Using the Delphi method to develop the social-ecological resilience indicators of organic rice production in Thailand
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This paper illustrates the application of the Delphi method, which assists in the production of social-ecological resilience indicators, and which are suitable for building the resilience of organic rice production in the central portion of Northeastern Thailand. Forty-seven adept farmers were purposively selected as participants, and the Delphi method was utilized as a tool by which the participants could reveal their different opinions and ideas. They were surveyed in order to visualize an organic rice system called the ‘desirable system.’ Nevertheless, such a system must be built simultaneously with certain components, the attributes of which can enable the system to withstand all kinds of change that can take place across spatial and temporal scales. The resilience literature, which is related to agro-ecological systems, had been published online during the seven previous years, and was applied to formulate questions, which were specifically aimed at establishing components that were focused upon coping and adaptive strategies. It was discovered that the inclusion of a group discussion, which had taken place with two rounds of the Delphi method, had provided a valuable means for exchanging information and responding with feedback. Given that the processes had been entirely conducted through group discussions, the voices of a few participants were, however, lost. They were dominated by the innate power expressed by other members within the group, especially the leaders. Despite this, the Delphi method was able to achieve an adequate degree of consensus among participants and was able to lead in the direction of building resilience with a significant level of confidence, which was capable of overcoming the social-ecological complexities of organic rice production. This was evidenced by the discovery of 21 social-ecological resilience indicators, which had been constructed by the engagement. Moreover, the indicators had indeed been reliable. With the support of the consensus of the participants’ judgements, which were based on their actual contexts of organic rice production in the central portion of Northeastern Thailand, the indicators were able to be validated by statistical analyses, consisting of arithmetic means (x), standard deviations (sd), and interquartile ranges (R).
ACT. (2020). The list of organic operators. Agriculture Certification Thailand (ACT). Retrieved from https://www.pier.or.th/wp-content/uploads/2019/12/pier_dp_122.pdf
Allen, C. R., Angeler, D. G., Garmestani, A. S., Gunderson, L. H., & Holling, C. S. (2014). Panarchy: theory and application. Ecosystems, 17(4), 578-589. https://doi.org/10.1007/s10021-013-9744-2
Amare, M., Jensen, N.D., Shiferaw, B., & Cisse, J.D. (2018). Rainfall shocks and agricultural productivity: Implication for rural household consumption. Agricultural Systems, 166, 79-89. https://doi.org/10.1016/j.agsy.2018.07.014
Bene, C. (2013). Towards a Quantifiable Measure of Resilience. Special Issue: Towards a Quantifiable Measure of Resilience, 434, 1-27. https://doi.org/10.1111/j.2040-0209.2013.00434.x
Bennett, N. J. (2010). Sustainable Livelihoods from Theory to Conservation Practice: An Extended Annotated Bibliography of Sustainable Livelihoods Approaches in Protected Areas Community Research. PAPR Working Paper Number 1. University of Victoria, Victoria, British Columbia, Canada. Available at https://dspace.library.uvic.ca/bitstream/handle/1828/4461/sustainable-livelihoods.pdf?sequence=1&isAllowed=y
Cabell, J., & Oelofse, M. (2012). An indicator framework for assessing agroecosystem resilience. Ecology and Society, 17(1), 18. https://doi.org/10.5751/ES-04666-170118
Caldwell, W. (2015). The agricultural system: Components, linkages, and rationale. Green Belt. Retrieved from https://d3n8a8pro7vhmx.cloudfront.net/greenbelt/pages/1402/attachments/original/1434048607/The_Agricultural_System_-_Final.pdf?1434048607
Choundhury, M. I., Haque, C. M., & Doberstein, B. (2021). Adaptive governance and community resilience to cyclones in coastal Bangladesh: Addressing the problem of fit, social learning, and institutional collaboration. Environmental Science & Policy, 124, 580-592. https://doi.org/10.1016/j.envsci.2021.08.007
Chuasuwan, C. (2018). Rice industry outlook, 2018–2020. Krungsri Research.
