Agricultural Research Management Information System

  • Home
  • Research Summary
    • All
    • Government Organization
      • Agriculture Training Institute, Ishwardi, Pabna
      • Bangabandhu academy for poverty alleviation and rural development (BAPARD)
      • Bangabandhu Sheikh Mujibur Rahman Science & Technology University
      • Bangladesh Bureau of Statistics
      • Bangladesh Institute of Health Sciences
      • Bangladesh Institute of Tropical & Infections Diseases (BITID)
      • Bangladesh Meteorological Department
      • Bangladesh National Herbarium
      • Bangladesh Space Research and Remote Sensing Organization
      • Bangladesh Technical Educational Board
      • Barind Multipurpose Development Authority
      • Central Cattle Breeding Station
      • Department of Agriculture Extension
      • Department of Fisheries
      • Department of Livestock Services
      • Department of Youth Development
      • Dhaka Medical College
      • Geological Survey of Bangladesh
      • Institute of Epidemiology, Disease Control & Research
      • Jatiya Kabi Kazi Nazrul Islam University
      • Khulna Govt. Women College
      • Livestock Training Institute
      • Local Government Engineering Department
      • Ministry of Agriculture
      • Ministry of Environment and forest
      • Ministry of Fisheries and Livestock
      • Ministry of Labour & Employement
      • Ministry of Land
      • Ministry of Public Administration
      • Ministry of Textiles and Jute
      • Ministry of Water Resources
      • Ministry of Youth and Sports
      • National Agricultural Training Academy
      • National institute of preventive and social medicine
      • National Mushroom Development and Extension Centre
      • Pabna University of Science and Technology
      • Seed Certification Agency
      • Shaheed Suhrawardy Medical College
      • Sheikh Hasina University
      • University Grants Commission
      • Youth Training Centre
    • Autonomous/Semi-gov Org
      • Bangladesh Academy for Rural Development
      • Bangladesh Agricultural Development Corporation
      • Bangladesh Atomic Energy Commission
      • Bangladesh Council of Scientific and Industrial Research
      • Bangladesh Fisheries Development Corporation
      • Bangladesh Institute of Development Studies
      • Bangladesh Institute of Management
      • Bangladesh Milk Producers Cooperative Union Limited
      • Bangladesh Water Development Board
      • BIRDEM
      • Center for Environmental and Geographic Information Services
      • Hortex Foundation
      • Institute of Water Modeling
      • National Institute of Biotechnology
      • River Research Institute
      • Rural Development Academy
    • NARS
      • Bangladesh Agricultural Research Council
      • Bangladesh Agricultural Research Institute
      • Bangladesh Fisheries Research Institute
      • Bangladesh Forest Research Institute
      • Bangladesh Institute of Nuclear Agriculture
      • Bangladesh Jute Research Institute
      • Bangladesh Livestock Research Institute
      • Bangladesh Rice Research Institute
      • Bangladesh Sericulture Research and Training Institute
      • Bangladesh Sugarcrop Research Institute
      • Bangladesh Tea Research Institute
      • Bangladesh Wheat and Maize Research Institute
      • Cotton Development Board
      • Soil Resource Development Institute
    • Public University
      • Ahsanullah University of Science and Technology
      • Bangabandhu Sheikh Mujibur Rahman Agricultural University
      • Bangamata Sheikh Fojilatunnesa Mujib Science and Technology University
      • Bangladesh Agricultural University
      • Bangladesh Open University
      • Bangladesh University of Engineering and Technology
      • Bangladesh University of Professionals
      • Bangladesh University of Textiles
      • Barisal Government Veterinary College
      • Begum Rokeya University
      • Chittagong University of Engineering and Technology
      • Chittagong Veterinary and Animal Science University
      • Comilla University
      • Dhaka University of Engineering & Technology
      • Dinajpur Government Veterinary College, Dinajpur
      • Gono Bishwabidyalay
      • Hajee Mohammad Danesh Science and Technology University
      • Islamic University, Kushtia
      • Jagannath University
      • Jahangirnagar University
      • Jessore University of Science and Technology
      • Jhenaidha Government Veterinary College
      • Khulna Agricultural University
      • Khulna University
      • Khulna University of Engineering & Technology
      • Mawlana Bhashani Science and Technology University
      • Millitary Institute of Science and Technology
      • National University
      • Noakhali Science and Technology University
      • Patuakhali Science and Technology University
      • Rajshahi University of Engineering and Technology
      • Shahjalal University of Science & Technology
      • Sher-e-Bangla Agricultural University
      • Sylhet Agricultural University
      • Sylhet Government Veterinary College
      • University of Barisal
      • University of Chittagong
      • University of Dhaka
      • University of Rajshahi
    • Private University
      • Asian University of Bangladesh
      • Atish Dipankar University of Science and Technology
      • BGC Trust University Bangladesh
      • BGMEA University of Fashion & Technology (BUFT)
      • BRAC University
      • City University
      • Daffodil International University
      • East West University
      • Exim Bank Agricultural University
      • Gana Bishwabiddalaya
      • Hamdard University
      • Independent University, Bangladesh
      • International Islamic University Chittagong
      • International University of Business Agriculture and Technology
      • Islamic University of Technology
      • Leading University, Sylhet
      • North South University
      • Premier University
