Abstract
Flooding is considered the most pervasive risk in climate hazards. Flooding causes millions of peoples displacement and raises poverty in flood affected low income communities particularly reside in most hazards prone develo** countries like Pakistan. Objective of this study is to examine the association in climate change vulnerability and multidimensional poverty in two districts flood prone rural communities of Punjab, Pakistan. In this research work collected data of 480 households was used where livelihood and climate change vulnerability indices were applied for empirical estimation of climate vulnerability levels. Poverty levels were estimated through the application of multidimensional poverty index based on the initiatives of human development, Oxford poverty and United Nation Development Program. Estimates indicated almost half population of research area collapse lower than the threshold of multidimensional poverty. Rajanpur district was estimated higher intensity of poverty and higher number of population involved multidimensional poverty rather than Muzaffargarh. Moreover, Rajanpur district considered much deprived in the dimensions of poverty like living standard, health and education. Regarding climate change vulnerability Muzaffargarh lagged at the back in livelihood strategies dimensions, food, socio-demographic profile and social networks while Rajanpur considered much vulnerable in the health, financial assets and natural assets dimensions. In the overall conclusions related to flood disasters Rajanpur district more vulnerable than Muzaffargarh and study estimated significant and positive association in climate change vulnerability indices and multidimensional poverty index. Inadequate formal schooling and nonappearance of climate change vulnerability assessment in the study area more possibility of raises higher severity of multidimensional poverty. Policy concerned relevant authorities need to apply the analysis of poverty assessment about vulnerability of climate change. Formal schooling must provided to inhabited population to raising capabilities of decision-making, productivity, job opportunities, information access and level of awareness. Moreover, flood risk mitigation policy measures need to applied through flood defense and hotspots identification where poverty and flood risks occurs.
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Provincial Disaster Management Authority.
References
Abbas Khan, K., Zaman, K., Shoukry, A. M., Sharkawy, A., Gani, S., Sasmoko, J., Khan, A., & Hishan, S. S. (2019). Natural disasters and economic losses: controlling external migration, energy and environmental resources, water demand, and financial development for global prosperity. Environmental Science and Pollution Research, 26, 14287–14299.
Adger, W. N. (2006). Vulnerability. Global Environmental Change, 16(3), 268–281.
Adu, D. T., Kuwornu, J. K., Anim-Somuah, H., & Sasaki, N. (2018). Application of livelihood vulnerability index in assessing smallholder maize farming households’ vulnerability to climate change in Brong-Ahafo region of Ghana. Kasetsart Journal of Social Sciences, 39(1), 22–32.
Aguilar, G. R., & Sumner, A. (2020). Who are the world’s poor? A new profile of global multidimensional poverty. World Development, 126, 104716.
Ahmad, D., & Afzal, M. (2020a). Climate change adaptation impact on cash crop productivity and income in Punjab province of Pakistan. Environmental Science and Pollution Research, 27, 30767–30777.
Ahmad, D., & Afzal, M. (2020b). Flood hazards and factors influencing household flood perception and mitigation strategies in Pakistan. Environmental Science and Pollution Research, 27(13), 15375–15387.
Ahmad, D., & Afzal, M. (2021a). Impact of climate change on pastoralists’ resilience and sustainable mitigation in Punjab, Pakistan. Environment, Development and Sustainability, 23, 11406–11426.
Ahmad, D., & Afzal, M. (2021). Impact of violent conflicts and environmental hazards on pastoral sustainable development in Punjab, Pakistan. Environment, Development and Sustainability, 24, 1–22.
Ahmad, D., Afzal, M., & Rauf, A. (2019). Analysis of wheat farmers’ risk perceptions and attitudes: Evidence from Punjab. Pakistan. Natural Hazards, 95(3), 845–861.
Ahmad, D., Afzal, M., & Rauf, A. (2021). Flood hazards adaptation strategies: A gender-based disaggregated analysis of farm-dependent Bait community in Punjab, Pakistan. Environment, Development and Sustainability, 23, 865–886.
Ahmad, D., Kanwal, M., & Afzal, M. (2022). Climate change effects on riverbank erosion Bait community flood-prone area of Punjab, Pakistan: an application of livelihood vulnerability index. Environment, Development and Sustainability, 25, 1–29.
