairy cow welfare measures: Can production economic data help? Sustainable Production and Consumption, 32, 296–305. https://doi.org/10.1016/J.SPC.2022.04.032
  2. Owusu-Sekyere, E., Hansson, H., Telezhenko, E., Nyman, A.-K. and Ahmed, H. (2023), "Economic impact of investment in animal welfare–enhancing flooring solutions – Implications for promoting sustainable dairy production in Sweden", British Food Journal, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/BFJ-06-2022-0523
  3. Owusu-Sekyere, E., Hansson, H., & Telezhenko, E. (2022). Use and non-use values to explain farmers’ motivation for the provision of animal welfare. European Review of Agricultural Economics, 49(2), 499–525. https://doi.org/10.1093/erae/jbab012
  4. Guy, J. H., Cain, P. J., Seddon, Y. M., Baxter, E. M., & Edwards, S. A. (2012). Economic evaluation of high welfare indoor farrowing systems for pigs. Animal Welfare, 21(SUPPL. 1), 19–24. https://doi.org/10.7120/096272812X13345905673520
  5. Bornett, H. L. I., Guy, J. H., & Cain, P. J. (2003). Impact of animal welfare on costs and viability of pig production in the UK. Journal of Agricultural and Environmental Ethics 16: 163–186, 2003
  6. Ahmadi, V., Stott, A. W., Baxter, E. M., Lawrence, A. B., & Edwards, S. A. (2011). Animal welfare and economic optimisation of farrowing systems. Animal Welfare, Volume 20, Number 1, February 2011, pp. 57-67(11).
  7. Jensen, T. B., Baadsgaard, N. P., Houe, H., Toft, N., & Østergaard, S. (2008). The association between disease and profitability in individual finishing boars at a test station. Livestock Science, 117(1), 101–108. https://doi.org/10.1016/j.livsci.2007.12.003

Topic 3: Resilient agricultural systems

Why does resilience matter?

  1. Darnhofer, I. (2021). Resilience or how do we enable agricultural systems to ride the waves of unexpected change? Agricultural Systems, 187, 102997. https://doi.org/10.1016/j.agsy.2020.102997

Darnhofer (2021) is a great introduction to why resilience matters.

What is resilience?

  1. Meuwissen, M. P. M., Feindt, P. H., Spiegel, A., Termeer, C. J. A. M., Mathijs, E., Mey, Y. de, Finger, R., Balmann, A., Wauters, E., Urquhart, J., Vigani, M., Zawalińska, K., Herrera, H., Nicholas-Davies, P., Hansson, H., Paas, W., Slijper, T., Coopmans, I., Vroege, W., … Reidsma, P. (2019). A framework to assess the resilience of farming systems. Agricultural Systems, 176, 102656. https://doi.org/10.1016/j.agsy.2019.102656

  2. Meuwissen et al. (2019) describe a five-stage framework that can be used to assess the resilience of farming systems. Central are the resilience capacities of robustness, adaptability, and transformability.

  3. Duchek, S. (2020). Organizational resilience: A capability-based conceptualization. Business Research, 13(1), 215–246. https://doi.org/10.1007/s40685-019-0085-7

Duchek (2020) introduces an additional resilience capacity: anticipation. She argues that time references matter: (i) anticipation happens before an unexpected event, (ii) coping (robustness in Meuwissen et al. (2019)) happens during an unexpected event, and (iii) adaptation (adaptability and transformability in Meuwissen et al. (2019))

How to assess resilience?

  1. Slijper, T., de Mey, Y., Poortvliet, P. M., & Meuwissen, M. P. M. (2022). Quantifying the resilience of European farms using FADN. European Review of Agricultural Economics, 49(1), 121–150. https://doi.org/10.1093/erae/jbab042

Slijper et al. (2022) attempt to empirically measure the resilience capacities of robustness, adaptation, and transformation for European farms.

