Coping with Extreme Climate Events Policy Implications Joyashree Roy Professor of Economics Coordinator-Global Change Programme-JU Jadavpur University, Kolkata May 12, 2006
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Coping with Extreme Climate Events Policy Implications Joyashree Roy Professor of Economics Coordinator-Global Change Programme-JU Jadavpur University, Kolkata May 12, 2006 Research Question Why and How to bind climate issues with wider developmental issues. Ex of Env factors Natural Resource Base Access to water And sanitation Dimensions of Poverty Livelihoods Health Extreme events Vulnerability To Environmental Change Access to environmental info Participation In Decision making Elements of Well being Opportunity Security Empowerment Bottom up Approach Building up from Observing the Behaviour of direct stakeholders Design of the study • identification of hotspots • understanding vulnerability • identifying coping mechanism: households and communities • adaptive actions of – vulnerable groups with private motive – government and non-government external agencies with social welfare motive – generate both private and public goods and services. • Careful analysis of these will provide us with a portfolio of actions. Stake holders’ perception and action • Through community response • Through Household response – Responses are based on the field survey following LIFE approach Policy Framework • Sustainable development goals – – – – Livelihood: employment Institution: decision making, social capital Food: poverty Empowerment: education, health.. Hot spot selection • hydrological model results on climate variability related water availability scenarios • district wise map representing population density, intensity of agricultural activity, degree of water stress/abundance, precipitation pattern – They all were then overlaid on each other to identify the villages i.e. the hotspot as intersection of all these characteristics. • the households in each village have been first stratified according to their landholding pattern Study area • The flood basin survey has been conducted in – villages of Nandabar, Karabar and Manitiri of the Nayagarh district of Orissa in the Mahanadi river basin. • the drought survey has been carried out in – sabarkantha and Ahmedabad of gujarat in the Sabarmati river basin. Eight villages - two each from the talukas Himmatnagar and Modasa in Sabarkantha and Dholka and Sanand in Ahmedabad have been selected for the survey. • A total of approximately 200 households have been surveyed which due to random selection procedure can be considered a fairly representative sample. Vulnerability assessment • Vulnerability of the study areas has been judged by three component indices representing three sources of vulnerability: threats to livelihood (VIL), food security (VIF) and access to market (VIM) based on household responses. Vulnerability status Category Percentage of households showing a more than 10% fall in monthly expenditure during extreme events Percentage of households showing a more than 10% fall in monthly food expenditure during extreme events Percentage rise in the price of staple food during extreme events Sabarmati Hotspot Mahanadi Hotspot 84 100 28 84 10 to 50 85 to 150 Coping capacity • • • • • Diversified occupational pattern Infrastructure facilities Asset position Social capital Indebtedness No. of h ou se h ol ds Mahanadi Hotspot: Occupational Distribution 60 40 20 0 Agriculture Business and self employment Mahanadi Hotspot: Types of Farmers 16% 2% M a rgina l S m a ll 51% 31% S e m i- m e dium M e dium Mahanadi Hotspot: Land Distribution 20% Farm land 80% Non farm land Mahanadi Hotspot: Educational Distribution 2% 8% Illiterate P rimary/Secondary Graduation and above 90% Mahanadi Hotspot: Lighting Fuel No. of households 20 15 10 5 0 Kerosene Electricity No. of households Mahanadi Hotspot: Cooking Fuel 50 40 30 20 10 0 Wo o d Kero s ene Electricity Co o king g as Pulses (moong) Nuts Vegetable Sugarcane 50 45 40 35 30 25 20 15 10 5 0 Paddy No. of Hhlds. Mahanadi Hotspot: Cropping Pattern Mahanadi Hotspot: Short-term Coping Strategies 11% 33% 18% Sto re dry fo o d and medicines Wo rk in o ther villages Cro p ins urance Migratio n 2% 18% 18% P ro tect lives to ck P ray Mahanadi Hotspot: Long-term Coping Strategies Build flood resist ant houses 9% 30% 5% 56% Build walls around houses Keep cont ingency funds Buy polyt hene Mahanadi Hotspot: Infrastructure : Source of Potable Water during Floods F lo o d wa te r 24% F ilte re d flo o d wa te r 58% 16% 2% Tra ditio na l s o uc e s No n a va ila ble Mahanadi Hotspot: social capital: Support from Relatives 90 80 % of hhlds 70 60 50 40 30 20 10 0 Food Clothes Seeds Housing Cash mtl aid