Aksoy, Ö. K. (2022). Predicting the potential distribution area of the Platanus orientalis L. in Turkey today and in the future. Sustainability, 14(18), 11706.
Alam, G. M. (2017). Livelihood cycle and vulnerability of rural households to climate change and hazards in Bangladesh. Environmental Management, 59(5), 777–791.
Aldrich, D. P. (2019). Challenges to coordination: Understanding intergovernmental friction during disasters. International Journal of Disaster Risk Science, 10, 306–316.
Alkire, S., & Foster, J. (2011). Understandings and misunderstandings of multidimensional poverty measurement. The Journal of Economic Inequality, 9, 289–314.
Alkire, S., Nogales, R., Quinn, N. N., & Suppa, N. (2021). Global multidimensional poverty and COVID-19: A decade of progress at risk? Social Science & Medicine, 291, 114457.
Alkire, S., Roche, J. M., & Vaz, A. (2017). Changes over time in multidimensional poverty: Methodology and results for 34 countries. World Development, 94, 232–249.
Ambelu, A., Birhanu, Z., Kassahun, W., & Jimma, E. (2017). Resilience Dimensions of the Effects of Recurrent Droughts in Borana Zone, Southern Ethiopia. Horn of Africa Resilience Innovation Lab (HoA RILab), Jimma University, Ethiopia.
Angelakis, A. N., Antoniou, G., Voudouris, K., Kazakis, N., Dalezios, N., & Dercas, N. (2020). History of floods in Greece: Causes and measures for protection. Natural Hazards, 101, 833–852.
Ashok, K. R., & Sasikala, C. (2012). Farmers’ vulnerability to rainfall variability and technology adoption in rain-fed tank irrigated agriculture. Agricultural Economics Research Review, 25(2), 267–278.
Awan, A., & Bilgili, F. (2022). Energy poverty trends and determinants in Pakistan: Empirical evidence from eight waves of HIES 1998–2019. Renewable and Sustainable Energy Reviews, 158, 112157.
Awan, M. S., & Aslam, M. A. (2011). Multidimensional poverty in Pakistan: Case of Punjab province. Journal of Economics and Behavioral Studies, 3(2), 133–144.
Balgah, R. A., Bang, H. N., & Fondo, S. A. (2019). Drivers for co** with flood hazards: Beyond the analysis of single cases. Jàmbá: Journal of Disaster Risk Studies, 11(1), 1–9.
Birkmann, J., Jamshed, A., McMillan, J. M., Feldmeyer, D., Totin, E., Solecki, W., & Alegría, A. (2022). Understanding human vulnerability to climate change: A global perspective on index validation for adaptation planning. Science of The Total Environment, 803, 150065.
Bodoque, J. M., Díez-Herrero, A., Amérigo, M., García, J. A., & Olcina, J. (2019). Enhancing flash flood risk perception and awareness of mitigation actions through risk communication: A pre-post survey design. Journal of Hydrology, 568, 769–779.
BOS Punjab. (2021). Annual Statistics 2021, Bureau of Statistics Lahore Punjab, Government of Pakistan.
Bubeck, P., Kreibich, H., Penning-Rowsell, E. C., Botzen, W. J. W., de Moel, H., & Klijn, F. (2017). Explaining differences in flood management approaches in Europe and in the USA–a comparative analysis. Journal of Flood Risk Management, 10(4), 436–445.
Bukhari, S. I. A., & Rizvi, S. H. (2015). Impact of floods on women: With special reference to flooding experience of 2010 flood in Pakistan. Journal of Geography & Natural Disasters, 5(2), 1–5.
Butt, T. A., McCarl, B. A., Angerer, J., Dyke, P. T., & Stuth, J. W. (2005). The economic and food security implications of climate change in Mali. Climatic Change, 68, 355–378.
Carney, P. (1992). The concept of poverty. Public Health Nursing, 9(2), 74–80.
Cetin, M., Sevik, H., Koc, I., & Cetin, I. Z. (2023). The change in biocomfort zones in the area of Muğla province in near future due to the global climate change scenarios. Journal of Thermal Biology, 112, 103434.
