Determination of Perception and Adaptive Capacity towards Climate Change among Paddy Farmers in State of Kelantan, Malaysia

  • Authors

    • Nik Anis Nik Abdullah
    • Zalina Zahidah Abdul Karim
    • Siti Aida Sheikh Hussin
    • Siti Shaliza Mohd Khairi
    2018-09-12
    https://doi.org/10.14419/ijet.v7i4.1.28238
  • adaptive capacity, perception, climate change, Analytic Hierarchy Process, Logistic Regression.

  • Abstract

    Rapid changes in the climatic factors affect paddy farming in Malaysia. As Kelantan is the most vulnerable state to climate variations, its paddy production is negatively affected. Proper mitigation and adaptation approach can reduce paddy farmers’ vulnerability to climate change. Hence, it is important to the paddy farmers to cope with climate change by having the right perception to ensure farmers take the right decisions on dealing with climate change. There are four objectives of this study which include estimating the trend of climate change in Kelantan using Mann-Kendall test, determining paddy farmers’ perceptions towards climate change, measuring paddy farmers’ adaptive capability using Analytic Hierarchy Process (AHP) and ascertaining associated factors of the adaptive capacity of paddy farmers using Binary Logistic Regression. Results showed that majority (85.9%) of paddy farmers in Kelantan perceived changes in climate but only 62.9% of paddy farmers were highly adaptive towards climate change. Finally, age, monthly income, and district were found to be significantly associated with paddy farmers’ adaptive capacity towards climate change. Although, most paddy farmers in Kelantan were highly adaptive towards climate change, government and related agencies still need to take some efforts and initiatives to enhance the farmers’ adaptation towards climate change. 

     

     

  • References

    1. [1] M.S, Kwan, F.T, Tanggang and L. Juneng, “Projected changes of future climate extremes in Malaysiaâ€, Paper presented at National Symposium on Climate Change, Putrajaya, Malaysia, (2011).

      [2] IPCC, “Impacts, Adaptation and Vulnerability: A Contribution of the Working Group II to the Third Assessment Report of the Intergovernmental Panel on Climate Change (IPCC)â€, (2001), available online: https://www.ipcc.ch/pdf/assessment-eport/ar4/wg2/ar4 _wg2_full_ report.pdf., last visit: 17.01.2018.

      [3] IPCC, “Impacts, Adaptation and Vulnerabilityâ€. (2007), available online: https://www.ipcc.ch/pdf /assessment-report/ar4/wg2/ar4_wg2_full_report.pdf., last visit: 17.01.2018.

      [4] N. Shamil, (2018, March 15), Climate change affects us, Star Online, retrieved from http:/www. www.thestar.com.my/opinion/letters/2018/03/15/climate-change-affects-us.

      [5] J. Suhaila, M.D. Sayang and W.Z.W, Zawiah , and A,A. Jemain, Spatial patterns and trends of daily rainfall regime in Peninsular Malaysia during the southwest and northeast monsoons: 1975–2004, Meteorology and Atmospheric Physics, vol. 110(1-2), pp. 1-18, 2010.

      [6] W.Z.W. Zawiah, A.A. Jemain AA, K. Ibrahim, J. Suhaila J, and M.D. Sayang, “A comparative study of extreme rainfall in Peninsular Malaysia: with reference to partial duration and annual extreme seriesâ€, Sains Malaysiana, vol. 38(5), pp. 751-760. 2009.

      [7] W.Z.W. Zawiah, S. Jamaludin, M.D. Sayang, and A,A, Jemain, “Recent changes in extreme rainfall events in Peninsular Malaysia: 1971–2005â€, Theoretical and Applied Climatology, vol. 99(3-4), pp. 303. 2010.

      [8] J. Suhaila, M.D. Sayang, W.Z.W. Zawiah, and A.A. Jemain, “Trends in Peninsular Malaysia rainfall data during the southwest monsoon and northeast monsoon seasons: 1975–2004â€, Sains Malaysiana, vol. 39(4), pp. 533-542. 2010.

      [9] A, Ismail, Z. Zahid, S.A.S Hussin, and S.S.M Khairi, “Modelling the efficiency of paddy production in Peninsular Malaysia using Principal Component Analysis and Data Envelopment Analysis (PCA-DEA)â€, International Journal of Supply Chain Management, vol. 7(4), pp. 158-171. 2018.

      [10] F.M. Wong, (2014), “ Development of Climate Change Vulnerability Index for Peninsular Malaysia†(Master Dissertation), retrieved from http:// http://studentsrepo.um.edu.my/4858/1/Development_of_a_Climate_Change_Vulnerability_Index_for_Peninsular_Malaysia.pdf.

