A two-stage translog marginal cost pricing approach for Floridian hospital outputs

Since the passage of the Affordable Care Act (ACA) of 2010, issues still remain regarding the mandated purchase of insurance to ensure more universal coverage. One such issue is the pricing of these insurance packages and whether or not the reimbursements will cover necessary services. Therefore, policy concerns exist that increasing the number of insured individuals may not curtail costs. Conversely, providers may not wish to treat patients covered by excessively frugal plans such as Medicaid; hence the trade-offs between access and cost control. In this article, we present findings from a cost function and a productivity approach to determine the marginal cost of providing inpatient hospital care for hospitals operating in Florida during 2005. Using these methodological approaches, we are able to use the marginal rate of transformation to determine the relative marginal costs while controlling for hospital technical and allocative inefficiency. Our work differs from earlier articles as we avoid the Greene problem for cross-sectional models through a two-step approach. By including both reimbursement rates under conditions of hospital efficiency, we can ascertain payment schemes that should, at least in theory, cover necessary costs for patient care without leading to excessive input usage.     

Environmental factors affecting European and Central Asian health-systems’ bias-corrected efficiency

Health expenditures comprise a large part of national incomes, which explains the growing interest of government agencies in establishing efficient control and management policies in the current context of economic difficulties. One of the main problems in efficiency analysis is to determine the environmental variables that have an impact on the production process. In particular, employing data on the European and Central Asian health systems, the article demonstrates that bias corrected Data Envelopment Analysis is most appropriate measuring efficiency than traditional Data Envelopment Analysis. Bias correction, implies a higher potential resources reduction, affects the ranking of health systems and allows variables influencing efficiency which would be undiscovered with non-corrected estimation. The second stage determines that lifestyle factors, policy organization and location of countries affect the efficiency results and cause differences among the countries. The contribution of these results is particularly useful facing the decision making by governments. Their strategies should be oriented to implementing active policies to struggle against smoking and promoting health policies aimed at increasing the level of immunization in order to be more effective improving management efficiency.     

基于DEA方法的浙江建筑业发展评价研究

建筑业作为浙江经济的支柱产业对推动经济的发展起着巨大的作用。文章在提出建筑业发展和谐度概念后。从投入产出角度构建了浙江省建筑业发展和谐度评价指标体系。采用数据包络技术分析方法,根据1995～2006年浙江省建筑业相关统计数据,对浙江省建筑业发展和谐程度作出评价。研究数据显示,近10年来,浙江省建筑业产值不仅位于全国前列,而且其投入资源利用的和谐程度也很高;由于DEA方法不需要预先估计参数,在避免主观因素和简化运算、减少误差等方面有着不可低估的优越性,因此将该方法运用到建筑业和谐发展的指导中,具有现实、深远的意义。     

中国商业银行成本效率分析——基于DEA模型和CAMEL评级体系

基于CAMEL评级体系选取用于测算银行成本效率的投入、产出指标,利用DEA方法测算了2008—2014年中国65家商业银行的成本效率,分析了3个投入分解项的实际投入量与理想投入量的差异,并根据DEA方法中的规模报酬判断定理分析了样本银行的规模经济情况。结果表明:中国商业银行的成本效率相对较高;从投入分解项看,成本效率低下主要源于中间业务收入投入无效,其次是利息支出过度消耗;2008—2014年期间国有商业银行的成本效率年均值最高,其次是全国性股份制商业银行,城市商业银行最低;成本效率高的商业银行多处于规模报酬不变状态,成本效率较低的商业银行多处于规模报酬递增状态,成本效率介于两者之间的商业银行多处于规模报酬递减阶段。     

Risk management and dynamic network performance: an illustration using a dual banking system

This study applies dynamic network data envelopment analysis to compare a dual banking system, namely conventional and Islamic banks, with emphasis on risk measures. Non-oriented, variable return-to-scale dynamic network slacks-based measure is used to model the banking performance for the period 2008–2012. Under the consideration of risk measures, the findings highlight that Islamic banks excel in managerial efficiency while conventional banks surpass in profitability efficiency. Furthermore, the regression results find that the number of directors on the risk management committee has a positive impact on banking performance. Meanwhile, the high number of independent directors improves the profitability efficiency but worsens the managerial efficiency.     

中国主要城市旅游效率影响因素的演化

对不同时期影响中国城市旅游效率的因素进行分析有助于资源投入方式的优化和利用能力的提高.利用数据包络分析方法(Data Envelopment Analysis,以下简称DEA),在对1995、2000、2005年58个中国主要城市旅游效率进行计算和分解的基础上,对三个时期各分解效率对总效率的影响进行了判定和度量.研究结果显示:规模效率对总效率的影响最大、技术效率和利用效率对总效率的影响相对较弱,且这种影响关系并没有随着时间的变化而发牛较大变化.从我国城市旅游发展所处的阶段特征出发,认为区域经济不平衡性,城市旅游资源投入规模的差异是导致以上特征的根本原因.文章最后讨论了不同区域提高城市旅游发展效率的途径.     

Does decentralization contribute to efficiency? Evidence from OECD countries

This article provides evidence on the relationship between fiscal decentralization and technical efficiency. We begin the first stage of this study with a data envelopment analysis to obtain technical efficiency estimates for a sample of 23 OECD countries over the period 1992–2009. In a second stage, we explore the effects of fiscal decentralization and other control variables on technical efficiency. The results including all the control variables reveal a statistically significant negative relationship between fiscal decentralization of public expenditure and technical efficiency.     

