高速公路对陕西省经济发展影响的定量分析

高速公路所产生的社会经济效益是高速公路作为社会公共交通基础设施所具有的外部性特征的一种体现,对其作用和影响展开的研究和评价是高速公路网规划及建设项目决策的重要前提和依据。文章以高速公对路社会经济发展影响评价方法的一种(投入产出法)为基础,通过对直接效益、诱导效益、产出效益等效益贡献的测算,分析高速公路对陕西省经济发展的影响。     

中国高等教育发展水平的空间差异研究

在我国高等教育快速发展的同时，高等教育区域发展不均衡、资源配置不公平等现象越来越突出。采用熵权法从教育规模、经费投入、基础设施和师资力量四个维度构建地区高等教育综合发展指数，对2004—2013年我国地区高等教育发展水平进行全局空间自相关分析、局部空间自相关分析和三维趋势分析，结果表明：我国高等教育发展水平在总体上呈现显著的空间正相关特征，且空间关联性逐渐增强；虽然落后地区与发达地区的差距有所减小，但高等教育发展的空间异质性明显，落后地区仍然占很大比重。因此，我国高等教育发达地区未能有效发挥空间辐射和带动作用，空间溢出效应不明显，高等教育发展的空间结构有待改善。国家应避免高等教育区域差距继续拉大，落后地区应加快高等教育发展，发达地区应有效发挥辐射带动作用，努力缩小高等教育的空间差距。     

试论提高外语产出能力的方法

本文从一份调查评估报告入手,分析了造成我国外语学习者熟练程度低的主要原因,并从调整教学目标、改革教学内容、加大语言输入、增强输入内容的实用性和加强语言输出等方面探讨了提高外语产出能力和加强熟练度的种种途径。     

农业投入与农业增长的灰色关联分析

运用灰色系统理论建立关联分析模型,对中国1981年～2008年间农业增长及其影响因素：农作物播种面积、农业劳动力、政府财政支农、农业贷款、农机总动力以及化肥使用量等因素进行了定量分析,认为农业投资、农机总动力和化肥使用量是促进中国农业增长的关键性生产要素,并提出了加快我国农业机械化进程,加强政府财政支农投资力度等提高我国农业生产能力的政策建议。     

The contribution of genetics to milk composition: evidence from Spain

This article focuses on the role that genetic progress may play in improving milk quality. Despite important genetic advances in dairy production, the absence of genetic records in farm management databases has precluded empirical production models from explicitly accounting for differences in genetics across herds. The influence of genetics on milk composition is analyzed by splitting milk production into protein, fat, and other components. The article explores some modeling issues associated with the specification of the effect of genetics in this multi‐output technology framework. In particular, genetic indexes are considered as allocable inputs and the remaining inputs as nonallocable. Our results show that genetics have a significant impact on milk composition. In particular, we find that farmers’ income increases by 6.6% when genetic indexes are augmented by one sample standard deviation.     

Structural change and blurred sectoral boundaries: assessing the extent to which knowledge-intensive business services satisfy manufacturing final demand in Western countries

This paper focuses on the vertical integration of knowledge-intensive business services (KIBS) into manufacturing sectors, using a subsystem approach to input–output analysis. It aims at correctly assessing the process of structural change that has occurred in the four main European countries (France, Germany, Italy and the UK) over time (1995–2005). It does not focus on KIBS sectors per se, but on their function as carriers and sources of knowledge which influences the performance of sectors, value chains and clusters across industries and within countries. The analysis shows that KIBS’ contribution to satisfying the final demand of manufacturing is in general largely underestimated; that KIBS vertical integration into manufacturing has increased over time in all the countries investigated except the UK; and that the extent to which manufacturing sectors outsource to KIBS is significantly affected by their technological intensity.     

Intensidad en empleo a largo plazo del crecimiento del producto sectorial en Túnez

Se examina la capacidad a largo plazo de Túnez de generar empleo. Con datos de panel de 15 sectores económicos de 1983–2010, los autores estiman sus elasticidades producto‐empleo a largo plazo utilizando el estimador de media grupal. Según sus resultados, la política económica debería orientarse a los sectores más intensivos en empleo: servicios y manufacturas exportadoras. Destaca la incapacidad del sector minero de absorber mano de obra, por lo que la inversión en el mismo no será productiva; asimismo, el crecimiento sin empleo a largo plazo de la hotelería y restauración induce a pensar que deberían fomentarse más las actividades paraturísticas que las turísticas.     

SENSITIVITY AND UNCERTAINTY ANALYSIS IN MRIO MODELLING; SOME EMPIRICAL RESULTS WITH REGARD TO THE DUTCH CARBON FOOTPRINT

Environmental multi-regional input–output (MRIO) models require large amounts of data that all have their specific uncertainties. This paper presents a sensitivity and uncertainty analysis in order to gain an understanding of the directions in which efforts should be made to reduce these uncertainties. The analyses were carried out for an MRIO model to calculate the Dutch carbon footprint. A sensitivity analysis of the technical coefficients showed that changes in the coefficients in the domestic blocks and in the Dutch import blocks had the largest effects on the calculated footprint. The uncertainty analysis consisting of a Monte Carlo simulation based on probability distributions around the model coefficients showed a relatively low degree of uncertainty in the total Dutch carbon footprint; uncertainties in the carbon emissions allocated to regions, sectors and products were larger. Both analyses showed that, in certain cases, it is justified to apply a partial MRIO analysis.     

Facilitating public participation in tourism planning on American Indian reservations: A case study involving the Nominal Group Technique

Tourism is frequently cited as a tool by which American Indians can strengthen the economies of their reservations. However, successful tourism development on such reservations requires effective tourism planning, and effective tourism planning requires public participation in the planning process. The Nominal Group Technique (NGT) has proved to be a useful group process in the tourism field but its application to tourism planning on American Indian reservations has been unexplored. This article helps to fill this knowledge gap by reporting on an NGT workshop conducted on the Lake Traverse Reservation of the Sisseton–Wahpeton Oyate (people, nation) in North and South Dakota, USA. Rich information on tourism development possibilities for three lakefront properties was obtained. Possible success factors are discussed and suggestions for conducting similar future workshops on American Indian reservations are advanced.     

普通SBR生物脱氮工艺的效果分析

通过对生产性普通SBR生化反应器的运行数据,结合有关废水处理原理,从有机负荷、混合液悬浮固体(MLSS)、DO的角度进行系统的分析与研究,考察其生物脱氮最佳工艺运行条件。