| Citation: |
FAN Ying, XIAO Xu. Collaborative Optimization of Carbon Pricing Policy and Innovation Investment for New Industrialization[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2024, 37(5): 1-14. DOI: 10.13766/j.bhsk.1008-2204.2024.1157
|
Carbon pricing policy is the core market mechanism for realizing the dual carbon goal, and innovative development is the internal driving force for promoting new industrialization. How to collaboratively design carbon pricing policies and innovation investment policies to accelerate the green and low-carbon transition of the industry is a key issue in the process of achieving new industrialization in China. This paper constructs a new dynamic computable general equilibrium (CGE) model that includes innovation elements and innovation sectors and focuses on the promotion mechanism of innovation activities for the progress of renewable energy technology and the improvement of energy efficiency in the industrial sectors. Based on this model, it evaluates the policy effects of different carbon pricing policies and various scenarios of using carbon revenues for innovation activities. Combining the main characteristics of new industrialization, the paper carries out the simulation analysis and comparison from several dimensions of economy, carbon emissions, emission reducation costs, energy consumption, electrification level, and level of innovation activities, and obtains optimized policy mix. The results show that by integrating carbon pricing policies with allocating a certain proportion of carbon revenues to the innovation activity sectors and subsidizing wind and photovoltaic power, it is likely to stabilize economic growth, reduce emission reduction costs, increase the proportion of renewable energy, promote low-carbon energy transition, achieve low-carbon growth in the industrial sectors, and advance the process of new industrialization, while realizing energy conservation and emission reduction.
| [1] |
JUNG H, SONG C K. Effects of emission trading scheme (ETS) on change rate of carbon emission [J]. Scientific Reports, 2023, 13(1): 912.
|
| [2] |
VENMANS F. A literature-based multi-criteria evaluation of the EU ETS [J]. Renewable and Sustainable Energy Reviews, 2012, 16(8): 5493—5510.
|
| [3] |
GAO Y, LI M, XUE J, et al. Evaluation of effectiveness of China’s carbon emissions trading scheme in carbon mitigation [J]. Energy Economics, 2020, 90: 104872.
|
| [4] |
RONCALLI T, SEMET R. The economic cost of the carbon tax[J/OL]. Available at SSRN, (2024−03−11)[2024−07−08].
|
| [5] |
NONG D, SIMSHAUSER P, NGUYEN D B. Greenhouse gas emissions vs. CO2 emissions: Comparative analysis of a global carbon tax [J]. Applied Energy, 2021, 298: 117223.
|
| [6] |
FAN Y, LIANG Z, YAO X. Regional power system transitions towards carbon neutrality: The case of North China [J]. Economic and Political Studies, 2022, 10(4): 416—441.
|
| [7] |
LÖSCHEL A, LUTZ B J, MANAGI S. The impacts of the EU ETS on efficiency and economic performance — An empirical analyses for German manufacturing firms [J]. Resource and Energy Economics, 2019, 56: 71—95.
|
| [8] |
KÖPPL A, SCHRATZENSTALLER M. Carbon taxation: A review of the empirical literature [J]. Journal of Economic Surveys, 2023, 37(4): 1353—1388.
|
| [9] |
NORDHAUS W. Climate change: The ultimate challenge for economics [J]. American Economic Review, 2019, 109(6): 1991—2014.
|
| [10] |
SOLOW R M. Technical change and the aggregate production function [J]. The Review of Economics and Statistics, 1957, 39(3): 312—320.
|
| [11] |
SOLOW R M. A contribution to the theory of economic growth [J]. The Quarterly Journal of Economics, 1956, 70(1): 65—94.
|
| [12] |
ROMER P M. Endogenous technological change [J]. Journal of Political Economy, 1990, 98(5): S71—S102.
|
| [13] |
刘晓光, 龚斌磊. 面向高质量发展的新增长分析框架、TFP测度与驱动因素[J]. 经济学(季刊), 2022, 22(2): 613—632.
|
| [14] |
YU Y, LI H, CHE Y, et al. The price evolution of wind turbines in China: A study based on the modified multi-factor learning curve [J]. Renewable Energy, 2017, 103: 522—536.
