To look tasty,let's show the ingredients! Effects of ingredient images on implicit tasty–healthy associations for packaged products

This study investigates the effect of ingredient images on implicit tasty–healthy associations for packaged products. An implicit association test (IAT) with 106 respondents reveals the impact of repeating ingredient images on the implicit healthy = tasty intuition; fewer ingredient images are linked to a stronger intuition. This study also considers explicit product packaging preferences and the number of ingredient images depicted. The implicit intuitions affect explicit preferences, such that packages depicting few ingredient images are preferred over those depicting many ingredient images for healthy products, but no significant effects emerge for unhealthy products.     

基于车辆数据的k近邻联合概率数据关联算法

在交通场景中采用一些预警措施能够有效地减少交通事故发生。例如，对车辆轨迹进行跟踪并预测车辆的驾驶行为，就是一个常用的预警方法。在对车辆进行跟踪的过程中，数据关联是很重要的部分，它可以对车辆的观测点和轨迹进行关联，从而更新车辆的轨迹，完成跟踪过程。在此背景下，提出了一种新的数据关联算法，即k近邻联合概率数据关联算法(k Nearest Neighbor-Joint Probability Data Association,kNN-JPDA)。实验结果表明，该算法能够较好地解决在交通场景下车辆数据的数据关联问题，在精度以及运行效率方面都有所提高。     

Misclassification errors in labor force statuses and the early identification of economic recessions

Accurate identification of economic recessions in a timely fashion is a major macroeconomic challenge. The so-called Sahm recession indicator (Sahm, 2019), one of the most reliable early detectors of the U.S. recessions, relies on changes in unemployment rates, and is thus subject to misclassification errors in labor force statuses based on survey data. We propose a novel misclassification-errors correction to improve the predictive timeliness and provide a proper threshold value. Using historical data, we show that the adjusted unemployment-based recession indicator offers earlier identification of economic recessions.     

How government-led land consolidation efforts achieve grain production stability? An empirical analysis in Hubei Province,China

China has been conducting massive land consolidation (LC) projects since the late 1990s to ensure national food security which has been one of the common issues in the world. How the implementation of LC projects affects grain production stability is a question should be answered. Basing on an empirical analysis at the county level in Hubei Province, China, this paper separates the trend component and the fluctuation component from a time series of grain production over 1991-2016 using the H-P filtering method. Then we estimate the impacts of LC projects and climate change on the trend and fluctuation rate of grain production for the entire Hubei Province. Moreover, the effects on the production of different major crops for the central, eastern, southwestern, northwestern and northern areas are also examined, respectively. The results show that: (1) the production trends for five subareas and the whole area all have followed a trajectory of “increase-decrease-increase” from 1991 to 2016. The magnitude of fluctuation rate was large but became smaller in recent years. (2) The contribution of LC to the long-term trends of grain production for the entire samples in Hubei Province mainly benefits from the growth in the cultivated land area through LC; more LC investment and newly-added arable land area promote the sudden increase in grain production above the long-term trends, while the impacts of LC area are negative. (3) The impacts of LC on the major crop production vary across areas. LC exerts significant impacts on the production of major crops in the central and eastern Hubei, and this effect persists to the following year. Similarly, this influence also exists in the southwestern and northern area, while becomes insignificant in the following year. No significant effect of LC variables is found in the northwestern area. These findings may provide reference for the government to address LC inefficiency and food security problems, and an effective and innovative mechanism combining the agricultural production, land consolidation and meteorological factors needs to be established to ensure food security and long-term and stable agricultural production. In addition, the regional difference in natural conditions and LC orientations should also be considered.     

Relationships between absenteeism,conservation group membership,and land management among family forest owners

Absentee landowners, or those who do not live on their forestland, own approximately 117 million acres of private forestland in the U.S. Thus, their land management decisions and activities influence the flow of forest-based goods and services. We explore the question of whether absentee family forest owners are less active land managers than resident landowners and whether membership in conservation organizations is associated with higher levels of land management activity by absentee owners. To examine these questions, we administered a mail survey to randomly-selected family forest landowners in Indiana. While we found some support for the contention that absentee owners are less active forestland managers than resident owners, we also found they are not necessarily inactive landowners. We found absentee owners were less likely to have: inspected their forestland for invasive plants, pulled or cut invasive plants, used herbicides to kill invasive plants, reduced fire hazard, or grazed livestock than resident owners. Absentee owners were more likely to be enrolled in the Indiana Classified Forest and Wildlands Program, a preferential forest property tax program. Absentee owners who are members of a conservation organization were more likely than absentee non-member owners to have undertaken a variety of land management activities, including: undertaking wildlife habitat improvement projects, inspecting their forestland for invasive plants, pulling or cutting invasive plants, enrolling in the Indiana Classified Forest and Wildlands program, and obtaining a management plan.     

