湖北省技术进步的碳减排效应测算
Calculation of Carbon Emission Reduction Effect of Technological Progress in Hubei Province
摘要: 本文基于前人的研究，采用灰色关联度分析法，以湖北省2006~2016年的数据为基础，通过技术人员/总从业人员、R & D经费/GDP两个指标来测算湖北省技术进步，分别计算两个序列的增长幅度与碳排放强度的降低幅度之间的灰色绝对关联度、灰色相对关联度以及灰色综合关联度，得到湖北省技术进步与碳减排的关联程度。结果显示：技术人员/总从业人员、R & D经费/国内生产总值的增长幅度与碳排放强度的降低幅度之间具有非常强的关联性，综合关联度分别为0.9586、0.8682。这表明技术进步对碳减排具有促进作用，碳减排又进一步促进低碳经济。因此，湖北省政府应加大与鼓励企业在技术研究方面的投入和研究，在技术创新方面加大资金投入，为促进湖北省低碳经济的发展提供决策参考。
Abstract: Based on previous studies, this paper adopts grey relational analysis method, which is based on the data of Hubei province from 2006 to 2016. By technicians/general practitioners, R&D ex-penditure/two indicators of GDP, the technological progress in Hubei province has been measured. By calculating the grey absolute correlation degree, the grey relative relational grade and the grey comprehensive relationship degree, between the growth rates of the two sequences and the re-duction rates in carbon intensity, the correlation degree between technological progress and carbon emission reduction in Hubei province has been obtained. Results show that the technical per-sonnel/general practitioners, R & D funding/gross domestic product (GDP) growth and reduction of carbon intensity, have very strong connection between the relational grade of 0.9586, 0.8682, respectively. This shows that technological progress has a catalytic effect on carbon emission re-duction, which further promotes the low-carbon economy. Therefore, Hubei provincial government should increase investment in technology research, encourage enterprises and research, develop high and new technology applied talents, and increase capital investment in technology innovation, to provide decision-making reference for promoting the development of low carbon economy in Hubei province.
文章引用：洛瑞丽. 湖北省技术进步的碳减排效应测算[J]. 可持续发展, 2018, 8(3): 137-148. https://doi.org/10.12677/SD.2018.83016

参考文献

[1] Johnston, D., Lowe, R. and Bell, M. (2005) An Exploration of the Technical Feasibility of Achieving CO2, Emission Reductions in Excess of 60% within the UK Housing Stock by the Year 2050. Energy Policy, 33, 1643-1659.
[Google Scholar] [CrossRef] 
[2] Treffers, D.J., Faaij, A.P.C., Spakman, J. and Seebregts, A. (2005) Exploring the Possibilities for Setting Up Sustainable Energy Systems for the Long-Term: Two Visions for the Ditch Energy System in 2050. Energy Policy, 33, 1723-1743.
[Google Scholar] [CrossRef] 
[3] Goulder, L.H. and Schneider, S.H. (1999) Induced Technolog-ical Change and the Attractiveness of CO2, Abatement Policies. Resource & Energy Economics, 21, 211-253.
[Google Scholar] [CrossRef] 
[4] 赵子勋. 中国低碳经济发展的途径与潜力分析[J]. 长江丛刊, 2018(1): 32-132.
[5] 何建坤. 发展低碳经济, 关键在于低碳技术创新[J]. 绿叶, 2009(1): 46-50.
[6] 王中英, 王礼茂.中国经济增长对碳排放的影响分析[J]. 安全与环境学报, 2006, 6(5): 88-91.
[7] 陈凯, 佟昕. 中国碳排放强度与影响因素的关联分析[J]. 技术经济与管理研究, 2014(11): 9-12.
[8] 张兵兵, 徐康宁, 陈庭强. 技术进步对二氧化碳排放强度的影响研究[J]. 资源科学, 2014, 36(3): 567-576.
[9] 程云鹤, 齐晓安, 汪克亮, 等. 技术进步、节能减排与低碳经济发展——基于1985~2009年中国28个省际面板数据的实证考察[J]. 山西财经大学学报, 2013, 35(1): 51-60.
[10] 李沙沙, 牛莉. 技术进步对二氧化碳排放的影响分析——基于静态和动态面板数据模型[J]. 经济与管理研究, 2014(10): 19-26.
[11] 张艳. 技术进步对我国碳排放强度的影响研究[D]: [硕士学位论文]. 蚌埠: 安徽财经大学, 2016.
[12] 魏洁. 企业技术进步的低碳经济贡献度研究[D]: [硕士学位论文]. 北京: 北方工业大学, 2015.
[13] 刘思峰, 杨英杰, 吴利丰. 灰色系统理论及其应用[M]. 北京: 科学出版社, 2014.
[14] 李健, 周慧. 中国碳排放强度与产业结构的关联分析[J]. 中国人口资源与环境, 2012, 22(1): 7-14.
[15] 韦保磊. 灰关联与灰预测建模方法[D]: [硕士学位论文]. 郑州: 华北水利水电大学, 2017.
[16] 张阳, 张橙. 基于TOPSIS-灰色关联度分析的水资源配置方案综合评价[J]. 统计与决策, 2017(18): 62-65.
[17] 樊元, 李丽媛, 同小歌, 等. 财税政策和金融政策对中国高技术产业集聚效应分析——基于五大行业灰色综合关联度[J]. 科技管理研究, 2014, 34(7): 177-180.

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