This dataset is about book subjects. It has 7 rows and is filtered where the books is Russia, China and the revisionist assault on the western liberal international order. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Exports to Russia in China decreased to 7584843.61 USD Thousand in February from 9223050.02 USD Thousand in January of 2024. This dataset includes a chart with historical data for China Exports To Russia.

Context

The purpose behind this dataset was, initially, to visualize, compare and understand how emerging economies are developing, both in relation to each other and internally. Since the data provided by The World Bank is very insightful, I've decided to gather it in a standardized and updated format and upload it, so others can also provide us with better analysis and, perhaps, better insights into each country's economies.

Content

This dataset contains 5 files: Economy, EducationAndEnvironment, HealthAndPoverty, PrivateSector and PublicSector data. All files are formatted in the following structure:

SeriesName | SeriesCode | CountryName | CountryCode | Year | Value

Acknowledgements

The data present in this dataset is only possible due to the work and services of https://databank.worldbank.org.

Inspiration

Is it possible to extract some fundamental correlations between emerging economies and their impacts on social welfare? What are the relations between a country's education expenditure and their employment rate? What other aspects of society can we better understand through this data and avoid common pitfalls that have occurred to other countries?

This dataset is about book subjects. It has 6 rows and is filtered where the books is The perilous road to the market : the political economy of reform in Russia, India and China. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

China Exports to Russia was US$115.28 Billion during 2024, according to the United Nations COMTRADE database on international trade. China Exports to Russia - data, historical chart and statistics - was last updated on July of 2025.

This data collection consists of transcripts from 12 focus group discussions on themes related to social equality in Russia. The focus group discussions were conducted by the Institute of Applied Politics in Moscow, directed by Dr Kryshtanovskaya; using a discussion guide written by the Investigators. They were held in 12 cities chosen to represent different regions of the country, with an emphasis on provincial cities: Ufa, Kaliningrad, Ekaterinburg, Tiumen, Saratov, Ulyanovsk, Volgograd, Ivanovo, Irkutsk, Obolensk, Vladivostok and Protvino. The respondents included a mix of ages, genders, blue and white collar workers. The focus groups in Protvino and Ulyanovsk were held only for respondents age 18-29. The focus group discussions dealt with household and national economic change, perceptions of social fairness, and welfare values. Specifically, respondents were asked about the state of the national and local economies, their household economy, how they define rich and poor people and how they position themselves in relation to these categories. They were asked about whether they perceived differences in wealth between individuals, regions and between urban and rural areas as fair, and whether such differences are increasing or decreasing. Finally they were asked about whether the rich should take more responsibility for the welfare of the poor, about their own personal responsibility and that of the state and businesses, as well as about progressive income taxes and the degree to which the state should control the economy. The discussion guide is provided in Russian and English. Basic information about the respondents, including gender, age, and occupation are provided at the top of each focus group transcript. Each participant is identified by their given name only. The transcripts are provided in Russian. The Russian text was transcribed by the Institute of Applied Politics from audio files. A parallel set of focus groups was conducted in China and are available as the collection Social equality forum China: Focus group transcripts (see Related Resources). Taken together, Russia and China account for 41 per cent of the total territory of the BRICs and 63 per cent of their GDP/PPP. On Goldman Sachs projections China will be the world’s largest economy by 2050, and Russia its sixth largest. The project will seek to examine the following propositions: (1) that these two BRIC countries are becoming increasingly unequal; (2) that within them, political power and economic advantage are increasingly closely associated; (3) that their political systems have increasingly been employed to ensure that no effective challenge can be mounted to that combination of government position and economic advantage; (4) that set against a broader comparative perspective, an increasingly unequal society in which government is effectively immune from conventional challenge is likely to become increasingly regressive, or unstable, or both. Evidence will be drawn from official statistics, interviews with policy specialists and government officials, two dozen focus groups, and an analysis of the composition of the management boards of the largest companies in both countries. A final part of the analysis will employ crossnational evidence to test a series of hypotheses relating to the association between inequality and political instability on a more broadly comparative basis. Focus group discussions held in 12 Russian cities with 6 participants each drawn from a range of ages, both genders and different professions. Two focus groups were held for respondents age 18-29 only.

