| Peer-Reviewed

Eliciting Smallholder Farmers’ Tradeoffs and Preferences on the Attributes of Climate Smart Agriculture in the Breadbasket Areas of Tanzania Using a Conjoint Experiment Method

Received: 11 October 2015    Accepted: 26 October 2015    Published: 17 November 2015
Views:       Downloads:
Abstract

While policy and decision-makers are striving to enhance food security amidst maddening impacts of climate change, climate smart agriculture is thought of as a promising breakthrough for responding to climate change impacts in Tanzania and elsewhere in the world as it strives to increase food productivity; build resilience of agricultural systems to climate change impacts and reduce agricultural greenhouse gas emission. Studies show that agricultural sector is both, a cause and a victim of climate change. It significantly contributes greenhouse gases to the atmosphere. However, achieving climate change mitigation through agriculture without compromising food security is a huge policy and research challenge, some scientists say, it is practically impossible. This study sought to determine tradeoffs and preferences of smallholder farmers on the attributes climate smart agricultural practices, specifically modeling choices of smallholder farmers using choice experiment method. Upon estimating three different models, positive utilities were observed in high productivity, Moderate and low GHG emission as well as on moderate and high resilient farming systems. Smallholder farmers showed a complete disutility on low and moderate agricultural productivity, high GHG emission and low resilient farming systems. The models therefore justified the fact that, attaining more yield without a compromise in greenhouse gas emission reduction targets is a blue-sky dream. In order to concisely inform policy, more research on farmers’ preference and tradeoff on the attributes is needed to establish a scientific and logical progression about the tradeoffs people are willing to make with regard to the attributes of climate smart agriculture practices.

Published in International Journal of Environmental Protection and Policy (Volume 3, Issue 6)
DOI 10.11648/j.ijepp.20150306.12
Page(s) 188-193
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Smallholder Farmers, Preference Modeling, Climate Smart Agriculture, Choice Experiment

References
[1] AGRIFOR Consult ( 2006). Tanzania - Country Environment Study Draft Report. (Unpublished)
[2] Brouwer, R. and Schaafsma, M. (2013) Modelling risk adaptation and mitigation behavior under different climate change scenarios. Climatic Change (2013) 117:11–29 pp.
[3] Claire Schaffnit-Chatterjee (2011). Mitigating climate Change through Agriculture: An untapped Potential. Trend Research. September 19, 2011.
[4] GACP (2011). The economics of climate change in the United Republic of Tanzania. GCAP, January, 2011. Pp 149. Available at http://economics-of-cc-in-tanzania.org. accessed on 5 April 2014.
[5] Hensher D. A. (2004). How do Respondents Handle Stated Choice Experiments? - Information processing strategies under varying information load, DoD Paper #5, Institute of Transport Studies, The University of Sydney, March.
[6] IFPRI (2007). Climate Change Impacts on Food Security in Sub-Saharan Africa. Insights from Comprehensive Climate Change Scenarios. Ringler C., Zhu, T., Cai, X., Coo, J, and Wang, D. (eds.). Cambridge and New York, Cambridge University Press.
[7] IPCC (2007). Climate Change Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Annex I. M.L. Parry, O.F. Canziani, J.P. Palutikof, P.J. van der Linden and C.E. Hanson (eds.). Cambridge University Press, Cambridge, UK, pp.976.
[8] Kangalawe, R. Y. M. (2012). Food security and health in the southern highlands of Tanzania: A multidisciplinary approach to evaluate the impact of climate change and other stress factors. African Journal of Environmental Science and Technology Vol. 6(1), pp. 50-66.
[9] Lancaster, K. (1966). A new approach to consumer theory. Journal of Political Economy: 74 (1): 132–157.
[10] Lasco, R.D., Habito, C. M. D, Delfifino, R. J. P., Pulhin, F.B. and Concepcion, R.N. (2011). Climate Change Adaptation for Smallholder Farmers in Southeast Asia. World Agroforestry Centre (ICRAF), Laguna, Philippines. pp. 69.
[11] McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In: Zarembka, P. (Ed.), Frontiers in Econometrics. Academic Press, New York.
[12] Mongi, H.. Majule, A and J. G. Lyimo (2010). Vulnerability Assessment of Rain Fed Agriculture to Climate Change and Variability in Semi-Arid Tanzania. African Journal of Environmental Science and Technology, Vol. 4: (6): pp. 371-381.
[13] Msangi S, Rosegrant MW, You L (2006). Ex post assessment methods of climate forecast impacts. Clim Res 33:pp.67–97.
[14] Mussa, K. R., Mjemah, I.C and Malisa, E.T. (2012). The role of development projects in strengthening community-based adaptation strategies: The case of Uluguru Mountains Agricultural Development Project (UMADEP)-Morogoro-Tanzania. International Journal of Agricultural Sciences, Vol. 2 (6), pp.157-165.
[15] Mwandosya, M. K. (2007). Report to Plenary Session of the United Nation High Level Meeting on Adaptation to Climate Change. Permanent Mission of the United Republic of Tanzania to the United Nation, Dar es Salaam, 2007.
[16] Rajmis, S, Barkmann, J., and Marggraf, R. (2009). User community preferences for climate change mitigation and adaptation measures around Hainich National Park, Germany. Climate Research. 61-73pp.
[17] Train, K. (2003), Discrete Choice Methods with Simulation, New York: Cambridge University Press.
[18] United Republic of Tanzania (2007). National Adaptation Programme of Action (NAPA). Vice President’s Office, Division of Environment. Dar es Salaam, 2007.
[19] Veldhuizena, L.J.L., Tapsuwanb, S. and Burtonc, M. (2011). Adapting to climate change: Are people willing to pay or change? 19th International Congress on Modeling and Simulation, Perth, Australia, 12–16 December 2011. pp.7.
[20] Wongbusarakum, S and Loper, C. (2011). Indicators to assess community‐level social vulnerability to climate change: An addendum to SocMon and SEM‐Pasifika Regional Socio-economic Monitoring Guidelines. pp. 41.
[21] Yanda, P. Z. Kangalawe, R. Y. M. and Sigalla, R. J. (2006). Climatic and Socio-Economic Influences on Malaria and Cholera Risks in the Lake Victoria Region of Tanzania. ICIFAI Journal of Environmental Economics, Vol. 4, No. 3, 2006, pp. 44-70.
Cite This Article
  • APA Style

