出版物

Displaying 7 records

Copy all 7 citations

Dataset

China Wheat Producer Survey

2019International Food Policy Research Institute

Details

China Wheat Producer Survey

China wheat wholesaler survey is the study of the wholesalers in the wheat value chain in the province of Henan. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. China Wheat Producer Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/TP4IBX. Harvard Dataverse. Version 1.

Country/Region

China

Keywords

Asia; Eastern Asia; Value Chains; Harvesting Losses; Losses; Processing Losses; Marketing; Yield Losses; Wholesale Marketing; Wheat; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/tp4ibx Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

China Wheat Wholesaler Survey

2019International Food Policy Research Institute

Details

China Wheat Wholesaler Survey

China Wheat Producer Survey is the study of the producers in the wheat value chain in the province of Henan. These data allow quantifying the extent of food loss in the producer level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. China Wheat Wholesaler Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/SBGYHO. Harvard Dataverse. Version 1.

Country/Region

China

Keywords

Asia; Eastern Asia; Value Chains; Harvesting Losses; Losses; Processing Losses; Marketing; Yield Losses; Wheat; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/sbgyho Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

China Wheat Middlemen Survey

2019International Food Policy Research Institute

Details

China Wheat Middlemen Survey

China wheat middlemen survey is the study of Chinese middlemen in the wheat value chain in the province of Hena. These data allow us to quantify the extent of food loss in the middlemen level using consistent approaches that are comparable across commodities and regions. They also enable us to characterize the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. China Wheat Middlemen Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/JTUFRX. Harvard Dataverse. Version 1.

Country/Region

China

Keywords

Asia; Eastern Asia; Value Chains; Harvesting Losses; Losses; Processing Losses; Marketing; Yield Losses; Wheat; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/jtufrx Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

The Pest Severity, Insecticide Application, and Land Use Data for 51 Counties in China, 1991-2015

2018International Food Policy Research Institute; Chinese Academy of Agricultural Sciences; Ministry of Agriculture and Rural Affairs, Government of China; Chinese Academy of Sciences

Details

The Pest Severity, Insecticide Application, and Land Use Data for 51 Counties in China, 1991-2015

This is a compiled unique long-term panel dataset that consists of data on (i) pest severity and insecticide applications per annum per county by pest species, and (ii) land cover/use data. The counties in the database are the 51 most important cotton-growing counties, by production, in the Yangtze River valley and Yellow River valley cotton production regions, while the data covered the years 1991–2015, with complete coverage of counties in all years when cotton was cultivated. Between 2011 and 2013, eight counties in our sample stopped cultivating cotton. The number increased to 11 and 12 counties in 2014 and 2015, respectively, resulting in 47 missing records. The national cotton pests monitoring network, maintained by the Ministry of Agriculture mandates the main cotton-producing counties to collect yearly data on pest infestation levels and insecticide applications for key cotton pests following national standardized monitoring and categorization methods. Tailored scouting methods were used for different pests. In each county, 10–20 fields were selected for pest monitoring in each year. Insect populations were recorded every 3–10 days from early June to late August each year, and the seasonal average abundance across the surveyed fields were used for scoring using a five-point scale of levels I–V. Data on the number of insecticide applications targeted at specific pests were collected by interviewing farmers at each scouting to estimate yearly pest-specific total number of sprays for each county. While the detailed data collection methods and protocols should inspire confidence in the data, the reliability of the pest level data depends on the accuracy, knowledge, and honesty of the respondents, as is the case with any non–first-hand data. County-level land use data were drawn from a national land cover/use database developed by the Chinese Academy of Sciences, using satellite remote-sensing data from the Landsat Thematic Mapper/Enhanced Thematic Mapper images. The database offers the most comprehensive coverage of China’s land use/cover and has been used in a number of published studies. The land use data for 6 years (1990-2015) at 5 years interval were extracted. The proportional area for each six main land use classes as well as the Shannon index for land use diversity for each county for six years was computed. Land use proportions in the intermediate years (e.g., 1991, 1992, 1993, 1994, 1996, etc.) were calculated by linear interpolation between the data.

Year published

2018

Authors

International Food Policy Research Institute; Chinese Academy of Agricultural Sciences; Ministry of Agriculture and Rural Affairs, Government of China; Chinese Academy of Sciences

Citation

International Food Policy Research Institute; Chinese Academy of Agricultural Sciences; Ministry of Agriculture and Rural Affairs, Government of China; Chinese Academy of Sciences. 2018. The Pest Severity, Insecticide Application, and Land Use Data for 51 Counties in China, 1991-2015. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/QVBQQQ. Harvard Dataverse. Version 1.

