Improved Parallel Processing Function for High-Performance Large-Scale Astronomical Cross-Matching

Astronomical cross-matching is a basic method for aggregating the observational data of different wavelengths. By data aggregation, the properties of astronomical objects can be understood comprehensively. Aiming at decreasing the time consumed on I/O operations, several improved methods are introduced, including a processing flow based on the boundary growing model, which can reduce the database query operations; a concept of the biggest growing block and its determination which can improve the performance of task partition and resolve data-sparse problem; and a fast bitwise algorithm to compute the index numbers of the neighboring blocks, which is a significant efficiency guarantee. Experiments show that the methods can effectively speed up cross-matching on both sparse datasets and high-density datasets.

新疆农村金融抑制及其福利损失程度测度

利用对新疆农户的微观调研数据,基于双变量Probit模型分析农户资金供求的影响因素,估计新疆农村金融抑制程度,采用平均处理效应下的Match模型估计农村金融抑制的福利损失程度,研究表明:新疆农村金融抑制程度为67.82%,农村金融抑制对全部样本农户和遭受农村金融抑制的样本农户的消费支出、纯收入和经营纯收入均有负向影响,且全部样本农户的福利损失与遭受农村金融抑制农户的福利损失没有明显差异;上年生产性固定资产、上年金融资产余额、重大活动支出、是否处于高经济水平村庄等因素对农户资金需求有显著的正向影响,户主受教育水平、户主有无技能、是否有干部成员、获赠所得、是否处于资金丰裕村庄、非正规途径贷款、是否处于高经济水平村庄等因素对农户资金供给有显著的正向影响。

农户参与农地流转行为影响因素及经济效应分析

在大力推进农业现代化的背景下,探讨农地流转对农户家庭经济效应的影响,为农户权益保障提供参考。采用二值选择Bivariate Probit模型分析农户参与农地流转行为的影响因素,并根据农户家庭经济收支状况,利用Match模型评估农地流转行为给农户家庭带来的经济效应。研究结果表明:(1)农户家庭劳动力比重、受教育程度、人均耕地、农田生态环境等资源禀赋是影响农地流转的关键因素;(2)地区经济发展水平与农地规模经营相辅相成、互相促进,能够有力推动农业现代化建设;(3)农地转入或转出对农户家庭经济效益并未产生决定性影响,农户根据家庭实际选择恰当的农地流转方式才能有效提升家庭经济福利水平。建议着力完善农地流转市场机制和农村社会保障制度,借助市场力量实现土地经营权有序流转,切实尊重农户意愿及保障农户权益。