Attentiveness to Early Warning Drought Information: Implications for Policy Support and Climate Risk Reduction in Ghana

Abstract

Successful drought planning is dependent on the generation of timely and accurate early warning information. Yet there is little evidence to explain the extent to which crop farmers pay attention to and assimilate early warning drought information that aids in the policy formulation in support of drought risk reduction. A socioecological survey, using a structured questionnaire administered to 426 crop farming households, was carried out in the Talensi District of the Upper East Region, Ghana. The data analytic techniques used were frequency tables, relative importance index, and multinomial logistics embedded in SPSS v.20 software. The results show that crop farmers predominantly rely on agricultural extension officers for early warning drought information, with an estimated 78% of them paying little to very much attention to the information. The likelihood ratio Chi-square test showed that there is a significant improvement in fit as X ² (20) = 96.792, p < 0.000. Household status, average monthly income, and age were the significant predictors for crop farmers paying no attention at all to early warning drought information, while household status was the only significant factor among those paying a little attention. The drive to build a climate-resilient society with effective early warning centers across Ghana will receive 60% lower support from crop farmers paying no to a little attention as compared to farmers paying very much attention to early warning drought information. Broader stakeholder engagements should be carried out to harness inclusive support from crop farmers to build a climate-resilient society in Ghana.

Keywords

Attentiveness to early drought warning / Climate risk / Drought risk reduction / Ghana

References

[1] Abdul-Razak M, Kruse S. The adaptive capacity of smallholder farmers to climate change in the Northern Region of Ghana. Climate Risk Management, 2017, 17: 104-122

[2] Alhakami AS, Slovic P. A psychological study of the inverse relationship between perceived risk and perceived benefit. Risk Analysis, 1994, 14(6): 1085-1096

[3] Allen K. Pelling M. Vulnerability reduction and the community-based approach. Natural disasters and development in a globalizing world, 2003, London: Routledge 170-184.

[4] Aninagyei I, Appiah DO. Analysis of rainfall and temperature effects on maize and rice production in Akim Achiase, Ghana. Scholars Academic Journal of Biosciences (SAJB), 2014, 2(12B): 930-942.

[5] Antwi-Agyei P, Amanor K, Hogarh JN, Dougill AJ. Predictors of access to and willingness to pay for climate information services in north-eastern Ghana: A gendered perspective. Environmental Development, 2020, 37(12):

[6] Antwi-Agyei P, Stringer LC, Dougill AJ. Livelihood adaptations to climate variability: Insights from farming households in Ghana. Regional Environmental Change, 2014, 14(4): 1615-1626

[7] Appiah DO, Boafo J. Analysis of temperature anomalies as proxy to climate variability and change in a peri-urban district, Ghana. Advanced Journal of Environmental Management, 2014, 1(3): 20-33.

[8] Ault TR, Cole JE, Overpeck JT, Pederson GT, Meko DM. Assessing the risk of persistent drought using climate model simulations and paleoclimate data. Journal of Climate, 2014, 27(20): 7529-7549

[9] Bang, H.N. 2008. Social vulnerability and risk perception to natural hazards in Cameroon two decades after the Lake Nyos gas disaster: What future prospect for the displaced disaster victims? Paper presented at the 2008 Summer Academy for Social Vulnerability at the United Nations University — Institute for Environment and Human Security (UNU-EHS), Germany. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.471.6902. Accessed 10 Jan 2020.

[10] Baudoin, M.A., S. Henly-Shepard, N. Fernando, A. Sitati, and Z. Zommers. 2014. Early warning systems and livelihood resilience: Exploring opportunities for community participation. UNU-EHS Working Paper Series No.11. Bonn: United Nations University − Institute for Environment and Human Security (UNU-EHS).

[11] Binita KC, Shepherd JM, Gaither CJ. Climate change vulnerability assessment in Georgia. Applied Geography, 2015, 62: 62-74

[12] Boken VK. Improving a drought early warning model for an arid region using a soil-moisture index. Applied Geography, 2009, 29(3): 402-408

[13] Brooks, N. 2003. Vulnerability, risk and adaptation: A conceptual framework. Working Paper 38. Norwich, UK: Tyndall Centre for Climate Change Research, University of East Anglia.

[14] Bryman A. Social research methods, 2008 3 New York: Oxford University Press

[15] Burchfield EK, Gilligan J. Agricultural adaptation to drought in the Sri Lankan dry zone. Applied Geography, 2016, 77: 92-100

[16] Chanza N, Siyongwana PQ, Williams-Bruinders L, Gundu-Jakarasi V, Mudavanhu C, Sithole VB, Manyani A. Closing the gaps in disaster management and response: Drawing on local experiences with Cyclone Idai in Chimanimani, Zimbabwe. International Journal of Disaster Risk Science, 2020, 11(5): 655-666

[17] Cunha APMA, Marchezini V, Lindoso DP, Saito SM, Alvalá RCS. The challenges of consolidation of a drought-related disaster risk warning system to Brazil. Sustainability in Debate, 2019, 10(1):

[18] Drost EA. Validity and reliability in social science research. Education Research and Perspectives, 2011, 38(1):

[19] Ejelöv E, Hansla A, Bergquist M, Nilsson A. Regulating emotional responses to climate change – A construal level perspective. Frontiers in Psychology, 2018, 9

[20] Ember CR, Skoggard I, Felzer B, Pitek E, Jiang M. Climate variability, drought, and the belief that high gods are associated with weather in nonindustrial societies. Weather, Climate, and Society, 2021, 13(2): 259-272

[21] GSS (Ghana Statistical Service). 2014. 2010 population and housing census analytical report, Talensi District. http://www2.statsghana.gov.gh/docfiles/2010_District_Report/Upper%20East/TALENSI.pdf. Accessed 10 Jan 2019.

