中国环境保护的政策框架及其投资重点

本文分析了中国环境面临的严峻挑战 ,论述了中国环境政策框架的演变和完善过程 ,介绍了中国环境保护的投资重点。     

技术进步路径选择与中国制造业出口隐含碳排放强度

本文采用考虑反馈性出口隐含碳的MRIO模型,测算了2000—2011年中国14个制造业行业出口隐含碳排放强度;在此基础上,基于全球价值链(GVC)分工地位的视角,理论分析并实证检验了不同技术进步路径对中国制造业出口隐含碳排放强度的影响。研究发现:中间品进口、自主研发、模仿创新显著降低了中国制造业出口隐含碳排放强度,而国外技术引进和外商直接投资(FDI)对中国制造业出口隐含碳排放强度的影响不显著;提升中国制造业在GVC中的国际分工地位能够显著降低其出口隐含碳排放强度。进一步研究发现,不同技术进步路径对中国制造业出口隐含碳排放强度的作用效果受到制造业在GVC中的国际分工地位的影响,并表现出明显的门槛特征,即只有中国制造业在GVC中的分工地位越过门槛值后,技术进步路径才能显著降低中国制造业出口隐含碳排放强度。此外,将制造业分为知识密集型、资本密集型和劳动密集型三类,发现不同技术进步路径对中国制造业出口隐含碳排放强度还存在着显著的行业差异。因此,中国制造业应充分发挥中间品进口、自主研发、模仿创新在降低中国制造业出口隐含碳排放强度中的作用,在引进FDI和国外技术的过程中,优先考虑引进发达国家的先进低碳制造技术和清洁生产技术。同时,中国制造业还应积极培育自身竞争优势,构建自我主导的国内价值链和区域价值链体系,主动嵌入全球创新链,提升中国制造业在GVC中的国际分工地位。此外,政府应根据技术创新和引进政策在不同制造业行业中的执行效果,有所侧重地制定和实施相关政策。     

沿海发达地区土地利用研究新进展与方向

土地资源的短缺、质量退化与低效利用．已成为影响沿海发达地区生态安全与可持续发展的重要制约因素，也是土地利用管理与规划决策所面临的现实难题。我国沿海经济发达地区作为人地矛盾激化和经济快速转型背景下特殊的人文生态脆弱区，受到了包括地理学、生态学、经济学和社会学等多学科学者的密切关注，尤其是近10多年来在沿海土地利用变化及其效应研究方面取得了丰硕成果。主要以土地科学研究新方向和沿海地区经济社会发展态势为基本背景．从土地利用类型及其转换格局、驱动力因素辨识与驱动机制、土地利用转换的效应、区域土地可持续利用．以及土地利用优化配置与调控等方面，对沿海地区土地利用研究进行了初步梳理和评述，并指出今后应重视深化沿海发达地区土地利用研究的9个重点问题。     

乡镇垃圾分类循环利用现状——以闽侯县上街镇为例

由于我国乡镇经济的迅速发展以及乡镇村民生活水平加速提高,乡镇的垃圾种类及数量趋向于城市.乡镇村民居住较为分散,垃圾分类、收集、循环利用相较于城市困难,因此推进乡镇垃圾分类循环利用迫在眉睫.本文从闽侯县上街镇展开调查,以乡镇垃圾分类、回收循环利用为关键词展开分析,并从上街镇垃圾分类循环利用模式存在的问题进行分析、总结和建...     

Dynamics of local governance in natural resource conservation in the Okavango Delta,Botswana

There has been a shift in natural resource management worldwide. This paper describes how modern institutions and policies influence management and shape access to and utilization of resources by rural communities in the Okavango Delta, Botswana. It is rooted in the framework of adaptive co‐governance within social‐ecological systems, and employs a critical literature review to analyse access to and use of natural resources in rural Botswana. Prior to the establishment of community‐based natural resource management (CBNRM) in Botswana in 1989, resource governance was dominated by strong traditional institutions that were responsible for natural resource management and decision‐making. Contemporary natural resource governance is characterized by a bureaucratic system that invariably undermines the role of traditional institutions in natural resource governance. Findings indicate that policies and regulatory instruments deny rural communities adequate access to and utilization of resources available within their immediate environment. In spite of an orientation towards an anthropocentric approach to natural resource management (as in the case of CBNRM), the current governance system continues to undermine the inclusion of local resource users as legitimate stakeholders in the decision‐making process.     

Optimizing mixture properties of biodiesel production using genetic algorithm-based evolutionary support vector machine

Nowadays, biodiesel is used as one of the alternative renewable energy due to the increasing energy demand. However, optimum production of biodiesel still requires a huge number of expensive and time-consuming laboratory tests. To address the problem, this research develops a novel Genetic Algorithm-based Evolutionary Support Vector Machine (GA-ESIM). The GA-ESIM is an Artificial Intelligence (AI)-based tool that combines K-means Chaotic Genetic Algorithm (KCGA) and Evolutionary Support Vector Machine Inference Model (ESIM). The ESIM is utilized as a supervised learning technique to establish a highly accurate prediction model between the input--output of biodiesel mixture properties; and the KCGA is used to perform the simulation to obtain the optimum mixture properties based on the prediction model. A real biodiesel experimental data is provided to validate the GA-ESIM performance. Our simulation results demonstrate that the GA-ESIM establishes a prediction model with better accuracy than other AI-based tool and thus obtains the mixture properties with the biodiesel yield of 99.9%, higher than the best experimental data record, 97.4%.     

