Climate change vulnerability in a tropical region based on environmental and socio-economic factors

2018 ◽  
Vol 190 (12) ◽  
Author(s):  
S. Sarun ◽  
A. Ghermandi ◽  
A. M. Sheela ◽  
J. Justus ◽  
P. Vineetha
Keyword(s):  
Climate Change ◽  
Tropical Region ◽  
Economic Factors ◽  
Climate Change Vulnerability ◽  
Socio Economic Factors

scholarly journals HOUSEHOLD SOCIO-ECONOMIC FACTORS INFLUENCING CHOICE OF AGRO-ADVISORY DISSEMINATION PATHWAYS IN SEMI-ARID AREAS OF KENYA

2020 ◽  
Author(s):  
Debrah Onyango ◽  
Hezron Mogaka ◽  
Samuel Njiri Ndirangu ◽  
Kwena Kizito
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Climate Change Adaptation ◽  
Arid Regions ◽  
Smallholder Farmers ◽  
Economic Factors ◽  
Arid Areas ◽  
Factors Influencing ◽  
Semi Arid ◽  
Socio Economic Factors

This work covers the dissemination of climate change adaptation information in arid and semi-arid regions of Kenya with the aim of improving the adaptive capacity of smallholder farmers through dissemination of well package technologies referred to as agro-advisories.

scholarly journals HOUSEHOLD SOCIO-ECONOMIC FACTORS INFLUENCING CHOICE OF AGRO-ADVISORY DISSEMINATION PATHWAYS IN SEMI-ARID AREAS OF KENYA

2020 ◽  
Author(s):  
Debrah Onyango ◽  
Hezron Mogaka ◽  
Samuel Njiri Ndirangu ◽  
Kwena Kizito
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Climate Change Adaptation ◽  
Arid Regions ◽  
Smallholder Farmers ◽  
Economic Factors ◽  
Arid Areas ◽  
Factors Influencing ◽  
Semi Arid ◽  
Socio Economic Factors

This work covers the dissemination of climate change adaptation information in arid and semi-arid regions of Kenya with the aim of improving the adaptive capacity of smallholder farmers through dissemination of well package technologies referred to as agro-advisories.

scholarly journals Vulnerability to Climate Change and Socio-Economic Factors: A Comparison of Selected Districts of Punjab

2021 ◽  
Vol 5 (1) ◽  
pp. 79-110
Author(s):  
Ali Raza ◽  
Muhammad Hassan Shahid ◽  
Aimen Tayyab ◽  
Usman Mustafa
Keyword(s):  
Climate Change ◽  
Urban Areas ◽  
Jel Classification ◽  
Living Standard ◽  
Economic Factors ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Vulnerability To Climate Change ◽  
Vulnerability Score ◽  
Socio Economic Factors

This study analyzes ten districts of the province Punjab of Pakistan to investigate and compare the vulnerability of selected districts. Total Three sub-groups (socio-economic variables, adaptive capacity, bio-physical variables) are generated by using the data from Pakistan Social & Living Standard Measurement Survey (PSLM) and Pakistan Meteorological Department of the years 2014-15, to calculate total vulnerability. Using primary variables at the district level, this study determines each district’s rural and urban areas' total vulnerability score. The results show that few districts, e.g., Rawalpindi has 0.74 total vulnerability score out of 1, are highly vulnerable compared to other districts despite having a better socio-economic situation. On the other hand, few districts, like Multan, have a low vulnerability to climate change and socio-economic factors. Keywords: CO2, socio-economic, bio-physical, environment, Vulnerability. JEL Classification Codes: Q3, O13, P28.

What Causes Economic Losses from Natural Disasters in India?

