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Chitwan Valley Family Study: Labour Outmigration, Agricultural Productivity and Food Security, Nepal, 2015-2017

Version
v3
Resource Type
Dataset : survey data
Creator
  • Ghimire, Dirgha J.
  • Axinn, William G.
  • Bhandari, Prem B.
  • Bhandari, Humnath
  • Thornton, Rebecca
Other Title
  • LOAF (Alternative Title)
  • Version 3 (Subtitle)
Collective Title
  • Chitwan Valley [Nepal] Family Study Series
Publication Date
2017-04-27
Publication Place
Ann Arbor, Michigan
Publisher
  • Inter-University Consortium for Political and Social Research
Funding Reference
  • Economic and Social Research Council (United Kingdom)
Language
English
Free Keywords
Schema: ICPSR
activities of daily living; agriculture; business expenditures; child care; cleaning; communication; crops; economic behavior; family life; farm workers; farming communities; food security; hobbies; home owners; land distribution; land ownership; livestock; marriage; profits; religion; women; work
Description
  • Abstract

    The Chitwan Valley [Nepal] Family Study: Labor Outmigration, Agricultural Productivity and Food Security is a three year project with the aim to investigate the consequences of labor outmigration on agricultural productivity in a poor agricultural country persistently facing food security problems. This project's data collection is made up of twenty-five datasets: Datasets 1-6: The Household Agriculture and Migration Survey includes information on household agricultural practices and remittances received by the household. Face-to-face interviews were conducted to collect data from household members who previously participated in the Chitwan Valley Family Study (ICPSR 4538). Topics of the survey include crop production and farm technology use, wealth, assets, income, consumption, food security and information about each household member currently away from home. The survey also collected information on gender, ethnicity, and age. Datasets 7-16: Measured yields of major crops grown by farm households that previously participated in the Chitwan Valley Family Study (ICPSR 4538). Dataset 17: A monthly demographic event registry administered to all households that previously participated in the Chitwan Valley Family Study (ICPSR 4538). Datasets 18-23: The Women's Time Use Survey was designed and administered to married, Nepalese women to collect information on changes in their time and involvement in agriculture and other activities. Face-to-face interviews and telephone interviews were conducted to collect data from women who previously participated in the Chitwan Valley Family Study (ICPSR 4538). The collection covered a range of topics including farm work, hygiene, finances, health, and religion. Further, respondents were queried concerning socialization and assisting children and the elderly. Datasets 24-25: The Women's Time Use Survey was designed and administered to married, Nepalese women to collect information on changes in their time and involvement in agriculture and other activities. Face-to-face interviews and telephone interviews were conducted to collect data from women who previously participated in the Chitwan Valley Family Study (ICPSR 4538).
  • Abstract

    The purpose was to investigate the consequences of labour outmigration on agricultural productivity in a poor agricultural country persistently facing food security problems. We aim to answer three high-priority scientific and policy questions: To what extent (a) Does labour outmigration influence (i) agricultural productivity, (ii) women's participation in farming, and (iii) exit from farming? (b) Do remittances influence (i) farm technology use, (ii) women's participation in farming, and (iii) exit from farming? (c) Do farm technology use and exit from farming influence subsequent outmigration? The proposed project aims to better understand the relationship between labour outmigration and agriculture, providing crucial information for scientific and policy development of food security concerns.
  • Methods