Ciftcioglu, G. C. (2017). Assessment of the resilience of socio-ecological production landscapes and seascapes: A case study from Lefke Region of North Cyprus. Ecological Indicators, 73, 128–138. https://doi.org/10.1016/j.ecolind.2016.09.036
Darnhofer, I. (2010). Strategies of family farms to strengthen their resilience. Environmental Policy and Governance, 20(4), 212-222. https://doi.org/10.1002/eet.547
Dawes, J. (2008). Do data characteristics change according to the number of scale points used? An experiment using 5-point, 7-point and 10-point scales. International Journal of Market Research, 50(1), 61-104. https://doi.org/10.1177%2F147078530805000106
Duchek, S., Raetze, S., & Scheuch, I. (2020). The role of diversity in organizational resilience: a theoretical framework. Business Research, 13, 387–423. https://doi.org/10.1007/s40685-019-0084-8
Else, H. (2018). How Unpaywall is transforming open science. Nature, 560(7718), 290-292. https://doi.org/10.1038/d41586-018-05968-3
FAO. (2012). Building resilience for adaptation to climate change in the agriculture sector. Proceedings of a Joint FAO/OECD Workshop. Food and Agriculture Organization of the United Nations. Retrieved from http://www.fao.org/3/i3084e/i3084e.pdf
FAO. (2019). Country fact sheet on food and agriculture policy trends (Thailand). Food and Agriculture Organization of the United Nations. Retrieved from http://www.fao.org/3/I8683EN/i8683en.pdf
Figueiredo, L., Honiden, T., & Schumann, A. (2018). Indicators for resilient cities. OECD Regional Development Working Papers 2018/02. OECD Publishing. https://doi.org/10.1787/6f1f6065-en
Folke, C. (2016). Resilience (Republished). Ecology and Society, 21(4), 44. https://doi.org/10.5751/ES-09088-210444
Folke, C., Carpenter, S., Elmqvist, T., Gunderson, L., & Walker, B. (2021). Resilience: Now more than ever. Ambio, 50, 1774–1777. https://doi.org/10.1007/s13280-020-01487-6
Giannarou, L., & Zervas, E. (2014). Using Delphi technique to build consensus in practice. International Journal of Business Science & Applied Management (IJBSAM), 9(2), 65-82. http://hdl.handle.net/10419/190657
Glaser, B., & Strauss, A. (2017). The Discovery of Grounded Theory: Strategies for Qualitative Research. Routledge. https://doi.org/10.4324/9780203793206
Imperiale, A., & Vanclay, F. (2019). Command-and-control, emergency powers, and the failure to observe United Nations disaster management principles following the 2009 L'Aquila earthquake. International Journal of Disaster Risk Reduction, 36, 1-14. https://doi.org/10.1016/j.ijdrr.2019.101099
Jasco, P. (2005). As we may search – Comparison of major features of the Web of Science, Scopus, and Google Scholar citation-based and citation-enhanced databases. Current Science, 89(9), 1537–1547. http://www.jstor.org/stable/24110924
Jansen, K., & Vellema, S. (2011). What is Technography? NJAS: Wageningen Journal of Life Sciences, 57(3-4), 169–171. https://doi.org/10.1016/j.njas.2010.11.003
Miles, M., Huberman, M., & Saldana, J. (2014). Qualitative Data Analysis. A method sourcebook (3rd Edition). SAGE Publications.
NESDC. (2019). Gross Regional and Provincial Products. Retrieved from https://www.nesdc.go.th/ewt_dl_link.php?nid=5628&filename=gross_regional
Office of National Statistic. (2020). Statistical yearbook Thailand 2020. Office of National Statistic.
Olayide, O. E., Teteh, I. K., & Popoola, L. (2016). Differential impacts of rainfall and irrigation on agricultural production in Nigeria: Any lessons for climate-smart agriculture? Agricultural Water Management, 178, 30-36. https://doi.org/10.1016/j.agwat.2016.08.034
Panomsak, P., & Sakdapolrak, P. (2012). Where the rain falls project. Case study: Thailand. Results from Thung Hua Chang District, Northern Thailand. United Nations University.
Panpakdee, C. (2018). Social-ecological resilience of smallholder farmers for organic rice production in Chiang Mai Province [Doctoral dissertation]. Chiang Mai University.
