华东某铀矿区稻米中放射性核素铀污染特征及健康风险评价

为查明华东某铀矿区稻米中放射性核素铀污染现状及健康风险问题,测定铀矿区和对照区共136件稻米样品中放射性核素U含量,采用单因子污染指数法评价放射性铀污染,并开展U元素健康风险评价。结果表明:(1)研究区稻米中U含量平均值为1.46 ng·g~(–1),各亚区稻米中U含量平均值从大到小顺序为:开采矿井区水冶场区含矿未采区废弃矿井区江西省背景值对照区;(2)稻米单因子污染指数为1.25,属于轻度污染。其中,开采矿井区和水冶厂区为轻度污染,废弃矿井区和对照区未受污染;(3)首次计算提出江西省大米U元素致癌风险最大斜率系数为1.04×10~3(d·kg)·mg~(–1)。各亚区稻米中成人和儿童致癌风险指数高低顺序均为:开采矿井区水冶厂区含矿未采区废弃矿井区对照区。儿童直接饮食稻米具有一定的致癌风险;开采矿井区和水冶厂区的成人存在一定致癌风险,含矿未采区和废弃矿井区以及对照区均无致癌风险。     

Energy intensity and its determinants in China: an empirical study based on ARDL-VECM approach

The present study aims to better understand the relationship between energy intensity and its determinants including energy price, technological progress, economic structure, and energy mix using the autoregressive distributed lag(ARDL) bounds approach and vector error correction model technique. Based on China's time series over 1985-2014, the ARDL bounds approach yields empirical evidence that confirms the existence of long run relationship between energy price, technological progress, economic structure, energy mix, and energy intensity. The results show that technological progress is an important driver for the declining energy intensity in short and long run. Energy price has not been demonstrated as an important role in decreasing energy intensity in the short run. The high share of coal use in total energy use may be responsible for China's high energy intensity.However, the relative change in economic sectors plays a minor role in energy intensity reduction during the past years. In the long run, technological progress, energy mix and energy prices Granger cause energy intensity, but not vice versa except for the energy mix.     

近52a西南地区潜在蒸散发时空变化特征

潜在蒸散发对水资源评价和气候变化均具有重要意义。采用Penman-Monteith公式和气象观测资料计算了中国西南地区90个气象站的潜在蒸散发,并采用多种统计方法分析了潜在蒸散发的时空变化特征。结果表明:(1)西南地区近52a的平均潜在蒸散发为3 209.8 mm,其中云南省潜在蒸散发最高(3 664.7 mm),其次为四川省(3 015.0 mm)、重庆市(2 972.4 mm)、贵州省(2 958.0 mm)。四季潜在蒸散发空间分布特征与年不同,从大到小排序为夏季,春季,秋季,冬季。(2)西南地区整体呈增加趋势(0.9 mm/10 a),其中31个站点呈减少趋势(p0.1),17个站点呈增加趋势(p0.1),其余站点变化趋势不显著。大部分站点春季(55.6%)和夏季(63.3%)呈减少趋势,秋季(62.2%)和冬季(58.9%)则呈增加趋势。(3)经MannKendall突变检验,该区整体潜在蒸散发的突变时间为1995年(p0.05);单个站点突变检验显示,76个站点发生突变,突变年份集中于1980s,未发生突变的站点主要分布于青藏高原东缘。整体上看,近52a来西南地区潜在蒸散发略呈增加趋势,并存在突变点,但部分站点存在相反的变化趋势,这和复杂的地形环境和气候特征有较大关系,体现出西南地区水文气象变化的独特性。     

Carbon dioxide emissions from cities in China based on high resolution emission gridded data

Based on the China high resolution emission gridded data (1 km spatial resolution), this article is aimed to create a Chinese city carbon dioxide (CO₂) emission data set using consolidated data sources as well as normalized and standardized data processing methods. Standard methods were used to calculate city CO₂ emissions, including scope 1 and scope 2. Cities with higher CO₂ emissions are mostly in north, northeast, and eastern coastal areas. Cities with lower CO₂ emissions are in the western region. Cites with higher CO₂ emissions are clustered in the Jing-Jin-Ji Region (such as Beijing, Tianjin, and Tangshan), and the Yangtze River Delta region (such as Shanghai and Suzhou). The city per capita CO₂ emission is larger in the north than the south. There are obvious aggregations of cities with high per capita CO₂ emission in the north. Four cities among the top 10 per capita emissions (Erdos, Wuhai, Shizuishan, and Yinchuan) cluster in the main coal production areas of northern China. This indicates the significant impact of coal resources endowment on city industry and CO₂ emissions. The majority (77%) of cities have annual CO₂ emissions below 50 million tons. The mean annual emission, among all cities, is 37 million tons. Emissions from service-based cities, which include the smallest number of cities, are the highest. Industrial cities are the largest category and the emission distribution from these cities is close to the normal distribution. Emissions and degree of dispersion, in the other cities (excluding industrial cities and service-based cities), are in the lowest level. Per capita CO₂ emissions in these cities are generally below 20 t/person (89%) with a mean value of 11 t/person. The distribution interval of per capita CO₂ emission within industrial cities is the largest among the three city categories. This indicates greater differences among per capita CO₂ emissions of industrial cities. The distribution interval of per capita CO₂ emission of other cities is the lowest, indicating smaller differences of per capita CO₂ emissions among this city category. Three policy suggestions are proposed: first, city CO₂ emission inventory data in China should be increased, especially for prefecture level cities. Second, city responsibility for emission reduction, and partitioning the national goal should be established, using a bottom-up approach based on specific CO₂ emission levels and potential for emission reductions in each city. Third, comparative and benchmarking research on city CO₂ emissions should be conducted, and a Top Runner system of city CO₂ emission reduction should be established.     

