摘要
本文将城镇化率引入STIRPAT模型,应用岭回归方法计量分析人口、经济及技术因素对碳排放的影响。对黑龙江省1993至2012年这阶段的碳排放情况的进行实证研究,结果表明,人口增加、经济增长、城镇化率提高对黑龙江省1993-2012年碳排放具有增量效应,是导致黑龙江省碳排放持续增加的驱动因素。能源强度对碳排放具有减量效应,提高能源利用率是黑龙江省实现碳减排的重要途径。
In this paper urbanization rate is introduced into STIRPAT model. Using the application of ridge regression method to measure the factor of population, economic and technical on carbon emissions. Through the study of carbon emissions in Heilongjiang province from 1993 to 2012, we can see the increas-ing of population, economic growth, urbanization rate have an incremental effecting on carbon emissions in Heilongjiang, and these are the driving factors of carbon emissions in Heilongjiang province continued to increase. The reduction of energy intensity has a reducing effect on carbon emissions, it is an important way to realize the carbon emission reduction in Heilongjiang province by increasing operating factor of energy.
出处
《国土与自然资源研究》
2015年第4期30-32,共3页
Territory & Natural Resources Study
基金
黑龙江省科学院青年创新基金重点项目:"黑龙江省耕地集约利用的碳排放效率研究"
黑龙江省科学院青年创新基金重点项目:"黑龙江省碳交易研究"
黑龙江省财政自拟项目:"黑龙江省生态资源价值核算技术及生态补偿策略研究"
关键词
城镇化
碳排放
岭回归
urbanization
carbon dioxide emissions
ridge regression
