scholarly journals Household’s Agricultural Vulnerability to Climate Induced Disasters: A Case on South-west Coastal Bangladesh

2021 ◽  
Author(s):  
Md. Ayatullah Khan ◽  
Kazi Humayun Kabir ◽  
Kamrul Hasan ◽  
Rashmia Sultana ◽  
Sardar Al Imran ◽  
...  
Keyword(s):  
Adaptive Capacity ◽  
Formal Education ◽  
Vulnerability Index ◽  
Farm Size ◽  
Average Score ◽  
Intergovernmental Panel ◽  
Coastal Bangladesh ◽  
Agricultural Vulnerability ◽  
Farm Credit ◽  
Study Sites

Abstract The purpose of this study was to assess household’s agricultural vulnerability to climate induced disasters and to identify the indicators of adaptive capacity that determine the vulnerability of south-western coastal household’s in Bangladesh. The vulnerability was calculated by taking the Intergovernmental Panel on Climate Change (IPCC) concept through an Agricultural Vulnerability Index (AVI). Then the ordered logit model was employed in order to identify key determinants of agricultural vulnerability to climate induced disasters. A survey of 346 household’s head from the two settlements (181 household’s head from Sutarkhali and 165 household’s head from Nalian) of Sutarkhali Union of Dacope Upazila under Khulna District was used in this study. Findings revealed that the mean score of Sutarkhali was 0.703 (high) in exposure, 0.724 (high) in sensitivity, 0.341 (low) in adaptive capacity and finally, the agricultural vulnerability index (AVI) was 0.695 (high). On the same fashion, Nalian was an average score of 0.697 (high) in exposure, 0.721 (high) in sensitivity, 0.386 (low) in adaptive capacity, and finally 0.677 (high) in agricultural vulnerability index (AVI). Annual savings, formal education, ownership of livestock, improved seeds supply, access to irrigation pump, improved crop diversification/ High Yielding Variety (HYV) crops, access to large farm size and access to farm credit were found to be statistically significant indicators of adaptive capacity that determine agricultural vulnerability of the both study sites. Finally it is recommended that the intervention required for coastal adaptation of agriculture should be initiated by respective authorities.

scholarly journals Household’s Agricultural Vulnerability to Climate Induced Disasters: A Case on South-west Coastal Bangladesh

2021 ◽  
Author(s):  
Md. Ayatullah Khan ◽  
Kazi Humayun Kabir ◽  
Kamrul Hasan ◽  
Rashmia Sultana ◽  
Sardar Al Imran ◽  
...  
Keyword(s):  
Adaptive Capacity ◽  
Vulnerability Index ◽  
Average Score ◽  
Intergovernmental Panel ◽  
Coastal Bangladesh ◽  
Coastal Adaptation ◽  
Agricultural Vulnerability ◽  
Farm Credit ◽  
Household Heads ◽  
Study Sites

Abstract Climatic events have a significant impact on south-western coastal agriculture in Bangladesh. The purpose of this study was to assess household’s agricultural vulnerability to climate-induced disasters and to identify the sub-indicators of adaptive capacity that determine the agricultural vulnerability to climate-induced disasters of south-western coastal households in Bangladesh. The vulnerability has been calculated by taking the Intergovernmental Panel on Climate Change (IPCC) concept through an Agricultural Vulnerability Index (AVI). Then, the ordered logit model has been employed to identify the key sub-indicators of adaptive capacity that determine the agricultural vulnerability to climate-induced disasters. A survey of 346 household heads from the two villages (181 household’s head from Sutarkhali and 165 household’s head from Nalian) of Sutarkhali Union of Dacope Upazila under Khulna District has been used in this study. Findings reveal that the mean score of Sutarkhali is 0.703 (high) for exposure, 0.762 (high) for sensitivity, 0.397 (low) for adaptive capacity and finally, the AVI is 0.689 (high). In the same fashion, Nalian has an average score of 0.658 (high) for exposure, 0.681 (high) for sensitivity, 0.410 (low) for adaptive capacity, and finally 0.643 (high) for the AVI. Non-farm employment, ownership of livestock, access to irrigation pump, improved crop diversification/ saline tolerant High Yielding Variety (HYV) crops, and access to farm credit have been found statistically significant sub-indicators of adaptive capacity that determine the agricultural vulnerability of both study sites. Finally, it is recommended that the intervention required for coastal adaptation of agriculture should be initiated by respective authorities.

