The Status of Geography and Environmental Studies at Secondary Level Education in Bangladesh

Rithu, Mst. Nazira Akhter; Rahman, Md. Mizanur; Al-Maruf, Abdullah

doi:10.9734/acri/2016/29017

Cited by 5 publications

(4 citation statements)

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“…Farmers who were more familiar with how an insurance scheme helps in reducing risk among communities were more interested in participating than those who were less familiar. Familiarity of WIBCI to farmers differs geographically, reflecting the different levels of education [47,48] and knowledge about damages and losses due to various disasters [49]. Second, at least a third of the rural population is living below the poverty threshold.…”

Section: Limitation Of Farmer Knowledge Trust and Premium Payment Abi...mentioning

confidence: 99%

“…Another common farmer comment was the idea of creating a petition system for crop loss assessment. The difficulty here is that some may be thinking of a claim system, which is incompatible with a weather-index system [48]. Some WIBCI pilots have experimented with a petition system for crop loss assessments, which can provide additional information for improving the weather-index.…”

Section: Insurance Product Design and Administrative Costsmentioning

confidence: 99%

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Piloting a Weather-Index-Based Crop Insurance System in Bangladesh: Understanding the Challenges of Financial Instruments for Tackling Climate Risks

et al. 2021

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Bangladesh is one of the most vulnerable countries in the world to extreme climate events. With over 60% of its population living in rural areas, over a third of which lives under the poverty line and depends on agriculture, these climate stresses constitute a major challenge. The traditional financial instruments, e.g., microcredit and relief programs, continue today. However, how climate risk can be tackled through innovative financial instruments focusing on agriculture farms and farmers is crucial. Considering this issue, the Sadharan Bima Corporation and the Bangladesh Meteorological Department joined forces in 2014 to launch a $2.5 million three-year pilot project on weather-index-based crop insurance (WIBCI) executed by the Financial Institutions Division of the Bangladesh government’s Ministry of Finance. This study examined the basic strategy of this pilot project, the major challenges confronted, and possible solutions for creating a successful weather-index-based crop insurance scheme in Bangladesh. We relied on key informant interviews, informal discussions, focus group discussions, and in-depth interviews with the major stakeholders of the WIBCI pilot. These showed the WIBCI pilot to be a promising initiative that still faces problems from limited weather data, a costly business operations system, farmer insurance illiteracy, and fatalism, as well as problems with designing insurance products and recruiting qualified personnel. We compared this WIBCI pilot against the challenges of other projects, recommending best practices for a viable weather-index-based crop insurance system. The insurance mechanism of this study may apply to other vegetation sectors of Bangladesh, e.g., forest plantation or agroforestry for protecting natural resources from natural disasters.

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Section: Limitation Of Farmer Knowledge Trust and Premium Payment Abi...mentioning

confidence: 99%

Section: Insurance Product Design and Administrative Costsmentioning

confidence: 99%

Piloting a Weather-Index-Based Crop Insurance System in Bangladesh: Understanding the Challenges of Financial Instruments for Tackling Climate Risks

et al. 2021

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“…As such, farmers with high organizational participation represent a relatively higher percentage of R-U migrants [91]. Our results also indicated that farmers who have received training from governmental and not-for-profit organizations are more likely to migrate from rural to urban areas [71]. Trained farmers are exposed to a wide range of ideas and knowledge, such as seeding, pesticides, irrigation, and crop selection [59,62].…”

Section: Underlying Factors Affecting Farmers' Internal Migrationmentioning

confidence: 86%

“…Description of selected variables and sources for assessing farmers' rural-urban migration. Training received Access to the various training programs 1 for each training day [71,77] Family farm size Total farm size In hectares (ha) [78] Family income Total monthly income In thousand Bangladesh taka (BDT) [79] Family size Number of family members Number of family members [80] Family debt Total monthly debt In thousand Bangladesh taka (BDT) [81] Unemployment in rural areas Status of unemployment in rural areas of farmers Five-point Likert scale (0-4): very rare = 1; rare = 2: frequent = 3, and very frequent = 4 [55] Table 1. Cont.…”

Section: Variable Selection and Analysismentioning

confidence: 99%

Exploring the Factors of Farmers’ Rural–Urban Migration Decisions in Bangladesh

et al. 2022

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In Bangladesh, rural–urban migration is widespread. Many earlier studies discussed the factors, patterns, causes, and consequences and the socio-economic and environmental impact of migration from the general perspective. However, rural–urban migration with a particular focus on particular communities or migrants’ employment profiles, for instance, farmers, is poorly described. In contrast, many farmers move from rural to urban areas every year in Bangladesh. However, the factors that affect farmers’ rural-to-urban migration are a primary concern to academia and key actors, as the country’s economy mainly depends on agriculture and farming. This paper, therefore, aimed to identify the underlying factors of the rural–urban (R–U) migration of farmers in Bangladesh. Data for this study came from phone interviews conducted with 254 migrant farmers living in city districts in Bangladesh. We adopted a three-step approach to select and identify factors that impacted farmers’ decision to move from rural to urban settings. First, we reviewed the extant literature and compiled more than 70 variables of interest relevant to farmers’ migration. Second, 30 variables were selected for data collection after consultations with key informants (KIIs) and informal discussions (IDs) with farmers and local community leaders. Besides, the Q-methodology was used to assess the level of importance of the selected variables. Lastly, principal component analysis (PCA) was performed to extract salient dimensions of farmers’ rural-to-urban migration, where 21 variables were detected that consistently exceeded a threshold value of 0.50 of communality for further analysis. Our findings show that six dimensions—i.e., individual, household, economic, attitudinal, spatial, and climate-induced extremes—significantly influence and contribute to rural urban migration decisions for farmers. Further, our results indicated that age, agricultural knowledge, household debt, seasonal famine/poverty (Monga), unemployment in rural areas, availability of anticipated job opportunities in urban areas, shortage of agricultural inputs, and river erosion significantly influenced farmers’ decision to leave their farms in Bangladesh. Findings from this study may be used as inputs in predictive models and benchmark guidelines for assessing trends and patterns of rural-to-urban migration and for the formulation of policy and programs targeting domestic migration in Bangladesh for proper urban planning and further rural development.

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How households adapt to heat wave for livable habitat? A case of medium-sized city in Bangladesh

Tawsif¹,

Alam²,

Al-Maruf³

2022

Current Research in Environmental Sustainability

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The Status of Geography and Environmental Studies at Secondary Level Education in Bangladesh

Cited by 5 publications

References 0 publications

Piloting a Weather-Index-Based Crop Insurance System in Bangladesh: Understanding the Challenges of Financial Instruments for Tackling Climate Risks

Piloting a Weather-Index-Based Crop Insurance System in Bangladesh: Understanding the Challenges of Financial Instruments for Tackling Climate Risks

Exploring the Factors of Farmers’ Rural–Urban Migration Decisions in Bangladesh

How households adapt to heat wave for livable habitat? A case of medium-sized city in Bangladesh

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