Main per capita social and economic indicators in the Tibetan Autonomous Region (1965-2016)

The data set describes the per capita main economic indicators in Tibet from 1965 to 2016, including time series data on the regional GDP, gross agricultural output value, gross industrial output value, grain production, total retail sales of consumer goods, savings account balances, per capita net income of farmers and herdsmen, and per capita net income of employees in the district. 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. Table 1: The table of the main per capita economic indicators contains 9 fields. Field 1: Year of the data Field 2: Regional GDP, unit: yuan Field 3: Gross agricultural output value, unit: yuan Field 4: Gross industrial output, unit: yuan Field 5: Grain production, unit: kilograms Field 6: Total retail sales of consumer goods, unit: yuan Field 7: Savings account balance, unit: yuan Field 8: Per capita net income of farmers and herdsmen, unit: yuan Field 9: Per capita net income of employees in the district, unit: yuan Table 2: The table of per capita indicators in each county contains 6 fields. Field 1: Districts and counties Field 2: Year of the data Field 3: Per capita grain possession, unit: kilograms Field 4: Per capita GDP, unit: yuan Field 5: Per capita local fiscal revenue, unit: yuan Field 6: Savings account balance of urban and rural residents, unit: 10,000 yuan

0 2019-09-15

HiWATER: Dataset of investigation on channel flow and socio-economy in the midstream of the Heihe River Basin

The dataset includes two parts that are: 1) channel flow, crop pattern, field management, and socio-economy data measured at super-station in 2008, 2010, 2011, 2012 (UTC+8), respectively. 2) irrigation data, crop pattern, and socio-economy data investigated at Daman irrigation district and Yingke irrigation district, respectively. 1.1 Objective of investigation Objectives of investigation for two parts data are to obtain crop pattern and irrigation water volume change with time, and to supply parameter for irrigation water optimal allocation model. 1.2 Investigation spots and items Investigation spots include six water management stations that are Dangzhai, Hua’er, Daman, Xiaoman, Jiantan, and Ershilidun, respectively, at Daman irrigation district. Investigation items comprise water allocation time, branch channel inflow, Dou channel inflow, irrigation area, channel water use efficiency, water price, and water fee. Investigation time is described as followed: 2012.03.16 to 2012.04.04, Spring irrigation; 2012.04.04 to 2012.05.14, Summer irrigation; 2012.05.20 to 2012.06.24, Summer irrigation; 2012.05.16 to 2012.07.06, Summer irrigation; 2012.07.15 to 2012.08.02, Autumn irrigation; 2012.08.10 to 2012.08.26, Autumn irrigation. Investigation spots include eight water management station that are Chang’an, Shangqin, Dangzhai, Liangjiadun, Shimiao, Xiaoman, Xindun, and Yangou, respectively, at Yingke irrigation district. Investigation time and items is described as followed: Year Data items Spots 2008, 2010, 2011 Irrigation data: Irrigation time, water level of Dou channel, channel flow, irrigation area Xiaoman county, Shangtouzha village 2012 Irrigation data: Irrigation time, water level of Dou channel, channel flow, irrigation area Chang’an, Shangqin, Dangzhai, Liangjiadun, Shimiao, Xiaoman, Xindun, Yangou 2012 Well data: Well deep, groundwater abstraction, irrigation area Chang’an, Liangjiadun, Shangqin 2012 Socio-economy data: population, agricultural income, un-agricultural income, water use for living, average residential area, education Chang’an, Xiaoman, Liangjiadun, Shangqin 2012 Field management: fertilizer name, fertilization time, fertilization rate, pesticide name, pesticide rate, time Chang’an, Xiaoman, Liangjiadun, Shangqin 2008, 2010, 2011, 2012 Crop pattern: crop name, seed time, harvest time, crop area, irrigation quota, field water use efficiency, crop yield, crop production value Xiaoman, Chang’an, Liangjiadun, Shangqin 1.3 Data collection Data was collected by cooperating with water management department of Yingke and Daman.

