Carbon emissions refer to the process of releasing greenhouse gases such as carbon dioxide into the atmosphere through anthropogenic activities. These emissions primarily originate from fossil fuel combustion, industrial production, transportation, agriculture, and other human activities. These processes release substantial amounts of carbon dioxide into the atmosphere, creating a greenhouse effect that elevates global surface temperatures and triggers climate change.
Given the context of modern China's economic development, achieving low-carbon economic growth and sustainable development requires prioritizing the informatization of carbon emission data. The significance of digitizing and structuring carbon emission data lies in:
- Generating substantial carbon emission reduction effects and promoting emission reductions across industries.
- Providing technological support for carbon governance.
- Facilitating the establishment of a national unified carbon market.
China's low-carbon economy remains in its nascent stage, while informatization has emerged as a critical driver for sustainable socioeconomic development. This integration is essential for realizing low-carbon sustainability. CnOpenData presents China's carbon emission grid data at four administrative levels—provincial, prefecture-level city, county/district, and township—organized into four datasets that provide detailed carbon emission statistics.
Temporal Coverage
1970-2023
Field Description
Sample Data
China Carbon Emission Grid Data - Provincial Level
China Carbon Emission Grid Data - Prefecture-level City
China Carbon Emission Grid Data - County/District Level
China Carbon Emission Grid Data - Township Level
Relevant Literature
- Sun Xiaohua, Che Tianqi, and Ma Xuejiao, 2023: "Corporate Carbon Disclosure Catering Behavior: Identification, Premium Loss, and Mechanisms," China Industrial Economics, No. 1.
- Zhang Xiliang, Huang Xiaodan, Zhang Da, et al., 2022: "Energy Transition Pathways and Policy Research Under Carbon Neutrality Goals," Management World, No. 1.
Data Update Frequency
Annual Update