Chakraborty, J., Collins, T. W., Montgomery, M. C., & Grineski, S. E. (2014). Social and spatial inequities in exposure to flood risk in Miami. Florida. Natural Hazards Review, 15(3), 04014006.
Chaudhry, I. S., Malik, S., & Ashraf, M. (2006). Rural poverty in Pakistan: some related concepts, issues and empirical analysis. Pakistan Economic and Social Review, 44, 259–276.
CRED. (2020). EM-DAT database. http://www.emdat.be/
Das, B., Pal, S. C., Malik, S., & Chakrabortty, R. (2019). Living with floods through geospatial approach: A case study of Arambag CD Block of Hugli District, West Bengal. India. SN Applied Sciences, 1(4), 1–10.
De, L. (2017). Poverty and its measurement. Instituto Nacional De Estadistica, (pp.1–34).
Decancq, K., & Lugo, M. A. (2012). Inequality of wellbeing: A multidimensional approach. Economica, 79(316), 721–746.
Diakakis, M., Priskos, G., & Skordoulis, M. (2018). Public perception of flood risk in flash flood prone areas of eastern Mediterranean: The case of Attica region in Greece. International Journal of Disaster Risk Reduction, 28, 404–413.
Donohue, C., & Biggs, E. (2015). Monitoring socio-environmental change for sustainable development: Develo** a multidimensional livelihoods index (MLI). Applied Geography, 62, 391–403.
Dotter, C., & Klasen, S. (2017). The multidimensional poverty index: Achievements, conceptual and empirical issues (No. 233). Discussion Papers.
Dougherty, S., Baneman, R., Trousdale, P., & Valent, N. (2022). How regional federal reserve banks can contend with economic risk from climate change.
Douglas, I., Alam, K., Maghenda, M., Mcdonnell, Y., McLean, L., & Campbell, J. (2008). Unjust waters: Climate change, flooding and the urban poor in Africa. Environment and Urbanization, 20(1), 187–205.
Eckstein, D., Künzel, V., & Schäfer, L. (2021). The global climate risk index 2021. Germanwatch: Bonn.
Eckstein, D., Künzel, V., Schäfer, L., & Winges, M. (2019). Global climate risk index 2020 (pp. 1–50). Germanwatch: Bonn.
Field, C. B. (2012). Managing the risks of extreme events and disasters to advance climate change adaptation: special report of the intergovernmental panel on climate change. Cambridge: Cambridge University Press.
Forni, M. S., Fox, B. D., Gunasekera, R., Khan, H., Mahul, O., Shah, S. A., & Asia, S. (2015). Fiscal disaster risk assessment options for consideration: Pakistan. Disclosure
Forni, L. G., Medellín-Azuara, J., Tansey, M., Young, C., Purkey, D., & Howitt, R. (2016). Integrating complex economic and hydrologic planning models: An application for drought under climate change analysis. Water Resources and Economics, 16, 15–27.
Füssel, H. M., & Klein, R. J. (2006). Climate change vulnerability assessments: An evolution of conceptual thinking. Climatic Change, 75(3), 301–329.
Gaillard, J. C., & Texier, P. (2010). Religions, natural hazards, and disasters: An introduction. Religion, 40(2), 81–84.
Gallopín, G. C. (2006). Linkages between vulnerability, resilience, and adaptive capacity. Global Environmental Change, 16(3), 293–303.
Gorst, C., Kwok, C. S., Aslam, S., Buchan, I., Kontopantelis, E., Myint, P. K., & Mamas, M. A. (2015). Long-term glycemic variability and risk of adverse outcomes: a systematic review and meta-analysis. Diabetes care, 38(12), 2354–2369.
Government of Pakistan. (2017). 6th Population and Housing Census 2017, Economic Survey of Pakistan Pakistan Bureau of Statistics Ministry of finance Pakistan. www.finance.gov.pk/
Grace, K., Davenport, F., Hanson, H., Funk, C., & Shukla, S. (2015). Linking climate change and health outcomes: Examining the relationship between temperature, precipitation and birth weight in Africa. Global Environmental Change, 35, 125–137.
