Population, urbanization, GDP and industrial structure forecast scenario data of the Heihe River Basin (Version 1.0) (2010-2050)
  • 2019-09-15
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Taking 2000 as the base year, the future population scenario prediction adopted the Logistic model of population, and it not only can better describe the change pattern of population and biomass but also is 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 industrial structure changing in China and the research area lagged behind the growth of GDP, so it was adjusted according to the need of the future industrial structure scenarios of the research area.

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Statistical yearbook of Xinjiang (2006-2015)
  • 2019-09-15
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Statistical Yearbook of Xinjiang 2006-2015, data from China statistical database: www.shujuku.org.The xinjiang statistical Yearbook system collects the economic and social statistical data of the whole region, regions and counties (cities) from 2006 to 2015. It is an annual publication that comprehensively reflects the economic and social development of xinjiang uygur autonomous region.The Yearbook includes: national economic accounting;Population and employment;Investment in fixed assets;Foreign economic trade and tourism;Resources and environment;Energy;Prices;Agriculture;Industry;The construction industry;Transportation and postal services;Wholesale and retail, accommodation and catering;The financial sector.Education, technology and culture;Statistics on health and environmental conditions.This data source is based on several important sectors of the country and has high credibility. It is the basis for understanding the impact of cryosphere changes on socio-ecology-economy, and also the basis for offering advice on how to deal with adverse changes.

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Data on enterprises above the state-designated scale in the Tibetan Autonomous Region (2000-2016)
  • 2019-09-15
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The data set contains statistics on 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 5 fields. Field 1: Districts and counties Field 2: Year Field 3: Number of industrial enterprises above the state-designated scale Field 4: Total industrial output value of industrial enterprises above the state-designated scale (current price), unit: 10,000 yuan Field 5: Urban completed investment in fixed assets, unit: 10,000 yuan

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Data on workers in primary, secondary, and tertiary industries in Qinghai (1952-2016)
  • 2019-09-15
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The data set contains data on workers in primary, secondary, and tertiary industries in Qinghai over time. 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 number of workers, unit: 10,000 Field 3: Number of workers in primary industries, unit: 10,000 Field 4: Number of workers in secondary industries, unit: 10,000 Field 5: Number of workers in tertiary industries, unit: 10,000 Field 6: Proportion of the primary industry workers, unit: % Field 7: Proportion of the secondary industry workers, unit: % Field 8: Proportion of the tertiary industry workers, unit: %

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Data on rural electronic power, irrigated area, and fertilizer application in the Tibetan Autonomous Region (1992-2016)
  • 2019-09-15
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The data set contains time series data on rural electronic power, irrigated area, and fertilizer application in Tibet from 1992 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. The table contains 7 fields. Field 1: Districts and counties Field 2: Year Field 3: Number of township hydropower stations Field 4: Capacity of township hydropower stations, unit: 10,000 kilowatt Field 5: Electricity consumption in rural areas, unit: 10,000 kW/h Field 6: Fertilizer application amount, unit: ton Field 7: Effective irrigation area, unit: 1000 hectares

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Main per capita social and economic indicators in the Tibetan Autonomous Region (1965-2016)
  • 2019-09-15
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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

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HiWATER: Dataset of investigation on channel flow and socio-economy in the midstream of the Heihe River Basin
  • 2019-09-15
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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.

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The average temperature of main areas in Qinghai Province (1998-2016)
  • 2019-09-15
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The data set includes the average temperature data of main areas in Qinghai Province such as Xining, Haidong, Menyuan, Huangnan, Hainan, Guoluo, Yushu and Haixi from 1998 to 2016. 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 table records the monthly and annual average wind speed in eight regions of Qinghai. Unit: Celsius. The data set is mainly applied in geography and socioeconomic research.

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Gross national income of countries along One Belt One Road (1960-2017)
  • 2019-09-15
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The data set records the gross national income of 1960-2017 countries along 65 countries along the belt and road. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data sources: World Bank national accounts data, and OECD National Accounts data files. The data set contains 5 tables:GNI (constant 2010 US$),GNI (constant LCU),GNI (current LCU),GNI (current US$),GNI growth (annual %).

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Natural environment and social economic emergy accounting database in typical countries along One Belt One Road (2008-2014)
  • 2019-09-15
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This database is based on the theory of emergy analysis for 17 typical countries along the “Belt and Road” during 2008-2014. These countries are include Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan, Turkmenistan, Mongolia, Russia, Pakistan, Bangladesh, Afghanistan, Nepal, Thailand, Myanmar, Ukraine, Moldova, Belarus and Azerbaijan. The basic data sources of this database mainly include detailed information, goods and services on environmental resource flows, natural capital stocks and human production activities. The data in database is calculated and evaluated based on the solar emergy. The database consists of three tables, which are the emergy analysis table of main resource flow, comprehensive emergy analysis table of the main resource category and the system emergy indicators analysis table. The emergy transformities used in this database is updated and calculated according to the emergy baseline (12.0E+24seJ/y) given by Pro. Brown in 2016. Based on the basic data in the database, it can effectively calculate the emergy-based sustainability index system, and give the reasons for the analysis results, the solution and future planning direction for the study country. It is of great significance to the development of the national ecological economic system and provide a scientific basis for the government to improve the sustainable development status of the national ecological economic system.

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