Abstract
With the proposal of China’s “double carbon goal,” as a high energy‐consuming industry, it is urgent for the mining industry to adopt a low‐carbon development strategy. Therefore, in order to better provide reasonable suggestions and references for the low‐carbon development of mining industry, referring to the methods and parameters of the 2006 IPCC National Greenhouse Gas Inventory Guidelines and China’s Provincial Greenhouse Gas Inventory Preparation Guidelines (Trial), a carbon emission estimation model is established to estimate the carbon emission of energy consumption of China′s mining industry from 2000 to 2020. Then, using the extended Kaya identity, the influencing factors of carbon emission in mining industry are decomposed into energy carbon emission intensity, energy structure, energy intensity, industrial structure, and output value. On this basis, an LMDI model is constructed to analyze the impact of five factors on carbon emission from mining industry. The research shows that the carbon emission and carbon emission intensity of energy consumption in China’s mining industry first rise and then fall and then rise slightly. The carbon emission intensity in recent three years is about 2 tons/10000 yuan. The increase in output value is the main factor to increase carbon emission. The reduction in energy intensity is the initiative of carbon emission reduction. The current energy structure of mining industry is not conducive to carbon emission reduction.
Highlights
Introduction and Literature ReviewChina is the country with the largest energy production and consumption in the world, and the country with the largest carbon emissions [1]
To more comprehensively reflect the carbon emission of mining industry, this study considers 19 kinds of primary energy, and 2 kinds of secondary energy
E research industries are five major sectors in China’s mining industry: mining and washing of coal, extraction of petroleum and natural gas, mining and processing of ferrous metal ores, mining and processing of nonferrous metal ores, and mining and processing of nonmetal ores. e reason is that the output value data of “ mining of other ores” began to be counted in 2003, the output value accounted for less than 0.1%, and the terminal energy consumption accounted for less than 2%, while the “professional and support activities for mining” appeared only in 2012, and the output value accounted for a very low proportion
Summary
China is the country with the largest energy production and consumption in the world, and the country with the largest carbon emissions [1]. As a high energy-consuming industry, it is of great significance to study the carbon emissions of China’s mining energy consumption and the effects of its influencing factors for the green transformation and low-carbon development of mining industry. Considering the particularity of carbon emission calculation of secondary energy consumption, an estimation model of carbon emission of energy consumption in mining industry is constructed. The particularity of the mining industry is fully considered, and the influencing factors are decomposed using the extended Kaya identity On this basis, the LMDI model is constructed to analyze the action direction and influence the effect of the five factors on carbon emission, in order to provide an accurate reference for formulating the low-carbon development strategy of the mining industry
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