Did the commodity price spike increase rural poverty? Evidence from a long-run panel in Bangladesh

Balagtas, Joseph Valdes; Bhandari, Humnath; Cabrera, Ellanie; Mohanty, Samarendu; Hossain, Mahabub

doi:10.1111/agec.12066

Cited by 27 publications

(18 citation statements)

References 16 publications

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“…We found a negative association between household head's age and food security (−0.091; p < 0.10). Similar results were also found in past research (Balagtas, Bhandari, Cabrera, Mohanty & Hossain, 2014;Mannaf & Uddin, 2012). These results are mainly due to household heads' inability to do relatively hard work in the farm and non-farm sectors as their age increases.…”

Section: Age Of Household Headsupporting

confidence: 92%

Drivers of Food Security of Vulnerable Rural Households in Bangladesh

Alam

Mushtaq

2018

South Asia Economic Journal

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Despite improvements in food production, many rural households in Bangladesh are still food insecure, and this requires urgent policy intervention if the situation is to improve. This article examines the factors influencing food security of vulnerable rural riverine households in Bangladesh. The results reveal that riverine households' lack of access to many basic necessities and services, such as food, safe drinking water, education and health, results in increased vulnerability to food insecurity which could lead to an unfortunate vicious cycle of poverty.Model results indicate that household heads' education, household size, adoption of livestock and access to non-farm earnings also affect food security. More importantly, evidence suggests that access to improved health care also needs policy support in parallel with improved access to food to achieve and sustain long-term food security in Bangladesh. JEL: D130, E230, Q540, Q180Research Article

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Section: Age Of Household Headsupporting

confidence: 92%

Drivers of Food Security of Vulnerable Rural Households in Bangladesh

Alam

Mushtaq

2018

South Asia Economic Journal

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“…In our data, this income threshold level is approximately 1,000 Taka per person per month, or slightly less than the rural poverty line in Bangladesh calculated by Balagtas et al. (). Households below this threshold have almost no precautionary savings.…”

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confidence: 66%

“…In Fig. , we find an asymmetry in precautionary non‐rice savings centered approximately around 1,000 Taka, which is slightly below the rural poverty line of 1,266 Taka (Balagtas et al., ). For income greater than 1,000 Taka, we find a strong negative relationship between the share of precautionary non‐rice savings and income.…”

Section: Effects Of Production Risk On Precautionary Savings and Storagementioning

confidence: 45%

The importance of the savings device in precautionary savings: Empirical evidence from rural Bangladesh

Michler

Balagtas

2016

Agricultural Economics

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We test if precautionary behavior in the consumption decisions of rural households differs across the forms of savings. Using monthly panel data from Bangladesh, we find that, on average, the savings device does not matter but that the effect of income on savings indeed depends on the savings device. Precautionary savings in the form of staple grain are relatively constant across income quartiles, while nongrain precautionary savings vary across income quartiles. Previous studies, which treat these two types of savings devices as fungible, misdiagnose the reasons for, and by extension the market failures behind, a large percentage of the precautionary savings held by rural households.JEL classifications: D12, D91, O12, Q10

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“…Reliable and regular subnational information on the area under production is an essential part of many countries' national accounting process, but statistical methods cannot always meet the needs of food security research and policy [4,5]. Nevertheless, this same information is the basis of policy decisions related to imports, exports and prices, which directly impact food security, especially amongst the poor [6][7][8].…”

Section: The Case For Synthetic Aperture Radar To Map Ricementioning

confidence: 99%

Towards an Operational SAR-Based Rice Monitoring System in Asia: Examples from 13 Demonstration Sites across Asia in the RIICE Project

et al. 2014

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Rice is the most important food security crop in Asia. Information on its seasonal extent forms part of the national accounting of many Asian countries. Synthetic Aperture Radar (SAR) imagery is highly suitable for detecting lowland rice, especially in tropical and subtropical regions, where pervasive cloud cover in the rainy seasons precludes the use of optical imagery. Here, we present a simple, robust, rule-based classification for mapping rice area with regularly acquired, multi-temporal, X-band, HH-polarized SAR imagery and site-specific parameters for classification. The rules for rice detection are based on the well-studied temporal signature of rice from SAR backscatter and its relationship with crop stages. We also present a procedure for estimating the parameters based on "temporal feature descriptors" that concisely characterize the key information in the rice signatures in monitored field locations within each site. We demonstrate the robustness of the approach on a very large dataset. A total of 127 images across 13 footprints in six countries in Asia were obtained between October 2012, and April 2014, covering 4.78 m ha. More than 1900 in-season site visits were conducted across 228 monitoring locations in the footprints for classification purposes, and more than 1300 field observations were made for accuracy assessment. Some 1.6 m ha of rice were mapped with classification accuracies from 85% to 95% based on the parameters that were closely related to the observed temporal feature descriptors derived for Remote Sens. 2014, 6 10775 each site. The 13 sites capture much of the diversity in water management, crop establishment and maturity in South and Southeast Asia. The study demonstrates the feasibility of rice detection at the national scale using multi-temporal SAR imagery with robust classification methods and parameters that are based on the knowledge of the temporal dynamics of the rice crop. We highlight the need for the development of an open-access library of temporal signatures, further investigation into temporal feature descriptors and better ancillary data to reduce the risk of misclassification with surfaces that have temporal backscatter dynamics similar to those of rice. We conclude with observations on the need to define appropriate SAR acquisition plans to support policies and decisions related to food security.

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Did the commodity price spike increase rural poverty? Evidence from a long-run panel in Bangladesh

Cited by 27 publications

References 16 publications

Drivers of Food Security of Vulnerable Rural Households in Bangladesh

Drivers of Food Security of Vulnerable Rural Households in Bangladesh

The importance of the savings device in precautionary savings: Empirical evidence from rural Bangladesh

Towards an Operational SAR-Based Rice Monitoring System in Asia: Examples from 13 Demonstration Sites across Asia in the RIICE Project

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