| 中国工业碳排放绩效时空特征及技术创新影响机制 |
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| 引用本文： | 张悦,王晶晶,程钰.中国工业碳排放绩效时空特征及技术创新影响机制[J].资源科学,2022,44(7):1435-1448. |
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| 作者姓名： | 张悦 王晶晶 程钰 |
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| 作者单位： | 山东师范大学,济南 250358 |
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| 基金项目： | 国家自然科学基金项目(41871121);山东省高等学校青创科技支持计划项目(2019RWE014) |
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| 摘 要： | 从细分行业及区域视角切入,运用Super-SBM及双固定效应模型等方法,分析中国工业碳排放绩效的时空演变特征,并明确技术创新对工业碳排放绩效的影响机制。结果表明：①中国工业碳排放绩效在时序上整体呈现波动上升趋势,但仍有较大提升空间,行业及区域变化具有一定差异,年均增长率分别为11.38%、9.66%,其中黑色金属冶炼和压延加工业、造纸和纸制品业等碳排放绩效较低,计算机、通信和其他电子设备制造业碳排放绩效较高;②中国工业碳排放绩效空间分异与关联特征明显,大致由东部沿海向中西部递减,Moran’s I由1999年0.338上升至2019年0.509,空间集聚类型逐渐转变为高高集聚。中国工业碳排放绩效划分为14种类型,“低低低低”类型占主导地位;③R&D经费内部支出、R&D人员全时当量、专利申请数与工业碳排放绩效大致呈显著正相关,主要通过能源替代、工艺优化、产品创新等路径促进产业结构优化、提高能源利用效率、推动碳排放绩效稳步提升。最后从创新投入、政策体系及区域协调等方面提出对策建议,为中国区域及细分行业提高技术创新水平与促进工业绿色低碳发展等提供借鉴。
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| 关 键 词： | 碳排放绩效 工业部门 技术创新 影响机制 Super-SBM模型 |
| 收稿时间： | 2022-03-07 |
| 修稿时间： | 2022-06-17 |
Spatiotemporal characteristics of China’s industrial carbon emission performance and influence mechanism of technological innovation |
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| ZHANG Yue,WANG Jingjing,CHENG Yu.Spatiotemporal characteristics of China’s industrial carbon emission performance and influence mechanism of technological innovation[J].Resources Science,2022,44(7):1435-1448. |
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| Authors: | ZHANG Yue WANG Jingjing CHENG Yu |
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| Institution: | Shandong Normal University, Jinan 250358, China |
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| Abstract: | From the perspective of subdivided industrial sectors and regions, this study explored the spatiotemporal evolution of China’s industrial carbon emission performance and the mechanism of influence of technological innovation on industrial carbon emission performance by using the super-SBM (slacks-based measure) model and double fixed effect model, and draws the following conclusions: (1) China’s industrial carbon emission performance showed a fluctuating upward trend, with a large space for improvement. There were certain differences in the changes of industries and regions, with an average annual growth rate of 11.38% and 9.66% respectively. The carbon emission performance of ferrous metal smelting and calendering industry and paper and paper products industry is low, while the computer, communication, and other electronic equipment industry is high. (2) China’s industrial carbon emission performance shows obvious spatial differentiation and spatial association features, roughly decreasing from the eastern coastal areas to the central and western regions. Moran’s I increased from 0.338 in 1999 to 0.509 in 2019, and the type of spatial agglomeration gradually changes to high-high type. China’s industrial carbon emission performance can be divided into 14 types, of which the “low-low-low-low” type is most common. (3) There are significant positive correlations between the intramural expenditure on R&D, full-time equivalent of R&D personnel, and the number of patent applications and industrial carbon emission performance. Technological innovation mainly promotes the optimization of industrial structure, the improvement of energy utilization efficiency, and the steady improvement of carbon emission performance through energy substitution, process optimization, and product innovation. Finally, this study put forward some countermeasures and recommendations from the aspects of innovation input, policy system, and regional coordination, so as to provide a reference for improving the level of technological innovation and promoting green and low-carbon development in China’s regions and industrial subsectors. |
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| Keywords: | carbon emission performance industrial sectors technological innovation influence mechanism Super-SBM model |
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