|
| [15] |
袁潮清, 董鸿源. 光伏组件技术进步的“干中学”与“研中学”效应研究[J]. 中国软科学, 2024(7): 49—58.
|
| [16] |
中国经济增长与宏观稳定课题组. 干中学、低成本竞争和增长路径转变[J]. 经济研究, 2006(4): 4—14.
|
| [17] |
SHAHBAZ M, SONG M, AHMAD S, et al. Does economic growth stimulate energy consumption? The role of human capital and R&D expenditures in China [J]. Energy Economics, 2022, 105: 105662.
|
| [18] |
TEIXIDÓ J, VERDE S F, NICOLLI F. The impact of the EU emissions trading system on low-carbon technological change: The empirical evidence [J]. Ecological Economics, 2019, 164: 106347.
|
| [19] |
WANG C, WANG L, WANG W, et al. Does carbon emission trading policy promote the corporate technological innovation? Empirical evidence from China’s high-carbon industries [J]. Journal of Cleaner Production, 2023, 411: 137286.
|
| [20] |
曹翔, 苏馨儿. 碳排放权交易试点政策是否促进了碳中和技术创新?[J]. 中国人口 • 资源与环境, 2023, 33(7): 94—104.
|
| [21] |
ZHU J, FAN Y, DENG X, et al. Low-carbon innovation induced by emissions trading in China [J]. Nature Communications, 2019, 10(1): 4088.
|
| [22] |
汤维祺, 钱浩祺, 吴力波. 内生增长下排放权分配及增长效应[J]. 中国社会科学, 2016(1): 60—81.
|
| [23] |
CAO J, HO M S, JORGENSON D W, et al. China’s emissions trading system and an ETS-carbon tax hybrid[J]. Energy Economics, 2019, 81: 741—753.
CAO J, HO M S, JORGENSON D W, et al. China’s emissions trading system and an ETS-carbon tax hybrid[J]. Energy Economics, 2019, 81: 741—753.
|
| [24] |
AN K, WANG C, CAI W. Low-carbon technology diffusion and economic growth of China: An evolutionary general equilibrium framework [J]. Structural Change and Economic Dynamics, 2023, 65: 253—263.
|
| [25] |
YUAN Y, DUAN H, TSVETANOV T G. Synergizing China’s energy and carbon mitigation goals: General equilibrium modeling and policy assessment [J]. Energy Economics, 2020, 89: 104787.
|
| [26] |
刘宇, 杨顺祥, 张金珠, 等. 环境信息披露质量改进对征收环境税的调节作用——基于中国环境CGE模型[J]. 管理评论, 2023, 35(2): 3—15.
|
| [27] |
LIU Y, DU M, CUI Q, et al. Contrasting suitability and ambition in regional carbon mitigation [J]. Nature Communications, 2022, 13(1): 4077.
|
| [28] |
张希良, 黄晓丹, 张达, 等. 碳中和目标下的能源经济转型路径与政策研究[J]. 管理世界, 2022, 38(1): 35—66.
|
| [29] |
SHI B, YUAN Y, MANAGI S. Improved renewable energy storage, clean electrification and carbon mitigation in China: Based on a CGE analysis [J]. Journal of Cleaner Production, 2023, 418: 138222.
|
| [30] |
SHI B, YUAN Y, SHI M, et al. Can learning-by-doing offset negative impacts of carbon pricing in China? [J]. Renewable and Sustainable Energy Reviews, 2023, 183: 113441.
|
| [31] |
YUAN Y, LI G, DUAN H. The achievement of multiple nationally determined contribution goals and regional economic development in China [J]. Environmental and Resource Economics, 2023, 84(4): 1155—1177.
|
| [32] |
SHAN Y, HUANG Q, GUAN D, et al. China CO2 emission accounts 2016—2017 [J]. Scientific Data, 2020, 7(1): 54.
|
| [33] |
DUAN H, ZHU L, FAN Y. Modelling the evolutionary paths of multiple carbon-free energy technologies with policy incentives [J]. Environmental Modeling & Assessment, 2015, 20(1): 55—69.
|
Supported by: Beijing Renhe Information Technology Co., Ltd. 
DownLoad: