The Study of Causal Relationship between Energy Technology Patents and CO2 Emissions

Yang Zhongmin, Wang Zhaohua, Su Lixia

Science Research Management ›› 2013, Vol. 34 ›› Issue (10) : 58-66.

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Science Research Management ›› 2013, Vol. 34 ›› Issue (10) : 58-66.

The Study of Causal Relationship between Energy Technology Patents and CO2 Emissions

  • Yang Zhongmin1,2, Wang Zhaohua1,3, Su Lixia1
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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.

Key words

CO2 emissions / energy technology patents / dynamic panel data approach / panel-based VECM

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Yang Zhongmin, Wang Zhaohua, Su Lixia. The Study of Causal Relationship between Energy Technology Patents and CO2 Emissions[J]. Science Research Management. 2013, 34(10): 58-66

References

[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.
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