scholarly journals Population, Migration and Climate Change

2020 ◽  
Vol 8 (2) ◽  
pp. 84-96
Author(s):  
Ekawati Sri Wahyuni ◽  
Sri Hartini Rachmat ◽  
Dina Nurdinawati

The objective of this research is to explain how climate change affects and is affected by population growth and migration.  The global analysis will then be followed by a specific study in Indonesia on the relation between population migration and natural disaster events. The research method used a secondary data analysis based on literature review, the 2015 Inter-Census Population Survey (SUPAS) data and 2013 disaster data. To reduce greenhouse gas emissions and ensure the sustainability of the planet's earth, there are three things that should be done, namely to reduce the pace of population growth, to change the pattern of consumption of natural resources, and to increase Earth's carrying capacity by using technologies and innovations. Migration is mostly caused by economic needs, while migration due to disaster events is very small. Migration data records permanent migration type, while the disaster-affected population usually migrates on the temporary bases. The BPS-Statistics Indonesia and the National Disaster Management Authority should have some agreement on defining disasters, including climate change induced-disasters, and on how to collect and store data on the number of people impacted by each of them.  

Author(s):  
Surendra Singh ◽  
Alka Singh ◽  
C. B. Singh

The present study is attempted to identify the determinants of migration in India. The National Sample Survey data of 64th round (July 2007-June 2008) was used and decoded to elicit household-level information. A multi-criteria approach was adapted to the analysis of the data. The study’s findings revealed that about 70% of migrated people are illiterate, while 57% of migrated people were agricultural laborers. The multi-criteria analysis results for permanent migration revealed that farmers belong to the rural area, having a land size less than two hectares, belonging to the Hindu religion, are likely to migrate permanently. Also, illiteracy, marital status, low consumption expenditure in rural areas, rainfall, and minimum temperature motivate farmer’s decision to adopt migration as an ultimate coping strategy against climate change. As far as grass-root policy interventions are concern, it is suggested that in rural areas, where unemployment has the main driver for migration, a proactive social protection programme, i.e., MGNREGA can be part of a proactive approach to managing climate-induced migration. Climate change as a cause of migration is uncertain and contextual. This necessitates the inclusivity of local populations in decision-making wherein their perceptions and responses are democratically represented and not merely channeled into participatory processes.


2021 ◽  
Vol 06 (02) ◽  
pp. 167-188
Author(s):  
Matteo Modena

In the 19th century, Thomas Malthus introduced the concept of human overpopulation into the scientific demographic debate, establishing the myth of population growth causing famine and starvation. The concept has recently resurfaced in international discussions on climate change and world leaders’ speeches. Still, it will likely come into the spotlight in the coming years of the climate crisis, mass displacement, and migration. Our research examines literary and visual texts from the early to the most recent debates, declarations, and uses. Our focus is primarily on the current academic and eco-fascist uses of the concept.


Author(s):  
Marion Borderon ◽  
Kelsea B. Best ◽  
Karen Bailey ◽  
Doug L. Hopping ◽  
Mackenzie Dove ◽  
...  

AbstractRecent years have seen an increase in the use of secondary data in climate adaptation research. While these valuable datasets have proven to be powerful tools for studying the relationships between people and their environment, they also introduce unique oversights and forms of invisibility, which have the potential to become endemic in the climate adaptation literature. This is especially dangerous as it has the potential to introduce a double exposure where the individuals and groups most likely to be invisible to climate adaptation research using secondary datasets are also the most vulnerable to climate change. Building on significant literature on invisibility in survey data focused on hard-to-reach and under-sampled populations, we expand the idea of invisibility to all stages of the research process. We argue that invisibility goes beyond a need for more data. The production of invisibility is an active process in which vulnerable individuals and their experiences are made invisible during distinct phases of the research process and constitutes an injustice. We draw on examples from the specific subfield of environmental change and migration to show how projects using secondary data can produce novel forms of invisibility at each step of the project conception, design, and execution. In doing so, we hope to provide a framework for writing people, groups, and communities back into projects that use secondary data and help researchers and policymakers incorporate individuals into more equitable climate planning scenarios that “leave no one behind.”


2021 ◽  
pp. 1-52
Author(s):  
Michel Beine ◽  
Lionel Jeusette

Abstract Recent surveys of the literature on climate change and migration emphasize the important diversity of outcomes and approaches of the empirical studies. In this paper, we conduct a meta-analysis in order to investigate the role of the methodological choices of these empirical studies in finding some particular results concerning the role of climatic factors as drivers of human mobility. We code 51 papers representative of the literature in terms of methodological approaches. This results in the coding of more than 85 variables capturing the methodology of the main dimensions of the analysis at the regression level. These dimensions include authors' reputation, type of mobility, measures of mobility, type of data, context of the study, econometric methods, and last but not least measures of the climatic factors. We look at the influence of these characteristics on the probability of finding any effect of climate change, a displacement effect, an increase in immobility, and evidence in favor of a direct vs. an indirect effect. Our results highlight the role of some important methodological choices, such as the frequency of the data on mobility, the level of development, the measures of human mobility and of the climatic factors as well as the econometric methodology.


2020 ◽  
Author(s):  
James Morrissey

Abstract This paper is a response Ferris (2020), specifically to the call for coalescence around a single term by which to talk about people migrating in response to climate change. While sympathetic to the imperative behind Ferris’ (2020) call, my overall argument is to reject this proposal. Instead I argue for less of focus on what we call people migrating in response to climate change, and more of a focus on how we talk about them. To justify this, I argue that a single term is inherently reductive and likely to play upon anti-immigrant sentiment due to the need to portray ‘migration as a problem’. At best this will result in a policy focus with limited capacity to address the challenge of migration in a context of climate change. At worst it will drive a policy response that is overtly counter-productive. As an alternative, I propose embracing a multitude of discourses, informed by principals that I argue will drive a humane climate agenda, and allow for a flexible approach that can account for the variety of concerns at the nexus of climate change and human migration.


Author(s):  
Brian Stiber ◽  
Asfaw Beyene

Climate change, drought, population growth and increased energy and water costs are all forces driving exploration into alternative, sustainable resources. The abundance of untapped wave energy often presents an opportunity for research into exploiting this resource to meet the energy and water needs of populated coastal regions. This paper investigates the potential and impact of harnessing wave energy for the purpose of seawater desalination. First the SWAN wave modeling software was used to evaluate the size and character of the wave resource. These data are used to estimate the cost of water for wave-powered desalination taking a specific region as a case example. The results indicate that, although the cost of water from this technology is not economically competitive at this time, the large available resource confirms the viability of significantly supplementing current freshwater supplies. The results also confirm that research into the feasibility of wave power as a source of energy and water in the area is warranted, particularly as water and energy become more scarce and expensive coinciding with the maturity of commercial wave energy conversion.


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