• 关键词：碳排放强度  Moran's I指数  集聚效应  辐射效应

• 基金项目：国家自然科学基金项目（No.G0301）

• 张翠菊
• 重庆工商大学经济学院, 重庆 400067

• 张宗益
• 2. 重庆大学经济与工商管理学院, 重庆 400030;3. 西南财经大学金融学院, 成都 611130

• 摘要：估算了中国1997-2013年30个省（市、自治区）的碳排放强度数据，并利用全局Moran's I指数、局域Moran's I指数以及莫兰散点图从集聚效应和辐射效应两个角度考察了我国区域碳排放强度空间分布特征.结果显示：①集聚效应：我国省域碳排放强度具有明显的空间集聚特征，碳排放强度水平相似区域倾向于相邻分布；另外，碳排放强度空间分布呈现不断优化的趋势，即“低-低”集聚不断增加，“高-高”集聚逐渐减少.②辐射效应：内蒙古、宁夏和山西等省对周边地区的碳排放强度具有明显的正向辐射效应，广东、福建和浙江等省对周边地区碳排放强度具有明显的负向辐射效应.最后，据此提出政策建议.

• Abstract：This study estimated the provincial carbon emission intensity data in China from 1997 to 2013, and used Global Moran's I, Local Moran's I and Moran's Scatter Diagram to examine the spatial distribution features of China's regional carbon emission intensity from the perspectives of both agglomeration effect and radiation effect. The results indicate that China's provincial carbon emission intensity shows a marked feature of spatial agglomeration, as regions of similar level of carbon emission intensity tend to be geographically adjacent to each other. Moreover, the spatial distribution of carbon emission intensity shows a tendency of continuous improvement, as evidenced by the fact that "low-low" agglomeration is increasing while "high-high" agglomeration is decreasing. Provinces such as Inner Mogolia, Ningxia Autonomous Region and Shanxi exert an obvious positive radiation effect on the carbon emission intensity of neighboring regions, while provinces such Guangdong, Fujian and Zhejiang bring negative radiation effect to the carbon emission intensity of neighboring regions. Finally, advices on policy making are proposed based on the above-mentioned results and analysis.

• Key words：carbon emission intensity  Moran's I index  agglomeration effect  radiation effect

• 
  摘要点击次数： 1295 全文下载次数： 2486