Regional Sustainability ›› 2023, Vol. 4 ›› Issue (2): 194-202.doi: 10.1016/j.regsus.2023.05.005cstr: 32279.14.j.regsus.2023.05.005
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Arifah a, Darmawan SALMANb, Amir YASSIb, Eymal Bahsar DEMMALLINOb,*()
Received:
2023-01-01
Accepted:
2023-05-20
Published:
2023-05-25
Online:
2023-06-16
Contact:
Eymal Bahsar DEMMALLINO
E-mail:demmallino2022@gmail.com
Arifah , Darmawan SALMAN, Amir YASSI, Eymal Bahsar DEMMALLINO. Knowledge flow analysis of knowledge co-production-based climate change adaptation for lowland rice farmers in Bulukumba Regency, Indonesia[J]. Regional Sustainability, 2023, 4(2): 194-202.
Table 1
Results of Social network analysis (SNA) of knowledge flow on climate change adaptation in Bulukumba Regency."
Actor | In-degree (%) | Out-degree (%) | Betweenness (%) | In-closeness (%) | Out-closeness (%) | ||||
---|---|---|---|---|---|---|---|---|---|
Male farmer in climate field school (CFS) (25) | 6.00 | 11.00 | 1.85 | 55.00 | 100.00 | ||||
Male farmer not in CFS (13) | 10.00 | 3.00 | 0.00 | 91.70 | 40.70 | ||||
Female farmer in CFS (15) | 6.00 | 11.00 | 1.85 | 55.00 | 100.00 | ||||
Female farmer not in CFS (10) | 10.00 | 3.00 | 0.00 | 91.70 | 40.70 | ||||
Head of farmer group in CFS (5) | 6.00 | 11.00 | 1.85 | 55.00 | 100.00 | ||||
Head of farmer group not in CFS (5) | 6.00 | 4.00 | 0.00 | 57.90 | 44.00 | ||||
Local government official (5) | 6.00 | 11.00 | 1.85 | 55.00 | 100.00 | ||||
Agricultural extension worker (6) | 6.00 | 11.00 | 1.85 | 55.00 | 100.00 | ||||
Trader (5) | 6.00 | 10.00 | 34.00 | 68.80 | 91.70 | ||||
Staff of the Meteorology, Climatology, and Geophysics Agency (MCGA) (5) | 5.00 | 7.00 | 0.29 | 42.30 | 73.30 | ||||
Family member of CFS actor (12) | 11.00 | 4.00 | 31.45 | 100.00 | 57.90 | ||||
Neighbor of CFS actor (14) | 11.00 | 3.00 | 0.00 | 100.00 | 40.70 |
[1] |
Adger W.N., Huq S., Brown K., et al., 2003. Adaptation to climate change in the developing world. Prog. Dev. Stud. 3(3), 179-195.
doi: 10.1191/1464993403ps060oa |
[2] |
Adiyoga W., Basuki R.S., 2019. Perception of vegetable farmers on the impact of climate change in South Sulawesi. Jurnal Hortikultura. 28(1), 133-146 (in Indonesian).
doi: 10.21082/jhort.v28n1.2018.p133-146 |
[3] |
Ali S., Ying L., Nazir A., et al., 2021. Rural farmers perception and coping strategies towards climate change and their determinants: Evidence from Khyber Pakhtunkhwa province, Pakistan. J. Clean Prod. 291, 125250, doi: 10.1016/j.jclepro.2020.125250.
doi: 10.1016/j.jclepro.2020.125250 |
[4] |
Arifah, Salman, D., Yassi, A., et al., 2022. Climate change impacts and the rice farmers’ responses at irrigated upstream and downstream in Indonesia. Heliyon. 8(12), e11923, doi: 10.1016/j.heliyon.2022.e11923.
doi: 10.1016/j.heliyon.2022.e11923 |
[5] | Armitage D., Berkes F., Dale A., et al., 2011. Co-management and the co-production of knowledge: Learning to adapt in Canada’s Arctic. Glob Environ. Change. 21(3), 995-1004. |
[6] | Biskupska N., Salamanca A., 2020. Co-designing climate services to integrate traditional ecological knowledge: a case study from Bali, Indonesia. In: Stockholm Environment Institute (SEI) Report. SEI. Stockholm, Sweden. |
[7] |
Borquez R., Aldunce P., Adler C., 2017. Resilience to climate change: from theory to practice through co-production of knowledge in Chile. Sustain. Sci. 12, 163-176.
