基于PSR模型的北京市西北生态涵养区生态健康评价研究

研究目的:作为保障首都生态环境质量与可持续发展的关键区域,北京市西北生态涵养区的生态健康程度反映了生态文明战略部署下首都高质量发展的综合成效。本文通过构建北京市西北生态涵养区健康评价指标体系,评价该区域的生态健康程度,为生态涵养区的可持续发展提供对策建议。研究方法:PSR模型、层次分析法(AHP)。研究结果:(1)基于PSR模型构建的生态健康评价指标体系包括压力、状态和响应系统3个准则层和10个评价指标,涵盖涵养区自然生态和人类活动影响;(2)研究区4个时段的健康指数分别为0.673、0.664、0.650、0.687,生态健康等级为一般。研究结论:北京市西北涵养区生态健康状况较为稳定,在保持西北涵养区建设现有成果的基础上,需要加大生态建设的力度,进一步提高生态健康水平。     

黄河黑山峡大柳树水利枢纽工程功能分析

为了抢抓国家当前高度重视生态文明建设,加强中西部地区重大调水工程建设的历史机遇,加快黄河黑山峡河段开发,梳理分析了黄河黑山峡大柳树水利枢纽工程在黄河调水调沙、水资源配置、区域建设发展等方面的功能作用,分析了相关省区的发展作用并提出损益处理建议,以求多方共赢,共同呼吁国家加快黄河大柳树水利枢纽工程立项建设。     

盐城市水资源承载状态预警研究

在分析水资源承载状态预警概念的基础上,引入"三类六级"预警思想,采用可变模糊法和层次分析法的思想,构建盐城市水资源承载状态综合预警指标体系,评价盐城市2015年、2020年和2030年的水资源承载状态,并结合各年份承载状态变化趋势,对未来年份进行预警。结果表明:盐城市2015年水资源处于临界超载的状态,但随着"关于做好建立全国水资源承载能力监测预警机制工作的通知"等一系列措施的实施,2020年、2030年承载状态将逐步好转,到2030年将处于可载的状态。     

Land use regulation and urban land value: Evidence from China

Land use regulation has always been regarded as one of the most crucial means of macro-control of urban growth, which can affect a city’s land values directly and further determine related urban economic well-being. Since the New Type Urbanization Strategy proposed by the government in 2014, China’s mode of urban growth has been transformed from addressing “quantity” to “quality" in the urbanization process. In this case, the regulation of land use by the Chinese government plays a more important role in urban growth. With their planned land regulatory scheme, the various instruments employed by Chinese governments have quite different mechanisms influencing land prices. However, there are no rigorous studies focusing on the land use regulation system and its impact on land values to date, particular in China. This study seeks to explore how land use regulation affects urban land values through the systematic lens. We summarize the main land use regulatory instruments based on the analysis of China’s planned land use system and urban land banking system, including the construction land quota, constraints on the allowed floor area ratio (FAR) of each land transaction parcel, and land supply restrictions. A new dataset based on land transaction data from 2007 to 2016 that covers 286 prefectural cities from the country’s coastal, central, and western regions is used in the empirical analysis. The results show that the effects of the floor area ratio (FAR) on land values are significant and positive, with the residential and commercial land supply ratio being a key factor. Moreover, the results imply that the effects of constraints on FAR and commercial land supply vary between regions. These findings indicate that the Chinese land market is considerably distorted by excessive administrative interventions by local governments, in the stage of urban transition guided, the capable regulatory instruments could play an important role in adjusting urban land prices and hence impact on urban growth.     