0 2019-09-15

Railway, highway and civil aviation mileage Statistics of Qinghai (1952-2016)

The data set records the mileage of railways, highways and civil aviation in Qinghai from 1952 to 2015. 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 table contains 12 fields. Field 1: Year Interpretation: Year of the data Field 2: Mileage of railway in use Unit: kilometers Field 3: Railway routes density Unit: kilometers / 10,000 square kilometers Field 4: Highway traffic mileage Unit: kilometers Field 5: Highway routes density Unit: kilometers Field 6: Mileage of Highway with pavements Unit: kilometers Field 7: High graded highway, Sub-high graded highway Unit: kilometers Field 8: Total highway grades Unit: kilometers Field 9: Highway High Speed Unit: kilometers Field 10: Grade one and two highway Unit: kilometers Field 11: Roads without grades Unit: kilometers Field 12: Civil Aviation Mileage Unit: kilometers

0 2019-09-15

Population, urbanization, GDP and industrial structure forecast scenario data of the Yerqiang River Basin (Version 1.0) (2010-2050)

Taking 2005 as the base year, the future population scenario prediction adopted the Logistic model of population; not only is it better able to describe the change pattern of population and biomass, but it is also widely applied in the economic field. The urbanization rate was predicted using the urbanization Logistic model. Based on the existing urbanization horizontal sequence value, the prediction model was established by acquiring the parameters in the parametric equation applying nonlinear regression. The urban population was calculated by multiplying the predicted population by the urbanization rate. The Logistic model was used to predict the future gross national product of each county (or city), and then according to the economic development level of each county (or city) in each period (in terms of real GDP per capita), the corresponding industrial structure scenarios in each period were set, and the output value of each industry was predicted. The trend of changing industrial structure in China and the research area lagged behind the growth of GDP and was therefore adjusted according to the need of the future industrial structure scenarios of the research area.

0 2019-09-15

The GDP time series dataset at county level on the Tibetan Plateau (1970-2006)

