治理效能视角下公民参与公共服务的制度研究

公民参与公共服务的有序性和有效性并非直接相关,可以从有序性和有效性两个维度分析公民参与及其治理效能的关系.为提升治理效能,以程序性规则为核心的制度设计能更为充分地保障公民有序有效参与公共服务,实现公民与政府之间的良性互动与有序合作.基于全过程民主、程序性权利和共同体秩序等公民参与的程序性价值维度考量,再以环境保护领域中的公民参与为例,从公开公示机制、意见表达机制、回应吸纳机制、监督评价机制和责任追究机制等方面构建公民全过程参与制度,并探索公民参与的方法和策略.通过公民参与的程序性价值内化、方法创新与技术转型来推进治理体系和治理能力现代化.     

客户集中度、市场环境与存货管理效率

客户处在供应链的下游,对企业存货的采购、生产和销售都会产生重要影响,而多变的市场环境也在无形当中影响着客户与企业之间的关系。从企业所处行业、地区产品市场和客户三个角度所带来的市场环境变化入手,采用2011—2017年我国沪深两市A股制造业上市公司的数据,实证分析客户集中度与企业存货管理效率之间的关系。研究发现:(1)客户集中度越高,企业存货管理效率越高；(2)产品市场竞争力度越强,客户集中度对企业存货管理效率的影响越大；(3)产品市场发育越好,客户集中度对企业存货管理效率的影响越大。进一步研究发现,当企业因客户生产经营原因导致需求发生较大变化时,客户集中度对企业存货管理效率的正向影响更加显著。研究结论表明,政府应当注重市场竞争力的提升和良好经营环境的建设,使得企业在维护客户关系的同时充分发挥客户集中度对企业存货管理效率的积极作用。     

New two-stage sampling designs based on neoteric ranked set sampling

Neoteric ranked set sampling (NRSS) is a recently developed sampling plan, derived from the well-known ranked set sampling (RSS) scheme. It has already been proved that NRSS provides more efficient estimators for population mean and variance compared to RSS and other sampling designs based on ranked sets. In this work, we propose and evaluate the performance of some two-stage sampling designs based on NRSS. Five different sampling schemes are proposed. Through an extensive Monte Carlo simulation study, we verified that all proposed sampling designs outperform RSS, NRSS, and the original double RSS design, producing estimators for the population mean with a lower mean square error. Furthermore, as with NRSS, two-stage NRSS estimators present some bias for asymmetric distributions. We complement the study with a discussion on the relative performance of the proposed estimators. Moreover, an additional simulation based on data of the diameter and height of pine trees is presented.     

Probabilistic frontier regression models for binary type output data

This paper proposes a probabilistic frontier regression model for binary type output data in a production process setup. We consider one of the two categories of outputs as ‘selected’ category and the reduction in probability of falling in this category is attributed to the reduction in technical efficiency (TE) of the decision-making unit. An efficiency measure is proposed to determine the deviations of individual units from the probabilistic frontier. Simulation results show that the average estimated TE component is close to its true value. An application of the proposed method to the data related to the Indian public sector banking system is provided where the output variable is the indicator of level of non-performing assets. Individual TE is obtained for each of the banks under consideration. Among the public sector banks, Andhra bank is found to be the most efficient, whereas the United Bank of India is the least.     

浙江省城市绿色技术创新效率评价及影响因素分析

基于网络DEA模型和Malmquist指数模型，利用浙江省11个地级市的2011-2020年的数据，以降维后的污染指数为非期望产出对绿色技术创新效率进行测度和分析。发现:浙江各市总体上成果转化阶段的效率优于研发阶段，城市间发展差异较大；整体TFP指数均值为1.121，其提升主要源自技术进步；城镇化水平、产业结构优化、对外开放、政府干预和研发强度对绿色技术创新效率有促进作用，但经济发展水平与绿色技术创新效率的U型关系不显著。     

安徽省大别山区旅游扶贫效率时空格局演化及影响机理

采用DEA模型对安徽省大别山区旅游扶贫效率的综合测度影响因素分析可知:安徽省大别山区旅游扶贫效率处于中等偏低水平,呈现波动上升的趋势,主要受规模效率驱动;旅游扶贫规模效率和旅游扶贫综合效率的空间分异特征较为类似,均呈现出区域中间高南北低的分布,旅游扶贫纯技术效率高值区呈现出由区域北部和南部片状集中分布逐渐向四周不断分散分布的演化态势;投入规模、人力支持水平、可达性水平、信息化水平对大别山区旅游扶贫效率产生正向影响,且影响强弱呈现为信息化水平>人力支持>可达性水平>投入规模。     

Estimation of system reliability for exponential distributions based on L ranked set sampling

Abstract

In the case where strength and stress both follow exponential distributions, this paper considers the maximum likelihood estimator (MLE) of the system reliability based on L ranked set sampling (LRSS). The proposed MLE is shown to have existence, uniqueness and asymptotic normality, and its asymptotic variance is obtained by the Fisher information matrix of LRSS. The values of asymptotic relative efficiencies show that the proposed MLE is always more efficient than the MLE using simple random sampling (SRS). However, the MLE using LRSS cannot be written in closed form. Therefore, the modified MLE is proposed using the technique replaced some terms in the maximum likelihood equations by their expectations. The newly modified MLE using LRSS is shown to be superior to the MLE using SRS. Finally, the proposed method is applied to a real data set on metastatic renal carcinoma study.     

Conditional time-dependent nonparametric estimators with an application to healthcare production function

ABSTRACT

By using the probabilistic framework of production efficiency, the paper develops time-dependent conditional efficiency estimators performing a non-parametric frontier analysis. Specifically, by applying both full and quantile (robust) time-dependent conditional estimators, it models the dynamic effect of health expenditure on countries’ technological change and technological catch-up levels. The results from the application reveal that the effect of per capita health expenditure on countries’ technological change and technological catch-up is nonlinear and is subject to countries’ specific income levels.     

基于效率视角的上市公司股权激励工具选择研究

本文运用2011-2016年发布股权激励计划的我国A股上市公司数据，从激励效率的角度，探讨公司规模、成长性及产权性质等异质性要素如何影响公司股权激励工具的选择。研究发现，公司规模能够显著影响股权激励工具的效率，大型上市公司更适合使用股票期权，而小型上市公司更适合使用限制性股票；且公司成长性越高，上述匹配关系对股权激励效率的影响越显著。对于国有上市公司，选择股票期权作为股权激励工具比限制性股票更具有激励效率。     

目标导向层次分析方法

对含有抽象属性的多属性层次结构而言，层次分析法即AHP（包括DIS-AHP、ABS-AHP、IDE-AHP和SUP-AHP四种具体方法）会因比率比较基准缺失、权重内涵模糊不清或方案评价不保序而缺乏科学理性。为发展AHP，基于摆幅置权（SW）判断模式和多属性决策属性价值公度方法，首先给出了能为层次结构抽象属性上的SW判断提供支持的规约性多属性决策属性价值公度方法，然后由此并结合多属性价值理论给出了能够克服现有层次分析法内在缺陷的目标导向层次分析方法即ToAHP。相对于AHP，ToAHP在判断模式与权重内涵、方法建构的理论基础和相关假设检验、方案评价保序与其内在数理依据上具有明显的相对科学合理性。应用分析表明：在输入信息可比的条件下，ToAHP明显优于AHP的四种分析方法之中最具可信性的SUP-AHP方法。