doi: 10.1007/s11625-016-0400-6 pmid: 30174749 |
[8] | BPS Badan Pusat Statistik-Statistics of Bulukumba Regency, 2021. Bulukumba Regency in Figures 2021. [2022-05-12]. https://bulukumbakab.bps.go.id/publication/2021/02/26/a958b208b525cae0109caacb/kabupaten-bulukumba-dalam-angka-2021.html (in Indonesian). |
[9] |
Bremer S., Meisch S., 2017. Co-production in climate change research: reviewing different perspectives. Wiley Interdiscip. Rev.-Clim. Chang. 8(6), e482, doi: 10.1002/wcc.482.
doi: 10.1002/wcc.482 |
[10] |
Cadger K., Quaicoo A.K., Dawoe E., et al., 2016. Development interventions and agriculture adaptation: a social network analysis of farmer knowledge transfer in Ghana. Agriculture-Basel. 6(3), 32, doi: 10.3390/agriculture6030032.
doi: 10.3390/agriculture6030032 |
[11] |
Chandra A., Dargusch P., McNamara K.E., et al., 2017. A study of climate-smart farming practices and climate-resiliency field schools in Mindanao, the Philippines. World Dev. 98, 214-230.
doi: 10.1016/j.worlddev.2017.04.028 |
[12] |
Chang V., Hall K., Xu Q.W.A., et al., 2022. A social network analysis of two networks: Adolescent school network and Bitcoin trader network. Decision Analytics Journal. 3, 100065, doi: 10.1016/j.dajour.2022.100065.
doi: 10.1016/j.dajour.2022.100065 |
[13] |
Charatsari C., Lioutas E.D., Koutsouris A., 2020. Farmer field schools and the co-creation of knowledge and innovation: the mediating role of social capital. Agric. Human Values. 37, 1139-1154.
doi: 10.1007/s10460-020-10115-8 |
[14] |
Colloff M.J., Martín-López B., Lavorel S., et al., 2017. An integrative research framework for enabling transformative adaptation. Environ. Sci. Policy. 68, 87-96.
doi: 10.1016/j.envsci.2016.11.007 |
[15] |
Dasanayaka U., Matsuda Y., 2022. Role of social capital in local knowledge evolution and transfer in a network of rural communities coping with landslide disasters in Sri Lanka. Int. J. Disaster Risk Reduct. 67, 102630, doi: 10.1016/j.ijdrr.2021.102630.
doi: 10.1016/j.ijdrr.2021.102630 |
[16] |
Dendir Z., Simane B., 2021. Farmers’ perceptions about changes in climate variables: Perceived risks and household responses in different agro-ecological communities, Southern Ethiopia. Clim. Serv. 22, 100236, doi: 10.1016/j.cliser.2021.100236.
doi: 10.1016/j.cliser.2021.100236 |
[17] |
Eikebrokk T.R., Garmann-Johnsen N.F., Olsen D.F., 2021. Co-creation in networks of SMEs: a conceptual model of the co-creation process. Procedia Computer Science. 181, 360-366.
doi: 10.1016/j.procs.2021.01.179 |
[18] |
Fazey I., Moug P., Allen S., et al., 2018. Transformation in a changing climate: a research agenda. Clim. Dev. 10(3), 197-217.
doi: 10.1080/17565529.2017.1301864 |
[19] | Handayani W., Rudiarto I., Setyono J.S., et al., 2017. Vulnerability assessment: A comparison of three different city sizes in the coastal area of Central Java, Indonesia. Adv. Clim. Chang. Res. 8(4), 286-296. |
[20] |
Hasan M.K., Kumar L., 2019. Comparison between meteorological data and farmer perceptions of climate change and vulnerability in relation to adaptation. J. Environ. Manage. 237, 54-62.
doi: S0301-4797(19)30179-3 pmid: 30780055 |
[21] |
Heaton J., Day J., Britten N., 2016. Collaborative research and the co-production of knowledge for practice: an illustrative case study. Implement. Sci. 11, 20, doi: 10.1186/s13012-016-0383-9.
doi: 10.1186/s13012-016-0383-9 pmid: 26897169 |
[22] |
Hein Y., Vijitsrikamol K., Attavanich W., et al., 2019. Do farmers perceive the trends of local climate variability accurately? An analysis of farmers’ perceptions and meteorological data in Myanmar. Climate. 7(5), 64, doi: 10.3390/cli7050064.
doi: 10.3390/cli7050064 |
[23] |
Helbing D., Brockmann D., Chadefaux T., et al., 2015. Saving human lives: what complexity science and information systems can contribute. J. Stat. Phys. 158, 735-781.
pmid: 26074625 |
[24] |
Hill R., Walsh F.J., Davies J., et al., 2020. Knowledge co-production for Indigenous adaptation pathways: Transform post-colonial articulation complexes to empower local decision-making. Glob. Environ. Change. 65, 102161, doi: 10.1016/j.gloenvcha.2020.102161.