    Dataset 1: Using the Chitwan Valley Family Study (CVFS) surveys and national surveys (Demographic Health Survey and Nepal Living Standard Survey), this survey was designed as a 43-minute Household Agriculture and Migration Survey. This survey includes information on household agricultural practices, including crop production and farm technology use, wealth, assets, income, consumption, food security and information about each household member currently away from home, and remittances received by the household. In addition, an Agriculture and Remittance Calendar was designed to collect retrospective data on farming/non-farming status, crop production, land under cultivation, farm technology use, and migration and remittances from 2006 through July 2015 matching with the agricultural production data collection in 2006. This draft survey was pre-tested in 50 households before data collection was launched. The first wave of the survey was administered to 2,255 households residing within 151 CVFS sample neighborhoods July 15, 2015 through December 20, 2015. These data are part of the Labour Outmigration, Agricultural Productivity and Food Security project data collection, which also includes the Women's Time Use Survey data. Households that participated include the women surveyed in the related data collection. Data from additional waves of the Household Agriculture and Migration Survey will be deposited after data collection is completed. Datasets 2-6: Seasonal Agriculture Survey Data from five additional waves of the Household Agriculture and Migration Survey. Dataset 7-16: To create measures of agricultural productivity, the survey measured yields of major crops grown by farm households. The measures were collected across two seasons in 2015-2017 for lentil, maize, mustard, rice and wheat. Dataset 17: A monthly demographic event registry was administered to all households residing within the 151 CVFS sample neighborhoods from March 2015 through January 2017. The registry monitored outmigration, births, deaths, marriages, and other population events. Dataset 18: A merged data file containing all five waves of the Women's Time Use Survey data (Dataset 19-23) was created. Dataset 19-23: A 16 minute Women's Participation in Farming Survey was designed and administered to women from farm households to collect information on changes in their time and involvement in agriculture and other activities. Survey instruments were used from the International Food Policy Research Institute's modules for the Women's Empowerment in Agriculture Index and Nepal Living Standard Survey (NLSS) as a basis for the Women's Participation in Farming Survey. The instrument was pre-tested to 50 women before finalizing survey content. The Women's Time Use Survey instrument was designed in calendar format to assess the number of hours worked in various household (farming and non-farming) activities in the past 24 hours and the number of days worked in each activity in the past month. Datasets 24-25: These data are the restricted-use version of Dataset 1, which only includes the public-use calendar data. The restricted-use contains both the survey and calendar data.
  • Methods

    ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Standardized missing values.; Checked for undocumented or out-of-range codes..
  • Methods

    Response Rates: Dataset 1: 98.20% Dataset 2: 99.70% Dataset 3: 99.20% Dataset 4-6: 99.00% Dataset 7-17: 97.00% Dataset 18: 95.78% (Average of Women's Time Use Survey Data Season 1 through 5) Dataset 19: 98.50% Dataset 20: 95.30% Dataset 21: 94.70% Dataset 22: 95.30% Dataset 23: 95.10% Dataset 24: 98.20% Dataset 25: 98.20%
  • Abstract

    Datasets:

