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Farm types and farmer motivations to adapt: Implications for design of sustainable agricultural interventions in the rubber plantations of South West China

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  • Hammond, James
  • van Wijk, Mark T.
  • Smajgl, Alex
  • Ward, John
  • Pagella, Tim
  • Xu, Jianchu
  • Su, Yufang
  • Yi, Zhuangfang
  • Harrison, Rhett D.

Abstract

Tropical land use is one of the leading causes of global environmental change. Sustainable agricultural development aims to reduce the negative environmental impacts of tropical land use whilst enhancing the well-being of the smallholder farmers residing in those areas. Interventions with this goal are typically designed by scientists educated in the Western tradition, and often achieve lower than desired uptake by smallholder farmers. We build on work done in farm type classification and studies of factors that influence adaptation, trialling a suite of household survey questions to elucidate the motivational factors that influence a farmer's willingness to adapt to external change. Based on a sample of 1015 households in the rubber growing region of Xishuangbanna, South-west China, we found that farm types based on structural characteristics (e.g. crops, livelihoods) could not be used to accurately predict farmers' motivations to adapt. Amongst all six farm types identified, the full range of motivational typologies was found. We found six motivational types, from most to least likely to adapt, named: Aspirational Innovators, Conscientious, Copy Cats, Incentive-centric, Well Settled, and Change Resistant. These groups roughly corresponded with those identified in literature regarding diffusion of innovations, but such classifications are rarely used in development literature. We predict that only one third of the population would be potentially willing to trial a new intervention, and recommend that those sectors of the population should be identified and preferentially targeted by development programs. Such an approach requires validation that these motivational typologies accurately predict real behaviour – perhaps through a panel survey approach. Dedicated data gathering is required, beyond what is usually carried out for ex-ante farm typologies, but with some refinements of the methodology presented here the process need not be onerous. An improved suite of questions to appraise farmers' motivations might include value orientations, life satisfaction, and responses to various scenarios, all phrased to be locally appropriate, with a scoring system that uses the full range of potential scores and a minimum of follow up and peripheral questions.

Suggested Citation

  • Hammond, James & van Wijk, Mark T. & Smajgl, Alex & Ward, John & Pagella, Tim & Xu, Jianchu & Su, Yufang & Yi, Zhuangfang & Harrison, Rhett D., 2017. "Farm types and farmer motivations to adapt: Implications for design of sustainable agricultural interventions in the rubber plantations of South West China," Agricultural Systems, Elsevier, vol. 154(C), pages 1-12.
  • Handle: RePEc:eee:agisys:v:154:y:2017:i:c:p:1-12
    DOI: 10.1016/j.agsy.2017.02.009
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    3. Adelhart Toorop, Roos & Ceccarelli, Viviana & Bijarniya, Deepak & Jat, Mangi Lal & Jat, Raj Kumar & Lopez-Ridaura, Santiago & Groot, Jeroen C.J., 2020. "Using a positive deviance approach to inform farming systems redesign: A case study from Bihar, India," Agricultural Systems, Elsevier, vol. 185(C).
    4. Kabirigi, Michel & Sekabira, Haruna & Sun, Zhanli & Hermans, Frans, 2023. "The use of mobile phones and the heterogeneity of banana farmers in Rwanda," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 25(6), pages 5315-5335.
    5. Kaiwen Su & Jie Ren & Jie Yang & Yilei Hou & Yali Wen, 2020. "Human-Elephant Conflicts and Villagers’ Attitudes and Knowledge in the Xishuangbanna Nature Reserve, China," IJERPH, MDPI, vol. 17(23), pages 1-16, November.
    6. Kabirigi, Michel & Sun, Zhanli & Hermans, Frans, 2021. "Potential of Using ICT Tools for Crop Diseases Management among Heterogenous Farmers in Rwanda," 61st Annual Conference, Berlin, Germany, September 22-24, 2021 317054, German Association of Agricultural Economists (GEWISOLA).
    7. Meunier, Clémentine & Martin, Guillaume & Barnaud, Cécile & Ryschawy, Julie, 2024. "Bucking the trend: Crop farmers' motivations for reintegrating livestock," Agricultural Systems, Elsevier, vol. 214(C).
    8. Hammond, Jim & Rosenblum, Nathaniel & Breseman, Dana & Gorman, Léo & Manners, Rhys & van Wijk, Mark T. & Sibomana, Milindi & Remans, Roseline & Vanlauwe, Bernard & Schut, Marc, 2020. "Towards actionable farm typologies: Scaling adoption of agricultural inputs in Rwanda," Agricultural Systems, Elsevier, vol. 183(C).
    9. Jue Wang & Haiwei Jiang & Yuan He, 2023. "Determinants of Smallholder Farmers’ Income-Generating Activities in Rubber Monoculture Dominated Region Based on Sustainable Livelihood Framework," Land, MDPI, vol. 12(2), pages 1-17, January.
    10. Daxini, Amar & O’Donoghue, Cathal & Ryan, Mary & Buckley, Cathal & Barnes, Andrew P., 2018. "Factors influencing farmers' intentions to adopt nutrient management planning: accounting for heterogeneity," 166th Seminar, August 30-31, 2018, Galway, West of Ireland 276183, European Association of Agricultural Economists.
    11. Komarek, Adam M. & Kwon, Hoyoung & Haile, Beliyou & Thierfelder, Christian & Mutenje, Munyaradzi J. & Azzarri, Carlo, 2019. "From plot to scale: ex-ante assessment of conservation agriculture in Zambia," Agricultural Systems, Elsevier, vol. 173(C), pages 504-518.
    12. Matthew C. LaFevor, 2022. "Characterizing Agricultural Diversity with Policy-Relevant Farm Typologies in Mexico," Agriculture, MDPI, vol. 12(9), pages 1-19, August.

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