Agricultural Research Management Information System

Home
Research Summary
Search
About Us
- ARMIS
- Brochure
Contact Us
Report
User Request
Data Input
Help
- Operation Manual
  - PDF
  - Video
- Program Area & Commodity
We have reached 37600 number of research entries at this moment.

- Logout

Research Detail

Home
Research
Detail

Prospect of Climate Resilient Livelihood Activity in the South Central Coastal Region of Bangladesh

Md.Nurul Amin
Dept. of Environmental Science, Patuakhali Science and Technology University, Patuakhali-8602.

H. M. Solayman
Dept. of Environmental Science, Patuakhali Science and Technology University, Patuakhali-8602.

Shaila Sharmin Snigdha
Bangladesh Betar, Ministry of Information, Khulna, Bangladesh.

J. Sultana
MSc Organic Agriculture, Wageningen University, the Netherlands.

Abstract/ Executive Summary:

This study identifies the prospect of climate resilient alternative livelihood activities to reduce the effect of climate change.For this study five focus group discussion (FGD) and 120 questionnaire surveys were conducted and interpreted. Results show that house work and fishing are the most important income generating sectors in Sreepur, Char phenua, Char mahisha, Elisha koralia under Mehendiganj upazilla of Barisal district. Perceived impact of natural disasters on livelihood activities was calculated as more than medium-high effect, i.e. 3.1 in a scale of 5. Perceived resiliency of the livelihood is 36% for the traditional livelihood and the income loss due to the lack of climate resiliency of the livelihood estimates as 26000 BDT year^-1 person^-1. Perceived livelihood loss due to the natural disaster was estimated at about 50000 BDT year^-1 person ^-¹. This study specifies the prospect of climate resilient alternative livelihood activities by measuring the perceived fiscal value of the livelihood loss due to lack of climate resiliency and loss due to natural disasters in the studied areas.

Keywords: Climate resiliency, Perceived impact, Livelihood activity, Coastal region

Location: Four villages, namely Sreepur, Char phenua, Char mahisha, Elisha koralia at Alimabad Union of Mehendiganj upazilla under Barisal district

Start Date: 00-01-2016

End Date: 00-05-2016

Program Area: Risk Management in Agriculture

Non-commodity: Weather/Climate, Income generation

Objectives:

To find out the potential of alternative livelihood(s) to achieve resiliency against climate change induced disasters such as cyclone, flood, storm surges etc.

Methodology:

Study area The study was conducted involving four villages, namely Sreepur, Char phenua, Char mahisha, Elisha koralia at Alimabad Union of Mehendiganj upazilla under Barisal district having 9,760.00 people (BBS, 2011). Mehendiganj Upazilla is very much vulnerable to natural disasters and climatic stress. People experienced devastating impact of river bank erosion, flood cyclone in this area. This natural disaster and climatic stress hampered people livelihood and daily life cycle greatly (Khatun, 2013). Data collection and analysis One hundred and twenty questionnaires survey were conducted randomly for the identification of general livelihood activities and alternative or disaster adaptive livelihood activities. The number of surveys in each of the villages was uniformly distributed, i.e.thirty household survey in each of the village. Moreover, perceptions on livelihood resiliency, natural disasters and its economic losses due to the absence of resiliency and willingness to pay for alternative resilient livelihoods were also investigated through this questionnaire. Five focus group discussions (FGD) and formal dialogue were conducted for validating the information in questionnaire’s monetary estimates. Questionnaires and FGD were conducted during January to May, 2016. Monetary value estimate was predicted for the main livelihood activities, alternative livelihoods, loss for the absent of climate change induced livelihood resiliency, willingness to pay and financial loss for the natural disasters. Prediction of the magnitude of impact To identify the magnitude of impact on livelihood due to natural disasters graded matrix was used to do the analysis. We made assumptions to score the impact matrix according to the following scale: 0 –no observable effect; 1–Low effect; 2–Tolerable effect; 3 –Medium high effect; 4 –High effect; 5 –Very high effect (devastation)Here, low effect means lower loss due to the disasters that may not hamper the livelihood activity due to the disasters, tolerable effect means the effect of disaster is higher in consideration to livelihood impact but it is still manageable by the community. Medium high effect means livelihood effect due to the disaster needs some assistance to return to the previous state. High effect means the impact of disaster is not manageable and need high assistance. Very high effect assumed as unmanageable and impact that need reconstruction of most of the component of the livelihood. We calculated the magnitude of impact by averaging all of the perceived impact (sectors vs disaster events) received in our schedule during the focus group discussion.Estimating the priority index Priority index is calculated for each facility by multiplying each priority with its relative weight. Here, (0) for not identified, (1) for high priority, (0.75) for medium high priority, (0.50) for medium priority and finally (0.25) for low priority. Statistical analysis Perceived resiliency of livelihood with climate change was analyzed by using binary logistic regression. This analysis was performed to test the respondent’s perception about livelihood resiliency with climate change, any loss for the absent of climate change induced livelihood resiliency, desire to improve the climate resiliency of livelihoods in different risky situation and willing to pay to improve the livelihood means. Monetary value estimation Monetary value estimates of different parameters like main livelihood, alternative livelihood, loss due to lack of climate resiliency of the livelihood, damage due to natural disaster, willingness to pay for improving livelihood was done by multiplying the mean value of those (people perception) by the total number of respondents. Negative responses were excluded from the calculations (people who responded ‘NO’ answer for those questions), i.e.the total of the monetary value of main livelihood, alternative livelihood, loss due to lack of climate resiliency of the livelihood, damage due to natural disaster and willingness to pay for improving livelihood were calculated excluding the percentages of negatives responses from the total population. For instance, total “no” response for willingness to pay for improving livelihood was 36%, therefore, total “no” response of loss for the absent of CC induced livelihood resiliency was 35%.

Source of Information: J. Sci. Technol. Environ. Inform. 06(01): 421-430| Amin et al. (2018).

Article Link (Online Journal): https://doi.org/10.18801/jstei.060118.45

Funding Source:

Budget:

Total Budget (Tk.) :

Achievement/Findings:

Alternative livelihood has the potentials to increase resilience to livelihood development. The cumulative risk factor of climatic events on different livelihood activities was calculated as 3.1 (in a scale of 5) which was moderately high. Perceived resiliency of the livelihood is 36% for the traditional livelihood and the income loss due to the lack of climate resiliency of the livelihood was estimated as than 26000 BDT year^-¹ person^-1. In addition the perceived livelihood loss due to the natural disaster was estimated as about 50000 BDT year^-1 person^-1. Other 64% of the respondent perceived the lack of climate adaptive resiliency of their livelihood. According to the respondents the livelihood resiliency varied significantly due absences of it climate variability adaptive mechanism. The willingness to pay for the improving the livelihood was not significant, however, the amount they wanted to pay was impressive and it was about 130 BDT year^-¹ person^-1. The highest priority for managing the risk was perceived due to the lack of opportunity or options to them for managing the risk exerted from the climate event (e.g. disease outbreak, drought etc.). Findings revealed that climate resiliency of livelihood and resiliency factors related to main and alternative livelihood in the studied coastal area. This study also draws an attention to economic opportunities to facilitate people’s wellbeing to cope with climate variability and climate induces disasters.

Knowledge Management: Journal