Gender discrimination,inflation, and the business cycle

Empirical evidence suggests that women are discriminated against in the labor market. We analyze the effects of taste-based and statistical gender discrimination on business cycle and inflation dynamics by including unpaid household production, two-agent households, and discriminatory firm behavior in a tractable New Keynesian model. After a negative demand shock, we find that the economic downturn is more severe in comparison to a non-discriminatory environment, as the shock implies an increase in the inefficient utilization of female and male productivity. Furthermore, the working time allocation between women and men becomes more inefficient. Moreover, we show that discrimination implies a lower transmission of expansionary monetary policy shocks on inflation. Overall, taste-based discrimination leads to larger macroeconomic distortions, while statistical discrimination implies higher intra-household inefficiencies.     

农业生产托管中组织关系演化及动力机制研究

小农户与现代农业发展的有机衔接是当前实施乡村振兴战略的关键措施，农业生产托管正是实现小农户与现代农业有机衔接的最有效途径。探究农业生产托管中组织关系的演化及动力机制可以对农业生产托管有更清晰的认识，更好地推进农业生产托管，为进一步规范农业生产托管提出对策建议。     

2019—2020年长沙市生产安全事故统计分析

为探究生产安全事故的演化规律，基于长沙市2019—2020年生产安全事故的数据，从事故发生时间、发生区域、行业和领域分布、事故等级等方面进行分析。研究表明：2019—2020年事故数量和死亡人数呈下降趋势，1月、8月、10月事故数量和死亡人数较多，2月事故数量和死亡人数少；非主城区的事故数量和死亡人数高于主城区，事故数量和死亡人数在空间上的分布比较均衡；道路运输和工矿商贸行业在全市生产安全事故中占绝大多数；工矿商贸行业中，建筑施工行业的事故数量和死亡人数最多；一般事故所产生的事故数量和死亡人数最多，重大事故的事故死亡率最高。     

Perseverance and suspense in tug-of-war

We study a tug-of-war game between two players using the lottery contest success function (CSF) and a quadratic cost (of effort) function. We construct a pure strategy symmetric Markov perfect equilibrium of this game, show that it is unique, and provide closed-form solutions for equilibrium strategies and values. In stark contrast to a model of tug-of-war with an all-pay auction CSF, players exert positive efforts until the very last battle in this equilibrium. We deliver a set of empirically appealing results on effort dynamics.     

中国新能源制氢潜力评价研究——基于31省份2017年和2030年的分析

使用SBM-Undesirable模型测算我国31省份的新能源制氢效率,从新能源制氢效率和新能源装机容量两个维度构建评价体系,再应用熵权评价法,对我国31省份的新能源制氢潜力进行分析,同时研究了新能源制氢潜力2017—2030年的变化情况。结果表明:风电制氢的效率明显高于光伏制氢;西北和华北地区的新能源制氢潜力明显高于其他地区;西北和华南地区存在新能源制氢潜力与加氢设施建设之间短期发展不均衡的现象;2030年我国各省份新能源制氢效率和潜力较2017年都有所提升。最后,依据评价结果提出改善我国氢能产业发展的对策建议。     

Advertisement policy for dual-channel within emissions-controlled flexible production system

Nowadays, industrial firms are very much careful to build a green environment by reducing carbon emissions. The government imposes some rules and regulations to provide a better eco-friendly environment. In this study, the cap-and-trade mechanism has been considered in a production model to control the carbon emissions rate. The manufacturers invest in advanced green technology to reduce per unit emissions. As online and offline selling is crucial to any industry for increasing customer demand, the manufacturers sell their products by dual-channel and advertise their products by online channel to make more popular of their products. Keeping these in mind, a sustainable flexible production model with single-type substitutable product production is considered here by imposing a cap-and-tax policy, investing in green technology, and advertising for products. This model is divided into two cases: with and without investment in green technology. The demand of each manufacturer depends upon an online selling price, an offline selling price, and an online advertisement of the product. A classical optimization technique helps to get the optimum strategies for the online selling price, offline selling price, advertisement investment, green technology, cycle time, and production rate. From the numerical study, it is proved that the industry gets 6.97% more profit in the case of green technology investment and the proposed study gives 5.74% more profit than the traditional production system. Sensitivity analysis and managerial insights are performed.     

Debt Overhang and Deleveraging in the US Household Sector: Gauging the Impact on Consumption

Using a novel data set for the U.S. states, this paper examines whether household debt and the protracted debt deleveraging help explain the dismal performance of U.S. consumption since 2007 in the aftermath of the housing bubble. By separating the concepts of deleveraging and debt overhang—a flow and a stock effect—we find that excessive indebtedness exerted a meaningful drag on consumption over and beyond wealth and income effects. The overall effect, however, is modest—‐around one sixth of the slowdown in consumption between 2000–06 and 2007–12—and mostly driven by states with particularly large imbalances in their household sector. This might be indicative of non‐linearities, whereby indebtedness begins to bite only when misalignments from sustainable debt dynamics become excessive.     

粮食主产区耕地健康产能评价 ——以河南省温县为例

研究目的:探寻适合中国新时代耕地产能评价的新理论与方法,界定耕地健康产能内涵,构建评价指标体系,并应用河南省温县验证。研究方法:基于"需求—功能—维度—要素—指标"理论框架,构建耕地健康产能评价指标体系,运用综合算法、"1+X"累加模型法、图层叠加法定量评价耕地健康产能。研究结果:(1)温县耕地产能和耕地健康诊断结果地域分异特征明显,以青峰岭为界,北部耕地产能和健康状况较南部好;(2)耕地健康产能整体状况良好,乡镇间差异明显;(3)耕地健康产能结果更多取决于耕地健康诊断,主要受耕地生产环境和耕地系统弹性影响。研究结论:耕地健康产能评价指标体系和评价方法有应用性。     

Predictive regressions under asymmetric loss: Factor augmentation and model selection

This paper discusses the specifics of forecasting using factor-augmented predictive regressions under general loss functions. In line with the literature, we employ principal component analysis to extract factors from the set of predictors. In addition, we also extract information on the volatility of the series to be predicted, since the volatility is forecast-relevant under non-quadratic loss functions. We ensure asymptotic unbiasedness of the forecasts under the relevant loss by estimating the predictive regression through the minimization of the in-sample average loss. Finally, we select the most promising predictors for the series to be forecast by employing an information criterion that is tailored to the relevant loss. Using a large monthly data set for the US economy, we assess the proposed adjustments in a pseudo out-of-sample forecasting exercise for various variables. As expected, the use of estimation under the relevant loss is found to be effective. Using an additional volatility proxy as the predictor and conducting model selection that is tailored to the relevant loss function enhances the forecast performance significantly.     

一种级联两箱通用数字预失真器及其辨识算法

提出了一种由单形规范线性分段(SCPWL)函数与记忆多项式级联的数字预失真器，并给出了复数域两步最小二乘参数辨识算法。不同于以往一种预失真器适用一种功放模型的情况，所提的预失真算法利用SCPWL函数的分段特性以及记忆多项式的非线性记忆特性，在完成参数辨识的同时自动地调整结构，可适用于传统以及强非线性新型功放模型的线性化补偿。将所提预失真器分别应用于传统记忆多项式、两箱模型以及新型包络跟踪功放。经过计算机仿真，功放输出的幅频特性和频谱曲线表明所提预失真器能够有效地补偿多种功放的非线性特性。算法仿真比较结果也表明，针对包络跟踪功放，所提复数两步最小二乘算法的邻道泄漏比(ACLR)可改善约35 dB，性能优于最小均方(LMS)类算法约30 dB。