      • Primeasia University
      • Private University
      • SOAS, University of London
      • Southeast University
      • Stamford University
      • State University of Bangladesh
      • The Millenium University
      • University of Asia Pacific
      • University of Development Alternative
      • University of Information Technology and Sciences
      • University of Liberal Arts Bangladesh
      • University of Science and Technology, Chittagong
      • World University
    • INGO/IO/NGO/Private Org
      • ACI Limited
      • Agricultural Advisory Society (AAS)
      • Apex Organic Industries Limited
      • Arannayk Foundation
      • Bangladesh Academy of Sciences
      • Bangladesh Centre for Advanced Studies
      • Bangladesh Institute of Social Research
      • Bangladesh Science Foundation
      • Bangladesh Unnayan Parishad
      • BAPA
      • BRAC
      • CARE Bangladesh
      • CARITAS
      • Centre for Environmental Geographical Information System
      • Centre for Policy Dialogue (CPD)
      • Creative Conservation Alliance
      • Dhaka Ahsania Mission
      • Dwip Unnayan Sangstha
      • EMBASSY OF DENMARK, BANGLADESH
      • Energypac Limited Bangladesh
      • FAO- Bangladesh
      • FIVDB
      • ICDDRB, Mohakhali, Dhaka-1212
      • iDE Bangladesh
      • Innovision Consulting Private Ltd.
      • International Center for Climate Change and Development
      • International Centre for Integrated Mountain Development
      • International Development Research Centre
      • International Fertilizer Development Center, Bangladesh
      • International Food Policy Research Institute
      • International Maize and Wheat Improvement Centre
      • International Potato Center
      • IRRI- Bangladesh
      • IRRI-Philippines
      • Ispahani Agro LTD
      • IUCN, Bangladesh
      • Krishi Gobeshina Foundation
      • Lal Teer
      • Mennonite Central Committee
      • Metal (Pvt.) Ltd
      • Modern Herbal Group
      • Palli Karma-Sahayak Foundation
      • Practical Action Bangladesh
      • Proshika
      • RDRS Bangladesh
      • RIRI-Philippines
      • Rothamsted Research
      • SAARC Agricultural Centre
      • SAARC Meteorological Research Centre
      • Social Upliftment Society
      • South Asia Enterprise Development Facility
      • Square Pharmaceuticals Ltd.
      • Supreme Seed
      • Transparency International Bangladesh
      • Unnayan Onneshan
      • USAID
      • Water Resources Planning Organization
      • Winrock International
      • World Bank
      • World Food Program
      • World Vegetable Center
      • WorldFish Centre, Bangladesh
    • Foreign University
      • Asian Institute of Technology
      • Auckland University of Technology
      • Australian National University
      • Bidhan Chandra Krishi Viswavidyalaya
      • BOKU-University of Natural Resources and Applied Life Sciences
      • Cranfield University
      • Curtin University
      • Foreign University/ Institute
      • Hiroshima University
      • Hokkaido University
      • Huazhong Agricultural University
      • International Islamic University, Malaysia
      • Kagawa University
      • Kangwon National University
      • Kochi University
      • Kyoto University
      • Kyushu University
      • Ladoke Akintola University of Technology
      • Murdoch University
      • Nagoya University
      • NOAA-CREST, CCNY
      • Royal Veterinary and Agricultural University
      • San Diego State University
      • Shinshu University
      • Tottori University
      • United Nations University
      • University Malaysia Kelantan
      • University Malaysia Pahang
      • University Nova de Lisboa
      • University of Alberta
      • University of Bremen
      • University of Bremen
      • University of Calgary
      • University of california
      • University of Greenwich
      • University of Hamburg, Hamburg
      • University of Hannover
      • University of Hawaii
      • University of Helsinki, Finland
      • University of Kalyani
      • University of Leeds
      • University of Liverpool
      • University of Malaya
      • University of Milan
      • University of New England
      • University of Philippines
      • University of Plymouth
      • University of Queensland
      • University of Reading
      • University of Southampton
      • University of Texas
      • University of the Punjab
      • University of Tokyo
      • University of Toronto
      • University of Wales
      • University of Washington
      • University of Wollongong
      • University Putra Malaysia
      • University Sains Malaysia
  • Search
    • Search by Keyword
    • Search by Organization
    • Search by Program Area
    • Search by Commodity/Non-commodity
    • Search by Funding Source
    • Search by Researcher
    • Custom Search
    • On-going Research
  • About Us
    • ARMIS
    • Brochure
  • Contact Us
    • BARC Personnel
    • ARMIS Personnel
    • Feedback
  • Report
    • All
    • By Organization
      • Bangladesh Agricultural Research Council
      • Bangladesh Agricultural Research Institute
      • Bangladesh Fisheries Research Institute
      • Bangladesh Forest Research Institute
      • Bangladesh Institute of Nuclear Agriculture
      • Bangladesh Jute Research Institute
      • Bangladesh Livestock Research Institute
      • Bangladesh Rice Research Institute
      • Bangladesh Sericulture Research and Training Institute
      • Bangladesh Sugarcrop Research Institute
      • Bangladesh Tea Research Institute
      • Bangladesh Wheat and Maize Research Institute
      • Cotton Development Board
      • Soil Resource Development Institute
    • Research Trend Analysis
  • User Request
  • Data Input
  • Help
    • Operation Manual
      • PDF
      • Video
    • Program Area & Commodity
  • We have reached 37600 number of research entries at this moment.
    • Logout

