Assessment of OECD Better Life Index by incorporating public opinion

Well-being has a multidimensional nature as it depends on multifaceted factors such as material conditions and quality of life. The Organization for Economic Co-operation and Development (OECD) has developed the Better Life Index (BLI) as part of the OECD Better Life initiative to facilitate the better understanding of what drives well-being of people. The BLI is a three-level hierarchical composite indicator that covers several socio-economic aspects. In this paper, considering the entire hierarchical structure of the index, we introduce a bottom-up procedure for the aggregation of the components at each level. We formulate the assessment of BLI as a multiple objective programming (MOP) problem that facilitates the implementation of different concepts to derive different aggregation schemes. We incorporate the data from previous years into the normalization process of the indicators, to take into account the discrepancy on their observed values and smooth their deviations across the years. Also, we consider the public opinion about well-being that is captured from the worldwide responses in the web platform of OECD BLI. We incorporate the public opinion into the assessment models in the form of weight restrictions. In this way, we reduce the effect of compensation that might be imposed by the adopted modelling approach. We apply our methodology to the data of 38 countries (35 OECD and 3 non-OECD economies) for the year 2017. Our findings illustrate that the public opinion in the form of weight restrictions can effectively drive the optimization process and depict the collective preferences to the BLI scores.     

Dynamic efficiency evaluation of Italian judicial system using DEA based Malmquist productivity indexes

The aim of this study is the empirical analysis of the Italian judicial system, measuring its efficiency and productivity. For this purpose, in details, the Data Envelopment Analysis (DEA) and Malmquist indexes were used, since they are recognized by the current literature as successful techniques to evaluate the performance of decision making units, namely the courts of law in our field of application.The statistical data on the administration of justice in Italy, as reported in Dossier n. 11 May 2013, Senate Research Services, Research Office on Institutional Issues, Justice and Culture, XVII legislature, shows that the efficiency crisis of justice in Italy began in the 1970s of the last century, aggravating during the ‘80s, and reaching its most critical moment during the 1990s. Several studies emphasize the relevance of the effects of inefficiency upon the judicial system on the credit and financial markets.The present analysis, using data that covers a wide time span and is disaggregated at district level, has set the goal of measuring the efficiency of the individual Italian judicial offices while assessing the progress of productivity in its components, by the means of technological progress and scale efficiency. The efficiency analysis that was carried out transcends the aspect of judicial taxation, considering how the passage of time has impacted on judicial efficiency.Considering the judges and judicial administration employed, in the new, pending and finished cases during the years ranging from 2011 to 2016, the results highlighted a distinct heterogeneity among courts, depending on their geographical location. The five-year period that was considered, included the years in which the judicial geographical distribution reform entered into force, so to better comprehend how this complex reform influenced the recovery of efficiency of the judicial offices. Furthermore, by breaking down the index into change in efficiency and change in technology, this work offers a further glimpse into judiciary organization. The application of combined DEA method and Malmquist indexes for evaluating court efficiency in a large time frame showed very interesting and useful results, relevant for judicial administration.     

基于模糊评价模型的物流管理专业实践教学体系研究

考虑物流管理专业实践教学的特性,从实践环节、创新与创业、管理机制、教学团队等方面构建了实践教学指标体系,并运用模糊综合评价法进行评价分析。研究结论表明,毕业实习、毕业论文、学科竞赛、创新与创业项目对物流管理专业实践教学的影响较大。     

省级区域规划实施评估方法和机制探究

省级区域规划是国家和地方发展和空间规划体系中的重要组成部分。在我国建立更加有效的区域协调发展新机制的实践中,探究我国省级区域规划实施评估中存在的问题,研究和建立更加有效的省级区域规划实施评估的内容、方法和机制,对于进一步落实好省级政府的责任和义务,更好全面、有效实施好省级区域规划具有重要推动作用。文章提出了我国省级区域规划实施评估存在的问题、评估的方法、评估的内容和指标体系,并提出了具体建立更加有效的省级区域规划实施评估机制的建议和设想。     

全球视角下生态系统服务付费的国际经验与评价

将生态系统服务付费(PES)工具分为经济类和非经济类两种,根据生态服务生产者和付费者的支付意愿,进一步细分为双方自愿支付、集体自愿支付、强制双方支付、强制集体支付四种具体的PES制度,通过分类介绍PES机制在全球的各种实践案例,归纳PES机制成功推行的共同点,分析PES系统的社会和环境挑战与由此产生的生物多样性风险之间的关系。     

