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

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 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 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.

scholarly journals An integrative climate change vulnerability index for Arctic aviation and marine transportation

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Nathan S. Debortoli ◽  
Dylan G. Clark ◽  
James D. Ford ◽  
Jesse S. Sayles ◽  
Emilia P. Diaconescu
Keyword(s):  
Climate Change ◽  
Vulnerability Index ◽  
Marine Transportation ◽  
Climate Change Vulnerability

Development of a composite climate change vulnerability index for small craft harbours

2018 ◽  
Vol 18 (2) ◽  
pp. 173-190 ◽  
Author(s):  
A. Kontogianni ◽  
D. Damigos ◽  
T. Kyrtzoglou ◽  
C. Tourkolias ◽  
M. Skourtos
Keyword(s):  
Climate Change ◽  
Vulnerability Index ◽  
Climate Change Vulnerability ◽  
Small Craft

Use of the NatureServe Climate Change Vulnerability Index as an Assessment Tool for Reptiles and Amphibians: Lessons Learned

2015 ◽  
Vol 56 (4) ◽  
pp. 822-834 ◽  
Author(s):  
Tracey D. Tuberville ◽  
Kimberly M. Andrews ◽  
Jinelle H. Sperry ◽  
Andrew M. Grosse
Keyword(s):  
Climate Change ◽  
Assessment Tool ◽  
Vulnerability Index ◽  
Lessons Learned ◽  
Climate Change Vulnerability

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.

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