基于DEA的城市循环经济运行效率分析

城市循环经济运行效率是城市可持续发展、建设和谐社会的综合度量,是当今社会研究的热点问题。本文运用数据包络分析模型对城市循环经济运行效率进行了分析,并根据计算结果提出相应的城市化推进策略,为相关政府部门的战略决策提供理论依据。     

中国大陆社会保障支出水平与效率评价——基于DEA模型的实证分析

运用聚类分析和数据包络分析方法对中国大陆中的27个省份地区的社会保障支出水平与效率进行实证研究,结果表明：中国大陆社会保障支出水平相似的地区,社会保障支出效率呈现出了明显的差异性,一般情况下,社会保障支出效率高的地区多集中在经济水平较高的地区。因此,应运用经济手段,建立相应的激励机制,不断完善中国大陆多层次的社会保障制度体系。     

关于我国商业银行效率影响因素的分析

运用多元回归分析的方法,对2006年我国商业银行效率的影响因素进行了分析。在回归分析中,首先,选取了代表商业银行产权结构、商业银行的规模、资本结构以及资产质量的指标作为解释变量,以我国商业银行效率建立模型。其次,以2006年我国12家商业银行为样本进行回归分析,在回归分析中为了避免多重共线性,采用了逐步回归的方法。最后,得出产权结构是影响我国商业银行效率的最重要因素,并提出了改善我国商业银行效率的政策建议。     

收益递增与中国工业经济资本积累

中国工业资本生产率和资本利润率数据显示,中国工业资本积累处于收益递增时期,计量研究结果也支撑了这一判断。从中国经济发展进程看,技术进步、人力资本增长、制度变迁、政府服务的外溢效应、二元经济结构转变等因素成为工业部门规模收益递增的源泉。未来一段时期内工业部门投资需求仍会很强烈,直到大规模工业化阶段由技术进步和制度变革等带来递增收益释放完毕。     

中国商业银行竞争力及影响因素分析:2002—2009年

本文选取中国14家上市商业银行作为研究对象,利用2002—2009年的数据,通过定义社会生产效率、服务效率、盈利效率和成长效率,研究中国银行业的整体效率、效率值动态变化和各银行的效率情况。结果表明,四大国有控股商业银行与一般股份制银行和城市商业银行相比,其社会生产效率、盈利效率过低,但如果将投入变量中的员工数目换为工资薪酬,国有控股商业银行的效率则有很大提升;股权结构会影响效率值,但国有股与效率值不一定负相关,而外资股和效率值正相关,只对于生产效率成立,对于服务效率和盈利效率刚好相反。     

技术进步与区域能源需求——基于省际数据的实证分析

本文利用数据包络分析（DEA）测算了1995年～2007年中国29个省（自治区、直辖市）Malmquist生产率指数,将全要素生产率（TFP）作为度量技术进步的指标,在此基础上,运用面板数据检验了技术进步对区域能源需求的影响。结果表明,不管是东部地区还是中部和西部地区,技术进步均对能源需求有显著负效应;技术进步对降低能源需求的作用表现出东部最高、中部次之、西部最低的特点。各个地区不同的经济基础、能源资源禀赋和对外开放度可能是造成该现象的主要原因。     

基于DEA的河南地市经济发展分析

数据包络分析方法（DEA）是一种评价具有相同类型投入和产出的若干个生产或非生产部门（决策单元）相对效率的有效方法,可用于评价区域经济综合发展。运用数据包络分析方法,通过建立具体的指标体系、模型运算,对河南省18个地市的经济效益进行了实证研究。根据技术效率相对有效性和规模效率相对有效性分析结果,提出发展河南省地市经济的建议。     

数据包络分析方法在我国区域技术创新能力研究中的应用

本文利用DEA理论与方法,在计算机的支持下,通过理论分析、实证研究和比较分析,提出了基于数据包络分析的区域技术创新能力评价模型和评价指标体系;并利用相关数据,分析研究了我国区域技术创新的现状,并提出了我国各大区域的发展策略。     

Has regulatory reform had any impact on bank efficiency in Indonesia? A two-stage analysis

More than a decade following the severe economic crisis 1997, Indonesia has undergone major regulatory changes in its banking industry. This article examines the impact of these regulatory changes on the relative technical efficiency (TE) of the Indonesian banking industry employing data envelopment analysis (DEA) and censored Tobit regression model. Additionally, the bootstrap approach of Simar and Wilson is employed to provide statistical properties to the DEA efficiency score. The findings show that the industry on average is inefficient over the period of analysis. Also, state-owned and foreign-owned banks are found to be more efficient than any other group of banks. Finally, the impact of regulatory reforms is generally positive and statistically significant.     

基于省际面板数据及DEA的区域创新效率研究

基于2003—2007年我国30个省市自治区的创新投入产出数据以及DEA方法,本文测度了我国各省市自治区的区域创新效率,并检验了我国区域创新效率的总体趋势以及东中西部创新效率的差异。结果表明:我国区域创新效率总体水平不高且呈现下降的趋势。其中,我国区域创新要素投入冗余严重,表现为科技活动内部支出与科技活动人员投入比例失衡;综合效率、纯技术效率在东部、中部与西部之间差异显著,而规模效率在三大区域间的差异却并不明显。