scholarly journals Household’s Agricultural Vulnerability to Climate Induced Disasters: A Case on South-west Coastal Bangladesh

2021 ◽  
Author(s):  
Md. Ayatullah Khan ◽  
Kazi Humayun Kabir ◽  
Kamrul Hasan ◽  
Rashmia Sultana ◽  
Sardar Al Imran ◽  
...  
Keyword(s):  
Adaptive Capacity ◽  
Vulnerability Index ◽  
Average Score ◽  
Intergovernmental Panel ◽  
Coastal Bangladesh ◽  
Coastal Adaptation ◽  
Agricultural Vulnerability ◽  
Farm Credit ◽  
Household Heads ◽  
Study Sites

Abstract Climatic events have a significant impact on south-western coastal agriculture in Bangladesh. The purpose of this study was to assess household’s agricultural vulnerability to climate-induced disasters and to identify the sub-indicators of adaptive capacity that determine the agricultural vulnerability to climate-induced disasters of south-western coastal households in Bangladesh. The vulnerability has been calculated by taking the Intergovernmental Panel on Climate Change (IPCC) concept through an Agricultural Vulnerability Index (AVI). Then, the ordered logit model has been employed to identify the key sub-indicators of adaptive capacity that determine the agricultural vulnerability to climate-induced disasters. A survey of 346 household heads from the two villages (181 household’s head from Sutarkhali and 165 household’s head from Nalian) of Sutarkhali Union of Dacope Upazila under Khulna District has been used in this study. Findings reveal that the mean score of Sutarkhali is 0.703 (high) for exposure, 0.762 (high) for sensitivity, 0.397 (low) for adaptive capacity and finally, the AVI is 0.689 (high). In the same fashion, Nalian has an average score of 0.658 (high) for exposure, 0.681 (high) for sensitivity, 0.410 (low) for adaptive capacity, and finally 0.643 (high) for the AVI. Non-farm employment, ownership of livestock, access to irrigation pump, improved crop diversification/ saline tolerant High Yielding Variety (HYV) crops, and access to farm credit have been found statistically significant sub-indicators of adaptive capacity that determine the agricultural vulnerability of both study sites. Finally, it is recommended that the intervention required for coastal adaptation of agriculture should be initiated by respective authorities.

Identification of factors associated with satisfaction of farmers-group members in Kwara State Nigeria

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Sola Emmanuel Komolafe ◽  
Adeseye Olusikemi Awoyemi ◽  
Saheed Olayinka Jimba ◽  
Gbolagade Benjamin Adesiji
Keyword(s):  
Formal Education ◽  
Sampling Procedure ◽  
Farm Size ◽  
Chi Square ◽  
Access To Credit ◽  
Factors Associated ◽  
Level Of Satisfaction ◽  
Farm Credit ◽  
Group Members ◽  
And Performance

The satisfaction of members is fundamental to group cohesion and eventual maximization of the potential of farmer groups as catalysts for agricultural and rural development in Nigeria. The study examined the factors associated with membership satisfaction in Irepodun Local Government Area of Kwara State, Nigeria. A two-stage random sampling procedure was used to select 120 respondents on which a questionnaire was administered. Descriptive statistics involving frequency counts, percentages, means and the Likert scale were used to present the results of the study. Pearson’s Product Momment Correlation and Chi-square analyses were used to test the hypotheses of the study. The result revealed that all the members were male (100%), married (97.5%) and had no formal education (68.3%). The groups were well organized as revealed by their regular meetings, democratically elected leadership and payment of dues. However joint ownership of assets was poor among the groups. Majority of the members benefitted in farm credit (100%), social gains (92.5%) and input distribution (73.3%). A moderate level of satisfaction (mean=3.01) was observed among members mostly in usage of monthly due (mean=4.62), timing of farmer's group (mean=4.06) and performance of your group officials (4.00). The factors associated with membership satisfaction were farm size and household size while derivation of benefits such as access to credit, input, extension training and social gains also positively influenced membership satisfaction. The study concluded that membership satisfaction was moderate and influenced by the identified factors. It therefore recommended farmers group should consider farm size of each members while distributing benefits like farm credit and inputs.