The in vitro effect of selected essential oils on the growth and mycotoxin production of Aspergillus species

The aim of the present study was to assess the antifungal and anti-toxinogenic activity of 15 essential oils (EOs) against three fungi of the genus Aspergillus (A. parasiticus KMi-227-LR, A. parasiticus KMi-220-LR and A. flavus KMi-202-LR). The minimum inhibitory doses (MIDs) of the tested essential oils and their antifungal activity were determined using the micro-atmosphere method. The original commercial essential oil samples of Jasminum officinale L., Thymus vulgaris L., Syzygium aromaticum (L.) Merrill &; Perry, Rosmarinus officinalis L., Ocimum basilicum L., Eucalyptus globulus Labill., Salvia officinalis L., Citrus limon (L.) Burm, Origanum vulgare L., Lavandula angustifolia Mill., Carum carvi L., Citrus sinensis (L.) Osbeck., Zingiber officinalis Rosc., Mentha piperita L. and Cinnamomum zeylanicum Nees. (C. verum J.S.Presl.) were produced in Slovakia (Calendula a.s., Nová ?ubovňa, Slovakia). All essential oils exhibited activity against all tested strains of fungi. After 14 days of incubation, A. flavus (KMi-202-LR) showed the highest susceptibility with a growth inhibition percentage (GIP) of 18.70% to C. limon and 5.92% to C. sinensis, while A. parasiticus (KMi-220-LR) exhibited a GIP of 20.56% to J. officinale. The minimum inhibitory doses (MIDs) of EOs with the most significant activity were recorded. The best antifungal activity, using the micro-atmosphere method was found in S. aromaticum with an MID of 62.5 μL L^?1 air, T. vulgaris (MID of 62.5 μL L^?1 air) and O. vulgare (MID of 31.5 μL L^?1 air) against all tested strains. Mycotoxin production of the tested strains was evaluated by the thin layer chromatography (TLC) method. Mycotoxin production of AFB₁ and AFG₁ was inhibited following all treatments with C. carvi, R. officinale and S. officinale, Eucalyptus globulus L. and O. basilicum L. Essential oils exhibited a potential inhibition activity against toxic fungi, although, these affected only the production of AFB₁.     

农地整理项目农户耕地损失补偿额度的实证研究——基于耕地资源价值与农户受偿意愿

从耕地资源价值出发,测算农地整理项目农户耕地损失补偿额度,并基于湖北省孝感市和潜江市的农户调查数据分析农户的受偿意愿及其影响因素。研究表明:基于耕地资源价值体系,测算得到孝感市和潜江市农地整理项目农户耕地损失补偿额度分别为1 449 695.76、1 784 296.17元/hm~2;农户所期望得到的耕地损失补偿标准远低于耕地资源价值体系测算出来的理论值,两市农户对耕地损失的平均受偿意愿额度为336 197.95元/hm~2,可以农户受偿意愿为主、耕地农业生产价值和社会保障价值为辅,制定农地整理项目农户耕地损失补偿标准;受教育程度对补偿标准有显著负向影响,农户文化程度的提高有助于提高其对农地整理事业的认知程度,进而促进我国农地整理事业的发展;土地权属调整是解决农户耕地损失的一项重要措施,做好农地整理项目土地权属调整工作需充分尊重农户的意愿,并以农业现代化作为土地权属调整的目标。     

“结构—行为—绩效”框架下农地整理的管护绩效研究

在分析农地整理建后管护基本内涵的基础上开发了农民满意度绩效量表,引入新制度经济学领域"结构—行为—绩效"(SCP)范式,构建农地整理建后管护的"组织结构—管护行为—管护绩效"的分析框架。以湖北省赤壁市黄盖湖农场和嘉鱼县潘家湾镇为研究区域开展实证研究,通过比率标度法和熵权法生成绩效测度的组合权重并得到满意度绩效,运用调查数据检验建后管护的组织结构和管护行为对管护绩效的影响机理,分析组织结构的工作职能、成长机制以及管护行为中的集体行为和个体行为的影响程度。研究结果显示:受访农民对农地整理的管护绩效评价接近于"一般",企业管护模式下黄盖湖农场和集体管护模式下潘家湾镇的管护绩效存在显著的地区差异;表征管护组织持续发展状态、内部结构完善程度的组织结构类变量以及表征管护资金投入、受益农民群体参与程度的管护行为类变量是显著影响管护绩效的解释变量;黄盖湖农场企业化经营的组织结构、潘家湾镇的综合治理改革以及受到县级财政专项支持等外部要素是造成农地整理管护绩效差异的主要原因。研究结论验证了农地整理建后管护SCP分析框架的有效性,为提升农地整理管护绩效提供了理论依据。     

江苏省沿江开发区空间分工、制造业集聚与转移

基于新经济地理学相关理论,针对江苏省沿江开发战略实施以后,制造业空间可能存在的变动,在整理和分析调查问卷资料的基础上,选择专业化指数和基尼系数2种方法来定量分析江苏省21个沿江省级以上开发区空间分工、制造业集聚和转移态势。结果表明：（1）2002~2006年江南沿江开发区通过向江北沿江开发区转移部分传统产业,逐渐形成了江南沿江技术/资本密集型制造业“中心”和江北沿江劳动密集型制造业“外围”的空间分工格局;（2）江南沿江开发区内部、江北沿江开发区内部尚未形成良好的分工关系;（3）受开发区发展阶段、区域产业政策、本地化资源供给和市场需求等因素影响,并未发现理论预期的普遍存在的产业集聚现象,仅纺织服装、石化、电力、塑料橡胶等产业呈现集中趋势.