Research Detail

  1. Home
  2. Research
  3. Detail
M. Hossain
Head of Division
Social Science Division, IRRI, Los Banos, Philippines

M.L. Bose
Consultant
Social Science Division, IRRI, Los Banos, Philippines

A. Chowdhury
Director
Socio-consult, Bangladesh

Semi dwarf modern rice varieties are not suitable for the flood-prone environment. So, a general perception exists that the Green Revolution bypassed this ecosystem, which constitutes about 40% of the rice land in Bangladesh. This paper assesses the changes in agriculture and the economy in the flood-prone ecosystem by analyzing household-level data collected through a sample survey of villages conducted in 1988 and 2000. The findings show that, although farmers still grow mostly traditional varieties during the wet sea- son, the coverage of modern varieties during the dry season when flooding is not a problem has expanded from 43% in 1988 to 80% during 2000. In a large proportion of areas, farmers have abandoned the low-yielding, high-risk traditional rice varieties and shifted to high-yielding modern varieties during the dry season by investing in irrigation through installing shallow tube wells and power pumps. These changes in the cropping pattern have reduced crop. ping intensity from 174% to 143% of cultivated land, but increased the aver- age rice yield by 66% over the 12-year period. Technological progress and the fast increase in rice supply have contributed to a reduction in the unit cost of rice production, an increase in labor productivity, and a much slower increase in rice prices compared to the general cost of living index. These factors have benefited the rural and urban poor more than farm households. The share of rice farming in rural household income is small and declining, however, because of the small average holding size, which has declined from 0.85 to 0.76 ha over the period. The survey estimates a 3.4% annual increase in household income mostly arising from the expansion of nonfarm activities, which now account for 70% of household income compared with 44% in 1988. The incidence of poverty has declined from 65% to 54%, but the improvement in economic conditions has been more pronounced for households earning their livelihood from services and business than for households relying on farming or agricultural labor.