[22] Lawson ET. Negotiating stakeholder participation in the Ghana national climate change policy. International Journal of Climate Change Strategies and Management, 2016, 8(3): 399-417

[23] Ledgerwood A, Trope Y, Chaiken S. Flexibility now, consistency later: Psychological distance and construal shape evaluative responding. Journal of Personality and Social Psychology, 2010, 99(1): 32-51

[24] Luo Y, Zhao J. Motivated attention in climate change perception and action. Frontiers in Psychology, 2019, 10

[25] Marchezini V. “What is a sociologist doing here?” An unconventional people-centered approach to improve warning implementation in the Sendai Framework for Disaster Risk Reduction. International Journal of Disaster Risk Science, 2020, 11(2): 218-229

[26] MESTI (Ministry of Environment, Science, Technology and Innovation, Republic of Ghana). 2013. Ghana national climate change policy. https://www.greengrowthknowledge.org/national-documents/ghana-national-climate-change-policy. Accessed 24 Nov 2020.

[27] Mishra KA, Singh VP. A review of drought concepts. Journal of Hydrology, 2010, 391: 202-216

[28] Morris WN. Kahneman D, Diener E, Schwarz N. The mood system. Well-being: Foundations of hedonic psychology, 2003, New York: Russell Sage Foundation 169-189.

[29] Muguti T, Maposa RS. Indigenous weather forecasting: A phenomenological study engaging the Shona of Zimbabwe. The Journal of Pan African Studies, 2012, 4(9): 102-111.

[30] Owusu M, Nursey-Bray M, Rudd D. Gendered perception and vulnerability to climate change in urban slum communities in Accra, Ghana. Regional Environmental Change, 2019, 19(1): 13-25

[31] Radeva K, Nikolova N, Gera M. Assessment of hydro-meteorological drought in the Danube Plain, Bulgaria. Hrvatski Geografski Glasnik, 2018, 80(1): 7-25

[32] Ramkar P, Yadav SM. Spatiotemporal drought assessment of a semi-arid part of middle Tapi River Basin, India. International Journal of Disaster Risk Reduction, 2018, 28: 414-426

[33] Salite D. Explaining the uncertainty: Understanding small-scale farmers’ cultural beliefs and reasoning of drought causes in Gaza Province, Southern Mozambique. Agriculture and Human Values, 2019, 36(3): 427-441

[34] Saunders M, Lewis P, Thornhill A. Research methods for business students, 2007 4 Harlow, UK: Pearson Education

[35] Sörqvist P, Langeborg L. Why people harm the environment although they try to treat it well: An evolutionary-cognitive perspective on climate compensation. Frontiers in Psychology, 2019, 10: 348

[36] Sundblad EL, Biel A, Gärling T. Cognitive and affective risk judgements related to climate change. Journal of Environmental Psychology, 2007, 27(2): 97-106

[37] Switzer D, Vedlitz A. Investigating the determinants and effects of local drought awareness. Weather, Climate, and Society, 2017, 9(4): 641-657

[38] Tadesse G, Dejere M. Impact of climate change on smallholder dairy production and coping mechanism in Sub-Saharan Africa — Review. Agricultural Resource Technology, 2018, 16(4):

[39] Tadesse T, Haile M, Senay G, Wardlow BD, Knutson CL. The need for integration of drought monitoring tools for proactive food security management in sub-Saharan Africa. Natural Resources Forum, 2008, 32(4): 265-279

[40] Taylor SE. Asymmetrical effects of positive and negative events: The mobilization-minimization hypothesis. Psychological Bulletin, 1991, 110(1):

[41] Torres AB, Vargas PL, Paavola J. The systemic and governmental agendas in presidential attention to climate change in Mexico 1994–2018. Nature Communications, 2020, 11(1): 1-11.

[42] UNECA (United Nations Economic Commission for Africa). 2007. Africa review report on drought and desertification. In Proceedings of the Fifth Meeting of the Africa Committee on Sustainable Development (ACSD−5) Regional Implementation Meeting (RIM) for CSD−16, 22−25 October 2007, Addis Ababa, Ethiopia: 1−65. https://hdl.handle.net/10855/14921. Accessed 20 Aug 2019.

[43] UNISDR (United Nations International Strategy for Disaster Reduction). 2009. Drought risk reduction framework and practices: Contributing to the implementation of the Hyogo Framework for Action. Geneva, Switzerland: UNISDR. https://www.unisdr.org/files/3608_droughtriskreduction.pdf. Accessed 20 Aug 2019.

[44] Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 1988, 54(6):

[45] Weiss, H.M., and R. Cropanzano. 1996. Affective events theory: A theoretical discussion of the structure, causes and consequences of affective experiences at work. https://www.researchgate.net/profile/Russell-Cropanzano/publication/228079335_Affective_Events_Theory_A_Theoretical_Discussion_of_The_Structure_Cause_and_Consequences_of_Affective_Experiences_at_Work/links/59e13575458515393d534b8e/Affective-Events-Theory-A-Theoretical-Discussion-of-The-Structure-Cause-and-Consequences-of-Affective-Experiences-at-Work.pdf. Accessed 20 Dec 2021.

[46] Wilhite DA. Drought monitoring and early warning: Concepts, progress and future challenges, 2006, Washington, DC: World Meteorological Organization

[47] Wrigley-Asante C, Owusu K, Egyir IS, Owiyo TM. Gender dimensions of climate change adaptation practices: The experiences of smallholder crop farmers in the transition zone of Ghana. African Geographical Review, 2019, 38(2): 126-139

[48] Xie B, Hurlstone MJ, Walker I. Correct me if I'm wrong: Groups outperform individuals in the climate stabilization task. Frontiers in Psychology, 2018, 9