  1. Srinidhi, A., Werners, S. E., Dadas, D., D’Souza, M., Ludwig, F., & Meuwissen, M. P. M. (2023). Retrospective climate resilience assessment of semi-arid farming systems in India. International Journal of Water Resources Development, 1–26. https://doi.org/10.1080/07900627.2023.2207680

Srinidhi et al. (2023) are among the first to adopt Duchek’s (2020) framework.

Topic 4: Positive mathematical programming

Compulsory reading

Arata, L, Donati, M, Sckokai, P and Arfini, F (2017). Incorporating risk in a positive mathematical programming framework: a dual approach. The Australian Journal of Agricultural and Resource Economics, 61: 265-284. https://doi.org/10.1111/1467-8489.12199

Buysse J, Van Huylenbroeck G, Lauwers L (2007) Normative, positive and econometric mathematical programming as tools for incorporation of multifunctionality in agricultural policy modelling. Agr Ecosyst Environ 120(1):70–81. https://doi.org/10.1016/j.agee.2006.03.035

Heckelei, T, and Wolff, H (2003) Estimation of constrained optimization models for agricultural supply analysis based on generalized maximum entropy. European Review of Agricultural Economics, 30(1):27-50. https://doi.org/10.1093/erae/30.1.27

Howitt RE (1995) Positive mathematical programming. Am J Agr Econ 77(2):329–342

Howitt RE (1995) Positive mathematical programming. Am J Agr Econ 77(2):329–342

Jansson, T and Waldo, S (2021). Managing Marine Mammals and Fisheries: A Calibrated Programming Model for the Seal‑Fishery Interaction in Sweden. Environmental and Resource Economics, 81: 501–530. https://doi.org/10.1007/s10640-021-00637-y

Mérel P, Bucaram S (2010) Exact calibration of programming models of agricultural supply against exogenous supply elasticities. Eur Rev Agric Econ 37(3):395–418

Röhm, O and Dabbert, S (2003) Integrating Agri-Environmental Programs into Regional Production Models: An Extension of Positive Mathematical Programming. American Journal of Agricultural Economics, 85(1): 254-265. https://doi.org/10.1111/1467-8276.00117

Extra material (not compulsory reading)

Basnet, SK, Jansson, T and Heckelei, T (2021) A Bayesian econometrics and risk programming approach for analyzing the impact of decoupled payments in the European Union. The Australian Journal of Agricultural and Resource Economics, 65(3): 729-759. https://doi.org/10.1111/1467-8489.12430

Cortignani, R and Severini, S (2009) Modeling farm-level adoption of deficit irrigation using Positive Mathematical Programming. Agricultural Water Management, 96(12): 1785-1791. https://doi.org/10.1016/j.agwat.2009.07.016

Heckelei T, Britz W, Zhang Y (2012) Positive mathematical programming approaches – recent developments in literature and applied modelling. Bio-Based Appl Econ 1(1):109–124. (available from AgeconSearch, http://doi.org/10.22004/ag.econ.125722 ).

Jansson T., Heckelei T. (2011) Estimating a primal model of regional crop supply in the European Union. Journal of Agricultural Economics, vol 62, nr 1, 137-152. https://doi.org/10.1111/j.1477-9552.2010.00270.x

Sweeney JR, Howitt RE, Ling Chan H, Pan M, Leung P (2017) How do fishery policies Affect Hawaii’s longline fishing industry? Calibrating a positive mathematical programming model. Nat Res Model 30(2):941

Kursfakta

Kursen ges som en fristående kurs: Ja Kursen ges som en programkurs: Miljöekonomi och företagsledning - masterprogram Agronom nationalekonomi Policyanalys inom jordbruk, miljö och livsmedel (AFEPA) - masterprogram Agrar ekonomi och företagsledning - masterprogram Agronomprogrammet - ekonomi Kursavgift: Studieavgift, endast för medborgare utanför EU, EES, och Schweiz: 13090 SEK Nivå: Avancerad nivå (A1F)
Ämne: Nationalekonomi
Kurskod: NA0197 Anmälningskod: SLU-20141 Plats: Uppsala Distanskurs: Nej Undervisningsspråk: Engelska Ansvarig institution: Institutionen för ekonomi Studietakt: 50%