美国失踪人口的时空格局演变与影响机制

基于Doe Network平台数据,综合运用数理统计、空间分析和地理探测器等方法,探讨了美国1996―2021年失踪人口的基本特征、时空格局与影响机制。结果表明:1)美国失踪多发生在青少年(13~18岁)与成年时期(19~59岁),且失踪人口数量随年龄增长呈先增后减的趋势;男性失踪人数多于女性,但失踪高发年龄略滞后于女性;各种族中黑人面临着最大的失踪风险。2)时间上,自1996年以来,失踪人口的年际变化数量先呈现波浪式上升趋势,2017年达到峰值后大幅下降;受气温和节假日影响,夏季6―8月和冬季12月为失踪高发期,2―4月为失踪的低谷期。3)空间上,失踪人口在州尺度上呈由沿海边境地区向内陆递减的特征,失踪高发区域随时间推移,自东、西沿海地区与南部美墨边境同时向美国内陆推进;县尺度上呈边缘集中成片,内部零星分散的特征。4)失踪人口数量变化是多因素共同作用的结果,主要受地区人口流动性、人均GDP、生育率以及易失踪人群基数影响,人口环境因子与经济、社会因子结合后对美国失踪人口空间分异的解释力增强,达到80%以上。5)人口失踪可用“社会失范理论”解释,社会目标和手段的脱节导致社会失范,进而诱发越轨行为,导致人口失踪概率的上升。

Missing Dollars： Significant Statistical Omissions of Global Monetary Aggregates

The choice of liquidity indicators is a key issue in global liquidity management. Money supply statistics such as M2 are no longer able to reflect the true scale of global liquidity due to the effect of financial globalization. External bank liabilities, as an important indicator to measure global liquidity conditions, are omitted by many countries in their broad money statistics. Given that financial institutions＇ external liabilities serve as a major source of fiscal shock as well as an important cause for the accumulation of monetary risk, it is imperative to include these external liabilities into the global liquidity indicator system.