Climate change, social vulnerability and child nutrition in South Asia

McMahon, Kathryn; Gray, Clark

doi:10.1016/j.gloenvcha.2021.102414

Cited by 21 publications

(16 citation statements)

References 55 publications

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“…3389/fevo.2022.998945 negative correlation between national per capita GDP and temperature, and global GDP would decrease by 3.8% for every 1 • C increase in national temperature. Climate change also threatens global environmental governance, national food security, and children's nutritional health (McMahon and Gray, 2021;Baste and Watson, 2022). In response to the threat of climate change, 153 countries and the European Community signed the United Nations Framework Convention on Climate Change (UNFCCC) in 1992, hoping to control the rate of global warming by reducing greenhouse gas emissions.…”

Section: Discussionmentioning

confidence: 99%

Space-time perception and behavioral response of farmers to climate change: Evidence from Sichuan Province, China

Zhou

Guo

et al. 2022

Front. Ecol. Evol.

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It is of great significance for global environmental governance to guide farmers to effectively perceive climate change. Based on the survey data of 540 farmers in Sichuan Province, China, this study used binary Logit model and Multinomial Logistic Regression model to explore the effects of farmers’ space-time perception of climate change and their interaction effects on farmers’ adaptation behavior to climate change. The results showed that: (1) 88.51% of farmers took adaptation measures to climate change, and 61.11% of them took both passive and active adaptation measures. Among the 7 measures, the highest rate of “Increase irrigation” is 23%, and the lowest rate of “Migrant work” is only 5%. (2) The scale difference of farmers’ time perception of climate change has a significant positive impact on their adaptive behavior of climate change. In terms of time: climate change perception in the next 5 years > in the next 10 years > in the next 15 years. (3) The scale difference of farmers’ space perception of climate change has a significant positive impact on their adaptation behavior to climate change. In other words, spatially, farmers’ perception of climate change is global > national > local village (the perception of local province is not significant). (4) Farmers’ space-time perception of climate change significantly affects farmers’ adaptive behavior. Among them, “farmers’ perception of climate change in the next 5 years” and their own “village’s perception of climate change” play an important role. This study will help deepen the understanding of farmers’ perception of climate change and their adaptive behavior, and provide reference for national policy making.

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Section: Discussionmentioning

confidence: 99%

Space-time perception and behavioral response of farmers to climate change: Evidence from Sichuan Province, China

Zhou

Guo

et al. 2022

Front. Ecol. Evol.

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“…The spatial distribution of human populations in urban, sub-urban, and rural areas increases vulnerability to the health impacts of climate change (16,48,49,59,62,67,70,90,91,94,96,98,105,109,116,118,144,149,162,168,172,187,193,194). Urban and sub-urban areas have higher population densities (25,41,45,48,58,62,75,98,105,109,113,119,127,151,162,171,178,(196)(197)(198)(199)(200)(201) and larger population sizes (98,202,203...…”

Section: Urbanness and Remotenessmentioning

confidence: 99%

“…Living alone was the most common feature of household composition that studies have identified a source of vulnerability or susceptibility due to the lack of social connections or support that residing with others provide (28,42,46,49,57,73,85,93,95,100,112,118,165,182,194,198,206). Other household composition factors that were indicative of vulnerability include household type (25,42,43,75,108,111,117,118), marital status (26,43,96,126,184), family size (67,69,159,207), female headed households (158,173), family conflict (115,184), and percentage of homes with orphans (70).…”

Section: Household and Household Compositionmentioning

confidence: 99%

Social vulnerability indicators to the Health Impacts of Climate Change: A Scoping Review

Li¹,

Toll²,

Bentley³

2022

Preprint

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This paper is a scoping review of social vulnerability to the health effects of climate change. The review provides an overview of the state of literature on social vulnerability indicators published in English between 2012 and 2022. An initial corpus of 1307 studies were identified from four bibliographic databases (Scopus, Web of Science, PubMed and CAB direct) and after screening 205 relevant studies were identified that contained social vulnerability indicators that mediated between climate change impacts and health outcomes. A frequency analysis was conducted to show the overall scope of the research and a thematic analysis of the results was conducted to examine substantive trends within the literature. A total of 125 indicators of social vulnerability were identified yet a relatively small set of indicators received most of the attention. Indicators that operationalized social vulnerability beyond individual and demographic characteristics were found to be under-researched and needed to further support climate resilience and adaptation planning.

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“…They developed Nutritional Households Index to measure food security, and the study predicted that food security will decline by 49% by 2050. McMahon and Gray (2021) explained that South Asia is at risk for climate-induced undernutrition because of extreme weather shocks, the prevalence of undernutrition and the lack of proper sanitation facilities. The study found that extreme precipitation in the first 12 months of a children's life has an adverse and significant effect on height-for-age in the South Asian region.…”

Section: Climate Change and Food Securitymentioning

confidence: 99%

Climate Change and Food Security: Are Asian Economies Tracking Sustainable Development Goals?

Zahid¹,

Hanif

Javed³

2022

iRASD J. Eco.

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Sustainable Development Goals 2030 is a sustainable development track approved by the United Nations in 2015. All member countries are trying to attain these SDGs. Unfortunately, Asian countries are still far from this track. Achieving SDG 2 (zero hunger) under the shadow of climate change (SDG 13) requires an indispensable line of action for the developing world and, specifically, Asian countries. Food security is the first step to achieving SDG 2 with changing climate. This study investigates the probable footprints of climate change and other socioeconomic determinants on food security in 8 Asian food-insecure countries from 1990 to 2019. The study secrutinizes climate change and food security literature as they relate to an SDG-oriented policy agenda. The study results reveal that climate change and socioeconomic determinants substantially affect food security. The Panel Quantile Autoregressive Distributed Lag Model (PQARDL) outcomes illustrate that undernourishment prevalence (SDG 2.1.1) will likely be reduced due to increased agricultural productivity, food availability, and economic growth. However, this is compromised by the negative effects of greater variations in temperature and food supply. Increasing rainfall is likely to reduce the prevalence of undernourishment (SDG 2.1.1) in the long run. Contrarily, a temperature rise will exacerbate the prevalence of undernourishment (SDG 2.1.1). Based on the outcomes, comprehensive SDG-oriented policy recommendations have been put forward to realize the goals of SDG 2, SDG 8 and SDG 13 for Asian food-insecure countries.

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Climate change, social vulnerability and child nutrition in South Asia

Cited by 21 publications

References 55 publications

Space-time perception and behavioral response of farmers to climate change: Evidence from Sichuan Province, China

Space-time perception and behavioral response of farmers to climate change: Evidence from Sichuan Province, China

Social vulnerability indicators to the Health Impacts of Climate Change: A Scoping Review

Climate Change and Food Security: Are Asian Economies Tracking Sustainable Development Goals?

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