The Impact of Industrial Added Value on Energy Consumption and Carbon Dioxide Emissions: A Case Study of China

Hua Xu, Bin Xia and Shumin Jiang ()
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Hua Xu: Department of Mathematics, Nanjing Normal University Taizhou College, Taizhou 225300, China
Bin Xia: Faculty of Science, Jiangsu University, Zhenjiang 212013, China
Shumin Jiang: Faculty of Science, Jiangsu University, Zhenjiang 212013, China

Sustainability, 2023, vol. 15, issue 23, 1-16

Abstract: China, as the world’s largest energy consumer, is faced with the growing pressure of carbon emission reduction. Promoting the sustainable transformation of the economy and society has become a major concern for all sectors of society. This paper assesses the potential impacts of industrial added value on energy consumption and carbon dioxide (CO 2 ) emissions from 2010 to 2020 in China using a multi-objective, linear programming model. The results show that when the industrial energy consumption is 3695.17 Mtce and the industrial CO 2 emission is 9364.16 Mt, the goal of energy saving and emission reduction can be achieved. This corresponds to an annual average growth rate limit of industrial added value of 7.8%. In addition, we find that when the annual average growth rate of industrial added value is greater than 9.9%, changes in the annual average growth rate of industrial added value have no impact on economic development. However, industrial energy consumption intensity and industrial carbon emission intensity decrease with the increase in the annual average growth rate of sub-sectors. This study proposes that energy conservation, emission reduction, and a realization of the sustainable transformation of industry scheme need to be achieved by the Chinese government in order to to continue to promote the development of several sectors with low industrial energy consumption intensity and low industrial carbon emission intensity through policy implications.

Keywords: industrial added value; multi-objective programming; energy consumption; carbon dioxide emissions (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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