Panpakdee, C., & Limnirankul, B. (2018). Indicators for assessing social-ecological resilience: A case study of organic rice production in northern Thailand. Kasetsart Journal of Social Sciences, 39(3), 414-421. https://doi.org/10.1016/j.kjss.2017.07.003
Panpakdee, C., & Palinthorn, F. (2021). Does the COVID-19 pandemic affect social-ecological resilience of organic rice production system in Chiang Mai Province, Thailand? Forest and Society, 5(2), 209-223. https://doi.org/10.24259/fs.v5i2.10642
Polthanee, A. (2018). Cassava as an insurance crop in a changing climate: The changing role and potential applications of cassava for smallholder farmers in Northeastern Thailand. Forest and Society, 2(2), 121-137. https://doi.org/10.24259/fs.v2i2.4275
Paunglad, B. (2019). Problems, Obstacles, and Approaches to Implement Organic Agriculture Policy: Case Study of Growing Organic Rice at Baan Dong Bang, Nong Bo, Ubonratchathani. NIDA Research Journal, 11(1), 1-32.
Poungchompu, S., & Chantanop, S. (2016). Economic aspects of rice combine harvesting service for farmer in Northeast Thailand. Asian Social Science, 12(8), 201-211. https://doi.org/10.5539/ass.v12n8p201
Quinlan, A., Blázquez, M. B., Haider, J., & Peterson, G. (2015). Measuring and assessing resilience: Broadening understanding through multiple disciplinary perspectives. Journal of Applied Ecology, 53(3), 677–687. https://doi.org/10.1111/1365-2664.12550
Ramos, D., Pedro, A., & Paulo, A. (2016). Application of the Delphi Method for the inclusion of externalities in occupational safety and health analysis. DYNA, 83(196), 14-20. https://doi.org/10.15446/dyna.v83n196.56603
Royal Irrigation Development. (2018). Mekong-Loei-Chee-Moon with increasing irrigated area to the real plateau benefits. Royal Irrigation Development. Retrieved from https://www.thailandplus.tv/archives/27548
Ruiz, C. (2014). How can finance influence productivity of agricultural firms? World Bank. Retrieved from https://blogs.worldbank.org/allaboutfinance/how-can-finance-influence-productivity-agricultural-firms
Samaraweera, U. (2020). Is resilience a unique extension rather than a rejection of neoliberalism? A critical reading of David Chandler’s writings on resilience. International Journal of Disaster Resilience in the Built Environment, 12(5), 528-539. https://doi.org/10.1108/IJDRBE-05-2020-0050
Sangkhaphan, S., & Shu, Y. (2019). Impact of rainfall on agricultural growth in Thailand: Evidence in farming and fishing activities. Journal of Economics and Sustainable Development, 10(16), 162-174. https://doi.org/10.7176/JESD/10-16-19
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333-339. https://doi.org/10.1016/j.jbusres.2019.07.039
Suebpongsang P., Ekasingh, B., & Cramb, R. (2020). Commercialisation of Rice Farming in Northeast Thailand. In: Cramb R. (Eds.), White Gold: The Commercialisation of Rice Farming in the Lower Mekong Basin (pp. 39-68). Palgrave Macmillan. https://doi.org/10.1007/978-981-15-0998-8_2
Tittonell, P. (2020). Assessing resilience and adaptability in agroecological transitions. Agricultural Systems, 184, 102862. https://doi.org/10.1016/j.agsy.2020.102862
Uday, P., & Marais, K. (2014). Resilience-based system importance measures for system-of-systems. Procedia Computer Science, 28, 257–264. https://doi.org/10.1016/j.procs.2014.03.033
Van Oudenhoven, F., Mijatovic, D., & Eyzaguirre, P. (2010). Social-ecological indicators of resilience in agrarian and natural landscapes. Management of Environmental Quality, 22(2), 154–173. https://doi.org/10.1108/14777831111113356
Wulandari, C. (2021). Identifying Climate Change Adaptation Efforts in the Batutegi Forest Management Unit, Indonesia. Forest and Society, 5(1), 48-59. https://doi.org/10.24259/fs.v5i1.73
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