The dramatic rise of house prices in many cities of China has brought huge attention from both the governmental and academic circles.There is a huge debate on whether the increasing house prices are driven by market f...The dramatic rise of house prices in many cities of China has brought huge attention from both the governmental and academic circles.There is a huge debate on whether the increasing house prices are driven by market fundamentals or just by speculation.Like Levin and Wright(1997a,1997b),we decompose house prices in China into fundamental and nonfundamental components and demonstrate that the nonfundamental prat contributes a relatively small proportion of the rise of house prices in China.展开更多
根据2001—2007年我国渔船在东南太平洋海域的智利竹筴鱼生产统计数据、时空因子以及海表温度、叶绿素浓度、海表温度梯度等环境数据,利用广义可加模型(GAM)分析了智利竹筴鱼资源变动情况及其与时空和环境因子的关系.结果表明:GAM模型...根据2001—2007年我国渔船在东南太平洋海域的智利竹筴鱼生产统计数据、时空因子以及海表温度、叶绿素浓度、海表温度梯度等环境数据,利用广义可加模型(GAM)分析了智利竹筴鱼资源变动情况及其与时空和环境因子的关系.结果表明:GAM模型对单位捕捞努力量渔获量(catch per unit effort,CPUE)总偏差解释率为31.47%;竹筴鱼生产具有明显的季节变化,主要集中在第17～41周,其中第25～31周的CPUE较高;东南太平洋智利竹筴鱼作业渔场集中在78°—98°W,30°—43.5°S之间,适宜海表温度为12℃～18℃,14℃～16℃最适宜,适宜叶绿素浓度在0.09～0.18mg·m-3,海表温度梯度在0.3℃～1.9℃.逐步建模法结果表明,影响竹筴鱼资源丰度的因子按重要性从大到小依次为周次、年份、海表温度、经度、纬度、叶绿素浓度和海表温度梯度.展开更多
文摘The dramatic rise of house prices in many cities of China has brought huge attention from both the governmental and academic circles.There is a huge debate on whether the increasing house prices are driven by market fundamentals or just by speculation.Like Levin and Wright(1997a,1997b),we decompose house prices in China into fundamental and nonfundamental components and demonstrate that the nonfundamental prat contributes a relatively small proportion of the rise of house prices in China.
文摘根据2001—2007年我国渔船在东南太平洋海域的智利竹筴鱼生产统计数据、时空因子以及海表温度、叶绿素浓度、海表温度梯度等环境数据,利用广义可加模型(GAM)分析了智利竹筴鱼资源变动情况及其与时空和环境因子的关系.结果表明:GAM模型对单位捕捞努力量渔获量(catch per unit effort,CPUE)总偏差解释率为31.47%;竹筴鱼生产具有明显的季节变化,主要集中在第17～41周,其中第25～31周的CPUE较高;东南太平洋智利竹筴鱼作业渔场集中在78°—98°W,30°—43.5°S之间,适宜海表温度为12℃～18℃,14℃～16℃最适宜,适宜叶绿素浓度在0.09～0.18mg·m-3,海表温度梯度在0.3℃～1.9℃.逐步建模法结果表明,影响竹筴鱼资源丰度的因子按重要性从大到小依次为周次、年份、海表温度、经度、纬度、叶绿素浓度和海表温度梯度.
