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 AJCC  Vol.10 No.4 , December 2021
A Nationwide Approach on Measuring Households’ Resilience by Constructing Climate Resilient Livelihoods Index (CRLI) in Rural Bangladesh
Abstract: This study developed households’ Climate Resilient Livelihoods Index (CRLI) in Bangladesh. CRLI indicators were selected based on the Adequacy of Human livelihood conditions for Well-being and Development (AHEAD) framework and FAO resilience tools. The study was designed on cross-sectional data through a country-wide primary survey of 26,925 rural households. At first, we performed logistic regression to gauge the significance and intensity of different livelihood indicators on any specific livelihood indicator. Secondly, we scored each household with the set criteria of different livelihoods accessibility, if any households fulfill the set criteria was “scored 1” and if not “scored 0”. After scoring the households, eight different scores for each household were summed up to construct a composite score of “CRLI”. If any household scored 0 - 2 was considered as low resilient, if any household scored 3 - 5 was considered as moderate resilient and if any household scored 6 - 8 was considered as highly resilient. Additionally, we used ArcMap to visualize the percentage of households in districts with different resilience categories. Findings revealed that nationally 1.7% of households were low resilient, 60% of households were moderate resilient and only 11.48% of households were high resilient. More specifically, only 1.7% of households failed to secure any of the climate-resilient livelihood indicators, and only 0.06% of households secured all of them. Findings also revealed that food secured households had better adaptive capacity due to ensuring access to basic services, more financial capabilities, lower dependency ratio, and physical connectivity. In contrast, households with social safety net coverage had food insecurity, less financial ability, higher dependency ratio, lower education, and income sources. Among 64 counties, Cox’s Bazar, Bandarban, Chuadanga, Barguna, Bhola, Patuakhali, Narail, Kurigram, Sunamganj, Jamalpur, and Netrokona were the most vulnerable in terms of low CRLI. On the other hand, more than 25% of high resilient households were located in Dhaka, Gazipur, and Munshiganj counties. These findings would propel the government to devise appropriate steps in terms of more investment in area-specific local communities for enhancing regional resilience.
Cite this paper: Rabbi, S. , Rabbi, R. , Karmakar, S. and Kropp, J. (2021) A Nationwide Approach on Measuring Households’ Resilience by Constructing Climate Resilient Livelihoods Index (CRLI) in Rural Bangladesh. American Journal of Climate Change, 10, 619-638. doi: 10.4236/ajcc.2021.104031.
References

[1]   Abdul-Razak, M., & Kruse, S. (2017). The Adaptive Capacity of Smallholder Farmers to Climate Change in the Northern Region of Ghana. Climate Risk Management, 17, 104-122.
https://doi.org/10.1016/j.crm.2017.06.001

[2]   ADB (2016).
https://www.adb.org/countries/bangladesh/poverty#:%7E:text=In%20Bangladesh%2C%20the%20population%20living,2016%20to%209.2%25%20in%202019

[3]   Alam, G. M. M., Alam, K., & Mushtaq, S. (2017). Climate Change Perceptions and Local Adaptation Strategies of Hazard-Prone Rural Households in Bangladesh. Climate Risk Management, 17, 52-63.
https://doi.org/10.1016/j.crm.2017.06.006

[4]   Amin, M. N., Solayman, H. M., Snigdha, S. S., & Sultana, J. (2018). Climate Resilient Livelihood Activity in the South Central Coastal Region of Bangladesh. Journal of Science, Technology and Environment Informatics, 6, 421-430.

[5]   Awal, M. A., Rashid, M. H. A., Islam, T. A. F. M., & Imam, F. F. (2013). Adapting Social Safety Net Programs to Climate Change Shocks: Issues and Options for Bangladesh. National Food Policy Capacity Strengthening Programme (NFPCSP’s) Sponsored Research Report. Department of Crop Botany, Bangladesh Agricultural University, Mymensingh.

[6]   Badhan, S., Haque, S., Akteruzzaman, M., Zaman, N., Nahar, K., & Yeasmin, F. (2019). Role of Social Safety Net Programmes for Ensuring Food Security and Reducing Poverty in Char Area of Jamalpur District in Bangladesh. Progressive Agriculture, 30, 75-85.

[7]   Bangladesh BD: Coverage: Social Safety Net Programs: % of Population.
https://www.ceicdata.com/en/bangladesh/social-protection/bd-coverage-social-safety-net-programs--of-population

[8]   Bangladesh Bureau of Statistics (2009). Updating Poverty Maps of Bangladesh. 24 p.
http://www.bbs.gov.bd/WebTestApplication/userfiles/Image/UpdatingPovertyMapsofBangladesh.pdf

[9]   Broussard, N. H., & Tandon, S. (2016). Food Insecurity Measures: Experience-Based Versus Nutrition-Based Evidence from India, Bangladesh, and Ethiopia. United States Department of Agriculture.