  Ecosystem, Flood-prone environment, Rice
  
  00-00-1987
  00-00-2000
  Risk Management in Agriculture
  Flood

To assess the changes in the livelihood system of the people in the flood-prone ecosystem in Bangladesh over the last decade when Bangladesh experienced a rapid growth in rice production through technological progress.

The benchmark data for the study were drawn from a sample survey conducted in 1987-88 using a multistage random sampling method for the IRRI-sponsored project "Differential Impact of Modern Rice Technology in Favorable and Unfavorable Rice Production Environments" (David and Otsuka 1994). In the first stage, 64 unions, or village clusters, taking one union each from 64 districts of Bangladesh. In the second stage, data on land area, total population, and literacy rates were obtained for all villages of the selected unions from the district reports of the 1981 population census. Two villages were selected purposively for each union such that the population pressure and the literacy rate for the selected villages were similar to those for the selected unions. Thus, 128 villages were selected, with the first choice within each pair being the village most representative of the union. A census of all households in the first-choice village was undertaken to collect information on the ownership of land, adoption of modem rice varieties, and the major source of household income. Where the village community was found to be noncooperative for conducting the survey, the second choice village was included in the sample. Two sites were dropped at this stage because of the problem of logistics for conducting the survey. This nationally representative sample thus consisted of 62 villages from 57 districts. The census of the selected villages enumerated 9,874 households or 159 households per village. These households were used as the sample frame for the final selection of the sample for data gathering on the operation of the household economy. The households were classified into four land ownership groups: (1) functionally landless (up to 0.2 ha ofland), (2) small landowner (0.2 to 1.0 ha), (3) medium landowner (1.0 to 2.0 ha), and (4) large landowner (more than 2.0 ha). Each of the land ownership groups was further classified into two subgroups according to whether the household was engaged in tenancy cultivation or not. Twenty households were then selected from each village using the proportionate random sampling method so that each of the eight (4 x 2) strata was represented according to its weight. The total sample for the 1987 survey consisted of 1,245 households. The selected households were interviewed with a structured questionnaire to gather data on demographic characteristics of all household members, the use of all parcels of land owned and operated by the households, costs and returns of cultivation of major crops, purchase of inputs and marketing of products, ownership of nonland assets, employment of working members and earnings from nonfarm activities, and the perception of the respondent regarding the economic standing of the household in the village and the changes in its economic conditions. The findings from the 1987- 88 survey were published in Hossain et al (1994). A resurvey was conducted covering the financial year 1999-2000 for 16 of the 62 villages that belonged to the flood-prone ecosystem. The villages where more than 50% of the land was reported as being flooded at a depth of more than 50 cm during the peak of the monsoon season were identified as flood-prone. In the resurvey, the sample was drawn using the classification of households by the wealth ranking method rather than that based on land ownership and land tenure as used in the benchmark study. In consultation with the key informants using the participatory rural appraisal (PRA) methodology, the households in the village were classified into four groups: (1) rich, (2) solvent, (3) self-sufficient, and (4) poor. To ensure that all former sample households and their off-shoots were covered in the present survey, we decided to draw a sample of 30 households from the four groups using the stratified random sampling method. New samples were drawn for the cells that were underrepresented by the sample households selected during the 1987-88 survey. The sample consisted of 320 households for 1987-88 and 485 for the 1999-2000 financial year. Household income as measured in the study includes income received in cash as well as in kind. A money value was imputed to receipts in kind at prices prevailing in the survey villages. Household consumption of self-produced crops and their by-products and livestock, fishery, and forestry products is considered as income. The income from crop production activities is estimated as the value of the main product and the by-products net of the costs of seeds, fertilizer, pesticides, irrigation charge, payment of hired labor, and rental cost of draft machine power. Rent paid to the landowner and received from tenants was included in the calculation of income, but the cost of own land was not imputed on the grounds that the value of the land is not depreciated by its use. The interest on working capital employed in the activity was not imputed either and was considered as a cost. Changes in economic activities and socioeconomic conditions were assessed by comparing the mean values of the criterion variables for an average household for the two surveys. A limitation of the study is that it cannot assess the changes in the socioeconomic situation in the flood-prone ecosystem vis-a-vis the favorable irrigated ecosystem that faces no environmental constraints to the adoption of modem technologies .

