The Gross Domestic Product (GDP) in European Union was worth 19423.32 billion US dollars in 2024, according to official data from the World Bank. The GDP value of European Union represents 18.29 percent of the world economy. This dataset provides the latest reported value for - European Union GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

These are research indicators of comparative empirical investigation of South Eastern European Countries (SEECs) and People’s Republic of China (PRC) that were compiled from the criteria and factors of the World Bank. This dataset consists of data for SEECs and PRC for the period of 2000 to 2016. The World Bank Research Indicators consist of (1) GNI, Atlas Method (Current US$); (2) GNI per capita, Atlas; (3) GNI PPP (Current International $); (4) GNI per capita, PPP (Current International $); (5) Energy Use (kg of Oil Equivalent per capita); (6) Electric Power Consumption (kWh per capita); (7) GDP (Current US$); (8) GDP Growth (Annual %); (9) Inflation, GDP Deflator (Annual %); (10) Agriculture, Value Added (% of GDP); (11) Industry, Value Added (% of GDP); (12) Service, etc., Value Added (% of GDP); (13) Exports of Goods and Services (% of GDP); (14) Imports of Goods and Services (% of GDP); (15) Gross Capital Formation (% of GDP); (16) Revenue, excluding Grants (% of GDP); (17) Time Required to Start a Business (Days); (18) Domestic Credit Provided by Financial Sector (% of GDP); (19) Tax Revenue (% of GDP); (20) High-Technology Exports (% of Manufactured Exports); (21) Merchandise Trade (% of GDP); (22) Net Barter Terms of Trade Index (2000 = 100); (23) External Debt Stock, Total (DOD, Current US$); (24) Total Debt Service (% of Exports of Goods, Services and Primary Income); (25) Personal Remittances, Received (Current US$); (26) Foreign Direct Investment, Net Flows (BoP, Current US$); and (27) Net Official Development Assistance and Official Aid Received (Current US$). Furthermore, statistical data of SEECs and PRC were retrieved from Atlas 2.1 – Growth Lab at the Center for International Development at Harvard University and WITS – UNSD COMPTRADE.

A brief description of the provided GDP data for G20 & BRICS countries from 2008 to 2021 in five lines:

The data represents the Gross Domestic Product (GDP) of G20 countries, a group of major economies, over a 15-year period from 2008 to 2022.

It shows the varying economic sizes of G20 nations, with China and the United States consistently having the largest GDP, while smaller economies like Argentina and South Africa have considerably smaller GDPs.

Notably, the COVID-19 pandemic in 2020 had a significant impact, causing some countries' GDPs to contract temporarily before rebounding in 2021.

Japan, despite its size, experienced relatively stable GDP growth, while emerging economies like India and Indonesia demonstrated notable expansion over the years.

The European Union (EU) is not individually listed but represents a significant portion of the global economy, contributing to the overall global GDP figures.

We constructed the time-series of CO2 emission inventories for China, its 30 provinces and 182 cities. We followed the Intergovernmental Panel on Climate Change (IPCC) emissions accounting method with a territorial administrative scope. The inventories include energy-related emissions (17 fossil fuels in 47 sectors) and process-related emissions (cement production). The uniformly formatted emission inventories provide data support for further emission-related research as well as emissions reduction policy-making in China.China is the world’s top energy consumer and CO2 emitter, accounting for 30% of global emissions. Compiling an accurate accounting of China’s CO2 emissions is the first step in implementing reduction policies. However, no annual, officially published emissions data exist for China. The current emissions estimated by academic institutes and scholars exhibit great discrepancies. The gap between the different emissions estimates is approximately equal to the total emissions of the Russian Federation (the 4th highest emitter globally) in 2011. We are an international consortium formed by six leading research institutes in the field of green economy. Our GOAL is to develop robust evidence on green growth in both EU and Chinese cities and to draw lessons to facilitate a transition towards sustainable development in EU and Chinese cities. Our team has brought strong and multi-disciplinary expertise into this project from aspects of urban development, environmental economics, economy-energy-environmental modelling, carbon accounting and policy analysis for technology transfers. Green growth means shifting to a development model where environmental protection and economic growth complement each other, rather than being contradictory. Generating 85% of Europe's GDP, 80% of energy consumption and 75% of carbon emissions, cities have a central role to play in this process. European cities are striving for green growth. They are adapting local regulation and raising citizen awareness. Recently, the EU has launched the Europe 2020 strategy that sets out sustainable growth as one of its priorities, alongside smart and inclusive growth: 'making our production more resource efficient while boosting our competitiveness' . On the other hand, China will play a pivotal role in the fight against climate change given due to its immense size and need to develop. Shifting Chinese cities to a green growth path is a critical part of the fight. Chinese cities home 46% of the population and contribute 75% of the Chinese national economy and nearly 85% of CO2 emissions. The nexus between urban evolution and emission mitigation is the key in China's green growth. While the green-growth debate is becoming more prominent at the international level, understanding how to operationalise green-growth strategies is still lacking at more local levels. The key challenges remain: Challenge 1: What are the dynamics of emission trends in Chinese cities at different urbanisation and industrialisation stages? Energy and greenhouse gases (GHGs) emission inventories are usually built at national level. But no such international framework exists requiring measurements of city emissions or providing detailed methodological guidance for conducting an urban emissions inventory. We will construct city level emission inventories. Challenge 2: What factors are driving emission growth in cities? Quantification of emission driving forces has been extensively studies at the national level. Few studies have found at the city level. Understanding the key factors in driving the emission growth, one can target the problem more specific to reduce emissions in cities. Challenge 3: What are the sources of green growth in cities and how can we support green growth? Green growth can open up new sources of growth through increasing resource efficiencies and economic productivities, supporting technology innovations, creation of new market, boosting business confidence in green growth and enhance economic stability. Institutional arrangements and economic incentives are the key to sustain the sources of growth in cities. New institutional arrangements will need to be established to guide the development of green growth strategies and to overcome the institutional inertia and silos that exist around economic and environmental policy making. Challenge 4: How to use interventions to transform cities to green growth? Cities are the centre of transitioning towards green economy. Green growth is already underway in both European and Chinese cities. We identify available interventions for green growth and examine the effectiveness of those interventions. The CO2 emissions were estimated under the IPCC framework with best available emission factors and activity level data for China. For emission factors, they were collected from literature including Liu, Z. et al. 2015, Nature, 524, 335-338. The activity level data includes the fuel consumption and output of cement. They were collected from China's Energy Statistical Yearbook, China's Statistical Yearbook, China Economic Census Yearbook, provincial statistical yearbooks and city-level statistical yearbooks. More details on emission factors and activity level data can be referred to Shan et al. 2018, Scientific Data, volume 5, 170201.

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.

China-EU import and export trade structure in equipment manufacturing industry (unit: Billion US dollars).

The United States recorded a trade deficit of 71.52 USD Billion in May of 2025. This dataset provides the latest reported value for - United States Balance of Trade - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.