      [11] R. Terano, M. Zainalabidin, S.M. Nasir, and A.L. Ismail, “Farmers Sustainability Index: the case of paddy farmers in State of Kelantan, Malaysiaâ€, Journal of ISSAAS (International Society for Southeast Asian Agricultural Sciences), vol. 21, pp. 55-67. 2015.

      [12] M. Zainalabidin, T. Rika, S. Juwaidah, and R. Golnaz, “Determinants of Paddy Farmers Unsustainability Farmâ€, Paper presented at International Conference on Food, Agriculture and Natural, (2016).

      [13] M. Adato, and R. Meinzen-Dick. (2002). Assessing the impact of agricultural research on poverty using the sustainable livelihoods framework: Citeseer.

      [14] R.H. Abagat, E. Roxas, J.P. Talubo, and E, Abucay. (2017), Adaptation and Adaptive Capacity to Flooding of Farming Households: Insights from Mabitac, Laguna, Philippines, Climate, Disaster and Development Journal, 56-64, doi:10.18783/cddj.v002.i02.a06.H.

      [15] G. Defiesta, and C.L. Rapera, “Measuring Adaptive Capacity of Farmers to Climate Change and Variability: Application of a Composite Index to an Agricultural Community in Philippinesâ€, Journal of Environmental Science and Management, vol. 17(2), pp. 48-62. 2014.

      [16] S. Yue, P. Pilon, and G. Cavadias, “Power of the Mann-Kendall and Spearman's Rho Tests for Detecting Monotonic Trends in Hydrological Seriesâ€, Journal of Hydrology, vol. 259(1-4), pp. 254-271. 2002.

      [17] P.K, Sen, “Estimates of the Regression Coefficient Based on Kendall's Tauâ€, Journal of the American Statistical Association, vol. 63(324), pp. 1379-1389. 1968.

      [18] T.L. Saaty, The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation, New York: McGraw-Hill, (1980).

      [19] M.E, Guler, “Incorporating Multi-criteria Considerations into Supplier Selection Problems using Analytical Hierarchy Process: A Case Study Journal of Yasar Universityâ€, vol. 3(12), pp. 1787-1810. 2008.

      [20] Q. Zhu, T. Liu, H. Lin, J. Xiao, Y, Luo, W. Zeng, W. Ma, (2014), The Spatial Distribution of Health Vulnerability to Heat Waves in Guangdong Province, China. Global Health Action, 7(1), doi:10.3402/gha.v7.25051.

      [21] F. Eyasmin, (2017), Perception of and Adaptive Capacities to Climate Change Adaptation Strategies and Their Effects on Rice Production: A Case of Pabna District, Bangladesh, Journal of Health and Environmental Research, 3(1), doi:10.11648/j.jher.20170301.12.

      [22] M. Amirabadizadeh, Y.F. Huang, and T.S Lee, “Recent trends in temperature and precipitation in the Langat River basin, Malaysiaâ€, Advances in Meteorology, 2015.

      [23] M. Wehbe, H. Eakin, R. Seiler, M. Vinocour, C. Avila, and C. Maruto, (2006), Local Perspectives on Adaptation to Climate Change: Lessons from Mexico and Argentina, AIACC Working Paper No. 39, USA.

      [24] M. Allahyari, S. Ghavami, M.Z. Daghighi MZ, A. Michailidis, S. Nastis S, (2016), Understanding Farmers’ Perceptions and Adaptations to Precipitation and Temperature Variability: Evidence from Northern Iran, Climate, 4(4). doi:10.3390/cli4040058.

      [25] B. Amdu, and A. Aeressa, (2013), African Technology Policy Studies Network, ATPS: Farmers' Perception and Adaptive Capacity to Climate Change and Variability in the Upper Catchment of Blue Nile, Ethiopia.

      [26] S. Chamhuri, A. Ferdoushi, Z. Siti Zalikha, M.I. Nor Diana, M.M. Shahin, and B, Ahmad B, “Poverty Mapping and Assessing the Relationship between Poverty and Socio-demographic Characteristics of Households: A Study in Kelantan, Malaysiaâ€, Journal of Environmental Science and Technology, vol. 9 (6): pp. 407-416. 2016.

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  • How to Cite

    Anis Nik Abdullah, N., Zahidah Abdul Karim, Z., Aida Sheikh Hussin, S., & Shaliza Mohd Khairi, S. (2018). Determination of Perception and Adaptive Capacity towards Climate Change among Paddy Farmers in State of Kelantan, Malaysia. International Journal of Engineering & Technology, 7(4.1), 118-123. https://doi.org/10.14419/ijet.v7i4.1.28238

    Received date: 2019-03-06

    Accepted date: 2019-03-06

    Published date: 2018-09-12