Hahn, M. B., Riederer, A. M., & Foster, S. O. (2009). The Livelihood Vulnerability Index: A pragmatic approach to assessing risks from climate variability and change—a case study in Mozambique. Global Environmental Change, 19(1), 74–88.
Hallegatte, S., & Rozenberg, J. (2017). Climate change through a poverty lens. Nature Climate Change, 7(4), 250–256.
He, J., Fu, C., Li, X., Ren, F., & Dong, J. (2023). What do we know about multidimensional poverty in China: Its dynamics, causes, and implications for sustainability. ISPRS International Journal of Geo-Information, 12(2), 78.
Hirabayashi, Y., Mahendran, R., Koirala, S., Konoshima, L., Yamazaki, D., Watanabe, S., & Kanae, S. (2013). Global flood risk under climate change. Nature climate change, 3(9), 816–821.
Hoang, H. D., Momtaz, S., & Schreider, M. (2020). Assessing the vulnerability of small-scale fishery communities in the estuarine areas of Central Vietnam in the context of increasing climate risks. Ocean & Coastal Management, 196, 105302.
Huang, X., Huang, X., He, Y., & Yang, X. (2017). Assessment of livelihood vulnerability of land-lost farmers in urban fringes: A case study of **’an, China. Habitat International, 59, 1–9.
Hufschmidt, G. (2011). A comparative analysis of several vulnerability concepts. Natural Hazards, 58, 621–643.
Huong, N. T. L., Yao, S., & Fahad, S. (2019). Assessing household livelihood vulnerability to climate change: The case of Northwest Vietnam. Human and Ecological Risk Assessment: An International Journal, 25(5), 1157–1175.
IPCC. (2022). Climate Change 2022 Impacts, Adaptation and Vulnerability, Summary for policy makers, technical summary and frequently asked questions, Intergovernmental Panel on Climate Change.
Islam, M. R., & Hasan, M. (2016). Climate-induced human displacement: A case study of cyclone Aila in the south-west coastal region of Bangladesh. Natural Hazards, 81, 1051–1071.
Jamshed, A. (2015). Assessing vulnerability and capacity of flood affected communities in Punjab, Pakistan: Case study: District Jhang and Muzaffargarh (Master's thesis).
Jamshed, A., Birkmann, J., Feldmeyer, D., & Rana, I. A. (2020). A conceptual framework to understand the dynamics of rural–urban linkages for rural flood vulnerability. Sustainability, 12(7), 2894.
Jamshed, A., Birkmann, J., McMillan, J. M., Rana, I. A., Feldmeyer, D., & Sauter, H. (2021). How do rural-urban linkages change after an extreme flood event? Empirical evidence from rural communities in Pakistan. Science of the Total Environment, 750, 141462.
Jevrejeva, S., Jackson, L. P., Grinsted, A., Lincke, D., & Marzeion, B. (2018). Flood damage costs under the sea level rise with warming of 1.5 °C and 2 °C. Environmental Research Letters, 13(7), 074014.
Joseph, D. D. (2017). Social work models for climate adaptation: The case of small islands in the Caribbean. Regional Environmental Change, 17(4), 1117–1126.
Kam, P. M., Aznar-Siguan, G., Schewe, J., Milano, L., Ginnetti, J., Willner, S., & Bresch, D. N. (2021). Global warming and population change both heighten future risk of human displacement due to river floods. Environmental Research Letters, 16(4), 044026.
Karimi, V., Karami, E., & Keshavarz, M. (2018). Vulnerability and adaptation of livestock producers to climate variability and change. Rangeland Ecology & Management, 71(2), 175–184.
Kellens, W., Terpstra, T., & De Maeyer, P. (2013). Perception and communication of flood risks: A systematic review of empirical research. Risk Analysis: An International Journal, 33(1), 24–49.
Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., & Antucheviciene, J. (2017). Supplier evaluation and selection in fuzzy environments: A review of MADM approaches. Economic Research-Ekonomska Istraživanja, 30(1), 1073–1118.
Khan, I., Lei, H., Shah, A. A., Khan, I., & Muhammad, I. (2021). Climate change impact assessment, flood management, and mitigation strategies in Pakistan for sustainable future. Environmental Science and Pollution Research, 28, 29720–29731.