    Kassim R. Mussa, Josephat A. Saria, Lughano J. M. Kusiluka, Noorali T. Jiwaji, Brown Gwambene, et al. (2015). Eliciting Smallholder Farmers’ Tradeoffs and Preferences on the Attributes of Climate Smart Agriculture in the Breadbasket Areas of Tanzania Using a Conjoint Experiment Method. International Journal of Environmental Protection and Policy, 3(6), 188-193. https://doi.org/10.11648/j.ijepp.20150306.12

    Copy | Download

    ACS Style

    Kassim R. Mussa; Josephat A. Saria; Lughano J. M. Kusiluka; Noorali T. Jiwaji; Brown Gwambene, et al. Eliciting Smallholder Farmers’ Tradeoffs and Preferences on the Attributes of Climate Smart Agriculture in the Breadbasket Areas of Tanzania Using a Conjoint Experiment Method. Int. J. Environ. Prot. Policy 2015, 3(6), 188-193. doi: 10.11648/j.ijepp.20150306.12

    Copy | Download

    AMA Style

    Kassim R. Mussa, Josephat A. Saria, Lughano J. M. Kusiluka, Noorali T. Jiwaji, Brown Gwambene, et al. Eliciting Smallholder Farmers’ Tradeoffs and Preferences on the Attributes of Climate Smart Agriculture in the Breadbasket Areas of Tanzania Using a Conjoint Experiment Method. Int J Environ Prot Policy. 2015;3(6):188-193. doi: 10.11648/j.ijepp.20150306.12