基于DEA方法的安徽省地方财政科技投入绩效评价

安徽省近年来一直很重视财政科技投入力度,但财政科技投入的逐年增加并没有引导全社会研发投入有相应幅度的增加,这是因为对财政科技投入的效率和产出效果没有专业的评价,导致投入产出效率不高。本文运用数据包络(DEA)方法,通过建立绩效评价指标体系,从横向和纵向两个维度分别对安徽省16个地市和2007-2017年安徽省地方财政科技投入产出进行绩效评价,评价结果显示2007-2017年安徽省地方财政科技投入总体上的投入产出综合效率表现不错,但是分地区的投入效率不够理想。因此建议政府部门优化财政资金管理体系、增加对基础性研究的财政投入、加强对市级财政科技投入的监管等,进一步提高安徽省地方财政科技投入效率。     

基于DEMATEL-ISM-MICMAC法的康养旅游资源评价指标体系研究

康养旅游是现代旅游业和人口老龄化共同作用下产生的新型旅游方式,科学合理地认知康养旅游资源的关键指标及其相互关系,对指导开发决策具有重要意义。首先构建由3个维度、18个指标组成的康养旅游资源评价指标体系,然后运用DEMATEL方法对3个维度中的各指标进行影响关系分析,并通过ISM-MICMAC相结合的方法把康养旅游资源评价的全部指标划分为层级关系和驱动—依赖关系。结论表明资源要素价值、旅游开发条件、环境保护质量3个维度对康养旅游资源评价体系的影响主要体现在各维度指标下的相互关系,在康养旅游资源评价时需要对不同的因素进行不同的考虑。     

基于生态系统服务功能的森林社会效益价值评估——以云南省森林资源为例

森林除了具有经济价值和生态价值外,还具有基于生态系统服务功能所产生的社会效益价值。论文以云南省森林资源为例,采用房地产评估中常用的假设开发法为主要评估方法,结合森林资源所反映的社会效益价值增长特征,运用企业自由现金流量折现模型中的两阶段现金流折现模型,通过构建模型体系,分别从直接社会效益和间接社会效益两个维度对云南省森林资源的社会效益价值进行评估。其中,直接社会效益包括就业价值和景观游憩价值,间接社会效益包括科教价值、历史价值及文化价值,通过模糊综合评判计算各组成部分的不同影响权重得出直接和间接社会效益模型,以多元回归的方法构建森林生态总体社会效益价值模型并计算云南省森林社会效益价值。同时,将各部分价值结果分别与云南省第三产业GDP、人均GDP及云南省GDP进行对比分析,进而对云南省森林社会效益价值现有情况进行评价,并对今后的森林资源开发提出相关建议。     

旅游业—城市化—经济—交通复合系统的耦合协同演化机制 ——以云南省为例

基于云南省16个州(市)的面板数据,运用ArcGIS空间分析、耦合协调度模型等研究方法,从时空视角对云南省旅游业-城市化-经济-交通四个系统的发展水平及其耦合协调发展状况进行了整体评价。结果显示:云南省旅游业、城市化、经济、交通发展水平整体分别提升了48.15%、47.59%、35.91%、46.89%。2005~2017年,云南省各州(市)旅游业-城市化-经济-交通复合系统的耦合协调度呈上升趋势,但87.50%的州(市)仍处于中度耦合失调水平,且空间分异特征显著,形成以昆明为核心的"核心-边缘"梯度递减的空间结构特征,整体呈滇中>滇东南>滇西南>滇西北>滇东北>滇西的空间分布格局。     

基于DEA方法的内外资星级酒店效率评价与差异分析——以东部省份14个城市为例

近年来,酒店投资规模不断扩大,但整体收益却不尽如人意,内外资星级酒店利润率差距明显。应用DEA方法对2011~2016年我国东部省份14个主要城市的内外资星级酒店效率进行评价,研究发现:从综合效率来看,虽然内外资酒店存在差异,但两者总体水平均较高,且两者波动趋势一致;从技术效率来看,外资酒店略高于内资酒店,两者差距不明显,且差距有缩小的趋势;从规模效率来看,内外资酒店均处于较高水平,但两者差距明显;从效率分类来看,不同效率水平下的内外资酒店技术效率和规模效率表现不同。据此,对内外资星级酒店综合效率与影响因素之间的关系进行了进一步研究。