Kimaro, E. G., Mor, S. M., & Toribio, J. A. L. (2018). Climate change perception and impacts on cattle production in pastoral communities of northern Tanzania. Pastoralism, 8(1), 1–16.
Kirsch, T. D., Wadhwani, C., Sauer, L., Doocy, S., & Catlett, C. (2012). Impact of the 2010 Pakistan floods on rural and urban populations at six months. PLoS currents, 4, e4fdfb212d2432.
Kret, E., Czop, M., & Pietrucin, D. (2017). Requirements for numerical hydrogeological model implementation for predicting the environmental impact of the mine closure based on the example of the Zn. In 13th International Mine Water Association Congress–Mine Water & Circular Economy. Lappeenranta University of Technology, Lappeenranta (pp. 703–710).
Lafitte, F. (1970). Income deprivation.
Lechowska, E. (2018). What determines flood risk perception? A review of factors of flood risk perception and relations between its basic elements. Natural Hazards, 94(3), 1341–1366.
Little, P. D., & McPeak, J. G. (2014). Pastoralism and resilience south of the Sahara. Washington: Intl Food Policy Res Inst.
Mahmood, R., Jia, S., & Babel, M. S. (2016). Potential impacts of climate change on water resources in the Kunhar River Basin. Pakistan. Water, 8(1), 23.
Mahonge, C., Mwilawa, A., Ngendello, M., & Mtambuki, A. (2014). Policies issues for enhancing pastoralists’ resilience to climate variability versus reality in Longido district Tanzania. Livestock Research for Rural Development, 26(12), 47–61.
Mavhura, E., Manyena, B., & Collins, A. E. (2017). An approach for measuring social vulnerability in context: The case of flood hazards in Muzarabani district, Zimbabwe. Geoforum, 86, 103–117.
McCarthy, J. J. (2001). Climate change 2001: Impacts, adaptation, and vulnerability: contribution of working group ii to the third assessment report of the Intergovernmental panel on climate change. Cambridge: Cambridge University Press.
Mehta, A. K., & Shah, A. (2003). Chronic poverty in India: Incidence, causes and policies. World Development, 31(3), 491–511.
Mekuyie, M., Jordaan, A., & Melka, Y. (2018). Understanding resilience of pastoralists to climate change and variability in the Southern Afar Region, Ethiopia. Climate Risk Management, 20, 64–77.
Mengal, M. U. R., & Mahar, W. A. (2018). Disaster mitigation strategies for adobe houses: A case study of District Awaran, Balochistan, Pakistan. In 1st International Conference on Advances in Engineering & Technology (ICAET 2018). BUITEMS, Quetta, Pakistan.
Mohanty, S. K., Agrawal, N. K., Mahapatra, B., Choudhury, D., Tuladhar, S., & Holmgren, E. V. (2017). Multidimensional poverty and catastrophic health spending in the mountainous regions of Myanmar, Nepal and India. International Journal for Equity in Health, 16(1), 1–13.
Morrissey, S. A., & Reser, J. P. (2007). Natural disasters, climate change and mental health considerations for rural Australia. Australian Journal of Rural Health, 15(2), 120–125.
Munich, R. E. (2022). Natural Disaster Risks: Losses Are Trending Upwards| Munich Re.
Munyai, R. B., Nethengwe, N. S., & Musyoki, A. (2019). An assessment of flood vulnerability and adaptation: A case study of Hamutsha-Muungamunwe village, Makhado municipality. Jàmbá: Journal of Disaster Risk Studies, 11(2), 1–8.
Muricho, D. N., Otieno, D. J., Oluoch-Kosura, W., & Jirström, M. (2019). Building pastoralists’ resilience to shocks for sustainable disaster risk mitigation: Lessons from west Pokot County, Kenya. International Journal of Disaster Risk Reduction, 34, 429–435.
Mustafa, K., Nosheen, M., & Khan, A. U. (2021). Dynamic reflections of multidimensional health poverty in Pakistan. PLoS ONE, 16(11), e0258947.