doi: 10.1016/j.gloenvcha.2020.102161 |
[25] | Hiwasaki L., Luna E., Syamsidik, et al., 2014. Process for integrating local and indigenous knowledge with science for hydro-meteorological disaster risk reduction and climate change adaptation in coastal and small island communities. Int. J. Disaster Risk Reduct. 10(Part A), 15-27. |
[26] |
Howarth C., Lane M., Morse-Jones S., et al., 2022. The ‘co’ in co-production of climate action: Challenging boundaries within and between science, policy and practice. Glob. Environ. Change. 72, 102445, doi: 10.1016/j.gloenvcha.2021.102445.
doi: 10.1016/j.gloenvcha.2021.102445 |
[27] |
Jusup M., Holme P., Kanazawa K., et al., 2022. Social physics. Physics Reports. 948, 1-148.
doi: 10.1016/j.physrep.2021.10.005 |
[28] | Kirchhoff L., Stanoevska-Slabeva K., Nicolai T., et al., 2008. Using social network analysis to enhance information retrieval systems. In:Proceedings of the 5th Conference on Applications of Social Network Analysis (ASNA). Zurich: ASNA, 1-21. |
[29] |
Kumar P., Pandey R., Fürst C., et al., 2021a. The role of information infrastructure for climate change adaptation in the socio-ecological system of the Central Himalaya: availability, utility, and gaps. Socio-Ecological Practice Research. 3, 397-410.
doi: 10.1007/s42532-021-00096-1 |
[30] |
Kumar U., Werners S.E., Paparrizos S., et al., 2021b. Co-producing climate information services with smallholder farmers in the Lower Bengal Delta: How forecast visualization and communication support farmers’ decision-making. Clim. Risk Manag. 33, 100346, doi: 10.1016/j.crm.2021.100346.
doi: 10.1016/j.crm.2021.100346 |
[31] |
Luo K., Zor S., 2023. How does social network in patent provide changes in the Chinese manufacturing firm market value? Heliyon. 9(3), e14358, doi: 10.1016/j.heliyon.2023.e14358.
doi: 10.1016/j.heliyon.2023.e14358 |
[32] | Malabayabas F.L., Baconguis R.T., 2020. Knowledge sharing of farmers’ adaptation strategies on climate stresses in Benguet, Philippines. J. Environ. Sci. Manage. Special issue 2, 28-41. |
[33] | Miles M.B., Huberman A.M., 1999. Qualitative Data Analysis an Expanded Sourcebook (2nd edition). Los Angeles: Sage Publications, Inc., 10-11. |
[34] |
Nabiafjadi S., Sharifzadeh M., Ahmadvand M., 2021. Social network analysis for identifying actors engaged in water governance: An endorheic basin case in the Middle East. J. Environ. Manage. 288, 112376, doi: 10.1016/j.jenvman.2021.112376.
doi: 10.1016/j.jenvman.2021.112376 |
[35] |
Nonaka I., 1994. A dynamic theory of organizational knowledge creation. Organ Sci. 5(1), 14-37.
doi: 10.1287/orsc.5.1.14 |
[36] | Nur A., 2020. Strategy for improving farmers’ attitudes through climate field schools (SLI) in Banyurip Village, Pekalongan City. Master Thesis. Semarang: Semarang State University (in Indonesian). |
[37] | Pandey R., Meena D., Aretano R., et al., 2015. Socio-ecological vulnerability of smallholders due to climate change in mountains: agroforestry as an adaptation measure. Change and Adaptation in Socio-Ecological Systems. 2, 26-41. |
[38] |
Pandey R., Kumar P., Archie K.M., et al., 2018. Climate change adaptation in the western-Himalayas: Household level perspectives on impacts and barriers. Ecol. Indic. 84, 27-37.
doi: 10.1016/j.ecolind.2017.08.021 |
[39] |
Petzold J., Ratter B.M.W., 2015. Climate change adaptation under a social capital approach-An analytical framework for small islands. Ocean Coastal Manage. 112, 36-43.
doi: 10.1016/j.ocecoaman.2015.05.003 |
[40] | Pohl C., Rist S., Zimmermann A., et al., 2010. Researchers’ roles in knowledge co-production: experience from sustainability research in Kenya, Switzerland, Bolivia and Nepal. Sci. Public Policy. 37(4), 267-281. |
[41] | Polanyi M., 1966. The tacit dimension. In: Knowledge in Organisations. New York: Routledge, 1-12. |
[42] |
Ricart S., Castelletti A., Gandolfi C., 2022. On farmers’ perceptions of climate change and its nexus with climate data and adaptive capacity. A comprehensive review. Environ. Res. Lett. 17(8), 083002, doi: 10.1088/1748-9326/ac810f.
