Assessment of the effects of targeted poverty alleviation policy on differently poverty-stricken households: A multi-propensity score weighting model

Eliminating poverty is a multifaceted global challenge and a focal point of global development governance. With the implementation of targeted poverty alleviation (TPA), China's poverty alleviation efforts have had significant achievements. This study provides a new perspective by classifying poverty-stricken households based on poverty root causes at the household level, a multi-propensity score weighting model based on counterfactual inference is employed to examine the poverty reduction effect and policy precision on six non-equivalent poverty-stricken household groups in a Chinese county. The results reveal that the poverty reduction effects differed among poverty-stricken households with different root causes of poverty. Specifically, households impoverished due to disability have the lowest income of the six groups. The assistance policy effects also vary significantly and are found to be poorly suited to poverty-stricken households a lack of labor force and funds. A robustness test confirms this conclusion and a more nuanced analysis reveals that these differences are reflected in the wage and transfer incomes. Therefore, to ensure the stability of poverty reduction and the sustainability of income for poverty-stricken households, relevant associated aid policies need to place different emphases based on their household characteristics.     

Return Versus onward Migration: Go Back or Move On?

This paper examines the impact of unemployment on out-migration by distinguishing between return and onward migration and controlling for total earnings. We use Timing-of-Events models and control for the endogeneity of total earnings, unemployment and out-migration using administrative data from the Netherlands. Our findings suggest that unemployment triggers return migration more than onward migration. When total earnings are low unemployment increases the hazard of return migration. When total earnings are high the hazard rate of onward migration for unemployed immigrants increases. Thus, these findings highlight that out-migration is affected both by unemployment and by total earnings as well as by the interaction between the two.     

国外碳定价机制经验对中国实现双碳目标的启示

当前碳排放管理工作处于发展初期，碳定价机制运行效果尚不明显。通过分析全球碳定价机制运行情况，对比发现中国碳定价机制存在价格低、覆盖范围窄、配套政策不完善等问题。最后借鉴发达国家经验，从提高碳价、增加覆盖范围、完善配套措施等方面提出中国碳定价机制发展的政策建议。     

双碳目标背景下ESG表现提升企业价值了么--基于沪深300和中证500成分股的实证研究

本文以2018-2020年沪深300和中证500成分股上市公司为样本,实证研究双碳目标背景下企业ESG表现对于价值提升的意义。研究发现,ESG表现提升了企业财务绩效与市场绩效。进一步研究发现,企业治理条件与竞争环境均会对上述关系产生调节作用,具体的,对于融资成本相对高、规模相对小的非国有企业,提升ESG更有利于提高财务绩效与市场绩效;而对于产品市场竞争低的行业,提升ESG更有利于提高市场绩效。此外,分项的检验结果表明,目前只有G(治理)分项对企业的财务绩效与市场绩效具有明显的促进效应。本文研究结论不仅为企业实现绿色、低碳发展提供了ESG实践视角的方法与思路,同时也为国家完善ESG相关制度提供了新的启示。     

拖曳式雷达诱饵目标识别技术

针对拖曳式雷达诱饵易对雷达导引头造成欺骗性干扰的问题，利用雷达回波中提取的目标微动多普勒特征、极化特征和雷达截面积序列统计特征进行仿真分析，在实现载机和诱饵初步识别的基础上，采用贝叶斯（Bayes）数据融合方法，对上述3种回波信号特征进行一级融合，并进一步对不同时刻的信号特征进行二级融合，最终将目标识别率由71.5%提高到了96%。该目标识别方法能够大大减少外界因素的影响，相对于单特征识别显著提高了目标识别率。     

Target insiders' preferences when trading before takeover announcements: Deal completion probability,premium and deal characteristics

We contribute to the M&A literature by characterizing the information available to target insiders during the pre-public takeover negotiations. We analyze insider trading in target firms in the US between 2005 and 2018. First, we show that signing confidentiality agreements is an important information threshold. Second, insiders have a good grasp of deal success. They increase their net purchases only in deals with higher completion probability. Third, insiders guess the final offer price well, but their trading strategies additionally reflect their knowledge of deal characteristics. They prefer bidder-initiated, cash, privately negotiated, and strategic deals. Insiders combine several sources of information.