scholarly journals Inter –Linkages Between Climate Change Vulnerability and Inequality an Empirical Study Across Hill, Foothill, Drought and Coastal Regions of West Bengal, India

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Uttam Haldar ◽  
Aishwarya Basu
Keyword(s):  
Climate Change ◽  
Poverty Reduction ◽  
West Bengal ◽  
Vulnerability Index ◽  
Primary Data ◽  
Poor People ◽  
Coastal Regions ◽  
Climate Change Vulnerability ◽  
Climatic Regions ◽  
Poverty Measures

India is one of the vulnerable countries in the world in terms of climate events. The poor people and poor regions are badly affected by climate change. On the other hand, the reduction of vulnerability received a top priority in the Sustainable Development Goals of the United Nations. The present paper attempts to examine the inter-linkages between climate change vulnerability and inequality empirically across four agro-climatic regions of West Bengal like hill, foothill, drought and coastal regions. Vulnerability in the present paper is measured by adopting composite livelihood vulnerability index and income (consumption) inequality is measured by Gini coefficient. This is an empirical paper based on primary data collected from 627 households over 15 villages in different agro-climatic regions of West Bengal during 2018- 2019. The result of the paper showed that there is a positive correlation relation between income inequality (consumption) and vulnerability. The higher inequality is accompanied by higher vulnerability and vice versa. The study draws an important policy implication for reduction of vulnerability as well as reduction of inequality. The poverty reduction measures are not sufficient to reduce inequality i.e., if inequalities are on the rise the anti-poverty measures cannot reduce such inequality.

scholarly journals Juxtaposing Farmers’ Suicides and Climate Change Vulnerability: An Empirical Analysis of Indian States

2021 ◽  
Vol 9 (1) ◽  
pp. 66-79
Author(s):  
Sridevi Gummadi ◽  
Amalendu Jyotishi ◽  
G Jagadeesh
Keyword(s):  
Climate Change ◽  
Global Climate ◽  
Risk Index ◽  
Strong Association ◽  
Vulnerability Index ◽  
Indian States ◽  
Climate Change Vulnerability ◽  
Climate Risks ◽  
Using Data ◽  
Comprehensive Study

India’s overall ranking on the Global Climate Risk Index has been deteriorating in recent years, making it more vulnerable to climate risks. It has been indicated in the literature that climate change is also associated with agrarian distress. However, empirical analyses are scanty on this, especially in the Indian context. In this analytical exercise, we tried to explore the association between farmers’ suicides and climate change vulnerability across Indian states. Using data from various sources, we arrive at an Agrarian Vulnerability Index and juxtaposed that with farmers’ suicide data between 1996 to 2015 collected from the National Crime Records Bureau (NCRB). We noted a strong association between climate change vulnerability and farmers’ suicides. The essence of this analysis is to indicate and understand the broad trends and associations. This research, in the process, informs and presses for a systematic, more comprehensive study with an agenda at micro and meso levels to understand the nuances of this association. Submitted: 01 November 2020; Revised: 11 January 2021; Accepted: 29 April 2021

scholarly journals Using the climate change vulnerability index to inform adaptation planning: Lessons, innovations, and next steps

2014 ◽  
Vol 39 (1) ◽  
pp. 174-181 ◽  
Author(s):  
Bruce E. Young ◽  
Natalie S. Dubois ◽  
Erika L. Rowland
Keyword(s):  
Climate Change ◽  
Vulnerability Index ◽  
Adaptation Planning ◽  
Climate Change Vulnerability

Farmers’ vulnerability to climate change-induced water poverty in spatially different agro-ecological areas of northwest Ethiopia

2015 ◽  
Vol 7 (1) ◽  
pp. 142-158 ◽  
Author(s):  
Menberu Teshome
Keyword(s):  
Climate Change ◽  
Meteorological Data ◽  
Rural Households ◽  
Standardized Precipitation Index ◽  
Vulnerability Index ◽  
Northwest Ethiopia ◽  
Poor People ◽  
Weighting Method ◽  
Ecological Zones ◽  
Functional Relationships

This study assessed the vulnerability levels of farmers to water poverty in spatially different agro-ecological areas of northwest Ethiopia, where severe climate change risks exist. Data were collected from 525 randomly selected rural households in dega (highland), woyna-dega (midland) and kola (lowland) agro-ecological zones using questionnaires. This study also used secondary meteorological data. Rural households' exposure and vulnerability levels were analyzed using simple regression, standardized precipitation index, drought intensity and climate vulnerability index (CVI). The study also used the United Nations Development Program's (UNDP's) equation to measure vulnerability differential across agro-ecologies. The indicators were normalized as indices by considering functional relationships of indicators with vulnerability. Composite vulnerability indices were calculated using the equal weighting method. The result indicates that households in kola agro-ecology were found to be more exposed and vulnerable (0.62 score) to climate change-induced water poverty than those households in woyna-dega (0.49) and dega (0.30 score). The assessment of vulnerability at the appropriate spatial scale is a key step in designing context-specific adaptation responses that are effective in addressing the needs of the poor people who reside in different agro-ecological settings.

scholarly journals Assessing Local Vulnerability to Climate Change by Using Livelihood Vulnerability Index: A Case Study of Dipang Watershed in Central Himalaya Region of Nepal

