global_affairs_grants: 66

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id projectNumber dateModified title description status start end countries executingAgencyPartner DACSectors maximumContribution ContributingOrganization expectedResults resultsAchieved aidType collaborationType financeType flowType reportingOrganisation programName selectionMechanism policyMarkers regions alternameImPositions budgets Locations otherIdentifiers participatingOrgs programDataStructure relatedActivities transactions
66 CA-3-A031879001 2025-03-04T06:33:31 Statistical Information Management This project helps to build the institutional capacity of China’s National Bureau of Statistics so that it can provide data relevant to the Millennium Development Goals and other international economic, environmental, and social agreements. The project focuses on measures that increase transparency, accountability, and compliance in data collection and analysis in order to support broader governance priorities. Expected results include an integrated system of household surveys, an improved system for compiling economic data, and a new system of environmental-economic accounts. The project includes visits to China by Canadian experts to facilitate the transfer of knowledge about international and Canadian best practices. The capacity of China's National Bureau of Statistics is enhanced through activities such as training in survey design, methodologies for data collection, business registration, and the review of environmental data. Closed 2005-11-15T00:00:00 2013-04-30T00:00:00 ["China 100.00%"] Statistics Canada ["Statistical capacity building 80.00%", "Environmental policy and administrative management 20.00%"] 13087032.38     Results as of October 2011 include: CIDA’s contribution has led to the development and implementation of an integrated household survey based on international standards. The integrated household survey will produce a range of social statistics including statistics related to poverty, income distribution, and marginalized populations. Prior to this, China had separate rural and urban household surveys, using different methodologies and indicators, which meant that the data was not comparable and was difficult to use. Through the project’s economic statistics component, China’s GDP calculation has improved, bringing it in line with the United Nations’ System of National Accounts, which is the international standard. A unified set of surveys has been developed to measure the impact of different business sectors on the economy, providing accurate data for the use of policy makers, investors, and academics. Through the environmental component, the project assisted the National Bureau of Statistics in developing its first-ever set of environmental accounts, including energy use, air quality and water quality indicators, in line with international standards. In addition, China’s first Environmental Protection Expenditure classification system has been developed, also in line with international standards. These results will provide Chinese policy makers with essential data for evidence-based decisions related to social, economic and environmental issues. Donor country personnel Bilateral Aid grant excluding debt reorganisation   Global Affairs Canada OGM Indo-Pacific Pre-APP ["Gender equality", "Environmental sustainability (cross-cutting)", "Participatory development and good governance", "Trade development", "Biodiversity", "Climate change mitigation", "Climate Change Adaptation", "Urban issues", "Desertification", "Children's issues", "Youth Issues", "Indigenous Issues", "Disability", "ICT as a tool for development"]     ["1450000.00", "3102499.00", "3112499.00", "2732500.00", "2602502.00"] ["39.9075 116.39723"] ["2005000397"] ["Statistics Canada "]     ["13087032.38", "1540.00", "-1540.00", "1551.16", "436.28", "1263.78", "701.83", "91.84", "2100.00", "174.14", "2010.11", "6161.70", "5743.70", "11773.54", "1916.66", "8630.58", "723.60", "1437.92", "547.50", "712.37", "142.30", "193.15", "2965.50", "11971.06", "21266.24", "6488.87", "1749.73", "3599.92", "8330.47", "5778.06", "947.14", "552.26", "1128.26", "-435.98", "4382.43", "-1235.27", "12369.66", "-871.96", "19830.37", "-319.72", "3345.40", "-82.33", "15435.82", "-290.65", "3038.67", "336.28", "3141.04", "4708.02"]