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Can Technological Innovation Help China Take on Its Climate Responsibility? A Computable General Equilibrium Analysis

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  • Wei Jin

Abstract

This paper examines the effectiveness of China's indigenous R&D investment and technological innovation to curb its carbon emissions. The mechanism of endogenous technical change (TC) is incorporated an intertemporal computable general equilibrium (CGE) model. R&D investments and knowledge creations are modeled as the endogenous behaviors of private firms. The accumulated stocks of knowledge are applied in the production process to affect the rate and bias of TC. Simulation results show that: 1) While China's indigenous R&D efforts play a significant role to curb carbon emissions, sole dependence on R&D may be far from sufficient to achieve China's pledged Copenhagen climate target with complementary policies being required to reinforce existing climate actions; 2) Innovation policies including public R&D subsidy and stringent patenting system can help strengthen economy-wide R&D investment and further reduce emissions, but this complementary effect is still minor and insufficient to meet the stipulated emission cuts target; 3) Carbon taxation can create significant carbon-saving benefits and fulfill climate target, but this achievement is at the cost of economic losses. The induced technical improvement, however, can partially mitigate the deadweight loss incurred by carbon tax distortion.

Suggested Citation

  • Wei Jin, 2012. "Can Technological Innovation Help China Take on Its Climate Responsibility? A Computable General Equilibrium Analysis," CAMA Working Papers 2012-51, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:camaaa:2012-51
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    Cited by:

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    5. Hübler, Michael & Voigt, Sebastian & Löschel, Andreas, 2014. "Designing an emissions trading scheme for China—An up-to-date climate policy assessment," Energy Policy, Elsevier, vol. 75(C), pages 57-72.
    6. Jin, Wei, 2016. "International technology diffusion, multilateral R&D coordination, and global climate mitigation," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 357-372.
    7. Lai, Xiaodong & Liu, Jixian & Shi, Qian & Georgiev, Georgi & Wu, Guangdong, 2017. "Driving forces for low carbon technology innovation in the building industry: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 299-315.
    8. Jiancheng Qin & Hui Tao & Minjin Zhan & Qamar Munir & Karthikeyan Brindha & Guijin Mu, 2019. "Scenario Analysis of Carbon Emissions in the Energy Base, Xinjiang Autonomous Region, China," Sustainability, MDPI, vol. 11(15), pages 1-18, August.
    9. Ying Tung Chan, 2019. "Optimal Environmental Tax Rate in an Open Economy with Labor Migration—An E-DSGE Model Approach," Sustainability, MDPI, vol. 11(19), pages 1-38, September.
    10. Wei Jin, 2012. "International Knowledge Spillover and Technology Externality: Why Multilateral R&D Coordination Matters for Global Climate Governance," CAMA Working Papers 2012-53, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    11. Wei Jin, 2012. "Can China Harness Globalization to Reap Carbon Savings? Modeling International Technology Diffusion in a Multi-region Framework," CAMA Working Papers 2012-52, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

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