2021 ◽  
Vol 4 (3) ◽  
pp. 147-163
Author(s):  
Kapil Dhungana ◽  
Harish Bahadur Chand ◽  
Dinesh Bhandari ◽  
Abhishek Kumar ◽  
Sanjay Singh ◽  
...  
Keyword(s):  
Climate Change ◽  
Vulnerability Index ◽  
Primary Data ◽  
Contributing Factors ◽  
Group Discussions ◽  
Intergovernmental Panel ◽  
High Exposure ◽  
Climate Risks ◽  
Average Temperature ◽  
Vulnerability To Climate Change

The current study uses the livelihood vulnerability index (LVI) and the Intergovernmental Panel on Climate Change livelihood vulnerability index (IPCC-LVI) approaches to assess household’s livelihood vulnerability in the Dipang watershed located in the Central Himalayan region of Nepal. Primary data was collected through various participatory rural appraisal (PRA) tools such as direct observation, key informant interviews (KIIs), focus group discussions (FGDs) and household surveys. Similarly, data on climatic variables were collected from the nearby meteorological station over 30 years (1987-2018). The mean annual average temperature increased by 0.036°C while the average rainfall decreased by 2.30 mm. Respondents perceived a similar trend of rising temperatures, decreasing rainfall intensity, dryness in the atmosphere, and dwindling water sources. The overall LVI score (0.416) indicated that the households are vulnerable to climate change. Food (0.642) and natural disasters and climate variability (0.566) were the most vulnerable among all contributing factors. Similarly, the overall LVI-IPCC score (0.104) indicated that the households were moderately vulnerable due to high exposure (0.566), sensitivity (0.448), and low adaptive capacity (0.334). The study findings suggest an urgent need to reduce high exposure to climate risks, improved livelihood strategies, and boost agricultural productivity and health in the watershed area.

scholarly journals Climate change vulnerability: Index and mapping

2011 ◽  
Vol 15 (3) ◽  
pp. 142 ◽  
Author(s):  
HarshalT Pandve ◽  
Kevin Fernandez ◽  
PS Chawla ◽  
SamirA Singru
Keyword(s):  
Climate Change ◽  
Vulnerability Index ◽  
Climate Change Vulnerability

scholarly journals Poverty Measurement and Choice of Poverty Reduction Strategy: The Importance of Poverty Measurement in Determining the Right Strategy

2012 ◽  
Vol 4 (10) ◽  
pp. 595-602 ◽  
Author(s):  
Rudy Badrudin
Keyword(s):  
Local Government ◽  
Poverty Reduction ◽  
Robustness Analysis ◽  
Poverty Measurement ◽  
Statistical Testing ◽  
Poor People ◽  
Poverty Measure ◽  
Reduction Strategy ◽  
Poverty Measures ◽  
Poverty Reduction Strategy

This study aimed at testing the poverty measurement and the choice of poverty reduction strategy by using the data in four regencies and one municipal in Special Province of Yogyakarta (Indonesia). The study observed the number of poor people in those regions for eight-year periods (2001-2008) after the Law of Local Government Autonomy was in force in 2000. By using averagely 140 observations for each regency and municipal and employing ANOVA 2-Ways Analysis, the empirical results surprisingly revealed that only one regency and municipal produced nearly correct measurement on poverty. As to inter-temporal comparisons of the poverty number for each region, the statistical testing validated the inconsistency of poverty measure used. It gave evidence that the choice of poverty lines and poverty measures was a product of local government’s arbitrary decision, and of course, based on the finding; it called for robustness analysis of the poverty measurement used by the local government. To this respect, the choice of poverty reduction strategy should be seen as the free-vested interest decision in determining the poverty measurement. It needs a customization strategy based on the measure taken.

scholarly journals A Climate Change Vulnerability Index and Case Study in a Brazilian Coastal City

2016 ◽  
Vol 8 (8) ◽  
pp. 811 ◽  
Author(s):  
Vitor Zanetti ◽  
Wilson de Sousa Junior ◽  
Débora De Freitas
Keyword(s):  
Climate Change ◽  
Vulnerability Index ◽  
Climate Change Vulnerability ◽  
Coastal City

scholarly journals A Hierarchical Multilevel Approach in Assessing Factors Explaining Country-Level Climate Change Vulnerability

2020 ◽  
Vol 12 (11) ◽  
pp. 4438
Author(s):  
George Halkos ◽  
Antonis Skouloudis ◽  
Chrisovalantis Malesios ◽  
Nikoleta Jones
Keyword(s):  
Climate Change ◽  
Developed Countries ◽  
Vulnerability Index ◽  
Explanatory Variables ◽  
Institutional Conditions ◽  
Climate Change Vulnerability ◽  
Country Level ◽  
Annual Time Series ◽  
Nuanced Understanding ◽  
Annual Time

Assessing vulnerability is key in the planning of climate change adaptation policies and, more importantly, in determining actions increasing resilience across different locations. This study presents the results of a hierarchical linear multilevel modeling approach that utilizes as dependent variable the Notre Dame Global Adaptation Initiative (ND-GAIN) Climate Change Vulnerability Index and explores the relative impact of a number of macro-level characteristics on vulnerability, including GDP, public debt, population, agricultural coverage and sociopolitical and institutional conditions. A 1995–2016 annual time series that yields a panel dataset of 192 countries is employed. Findings suggest that country-level climate change vulnerability is responding (strongly) to the majority of the explanatory variables considered. Findings also confirm that less-developed countries demonstrate increased vulnerability compared to the developed ones and those in transition stages. While these results indeed warrant further attention, they provide a background for a more nuanced understanding of aspects defining country-level patterns of climate vulnerability.

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