scholarly journals Farm households' levels of vulnerability to extreme weather events in South-Eastern Nigeria

2021 ◽  
Vol 21 (02) ◽  
pp. 17450-17463
Author(s):  
JN Obi ◽  
◽  
AA Enete ◽  
JO Munonye ◽  
◽  
...  
Keyword(s):  
Risk Management ◽  
Adaptive Capacity ◽  
Vulnerability Index ◽  
Extreme Weather ◽  
Farm Households ◽  
Farm Size ◽  
Extreme Weather Events ◽  
South Eastern ◽  
Weather Events ◽  
Farming Households

The impacts of climate change risks, risk management mechanisms, and the physical environment under which farm households operate play significant roles in poverty and hidden hunger dynamics in developing countries. Extreme weather events are most often triggers of changes in risk management, which also affect the capacity of households to absorb the resultant shocks. This paper based on primary data collected as part of a PhD dissertation in the Department of Agricultural Economics, University of Nigeria, Nsukka, presents an analysis of farm households’ levels of vulnerability to extreme weather events in South-eastern Nigeria. A multistage sampling procedure was used in the selection of 120male-and 120 female-headed farm households that constituted the sample for the study. Both structured interview schedule and focus group discussion guide were used to gather data from the respondents, which were analyzed using UNDP vulnerability index. Using household adaptive capacity approach, data were collected on human, economic and institutional capacity of farmers in coping with extreme weather events. Female-headed households were more vulnerable than their male-headed counterparts to the effect of extreme weather events with respect to some of the indicators such as farming income, years of formal education, farm size, land ownership status, number of extension contacts, access to weather information, access to remittance, membership of cooperative and assistance from National Emergency Management Agency in the area. Overall, using household adaptive capacity approach, the results of the gender-based vulnerability analysis showed male-headed farming households with a vulnerability index of 0.38 while the female-headed farming households, on the other hand, had vulnerability index of 0.68. Although female-headed farm households were more vulnerable than their male counterparts, the farmers were all generally highly vulnerable to the incidence of natural disasters because of low adaptive capacity. The study recommends that government and development partners with the responsibility of protecting the environment should be gender-sensitive and redirect more effort in mitigating the negative agricultural effects caused by extreme weather events, especially among female-headed farm households who are more vulnerable.

scholarly journals Household Livelihood Vulnerability to Climate Change in West China

2022 ◽  
Vol 19 (1) ◽  
pp. 551
Author(s):  
Jinyu Shen ◽  
Wei Duan ◽  
Yuqi Wang ◽  
Yijing Zhang
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Household Head ◽  
Vulnerability Index ◽  
Multiple Regression Model ◽  
Western China ◽  
Intergovernmental Panel ◽  
Adaptive Capability ◽  
Vulnerable Community ◽  
Household Livelihood

Climate change disproportionately affects natural resource-dependent communities in the ecologically vulnerable regions of western China. This study used the household livelihood vulnerability index under the Intergovernmental Panel on Climate Change (HLV-IPCC) to assess vulnerability. Data were collected from 823 households in Ningxia, Gansu, Guangxi, and Yunnan provinces, these being ecologically vulnerable regions in China. With a composite HLVI-IPCC and multiple regression model, the factors that affect households’ adaptive capability to HLVI-IPCC was estimated. Results indicate that Ningxia is the most vulnerable community, while Guangxi is the least vulnerable community across all indices. Moreover, Gansu has the heaviest sensitivity and exposure to climate change, whereas Ningxia has the highest adaptive capability to climate change. In addition, the age of household head and distance of the home to the town center had significant negative impacts on households’ adaptive capacity to HLVI-IPCC. The results also suggest that the HLVI assessment can provide an effective tool for local authorities to formulate prioritizing strategies with promoting climate-resilient development and increasing long-term adaptive capacity.

scholarly journals Assessing Impact of Climate Variability in Southwest Coastal Bangladesh Using Livelihood Vulnerability Index

