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Comprehensive Food Security and Vulnerability Analysis 2010

China, 2010
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Reference ID
CHN_2010_CFSVA_v01_M
Producer(s)
World Food Programme
Metadata
DDI/XML JSON
Created on
Apr 07, 2014
Last modified
Mar 29, 2019
Page views
26566
Downloads
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    CHN_2010_CFSVA_v01_M

    Title

    Comprehensive Food Security and Vulnerability Analysis 2010

    Country
    Name Country code
    China CHN
    Study type

    Other Household Survey [hh/oth]

    Series Information

    The CFSVA process generates a document that describes the food security status of various segments of a population over various parts of a country or region, analyses the underlying causes of vulnerability, and recommends appropriate interventions to deal with the problems. CFSVAs are undertaken in all crisis-prone food-insecure countries. This marks the first time that household food security studies have been conducted in rural China, so the analysis will be an important contributor to the advancement of the field of food security analysis and in the national capacity to identify the populations most vulnerable to hunger.

    Abstract

    According to the Food and Agricultural Organization (FAO) 123 million Chinese remained undernourished in 2003-2005. That represents 14% of the global total. UNICEF states that 7.2 million of the world's stunted children are located in China. In absolute terms, China continues to rank in the top countries carrying the global burden of under-nutrition. China must-and still can reduce under-nutrition, thus contributing even further to the global attainment of MDG1. In this context that the United Nations Joint Programme, in partnership with the Chinese government, has conducted this study. The key objective is to improve evidence of household food security through a baseline study in six pilot counties in rural China. The results will be used to guide policy and programmes aimed at reducing household food insecurity in the most vulnerable populations in China. The study is not meant to be an exhaustive analysis of the food security situation in the country, but to provide a demonstrative example of food assessment tools that may be replicated or scaled up to other places.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis
    • Household
    • Village

    Version

    Version Date

    2012-07-05

    Scope

    Notes
    • HOUSEHOLD: demography, education, migration and remittances, housing and facilities, household assets, agricultural, income activities, expenditure, food sources and consumption, shocks and coping strategies.
    • VILLAGE: population of the village, migrants, access to social services such as education and health, infrastructure, access to markets, difficulties facing the village, information on local agricultural practices.

    Coverage

    Geographic Coverage

    Six rural counties

    Universe

    The survey covered household heads and women between 15-49 years resident of that household. A household is defined as a group of people currently living and eating together "under the same roof" (or in same compound if the household has 2 structures).

    Producers and sponsors

    Primary investigators
    Name Affiliation
    World Food Programme United Nations
    Funding Agency/Sponsor
    Name Role
    Spanish MDG Achievement Fund Joint Programme Financial Support
    Other Identifications/Acknowledgments
    Name Affiliation
    World Health Organization
    United Nations Children's Fund
    Food and Agriculture Organization
    Ministry of Agriculture Government of China
    Ministry of Health Government of China
    Centers for Disease Control and Prevention

    Sampling

    Sampling Procedure

    The required sample size for the survey was calculated using standard sample size calculations with each county representing a stratum. After the sample size was calculated, a two-stage clustering approach was applied. The first stage is the selection of villages using the probability proportional to size (PPS) method to create a self-weighted sample in which larger population clusters (villages) have a greater chance of selection, proportional to their size. Following the selection of the villages, 12 households within the village were selected using simple random selection.

    Deviations from the Sample Design

    Floods and landslides prevented the team from visiting two of the selected villages, one in Wuding and one in Panxian, so they substituted them with replacement villages.

    Weighting

    Household weights are calculated by population per region.

    Survey instrument

    Questionnaires

    The household questionnaire was administered to all households in the survey and included modules on demography, education, migration and remittances, housing and facilities, household assets, agricultural, income activities, expenditure, food sources and consumption, shocks and coping strategies.

    The objective of the village questionnaire was to gather contextual information on the six counties for descriptive purposes. In each village visited, a focus group discussion took place on topics including: population of the village, migrants, access to social services such as education and health, infrastructure, access to markets, difficulties facing the village, information on local agricultural practices.

    The questionnaires were developed by WFP and Chinese Academy of Agricultural Sciences (CAAS) with inputs from partnering agencies. They were originally formulated in English and then translated into Mandarin. They were pilot tested in the field and corrected as needed. The final interviews were administered in Mandarin with translation provided in the local language when needed.

    All questionnaires and modules are provided as external resources.

    Data collection

    Dates of Data Collection
    Start End
    2010-08-09 2010-09-30
    Data Collectors
    Name Affiliation
    World Food Programme United Nations

    Data processing

    Data Editing

    After data collection, data entry was carried out by CAAS staff in Beijing using EpiData software. The datasets were then exported into SPSS for analysis. Data cleaning was an iterative process throughout the data entry and analysis phases.

    Descriptive analysis, correlation analysis, principle component analysis, cluster analysis and various other forms of analyses were conducted using SPSS.

    Data Access

    Access authority
    Name Affiliation
    World Food Programme United Nations
    Citation requirements

    Use of the dataset must be acknowledged using a citation which would include:

    • the Identification of the Primary Investigator
    • the title of the survey (including acronym and year of implementation)
    • the survey reference number
    • the source and date of download

    Disclaimer and copyrights

    Disclaimer

    The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

    Copyright

    © China Agricultural Science and Technology Press (CAAS)

    Contacts

    Contacts
    Name Affiliation Email URL
    Vulnerability Analysis and Mapping World Food Programme wfp.vaminfo@wfp.org http://www.wfp.org/food-security

    Metadata production

    DDI Document ID

    DDI_CHN_2010_CFSVA_v01_M

    Producers
    Name Affiliation Role
    Souleika Abdillahi WFP Data Archivist
    Date of Metadata Production

    2012-07-05

    Metadata version

    DDI Document version

    Version 1 (July 2012) The original ID number for the study on WFP is "DDI-CHN-WFP-CFSVA-2010-v1.0".

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