Nawab, T., Raza, S., Shabbir, M. S., Yahya Khan, G., & Bashir, S. (2023). Multidimensional poverty index across districts in Punjab, Pakistan: Estimation and rationale to consolidate with SDGs. Environment, Development and Sustainability, 25(2), 1301–1325.
NDMA. (2012). Annual Report 2010, National Disaster Management Authority, Government of Pakistan.
NDMA. (2017). Annual Report 2017, National Disaster Management Authority, Government of Pakistan.
NDMA. (2022) National Disaster Management Authority report 2022, Government of Pakistan. https://reliefweb.int/sites/reliefweb.int/files/resources/NDMA%20Annual%20Report%202221.pdf
Nguyen, V. N., Ginige, K., & Greenwood, D. (2018). Challenges in integrating disaster risk reduction into the built environment–The Vietnam context. Procedia Engineering, 212, 316–323.
Niazi, M. I., & Khan, A. (2012). The impact of education on multidimensional poverty across the regions in Punjab. Journal of Elementary Education, 21(1), 77–89.
Nicholls, R. J., Lincke, D., Hinkel, J., Brown, S., Vafeidis, A. T., Meyssignac, B., & Fang, J. (2021). A global analysis of subsidence, relative sea-level change and coastal flood exposure. Nature Climate Change, 11(4), 338–342.
Oo, A. T., Van Huylenbroeck, G., & Speelman, S. (2018). Assessment of climate change vulnerability of farm households in Pyapon district, a delta region in Myanmar. International Journal of Disaster Risk Reduction, 28, 10–21.
Opiyo, F. E., Wasonga, O. V., & Nyangito, M. M. (2014). Measuring household vulnerability to climate-induced stresses in pastoral rangelands of Kenya: Implications for resilience programming. Pastoralism, 4(1), 1–15.
Paudel, S., Kumar, P., Dasgupta, R., Johnson, B. A., Avtar, R., Shaw, R., & Kanbara, S. (2021). Nexus between water security framework and public health: A comprehensive scientific review. Water, 13(10), 1365.
PBS. (2019). Economic Survey of Pakistan (2018–19), Pakistan Bureau of Statistics, Ministry of Finance, Finance division Islamabad, Government of Pakistan.
PBS. (2022). Economic Survey of Pakistan (2021–22), Pakistan Bureau of Statistics, Ministry of Finance, Finance division Islamabad, Government of Pakistan.
PDMA. (2014). Provincial Disaster Management Authority Punjab ,Punjab Disaster Response Plan 2014, Government of Punjab, Pakistan. https://www.pdma.gop.pk/node/506
PDMA Punjab. (2021). Annual Report 2021, Provincial Disaster Management Authority Lahore Punjab, Government of Pakistan.
PDMA Punjab. (2022). Annual Report 2022, Provincial Disaster Management Authority Lahore Punjab, Government of Pakistan.
Pielke, R. (2019). Tracking progress on the economic costs of disasters under the indicators of the sustainable development goals. Environmental Hazards, 18(1), 1–6.
PMD. (2021). Annual Weather Report 2021, Pakistan Metrological Department, Government of Pakistan.
Qasim, S., Qasim, M., Shrestha, R. P., & Khan, A. N. (2017). An assessment of flood vulnerability in Khyber Pukhtunkhwa province of Pakistan. AIMS Environmental Science, 4(2), 206–216.
Qasim, S., Qasim, M., Shrestha, R. P., Khan, A. N., Tun, K., & Ashraf, M. (2016). Community resilience to flood hazards in Khyber Pukhthunkhwa province of Pakistan. International Journal of Disaster Risk Reduction, 18, 100–106.
Qurat-ul-Ann, A. R., & Mirza, F. M. (2021). Determinants of multidimensional energy poverty in Pakistan: A household level analysis. Environment, Development and Sustainability, 23, 12366–12410.
Rana, I. A., Asim, M., Aslam, A. B., & Jamshed, A. (2021). Disaster management cycle and its application for flood risk reduction in urban areas of Pakistan. Urban Climate, 38, 100893.
Rana, I. A., Khaled, S., Jamshed, A., & Nawaz, A. (2022). Social protection in disaster risk reduction and climate change adaptation: A bibliometric and thematic review. Journal of Integrative Environmental Sciences, 19(1), 65–83.
