The data set contains time series data on the number and proportion of employees in state-owned enterprises, urban collective-owned enterprises and other types of enterprises in Tibet over time. The data were derived from the Tibet Society and Economics Statistical Yearbook and Tibet Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. The table contains 8 fields. Field 1: Year of the data Field 2: Total number of employees Field 3: Number of employees in state-owned enterprises Field 4: Number of employees in urban collective-owned enterprises Field 5: Number of employees in other types of enterprises Field 6: Proportion of workers employed by state-owned enterprises, unit: % Field 7: Proportion of workers employed by urban collective-owned enterprises, unit: % Field 8: Proportion of workers employed by other types of enterprises, unit: %

0 2019-09-14

This data set contains time series data on rural electronic power, irrigated area, and fertilizer application in Qinghai from 1978 to 2016. The data were derived from the Qinghai Society and Economics Statistical Yearbook and Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. Table 1: The table of rural electronic power, irrigated area, and fertilizer application contains 6 fields. Field 1: Year of the data Field 2: Number of township hydropower stations Field 3: Capacity of township hydropower stations, unit: 10,000 kilowatt Field 4: Electricity consumption in rural areas, unit: 10,000 kW/h Field 5: Fertilizer application amount, unit: ton Field 6: Effective irrigation area, unit: 1000 hectares Table 2: The table of electricity power, telephone, fertilizer and plastic-film application in each county contains 7 fields. Field 1: Districts and counties Field 2: Year Field 3: Total power of agricultural machinery, unit: 10,000 kW Field 4: Year-end local telephone users Field 5: Fertilizer application amount, unit: ton Field 6: Plastic-film application amount, unit: ton Field 7: Electricity consumption in rural areas, unit: 10,000 kW/h

0 2019-09-14

This data set contains information on the energy production and consumption in Qinghai Province from 1990 to 2016. The data were derived from the Qinghai Society and Economics Statistical Yearbook and Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. Table 1: The table of total energy production and its composition contains 6 fields. Field 1: Year Field 2: Total energy production, unit: 10,000 tons of standard coal Field 3: Proportion of raw coal, unit: % Field 4: Proportion of natural gas, unit: % Field 5: Proportion of hydropower, unit: % Field 6: Proportion of crude oil, unit: % Table 2: The table of total energy consumption and its composition contains 6 fields. Field 1: Year Field 2: Total energy consumption, unit: 10,000 tons of standard coal Field 3: Proportion of raw coal, unit: % Field 4: Proportion of crude oil, unit: % Field 5: Proportion of natural gas, unit: % Field 6: Proportion of hydropower, unit: %

0 2019-09-14

This data set contains time series data on the agricultural, forestry, animal husbandry, and fishery output values in Qinghai from 1952 to 2016. The data were derived from the Qinghai Society and Economics Statistical Yearbook and Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. The table contains 8 fields. Field 1: Year of the data Field 2: The total output value of agriculture, forestry, animal husbandry and fishery, unit: 10,000 yuan Field 3: The output value of agriculture, unit: 10,000 yuan Field 4: The output value of forestry, unit: 10,000 yuan Field 5: The output value of animal husbandry, unit: 10,000 yuan Field 6: The output value of the service industry, unit: 10,000 yuan Field 7: The output value of fishery, unit: 10,000 yuan Field 8: The total output value of agriculture, forestry, animal husbandry, fishery and service industry, unit: 10,000 yuan

0 2019-09-14

The data set records the yield data of various crops in Tibet from 1951 to 2016. The data set contains 2 tables: Main crop yields (including 12 fields: year, total grain output, rice, wheat, winter wheat, hulless barley, beans, other, rapeseed, peanuts, vegetables, and green fodder); and The main crop yields of various counties over the years (including 6 fields: year, districts and counties, grain, cereal, beans, rapeseed). The data were derived from the Tibet Society and Economics Statistical Yearbook and the Tibet Statistical Yearbook.

0 2019-09-14

By applying Supply-demand Balance Analysis, the water resource supply and demand of the whole river basin and each county or district were calculated, on which basis the vulnerability of the water resources system of the basin was evaluated. The IPAT equation was used to set a future water resource demand scenario, setting variables such as future population growth rate, economic growth rate, and unit GDP water consumption to establish the scenario. By taking 2005 as the base year and using assorted forecasting data of population size and economic scale, the future water demand scenarios of various counties and cities from 2010 to 2050 were predicted. By applying the basic structure of the HBV conceptual hydrological model of the Swedish Hydrometeorological Institute, a model of the variation tendency of the basin under climate change was designed. The glacial melting scenario was used as the model input to construct the runoff scenario under climate change. According to the national regulations for the water resources allocation of the basin, a water distribution plan was set up to calculate the water supply comprehensively. Considering the supply and demand situation, the water resource system vulnerability was evaluated by the water shortage rate. By calculating the (grain production) land pressure index of the major counties and cities in the basin, the balance of supply and demand of land resources under the climate change, glacial melt and population growth scenarios was analyzed, and the vulnerability of the agricultural system was evaluated. The Miami formula and HANPP model were used to calculate the human appropriation of net primary biomass and primary biomass in the major counties and cities for the future, and the vulnerability of ecosystems from the perspective of supply and demand balance was assessed.

