中国住宅出让地价发育特征及其影响因素分析

基于中国土地市场网2009~2013年招、拍、挂出让的住宅用地数据,以县级行政区域作为研究单元,建立区域住宅地价综合模型,选取地价水平、地价增长率和交易宗数作为评价指标,采用Ward系统聚类法,综合分析了中国住宅出让地价的发育特征,利用多分类Logistic回归模型探索了各类地价发育形态的潜在影响因素。结果表明：① 研究期内中国住宅出让地价总体呈现东高西低、沿海高于内陆、城市群带动周边区域发展、城市群内部围绕中心城市增长等空间格局特征;中西部地价高增长的单元多于东部,西北、东北中南部、四川盆地、河西走廊以及长江中下游地区是地价高增长的聚集区;住宅市场活跃度呈阶梯状变化,活跃度较高的地区主要分布在山东半岛、长三角、长江中游、辽宁中部、哈尔滨、成渝、滇中、呼包鄂等城市群。② 根据综合特征,中国住宅出让地价空间发育可分为成熟稳健型、发展完善型、成长发展型、萌芽起步型和成长受阻型5类,相邻发育形态在空间关系上表现出互为邻里的特征。③ 各类发育区的主要影响因素差异显著。区位条件、居民收入和财政收入是地价发育成熟度的主要影响因素;人均GDP、国土开发度提升将促进地价形态发育程度;而人口吸引力不足、基础设施建设相对滞后等将导致地价形态发育受阻。     

Economic dimension of the collapse of the ‘false cod’ Epinephelus aeneus in a context of ineffective management of the small-scale fisheries in Senegal

Small-scale fisheries are often seen as a solution for ensuring sustainability in marine exploitation. They are viewed as a suitable alternative to industrial fisheries, particularly when considering their social and economic importance in developing countries. Here, we show that the booming small-scale fishery sector in Senegal, in the context of increasing foreign demand, has induced the collapse of one of the most emblematic West African marine fish species, a large grouper Epinephelus aeneus, historically called ‘false cod’ by European fishers. The overexploitation of this species appears to be on account of the increasing effort sustained by a growing international demand and important subsidies, which resulted in a relative stability of the average economic yield per fishing trip and an incentive for continuing targeting this species to almost extinction. It is a critical time for addressing and mitigating the pressure of the small-scale fisheries to prevent declines of fish species that are highly valued by northern markets. A balance between conservation and exploitation is necessary to maintain ecological viability while considering the socio-economic importance of the small-scale fisheries. However, a new strategy is needed for conservation that will consider and articulate simultaneously the concerns regarding unmanaged and growing small-scale fisheries, rampant subsidies and increasing foreign demand.     

南京城市住宅“售租比”时空格局与分异机理

“售租比”是国内外学者测度房价健康水平或泡沫风险的关键指标之一。利用中国房价行情平台提供的南京居住小区2009~2017年期间分季度平均售租价格信息,采用GIS空间分析等方法,考察南京中心城区“售租比”空间格局与演变过程。研究发现：① 城市整体“售租比”随房价波动变化明显,2016~2017年间快速增长;② 分异度先降后升,以城区内部差异为主,城区间差异越来越小;③ 高“售租比”小区多集聚于河西新城、江北新区等房价增速较快的投资热点区域。南京住宅“售租比”过快上升和空间离散加剧,意味着城市房价快速增长的合理性在降低。从地租视角解读,绝对地租决定着城市整体“售租比”的高低,级差地租和垄断地租则影响着城市内部“售租比”的空间分异。“售租比”可为判断城市内部房价相对合理性提供重要依据,但能否通过该指标准确预判城市房价风险程度及空间格局尚有待深入研究。     

公共服务设施可达性及其对新建住房价格的影响——以北京中心城为例

本文基于北京市公共服务设施的地理空间信息数据, 采用最短距离指标定量分析了商品 住房对教育、医疗、体育、文化、商业、绿地公园等6 大类公共服务设施的空间可达性( 以下简称 “可达性”) , 并通过Hedonic 特征价格模型定量分析可达性对商品住房价格的影响。研究结果表 明: 1) 按照“最短距离”可达性比较, 商品住房对绿地公园、医院和健身场所可达性最好, 而对大型 商场、文化设施、体育场馆的可达性较差; 2) 按照商品住房的区位和价格比较, 城市四环以内和高 价商品住房组别对公共服务设施的可达性明显优于其它组别; 3) 特征价格模型的定量分析表明, 重点高中、球类场馆、文化设施和绿地公园这4 种公共服务设施的可达性越好, 则商品住房价格 越高, 即目前北京市公共服务设施的规划布局在一定程度上被资本化入商品住房价格。     

Unraveling the multi-scalar residential segregation and socio-spatial differentiation in China: A comparative study based on Nanjing and Hangzhou

