The Influencing Factors of Industrial Carbon Emissions in the Context of Undertaking Industrial Transfer in Anhui Province, China

Abstract

Industrial development has led to the indisputable fact that high carbon emissions were brought into Anhui Province. This paper calculates the changes in Anhui's carbon emissions from 2000 to 2015 and analyzes the influencing factors. The results prove that carbon emissions show a stable upward trend, but the growth rate has declined after 2005. Carbon emissions produced by three major industrial sectors: mining industry, EGW (electricity, water and gas) and manufacturing industry, show a growing trend, but growth rates decrease successively. According to the STIRPAT model, five factors, including out-of-province investment, energy consumption structure, per capita income, proportion of output value in the secondary industry to GDP and actual use of foreign capital, are positively correlated with Anhui's carbon emissions, while there is a negative correlation between the proportions of the total volume of foreign trade and the industrial added value of enterprises above designated size (two factors) to total industrial output value. As the structure of energy consumption has long been fueled by coal, the transfer of external industry mainly focuses on projects concerning power plants, steel product processing and coal chemical industry, which are highly energy-consuming, which means these are the main factors driving the growth of carbon emissions.

Peaking Industrial Energy-Related CO2 Emissions in Typical Transformation Region: Paths and Mechanism

“…In addition, the contribution of other factors to the peak value has little difference. This result is quite different from the results of previous studies such as Zhang et al [7] and Liu et al [8] which shows that economic growth and energy structure have a more significant effect, indicating that the transition region has special characteristics in the transition stage.…”

“…Lin et al [5] and Cui et al [6] suggested that industrial-scale was the leading force of carbon emission increase, while energy intensity had a negative impact on carbon emission, through Kaya identity and LMDI method in China's major energy-intensive industries. Zhang et al [7], in Anhui, applying STIRPAT model to decompose industrial carbon emissions into five factors such as out-of-province investment, energy structure, per capita income, industrial structure and actual utilization of foreign capital during 2000-2015, proved that energy consumption structure was the main factor to increase carbon emissions. Liu et al [8] proposed an extended STIRPAT model to investigate the six factors driving industrial carbon emissions in China.…”

Measuring the Energy and Carbon Emission Efficiency of Regional Transportation Systems in China: Chance-Constrained DEA Models

“…where e ti (unit: 10 thousand tons of standard coal equivalent) represents the consumption of energy t by DMU i ; z ti (unit: 10 thousand tons) also indicates the consumption of energy t by DMU i ; and F t denotes the standard coal coefficient of the t th energy (gasoline, 1.4714; kerosene, 1.4714; diesel, 1.4571) [52]. e values of z ti (t � 1, 2, 3) are obtained from [49].…”

Does Industrial Transfer Change the Spatial Structure of CO2 Emissions?—Evidence from Beijing-Tianjin-Hebei Region in China

“…Within a country, the transfer of industries between different regions can also cause changes in CO 2 emissions. The economic structure of the area of transfer-out will be optimised, promoting carbon emission reduction, while the area of transfer-in will present high emission characteristics [ 14 , 15 ]. However, there is also a point of view that industrial transfer is not the main premise of carbon emission transfer, and environmental regulation, industry type and technology also play a large role [ 16 , 17 ].…”

“…Therefore, there is still no clear conclusion about the impact of industrial transfer on CO 2 emissions. In the context of international and domestic industrial transfer continuing to increase [ 14 , 17 , 18 ], this issue deserves further study. In addition, most of the existing studies related to industrial transfer have explored the rationality of the international ‘pollution heaven’ hypothesis [ 19 , 20 , 21 , 22 ].…”