Spatiotemporal regularity and spillover effects of carbon emission intensity in China’s Bohai Economic Rim

Published: 18 April 2020| Version 1 | DOI: 10.17632/s9vy4m566y.1
Contributors:
Jin Wu,
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,
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Description

The database contains the raw data needed to run these models. The consumptions of coal, coke, crude oil, fuel oil, gasoline, kerosene, diesel, and natural gas are used to estimate CO2 emissions. Based on this, the carbon emission intensity of the seven provinces can be calculated from the ratio of the CO2 emissions to gross domestic product (GDP). Finally, the five covariates, which include urbanization, economic growth, energy intensity, industry structure, and population density, are calculated through the indexes of GDP, gross output value of the secondary industry, energy consumption, total population, urban population, and Population density.

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