[10]   Ciani, F., & Romano, D. (2014). Testing for Household Resilience to Food Insecurity: Evidence from Nicaragua. 2014 Third Congress, Italian Association of Agricultural and Applied Economics (AIEAA), June 25-27 2014, Alghero, Italy.
https://EconPapers.repec.org/RePEc:ags:aiea14:172958

[11]   Clay, N. (2018). Integrating Livelihoods Approaches with Research on Development and Climate Change Adaptation. Progress in Development Studies, 18, 1-17.
https://doi.org/10.1177/1464993417735923

[12]   Fahey, S., Verstraten, L., & Berry, A. J. (2016). Education for Sustainable Development: Enhancing Climate Change Adaptation Expertise in Developing Countries. Journal of Education for Sustainable Development, 10, 54-67.
https://doi.org/10.1177/0973408215625534
http://journals.sagepub.com/doi/10.1177/0973408215625534

[13]   FAO (2016). Resilience Analysis in Senegal: Matam. FAO.

[14]   FAO (2020). Bangladesh—Food Insecurity Experience Scale (FIES). 8 p.

[15]   GoB (2010). Sixth Five Year Plan FY2011-2015: Sectoral Strategies, Programmes and Policies. 485 p.

[16]   GoB, & USAID (2016). District Level Socio-Demographic and Health Care Utilization Indicators.

[17]   Grace, K., Davenport, F., & Funk, C. (2012). Child Malnutrition and Climate Change in Sub-Saharan Africa: An Analysis of Recent Trends in Kenya Motivation and Research Question.

[18]   Hallegatte, S., Bangalore, M., Bonzanigo, L., Fay, M., Kane, T., Narloch, U. et al. (2015). Poverty and Climate Change: Natural Disasters, Agricultural Impacts and Health Shocks. Geneva Reports on the World Economy, 2015, 369-389.
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84956507366&partnerID=40&md5=5c06a203a0fbee7854eba311e98c3014

[19]   Hertel, T. W., Burke, M. B., & Lobell, D. B. (2010). The Poverty Implications of Climate-Induced Crop Yield Changes by 2030. Global Environmental Change, 20, 577-585.
https://doi.org/10.1016/j.gloenvcha.2010.07.001

[20]   HNAP (2018). Bangladesh Health-National Adaptation Plan (HNAP).

[21]   Hossain, M., Roy, K., & Datta, D. (2014). Spatial and Temporal Variability of Rainfall over the South-West Coast of Bangladesh. Climate, 2, 28-46.
https://doi.org/10.3390/cli2020028
http://www.mdpi.com/2225-1154/2/2/28/htm

[22]   IPCC (2007). Climate Change 2007: An Assessment of the Intergovernmental Panel on Climate Change. Vol. 446, Change. Cambridge University Press.

[23]   IPCC (2007). Climate Change 2007: Impacts, Adaptation and Vulnerability: Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel. Cambridge University Press.
http://books.google.com/books?hl=en&lr=&id=TNo-SeGpn7wC&oi=fnd&pg=PA81&dq=Climate+Change+2007: +Impacts,+Adaptation+and+Vulnerability.+Contribution+of+Working+Group+II+to+the+Fourth+Assessment+Report+of+the+Intergovernmental+Panel+on+Climate+Change&ots=vP2

[24]   Islam, M. M., Barman, A., Kundu, G. K., Kabir, M. A., & Paul, B. (2019). Vulnerability of Inland and Coastal Aquaculture to Climate Change: Evidence from a Developing Country. Aquaculture and Fisheries 4, 183-289.
https://doi.org/10.1016/j.aaf.2019.02.007

[25]   Kabir, M. I., Rahman, M. B., Smith, W., Lusha, M. A. F., Azim, S., & Milton, A. H. (2016). Knowledge and Perception about Climate Change and Human Health: Findings from a Baseline Survey among Vulnerable Communities in Bangladesh. BMC Public Health, 16, Article No. 266.
https://doi.org/10.1186/s12889-016-2930-3

[26]   Lissner, T. K., Reusser, D. E., Schewe, J., Lakes, T., & Kropp, J. P. (2014). Climate Impacts on Human Livelihoods: Where Uncertainty Matters in Projections of Water Availability. Earth System Dynamics, 5, 355-373.
https://doi.org/10.5194/esd-5-355-2014

[27]   Mane, E., Alinovi, L., & Melvin, D. (2010). Measuring Resilience: A Concept Note on the Resilience Tool. FAO, 4 p.
https://www.fao.org/3/al920e/al920e00.pdf

[28]   Marchal, V., Dellink, R., Vuuren, D., Van Clapp, C., Chateau, J., Magné, B. et al. (2012). Climate Change Perception Survey. The Asia Foundation.

