On partial linear additive isotonic regression

In this paper we discuss semiparametric additive isotonic regression models. We discuss the efficiency bound of the model and the least squares estimator under this model. We show that the ordinary least square estimator studied by Huang (2002) and Cheng (2009) for the semiparametric isotonic regression achieves the efficiency bound for the regular estimator when the true parameter belongs to the interior of the parameter space. We also show that the result by Cheng (2009) can be generalized to the case that the covariates are dependent on each other.     

Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA

Measuring and improving the efficiency of the Chinese commercial banking system has recently attracted increasing interest. Few studies, however, have adopted the two-stage network DEA to explore this issue in the Chinese context. Because the entire operational process of the banking system could be divided into two sub-processes (deposit producing and profit earning), the evaluation of the sub-process efficiencies could be used to assist in identifying the sources of the inefficiency of the entire banking system. In this study, we utilize the network DEA approach to disaggregate, evaluate and test the efficiencies of 16 major Chinese commercial banks during the third round of the Chinese banking reform period (2003–2011) with the variable returns to scale setting and the consideration of undesirable/bad output. The main findings of this study are as follows: (i) the two-stage DEA model is more effective than the conventional black box DEA model in identifying the inefficiency of banking system, and the inefficiency of the Chinese banking system primarily results from the inefficiency of its deposit producing sub-process; (ii) the overall efficiency of the Chinese banking system improves over the study period because of the reform; (iii) the state-owned commercial banks (SOBs) appear to be more overall efficient than the joint-stock commercial banks (JSBs) only in the pre-reform period, and the efficiency difference between the SOBs and the JSBs is reduced over the post-reform period; (iv) the disposal of non-performing loans (NPLs) from the Chinese banking system in general explains its efficiency improvement, and the joint-equity reform of the SOBs specifically increases their efficiencies.     

Stochastic metafrontiers

ABSTRACT

We consider the case of production units arranged into a number of groups. All units within a group choose output–input combinations from the same production possibilities set that is represented by a stochastic frontier model. The metafrontier is the envelope of the group-specific frontiers. We are interested in the metafrontier distance, which is the amount by which the group-specific frontier lies below the metafrontier.

Previous work has measured the metafrontier distance using the deterministic portion of the frontier. In a stochastic frontier model, this is not appropriate. We show how to evaluate the metafrontier distance, and we demonstrate the empirical relevance of this issue.     

农户苜蓿种植规模效率的实证分析---基于河北省黄骅市的实证分析

种植苜蓿对于畜牧业发展、土地资源改善具有重要意义,发展苜蓿种植是2015年中央一号文件的重要内容。本文以农户这一我国苜蓿种植主体为研究对象,利用河北省黄骅市的农户苜蓿种植调查数据,构建DEA模型对农户的苜蓿种植规模效率进行实证研究。结果表明,农户苜蓿种植获得最优效率的规模为18亩左右。利用Tobit模型,对影响规模效率的因素进一步分析计算发现,调查区域农户苜蓿种植处于粗放阶段,应鼓励发展苜蓿专业种植户,在种子、技术、资金及机械补贴、种植补贴等方面给予支持。     

Testing Hypotheses in Nonparametric Models of Production

Data envelopment analysis (DEA) and free disposal hull (FDH) estimators are widely used to estimate efficiency of production. Practitioners use DEA estimators far more frequently than FDH estimators, implicitly assuming that production sets are convex. Moreover, use of the constant returns to scale (CRS) version of the DEA estimator requires an assumption of CRS. Although bootstrap methods have been developed for making inference about the efficiencies of individual units, until now no methods exist for making consistent inference about differences in mean efficiency across groups of producers or for testing hypotheses about model structure such as returns to scale or convexity of the production set. We use central limit theorem results from our previous work to develop additional theoretical results permitting consistent tests of model structure and provide Monte Carlo evidence on the performance of the tests in terms of size and power. In addition, the variable returns to scale version of the DEA estimator is proved to attain the faster convergence rate of the CRS-DEA estimator under CRS. Using a sample of U.S. commercial banks, we test and reject convexity of the production set, calling into question results from numerous banking studies that have imposed convexity assumptions. Supplementary materials for this article are available online.     

要素匹配与中国投资效率空间差异性——基于双层嵌套型函数的分解研究

本文基于四要素双层嵌套的生产函数,利用1990-2016年全国层面及省际层面数据测算投资效率,并分析其空间结构特征及演变轨迹,检验投资效率匹配效应影响因素。研究发现：①1990-2016年我国整体投资效率呈下降趋势,资本-技能劳动匹配效应与整体投资效率走势趋同,快速累积的资本存量和不断升级的资本质量与短缺的技能劳动之间矛盾突出。②东中西部地区投资效率增长非一致性明显。东部地区资本相对投资效率明显高于中西部,但下降幅度大于中西部,中西部与东部地区之间差距缩小,其中匹配效应是区域间投资效率非平衡的主要成因。③若产业结构升级的技能劳动需求不能满足,将引发要素错配,不利于有效投资。房价与工资提升分别通过影响技能劳动供给和需求抑制要素匹配效率;教育和公路设施会对地区要素匹配产生积极影响,改善地区间投资效率非均衡性;地区投资效率存在显著正向空间相关性,毗邻地区的要素流动和经济发展相近地区的技术溢出均对投资效率产生积极的影响。     

收入再分配政策能否兼顾效率与公平的经济学分析

长期以来,社会各界对于“收入再分配政策能否兼顾效率与公平”问题一直存在着激烈的争论,而对于这一问题的回答不仅具有深远的理论意义,而且具有重要的政策涵义.为此,本文通过构建数理经济模型的方法,参与对这一问题的理论探讨.根据本文理论模型的分析,得出一个关键结论:在一些参数条件下,再分配政策可以兼顾效率与公平;而在另一些参数条件下,“效率与公平”这两个政策目标之间存在冲突.本文的这一结论并没有简单支持以往的任何一种观点,而是表明:如果能够根据经济发展水平,合理设计收入再分配政策,就可以实现效率与公平兼顾的政策目标;如果再分配政策的设计与经济发展水平不相适应,那么旨在改善收入分配不平等状况的再分配政策就会阻碍经济增长.     

论公共政策效能的衰减机制

公共政策效能衰减分为有效衰减和无效衰减两种形式。公共政策效能有效衰减是公共政策效能运行规律的反映,而无效衰减是在公共政策效能没有正常释放的情况下发生的,是影响公共政策目标实现的主要因素。公共政策共同体中,不同行为主体之间行为取向的多元化和行为方式的分散化是公共政策效能无效衰减的主要原因。公共政策共同体中各行为主体以理解为目的的交往活动,是减少公共政策效能无效衰减的重要途径。现有制度设计上的不完善,导致公共权力一定程度上的垄断化、碎片化和异质化,这是造成公共政策效能无效衰减的根本的原因。打造有利于公共政策共同体中各行为主体在平等互动基础上的有效的和全方位、深层次交往的制度性平台,实现公共权力在组织上、资源上和功能上的整合是克服公共政策效能无效衰减的根本途径。     

威布尔分布场合步加试验和步降试验的效率比较分析

 本文通过大量的Monte-Carlo模拟,在四个不同的准则下就威布尔分布比较了步进应力加速寿命试验和步降应力加速寿命试验的效率,认为步降应力加速寿命试验很值得推广,尤其是针对耗损型产品。