基于政府利益要求及其实现方式的非财务指标重要程度实证研究

从政府角度出发,对政府所关注的反映其利益要求和实现方式信息的非财务指标的重要程度进行排序研究和分组研究,可以发现:不同类的反映政府利益要求和实现方式信息的非财务指标对政府的重要程度存在显著的差异;政府利益要求和实现方式重要性的大小决定着反映政府利益要求和实现方式信息的非财务指标的重要程度和排列顺序。反映政府利益要求和实现方式信息的非财务指标的重要程度排列顺序同政府所看重的相应利益要求和实现方式的排列先后顺序并不一致。企业因素产生了利益相关者政府间同一类反映其利益要求和实现方式信息的非财务指标重要程度差异。     

浅谈财务分析指标在中小企业中的运用

在竞争日益激烈的市场经济中,经济活动追求实现经济利润最大化的目标。多年来,企业财务分析指标体系作为企业信息分析的重要资源,为企业决策者提供财务分析数据资料,做出科学的决策,把握正确的企业发展方向,实现经济效益最大化的目标,发挥了支撑和保障作用。因此,充实和完善适应现代经济发展需求的中小企业财务分析指标体系就显现出紧迫性和必要性。     

Analyzing the global human appropriation of net primary production — processes, trajectories, implications. An introduction

Humanity's role in shaping patterns and processes in the terrestrial biosphere is large and growing. Most of the earth's fertile land is used more or less intensively by humans for resource extraction, production, transport, consumption and waste deposition or as living space. Biomass production on cropland, grazing areas and in managed forests dominates area requirements, but other processes such as soil degradation, human-induced fires and expansion of settlements and infrastructure play an increasingly important role as well. The growing human domination of terrestrial ecosystems contributes to biodiversity loss as well as to a reduced capability of ecosystems to deliver vital services such as buffering capacity, soil conservation or self-regulation. This special section is devoted to the presentation of recent research into the patterns, determinants and implications of the human appropriation of net primary production (HANPP), an integrated socio-ecological indicator of land use intensity. By measuring the combined effect of land conversion and biomass harvest on the availability of trophic energy (biomass) in ecosystems, HANPP explicitly links natural with socioeconomic processes and allows for integrated analyses of land systems. This introductory article explains the rationale that links current HANPP research to Ecological Economics and discusses issues of definition and methods shared by all articles included in the special section. Finally, it gives an overview of the individual papers, provides some general conclusions and presents an outlook for future research: a better understanding of long-term trajectories of HANPP, of the significance of trade patterns as well as of the future role of bioenergy are highlighted as important issues to be addressed in the coming years.     

Measurement and its Uses: Harmonization and Quality in Social Statistics

The European construction has induced a strong demand of harmonization of statistics of the various countries. The latter can be focused on an harmonization of outputs , already practised for a long time by national accountants: the statistical variables are defined in common, then each country measures them according to its own means. On the other hand, the harmonization of inputs, more ambitious, seeks a standardization of all the construction process and data collection. This leads to distinguish clearly the two moments of use and of production of economic and social statistics. Now the same distinction is made in the debates over the notion of quality of statistics, which contrast the quality of the product with the one of the process. This quality cannot be judged independently from the expected uses of these statistics and of their form of social credibility. From this point of view, the various harmonization levels are compared with the various forms of connection and convertibility between the national currencies.     

Measuring the immeasurable — A survey of sustainability indices

Sustainability indices for countries provide a one-dimensional metric to valuate country-specific information on the three dimensions of sustainable development: economic, environmental, and social conditions. At the policy level, they suggest an unambiguous yardstick against which a country's development can be measured and even a cross-country comparison can be performed. This article reviews the explanatory power of various sustainability indices applied in policy practice. We show that these indices fail to fulfill fundamental scientific requirements making them rather useless if not misleading with respect to policy advice.     

Using Leading Indicators to Forecast U.S. Home Sales in a Bayesian Vector Autoregressive Framework

This article uses Bayesian vector autoregressive models to examine the usefulness of leading indicators in predicting U.S. home sales. The benchmark Bayesian model includes home sales, price of homes, mortgage rate, real personal disposable income, and unemployment rate. We evaluate the forecasting performance of six alternative leading indicators by adding each, in turn, to the benchmark model. Out-of-sample forecast performance over three periods shows that the model that includes building permits authorized consistently produces the most accurate forecasts. Thus, the intention to build in the future provides good information with which to predict U.S. home sales. Another finding suggests that leading indicators with longer leads outperform the short-leading indicators.     

Advancing formative measurement models

Formative measurement models were first introduced in the literature more than forty years ago and the discussion about their methodological contribution has been increasing since the 1990s. However, the use of formative indicators for construct measurement in empirical studies is still scarce. This paper seeks to encourage the thoughtful application of formative models by (a) highlighting the potential consequences of measurement model misspecification, and (b) providing a state-of-the art review of key issues in the formative measurement literature. For the former purpose, this paper summarizes findings of empirical studies investigating the effects of measurement misspecification. For the latter purpose, the article merges contributions in the psychology, management, and marketing literatures to examine a variety of issues concerning the conceptualization, estimation, and validation of formative measurement models. Finally, the article offers some suggestions for future research on formative measurement.     

Regional sustainability: How useful are current tools of sustainability assessment at the regional scale?

Sustainability assessment methods are primarily aimed at global, national or state scales. However, modelling sustainability at finer spatial scales, such as the region, is essential for understanding and achieving sustainability. Regions are emerging as an essential focus for sustainability researchers, natural resource managers and strategic planners working to develop and implement sustainability goals. This paper evaluates the effectiveness of current sustainability assessment methods - ecological footprint, wellbeing assessment, ecosystem health assessment, quality of life and natural resource availability - at the regional scale. Each of these assessment methods are tested using South East Queensland (SEQ) as a case study. It was selected because of its ecological and demographic diversity, its combination of coastal and land management issues, and its urban metropolitan and rural farm and non-farm communities. The applicability of each of these methods to regional assessment was examined using an evaluation criteria matrix, which describes the attributes of an effective method and the characteristics that make these methods useful for regional management and building community capacity to progress sustainability. We found that the methods tested failed to effectively measure progress toward sustainability at the regional scale, demonstrating the need for a new method for assessing regional sustainability.     

高新技术企业并购的动因及协同效应分析——以天泽信息并购深圳有棵树为例

横向并购已经成为企业扩大规模的一项重要举措,众多企业并购的目的之一在于快速获得协同效应,促进企业发展壮大。目前对于企业并购所产生的协同效应,多集中于大样本的实证研究,研究企业也多为制造业。本文基于高新技术企业天泽信息并购深圳有棵树,进行个案分析。     

土地利用规划环境影响评价若干问题探讨

研究目的 :探讨土地利用规划环境影响评价有关问题 ,为土地利用规划修编提供基础。研究方法 :综合分析法。研究结果 :提出了土地利用规划环境影响评价的内涵、基本工作程序、指标体系与评价方法。研究结论 :应深入开展土地利用规划环境影响评价研究 ,尽快出台相关技术规程。