The data set mainly recorded the series data of GDP, gross industrial output, and gross agricultural output in major cities and counties of the Tibetan Plateau from 1970 to 2006. It is used to study social and economic changes on the Tibetan Plateau. The table has ten fields. Field 1: Year Interpretation: Year of the data Field 2: Province Interpretation: The province from which the data were obtained Field 3: City/Prefecture Interpretation: The city or prefecture from which the data were obtained Field 4: County Interpretation: The name of the county Field 5: GDP (10,000 yuan) Interpretation: Gross domestic product Field 6: Gross Industrial and Agricultural Output (10,000 Yuan) Interpretation: Gross Industrial and Agricultural Output Field 7: Gross Agricultural Output (10,000 Yuan) Interpretation: Gross Agricultural Output Field 8: Gross Industrial Output (10,000 Yuan) Interpretation: Gross Industrial Output Field 9: Data Sources Interpretation: Source of Data Extraction Field 10: Remarks Interpretation: Calculation method of gross out value and description of constant prices The data comes from the statistical yearbook and county annals. Some are listed as follows. [1] Gansu Yearbook Editorial Committee. Gansu Yearbook [J]. Beijing: China Statistics Press, 1984, 1988-2009 [2] Statistical Bureau of Yunnan Province. Yunnan Statistical Yearbook [J]. Beijing: China Statistics Press, 1988-2009 [3] Statistical Bureau of Sichuan Province, Sichuan Survey Team. Sichuan Statistical Yearbook [J]. Beijing: China Statistics Press, 1987-1991, 1996-2009 [4] Statistical Bureau of Xinjiang Uighur Autonomous Region . Xinjiang Statistical Yearbook [J]. Beijing: China Statistics Press, 1989-1996, 1998-2009 [5] Statistical Bureau of Tibetan Autonomous Region. Tibet Statistical Yearbook [J]. Beijing: China Statistics Press, 1986-2009 [6] Statistical Bureau of Qinghai Province. Qinghai Statistical Yearbook [J]. Beijing: China Statistics Press, 1986-1994, 1996-2008. [7] County Annals Editorial Committee of Huzhu Tu Autonomous County. County Annals of Huzhu Tu Autonomous County [J]. Qinghai: Qinghai People's Publishing House, 1993 [8] Haiyan County Annals Editorial Committee. Haiyan County Annals[J]. Gansu: Gansu Cultural Publishing House, 1994 [9] Menyuan County Annals Editorial Committee. Menyuan County Annals[J]. Gansu: Gansu People's Publishing House, 1993 [10] Guinan County Annals Editorial Committee. Guinan County Annals [J]. Shanxi: Shanxi People's Publishing House, 1996 [11] Guide County Annals Editorial Committee. Guide County Annals[J]. Shanxi: Shanxi People's Publishing House, 1995 [12] Jianzha County Annals Editorial Committee. Jianzha County Annals [J]. Gansu: Gansu People's Publishing House, 2003 [13] Dari County Annals Editorial Committee. Dari County Annals [J]. Shanxi: Shanxi People's Publishing House, 1993 [14] Golmud City Annals Editorial Committee. Golmud City Annals [J]. Beijing: Fangzhi Publishing House, 2005 [15] Delingha City Annals Editorial Committee. Delingha City Annals [J]. Beijing: Fangzhi Publishing House, 2004 [16] Tianjun County Annals Editorial Committee. Tianjun County Annals [J]. Gansu: Gansu Cultural Publishing House, 1995 [17] Naidong County Annals Editorial Committee. Naidong County Annals [J]. Beijing: China Tibetology Press, 2006 [18] Gulang County Annals Editorial Committee. Gulang County Annals [J]. Gansu: Gansu People's Publishing House, 1996 [19] County Annals Editorial Committee of Akesai Kazak Autonomous County. County Annals of Akesai Kazakh Autonomous County [J]. Gansu: Gansu People's Publishing House, 1993 [20] Minxian County Annals Editorial Committee. Minxian County Annals [J]. Gansu: Gansu People's Publishing House, 1995 [21] Dangchang County Annals Editorial Committee. Dangchang County Annals [J]. Gansu: Gansu Cultural Publishing House, 1995 [22] Dangchang County Annals Editorial Committee. Dangchang County Annals(Sequel) (1985-2005) [J]. Gansu: Gansu Cultural Publishing House, 2006 [23] Wenxian County Annals Editorial Committee. Wenxian County Annals[J]. Gansu: Gansu Cultural Publishing House, 1997 [24] Kangle County Annals Editorial Committee. Kangle County Annals [J]. Shanghai: Sanlian Bookstore. 