碳排放与其影响因素之间关系的变化—基于STIRPAT模型的分位数回归分析
The Change of the Relationship between CO2 Emissions and the Driving Forces—Quantile Regression Based on STIRPAT Model
DOI: 10.12677/JLCE.2016.53005, PDF, HTML, XML, 下载: 2,206  浏览: 6,841  国家科技经费支持
作者: 阳卫锋*:湖南工程学院理学院,湖南 湘潭;易伟义, 余 博:湖南工程学院管理学院,湖南 湘潭
关键词: 碳排放分位数回归STIRPAT模型生态弹性系数Carbon Emission Quantile Regression STIRPAT Model Ecological Elastic Coefficient
摘要: 前人很多有关人口、财富、科技和碳排放的关系的研究,都假定人口和财富的生态弹性系数是时间不变和空间不变的。本文基于STIRPAT模型,利用稳健的分位数回归分析了,我们讨论了碳排放与人口、财富和科技的关系在1992~2009年期间的变化情况。主要结果如下:1) 对于财富的生态弹性系数比人口的生态弹性系数大的国家,人口、财富、科技和碳排放的STIRPAT关系变化很小。2) 对于碳排放量相对高的国家,人口是碳排放的主要因素,科技对碳排放总量的影响也大,而碳排放量越高,财富对碳排放的影响越小。3) 对于碳排放量很高的国家,财富的生态弹性系数介于0.65~1.1之间。对于碳排放量较低或很低的国家,财富的生态弹性系数稳定在1.2附近。4) 9个不同分位数回归的科技截距的变化幅度由1992年的8.5缩小到2009的2.8。
Abstract: In most previous studies of the relationship between CO2 emissions, population, affluence and technology, the ecological elasticities of population and affluence were assumed to be both time invariant and space invariant. Based on the STIRPAT model, by using robust quantile regression, we studied the change of the relationship between CO2 emissions, population, affluence and technology at different CO2 emissions levels during the period 1992-2009. Our main results are as follows: 1) the relationship between CO2 emissions, population, affluence and technology changes slightly in countries where the ecological elasticity of affluence is greater than that of the population. 2) In those countries with relatively high levels of CO2 emissions, higher emissions mean that increases in population and affluence have smaller effects on the impacts of emissions, but technology has a greater effect on those impacts. 3) In those countries with high CO2 emissions, the ecological elasticity of affluence increases from less than 0.65 to 1.1, but in countries with moderate or low CO2 emissions, the ecological elasticity of affluence is stable at approximately 1.2. 4) The shifting scope of the technology intercepts of nine different quantile regression analyses decreases from 8.5 in 1992 to 2.8 in 2009.
文章引用:阳卫锋, 易伟义, 余博. 碳排放与其影响因素之间关系的变化—基于STIRPAT模型的分位数回归分析[J]. 低碳经济, 2016, 5(3): 27-35. http://dx.doi.org/10.12677/JLCE.2016.53005

参考文献

[1] IPCC (Intergovernmental Panel on Climate Change), Climate Change (2007) The Physical Science Basis. Cambridge University Press, Cambridge.
[2] Dietz, T. and Rosa, E.A. (1997) Effects of Population and Affluence on CO2 Emissions. Proceedings of the National Academy of Sciences, 94, 175-179. http://dx.doi.org/10.1073/pnas.94.1.175
[3] Commoner, B. (1971) The Closing Circle. Knopf, New York.
[4] Harrison, P. (1993) The Third Revolution: Population, Environment and a Sustainable World. Penguin Books, London.
[5] Raskin, P.D. (1995) Methods for Estimating the Population Contribution to Environmental Change. Ecological Economics, 15, 225-233. http://dx.doi.org/10.1016/0921-8009(95)00047-X
[6] York, R., Rosa, E.A. and Dietz, T. (2002) Bridging Environmental Science with Environmental Policy: Plasticity of Population, Affluence and Technology. Social Science Quarterly, 83, 18-34. http://dx.doi.org/10.1111/1540-6237.00068
[7] Dietz, T. and Rosa, E.A. (1994) Rethinking the Environmental Impacts of Population, Affluence and Technology. Human Ecology Review, 1, 277-300.
[8] York, R., Rosa, E.A. and Dietz, T. (2003) STIRPAT, IPAT and Impact: Analytic Tools for Unpacking the Driving Forces of Environmental Impacts. Ecological Economics, 46, 351-365. http://dx.doi.org/10.1016/S0921-8009(03)00188-5
[9] Shi, A. (2003) The Impact of Population Pressure on Global Carbon Dioxide Emissions, 1975-1996: Evidence from Pooled Cross-Country Data. Ecological Economics, 44, 24-42. http://dx.doi.org/10.1016/S0921-8009(02)00223-9
[10] York, R., Rosa, E.A. and Dietz, T. (2003) Footprints on the Earth: The Environmental Consequences of Modernity. American Sociological Review, 68, 279-300. http://dx.doi.org/10.2307/1519769
[11] 渠慎宁, 郭朝先. 基于STIRPAT模型的中国碳排放峰值预测研究[J]. 中国人口•资源与环境, 2010, 20(12): 10-15.
[12] 何小钢, 张耀辉. 中国工业碳排放影响因素与CKC重组效应——基于STIRPAT模型的分行业动态面板数据实证研究[J]. 中国工业经济, 2012(1): 26-35.
[13] York, R., Rosa, E. and Dietz, T. (2003) A Rift in Modernity? Assessing the Anthropogenic Sources of Global Climate Change with the STIRPAT Model. International Journal of Sociology and Social Policy, 23, 31-51. http://dx.doi.org/10.1108/01443330310790291
[14] Jorgenson, A.K. and Clark, B. (2013) The Relationship between National-Level Carbon Dioxide Emissions and Population Size: An Assessment of Regional and Temporal Variation, 1960-2005. PLoS ONE, 8, e57107. http://dx.doi.org/10.1371/journal.pone.0057107
[15] 宋杰鲲. 基于STIRPAT和偏最小二乘回归的碳排放预测模型[J]. 统计与决策, 2011(24): 19-22.
[16] Ying, F., Liu, L.-C., Wu, G. and Wei, Y.-M. (2006) Analyzing Impact Factors of CO2 Emissions Using the STIRPAT Model. Environmental Impact Assessment Review, 26, 377-395. http://dx.doi.org/10.1016/j.eiar.2005.11.007
[17] Liddle, B. and Lung, S. (2010) Age-Structure, Urbanization, and Climate Change in Developed Countries: Revisiting STIRPAT for Disaggregated Population and Consumption-Related Environmental Impacts. Population and Environment, 31, 317-343. http://dx.doi.org/10.1007/s11111-010-0101-5
[18] Koenker, R. and Bassett, G. (1978) Regression Quantiles. Econometrica, 46, 33-50. http://dx.doi.org/10.2307/1913643
[19] Commoner, B. (1992) Making Peace with the Planet. The New Press, New York.