abstract: 'This paper examines the farm income differences, income inequality of

  farm households, parameters of income variability that ascertain

  vulnerability levels, and cost-income variability of agricultural crops

  in four districts of Mymensingh division in Bangladesh. Six hundred farm

  households from Mymensingh division were used as the source of data for

  the current study. The results of the analysis show that per capita

  income difference is significant in farm household among the districts,

  and agricultural income variation play an important role in per capita

  income. Higher income from agriculture contributed lower income

  inequality in the districts, even though employment income is dominant

  in most of the districts and highest income inequality is found in

  Netrokona district. Rice is the leading crop in most of districts,

  except Mymensingh where income share of other crops is high in the total

  agricultural income. Remittance income shows the higher income

  inequality among the districts that are lowest in employment and then

  agriculture. Agriculture is a primary contributor of inducing income

  disparity of farm households. In this context, we found that the key

  variation of agricultural income comes fromamanHYV andboroHYV rice

  crops. The cost and income of these rice crops was largely calculated

  based on the enhanced yields, higher irrigation, and chemical fertilizer

  and hired labor use per hectare land. By using the lognormal

  distribution under two scenarios (baseline, yield loss), we estimated

  the poverty rates resulted from the yield loss of rice production due to

  potential climate change impact in different districts. The unexpected

  yield loss of rice by climate change impact leads to the projection that

  poverty rates in Jamalpur and Netrokona districts would increase. It is,

  therefore, recommended that proper management of agricultural farms,

  crop diversification, and appropriate technology interventions are

  necessary to reduce income inequality and losses of farm income from

  climate change impact.'
affiliation: 'Alamgir, MS (Corresponding Author), Sylhet Agr Univ, Dept Agr Finance
  \& Banking, Sylhet 3100, Bangladesh.

  Alamgir, Md. Shah; Ahmed, Md. Rashid, Sylhet Agr Univ, Dept Agr Finance \& Banking,
  Sylhet 3100, Bangladesh.

  Furuya, Jun; Kobayashi, Shintaro, Japan Int Res Ctr Agr Sci, Social Sci Div, Tsukuba,
  Ibaraki 3058686, Japan.

  Mostafiz, Rubaiya Binte, Univ Tsukuba, Grad Sch Life \& Environm Sci, Tsukuba, Ibaraki
  3058572, Japan.'
author: Alamgir, Md. Shah and Furuya, Jun and Kobayashi, Shintaro and Mostafiz, Rubaiya
  Binte and Ahmed, Md. Rashid
author-email: salamgir.afb@sau.ac.bd
author_list:
- family: Alamgir
  given: Md. Shah
- family: Furuya
  given: Jun
- family: Kobayashi
  given: Shintaro
- family: Mostafiz
  given: Rubaiya Binte
- family: Ahmed
  given: Md. Rashid
da: '2023-09-28'
doi: 10.1007/s10708-020-10231-2
earlyaccessdate: MAY 2020
eissn: 1572-9893
files: []
issn: 0343-2521
journal: GEOJOURNAL
keywords: Farm income; Inequality; Poverty; Climate change
keywords-plus: LEVEL ADAPTATION; RICE YIELD
language: English
month: DEC
number: '6'
number-of-cited-references: '68'
orcid-numbers: '/0000-0001-5400-3424

  Alamgir, Md. Shah/0000-0003-4494-2801'
pages: 2861-2885
papis_id: f9916af6fbccfd1519426ce661e90842
ref: Alamgir2021farmincome
researcherid-numbers: '古家, 淳/GPC-5902-2022

  '
times-cited: '10'
title: 'Farm income, inequality, and poverty among farm families of a flood-prone
  area in Bangladesh: climate change vulnerability assessment'
type: Article
unique-id: WOS:000554765700001
usage-count-last-180-days: '4'
usage-count-since-2013: '13'
volume: '86'
web-of-science-categories: Geography
year: '2021'