1995 [25] County Annals Editorial Committee of Jishishan (Baoan, Dongxiang, Sala) Autonomous County. County Annals of Jishishan (Baoan, Dongxiang, Sala) Autonomous County[J], Gansu: Gansu Cultural Publishing House, 1998 [26] Luqu County Annals Editorial Committee. Luqu County Annals [J]. Gansu: Gansu People's Publishing House, 2006 [27] Zhouqu County Annals Editorial Committee. Zhouqu County Annals [J]. Shanghai: Sanlian Bookstore. 1996 [28] Xiahe County Annals Editorial Committee. Xiahe County Annals [J]. Gansu: Gansu Cultural Publishing House, 1999 [29] Zhuoni County Annals Editorial Committee. Zhuoni County Annals [J]. Gansu: Gansu Nationality Publishing House, 1994 [30] Diebu County Annals Editorial Committee. Diebu County Annals [J]. Gansu: Lanzhou University Press, 1998 [31] Pengxian County Annals Editorial Committee. Pengxian County Annals [J]. Sichuan: Sichuan People's Publishing House, 1989 [32] Guanxian County Annals Editorial Committee. Guanxian County Annals [J]. Sichuan: Sichuan People's Publishing House, 1991 [33] Wenjiang County Annals Editorial Committee. Wenjiang County Annals [J]. Sichuan: Sichuan People's Publishing House, 1990 [34] Shifang County Annals Editorial Committee. Shifang County Annals [J]. Sichuan: Sichuan University Press, 1988 [35] Tianquan County Annals Editorial Committee. Tianquan County Annals [J]. Sichuan: Sichuan Science and Technology Press, 1997 [36] Shimian County Annals Editorial Committee. Shimian County Annals [J]. Sichuan: Sichuan Cishu Publishing House, 1999 [37] Lushan County Annals Editorial Committee. Lushan County Annals [J]. Sichuan: Fangzhi Publishing House, 2000 [38] Hongyuan County Annals Editorial Committee. Hongyuan County Annals [J]. Sichuan: Sichuan People's Publishing House, 1996 [39] Wenchuan County Annals Editorial Committee. Wenchuan County Annals [J]. Sichuan: Bayu Shushe, 2007 [40] Derong County Annals Editorial Committee. Derong County Annals [J]. Sichuan: Sichuan University, 2000 [41] Baiyu County Annals Editorial Committee. Baiyu County Annals [J]. Sichuan: Sichuan University Press, 1996 [42] Batang County Annals Editorial Committee. Batang County Annals [J]. Sichuan: Sichuan Nationality Publishing House, 1993 [43] Jiulong County Annals Editorial Committee. Jiulong County Annals(Sequel) (1986-2000) [J]. Sichuan: Sichuan Science and Technology Press, 2007 [44] County Annals Editorial Committee of Derung-Nu Autonomous County Gongshan. County Annals of Derung-Nu Autonomous County Gongshan [J]. Beijing: Nationality Publishing House, 2006 [45] Lushui County Annals Editorial Committee. Lushui County Annals [J]. Yunnan: Yunnan People's Publishing House, 1995 [46] Deqin County Annals Editorial Committee. Deqin County Annals [J]. Yunnan: Yunnan Nationality Publishing House, 1997 [47] Yutian County Annals Editorial Committee. Yutian County Annals [J]. Xinjiang: Xinjiang People's Publishing House, 2006 [48] Cele County Annals Editorial Committee. Cele County Annals [J]. Xinjiang: Xinjiang People's Publishing House, 2005 [49] Hetian County Annals Editorial Committee. Hetian County Annals [J]. Xinjiang: Xinjiang People's Publishing House, 2006 [50] Qiemo County Local Chronicles Editorial Committee. Qiemo County Annals [J]. Xinjiang: Xinjiang People's Publishing House, 1996 [51] Shache County Annals Editorial Committee. Shache County Annals [J]. Xinjiang: Xinjiang People's Publishing House, 1996 [52] Yecheng County Annals Editorial Committee. Yecheng County Annals [J]. Xinjiang: Xinjiang People's Publishing House, 1999 [53] Akto County Local Chronicles Editorial Committee. Akto County Annals [J]. Xinjiang: Xinjiang People's Publishing House, 1996 [54] Wuqia County Local Chronicles Editorial Committee. Wuqia County Annals [J]. Xinjiang: Xinjiang People's Publishing House, 1995