    Copy | Download

  • @article{10.11648/j.ijepp.20150306.12,
      author = {Kassim R. Mussa and Josephat A. Saria and Lughano J. M. Kusiluka and Noorali T. Jiwaji and Brown Gwambene and Noah M. Pauline and Nangware K. Msofe and Juma A. Tegeje and Innocent Messo and Sixbert S. Mwanga},
      title = {Eliciting Smallholder Farmers’ Tradeoffs and Preferences on the Attributes of Climate Smart Agriculture in the Breadbasket Areas of Tanzania Using a Conjoint Experiment Method},
      journal = {International Journal of Environmental Protection and Policy},
      volume = {3},
      number = {6},
      pages = {188-193},
      doi = {10.11648/j.ijepp.20150306.12},
      url = {https://doi.org/10.11648/j.ijepp.20150306.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepp.20150306.12},
      abstract = {While policy and decision-makers are striving to enhance food security amidst maddening impacts of climate change, climate smart agriculture is thought of as a promising breakthrough for responding to climate change impacts in Tanzania and elsewhere in the world as it strives to increase food productivity; build resilience of agricultural systems to climate change impacts and reduce agricultural greenhouse gas emission. Studies show that agricultural sector is both, a cause and a victim of climate change. It significantly contributes greenhouse gases to the atmosphere. However, achieving climate change mitigation through agriculture without compromising food security is a huge policy and research challenge, some scientists say, it is practically impossible. This study sought to determine tradeoffs and preferences of smallholder farmers on the attributes climate smart agricultural practices, specifically modeling choices of smallholder farmers using choice experiment method. Upon estimating three different models, positive utilities were observed in high productivity, Moderate and low GHG emission as well as on moderate and high resilient farming systems. Smallholder farmers showed a complete disutility on low and moderate agricultural productivity, high GHG emission and low resilient farming systems. The models therefore justified the fact that, attaining more yield without a compromise in greenhouse gas emission reduction targets is a blue-sky dream. In order to concisely inform policy, more research on farmers’ preference and tradeoff on the attributes is needed to establish a scientific and logical progression about the tradeoffs people are willing to make with regard to the attributes of climate smart agriculture practices.},
     year = {2015}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Eliciting Smallholder Farmers’ Tradeoffs and Preferences on the Attributes of Climate Smart Agriculture in the Breadbasket Areas of Tanzania Using a Conjoint Experiment Method
    AU  - Kassim R. Mussa
    AU  - Josephat A. Saria
    AU  - Lughano J. M. Kusiluka
    AU  - Noorali T. Jiwaji
    AU  - Brown Gwambene
    AU  - Noah M. Pauline
    AU  - Nangware K. Msofe
    AU  - Juma A. Tegeje
    AU  - Innocent Messo
    AU  - Sixbert S. Mwanga
    Y1  - 2015/11/17
    PY  - 2015
    N1  - https://doi.org/10.11648/j.ijepp.20150306.12
    DO  - 10.11648/j.ijepp.20150306.12
    T2  - International Journal of Environmental Protection and Policy
    JF  - International Journal of Environmental Protection and Policy
    JO  - International Journal of Environmental Protection and Policy
    SP  - 188
    EP  - 193
    PB  - Science Publishing Group
    SN  - 2330-7536
    UR  - https://doi.org/10.11648/j.ijepp.20150306.12
    AB  - While policy and decision-makers are striving to enhance food security amidst maddening impacts of climate change, climate smart agriculture is thought of as a promising breakthrough for responding to climate change impacts in Tanzania and elsewhere in the world as it strives to increase food productivity; build resilience of agricultural systems to climate change impacts and reduce agricultural greenhouse gas emission. Studies show that agricultural sector is both, a cause and a victim of climate change. It significantly contributes greenhouse gases to the atmosphere. However, achieving climate change mitigation through agriculture without compromising food security is a huge policy and research challenge, some scientists say, it is practically impossible. This study sought to determine tradeoffs and preferences of smallholder farmers on the attributes climate smart agricultural practices, specifically modeling choices of smallholder farmers using choice experiment method. Upon estimating three different models, positive utilities were observed in high productivity, Moderate and low GHG emission as well as on moderate and high resilient farming systems. Smallholder farmers showed a complete disutility on low and moderate agricultural productivity, high GHG emission and low resilient farming systems. The models therefore justified the fact that, attaining more yield without a compromise in greenhouse gas emission reduction targets is a blue-sky dream. In order to concisely inform policy, more research on farmers’ preference and tradeoff on the attributes is needed to establish a scientific and logical progression about the tradeoffs people are willing to make with regard to the attributes of climate smart agriculture practices.
    VL  - 3
    IS  - 6
    ER  - 

    Copy | Download

Author Information
  • Department of Physical Sciences, Sokoine University of Agriculture, Morogoro-Tanzania

  • Department of Environmental Studies, Open University of Tanzania, Dar es Salaam-Tanzania

  • Faculty of Veterinary Medicine, Sokoine University of Agriculture, Morogoro-Tanzania

  • Department of Environmental Studies, Open University of Tanzania, Dar es Salaam-Tanzania

  • Institute of Resource Assessment, University of Dares Salaam, Dar es Salaam-Tanzania

  • Institute of Resource Assessment, University of Dares Salaam, Dar es Salaam-Tanzania

  • Department of Environmental Studies, Open University of Tanzania, Dar es Salaam-Tanzania

  • Department of Physical Sciences, Sokoine University of Agriculture, Morogoro-Tanzania

  • Department of Environmental Studies, Open University of Tanzania, Dar es Salaam-Tanzania

  • Institute of Resource Assessment, University of Dares Salaam, Dar es Salaam-Tanzania

  • Sections