中国人口资源与环境
中國人口資源與環境
중국인구자원여배경
China Polulation.Resources and Environment
2012年
3期
56~62
,共null页
刘健 王润 孙艳伟 舒舍玉 肖黎姗
劉健 王潤 孫豔偉 舒捨玉 肖黎姍
류건 왕윤 손염위 서사옥 초려산
STIRPAT模型 低碳试点省份 发展路径
STIRPAT模型 低碳試點省份 髮展路徑
STIRPAT모형 저탄시점성빈 발전로경
STIRPAT model; low-carbon pilot provinces; development path
近百年来,全球气候正经历以变暖为主要特征的显著变化。为应对气候变化,减少温室气体排放已经成为国际社会的共识。作为世界上最大的发展中国家和最大的二氧化碳排放国之一,应对气候变化离不开中国的参与。2010年8月,中国国家发展和改革委员会确定在陕西、广东、辽宁、湖北、云南五省开展低碳试点工作。本文以这五个省份为研究对象。根据1995—2009年统计年鉴数据,基于STIRPAT模型定量分析了人口规模、城市化水平、富裕度、产业结构和能源强度对碳排放的影响.并根据分析的结果给出了五个低碳试点省份低碳发展路径:陕藤省建设低碳省份应该从产业结构和能源强度两方面入手;广东省除控制人口规模外,还应该调整能源结构,倡导低碳生活方式;辽宁省降低碳排放主要应该从能源强度方面入手;湖北省应该从能源强度、产业结构和人口规模三个方面着手;云南省主要瘦该从人口规模入手,控制人口增长,提高人口素质,实现碳减排目标。
近百年來,全毬氣候正經歷以變暖為主要特徵的顯著變化。為應對氣候變化,減少溫室氣體排放已經成為國際社會的共識。作為世界上最大的髮展中國傢和最大的二氧化碳排放國之一,應對氣候變化離不開中國的參與。2010年8月,中國國傢髮展和改革委員會確定在陝西、廣東、遼寧、湖北、雲南五省開展低碳試點工作。本文以這五箇省份為研究對象。根據1995—2009年統計年鑒數據,基于STIRPAT模型定量分析瞭人口規模、城市化水平、富裕度、產業結構和能源彊度對碳排放的影響.併根據分析的結果給齣瞭五箇低碳試點省份低碳髮展路徑:陝籐省建設低碳省份應該從產業結構和能源彊度兩方麵入手;廣東省除控製人口規模外,還應該調整能源結構,倡導低碳生活方式;遼寧省降低碳排放主要應該從能源彊度方麵入手;湖北省應該從能源彊度、產業結構和人口規模三箇方麵著手;雲南省主要瘦該從人口規模入手,控製人口增長,提高人口素質,實現碳減排目標。
근백년래,전구기후정경력이변난위주요특정적현저변화。위응대기후변화,감소온실기체배방이경성위국제사회적공식。작위세계상최대적발전중국가화최대적이양화탄배방국지일,응대기후변화리불개중국적삼여。2010년8월,중국국가발전화개혁위원회학정재협서、엄동、료녕、호북、운남오성개전저탄시점공작。본문이저오개성빈위연구대상。근거1995—2009년통계년감수거,기우STIRPAT모형정량분석료인구규모、성시화수평、부유도、산업결구화능원강도대탄배방적영향.병근거분석적결과급출료오개저탄시점성빈저탄발전로경:협등성건설저탄성빈응해종산업결구화능원강도량방면입수;광동성제공제인구규모외,환응해조정능원결구,창도저탄생활방식;요녕성강저탄배방주요응해종능원강도방면입수;호북성응해종능원강도、산업결구화인구규모삼개방면착수;운남성주요수해종인구규모입수,공제인구증장,제고인구소질,실현탄감배목표。
To mitigate climate change, reducing greenhouse gas emissions has become the consensus of the international community. As the largest developing country and one of the largest emitters of CO2 in the world, China has participated actively in the action of mitigating climate change. In this study we try to explore low-carbon development paths for 5 provinces, namely Shaanxi, Yunnan, Guangdong, Liaoning, and Hubei in China, which were assigned as national pilot provinces for low-carbon development by the National Development and Reform Commission in August 2010. Based on the data from 1995 to 2009, a quantitative analysis of carbon emissions in 5 pilot provinces are conducted involving 5 factors such as population, urbanization, wealth, industrial structure and energy intensity in STIRPAT model. The results show: Shaanxi should focus on industrial restructuring and decreasing energy intensity. In addition to controlling population growth, Guangdong province should optimize the energy structure and advocate a low-carbon lifestyle. Lowering energy intensity should be the main measure to reduce carbon emissions in Liaoning; reducing energy intensity, optimizing industrial structure and controlling population growth play an important role on the path to low-carbon development for Hubei; Yunnan should make great effort in controlling population growth as well as improving population quality in order to realize its carbon emission target.