Loans Free lab Mahanadi Hotspot: Social capital: Support from Villagers & Friends 90 80 % o f hhlds 70 60 50 40 30 20 10 0 Food Clothes Seeds Housing m tl Cash aid Loans Free lab Mahanadi Hotspot: Institution: Governmental Support 100 % of HHlds 80 60 40 20 0 Food Clothes Seeds Housing mtl Cash aid % of hhlds Mahanadi Hotspot: Institution: NGO Support 100 90 80 70 60 50 40 30 20 10 0 Food Clothes Seeds Housing Cash mtl aid Loans Free lab Drinking water Storage Crop compensation Agri input aid 45 40 35 30 25 20 15 10 5 0 Loan PDS Essentials Knowledge Transport Health % of hhlds Mahanadi Hotspot: Policy Suggestions by Stakeholders Sabarmati Hotspot: Occupational Distribution Agriculture 6% 1% 0% Animal Hus bandry 45% 35% Agricultural Labour Labour 13% Service Bus ines s Sabarmati Hotspot: Pattern of Land Holding Landless 5% 1% 31% Marginal Small 63% Semi- medium Sabarmati Hotspot: Lighting Fuel 43% 57% Electricity Others Sabarmati Hotspot: Cooking Fuel t Wood 100% 0 Buy fodder Save fodder Work in Govt Migrat ion Sell log Sell livest ock Lease out propert y Sell propert y Mort gage propert y Borrow money Dissave % of house hol ds Sabarmati Hotspot: Coping Strategies 80 70 60 50 40 30 20 10 0 Maize Castor Pulses Cotton Cumin Bajra Jowar Wheat Paddy % of hhlds Sabarmati Hotspot: Reported Damage to Crops 60 50 40 30 20 10 Sabarmati Hotspot: Village-wise Irrigation Availability T otal Vejalka Irrigated area Vanaliya Juda Faredi Unirrigated area Charanwada Nani-Demoi 0 1000 2000 3000 Area (in ha.) 4000 5000 Sabarmati Hotspot: Financial Aid Distribution % of households 100% 90% 80% 70% Aid nonreceivers 60% 50% 40% Aid receivers 30% 20% 10% 0% S tate Govt Others Sabarmati Hotspot: Policy Suggestions by Stakeholders Adaptive capacity • Complex combination of – technology – institutional governance • Policy matrix Policy Matrix Time Scale, Coverage & Actor Technical Institutional Policies Common to Flood & Drought Prone Areas Short –term Local Measures Early detection systems of extreme weather events Medium –term Community/state level Measures Long –term National Measures Diversification of livelihoods through skill formation Low interest credit systems Capacity building that transforms livelihood option set R&D to develop disaster resistant crop strains R&D to develop alternative cropping patterns Investments in studying “the diverse” impacts of floods /droughts including impacts on water quality Investments in rainfall & river monitoring & their modeling Communication of early warning systems Emergency relief Public distribution systems. & Food banks Purchase/mortgage scheme for livestock Better education Yearly joint scientific meetings Media- radio/T.V. programme disseminating information on adaptation measures Policy Matrix Policies Specific to Flood Prone Areas Short –term Local Measures Medium –term Community/state level Measures Long –term National Measures Safe places Flood proofing (structural & nonstructural) Water management through appropriate storage and distribution systems to accelerate access to safe water Food preservation Phasing out high-risk land use practices Assessing redistribution of risks from structural measures including dams, diversions and dykes Resources outbreak Building for current & future regimes Recognising both positive & negative aspects of “floods” Fostering institutional learning Investment in public health Policies to encourage efficient water use Enforcing land-use zoning & building restrictions in flood plains or removing perverse incentives for inappropriate risk-taking or redistributing involuntary risks likely to help for current & future variability Inter-governmental cooperation on information systems including those related to assessing changes in flood regime due to climate interacting with land-use – residential & agricultural. to address disease Policy Matrix Policies Specific to Drought Prone Areas Short –term Local Measures Medium –term Community/state level Measures Small storage ponds Low cost irrigation Data dissemination Long –term National Measures Improving scientific knowledge, data capability Investments in R&D in water saving practices and varieties Early purchase schemes for livestock at good prices Ensuring technological gains are not over-run by increases in intensity of activities (enforced caps on crops/year, land receiving water) Employing people during drought Information systems and monitoring to ensure “fair compliance” &allocation at times of scarcity. “Managers” can then do their jobs Water rights Regional water sharing agreements Water resource development strategies that “take-into-account” variability Structural changes Shift towards demand management rather than never-ending strategies of augmenting supply Thank you