Rana, I. A., & Routray, J. K. (2016). Actual vis-à-vis perceived risk of flood prone urban communities in Pakistan. International Journal of Disaster Risk Reduction, 19, 366–378.
Rasul, G., Neupane, N., Hussain, A., & Pasakhala, B. (2021). Beyond hydropower: Toward an integrated solution for water, energy and food security in south Asia. International Journal of Water Resources Development, 37(3), 466–490.
Saddique, R., Zeng, W., Zhao, P., & Awan, A. (2023). Understanding multidimensional poverty in pakistan: implications for regional and demographic-specific policies. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-023-28026-6
Sam, A. G., Abidoye, B. O., & Mashaba, S. (2021). Climate change and household welfare in sub-Saharan Africa: Empirical evidence from Swaziland. Food Security, 13, 439–455.
Sam, A. S., Kumar, R., Kächele, H., & Müller, K. (2017). Vulnerabilities to flood hazards among rural households in India. Natural Hazards, 88, 1133–1153.
Santos, M. E., & Alkire, S. (2011). Training material for producing national human development reports. MPI: Construction and analysis. Oxford: Oxford poverty and human development initiative security implications of climate change in Mali. Climate Change, 68(205), 355–378.
Schilling, J., Hertig, E., Tramblay, Y., & Scheffran, J. (2020). Climate change vulnerability, water resources and social implications in North Africa. Regional Environmental Change, 20(1), 1–12.
Shah, A. A., Ye, J., Abid, M., Khan, J., & Amir, S. M. (2018). Flood hazards: Household vulnerability and resilience in disaster-prone districts of Khyber Pakhtunkhwa province, Pakistan. Natural Hazards, 93, 147–165.
Shah, A. A., Ye, J., Abid, M., & Ullah, R. (2017). Determinants of flood risk mitigation strategies at household level: A case of Khyber Pakhtunkhwa (KP) province, Pakistan. Natural Hazards, 88, 415–430.
Sial, M. H., Noreen, A., & Awan, R. U. (2015). Measuring multidimensional poverty and inequality in Pakistan. The Pakistan Development Review, 54, 685–696.
Sinha, M., Sendhil, R., Chandel, B. S., Malhotra, R., Singh, A., Jha, S. K., & Sankhala, G. (2022). Are multidimensional poor more vulnerable to climate change? Evidence from rural Bihar, India. Social Indicators Research, 162, 1–27.
Solín, Ľ, Madajová, M., & Skubinčan, P. (2018). Mitigating flood consequences: Analysis of private flood insurance in Slovakia. Journal of Flood Risk Management, 11, S173–S185.
Sternberg, T., & Chatty, D. (2016). Marginality, climate and resources in pastoral rangelands: Oman and Mongolia. Rangelands, 38(3), 145–151.
Tan, N. Q., Dinh, N. C., Linh, N. H. K., Hung, P. X., Kien, N. D., Phuong, T. T., & Tinh, B. D. (2023). Climate change vulnerability and poverty nexus: Evidence from coastal communities in central Vietnam. Journal of Agriculture and Environment for International Development (JAEID), 117(1), 61–84.
Teo, E. J., Vial, M. N., Hailu, S., Kelava, S., Zalucki, M. P., Furlong, M. J., & Barker, S. C. (2021). Climatic requirements of the eastern paralysis tick, Ixodes holocyclus, with a consideration of its possible geographic range up to 2090. International Journal for Parasitology., 51(4), 241–249.
Teo, H. C., Raghavan, S. V., He, X., Zeng, Z., Cheng, Y., Luo, X., & Koh, L. P. (2022). Large-scale reforestation can increase water yield and reduce drought risk for water-insecure regions in the Asia–Pacific. Global Change Biology, 28(21), 6385–6403.
Tewari, H. R., & Bhowmick, P. K. (2014). Livelihood vulnerability index analysis: An approach to study vulnerability in the context of Bihar. Jàmbá: Journal of Disaster Risk Studies, 6, a127.