    • DS0: Study-Level Files
    • DS1: Household Agriculture and Migration Survey Public-Use Calendar Data
    • DS2: Seasonal Agriculture Survey Data Season 1
    • DS3: Seasonal Agriculture Survey Data Season 2
    • DS4: Seasonal Agriculture Survey Data Season 3
    • DS5: Seasonal Agriculture Survey Data Season 4
    • DS6: Seasonal Agriculture Survey Data Season 5
    • DS7: Lentil Crop Cutting Survey Data Season 1
    • DS8: Lentil Crop Cutting Survey Data Season 2
    • DS9: Maize Crop Cutting Survey Data Season 1
    • DS10: Maize Crop Cutting Survey Data Season 2
    • DS11: Mustard Crop Cutting Survey Data Season 1
    • DS12: Mustard Crop Cutting Survey Data Season 2
    • DS13: Rice Paddy Crop Cutting Survey Data Season 1
    • DS14: Rice Paddy Crop Cutting Survey Data Season 2
    • DS15: Wheat Crop Cutting Survey Data Season 1
    • DS16: Wheat Crop Cutting Survey Data Season 2
    • DS17: Event Registry Survey Data 2015-2017
    • DS18: Women's Time Use Survey Data Season 1-5
    • DS19: Women's Time Use Survey Data Season 1
    • DS20: Women's Time Use Survey Data Season 2
    • DS21: Women's Time Use Survey Data Season 3
    • DS22: Women's Time Use Survey Data Season 4
    • DS23: Women's Time Use Survey Data Season 5
    • DS24: Household Agriculture and Migration Survey Restricted-Use Calendar Data
    • DS25: Household Agriculture and Migration Survey Restricted-Use Survey Data
Temporal Coverage
  • Time period: 2015-07-15--2015-12-20
  • 2015-07-15 / 2015-12-20
  • Time period: 2016-03-02--2017-02-21
  • 2016-03-02 / 2017-02-21
  • Time period: 2016-01-07--2017-11-01
  • 2016-01-07 / 2017-11-01
  • Time period: 2016-01-12--2017-12-01
  • 2016-01-12 / 2017-12-01
  • Time period: 2016-01-06--2017-05-07
  • 2016-01-06 / 2017-05-07
  • Time period: 2016-03-11--2016-04-03
  • 2016-03-11 / 2016-04-03
  • Time period: 2017-02-28--2017-04-04
  • 2017-02-28 / 2017-04-04
  • Time period: 2016-06-13--2016-08-19
  • 2016-06-13 / 2016-08-19
  • Time period: 2017-06-28--2017-08-10
  • 2017-06-28 / 2017-08-10
  • Time period: 2016-02-03--2016-03-10
  • 2016-02-03 / 2016-03-10
  • Time period: 2017-01-05--2017-03-26
  • 2017-01-05 / 2017-03-26
  • Time period: 2015-10-26--2015-12-03
  • 2015-10-26 / 2015-12-03
  • Time period: 2016-10-20--2016-11-27
  • 2016-10-20 / 2016-11-27
  • Time period: 2016-03-26--2016-04-10
  • 2016-03-26 / 2016-04-10
  • Time period: 2017-03-06--2017-04-10
  • 2017-03-06 / 2017-04-10
  • Time period: 2015-03--2017-01
  • 2015-03 / 2017-01
  • Time period: 2015-08-23--2017-06-21
  • 2015-08-23 / 2017-06-21
  • Time period: 2015-08-23--2015-12-02
  • 2015-08-23 / 2015-12-02
  • Time period: 2016-01-01--2016-05-08
  • 2016-01-01 / 2016-05-08
  • Time period: 2016-05-16--2016-09-22
  • 2016-05-16 / 2016-09-22
  • Time period: 2016-09-25--2017-01-29
  • 2016-09-25 / 2017-01-29
  • Time period: 2017-03-02--2017-06-21
  • 2017-03-02 / 2017-06-21
  • Time period: 2017-02-22--2017-06-21
  • 2017-02-22 / 2017-06-21
  • Time period: 2015-07-15--2015-12-20
  • 2015-07-15 / 2015-12-20
  • Time period: 2015-07-15--2015-12-20
  • 2015-07-15 / 2015-12-20
  • Collection date: 2015-07--2015-12
  • 2015-07 / 2015-12
  • Collection date: 2015-09--2016-01
  • 2015-09 / 2016-01
  • Collection date: 2016-03--2017-02
  • 2016-03 / 2017-02
  • Collection date: 2016-06--2017-07
  • 2016-06 / 2017-07
  • Collection date: 2016-10--2017-02
  • 2016-10 / 2017-02
  • Collection date: 2017-03--2017-07
  • 2017-03 / 2017-07
  • Collection date: 2016
  • Collection date: 2017
  • Collection date: 2016
  • Collection date: 2017
  • Collection date: 2016
  • Collection date: 2017
  • Collection date: 2015
  • Collection date: 2016
  • Collection date: 2016
  • Collection date: 2017
  • Collection date: 2015-03--2017-01
  • 2015-03 / 2017-01
  • Collection date: 2015-08--2017-06
  • 2015-08 / 2017-06
  • Collection date: 2015-08--2015-12
  • 2015-08 / 2015-12
  • Collection date: 2016-01--2016-05
  • 2016-01 / 2016-05
  • Collection date: 2016-05--2016-09
  • 2016-05 / 2016-09
  • Collection date: 2016-09--2017-01
  • 2016-09 / 2017-01
  • Collection date: 2017-03--2017-06
  • 2017-03 / 2017-06
  • Collection date: 2015-07--2015-12
  • 2015-07 / 2015-12
  • Collection date: 2015-07--2015-12
  • 2015-07 / 2015-12
Geographic Coverage
  • Asia
  • Nepal
Sampled Universe
Household Agriculture and Migration Survey Calendar Data: Individuals 18 years and older who are from a farming household. Women's Time Use Survey Data Season 1: Married women, 18 years and older, who are from a farming household. Smallest Geographic Unit: Country
Sampling