0 2019-09-15

Import and export trade data for the Tibetan Autonomous Region (1953-2016)

The data set contains time series data on imports and exports in the Tibetan Autonomous Region from 1953 to 2016, which are presented in both CNY and USD. 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 yearbook. The table contains 7 fields. Field 1: Year Field 2: Gross import and export volume (CNY 10,000.00) Field 3: Gross export volume (CNY 10,000.00) Field 4: Gross import volume (CNY 10,000.00) Field 5: Gross import and export volume (USD 10,000.00) Field 6: Gross export volume (USD 10,000.00) Field 7: Gross import volume (USD 10,000.00)

0 2019-09-15

Basic data on fiscal revenue in the Tibetan Autonomous Region (1959-2016)

The data set contains time series data on the local fiscal revenue, state financial subsidy revenue, local fiscal expenditure, and general budget expenditure in the Tibetan Autonomous Region from 1959 to 2016. 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. Table 1: The table of total fiscal revenue, expenditure and related indexes contains 9 fields. Field 1: Year of the data Field 2: Total revenue, unit: 10,000 yuan Field 3: Local fiscal revenue of Tibet, unit: 10,000 yuan Field 4: General budget revenue, unit: 10,000 yuan Field 5: State financial subsidy revenue, unit: 10,000 yuan Field 6: Total fiscal expenditure, unit: 10,000 yuan Field 7: General budget expenditure, unit: 10,000 yuan Field 8: Total revenue index, unit: % Field 9: Total expenditure index, unit: % Table 2: The table of fiscal revenue and expenditure for each county contains 5 fields. Field 1: Districts and counties Field 2: Year Field 3: Local fiscal revenue, unit: 10,000 yuan Field 4: Local general budget fiscal revenue, unit: 10,000 yuan Field 5: Year-end balance of various loans of financial institutions

0 2019-09-15

Population, urbanization, GDP and industrial structure forecast scenario data of the Manasi River Basin (Version 1.0) (2010-2050)

Taking 2005 as the base year, the future population scenario was predicted by adopting the Logistic model of population. It not only can better describe the change pattern of population and biomass but is also widely applied in the economic field. The urbanization rate was predicted by using the urbanization Logistic model. Based on the existing urbanization horizontal sequence value, the prediction model was established by acquiring the parameters in the parametric equation by nonlinear regression. The urban population was calculated by multiplying the predicted population by the urbanization rate. The data adopted the non-agricultural population. The Logistic model was used to predict the future gross national product of each county (or city), and then, according to the economic development level of each county (or city) in each period (in terms of GDP per capita),the corresponding industrial structure scenarios in each period were set, and the output value of each industry was predicted. The trend of changes in industrial structure in China and the research area lagged behind the growth of GDP and was therefore adjusted according to the need of the future industrial structure scenarios of the research area.

0 2019-09-15

Sheep stock at the end of the year (2000,2005,2010)

The data include the data of sheep stock at the end of the year of Tibetan Plateau . The spatial area is divided by counties on the Tibetan Plateau. The time resolution is 5 years, and the time coverage is 2000, 2005, 2010.This data is obtained through statistics and collection of relevant literature, historical database records and other materials, and other data are acquired through purchase.The data can be used to analyze the agricultural production and meat price changes of each county on the Tibetan Plateau. In addition, the development differences of each county on the Tibetan Plateau can also be analyzed by comparing the data of the counties.

0 2019-09-15

Planting area of main crops in the Tibetan Autonomous Region (1951-2016)

The data set contains two tables: the table of crop planting area and the table of crop planting area in counties over time. These tables present the statistics of the planting area of various crops and the planting areas in counties in Tibet from 1951 to 2016. 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. Table 1: The table of crop planting area contains 14 fields. Field 1: Year of the data Field 2: The total crop planting area, unit: 1000 hectares Field 3: Grain crop planting area, unit: 1000 hectares Field 4: Hulless barley planting area, unit: 1000 hectares Field 5: Wheat planting area, unit: 1000 hectares Field 6: Winter wheat planting area, unit: 1000 hectares Field 7: Legume planting area, unit: 1000 hectares Field 8: Root and tuber crop planting area, unit: 1000 hectares Field 9: Oil crop planting area, unit: 1000 hectares Field 10: Rapeseed planting area, unit: 1000 hectares Field 11: Peanut planting area, unit: 1000 hectares Field 12: Other crop planting area, unit: 1000 hectares Field 13: Vegetable planting area, unit: 1000 hectares Field 14: Silage crop planting area, unit: 1000 hectares Table 2: The table of crop planting area in each county over time contains 7 fields. Field 1: Year of the data Field 2: Districts and counties included in the data Field 3: Crop planting area, unit: 1000 hectares Field 4: Grain crop planting area, unit: 1000 hectares Field 5: Grain planting area, unit: 1000 hectares Field 6: Legume planting area, unit: 1000 hectares Field 7: Oil crop planting area, unit: 1000 hectares

0 2019-09-15