doi: 10.1088/1748-9326/ac810f |
[43] |
Sabzevar M.S., Rezaei A., Khaleghi B., 2021. Incremental adaptation strategies for agricultural water management under water scarcity condition in Northeast Iran. Regional Sustainability. 2(3), 224-238.
doi: 10.1016/j.regsus.2021.11.003 |
[44] |
Schneider F., Tribaldos T., Adler C., et al., 2021. Co-production of knowledge and sustainability transformations: a strategic compass for global research networks. Curr. Opin. Environ. Sustain. 49, 127-142.
doi: 10.1016/j.cosust.2021.04.007 |
[45] |
Sen L.T.H., Bond J., Dung N.T., et al., 2021. Farmers’ barriers to the access and use of climate information in the mountainous regions of Thừa Thiên Huế province, Vietnam. Clim. Serv. 24, 100267, doi: 10.1016/j.cliser.2021.100267.
doi: 10.1016/j.cliser.2021.100267 |
[46] |
Simon W.J., Krupnik T.J., Aguilar-Gallegos N., et al., 2021. Putting social networks to practical use: Improving last-mile dissemination systems for climate and market information services in developing countries. Clim. Serv. 23, 100248, doi: 10.1016/j.cliser.2021.100248.
doi: 10.1016/j.cliser.2021.100248 |
[47] |
Singh R.K., Singh A., Zander K.K., et al., 2021. Measuring successful processes of knowledge co-production for managing climate change and associated environmental stressors: Adaptation policies and practices to support Indian farmers. J. Environ. Manage. 282, 111679, doi: 10.1016/j.jenvman.2020.111679.
doi: 10.1016/j.jenvman.2020.111679 |
[48] |
Siregar P.R., Crane T.A., 2011. Climate information and agricultural practice in adaptation to climate variability: the case of climate field schools in Indramayu, Indonesia. Cult. Agric. Food Environ. 33(2), 55-69.
doi: 10.1111/j.2153-9561.2011.01050.x |
[49] |
Stott C., Huq S., 2014. Knowledge flows in climate change adaptation: Exploring friction between scales. Clim. Dev. 6(4), 382-387.
doi: 10.1080/17565529.2014.951014 |
[50] |
Thomas E., Riley M., Spees J., 2020. Knowledge flows: Farmers’ social relations and knowledge sharing practices in ‘Catchment Sensitive Farming’. Land Use Pol. 90, 104254, doi: 10.1016/j.landusepol.2019.104254.
doi: 10.1016/j.landusepol.2019.104254 |
[51] |
Tran T.A., Rodela R., 2019. Integrating farmers’ adaptive knowledge into flood management and adaptation policies in the Vietnamese Mekong Delta: A social learning perspective. Glob. Environ. Change. 55, 84-96.
doi: 10.1016/j.gloenvcha.2019.02.004 |
[52] | Urquhart P., Lotz-Sisitka H., Kruger B., et al., 2014. Southern African Regional Universities Association (SARUA) Climate Change Counts Mapping Study: Knowledge Co-Production Framework. Stellenbosch: SARUA, 59-60. |
[53] | Vincent K., Daly M., Scannell C., et al., 2018. What can climate services learn from theory and practice of co-production? Clim. Serv. 12, 48-58. |
[54] | Wang Z., Jusup M., Guo H., et al., 2020. Communicating sentiment and outlook reverses inaction against collective risks. Proc. Natl. Acad. Sci. U. S. A. 117(30), 17650-17655. |
[55] | Whitmarsh L., Capstick S., 2018. Perceptions of climate change. In: Psychology and Climate Change:Human Perceptions, Impacts, and Responses. Amsterdam: Elsevier, 13-33. |
[56] | World Bank Group, Asian Development Bank, 2021. Climate Risk Country Profile: Indonesia (2021). [2022-07-14]. https://climateknowledgeportal.worldbank.org/sites/default/files/2021-05/15504-Indonesia%20Country%20Profile-WEB_0.pdf. |
[57] | Yoseph-Paulus R., 2014. Perspectives of Planners on Adaptation to Climate Change in Indonesia. Asian Cities Climate Resilience Working Paper Series 9: 2014. [2022-07-12]. https://iied.org/sites/default/files/pdfs/migrate/10704IIED.pdf. |
[58] |
Zarei Z., Karami E., Keshavarz M., 2020. Co-production of knowledge and adaptation to water scarcity in developing countries. J. Environ. Manage. 262, 110283, doi: 10.1016/j.jenvman.2020.110283.
doi: 10.1016/j.jenvman.2020.110283 |
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