Endogenous network efficiency,macroeconomy, and competition: Evidence from the Portuguese banking industry

Although performance analysis has become a vital part of the banking industry, research on the efficiency of Portuguese banking remains scarce and focused on discussing rankings to the detriment of unveiling its productive structure relative to its competition. This issue is of utmost importance considering the relevant transformations in the Portuguese economy over the last ten years. In this study, we developed a network productive structure comprising two paradigms (the production and intermediation approaches, respectively) to assess how market competition and other macro-economic variables impact bank efficiency and their feedback effects in Portugal. Unlike previous research, an integrated multi-layer perceptron (MLP)/hidden Markov model (HMM) was used for the first time to unveil endogeneity among banking competition, macro-economic variables, and the efficiency levels of the production and intermediation approaches in banking. The findings illustrate the pattern of interaction among these variables and verify that the production efficiency is the cornerstone of endogeneity in Portuguese banks. Policy makers will find the results helpful.     

技术效率暴露出的我国工业企业困境——基于研发企业的实证分析

研究筛选了2005-2007年连续三年都有研发投入的规模以上工业企业,主要采用超效率DEA模型,比较了两位数行业10项投入指标和11项产出指标对总体技术效率的贡献,发现限制行业投入产出效率的主要因素是"应收账款"和"广告费"。由于企业间欠账的普遍性和长期累积造成的高额度,严重制约了行业技术效率的提升,造成反映企业生产销售状况的主要产出指标普遍冗余,陷入即使增加投入也无助于提高产出效率的怪圈,其在行业中的普遍性和严重性已经很大程度影响了企业的创新效率,进而影响生产与销售行为,应引起政府管理部门的及早重视,并加以疏通和解决。     

东部地区十省市规模以上工业企业研发投入绩效评价

选取2021年度数据，采用数据包络分析（DEA）方法对中国东部地区10个省份规模以上工业企业的研发投入绩效进行评价，并采用灰关联分析方法分析确定各项研发投入产出指标相对于DEA效率的灰色关联度。研究结果表明，80%的省份规上工业企业研发投入产出处于非DEA有效状态，存在不同程度的投入冗余或产出不足；规上工业企业发明专利申请数与研发投入产出效率的关联度最高，其次是新产品销售收入和R&D经费内部支出。     

基于DEA模型的建筑业环境行为效率评价研究

对建筑企业进行环境行为效率评价是促进我国建筑行业健康可持续发展的重要手段。根据建筑行业特点及我国现有的企业环境信用标准,构建了建筑企业环境行为评价的投入产出指标体系,将改进的数据包络分析方法模型运用到企业环境行为效率评价领域,解决了现有企业评价研究主观性突出的问题,得出建筑企业评价分析方法。在此基础上对某代表性建筑企业2010—2017年环境行为数据进行了评价分析。分析结果表明该企业环境行为总体效率良好,但鉴于出现了奇数年和偶数年的效率波动情况,仍需提高环境行为效率。     

协调度视角下长江流域产业转移效率研究

实现区域经济协调发展是当前我国在块集聚与点极化双重压力下面临的现实难题，长江经济带尤其是欠发达省份承接发达地区产业转移是解决该难题的必然路径选择。产业转移活动因区域主客体特征变量不同，呈现出典型的多发式转移和门槛转移特征，使得区域政策制定缺乏科学指导，陷入盲目拼政策红利的状态。结合效率模型及考虑熵权的经济社会发展协同度分析，测算了2004-2016长江经济带各省（市）年综合产业转移效率，并考察了门槛效应值及变化趋势。结果表明：在考察期内，长江经济带各省（市）产业转移效率提升较为明显，但不少省（市）存在不协调的阶段性平衡关系，且这种关系还未显露经济总量驱动下的协同发展能力。     

我国农村产业融合发展的效率评价

[目的]为了进一步提升农村产业融合发展效率,提升农业质量效益和竞争力、增强农村发展活力、促进农民持续增收,[方法]文章根据我国农村产业融合发展的投入产出指标数据,利用DEA方法对我国31个省(自治区、直辖市)农村产业融合效率进行了科学的分析与测算,[结果]研究表明,我国农村产业融发展的总体效率偏低。从综合效率看,仅有天津等7个省(自治区、直辖市)的综合效率值高于0. 5;从纯技术效率看,仅有江苏等8个省(自治区、直辖市)的纯技术效率高于0. 5;从规模效率看,西藏、甘肃、青海3个省(自治区)的规模效率低于0. 5。提升农村产业融合发展效率仍有较大的空间。[结论]应从进一步加大对农村产业融合发展的资金投入力度、着力优化农村产业融合发展的资金投入结构、建立农村产业融合发展效率考评制度等方面提升农村产业融合发展效率,促进农村产业融合快速发展。     

Stochastic leader–follower DEA models for two-stage systems

Data envelopment analysis (DEA) is a non-parametric approach for measuring the relative efficiencies of peer decision making units (DMUs). In recent years, it has been widely used to evaluate two-stage systems under different organization mechanisms. This study modifies the conventional leader–follower DEA models for two-stage systems by considering the uncertainty of data. The dual deterministic linear models are first constructed from the stochastic CCR models under the assumption that all components of inputs, outputs, and intermediate products are related only with some basic stochastic factors, which follow continuous and symmetric distributions with nonnegative compact supports. The stochastic leader–follower DEA models are then developed for measuring the efficiencies of the two stages. The stochastic efficiency of the whole system can be uniquely decomposed into the product of the efficiencies of the two stages. Relationships between stochastic efficiencies from stochastic CCR and stochastic leader–follower DEA models are also discussed. An example of the commercial banks in China is considered using the proposed models under different risk levels.     

混合型基金绩效评估及驱动因素分析——基于DEA-Tobit模型

将随机选出的混合型基金作为研究样本,采用DEA-Tobit二阶段模型进行研究.首先利用数据包络模型对样本进行绩效评估,在此基础上,利用Tobit模型研究相关指标对于基金绩效的影响机制.结果表明,基金本身所面临的风险收益因素以及基金经理团队稳定性对于基金绩效均具显著影响.最后结合实证结果就提升中国基金绩效提出相关的建议.