Climate ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 107
Author(s):  
Sabrina Mehzabin ◽  
M. Shahjahan Mondal
Keyword(s):  
Climate Variability ◽  
Linear Regression Analysis ◽  
Kendall Test ◽  
Vulnerability Index ◽  
Precipitation Anomaly ◽  
Primary Data ◽  
Precipitation Concentration Index ◽  
Coastal Bangladesh ◽  
Present Decade ◽  
The Impact

This study analyzed the variability of rainfall and temperature in southwest coastal Bangladesh and assessed the impact of such variability on local livelihood in the last two decades. The variability analysis involved the use of coefficient of variation (CV), standardized precipitation anomaly (Z), and precipitation concentration index (PCI). Linear regression analysis was conducted to assess the trends, and a Mann–Kendall test was performed to detect the significance of the trends. The impact of climate variability was assessed by using a livelihood vulnerability index (LVI), which consisted of six livelihood components with several sub-components under each component. Primary data to construct the LVIs were collected through a semi-structed questionnaire survey of 132 households in a coastal polder. The survey data were triangulated and supplemented with qualitative data from focused group discussions and key informant interviews. The results showed significant rises in temperature in southwest coastal Bangladesh. Though there were no discernable trends in annual and seasonal rainfalls, the anomalies increased in the dry season. The annual PCI and Z were found to capture the climate variability better than the currently used mean monthly standard deviation. The comparison of the LVIs of the present decade with the past indicated that the livelihood vulnerability, particularly in the water component, had increased in the coastal polder due to the increases in natural hazards and climate variability. The index-based vulnerability analysis conducted in this study can be adapted for livelihood vulnerability assessment in deltaic coastal areas of Asia and Africa.

scholarly journals Assessing the Vulnerability of Marine Fisheries in China: Towards an Inter-Provincial Perspective

2018 ◽  
Vol 10 (11) ◽  
pp. 4302 ◽  
Author(s):  
Qi Chen ◽  
Weiteng Shen ◽  
Bing Yu
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Fisheries Management ◽  
Vocational Training ◽  
Large Scale ◽  
Environmental Changes ◽  
Marine Pollution ◽  
Marine Fisheries ◽  
Intergovernmental Panel ◽  
Adaptation Measures

China’s marine fisheries are undergoing large-scale environmental changes associated with climate change, marine pollution, and overfishing. The assessment of marine fisheries vulnerability has become extremely necessary for fisheries management and sustainable development. However, studies on China’s marine fisheries vulnerability remains sparse. This study aimed to provide an analysis of the inter-provincial level vulnerability of China’s marine fisheries under multiple disturbances. The vulnerability measure was composed of exposure, sensitivity, and adaptive capacity indicators specific to marine fisheries based on the Intergovernmental Panel on Climate Change (IPCC) definitions. Results showed that Liaoning, Hebei, Fujian, and Hainan provinces appeared to be the most vulnerable; Shanghai appeared to be less vulnerable among China’s 11 coastal provinces; and the key sources of vulnerability differed considerably among coastal regions. The high vulnerability regions could be divided into two different patterns according to the combination of exposure, sensitivity, and adaptive capacity, but they all had one thing in common: relatively low adaptive capacity. While some existing coercive measures to reduce dependence on fisheries were found to be helpful in China, the reality showed that appropriate adaptation measures such as improving fishermen’s education level and increasing vocational training may be helpful in enhancing the existing policy effectiveness.

scholarly journals Extension Activities for Arable Crops Production in Akure South Local Government Area, Ondo State, Nigeria

1970 ◽  
Vol 22 (1) ◽  
pp. 1-10
Author(s):  
O.V. Ayodele ◽  
M.O. Akindele
Keyword(s):  
Local Government ◽  
Formal Education ◽  
Sampling Procedure ◽  
Local Government Area ◽  
Farm Size ◽  
Extension Service ◽  
Extension Services ◽  
Arable Crops ◽  
Arable Crop ◽  
Ondo State