Residential segregation is a dual process of socio-spatial differentiation in residents and spatio-temporal heterogeneity in dwelling.However,most of the existing studies are es-tablished from the single perspective of urban residents based on demographic data,which is difficult to reveal the dynamics and complex spatial reconstruction within and between cities.With the characteristics of both stability and timeliness,the rapidly changing housing market is one of the processes and results of socio-spatial reconfiguration,and it is undoubtedly a better lens to observe residential segregation.This paper adopts methods such as multi-group segregation index,multi-scalar segregation profiles,and decomposition of segregation index,with Nanjing and Hangzhou as case cities,and establishes multi-scalar segregation profiles and comparative models based on three geographical scales of census tract,block and grid,and different residential types.A quantitative study was conducted on the degree and pattern of multi-scalar residential segregation in Nanjing and Hangzhou from 2009 to 2018.The pa-per found that the spatial segregation index is an improvement of the non-spatial segregation index.There are differences between Nanjing and Hangzhou in the evolution process of residential segregation.Nanjing has a higher degree of spatial differentiation as a whole,among which spatial components have a more significant impact.     

北京市铁矿资源形势及找矿方向

目前,我国年钢铁产量快速增长,造成市场上铁矿石供小于求,价格快速上扬。铁矿为北京市允许开采矿种,保有储量仅2亿吨,可供现有铁矿山开采35年,因此应加大铁矿资源的勘查力度,增添新的矿产地,满足钢铁生产的需求。北京密云、怀柔北部山区的变质岩中鞍山式铁矿石,为主要找矿方向。     

后危机时代矿产品价格趋势分析

通过对近50年来石油、铜、铝、镍价格变化趋势分析,总结了矿产品价格长周期变化规律:不变价格呈周期性下降趋势,现价价格呈台阶状上升趋势.铜、铝、镍不变价格的绝对下降反映了人类技术进步带来生产效率的不断提高,而石油不变价格的上升反映了资源稀缺程度对石油价格的重要影响;由资源稀缺性决定的资源性商品的生产效率难以与其他商品生产效率同步提高,必然以现价价格阶段性上涨实现价格平衡.结合矿产品成本、供需趋势和市场体系分析,判断后金融危机时代矿产品价格平台为:石油60~80美元/桶、铜3500美元/吨、铝2100美元/吨、镍14000美元/吨.     

典型农区农用地承包经营权流转价格及对策研究(英文)

河南既是农业大省又是中国重要的粮食主产区,农用地流转顺畅及适度规模经营对区域经济发展和国家粮食安全产生重要影响。借助于土地使用权评估的基本方法,并使用土地承包经营权的权属特性进行修正,构建了土地承包经营权流转价格模型,并对典型区域沁阳市西万村进行了实证分析。结果表明,土地承包经营权流转价格应该包括经济价格、社会价格和修正价格。价格模型的应用,应甄别理论价格和实际流转费用的区分,农用地流转后经营项目没有转变,流转价格为经济价格和社会保障价格是总和。农用地流转后经营项目发生转变,比如耕地改种经济作物,流转价格则是经济价格、社会价格与修正价格三者的总和。收益分配格局存在复杂性,流转收益应在流出方、流入方、管理者和所有者之间合理、公平分配。政府应建立合理有序的农用地承包经营权流转市场,并以农用地流转市场为载体,构建农用地流转价格体系。     

行业空间配置的线性对偶模式

本文研究诸如钢铁、有色金属、基本化工等一类行业的空间配置。由于韦勃、廖施的理论的一些前提条件在这里不存在，使得他们的研究方法显得十分不足。本文作者建立了具有对偶的线性规划模式来解决这类行业的空间配置。这一对模式的解给出了具有最小行业总成本的配置方案和与之相应的产品和原料在各个区位的影子价格。尤其是作者依据空间价格均衡找出了原模式与对偶模式的解之间的关系，这些关系是行业空间配置优化的效率条件。     

Modeling dynamic assessment of ecosystem services based on remote sensing technology: A sampling of the Gansu grassland ecosystem

The ecosystem is important because it is the life sustaining system for human survival.Three ecosystem characteristics are:regional particularities,ecosystem complexity and conventional cultural particularities.This paper develops a remote sensing based dynamic model to assess grassland ecosystem service values involving multidisciplinary knowledge.The ecological value of grassland ecosystems is focused on using a remote sensing technique in the model,and setting up the framework for a dynamic assessing model.The grassland ecological services condition and value in 1985 is used as the benchmark.The dynamic model has two adjusting indicators:biomass and price index.The biomass is simulated using the CASA(Carnegie-Ames-Stanford Approach) model.The price index was obtained from statistics data published by the statistical bureau.Results show that the grassland ecosystem value in Gansu Province was 28.36 billion Chinese Yuan in 1985,140.37 billion in 1999 and 130.86 billion in 2002.