Simulation Analysis of China’s Energy and Industrial Structure Adjustment Potential to Achieve a Low-carbon Economy by 2020
Nan Xiang,
Feng Xu and
Jinghua Sha
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Nan Xiang: School of Humanities and Economic Management, China University of Geosciences, Beijing 100083, China
Feng Xu: School of Environment Sciences, Tsinghua University, Beijing 100084, China
Jinghua Sha: School of Humanities and Economic Management, China University of Geosciences, Beijing 100083, China
Sustainability, 2013, vol. 5, issue 12, 1-19
Abstract:
To achieve a low-carbon economy, China has committed to reducing its carbon dioxide (CO 2 ) emissions per unit of gross domestic product (GDP) by 40%–45% by 2020 from 2005 levels and increasing the share of non-fossil fuels in primary energy consumption to approximately 15%. It is necessary to investigate whether this plan is suitable and how this target may be reached. This paper verifies the feasibility of achieving the CO 2 emission targets by energy and industrial structure adjustments, and proposes applicable measures for further sustainable development by 2020 through comprehensive simulation. The simulation model comprises three sub-models: an energy flow balance model, a CO 2 emission model, and a socio-economic model. The model is constructed based on input-output table and three balances (material, value, and energy flow balance), and it is written in LINGO, a linear dynamic programming language. The simulation results suggest that China’s carbon intensity reduction promise can be realized and even surpassed to 50% and that economic development (annual 10% GDP growth rate) can be achieved if energy and industrial structure are adjusted properly by 2020. However, the total amount of CO 2 emission will reach a relatively high level—13.68 billion tons—which calls for further sound approaches to realize a low carbon economy, such as energy utilization efficiency improvement, technology innovation, and non-fossil energy’s utilization.
Keywords: low-carbon economy; energy balance; industrial structure; dynamic simulation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (14)
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