The study examined agricultural extension activities for arable crops production in Akure South Local Government Area (LGA), Ondo State, Nigeria. Multistage sampling procedure was used to select respondents. Data were collected using interview schedule, and analyzed using descriptive statistics and Chi-square. Most respondents (65.6%) were male, 77.1% had formal education with a mean age of 47 years and an average household size of five (4). Furthermore, 80.2% had less than five hectares of land for arable crop farming while 40% of the respondents farmed for family consumption only. Major source of extension services was government agencies. The most accessed services were; choosing of planting dates and introduction to improved seedlings with a mean score of 3.18 and 3.13 respectively. A significant relationship existed between farmers’ perception about extension service and most socio economic characteristics such as; age (χ2 =57.92, P≤0.05) and farm size (χ2 = 65.283, P≤0.05). The study concluded that extension services in the study area were highly accessed and that farmers have high perception about extension services. It recommends more private agencies participation in extension services.Keywords: Extension service, arable crop farmers and perception.

scholarly journals An Assessment of Vulnerability of Fishers’ Livelihood to Climate Change in Coastal Odisha

2019 ◽  
Vol 14 (1) ◽  
pp. 60-67 ◽  
Author(s):  
Sambit Priyadarshi ◽  
S. N. Ojha ◽  
Arpita Sharma
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
East Coast ◽  
Vulnerability Index ◽  
The State ◽  
Context Specificity ◽  
East Coast Of India ◽  
Index Approach ◽  
Vulnerability Score

A study was conducted in Odisha, a state on the east coast of India, with the objective of assessing the vulnerability of fishers’ livelihood to climate change. The state was chosen for study since it is considered as one of the most vulnerable states due to climate change. A total of 120 fishers were interviewed from two districts, Balasore and Ganjam, to assess their livelihood vulnerability by considering their exposure, sensitivity and adaptive capacity to climate change. A composite livelihood vulnerability index by suggesting that fishers are vulnerable to climate change. For fishers of + 0.03 and for Ganjam it was 0.5 minima 0, and maxima 1 was used for the purpose. Baleswar the score was 0.56 0.04, s. The aggregated vulnerability score was found to be 0.54+The composite livelihood vulnerability index approach calculates vulnerability by aggregating data for a set of indicators for the components of vulnerability which include exposure, sensitivity, and adaptive capacity + 0.04. Vulnerability score was relatively higher in Baleswar due to higher scores on the exposure and sensitivity parameters overshadowing the higher adaptive capacity. The study shows evidence that marine fishers of Odisha are vulnerable to climate change. Also, it throws light on the location and context specificity of livelihood vulnerability.

scholarly journals MOTIVASI PETANI DALAM MEMPERTAHANKAN SISTEM TRADISIONAL PADA USAHATANI PADI SAWAH DI DESA PARBAJU JULU KABUPATEN TAPANULI UTARA PROPINSI SUMATERA UTARA

2011 ◽  
Vol 10 (1) ◽  
pp. 51-62
Author(s):  
. Reflis ◽  
M. Nurung ◽  
Juliana Dewi Pratiwi
Keyword(s):  
Formal Education ◽  
Family Members ◽  
Rank Correlation ◽  
Farming Systems ◽  
Farming System ◽  
Farm Size ◽  
Rice Farming ◽  
Traditional System ◽  
Size Number ◽  
Rainfed Farming

This research aims to identify factors correlated significantly to the motivation of farmers in perseving traditional rainfed farming systems, such as using local seeds and planting once a year.  The population of this study is farmer who still perform the traditional paddy farming system in the Village of North Tapanuli Parbaju Julu County North Sumatra Province. As much as 48 respondents randomly selected from 160 farmers.  A descriptive analyse and Spearman rank correlation are applied in this study.   The study showed that formal education, farmers' perception of the traditional system of rice farming are correlated significantly to farmer motivation in preserving tradional farming system while non-formal education, the traditional system of farming experience, farm size, number of family members are not.  Factors that correlated significantly to farmer motivation in maintaining local seed is non-formal education, farming experience, while the traditional system of formal education, farmers' perception of traditional rice farming system, farm size, number of family members are not correlated significantly.  Furthermore, the number of family members is merely factor that correlated significantly to the farmers motivation in maintaining once a year plantings while others factors are not correlated. Key words: farmer motivation, preserving, traditional farming

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