从利益共同体到命运共同体:地方政府隐性债务的合作治理

在地方政府性债务的治理中,隐性债务因其增长迅速、规模不清和风险不确定,成为未来债务治理的重点和难点。隐性债务挟裹主体众多,关联利益甚广,因此,基于共同体视角,明确治理主体,有利于化解风险。在隐性债务生产阶段,因利而合的共同体大肆攫取利益导致隐性债务激增;在债务风险凸显阶段,利益共同体的本能选择不是"安危与共",而是"大难临头各自保"。但债务风险的"飞去来器效应"和群体性焦虑,将促使利益共同体走向命运共同体。命运共同体既是利益共同体,更是治理共同体。在隐性债务治理阶段,共同体应形成"共生"意识、采取"共治"行动、构筑"共担"保障,实现有效共治。     

Out-of-stock justifications and consumers’ behavioral outcomes– exploring the role of product type and sales level information in out-of-stock situations

The present study extends prior research on stockouts by examining how product-related attributes interact with OOS justifications to influence consumer responses to stockouts. Drawing from Out-of-stock (OOS) literature, this study investigates how perceived popularity, perceived uniqueness, negative affect, and behavioral outcomes are influenced by out-of-stock justifications, product type, and sales level. Two scenario-based experiments and two field studies are conducted in which the cause of the stockout, product type, and sales level are manipulated at different levels. The results of the studies provide the following primary insights- 1) Consumers infer popularity of the product when the product is OOS due to high demand or when the sales level is high 2) Consumers infer uniqueness of the product when the product is OOS due to short supply but not when sales level is low 3) As the perceived popularity of utilitarian products or the perceived uniqueness of hedonic products increases, consumers' propensity to switch stores to purchase the OOS products increases 4) Consumers’ intention to spread negative word of mouth decreases when the cause of OOS or a high sales level is specified. Retailers can influence behavioral outcomes by specifying the cause of stockout tailored according to the type of product, or by providing sales level information.     

Deep learning for modeling the collection rate for third-party buyers

This study evaluates a wide range of machine learning techniques such as deep learning, boosting, and support vector regression to predict the collection rate of more than 65,000 defaulted consumer credits from the telecommunications sector that were bought by a German third-party company. Weighted performance measures were defined based on the value of exposure at default for comparing collection rate models. The approach proposed in this paper is useful for a third-party company in managing the risk of a portfolio of defaulted credit that it purchases. The main finding is that one of the machine learning models we investigate, the deep learning model, performs significantly better out-of-sample than all other methods that can be used by an acquirer of defaulted credits based on weighted-performance measures. By using unweighted performance measures, deep learning and boosting perform similarly. Moreover, we find that using a training set with a larger proportion of the dataset does not improve prediction accuracy significantly when deep learning is used. The general conclusion is that deep learning is a potentially performance-enhancing tool for credit risk management.     

地方财政政策逆周期调节：财政分权还是债务增发*

财政政策工具实际操作偏离最初设计将会降低政策工具的调控效果，导致宏观经济波动加剧。针对地方政府财政政策的逆周期性调控目标，本文关注财政分权深化和政府债务增发的逆周期性效应。研究发现：地方政府财政政策总体呈现顺周期特征。财政分权程度的提高放大了地方财政政策的顺周期性。地方政府债务增发使地方财政政策呈现逆周期特征。地方政府财政政策及其收入面、支出面均呈现顺周期性，由“顺”转“逆”的债务平衡点分别为0137，0113，0209。当前绝大部分地区的债务规模都在债务平衡点之下。驱动地方政府债务逆周期调控的内在因素是官员晋升激励。晋升激励的程度越高，地方债务逆周期调控的力度就越大。但外部市场融资环境的波动削弱了地方政府债务逆周期调控的力度。本文的政策主张是，不宜过度财政分权，应该扩大地方债发行规模，促使地方财政政策逆周期调节。     

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.     