  Rice research and development in the flood-prone ecosystem. Proceedings of the international workshop on flood-prone rice systems held in Gazipur, Bangladesh, 9-11 January 2001. Los Banos (Philippines): International Rice Research Institute, P. 15-31.
  
Funding Source:
1.   Budget:  
  

Although the availability of land for agricultural production has been declining for rural households, the base of land productivity has increased because of the rapid expansion in the coverage of irrigation and the adoption of modern rice varieties during the dry season. In the wet season, farmers continue to grow traditional rice varieties because modern varieties are unsuitable for the flood-prone environment, but the area under these varieties has declined substantially over time, with farmers growing modern rice varieties during the dry season and leaving the land fallow during the wet season. Nearly 31 % of the land was under the rice-fallow system in 1987- 88, but this increased to 46% in 1999-2000. This led to a significant reduction in cropping intensity. A major change in the livelihood system has been a reduction in the dependence of land-poor households on the agricultural labor market. The proportion of workers reporting agricultural wage employment as the principal occupation was almost halved from 1988 to 2000, as a result of increased employment opportunities available in the rural nonfarm sector. The higher incidence of tenancy and the introduction of mechanized land preparation using power tillers were two other significant changes during the period. Although the increase in yield for individual crop varieties has been moderate, the overall increase in yield in rice cultivation has been substantial because of the reallocation of land from low-yielding aus and deep water aman rice to high-yielding boro rice. The increase in productivity in rice cultivation, however, has not been translated into higher farm income because of the much slower increase in paddy prices compared with the wage rate and fertilizer prices. The nominal wage rate has in- creased almost on a par with the consumer price index, but, because of the slow increase in the nominal price of paddy, the entitlement of staple food for land-poor households has improved substantially. Rice accounts for a small share of household income because of the very small farm size and rice's unfavorable terms of trade. Per capita income has grown at 3.4% per year, entirely because of a rapid expansion of income from nonagricultural sources-trade and business, transport operations, services, and remittances. This transformation from agriculture to a nonfarm-based rural economy has been facilitated by an improvement in human capital and the development of rural infrastructure, particularly rural roads. As a result of the rapid growth in the nonagricultural economy, there has been a moderate improvement in the poverty situation, although in absolute terms the level of poverty remains very high. The improvement has been more pronounced for households that derive income from services and trade as the major source, and only marginal for households engaged in fanning or daily wage earning. This study indicates that improvement in rice technology can make only a limited direct contribution to an increase in household income. The role of research for rice improvement should be seen as increasing rice supplies on a par with demand and reducing the unit cost of production so that the price of this dominant food staple could be kept within affordable limits for the rural and urban poor. Since a large proportion of land in the flood-prone environment remains single- cropped, options to introduce a double-rice cropping system should be explored by developing shorter-duration and cold-tolerant aman and boro rice varieties. The incorporation of cold tolerance in modern boro varieties may allow the early harvesting of boro and incorporation of traditional deep water aman in the cropping system. Areas in which the floodwater recedes early may benefit from the availability of short- duration arnan varieties that could be transplanted in late September and harvested in late December, still allowing time to grow boro rice during the dry season. Since farmers keep the seed from their own harvest for the large number of traditional aman varieties grown during the wet season, some yield gains could be made and biodiversity preserved from pure-line selections of the popular varieties and their distribution through the seed market.

  Report/Proceedings
  


Copyright © 2025. Bangladesh Agricultural Research Council.