2016 ◽  
pp. 157-175 ◽  
Author(s):  
Chandra Sekhar Bahinipati ◽  
Unmesh Patnaik ◽  
P. K. Viswanathan
Keyword(s):  
Climate Change ◽  
Natural Disasters ◽  
Economic Losses ◽  
Economic Factors ◽  
Damage Costs ◽  
Major Disaster ◽  
Natural Climate ◽  
Over Time ◽  
Cyclonic Storms ◽  
Socio Economic Factors

The reported economic losses due to natural disasters show an increasing trend over time for India. This is due to the influence of three factors: bio-physical drivers, exposure and vulnerability. Normalising the influence of exposure and vulnerability of socio-economic factors, this chapter potentially detects the influence of climate, caused by natural climate variability as well as anthropogenic climate change, in determining the damages from natural disasters. It analyses the trends in both the reported and normalised economic losses from natural disasters in India during 1964 and 2012. Similar analysis is also carried out for a subset of major disaster events like cyclonic storms and floods. No significant trend is found either for the normalised damage costs from natural disasters or for individual extreme events like floods and cyclonic storms. The findings suggest that the increases in damage costs is due to higher exposure and vulnerability of the socio-economic conditions of those affected, and recommends for additional investments on infrastructure to strengthen the adaptive capacity of the vulnerable sections with respect to the socio-economic factors.

Climate Change and Infectious Diseases; Evidence from Highly Vulnerable Countries

2020 ◽  
Author(s):  
Asim ANWAR ◽  
Sajid ANWAR ◽  
Muhammad AYUB ◽  
Faisal NAWAZ ◽  
Shabir HYDER ◽  
...  
Keyword(s):  
Climate Change ◽  
Infectious Diseases ◽  
Town Planning ◽  
Economic Factors ◽  
Mediating Role ◽  
Panel Ardl ◽  
Country Level ◽  
Long Run ◽  
The Impact ◽  
Socio Economic Factors

Background: Climate change is an alarming challenge for humanity at large due to its mediating role in emergence and spread of infectious diseases like cholera and malaria. This study was conducted to examine the effect of climate change and some socio-economic factors on incidence of infectious diseases. Methods: We used country level panel data over the 1990-2017 period using panel ARDL-PMG technique on highly affected countries from climate change. Results: There is a long run co-integrating relationship among climate change, socio-economic factors and prevalence of infectious diseases. Climate change, as measured by the temperature, is contributing to the spread of infectious diseases. Conclusion: This is the first study giving evidence of the impact of climate change on incidence of infectious diseases as can be seen from highly vulnerable countries to climate change. It is recommended to improve the level of education along with public health and town planning to reduce the incidence of infectious diseases.    

Vulnerability to epidemic malaria in the highlands of Lake Victoria basin: the role of climate change/variability, hydrology and socio-economic factors

2009 ◽  
Vol 99 (3-4) ◽  
pp. 473-497 ◽  
Author(s):  
Shem O. Wandiga ◽  
Maggie Opondo ◽  
Daniel Olago ◽  
Andrew Githeko ◽  
Faith Githui ◽  
...  
Keyword(s):  
Climate Change ◽  
Lake Victoria ◽  
Economic Factors ◽  
Lake Victoria Basin ◽  
Socio Economic Factors

scholarly journals Spatial indicators for desertification in south-east Vietnam

2019 ◽  
Author(s):  
Le Thi Thu Hien ◽  
Anne Gobin ◽  
Pham Thi Thanh Huong
Keyword(s):  
Climate Change ◽  
Spatially Explicit ◽  
Economic Factors ◽  
Future Scenarios ◽  
Human Pressure ◽  
North East ◽  
The North ◽  
Land And Water Management ◽  
Spatial Indicators ◽  
Socio Economic Factors

Abstract. Desertification is influenced by different factors that relate to climate, soil, topography, geology, vegetation, human pressure and land and water management. The quantification of these factors into spatially explicit indicators and subsequent evaluation provides for a framework that allows to identify areas currently at risk of desertification and to evaluate important contributing bio-physical and socio-economic factors. Applied to south-east Vietnam, a baseline 2010 map showed that 14.4 % of the area, mainly along the coast and in the north east, is desertified with another 35.4 % at severe risk of desertification. The Ministry of Environment has defined the area with a ratio of rainfall to evapotranspiration smaller or equal to 0.65, which equals 1,233 km2 or 15 % of the province, as desertified area. The developed framework allows for decision support in a what if structure, and for the projection of potentially vulnerable areas under future scenarios. With projected climate change and current population growth the desertified area is expected to increase with 122 % (or 137,850 ha) towards 2050. The methodology can be extended to neighbouring provinces that experience similar sensitivities to desertification.

Sign in / Sign up

Export Citation Format

Share Document