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碳排放区域差异与经济增长的关系
  • ISSN号:1005-1309
  • 期刊名称:《上海经济研究》
  • 时间:0
  • 分类:F062.2[经济管理—政治经济学]
  • 作者机构:[1]南京财经大学产业发展研究院,江苏南京210046
  • 相关基金:国家自然科学基金资助项目(71303105); 江苏高校优势学科建设工程资助项目(PAPD)
中文摘要:

依据IPCC碳排放估算方法,测算了中国30个省市1999~2011年的CO2排放量,并选取碳排放总量、碳排放强度和人均碳排放量三个指标作为分类依据,运用多指标截面数据聚类法,将30个省划分为高、中、低三大碳排放区域。聚类结果显示,高碳排放区包括宁、内蒙古、晋、鲁、辽和冀六省,中碳排放区域包括粤、吉、苏、浙、豫、鄂、皖、黑、新、陕,低碳排放区域包括川、甘、赣、滇、沪、京、津、桂、渝、湘、闽、琼、青。并考察了碳排放与环境质量之间的关系,结果显示三大区域人均GDP和人均碳排放量之间均存在长期协整关系并且符合环境库兹涅茨曲线特征。

英文摘要:

According to the Intergovernmental Panel on Climate Change( IPCC) carbon emissions calculation method,the paper calculates carbon emissions of 30 provinces in china between 1999 and 2011 except Hong Kong,Macau and Taiwan. Selecting the amount of emissions、carbon intensity and per capita carbon emissions as three indicators,30 provinces are divided into three carbon emission region through cluster analysis of multivari- able sectional data. Clustering results show that high emission region includes Ningxia,Inner Mongolia,Shanxi,Shandong,Liaoning and Hebei. Moderate emission region have Anhui,Hubei,Zhejiang,Guangdong,Heilongjiang,Shaanxi,Jilin,Xinjiang,Guizhou,J iangsu and Henan. And low- carbon emission region including Jiangxi,Guangxi,Chongqing,Yunnan,Hunan,Sichuan,Shanghai,Fujian,Beijing,Hainan,Gansu,Qinghai and Tianjin. Besides,co- integration test and regression analysis was performed of carbon emissions and GDP per capita of the three groups. Results show that a co- integration relationship had long been exiting between them and fit the environmental Kuznets inverse U curve. It is predicted that the total carbon emission of the country will keep on increasing for a long time,however,with a growth rate of carbon emission lower than that of the GDP,which means the carbon emission intensity will keep on declining.

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期刊信息
  • 《上海经济研究》
  • 北大核心期刊(2011版)
  • 主管单位:上海社会科学院
  • 主办单位:上海社会科学院经济研究所
  • 主编:沈开艳
  • 地址:上海淮海中路622弄7号501室
  • 邮编:200020
  • 邮箱:sje_ed@163.com
  • 电话:021-33165200 33165202
  • 国际标准刊号:ISSN:1005-1309
  • 国内统一刊号:ISSN:31-1163/F
  • 邮发代号:4-524
  • 获奖情况:
  • 国内外数据库收录:
  • 中国中国人文社科核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:16646