0 2019-09-14

The data set records the agricultural land of 1961-2015 countries along 65 countries along the belt and road. Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber. Permanent pasture is land used for five or more years for forage, including natural and cultivated crops.Data sources: Food and Agriculture Organization, electronic files and web site. The data set contains 2 tables：Agricultural land (sq. km),Agricultural land (% of land area).

0 2019-09-13

This data set contains the time series data on the total retail sales of consumer goods, total amount of wholesale retail trade, and the total retail sales in the accommodation, catering and other industries. The data were derived from the Qinghai Society and Economics Statistical Yearbook and Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. The table contains 5 fields. Field 1: Year of the data Field 2: Total retail sales of consumer goods, unit: 10,000 yuan Field 3: The total amount of wholesale retail trade, unit: 10,000 yuan Field 4: The total retail sales in the accommodation and catering industries, unit: 10,000 yuan Field 5: The total retail sales of other industries, unit: 10,000 yuan

0 2019-09-13

The data set recorded total output value of Qinghai province over the years. The data were derived from the Qinghai Society and Economics Statistical Yearbook and the Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbook. The data set contains 3 tables: the data of total output value in Qinghai, total production of Qinghai, and total output value of each county in Qinghai. Table 1: The table of total output value in Qinghai contains 8 fields. Field 1: Year Interpretation: Year of the data Field 2: Total output value Interpretation: Total output value Unit: 100,000,000 yuan Field 3: Primary Industry Interpretation: Total output value of primary industry Unit: 100,000,000 yuan Field 4: Secondary Industry Interpretation: Total output value of secondary industry Unit: 100,000,000 yuan Field 5: Industry Interpretation: Total output value of industry Unit: 100,000,000 yuan Field 6: Construction Business Interpretation: Total output value of construction business Unit: 100,000,000 yuan Field 7: Tertiary Industry Interpretation: Total output value of tertiary industry Unit: 100,000,000 yuan Field 8: Per capita total output value Interpretation： Per capita total output value Unit：yuan Table 2: The table of total production of Qinghai contains 7 fields. Field 1: Year Interpretation: Year of the data Field 2: Total production Interpretation: Total production Unit: 100,000,000 yuan Field 3: Primary Industry Interpretation: Total production of primary industry Unit: 100,000,000 yuan Field 4: Secondary Industry Interpretation: Total production of secondary industry Unit: 100,000,000 yuan Field 5: Industry Interpretation: Total production of industry Unit: 100,000,000 yuan Field 6: Construction Business Interpretation: Total production of construction business Unit: 100,000,000 yuan Field 7: Tertiary Industry Interpretation: Total production of tertiary industry Unit: 100,000,000 yuan Table 3: The table of total output value of each county in Qinghai contains 5 fields Field 1: Districts and counties Field 2: Year Field 3: GDP Unit: 10,000 yuan Field 4: Value added of primary industry Unit: 10,000 yuan Field 5: Value added of secondary industry Unit: 10,000 yuan

0 2019-09-13

The data set contains five tables: savings and deposit account balances of urban and rural residents; the per capita income, expenditure and Engel's coefficient for urban residents; the per capita income, expenditure and Engel's coefficient for rural residents; the average salary and index of employees; and the per capita main economic indicators of each county. The data set includes time series data on savings and deposit account balances of urban and rural residents, income, consumption expenditure, food expenditure, and salaries for various types of employees from 1952 to 2016. The data were derived from the Qinghai Society and Economics Statistical Yearbook and Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. Table 1: The table of savings and deposit account balances of urban and rural residents contains 5 fields. Field 1: Year of the data Field 2: Total of savings and deposits Field 3: The savings and deposits of urban residents, unit: 10,000 yuan Field 4: The savings and deposits of farmers and herdsmen, unit: 10,000 yuan Field 5: Per capita savings of urban and rural residents, unit: yuan/person Table 2: The table of per capita income, expenditure and Engel's coefficient for urban residents contains 5 fields. Field 1: Year of the data Field 2: Disposable income, unit: yuan Field 3: Consumption expenditure, unit: yuan Field 4: Food expenditure, unit: yuan Field 5: Engel's coefficient, unit: % Table 3: The table of per capita income, expenditure and Engel's coefficient for rural residents contains 5 fields. Field 1: Year of the data Field 2: Net income, unit: yuan Field 3: Consumption expenditure, unit: yuan Field 4: Food expenditure, unit: yuan Field 5: Engel's coefficient, unit: % Table 4: The table of average salary and index of employees contains 9 fields. Field 1: Year of the data Field 2: Total of average salary, unit: yuan Field 3: Salaries at state-owned institutions, unit: yuan Field 4: Salaries at town-collective institutions, unit: yuan Field 5: Salaries at other institutions, unit: yuan Field 6: Total average salary compared with the previous year, unit: % Field 7: Average salary of state-owned institutions compared with the previous year, unit: % Field 8: Average salary of town-collective institutions compared with the previous year, unit: % Field 9: Average salary of other institutions compared with the previous year, unit: % Table 5: The table of main per capita economic indicators for each county contains 6 fields. Field 1: Districts and counties Field 2: Year Field 3: Savings and deposit account balances of urban and rural residents Field 4: Per capita grain possession, unit: kilogram Field 5: Per capita GDP, unit: yuan Field 6: Per capita local fiscal revenue

0 2019-09-12