Is rainfall gradient a factor of livelihood diversification? Empirical evidence from around climatic hotspots in Indo-Gangetic Plains

Bhatta, Gopal Datt; Aggarwal, Pramod K.; Shrivastava, Amit Kumar; Sproule, L.

doi:10.1007/s10668-015-9710-6

Cited by 21 publications

(19 citation statements)

References 31 publications

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“…Credit sources may be insufficient for the adoption of modern technologies for climate change mitigation and adaptation (Lybbert and Sumner, 2012). In most South Asian countries, the probability of migrating under adverse conditions is higher among households with poor socioeconomic profiles (Etzold et al, 2014;Bhatta et al, 2015a;Bhatta et al, 2015b). Migration-related decisions are based on vulnerability to economic, political, social and demographic factors (Stojanov, 2004;Stojanov et al, 2016aStojanov et al, , 2016bYi Sun et al, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Despite the plethora of literature on climate change, adaptation and migration, gaps remain in identifying the prevailing heterogeneous influences in the home region that drive migration and how migration further enhances the migrating member's ability to acquire knowledge on farm management and extension benefits. Studies of climate-induced migration patterns among different heterogeneous groups are very limited (Bhatta et al, 2015b). Therefore, it is pertinent to understand migration as the major source of household resilience under the scenario of climate change.…”

Section: Migration Due To Climate Changementioning

confidence: 99%

“…shocks. Due to uncertainty related to climate-sensitive occupations, households engage in livelihood diversification, a major coping strategy for various economic and environmental challenges (Bhatta et al, 2015b). Remittances are the most obvious factor enhancing the capacity of households to adapt to stress (Banerjee et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

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Migration as adaptation strategy to cope with climate change

Jha

Gupta

Chattopadhyay

et al. 2018

IJCCSM

112

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Purpose This study aims to evaluate the link between climate/weather change and farmer migration in Bihar, India. The influence of cognitive conditions and climate-related stress on farmer migration decisions and the socioeconomic characteristics of migrating and non-migrating farm households are analysed. The focus is the role of migration in access to climate and agricultural extension services and the contribution of migration to enhanced farmer coping capacity. Design/methodology/approach A primary survey was conducted of farm households in seven districts of Bihar, India. Farmer perceptions of climate change were analysed using the mental map technique. The role of socioeconomic characteristics in farm household migration was evaluated using binary logistic regression, and the influence of migration on access to climate and agricultural extension services and the adaptive capacity of migrating households was investigated using descriptive statistics. Findings Climate-induced livelihood risk factors are one of the major drivers of farmer’s migration. The farmers’ perception on climate change influences migration along with the socioeconomic characteristics. There is a significant difference between migrating and non-migrating farm households in the utilization of instructions, knowledge and technology based climate and agriculture extension services. Benefits from receipt of remittance, knowledge and social networks from the host region enhances migrating households’ adaptive capacity. Originality/value This study provides micro-evidence of the contribution of migration to farmer adaptive capacity and access to climate and agricultural extension services, which will benefit analyses of climate-induced migration in other developing countries with higher agricultural dependence. In addition, valuable insights are delivered on policy requirements to reduce farmer vulnerability to climate change.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Migration Due To Climate Changementioning

confidence: 99%

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Migration as adaptation strategy to cope with climate change

Jha

Gupta

Chattopadhyay

et al. 2018

IJCCSM

112

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“…Climate change has various different impacts on human activities. Drought will seriously influence agricultural activities [6]. Tidal fluctuations and changing dynamics from sea level rise and land subsidence are likely to influence people working in the fishery sector.…”

Section: Climate-related Disasters In the Northern Coastal Areamentioning

confidence: 99%

A Regional Perspective on Urbanization and Climate-Related Disasters in the Northern Coastal Region of Central Java, Indonesia

Rudiarto

Handayani

Setyono³

2018

Land

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Indonesia, as an archipelagic nation, has about 150 million people (60%) living in coastal areas. Such communities are increasingly vulnerable to the effects of change, in the form of sea level rise and stronger, more intense storms. Population growth in coastal areas will also increase the disaster risk mainly because of climate change-related effects such as flooding, droughts, and tidal floods. This study examines the dynamic changes of urban population and urban villages in three decadal periods, from 1990, 2000, to 2010. To highlight different disasters that are increasingly tied to climate change, the analysis was conducted in the northern coastal area of Central Java province using village potential (PODES) data, which are routinely collected by the government. Results show that about 41% of people in Central Java province live in the northern coastal region and 50% live in urban areas. The numbers of hazard events within a distance range of 0-40 km from the shoreline are: flooding (non-tidal)-335; tidal flooding-65; and droughts-28. Based on this study, about half of flood disasters (non-tidal) occurred within 10 km of the shoreline, while tidal flooding accounted for 80%. Most of the climate-related disasters were found in rural areas at low levels of population growth, while in urban areas the disasters were found to be associated in less than 1% and in more than 3% of population growth.

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“…It has also been argued that due to an increase in precipitation in the West African Sahel, the role of precipitation as a primary and sole driver of environmental change is now questionable because land use changes are increasingly becoming more important [89]. In India, Nepal and Bangladesh, it has been observed that in terms of changes in farming practices (proxy for adaptation) a majority of farmers responded to market-related drivers than climatic stressors [91]. Market-related variables such as yield and better market opportunities and resource-related variables such as declining fertility and labour have been stronger drivers of change compared to climatic drivers [92].…”

Section: Non-climatic Factors Are the Main Drivers Of Crop Yields In mentioning

confidence: 99%

The determinants of crop yields in Uganda: what is the role of climatic and non-climatic factors?

et al. 2018

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Background: It is widely accepted that crop yields will be affected by climate change. However, the role played by climate in affecting crop yields visa -vis non-climatic stresses, is often unclear, limiting decision choices around efforts to promote increased production in light of multiple stresses. Results: This study quantifies the role of climatic and non-climatic factors affecting multiple crop yields in Uganda, utilizing a systematic approach which involves the use of a two-stage multiple linear regression to identify and characterize the most important drivers of crop yield, examine the location of the key drivers, identify the socioeconomic implications of the drivers and identify policy options to enhance agricultural production. We find that non-climatic drivers of crop yields such as forest area dynamics (p = 0.012), wood fuel (p = 0.032) and usage of tractors (0.041) are more important determinants of crop yields than climatic drivers such as precipitation, temperature and CO 2 emissions from forest clearance. Climatic drivers are found to multiply existing risks facing production, the significance of which is determined by variability and inadequate distribution of precipitation over the crop growing seasons. Conclusion: The significance and validity of these results is observed in an f-statistic of 50 for the final optimized model when compared to the initial model with an f-statistic of 19.3. Research and agricultural policies have to be streamlined to include not only the climatic elements but also the non-climatic drivers of global, regional and national agricultural systems.

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Is rainfall gradient a factor of livelihood diversification? Empirical evidence from around climatic hotspots in Indo-Gangetic Plains

Cited by 21 publications

References 31 publications

Migration as adaptation strategy to cope with climate change

Migration as adaptation strategy to cope with climate change

A Regional Perspective on Urbanization and Climate-Related Disasters in the Northern Coastal Region of Central Java, Indonesia

The determinants of crop yields in Uganda: what is the role of climatic and non-climatic factors?

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