Dataset 1: The sample was composed of 2,255 households residing within 151 Chitwan Valley Family Study sample neighborhoods. Dataset 2: The sample was composed of 2,208 households from the Season 1 Agriculture Survey. Dataset 3: The sample was composed of 2,196 households from the Season 2 Agriculture Survey. Dataset 4: The sample was composed of 2,187 households from the Season 3 Agriculture Survey. Dataset 5: The sample was composed of 2,185 households from the Season 4 Agriculture Survey. Dataset 6: The sample was composed of 2,173 households from the Season 5 Agriculture Survey. Dataset 7: The sample was composed of 149 farm households that had measured yields of lentil grown from Season 1 previously participated in the Chitwan Valley Family Study Dataset 8: The sample was composed of 187 farm households that had measured yields of lentil grown from Season 2 that previously participated in the Chitwan Valley Family Study Dataset 9: The sample was composed of 241 farm households that had measured yields of maize grown from Season 1 that previously participated in the Chitwan Valley Family Study Dataset 10: The sample was composed of 217 farm households that had measured yields of maize grown from Season 2 that previously participated in the Chitwan Valley Family Study Dataset 11: The sample was composed of 196 farm households that had measured yields of mustard grown from Season 1 that previously participated in the Chitwan Valley Family Study Dataset 12: The sample was composed of 266 farm households that had measured yields of mustard grown from Season 2 that previously participated in the Chitwan Valley Family Study Dataset 13: The sample was composed of 524 farm households that had measured yields of rice paddy grown from Season 1 that previously participated in the Chitwan Valley Family Study Dataset 14: The sample was composed of 485 farm households that had measured yields of rice paddy grown from Season 2 that previously participated in the Chitwan Valley Family Study Dataset 15: The sample was composed of 114 farm households that had measured yields of wheat crop grown from Season 1 that previously participated in the Chitwan Valley Family Study Dataset 16: The sample was composed of 142 farm households that had measured yields of wheat crop grown from Season 2 that previously participated in the Chitwan Valley Family Study Dataset 17: The sample was composed of a monthly demographic event registry administered to all households that previously participated in the Chitwan Valley Family Study. Dataset 18: The Seasons 1-5 Women's Participation in Farming Survey was administered to 12,105 Nepalese women from farm households who participated in the Chitwan Valley Family Study. Dataset 19: The Season 1 Women's Participation in Farming Survey was administered to 2,421 Nepalese women from farm households who participated in the Chitwan Valley Family Study. Dataset 20: The Season 2 Women's Participation in Farming Survey was administered to 2,279 Nepalese women from farm households who participated in the Chitwan Valley Family Study. Dataset 21: The Season 3 Women's Participation in Farming Survey was administered to 2,223 Nepalese women from farm households who participated in the Chitwan Valley Family Study. Dataset 22: The Season 4 Women's Participation in Farming Survey was administered to 2,215 Nepalese women from farm households who participated in the Chitwan Valley Family Study. Dataset 23: The Season 5 Women's Participation in Farming Survey was administered to 2,212 Nepalese women from farm households who participated in the Chitwan Valley Family Study. Dataset 24: The sample was composed of 2,255 households residing within 151 Chitwan Valley Family Study sample neighborhoods. Dataset 25: The sample was composed of 2,255 households residing within 151 Chitwan Valley Family Study sample neighborhoods.
Collection Mode
  • face-to-face interview
  • telephone interview
Note
2019-11-26 Data and documentation for twenty-one public-use datasets and two-restricted use datasets were added. In addition, Dataset 2 (formerly Women's Time Use Survey Data) has been changed to Dataset 19 (Women's Time Use Survey Data Season 1).2018-05-10 Collection was updated to add online analysis capabilities. Funding institution(s): Economic and Social Research Council (United Kingdom) (ES/L012065/1).
Availability
Delivery
One or more files in this study are not available for download due to special restrictions; consult the study documentation to learn more on how to obtain the data.
Alternative Identifiers
  • 36755 (Type: ICPSR Study Number)
Relations
  • Is new version of
    DOI: 10.3886/ICPSR36755.v2
Publications
  • Acharya, Yubraj, Ghimire, Dirgha J., Bhandari, Prem, Ghimire, Ramesh, Jones, Andrew D.. Household migration and children's diet in Nepal: An exploratory study. BMC Research Notes.2019.
    • ID: 10.1186/s13104-019-4430-x (DOI)
