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Biophysical and Socioeconomic State and Links of Deltaic Areas Vulnerable to Climate Change: Volta (Ghana), Mahanadi (India) and Ganges-Brahmaputra-Meghna (India and Bangladesh)

doi: 10.3390/su10030893
handle: 10625/58535
We examine the similarities and differences of specific deltaic areas in parallel, under the project DEltas, vulnerability and Climate Change: Migration and Adaptation (DECCMA). The main reason for studying Deltas is their potential vulnerability to climate change and sea level rise, which generates important challenges for livelihoods. We provide insights into the current socioeconomic and biophysical states of the Volta Delta (Ghana), Mahanadi Delta (India) and Ganges-Brahmaputra-Meghna (India and Bangladesh). Hybrid methods of input-output (IO) construction are used to develop environmentally extended IO models for comparing the economic characteristics of these delta regions with the rest of the country. The main sources of data for regionalization were country level census data, statistics and economic surveys and data on consumption, trade, agricultural production and fishing harvests. The Leontief demand-driven model is used to analyze land use in the agricultural sector of the Delta and to track the links with final demand. In addition, the Hypothetical Extraction Method is used to evaluate the importance of the hypothetical disappearance of a sector (e.g., agriculture). The results show that, in the case of the Indian deltas, more than 60% of the cropland and pasture land is devoted to satisfying demands from regions outside the delta. While in the case of the Bangladeshi and Ghanaian deltas, close to 70% of the area harvested is linked to internal demand. The results also indicate that the services, trade and transportation sectors represent 50% of the GDP in the deltas. Still, agriculture, an activity directly exposed to climate change, plays a relevant role in the deltas’ economies—we have estimated that the complete disappearance of this activity would entail GDP losses ranging from 18 to 32%.
deltaic areas; Flegg Location Quotient; economic modelling; environmental and social input-output; Ghana; India; Bangladesh, FLOODING, India, TJ807-830, TD194-195, Ghana, Renewable energy sources, SOUTH ASIA, DELTAS, GE1-350, MATHEMATICAL MODELS, RISK ASSESSMENT, LAND USE, CLIMATE MODELLING, economic modelling, ECONOMIC INDICATORS, Bangladesh, Environmental effects of industries and plants, Flegg Location Quotient, environmental and social input-output, AGRICULTURAL PRODUCTIVITY, deltaic areas, Environmental sciences, CLIMATE CHANGE VULNERABILITY, SIMULATION, INDIA, CLIMATE DATA
deltaic areas; Flegg Location Quotient; economic modelling; environmental and social input-output; Ghana; India; Bangladesh, FLOODING, India, TJ807-830, TD194-195, Ghana, Renewable energy sources, SOUTH ASIA, DELTAS, GE1-350, MATHEMATICAL MODELS, RISK ASSESSMENT, LAND USE, CLIMATE MODELLING, economic modelling, ECONOMIC INDICATORS, Bangladesh, Environmental effects of industries and plants, Flegg Location Quotient, environmental and social input-output, AGRICULTURAL PRODUCTIVITY, deltaic areas, Environmental sciences, CLIMATE CHANGE VULNERABILITY, SIMULATION, INDIA, CLIMATE DATA
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