[29]   Marschke, M. J., & Berkes, F. (2006). Exploring Strategies that Build Livelihood Resilience: A Case from Cambodia. Ecology and Society, 11, 42.

[30]   Moniruzzaman, S. (2015). Crop Choice as Climate Change Adaptation: Evidence from Bangladesh. Ecological Economics, 118, 90-98.
http://www.sciencedirect.com/science/article/pii/S0921800915003031
https://doi.org/10.1016/j.ecolecon.2015.07.012


[31]   Murray, L., Nguyen, H., Lee, Y. F., Remmenga, M. D., & Smith, D. W. (2012). Variance Inflation Factors in Regression Models with Dummy Variables. Conference on Applied Statistics in Agriculture (pp. 1-18). New Prairie Press.
https://newprairiepress.org/cgi/viewcontent.cgi?referer=&httpsredir=1&article=1034&context=agstatconference

[32]   Olsson, L. et al. (2014). Livelihoods and Poverty. Climate Change 2014—Impacts, Adaptation and Vulnerability: Part A: Global and Sectoral Aspects (pp. 793-832). Cambridge University Press.

[33]   Pain, A., & Levine, S. (2012). A Conceptual Analysis of Livelihoods and Resilience: Addressing the “Insecurity of Agency”. HPG Work Paper, 18 p.

[34]   Roy, S. (2019). Livelihood Resilience of the Indigenous Munda Community in the Bangladesh Sundarbans Forest. Handbook of Climate Change Resilience.
https://www.researchgate.net/publication/327542176_Livelihood_Resilience_of_the_Indigenous_Munda_Community_in_the_Bangladesh_Sundarbans_Forest

[35]   Sallu, S. M., Twyman, C., & Stringer, L. C. (2010). Resilient or Vulnerable Livelihoods? Assessing Livelihood Dynamics and Trajectories in Rural Botswana. Ecology and Society, 15, Article No. 3.

[36]   Sedgwick, P. (2012). Pearson’s Correlation Coefficient. British Medical Journal, 345, e4483.
https://doi.org/10.1136/bmj.e4483

[37]   Smith, K. R., Woodward, A., Campbell-Lendrum, D., Chadee, D. D., Honda, Y., Liu, Q. et al. (2015). Human Health: Impacts, Adaptation, and Co-Benefits. In Climate Change 2014—Impacts, Adaptation and Vulnerability: Part A: Global and Sectoral Aspects (pp. 709-754). Cambridge University Press.

[38]   Solesbury, W. (2003). Sustainable Livelihoods: A Case Study of the Evolution of DFID Policy. Overseas Development Institute.

[39]   Thathsarani, U. S., & Gunaratne, L. H. P. (2017). Constructing and Index to Measure the Adaptive Capacity to Climate Change in Sri Lanka. Procedia Engineering, 212, 278-285.
https://doi.org/10.1016/j.proeng.2018.01.036

[40]   Tompkins, E. L., & Adger, W. N. (2004). Does Adaptive Management of Natural Resources Enhance Resilience to Climate Change? Ecology and Society, 9, 10-96.

[41]   Tripepi, G., Jager, K. J., Dekker, F. W., & Zoccali, C. (2008). Linear and Logistic Regression Analysis. Kidney International, 73, 806-810.

[42]   UNICEF (2016). Drinking Water Quality in Bangladesh. 57 p.

[43]   UNICEF (2019). A Gathering Storm Climate Change Clouds the Future of Children in Bangladesh.
https://www.unicef.org/rosa/media/3001/file/ReportClimateChange-Embargoed-UNICEF.pdf

[44]   Walter, K. M., Zimov, S. A., Chanton, J. P., Verbyla, D., & Chapin, F. S. (2006). Methane Bubbling from Siberian Thaw Lakes as a Positive Feedback to Climate Warming. Nature, 443, 71-75

[45]   Williams, C., Fenton, A., & Huq, S. (2015). Knowledge and Adaptive Capacity Adaptive Capacity and Its Indicators. Nature Climate Change, 5, 82-83.
https://doi.org/10.1038/nclimate2476

[46]   Yohe, G., & Tol, R. S. J. (2002). Indicators for Social and Economic Coping Capacity—Moving toward a Working Definition of Adaptive Capacity. Global Environmental Change, 12, 25-40.
https://doi.org/10.1016/S0959-3780(01)00026-7
https://www.adb.org/countries/bangladesh/poverty#:~:text=In%20Bangladesh%2C%20the%20population%20living,2016%20to%209.2%25%20in%202019

 
 
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