Add wos sample results library

02-data/intermediate/wos_sample/7a215139e3b3f4cdfdeed351fcaa3c89-alamgir-md.-shah-an/info.yaml

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+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
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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,
+
+  therefore, recommended that proper management of agricultural farms,
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+  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'