Thornton, P. K., Herrero, M. T., Freeman, H. A., Okeyo Mwai, A., Rege, J. E. O., Jones, P. G., & McDermott, J. J. (2007). Vulnerability, climate change and livestock-opportunities and challenges for the poor. Journal of Semi-Arid Tropical Agricultural Research., 4(1), 1–23.
Toufique, K. A., & Islam, A. (2014). Assessing risks from climate variability and change for disaster-prone zones in Bangladesh. International Journal of Disaster Risk Reduction, 10, 236–249.
Tsakiris, G. J. N. H. (2014). Flood risk assessment: Concepts, modeling, applications. Natural Hazards and Earth System Sciences, 14(5), 1361–1369.
Tucker, J., Daoud, M., Oates, N., Few, R., Conway, D., Mtisi, S., & Matheson, S. (2015). Social vulnerability in three high-poverty climate change hot spots: What does the climate change literature tell us? Regional Environmental Change, 15, 783–800.
Tullos, D., Byron, E., Galloway, G., Obeysekera, J., Prakash, O., & Sun, Y. H. (2016). Review of challenges of and practices for sustainable management of mountain flood hazards. Natural Hazards, 83, 1763–1797.
UNDP. (2022) Hel** countries Reach their Climate Goals, United Nation Development Program.
UNDP. (2023) Pakistan Floods 2022 :Post Disaster Need Assessment Report, United Nations Development Program. https://www.undp.org/pakistan/publications/pakistan-floods-2022-post-disaster-needs-assessment-pdna
UNICEF. (2023) Devastating Floods in Pakistan, 2022. Available from: https://www.unicef.org/emergencies/devastating-floods-pakistan-2022. (Accessed July 1, 2023).
United Nations Office for Disaster Risk Reduction. (2022). Global assessment report on disaster risk reduction 2022: Our world at risk: Transforming governance for a resilient future. UN.
Varol, T., Cetin, M., Ozel, H. B., Sevik, H., & Zeren Cetin, I. (2022). The effects of climate change scenarios on Carpinus betulus and Carpinus orientalis in Europe. Water, Air, & Soil Pollution, 233(2), 45.
Verlynde, N., Voltaire, L., & Chagnon, P. (2019). Exploring the link between flood risk perception and public support for funding on flood mitigation policies. Journal of Environmental Planning and Management, 62(13), 2330–2351.
Verma, D., & Kataktalware, M. A. (2016). The livelihood vulnerability analysis: A pragmatic approach to assessing risks from climate variability and change—a case study of livestock farming in Karnataka, India.
Wang, C., & Wang, F. (2017). China can lead on climate change. Science, 357(6353), 764–764.
Week, D. A., & Wizor, C. H. (2020). Effects of flood on food security, livelihood and socio-economic characteristics in the flood-prone areas of the core Niger delta, Nigeria. Asian Journal of Geographical Research, 3(1), 1–17.
Wei, B., Su, G., Qi, W., & Sun, L. (2016). The livelihood vulnerability of rural households in earthquake-stricken areas—A case study of Ning’er. Yunnan Province. Sustainability, 8(6), 566.
World Bank. (2021). GDP PPP current international $. https://data.worldbank.org/indicator/NY.GDP.MKTP.PP.CD
Yamane, T. (1967). Statistics: an introductory analysis. New York: Harper and row.
Yang, D., Luan, W., Yang, J., Xue, B., Zhang, X., Wang, H., & Pian, F. (2022). The contribution of data-driven poverty alleviation funds in achieving mid-21st-Century multidimensional poverty alleviation planning. Humanities and Social Sciences Communications, 9(1), 179.
Yohe, G., & Tol, R. S. (2002). Indicators for social and economic co** capacity—moving toward a working definition of adaptive capacity. Global Environmental Change, 12(1), 25–40.
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Ahmad, D., Khurshid, S. & Afzal, M. Climate change vulnerability and multidimensional poverty in flood prone rural areas of Punjab, Pakistan: an application of multidimensional poverty index and livelihood vulnerability index. Environ Dev Sustain 26, 13325–13352 (2024). https://doi.org/10.1007/s10668-023-04207-8
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DOI: https://doi.org/10.1007/s10668-023-04207-8