医疗卫生资源、新型冠状病毒肺炎死亡率与资源优化配置

新冠肺炎疫情发生后，湖北省一直是疫情的重灾区与抗疫的焦点地区，患者死亡率远远高于全国平均水平。本文构建纳入医疗资源条件的新冠肺炎传播的SIER模型进行机制分析和模拟研究，发现改善卫生资源条件会降低疫情的死亡率。针对湖北省疫情数据，使用最小二乘方法进行实证研究后发现,无论是增加医院或者卫生系统内的床位数，还是增加医护人员数，均可显著地降低疫情死亡率。进一步通过时变效应和断点回归模型考察重大突发公共卫生事件一级响应政策效应和外援医疗团队效应，实证结果也佐证了上述推断。结合研究结论和湖北省防疫经验，本文提出先整合医院内部医疗资源，打破医院内部各科室之间分割，再整合地区内医疗卫生系统的资源，同时实施医疗系统外部资源三管齐下的医疗资源配置建议措施，以期为国内外疫情防控贡献中国智慧。     

金融科技能影响金融分权吗? ——来自金融科技信贷的证据

金融科技正在变革全球金融体系、鼎新世界金融格局。那么，金融科技在改变中国金融业格局的同时，是否会影响中国中央和地方之间的金融分权呢？本文在理论分析的基础上，使用2010—2018年中国31个省级区域的面板数据进行实证检验，结果表明金融科技降低了地方政府的金融分权水平。进一步讨论发现：金融科技对金融分权的抑制效应受到财政分权和城镇化率影响，财政分权越大的地区，金融科技对金融分权的抑制效应越明显；城镇化率越高的地区，金融科技对金融分权的抑制效应越小；在中国区域经济发展不平衡的现实背景下，金融科技对金融分权的抑制作用在金融发展欠发达地区比在较发达地区更强。     

Residential segregation and educational attainment of children from regional migrant families in China

This paper studies the residential segregation effects on educational attainment of children from regional migrant families in China. We find that if migrant families live in segregated communities with fewer local residents, the school dropout rate of the children living with their parents in the host cities is higher and their high school enrollment rate is lower. We employ a unique set of nationwide survey data of regional migrants in China in 2012 and 2013 that comprises more than 150,000 individuals in each year. We first use the ratio of migrants over the total population residing in a community to measure segregation. When the ratio increases by 10%, the school dropout rate of migrant children increases by 4.7% from the mean value. Secondly, we identify segregation from the housing type of the migrant family. When they reside in the dorms provided by their employers or in the workplace, they will also be surrounded by many migrant colleagues. We find that living in such places increases the “not‐going‐to‐high‐school rate” of migrant children by 35% from the mean value. Our subsample analysis indicates that the segregation effects only exist in the samples of male migrant children and rural hukou families.     

电力市场效率评估与碳市场价格设计——基于电碳市场关联视角下的传导率估计

厘清并量化电力市场与碳市场间的关联关系,是深化电力市场改革与实现"双碳"目标的重要抓手。本文基于2006—2018年中国100个地级及以上城市的面板数据,使用似不相关回归模型评估了电力市场效率,在此基础上研究了电、碳市场关联条件下碳价对电价的传导率,并对不同场景下全国碳市场的碳价进行了优化设计。研究发现:(1)与非试点地区相比,碳市场试点地区中电力市场的无谓损失率更低,并且市场效率的提高具有更高的碳减排作用。(2)电、碳市场关联条件下,碳价对电力市场中居民电价的传导率高于对工业电价的传导率,但均远低于完全竞争条件下的传导率水平。(3)传导率的提升能够缓解"降电价"与"碳减排"之间的矛盾。当前传导率下电力市场效率目标与碳减排目标的协同实现需要碳价的大幅提升,而在完全传导的理想情况下最优碳价约为40元/吨。(4)长期而言,当前传导率下碳排放总量下降场景、经济增速放缓场景对应的最优碳价分别为255.05元/吨、173.63元/吨,而人口老龄化场景并未对最优碳价的设置形成约束。本文的研究不仅为电力市场与碳市场之间的关联奠定了理论基础,也为全国碳市场价格机制的优化设计提供了政策参考。     

美国量化宽松货币政策对人民币汇率的影响——-基于ＡＲＩＭＡＸ模型的实证分析

以中国２００５年７月—２０１３年１０月的人民币实际汇率的月度数据为样本,采用干扰分析法对金融危机和美国量化宽松货币政策背景下的人民币汇率进行了实证分析。ＡＲＭＡＸ检验的结果表明,单纯金融危机对人民币汇率的影响并不显著,表明金融危机本身并未对人民币汇率形成实质性影响与瞬时脉冲效应;而考虑美国量化宽松货币政策因素之后的金融危机对人民币汇率产生了明显的贬值压力,金融危机和美国量化宽松货币政策两者综合作用的结果是对人民币汇率产生显著的贬值压力。相对而言,美国第一轮量化宽松货币政策对人民币汇率贬值压力最大,而第二轮量化宽松货币政策对人民币汇率产生升值的压力,第三轮与第四轮量化宽松货币政策对人民币汇率的影响并不显著。