不同经营形式下的私有林经营规模效率研究——以福建为例

研究林业经营效率是林业经营管理与林业政策的重要议题,对不同经营形式下的私有林经营规模效率进行研究具有重要的现实意义。本文以林农的经营形式为切入点,通过对福建省三大林区的调查,运用DEA方法测算与分析了自留山经营、家庭承包经营、股份合作经营等三种形式的私有林规模经营效率,得出了总体规模效率有待提高、股份合作经营规模效率相对较高、生产要素配置不太合理等结论,最后对提升私有林林地经营规模效率提出了因地制宜,选择多形式的林地经营形式;完善林地流转制度,提高林业整体规模效率;优化资源配置,提高林业生产效率等建议。     

基于投入产出和DEA的重庆主导产业选择研究

本文以重庆经济社会发展所呈现的重大战略机遇期为背景,以重庆市的投入产出数据为依据,结合产业经济学中有关主导产业选择的理论,根据投入产出法、层次分析法和数据包络分析法的相关原理,构建了一个重庆主导产业选择的模型并进行了实证研究,最终选择出重庆的主导产业,并指出了研究的不足之处和以后的研究方向。     

中国电信行业的技术进步与生产率变动——基于DEA-Malmquist指数法的分析

文章基于31个省市Panel数据,运用数据包络分析对中国电信市场的技术进步和规模效应进行测算,结果表明,在2007—2009年间,中国电信市场经历了一个先扬后抑的过程,在31个省市中,有16个省市处于规模效益递减阶段,这可能是因为企业规模扩张过度,而又因为金融危机使得企业在技术、资金和管理方面无法支撑过大的规模所导致,由此,电信行业的发展要重点把握好产业协调发展,完善产业的服务与管理水平,加强技术应用,避免盲目扩张。     

DEA模型在能源效率评价中的应用展望

随着我国经济的快速增长,能源需求压力日益增加。另一方面,能源效率低是我国由粗放加工型经济向高效集约型经济转变过程中的一个瓶颈。如何提高我国能源产业效率已成为能源研究领域学者关注的焦点。文章在分析和归纳DEA模型在能源效率评价研究的基础上,对DEA模型在能源效率评价领域的研究趋势进行了展望。     

Super-efficiency based on a modified directional distance function

The problem of infeasibility arises in conventional radial super-efficiency data envelopment analysis (DEA) models under variable returns to scale (VRS). To tackle this issue, a Nerlove–Luenberger (N–L) measure of super-efficiency is developed based on a directional distance function. Although this N–L super-efficiency model does not suffer infeasibility problem as in the conventional radial super-efficiency DEA models, it can produce an infeasible solution in two special situations. The current paper proposes to modify the directional distance function by selecting proper feasible reference bundles so that the resulting N–L measure of super-efficiency is always feasible. As a result, our modified VRS super-efficiency model successfully addresses the infeasibility issues occurring either in conventional VRS models or the N–L super-efficiency model. Numerical examples are used to demonstrate our approach and compare results obtained from various super-efficiency measures.     

Benchmarking airports from a managerial perspective

Benchmarking airports is currently popular both in the academic literature and in practice but has proved rather problematic due to the heterogeneity inherent in any reasonably sized dataset. Most studies either treat the airport production technology as a black box, or separate the terminal and airside activities, assessing them individually. In this article we analyze airports as a single unit due to the direct complementarities, thus avoiding the artificial separation of inputs. Using data envelopment analysis (DEA), we open the black box in which a network describes the production process, thus demonstrating the sequential effects that separate final from intermediate outputs, including those under partial managerial control and those that are known to be non-discretionary. To further improve the benchmarking process, we identify appropriate peers for a case study of 43 European airports over 10 years, through a restricted reference mechanism according to pre-defined characteristics. Compared to basic DEA models, the results of the proposed structure provide more meaningful benchmarks with comparable peer units and target values that are potentially achievable in the medium term. By identifying each unit's individual reference set, unique outliers influence the performance measurement less severely than occurs under basic DEA. In addition, the formulations produce an implementation path that moves the airport towards the Pareto frontier gradually, taking into account the regulatory and business environment in which the unit is located.     

A slacks-based measure of super-efficiency in data envelopment analysis: An alternative approach

The current paper proposes a slack-based version of the Super SBM, which is an alternative super-efficiency model for the SBM proposed by Tone. Our two-stage approach provides the same super-efficiency score as that obtained by the Super SBM model when the evaluated DMU is efficient and yields the same efficiency score as that obtained by the SBM model when the evaluated DMU is inefficient. The projection identified by the Super SBM model may not be strongly Pareto efficient; however, the projection identified from our approach is strongly Pareto efficient.     

基于资源共享与子系统交互的两阶段DEA评价方法——兼对我国“一流大学”科研绩效的评价

由于复杂的竞争环境,共享资源下的交互系统组织形式变得越来越普遍,因此有必要开发一种新的方法来衡量这些系统与子系统的效率。针对复杂系统的绩效评价问题,本文提出资源共享与子系统交互的两阶段DEA评价方法予以应对。该方法在测定系统总效率的基础上,运用Stackelberg博弈方法构建模型求解出唯一的子系统(阶段)效率。最后,将该方法应用于我国40所“一流大学”科研系统绩效评价中,评价结果反映出一定的科研系统特征,并验证了该方法的有效性。     

1992-2005年广东农业纯技术效率与规模效率实证研究

利用DEA方法对广东省1992--2005年农业纯技术效率和规模效率进行实证研究。研究表明：广东全省纯技术效率和规模效率水平不高,在加快农业发展时,同时遇到了纯技术效率和规模效率水平均不断下降的局面,特别是东西两翼地区和山区表现地尤为明显。对三个地区及各地市农业生产技术效率的考察发现,纯技术效率和规模效率水平存在一定的地区和地市差异。改善三地区及地区内各地市的技术效率已成为广东当前亟待解决的问题。     

基于DEA模型的陕西省工业主导产业选择研究

在分析陕西工业产业特征基础上,根据主导产业理论和主导产业的特征,建立了主导产业评价指标体系,进一步应用非参数的DEA模型对陕西省主要八大工业产业做了有效性分析,从而确定了陕西省工业主导产业.