Country/Region

China

Keywords

Asia; Eastern Asia; Integrated Pest Management; Cotton; Pest Management; Technology; Land Use; Weather; Insecticides; Pest Insects; Climate Change

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/qvbqqq Source record

Record type

Dataset

A 2007 Social Accounting Matrix for China

2013Zhang, Yumei; Diao, Xinshen

Details

A 2007 Social Accounting Matrix for China

This paper documents a 2007 Social Accounting Matrix (SAM) for China. This SAM was constructed for the China CGE model to assess the impact of the 2008-09 global recession shocks and the Chinese government's stimulus policy on China's economic growth. The SAM is constructed using data from various sources including an existing input-output table, national accounts, government budgets, balance of payments, commodity exports and imports, labor employment and wage statistics, household expenditure surveys and agricultural production statistics. Cross-entropy estimation techniques are used to balance the SAM. This SAM is a detailed representation of China’s economy in 2007. It covers 61 production activities and commodity sectors, 4 types of factors (low skilled labor, skilled labor, capital, and land), and 2 representative household (rural and urban) groups. The structural characteristics of China’s economy presented in the SAM would be helpful to better understand the economic linkages. And the SAM also provides an ideal tool for economy-wide impact assessments, such as a SAM-based multiplier analysis and computable general equilibrium (CGE) modeling.

Year published

2013

Authors

Zhang, Yumei; Diao, Xinshen

Citation

Zhang, Yumei; Diao, Xinshen. 2013. A 2007 Social Accounting Matrix for China. Washington, DC: International Food Policy Research Institute. http://hdl.handle.net/1902.1/21132. Harvard Dataverse. Version 1.

Country/Region

China

Keywords

Asia; Eastern Asia; Economic Growth; Computable General Equilibrium Models; Social Accounting Matrix

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Record type

Dataset

ASTI China Database

2012Agricultural Science and Technology Indicators

Details

ASTI China Database

This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

Year published

2012

Authors

Agricultural Science and Technology Indicators

Citation

Agricultural Science and Technology Indicators. 2012. ASTI China database. Washington, DC: International Food Policy Research Institute. http://www.asti.cgiar.org/china. Harvard Dataverse. Version 1. https://www.asti.cgiar.org/china

Country/Region

China

Keywords

Asia; Eastern Asia; Agricultural Research

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Record type

Dataset

China, Government Expenditure, Growth, Poverty, and Infrastructure, 1952-2001

2004International Food Policy Research Institute

Details

China, Government Expenditure, Growth, Poverty, and Infrastructure, 1952-2001

This dataset provides information on key economic indicators, agricultural output and inputs, public investments, poverty, and various social indicators in China. Cross-section (29 provinces) and time-series (50 years from 1952 to 2001) data are included in this dataset. The dataset consists of 50 variables altogether, including agricultural and nonagricultural GDP, agricultural labor, agricultural output, agricultural population, arable land, share of rural population with college education, total telecommunication expenditures (rural and urban), draft animals, education expenditures, rural electricity consumption, total expenditures in electricity construction, fertilizer use in pure nutrients, rural illiteracy rate, machinery use, official rural poverty rates, rural education expenditures, agricultural research expenditures, road construction expenditures, rural telephones, etc.

Year published

2004

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2004. China, Government Expenditure, Growth, Poverty, and Infrastructure, 1952-2001. Washington, DC: International Food Policy Research Institute. http://hdl.handle.net/1902.1/17356. Harvard Dataverse. Version 1.

Country/Region

China

Keywords

Asia; Eastern Asia; Expenditure; Social Indicators; Education; Public Investment; Development Indicators; Electricity; Agricultural Population; Labour; Telecommunications; Farm Inputs; Economic Indicators; Gross National Product; Poverty

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Record type

Dataset

Copy all 7 citations

China Wheat Producer Survey

China Wheat Producer Survey

China Wheat Wholesaler Survey

China Wheat Wholesaler Survey

China Wheat Middlemen Survey

China Wheat Middlemen Survey

The Pest Severity, Insecticide Application, and Land Use Data for 51 Counties in China, 1991-2015

The Pest Severity, Insecticide Application, and Land Use Data for 51 Counties in China, 1991-2015

A 2007 Social Accounting Matrix for China

A 2007 Social Accounting Matrix for China

ASTI China Database

ASTI China Database

China, Government Expenditure, Growth, Poverty, and Infrastructure, 1952-2001

China, Government Expenditure, Growth, Poverty, and Infrastructure, 1952-2001

IFPRI总部

关注IFPRI官方微信号

北京办事处

China Wheat Producer Survey

China Wheat Wholesaler Survey

China Wheat Middlemen Survey

The Pest Severity, Insecticide Application, and Land Use Data for 51 Counties in China, 1991-2015

A 2007 Social Accounting Matrix for China

ASTI China Database

China, Government Expenditure, Growth, Poverty, and Infrastructure, 1952-2001

订阅我们的电子通讯

IFPRI总部

关注IFPRI官方微信号

北京办事处