PCEC-EIs Calculation Data: China Provincial Energy, Economic, and Land Use Indicators

Yiwei Yang compiled this dataset for calculating Provincial Carbon Emission Coefficients - Energy Intensities (PCEC-EIs). It aggregates provincial-level data from official Chinese statistical yearbooks for 2019-2020, including GDP, population, energy consumption, and land area. The data sources include the China Statistical Yearbook 2020, the 2019 statistical bulletin of national science and technology investment, and the China Energy Statistical Yearbook 2020.

Use Cases

• Modeling provincial carbon emission coefficients based on energy consumption and economic output data.
• Analyzing correlations between industrial added value and energy use patterns across Chinese provinces.
• Assessing renewable energy generation (hydro, nuclear, wind, solar) relative to total electricity production.
• Studying land use (agricultural, forestry, construction) in relation to economic and energy indicators.

Strengths

• Data is sourced from authoritative official publications, including the China Statistical Yearbook 2020 and the China Energy Statistical Yearbook 2020.
• The description specifies a clear methodology for calculating industrial and household energy consumption using provincial energy balance sheets and reference coefficients.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

China Statistical Yearbook 2020, 2019 statistical bulletin of national science and technology investment, China Energy Statistical Yearbook 2020

Collection Method

Aggregated and calculated from official yearbooks and bulletins by the author.

Time Range

Likely covers data for 2019 and 2020, based on the cited yearbooks.

Geography

Provincial-level data for China.