  • Allendorf, Keera, Thornton, Arland, Mitchell, Colter, Young-DeMarco, Linda. The influence of developmental idealism on marital attitudes, expectations, and timing. Journal of Family Issues.2019.
    • ID: 10.1177/0192513X19856642 (DOI)
  • Ghimire, Dirgha, Zhang, Yang, Williams, Nathalie. Husbands' migration: Increased burden on or more autonomy for wives left behind?. Journal of Ethnic and Migration Studies.2019.
    • ID: 10.1080/1369183X.2019.1675502 (DOI)
  • Thornton, Arland, Bhandari, Prem, Swindle, Jeffrey, Williams, Nathalie, Young-DeMarco, Linda, Sun, Cathy, Hughes, Christina. Fatalistic beliefs and migration behaviors: A study of ideational demography in Nepal. Population Research and Policy Review.2019.
    • ID: 10.1007/s11113-019-09551-0 (DOI)
  • Bhandari, Prem, Chaudhary, Indra. A calendar method of collecting remittance use data in a remittance dependent setting of Nepal. Migration and Development.6, (2), 177-197.2017.
    • ID: 10.1080/21632324.2015.1129689 (DOI)
  • Bhandari, Prem, Williams, Nathalie E., Chan, Loritta, Young-DeMarco, Linda, Sun, Cathy. Social exclusion and migration: A case study of caste in Nepal [poster]. annual meetings of the Population Association of America.Chicago, IL. 2017.
  • Bhandari, Prem, Williams, Nathalie E., Chan, Loritta, Young-DeMarco, Linda, Sun, Cathy. Social exclusion and migration: A case study of caste in Nepal. Yale University Center for Research on Inequalities and the Life Course.New Haven, CT. 2017.
  • Kamei, Akito, Chaudhary, Indra. Facilitating Local Nepali Investment Opportunities using Remittance. Institute for Social and Environmental Research-Nepal Policy Brief 10.Bharatpur, Nepal: Institute for Social and Environmental Research-Nepal. 2017.
    • ID: https://loaf.psc.isr.umich.edu/download.php?i=1400455&f=NepalPolicyBrief-10-A4_2017-Kamei.pdf (URL)
  • Kamei, Akito, Ghimire, Rajendra. Labor-Saving Farm Technology in Nepal. Institute for Social and Environmental Research-Nepal Policy Brief 9.Bharatpur, Nepal: Institute for Social and Environmental Research-Nepal. 2017.
    • ID: https://loaf.psc.isr.umich.edu/download.php?i=1399749&f=NepalPolicyBrief-09-Ltr_2017-Kamei.pdf (URL)
  • Thornton, Arland, Bhandari, Prem, Swindle, Jeffrey, Williams, Nathalie E., Young-DeMarco, Linda, Sun, Cathy, Hughes, Christina. Influences of fatalism on migration. annual meetings of the Population Association of America.Chicago, IL. 2017.
  • Bhandari, Prem. Remittance received by households of western Chitwan Valley, Nepal: Does migrant's destination make a difference?. Dhaulagiri Journal of Sociology and Anthropology.10, 2016.
    • ID: 10.3126/dsaj.v10i0.15879 (DOI)
  • Bhandari, Prem, Ghimire, Dirgha. Rural agricultural change and individual out-migration. Rural Sociology.81, (4), 572-600.2016.
    • ID: 10.1111/ruso.12106 (DOI)
  • Williams, Nathalie E., Gray, Clark. Temporal dimensions of weather shocks and migration: A case study of Chitwan Nepal. The Hugo Conference: Environment, Migration, Politics.Liege, Belgium. 2016.
  • Ghimire, Dirgha, Bhandari, Prem. Migration and Later Life Health. Population Association of America 2015 Annual Meeting.San Diego, CA. 2015.
  • Bhandari, Prem. Agricultural Change, Outmigration and Food Security. Workshop on Integrating Social and Agriculture Science: Building the Foundation for Interdisciplinary Research in Nepal.Lalitpur, Nepal. 2014.
    • ID: https://loaf.psc.isr.umich.edu/download.php?i=1389106&f=ISERPresentation2_DrBhandari.pdf (URL)
  • Gauchan, Devendra. Expert Comments on Rural Labor Outmigration and Agriculture Productivity. Workshop on Integrating Social and Agriculture Science: Building the Foundation for Interdisciplinary Research in Nepal.Kathmandu, Nepal. 2014.
    • ID: https://loaf.psc.isr.umich.edu/download.php?i=1389949&f=ExpertPresentation3_DrGauchan.pdf (URL)
  • Ghimire, Dirgha J.. Integrating Social and Agriculture Science: Building the Foundation for Interdisciplinary Research in Nepal. Workshop on Integrating Social and Agriculture Science: Building the Foundation for Interdisciplinary Research in Nepal.Kathmandu, Nepal. 2014.
    • ID: https://loaf.psc.isr.umich.edu/download.php?i=1388772&f=ISERPresentation1_DrGhimire.pdf (URL)
  • Bhandari, Prem B., Ghimire, Dirgha J.. Agricultural Change and Migration in a Rural Agrarian Setting. 2012 Annual Population Association of America Meeting.San Francisco, CA. 2012.
    • ID: https://paa2012.princeton.edu/papers/122068 (URL)

Update Metadata: 2019-11-26 | Issue Number: 2 | Registration Date: 2019-11-26

Ghimire, Dirgha J.; Axinn, William G.; Bhandari, Prem B.; Bhandari, Humnath; Thornton, Rebecca (2017): Chitwan Valley Family Study: Labour Outmigration, Agricultural Productivity and Food Security, Nepal, 2015-2017. Version 3. Chitwan Valley [Nepal] Family Study Series. Version: v3. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR36755.v3