Joint and interactive effects of trust and (inter) dependence on relational behaviors in long-term channel dyads

The authors investigate the effects of trust on the relational behaviors of firms in long-term channel dyads across different interdependence structures. Based on the long-term nature of the empirical setting, trust is posited to exert a positive effect on the emergence of relational behaviors in all interdependence conditions. This positive effect of trust is hypothesized to be stronger in highly and symmetrically interdependent channel dyads than in low-interdependence-type symmetric dyads. In addition, for both relatively more dependent and relatively less dependent members of asymmetric dyads, the effect size of trust is hypothesized to increase as the perceived level of interdependence asymmetry increases. Data collected from automobile dealers in Turkey reveal that trust in the supplier has the strongest positive effect on the relational behaviors of dealers in asymmetric dealer-supplier dyads that perceive themselves relatively less dependent than their suppliers. For relatively more dependent dealers, trust is found to exert a modest positive effect. In symmetrically interdependent dealer-supplier dyads, trust exerts a modest positive effect on dealer relational behaviors in the low mutual dependence condition, and this effect size reduces to the point of nonsignificance in the high mutual dependence condition. Theoretical and managerial implications of these findings are discussed.     

The interplay of task allocation patterns and governance mechanisms in industrial distribution channels

Task allocation involves the placement and performance of distribution subtasks among participants on an on-going basis in the channel. The authors offer an extended conceptualization of task allocation and examine its interplay in varying environmental conditions with shared decision making, pseudo-vertical integration, and dependence. They test the hypothesized relationships with three-stage least squares regression on a sample of farm equipment dealers. Results show that contractually based pseudo-vertical integration facilitates task allocation and, in turn, enlarged dealer task allocation patterns result in pseudo-vertical integration. Firm size has a significant influence on pseudo-vertical integration. In turbulent environments, dealers rely more heavily on shared decision making to allocate tasks than they do in stable environments. Although dependence increases pseudo-vertical integration, its effects on other factors are minimal. The results suggest that task allocation is an important construct that relates to several commonly observed channel characteristics.     

Surviving Chapter 11 Bankruptcies: Duration and Payoff?

Three of the authors previously developed a model to predict the duration of Chapter 11 bankruptcy and the payoff to shareholders ( Partington et al ., 2001 ). This work augments that study using a much larger sample to re-estimate the model and assess its stability. It also provides an opportunity for out-of-sample testing of predictive accuracy. The resulting models are based on Cox's proportional hazards model and the current article points to the need to test two important assumptions underlying the model. First, that the hazards are proportional and, second, that censoring is independent of the event studied. Using the extended data set, all the previously significant accounting variables drop out of the model and only two covariates of the original model remain significant. These are the market wide credit spread and the market capitalization of the firm, both measured immediately prior to the firm's entry to Chapter 11. Receiver operating characteristic curves are then used to assess the predictive accuracy of the original and extended models. The results show that Lachenbruch tests can provide a misleading indication of predictive ability out of sample. Using the Lachenbruch method of in-sample testing, both models show predictive power, but in a true out-of-sample test they fail dismally. The lessons of this work are relevant to better predicting the gains and losses likely to accrue to shareholders of companies in Chapter 11 bankruptcy and in similar administrative arrangements in other jurisdictions.     

对我国外贸"贫困化增长"的再分析

本文根据"贫困化增长"的前提条件,对我国外贸是否存在贫困化增长进行了探索,得出了我国并不存在贫困化增长的现象,最后根据我国现阶段的具体情况,提出了一些防范出现贫困化增长的措施.     

资产组合风险度量与选择之文献述评

根据资产组合理论的本质,理解和掌握资产组合理论具有重要的意义。本文主要从风险度量方法比较、现实金融资产收益的实际分布与相关性、以及金融资产收益的动态变化特征等角度,对资产组合风险度量与选择的相关文献进行回顾与评述。     

基于密度依赖模型的组织出生和组织死亡同向变动研究

经典密度依赖理论认为：在同一时间段,组织的出生率和死亡率会呈现反向变动的趋势。文章观察到了组织出生率和死亡率同向变动的现象。从密度依赖模型的出生率和死亡率函数出发,文章先从理论上推导组织设立和组织死亡同向变动的条件,再结合实际观察到的1993年-2017年广州市外资制造业企业出生和死亡现象展开讨论。结果发现：（1）当组织死亡率大于0,组织设立率小于0时,如果t时刻的密度小于出生率函数的密度系数除以两倍密度平方值系数的负数;组织年龄为u时的组织密度又大于死亡率函数的密度系数除以两倍密度平方值系数,就会出现组织死亡函数增长时,组织设立函数同时增加的现象;（2）1993年-2017年广州市外资制造业组织设立和组织死亡函数的变化趋势大致相同,也与文章理论上的数学推导大体保持一致;（3）组织死亡率、组织出生率和组织密度形成一定组合时,组织设立函数和组织死亡函数并不呈现反向关系,反而会出现同时增加或者同时减少的同向变动现象。     

中国股市收益率波动实证研究--基于自回归条件持续性模型

结合高频数据和自回归条件持续性(ACD)模型进行的研究表明:在中国市场,自回归条件持续性模型可以成功用来衡量交易到达的强度.最后展望了该模型的发展方向.     

Multiple-Category Decision-Making: Review and Synthesis

In many purchase environments, consumers use information from a number of product categories prior to making a decision. These purchase situations create dependencies in choice outcomes across categories. As such, these decision problems cannot be easily modeled using the single-category, single-choice paradigm commonly used by researchers in marketing. We outline a conceptual framework for categorization, and then discuss three types of cross-category dependence: cross-category consideration cross-category learning, and product bundling. We argue that the key to modeling choice dependence across categories is knowledge of the goals driving consumer behavior.     

Farmers’ objectives as determinants of organic farming adoption: the case of Catalonian vineyard production

This article assesses the decision to adopt organic farming practices. We use Duration Analysis (DA) to determine why farmers adopt organic farming practices and what influences the timing of adoption. We extend previous studies by including farmers’ objectives, risk preferences, and agricultural policies as covariates in the DA model. The Analytical Hierarchy Process is used as a multicriteria decision‐making methodology to measure farmers’ objectives. The empirical analysis uses farm‐level data from a sample of vineyard farms in the Spanish region of Catalonia. Farmers’ objectives are found to influence the conversion decision. Moreover, farmers who are not risk averse are more likely to adopt organic farming. Results point to the policy changes that have been most relevant in motivating adoption of organic practices.     

中国家庭长期多维贫困状态转化及教育因素研究

研究目标：分析教育因素对长期多维贫困的影响。研究方法：结合Foster（2009）持续时间分析法和A-F双界线法构建了长期多维贫困指数,并选取混合效应回归模型、明瑟收入方程及其改进形式,重点分析家庭教育因素对长期多维贫困的影响。研究发现：教育已经成为长期多维贫困的主要贡献因素,其贡献度随着贫困持续时间的增加而增加。教育水平不同导致教育回报率差异进而影响贫困家庭贫困剥夺深度和贫困持续时间差异,并且高中及以上学历的教育回报率呈明显递增趋势。研究创新：将多维贫困在静态时点上的测度拓展到跨期的动态测度,并从微观家庭所在社区（村）拥有的教育资源和各级教育回报率差异等方面剖析了家庭陷入长期多维贫困的原因。研究价值：为构建长期多维贫困指数和促进“精准扶贫、精准脱贫”提供理论参考。