Labor migration and the decoupling of the crop-livestock system in a rural mountainous area: Evidence from Chongqing,China

Massive out-migration of rural labor force brings both challenges and opportunities to crop-livestock integrated production system (crop-livestock system) in smallholder economy. Compared with previous researches that have paid major attention to the effect of labor migration on either crop production or livestock husbandry, this study considers the mediating role of crop production in predicting the effect of labor migration on livestock raising. Our econometric estimation based on a 2012 survey of 974 rural households in Chongqing, a mountainous region of China, showed the following. (1) The massive migration of rural labor force had led to significant increase in farmland abandonment and considerable changes in the pattern of livestock raising. (2) The livestock raising number per household began to differentiate, with the livestock system separating from the traditional crop-livestock system and becoming a specialized business. (3) In terms of the pathways through which rural labor migration exerts impact on livestock raising number, though the increased opportunity costs of rural labor greatly reduced farmers’ willingness to raise livestock, the decoupling of the crop-livestock system partly alleviated the declining trend in the livestock raising number because of the availability of household labor force freed from cropping via farmland abandonment. These findings have important policy implications for rural development and agricultural restructuring in mountainous areas of China, and provide references for other developing countries.     

结合新型模糊支持向量机和证据理论的多传感器水质数据融合

在多传感器水质数据融合领域，证据理论是有效的数据融合方法之一，但基本概率分配一般不易确定，从而使数据融合能力难以有效发挥。支持向量机是统计学习理论之上的高级分类算法，具有普适性和全局优化等特点，但输出的基本概率分配有待进一步提高。提出了一种基于证据理论和新型模糊支持向量机相结合的数据融合方法，通过建立基于分类超平面距离的模糊隶属度，训练模糊支持向量机提高传统支持向量机的基本概率分配，并结合证据理论进行海河水质数据融合。通过证据理论分别结合支持向量机和模糊综合评价法与上述方法进行对比实验，经精度、平均绝对百分误差、均方根误差等指标验证，精度提高10.5%，表明所提方法是一种可靠的多传感器的水质融合方法，较其他方法具有更高的融合精度。     

内蒙古黄河干流跨盟市水权试点研究

为了全面总结内蒙古自治区水权试点工作,介绍了内蒙古黄河干流跨盟市水权试点过程中强化行业监管方面的一些做法,总结了试点过程中坚持问题导向、坚持两手发力、强化节水管理、创新体制机制的一些重要经验。     

基于联合分析法的城市住区绿地雨水设施 居民喜好度研究

城市化进程带来如城市内涝等诸多环境问题，使得 海绵城市和低影响开发成为热点。城市住区绿地作为城市绿地 的一个重要类型，既是住区居民重要的景观游憩场地，也是海 绵城市低影响开发的重要海绵体，是兼具径流绩效和景观绩效 等综合绩效的复合设施。如何让雨水设施在发挥径流绩效的同 时兼具满足居民需求的景观绩效，是目前相关研究的难点和热 点。居民喜好度的研究是住区绿地雨水设施景观绩效优化提升 的重要方法之一。通过联合分析法，遴选雨水收集、雨水转 输和雨水调蓄3个环节的源头减排雨水设施，模拟江南住区中 心绿地雨水设施场景收集居民评价，进行不同居民群体的设 施喜好度效用值相关性统计和住区绿地不同类型雨水设施效 用值及相对重要性分析。并通过走访、文献查阅解析所得数 据，为住区绿地雨水设施景观绩效提升和低影响开发设计提 供启示和借鉴。     

浅谈城市河道水环境综合整治

河道水环境对城市生态环境建设有着十分重大的意义。城市河道水环境综合整治正在不断壮大规模,现阶段正在朝着防洪固堤、水质提升、水环境改善方向发展,并且城市河道水环境的综合整治还要求对城市污水排放进行严格化管理,防止生活用水和工业污水对河道造成污染。论文主要对当前城市河道水环境存在的问题进行探讨,并对当前存在的问题提出一些具有针对性的解决措施。     

Inflation,real economic growth and unemployment expectations: an empirical analysis based on the ECB survey of professional forecasters

Expectations are at the centre of modern macroeconomic theory and policymakers. In this article, we examine the predictive ability and the consistency properties of macroeconomic expectations using data of the European Central Bank (ECB) Survey of Professional Forecasters (SPF). In particular, we provide evidence on the properties of forecasts for three key macroeconomic variables: the inflation rate, the growth rate of real gross domestic product and the unemployment rate.