This data collection contains various data about current-economic and social practices in the border region shared between Russia, China and Mongolia, combining historical and anthropological methods of research. It contains informal interviews and pictures of representatives (informants) of the main focus groups, such as ethnic communities who straddle the border, such as the Nanai, Russians, and Mongols, border traders, and cultural activists among them. Interviews reflect their cross-border connections, including re-establishing of kinship ties, religious practices and social memory of separation and political upheavals between China and Russia, which greatly affected their everyday life at the border. Data reflects research findings to answer the question, how border society operates and how both countries manage their border economies, trade and migration. Along with detailed genealogies of some Buryat lineages, collection contains GIS maps of the Russian border region with China in Transbaikal region and fieldwork reports from various locations. Collection also includes data on research structure, workshops, publications, lectures and public talks of the Project members to share Project findings with a wider audience. The ‘Where Rising Powers Meet’ project aims to investigate what the Russian-Chinese border can reveal about the differing political economies of the two countries and their trajectories in the post-1991 era. Since each state exercises full sovereignty right up to their mutual border, there is no better place to compare the two remarkably dissimilar ways that economic development, the rule of law, citizen rights, migration, and inequality are managed. Yet state policies encounter volatile, more or less independent activities across this border. An important question the project will address is: how stable is this situation and what do the trends visible today indicate about the future of the two ‘rising powers’? This project, based at Cambridge but working in collaboration with colleagues in China, Russia, Mongolia, France and Denmark, is both multidisciplinary and multi-sited. The research team, composed of anthropologists, sociologists and economists, will be carrying out research at various sites along the border, from Mongolia in the west to Vladivostok in the east. The project has obtained the ethical approval of the University of Cambridge. Formal and informal interviews, photographs, digital audio recordings, surveys, GIS mapping, archival research. Data was collected during fieldwork in the border region, namely in border cities, such as Manzhouli, Blagoveshchensk, Vladivostok, Zabaikal'sk, Kyakhta and Suifenghe, including some archival research on history of the Sino-Russian trade relations (caravan trade) and cross-border migration. Focus groups include: - cross-border and transborder ethnic groups living in border area shared by China, Russia and Mongolia; Russian and Chinese border traders; Chinese seasonal labour migrants to Russia; Russian female border traders to China; border guards; mixed marriage couples. Interviews and surveys among Chinese and Russian border traders aimed to find new social stratification of the Sino-Russia border society in post-Socialist period.

The study, first of all, tested the hypothesis of “there is a relationship between democracy and FDI” to answer the research question raised at the beginning. The research sample was selected as BRICS-TM (Brazil, Russia, India, China, South Africa, Türkiye, Mexico) countries that have come to the fore in the world economy in recent years and whose strategic importance and power are expected to increase in the upcoming years. These countries were preferred because of their potential to attract FDI. FDI (LNFDI) was modeled as the dependent variable in this study. The democracy variable (DEMOC) was fictionalized as the independent variable. In addition, inflation (INF) and per capita income (PGDP) variables affecting FDI were added to the model as control variables based on the literature. First of all, the data on the indices of "political rights" and "civil liberties", which are accepted as indicators of "democracy" in the literature, were collected from the Freedom House database, and then the means of these indices were included in the analysis as values ​​for the variable of democracy. The index takes a value between 1 and 7; 1 is the best state of the level of democracy and 7 is the worst state of the level of democracy. Index values were attached to the model by scaling so that the minimum was 0 and the maximum was 100 in case of problems in analyses, calculation, and interpretation. In this study, inflation and income per capita variables were preferred in terms of both being the most preferred variables in the literature (details are given in Literature Review) and being the variables that affect foreign direct capital as the most inclusive in terms of macroeconomics.

China Imports from Russia was US$129.88 Billion during 2024, according to the United Nations COMTRADE database on international trade. China Imports from Russia - data, historical chart and statistics - was last updated on September of 2025.

The China-Mongolia-Russia Economic Corridor is confronted with security problems related with global warming, mostly including the increasingly serious of degradation of permafrost and land desertification. On one hand, frozen soil degradation has caused frequent disasters such as debris flow, flood, ice and snow damage along the China-Mongolia-Russia transportation and pipeline, which will cause water and soil erosion followed by exposed pipes in frozen soil, in particular in summer. On the other hand, desertification will drive the ecological environment more vulnerable with the compound hazards of soil erosion and sandstorms occurring frequently. Therefore, this dataset will hopefully provide basic climate data for the research on the climate change and its impacts on permafrost and desertification for the China-Mongolia-Russia Economic Corridor. The original data is extracted from ERA5- Land surface climate reanalysis data (ERA5 – Land) (source: https://cds.climate.copernicus.eu). We adopted the inverse distance weight (IDW) method to interpolate the original data with the spatial resolution of 10 km. Based on this dataset, the spatial and temporal distribution pattern of climatic factors are outlined over the past 40 years for the corridor.

Relative pollen productivity (RPP) estimates allow to recalculate vegetation cover from pollen counts. This dataset contains: a comprehensive compilation of available RPP studies and their data including information on the study design and models used to calculate the RPP values in the original studies. taxonomically harmonised RPP datasets for America (including Greenland), Europe (including Arctic Russia), China and one combined for the whole Northern hemisphere extratropics built out of the available studies.* fall speeds, which are necessary to reconstruct vegetation cover out of pollen counts and RPP values.We advise the user to read the manuscript doi:10.5194/essd-2019-242 accompanying the dataset prior to use especially the taxonomically harmonised datasets.

Russia Exports to China was US$68.68 Billion during 2021, according to the United Nations COMTRADE database on international trade. Russia Exports to China - data, historical chart and statistics - was last updated on September of 2025.