能源技术创新在减少二氧化碳排放和保护环境方面扮演着至关重要的角色。本文把GDP作为控制因素,基于1996-2008年间中国大陆30个省市面板数据构建了动态面板数据模型,运用差分广义矩估计(DIF-GMM)方法研究能源技术专利与CO2排放之间是否存在因果关系。研究结果表明:能源技术专利、CO2排放及GDP之间存在长期均衡关系;短期内,从全国来看,能源技术专利降低碳排放的作用是有限的,并且在不同地区存在比较大的差异,除了西部地区外,东部和中部地区能源技术专利的增加均未显著地促进CO2排放的下降。
Abstract
Energy technology innovation plays a crucial role in the reduction of CO2 emissions and environmental preservation. In order to explore whether there is causal relationship between energy technology patents and CO2 emissions, this paper considers GDP as a control variable and builds dynamic panel data model using difference GMM(DIF-GMM) based on the data for 30 provinces in mainland China from 1996 to 2008. The results indicate that there are long-term equilibrium relationships among energy technology patents, CO2 emissions and GDP; in short-term, the role of energy technology patents in reducing CO2 emissions is limited in the national, and there are greater differences in different regions, energy technology patents have no significant effect on CO2 emissions reduction in eastern and central of China except for in western China.
关键词
CO2排放 /
能源技术专利 /
动态面板数据方法 /
面板误差修正模型
Key words
CO2 emissions /
energy technology patents /
dynamic panel data approach /
panel-based VECM
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] Metz B., Davidson O.R., Bosch P.R., Dave R., Meyer L.A. Climate Change 2007: Mitigation of Climate Change, Intergovernmental Panel of Climate Change (IPCC). Cambridge University Press, Cambridge, 2007.
[2] Popp D., Newell R. G., Jaff A. B. Energy, the environment, and technological change[R]. National Bureau of Economic Research Cambridge, Mass., USA, 2009.
[3] Rosendahl K.E.Cost- effective environmental policy: implications of induced technological change [J]. Journal of Environmental Economics and Management, 2004, 48 (3):1099-1121.
[4] Manne A., Richels R. The impact of learning- by-doing on the timing and costs of CO2 abatement [J]. Energy Economics, 2004, 26( 4): 603- 619.
[5] Gerlagh R.Measuring the value of induced technological change[J]. Energy Policy,2007,35( 11): 5287-5297.
[6] Bernstein P. M., Montgomery W. D., Tuladhar S. D. Potential for reducing carbon emissions from non-Annex B countries through changes in technology [J]. Energy Economics, 2006, 28(5-6): 742-762
[7] Lantz V., Feng Q. Assessing income, population, and technology impacts on CO2 emissions in Canada: Where's the EKC? [J]. Ecological Economics, 2006, 57(2): 229-238.
[8] 魏巍贤,杨芳. 技术进步对中国二氧化碳排放的影响 [J]. 统计研究,2010, 27(7):36-44.
[9] 石敏俊,周晟吕. 低碳技术发展对中国实现减排目标的作用[J].管理评论,2010,22(6):48-53.
[10] Chen Q. X., Kang C. Q., Xia Q., Guan D. B. Preliminary exploration on low-carbon technology roadmap of China's power sector [J]. Energy, 2011 36(3): 1500-1512.
[11] 姚西龙,于渤. 技术进步、结构变动与工业二氧化碳排放研究 [J]. 科研管理,2012,33 (8):35-40.
[12] Goulder L. H., Schneider S. H. Induced technological change and the attractiveness of CO2 abatement policies [J]. Resource and Energy Economics, 1999 (21): 211-253.
[13] Fisher-Vanden K., Wing I. S. Accounting for quality: Issues with modeling the impact of R&D on economic growth and carbon emissions in developing economies [J]. Energy Economics, 2008, 30(6): 2771-2784.
[14] Garrone P., Grilli L. Is there a relationship between public expenditures in energy R&D and carbon emissions per GDP? An empirical investigation [J]. Energy Policy, 2010, 38(10): 5600-5613.
[15] Ang J. B. CO2 emissions, research and technology transfer in China [J]. Ecological Economics, 2009, 68(10): 2658-2665.
[16] 曾昭法,陈青云. 中国东中西部经济增长对环境质量影响的对比研究[J]. 统计与决策,2009(2):113-115.
[17] Margolis R. M., Kammen D. M. Evidence of under-investment in energy R&D in the United States and the impact of Federal policy [J]. Energy Ploicy, 1999, 27(10):575-584.
[18] 王铮,朱永彬. 我国各省区碳排放量状况及减排对策研究[J]. 中国科学院院刊,2008, 23(2):109-115.
[19] 高铁梅. 计量经济分析方法与建模-Eviews应用及实例(第二版)[M]. 北京:清华大学出版社,2009.
[20] Arellano M., Bond S. Some tests of specification for panel data: Mote Carlo evidence and application to empolyment equations [J]. Review of econometric studies, 1991, 58(2): 277-297.
[21] Blundell R., Bond S. Initial conditions and moment restrictions in dynamic panel data models [J]. Journal of econometrics, 1998, 87(1): 115-143.
[22] 柳剑平,郑绪涛. 专利制度:对技术创新的激励作用及其优化[J]. 湖北行政学院学报,2008(1):58-60.
[23] 马驰,高昌林,施涵. 中国能源研究与发展(R&D)投入[J]. 能源研究与利用, 2003(3):3-6, 38.
基金
教育部新世纪优秀人才支持计划(NCET-10-0048,2010-2012);霍英东教育基金(121079,2010-2013);国家自然科学基金项目(71173017,2012-2015);教育部博士点基金(20101101110034,2011-2013);北京市自然科学基金项目(9112013,2011-2013);河北省社会科学基金(HB12YJ087,2012-2013);河北省社会科学发展研究课题(201204121,2012-2013)。
PDF(1 KB)
