Grassland types in Tibet Autonomous Region (1988-1994)

The data set contains the grassland types in Tibet from 1988 to 1994. The data were derived from the Tibet Society and Economics Statistical Yearbook and the Tibet Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbook. The table contains 6 fields. Field 1: Year Interpretation: Year of the data Field 2: Grassland types Field 3: Main grassland Field 4: Vegetation Coverage Unit:% Field 5: General fresh grass yield Unit: kg/mu Field 6: Proportion in grassland of the whole region Unit:%

0 2020-05-28

Basic data on natural resources in the Tibetan Autonomous Region (1988-1994)

The data set contains data on the natural resources in Tibet from 1988 to 1994. 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 37 fields. Field 1: Year Field 2: Total surface area of the whole region, unit: 10,000 square kilometres. Field 3: Cultivated land area, unit: 10,000 mu (1 mu=0.0667 hectares) Field 4: Paddy field area, unit: 10,000 mu (1 mu=0.0667 hectares) Field 5: Forest area, unit: 10,000 mu (1 mu=0.0667 hectares) Field 6: Forest coverage proportion, unit: % Field 7: Forest stocks, unit: 100 million cubic metres Field 8: Grassland area, unit: 100 million mu (1 mu=0.0667 hectares) Field 9: Grassland available area, unit: 100 million mu (1 mu=0.0667 hectares) Field 10: Total annual runoff of rivers, unit: 100 million cubic metres. Field 11: Hydraulic resource reserves, unit: 10,000 kilowatt Field 12: Hydraulic potential exploitation amount, unit: 10,000 kilowatt Field 13: Length of the national boundary, unit: kilometres Field 14: Iron mine reserve amount, unit: 100 million tons Field 15: Chromite reserve amount, unit: 10,000 tons Field 16: Copper (ore), unit: 100 million tons Field 17: Borate ore reserve amount, unit: 10,000 tons Field 18: Salt reserve amount, unit: 100 million tons Field 19: Graphite reserve amount, unit: 10,000 tons Field 20: Gypsum reserve amount, unit: 100 million tons Field 21: Coal reserve amount, unit: 10,000 tons Field 22: Peat reserve amount, unit: 10,000 tons Field 23: Geothermal reserve amount, unit: 10,000 cubic metres / day and night Field 24: Species number of national key protected animals Field 25: Species number of class 1 national key protected animals Field 26: Species number of class 2 national key protected animals Field 27: Species number of national key protected plants Field 28: Species number of class 1 national key protected plants Field 29: Species number of class 2 national key protected plants Field 30: Species number of class 3 national key protected plants Field 31: Number of nature reserves Field 32: Number of national nature reserves Field 33: Number of local nature reserves Field 34: Total area of nature reserves, unit: 10,000 mu Field 35: Proportion of nature reserves to the total area of the region Field 36: Annual average precipitation, unit: mm Field 37: Annual sunshine duration, unit: hour

0 2020-05-28

Natural environment and social economic emergy accounting database in typical countries along One Belt One Road (2008-2014)

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.

0 2020-05-28

Per capita GNI of countries along "One Belt and One Road" (1960-2017)

The data set records the per capita GNI s of 1960-2017 countries along 65 countries along the belt and road. GNI per capita is gross national income divided by midyear population. 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 per capita (constant 2010 US$),GNI per capita (constant LCU),GNI per capita (current LCU),GNI per capita growth (annual %).

0 2020-05-27

Per capita electricity consumption of countries along One Belt One Road (1971-2014)

The data set records the per capita electricity consumption of 1971-2014 countries along 65 countries along the belt and road. Data sources: IEA,http://www.iea.org/stats/index.asp.Data on electric power production and consumption are collected from national energy agencies by the International Energy Agency (IEA) and adjusted by the IEA to meet international definitions. Data are reported as net consumption as opposed to gross consumption. Net consumption excludes the energy consumed by the generating units. For all countries except the United States, total electric power consumption is equal total net electricity generation plus electricity imports minus electricity exports minus electricity distribution losses.

0 2020-05-27

Great lakes in Central Asia-Basic dataset-social economy-2016

It is summarized that the agricultural and socio-economic status of the five Central Asian countries (Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan and Turkmenistan) in 2016. This data comes from the statistical yearbook of five Central Asian countries, including six elements: total population, cultivated land area, grain production area, GDP, proportion of agricultural GDP to total GDP, proportion of industrial GDP to total GDP, and forest area. Detailed statistics of the six socio-economic elements of the five Central Asian countries. It can be seen from the statistics that there are different emphases among the six elements of the five Central Asian countries. This data provides basic data for the project, facilitates the subsequent analysis of the ecological and social situation in Central Asia, and provides data support for the project data analysis.

0 2020-05-25

GDP time series dataset of countries along the Belt and Road (1960-2017)

The dataset records 1960-2017 years GDP, per capita GDP, GDP growth rate and per capita GDP growth rate of 65 countries along the Belt and Road.Data source:World Bank national accounts data, and OECD National Accounts data files. The dataset contains 9 tables: GDP (constant 2010 US$),GDP (constant LCU),GDP (current LCU),GDP (current US$),GDP per capita (constant LCU),GDP per capita (current LCU),GDP per capita (current US$),GDP growth (annual %),GDP per capita growth (annual %)

0 2020-05-14

Cultivated land dataset of countries along the Belt and Road (1961-2015)

The data set records the Cultivated land of 1961-2015 countries along 65 countries along the Belt and Road. Arable land (in hectares) 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.Data sources: Food and Agriculture Organization, electronic files and web site. The data collected by the Food and Agriculture Organization (FAO) of the United Nations from official national sources through the questionnaire are supplemented with information from official secondary data sources. The secondary sources cover official country data from websites of national ministries, national publications and related country data reported by various international organizations. Data on agricultural land are valuable for conducting studies on a various perspectives concerning agricultural production, food security and for deriving cropping intensity among others uses. Agricultural land indicator, along with land-use indicators, can also elucidate the environmental sustainability of countries' agricultural practices. The dataset contains 3 tables:Arable land (hectares), Arable land(hectares per person), Arable land (% of land area)

0 2020-05-14

Health expenditure of countries along "One Belt and One Road" (2000-2015)

The data set records the health expenditure of 2000-2015 countries along 65 countries along the belt and road. Current expenditures on health per capita in current US dollars. Estimates of current health expenditures include healthcare goods and services consumed during each year.Data sources: World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data set contains 2 tables:Current health expenditure (% of GDP),Current health expenditure (% of GDP)

0 2020-05-14

Gross national expenditure of countries along the Belt and Road (1960-2017)

The data set records the gross national expenditure of 1960-2017 countries along 65 countries along the belt and road. Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital formation (formerly gross domestic investment). Data are in current U.S. dollars. Data sources: World Bank national accounts data, and OECD National Accounts data files. The dataset contains 5 tables:Gross national expenditure (constant 2010 US$),Gross national expenditure (constant LCU),Gross national expenditure (current LCU),Gross national expenditure (current US$),Gross national expenditure (% of GDP).

0 2020-05-14