Non‐Parametric Modelling of CO2 Emission Quota

Dutch glasshouse firms are facing the introduction of a system of tradable CO₂ emission quotas. This paper employs a non‐parametric method for modelling tradable CO₂ emissions of Dutch glasshouse firms. The method is capable of generating shifts in CO₂ emissions across the sample of firms. Moreover, changes in volumes of outputs produced and inputs used are computed. Results show that firms using a conventional heating technology will be net purchasers of CO₂ emissions, whereas firms using more advanced heating technologies will sell part of their emission quota.     

An assessment of the economic and environmental potential of biomass production in an agricultural region

The establishment of deep-rooted perennial species and their processing for biomass-based products such as renewable energy can have benefits for both local and global scale environmental objectives. In this study, we assess the potential economic viability of biomass production in the South Australian River Murray Corridor and quantify the resultant benefits for local and global scale environmental objectives. We model the spatial distribution of economically viable biomass production in a Geographic Information System and quantify the model sensitivity and uncertainty using Monte Carlo analysis. The total potentially viable area for biomass production under the Most Likely Scenario is 360,728 ha (57.7% of the dryland agricultural area), producing over 3 million tonnes of green biomass per annum, with a total Net Present Value over 100 years of A$ 88 million. The salinity in the River Murray could be reduced by 2.65 EC (μS/cm) over a 100-year timeframe, and over 96,000 ha of land with high wind erosion potential could be stabilised over a much shorter period. With sufficient generating capacity, our Most Likely Scenario suggests that economically viable biomass production could reduce carbon emissions by over 1.7 million tonnes per annum through the production of renewable energy and a reduced reliance on coal-based electricity generation. Our analyses suggest that biomass production is a potentially viable alternative agricultural system that can have substantial local scale environmental benefits with complimentary global scale benefits for climate change mitigation.     

竹农技术创新参与意愿的博弈分析

在假定竹农、科研机构都是理性人的基础上,分析了竹农参与技术创新所带来的参与成本、参与收益,并引入概率,对参与决策进行了博弈分析。认为在市场机制的作用和政府的扶持下,当竹农或科研机构对自己的参与收益达到一定综合概率时,竹农或科研机构就愿意参与技术创新。     

退耕还林工程与循环经济模式——云南省鹤庆县研究报告

以循环经济理论为基础,提出蚕-沼-桑的循环经济模式。阐述模式的构建并对其进行了可行性分析;运用盈亏平衡分析方法对种桑养蚕成本与收益进行分析;对蚕-沼-桑循环经济模式进行了效益评价;提出了相关建议。     

加强“三北”防护林工程资金管理的思路与对策

介绍了三北防护林现行投入机制、资金管理状况及使用效益,提出今后加强资金管理的基本思路、遵循原则和建设重点,并针对存在的问题提出加强资金管理的对策。     

技术创新系统分析

加强技术创新,发展高科技,实现产业化是我国实现跨世纪发展的战略目标。技术创新是一个企业、一个国家保持持续增长的关键,它包括产品创新、工艺创新和服务创新。管理创新（包括制度创新和组织创新）对技术创新起支撑作用;市场创新推动和促进技术创新;观念、教育、知识创新是技术创新的基础和源泉。创新系统相互作用,为技术创新提供了良好的外部环境。     

论上市公司利润质量之综合评价

利润质量这一概念 ,在上市公司财务会计报告分析中十分重要。随着我国证券市场不断完善 ,上市公司数量日益增多 ,对上市公司利润质量进行监控和分析非常重要。文章对利润质量的影响因素 ,以及它与三大财务报表的关系作综合性评价 ,并应用AHP法(即层次分析法)对如何提高利润质量作了实证分析。     

比率分析的应用研究

我国企业财务诊断多局限于比率计算分析,而未将财务管理基本理论融入比率应用之中.为此,我们一是以财务管理的整体目标、职能目标、相关级与操作层目标为导向,引领对应于关键财务比率和辅助财务比率,以揭示理财目标与财务比率问的内在联系;二是提出按需选择财务比率时,应结合使用财务状态指标,以增强针对性;三是借助实例说明不同类别财务比率的比较、分解与综合计分的主要用途,以比率分析的综合效果;四是指出财务比率不正常的原因与影响,即列示引起财务比率异常的一般原因和可能的影响,以便进一步发掘深层次问题;五是主张正视财务比率的实用与局限,结合管理原则提出改善措施.     

What determines the efficiency of Australian mining companies?

We examine the firm‐specific determinants of technical efficiency in Australian mining companies using data envelopment analysis (DEA). To do so, we employ panel data sourced from individual mining companies listed on the Australian Securities Exchange (ASX) over the period 2010–2014. To ensure valid statistical inference in the presence of serial correlation between DEA efficiency scores, we apply Simar and Wilson's two‐stage bootstrap method. We find that ownership concentration, firm size, firm age, product portfolio, product diversification and growth status significantly contribute to efficiency gains. However, other firm‐specific factors, such as capacity utilisation, financial risk and overseas operations appear to have limited impact on the technical efficiency of mining firms.     

Impact of agricultural innovation adoption: a meta‐analysis

The impacts of adopting agricultural innovation and technology are widely examined. This paper synthesises 154 studies, which yielded a total of 600 estimates of the impact of adopting agricultural innovation and technology on production, social and economic outcomes. Using meta‐regression analysis, the empirical results show that the reported impact of adopting agricultural innovation and technology rises significantly over time, notwithstanding a significant publication bias. Whether studies find significant impacts of adopting agricultural innovation and technology depends on the use of experimental research designs, parametric method, endogenous switching regression and region. Our results show a large bias in the literature towards agricultural innovations and technologies that focus on high‐yielding varieties and thus, neglect other forms of complementary innovations and technologies.