西部大开发十五年环境效率评价及其影响因素分析

西部大开发政策实施以来,西部地区实现了快于东部和中部的经济增长。正确认识西部地区经济增长中的环境成本,评价西部地区的环境效率具有重要意义。本文运用考虑非期望产出的超效率SBM模型测算了2000—2014年西部大开发以来的环境效率。研究发现:西部地区环境效率偏低,处于相对无效状态。西部地区环境效率明显低于传统效率,经济增长付出了较高的环境代价。西部大开发以来传统效率与环境效率之间的差距呈现先扩大后缩小的"倒U"型走势变化。西部地区省份环境效率在全国排名靠后,各省份的环境效率呈现出差异化的发展态势,其中重庆和四川排名不断提升,新疆排名逐步回落,内蒙古和广西在西部地区排名相对靠前且比较稳定,云南和陕西一直处于中间水平,贵州、甘肃、青海、宁夏排名相对靠后。西部地区环境效率2000—2003年上升,2004—2010年不断下降,2010—2014年趋于平稳。西部地区环境效率低于东部地区且差距大,也低于中部地区和全国平均水平。通过收敛性检验发现,西部地区各省份间的环境效率差距呈现先缩小后扩大的趋势;西部地区与东部地区间的环境效率差距逐渐扩大,与中部地区间的环境效率差距先扩大后缩小。本文同时采用了Tobit模型进行面板回归,实证分析了西部地区环境效率的影响因素。结果表明:经济发展水平、科学技术水平、能源消费结构、环保投资力度对西部地区环境效率具有显著影响;产业结构变化和对外开放程度对西部地区环境效率影响不显著;西部地区存在环境效率的库兹涅茨曲线。     

Impact of demographic dynamics on CO_2 emissions in Sichuan,China

Global climate change is one of the major environmental issues faced by humans.Existing evidence indicates that the anthropogenic push for a rise in the atmospheric concentration of greenhouse gases(GHGs)(particularly CO_2)has been a primary cause for global warming.Aside from economic and teclinological factors,demographic dynamics(including human consumption in a broad demographic sense)has been a major driver for CO_2 emissions.In this paper,we performed both nonlinear regression analysis(based on the STIRPAT model)and gray correlation degree analysis(based on gray system theory)on the impact of demographic dynamics on CO_2 emissions.Our results reveal that CO_2 emissions are positively correlated with population size and GDP per capita and negatively correlated with energy intensity.We also show that gray correlation degree with CO_2 emissions for five variables(i.e.,household consumption,urbanization rate,household size,population aging rate,population size)varies substantially:household consumptionurbanization ratehousehold sizepopulation aging ratepopulation size,with household consumption being the highest,and population size the lowest.To mitigate the impact of demographic dynamics on CO_2 emissions,it is of vital significance to nurture people's awareness of sustainable consumption and to adhere to current population control policies.     

Green and compatible industrial development in Western China

Western China has lagged a lot in terms of industrial structure and economic development,compared with the national average.And China announced its target of CO_2 emission reduction,i.e.by 2020,CO_2 emission per GDP will drop by40-45%compared with 2005.The target will be incorporated into China's long-term industrial planning.Against this background,this paper will make a comprehensive examination of the industrial development of Western China,aiming to discover a green and compatible way.First,we analyze the spatiotemporal evolution of regional industrial structure for the period 2000-2010.Second,we try to discover the industrial structure optimization path for Western China by employing the Vector Auto Regression model.Lastly,we try to provide some advice and suggestions for further industrial development in Western China.Our examination shows that further industrial development in Western China should pay full attention to resource conservation and recycling,and develop on a green and compatible path.     

Chinese construction companies in Angola: A local linkages perspective

China tends to spearhead its economic overtures to African countries through high-level bilateral negotiations. These are frequently in the form of China Exim Bank loans for large-scale infrastructure projects, repaid by resource exports to China. While much is made of China's resource-based activities in Africa, less focus is placed on the converse of this relationship—the infrastructure provision that African resources buy from China. This article takes the positions that local linkages development is one of the clearest ways that African countries can benefit from Chinese construction companies' market engagement. The prevailing view is that Chinese companies contracted to undertake the construction projects financed in this way do not use local labour, materials or any other inputs in the undertaking of their contracts. Focusing on the strategic orientation of large Chinese companies state-owned enterprises (SOEs) operating in Angola's construction sector, this article seeks to uncover the determinants of their sourcing behaviour, and the manner in which this is reflected in their use of local inputs.     

我国漂流旅游景区的空间分布研究

近年来漂流旅游逐步成为我国夏季旅游的新兴热点,在各地发展迅速。以我国漂流旅游景区为研究对象,运用地理集中指数、不平衡指数、基尼系数等计量地理学方法和ArcGIS分析软件对其在全国的空间分布特征进行了定量与定性分析。研究表明,我国610处漂流旅游景区主要分布在中东部地区,呈集中和空间凝聚态势,且分布的均衡度很低;而在地势第三级台阶内的山地丘陵地区呈现明显的条带状凝聚,多位于降水充沛的季风性气候区。同时,漂流旅游景区的分布与区域经济发展水平之间存在一定的空间耦合关系,体现出明显的城市指向。     

中国与美国对外直接投资区位选择的比较研究

基于邓宁的国际生产折衷理论,对比了中美两国投资规模、空间分布和发展阶段,利用灰色关联分析法比较了影响两国投资区位的因子.结果表明,影响美国对外投资的主要因子是人均GNP、CH和CO2的排放量,影响中国的主要因子是直接投资净流入量、航空运输量和CPI;美国对外直接投资属于市场导向型,而中国尚处于转型期,为对外投资第三阶段.