2023-09-28 14:46:10 +00:00
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abstract: 'This paper examines the farm income differences, income inequality of
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farm households, parameters of income variability that ascertain
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vulnerability levels, and cost-income variability of agricultural crops
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in four districts of Mymensingh division in Bangladesh. Six hundred farm
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households from Mymensingh division were used as the source of data for
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the current study. The results of the analysis show that per capita
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income difference is significant in farm household among the districts,
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and agricultural income variation play an important role in per capita
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income. Higher income from agriculture contributed lower income
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inequality in the districts, even though employment income is dominant
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in most of the districts and highest income inequality is found in
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Netrokona district. Rice is the leading crop in most of districts,
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except Mymensingh where income share of other crops is high in the total
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agricultural income. Remittance income shows the higher income
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inequality among the districts that are lowest in employment and then
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agriculture. Agriculture is a primary contributor of inducing income
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disparity of farm households. In this context, we found that the key
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variation of agricultural income comes fromamanHYV andboroHYV rice
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crops. The cost and income of these rice crops was largely calculated
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based on the enhanced yields, higher irrigation, and chemical fertilizer
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and hired labor use per hectare land. By using the lognormal
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distribution under two scenarios (baseline, yield loss), we estimated
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the poverty rates resulted from the yield loss of rice production due to
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potential climate change impact in different districts. The unexpected
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yield loss of rice by climate change impact leads to the projection that
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poverty rates in Jamalpur and Netrokona districts would increase. It is,
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therefore, recommended that proper management of agricultural farms,
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crop diversification, and appropriate technology interventions are
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necessary to reduce income inequality and losses of farm income from
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climate change impact.'
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affiliation: 'Alamgir, MS (Corresponding Author), Sylhet Agr Univ, Dept Agr Finance
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\& Banking, Sylhet 3100, Bangladesh.
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Alamgir, Md. Shah; Ahmed, Md. Rashid, Sylhet Agr Univ, Dept Agr Finance \& Banking,
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Sylhet 3100, Bangladesh.
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Furuya, Jun; Kobayashi, Shintaro, Japan Int Res Ctr Agr Sci, Social Sci Div, Tsukuba,
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Ibaraki 3058686, Japan.
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Mostafiz, Rubaiya Binte, Univ Tsukuba, Grad Sch Life \& Environm Sci, Tsukuba, Ibaraki
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3058572, Japan.'
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author: Alamgir, Md. Shah and Furuya, Jun and Kobayashi, Shintaro and Mostafiz, Rubaiya
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Binte and Ahmed, Md. Rashid
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author-email: salamgir.afb@sau.ac.bd
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author_list:
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- family: Alamgir
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given: Md. Shah
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- family: Furuya
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given: Jun
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- family: Kobayashi
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given: Shintaro
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- family: Mostafiz
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given: Rubaiya Binte
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- family: Ahmed
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given: Md. Rashid
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da: '2023-09-28'
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doi: 10.1007/s10708-020-10231-2
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earlyaccessdate: MAY 2020
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eissn: 1572-9893
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files: []
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issn: 0343-2521
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journal: GEOJOURNAL
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keywords: Farm income; Inequality; Poverty; Climate change
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keywords-plus: LEVEL ADAPTATION; RICE YIELD
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language: English
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month: DEC
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number: '6'
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number-of-cited-references: '68'
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orcid-numbers: '/0000-0001-5400-3424
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Alamgir, Md. Shah/0000-0003-4494-2801'
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pages: 2861-2885
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papis_id: f9916af6fbccfd1519426ce661e90842
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ref: Alamgir2021farmincome
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researcherid-numbers: '古家, 淳/GPC-5902-2022
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'
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times-cited: '10'
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title: 'Farm income, inequality, and poverty among farm families of a flood-prone
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area in Bangladesh: climate change vulnerability assessment'
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2023-10-01 08:15:07 +00:00
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type: article
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2023-09-28 14:46:10 +00:00
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unique-id: WOS:000554765700001
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usage-count-last-180-days: '4'
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usage-count-since-2013: '13'
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volume: '86'
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web-of-science-categories: Geography
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year: '2021'
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