地方政府债务空间与空间债务——基于地根经济的区位黏性视角

本文从人口流动的区位黏性这一全新视角，将地方政府性债务的李嘉图等价命题纳入新经济地理研究框架进行理论分析。为了进一步揭示理论模型的政策含义，采用空间计量方法验证沿海地区地方政府性债务的局部正相关特征。最优的债务政策取决于经济系统的初始条件，在非对称经济结构已经存在的情况下，单纯建设本地区的基础设施只会降低区域内的交易成本，这对于那些仅着眼于投巨资用于城市“硬件”建设的地方政府来说显然是一叶障目。建议依靠基础设施网络提高区域协同创新能力，培育规模报酬递增的专业化产业集群。     

海南城乡居民消费水平差异性分析和预测

从1985-2018年海南城乡居民收入、消费数据出发，分别建立消费关于收入、消费差距关于收入差距的自回归模型，结果表明农村居民当期消费更易受近期收入和消费水平的影响，具有不稳定性。再利用GM(1,1)模型预测城乡居民收入差距，结合自回归模型，完成未来10年海南城乡消费差距的预测：收入差距和消费差距将呈直线递增趋势，收入差距的增幅高于消费差距增幅。缩小海南城乡居民消费差距的根本途径在于缩小收入差距，应因地制宜，切实提高农民收入水平。     

Biofuels technology development in Southern Africa

ABSTRACT

The benefits of biofuels depend on the feedstock, conversion pathway and local context. This paper assesses biofuels technology readiness and developments to provide foresight to biofuels development in Southern Africa. Efficient conversion pathways, coupled with biomass from waste or high-yielding energy crops, will reduce both the costs of biofuels production, and the environmental impacts. Compared to petroleum fuels, the current commercial biofuels (ethanol, biogas and biodiesel) typically offer carbon emission reductions of 30–50% but are marginally more expensive. The extent of biofuels market penetration will therefore be influenced by mandates (blending targets) and subsidies (green premium). Advanced biofuels promise greater efficiencies and carbon emission reductions at reduced cost but will require further research and development to reach commercialisation. If developed appropriately, biofuels can reduce carbon emissions and improve energy security, while enabling sustainable agriculture and improved natural resources management.     

The empowerment expectation–perception gap: An examination of three alternative models

Previous empowerment research has focused on subordinate perceptions of empowering leadership and its outcomes. Met‐expectations theory suggests that subordinate expectations of leader behaviours are essential in forming their a posteriori evaluations. To address the lack of investigation of individual expectations in the empowerment literature, in this study, we explore how subordinates' empowerment expectations and perceptions combine to influence their job satisfaction and psychological empowerment based on three alternative, theoretically derived met‐expectation models, namely, the disconfirmation model, the ideal‐point model, and the experiences‐only model. The results of a 2‐stage study of 114 respondents indicate that employees are more satisfied with their work when perceived empowerment exceeds expectations. However, both empowerment perceptions and expectations positively contribute to higher psychological empowerment. We then discuss implications and directions for future research.     

基于遥感蒸散数据的农田灌溉水平评价和设施建设分区研究

[目的]利用遥感蒸散数据快速评价农田年度灌溉水平,及时获取基本农田建设成效,为农田灌溉设施分区建设提供参考。[方法]以黑龙江省海伦市为研究区,MOD16蒸散产品为数据源,计算有效灌溉量、灌溉需水量和作物缺水指数,分别对研究区2013年的旱地和水田灌溉水平进行评价,并将评价结果与农田水利设施作用分值图进行叠加分析,在此基础上进行基本农田灌溉设施建设分区。[结果]2013年海伦市耕地灌溉水平整体较高,区域间建设水平差别较大,可划分为4个级别。其中1级和2级灌溉水平的地块面积比例可达78.06%,地域分布上看,北部、西部、中部乡镇灌溉水平较高,东南部乡镇灌溉水平相对较低。叠加得出8种组合类型,分为设施修建型、设施提升型和设施维护型3种分区类型。[结论]研究为高标准农田建设提供了更详细的农田灌溉水平评价方法和更具差别化的农田灌溉设施建设策略。