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Structure and Growth of the Chinese Economy
Government & Civic Records
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About
Data explores the structure and dynamics of the Chinese economy, recognised as the world's second largest economy. The dataset details the characteristics of this mixed system, which blends elements of capitalism and socialism, emphasising the significant role of the government alongside the expansion of the private sector. It provides insights into the major economic sectors: Agriculture, which employs approximately 25% of the workforce; Manufacturing, accounting for about 40% of the Gross Domestic Product; and Services, representing around 45% of the GDP. Furthermore, the information touches upon major national challenges, including rising inequality, serious environmental degradation (such as air and water pollution), and issues surrounding political stability. This complex system is expected to continue growing, though at a slowing pace due to these inherent challenges.
Columns
The data file contains 20 columns of global economic metrics and indicators.
- Country Name: Identifies the nation associated with the recorded economic metric.
- Country Code: The corresponding short code for the country.
- Series Name: The full descriptive title of the specific economic or development indicator being tracked (e.g., Population, total; Population growth (annual %)).
- Series Code: The technical code for the series name.
- 2000 [YR2000] through 2015 [YR2015] (16 columns): These columns provide the annual values for the indicator defined in 'Series Name' across the specified time range.
Distribution
The dataset is structured as a CSV file (
ECONOMIC_Cn NEW.csv). The file size is approximately 2.84 MB. It includes roughly 10.5 thousand records in total, with data points organised by country, indicator series, and annual measurements spanning sixteen years. The data quality appears high, with 100% validity across most identifier columns and a low percentage of missing values.Usage
This data is suitable for advanced macroeconomic analysis, particularly focusing on emerging market growth models. It can be used by analysts to track structural changes within sectors like Manufacturing and Services over time. Ideal applications include forecasting future economic trends, evaluating the efficiency of government regulatory policies, and employing sophisticated techniques such as AutoML or advanced Data Analytics to find hidden correlations between development indicators.
Coverage
The dataset includes data for a wide geographic scope, represented by approximately 292 unique Country Name values. The temporal coverage spans from the year 2000 up to and including 2015. The scope focuses on key economic and development metrics ('Series Name') relevant to global economies and development studies.
License
CC0: Public Domain
Who Can Use It
- Economists: For in-depth study of the dynamics and challenges facing the Chinese economy.
- Policy Makers: To inform regulations concerning private sector growth and state-owned enterprises.
- Data Scientists: For training models related to economic forecasting and applying Data Cleaning techniques to handle varied annual data entries.
- Academics/Students: As a source for research into mixed economies and global development indicators.
Dataset Name Suggestions
- Structure and Growth of the Chinese Economy
- Global Economic Indicators & China Focus
- Macroeconomic Development Data (2000-2015)
- China's Mixed Economy Metrics.
Attributes
Original Data Source: Structure and Growth of the Chinese Economy
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