Technological innovation paths toward green industry in China

With the environmental carrying capacity reaching its limits and the decreasing margin benefits of traditional production factors, the green transformation and green development through technological innovations has been a major direction for the future development of Chinese industries. However, the characteristics and heterogeneities of various types of industries call for different approaches regarding technological innovations. How to choose the most effective mode of technological innovation according to the characteristics of a certain industry has been a key issue. This paper measures the green total factor productivity of 32 industrial trades using the Slacks Based Measure(SBM)-DDF method. The effects of three innovation modes in the green transformation of industrial industry, including the independent innovation(Ⅱ), the technology introduction(TI), and the government support(GS), are empirically analyzed based on industry heterogeneity. Results indicate that the green total factor productivities of different industries show significant differences if taking into account the energy input and the undesirable output of pollutant emissions. The green total factor productivities of traditional high input,high pollution, and high energy consumption industrial trades were significantly lower than those with obvious green features. The year of 2009 is a leap year for the industrial green transformation in China. For resource-intensive industries, the II and the GS are the important ways to achieve green transformation. For labor-intensive industries, the TI is the best path to achieve green transformation, while for technology-intensive industries, the II is the primary driving force for the promotion of green developments. In addition, the innovation-compensating effect of the current Chinese environmental regulations to the resource-intensive industries has been revealed. Improving the overall scale and the industrial concentration of the industries is also beneficial for the green transformation of the industries.     

基于GIS的景观生态功能指标分析

针对当前我国规划及战略环评指标体系中缺乏直接反映生态功能指标的问题,提出可通过系统研究区域景观生态结构与景观功能变化间的关系,由斑块面积指数计算生物生产力、由景观香农多样性指数和景观香农均匀度指数反映生态质量,以此表征景观生态功能。以地理信息系统（GIS）为平台,提出了利用基于斑块面积而得到的景观要素转移矩阵及基于年鉴统计而得到的景观单位面积生物生产力的转移矩阵来计算生物生产力的方法,并在统计若干研究流域景观格局异质性指数文献的基础上发掘了景观多样性指数、景观均匀度指数与生态质量间的关系。最后,以江苏省沿江地区2000、2004年的数据开展了实例分析,结果表明,提出的生物生产力和生态质量这两个指标确实能反映区域景观功能的变化,在今后的规划和战略环评中具有一定的应用前景.     

Projecting Climate Change Effects on Forest Net Primary Productivity in Subtropical Louisiana,USA

This study projected responses of forest net primary productivity (NPP) to three climate change scenarios at a resolution of 5 km × 5 km across the state of Louisiana, USA. In addition, we assessed uncertainties associated with the NPP projection at the grid and state levels. Climate data of the scenarios were derived from Community Climate System Model outputs. Changes in annual NPP between 2000 and 2050 were projected with the forest ecosystem model PnET-II. Results showed that forest productivity would increase under climate change scenarios A1B and A2, but with scenario B1, it would peak during 2011–2020 and then decline. The projected average NPP under B1 over the years from 2000 to 2050 was significantly different from those under A1B and A2. Forest NPP appeared to be primarily a function of temperature, not precipitation. Uncertainties of the NPP projection were due to large spatial resolution of the climate variables. Overall, this study suggested that in order to project effects of climate change on forest ecosystem at regional level, modeling uncertainties could be reduced by increasing the spatial resolution of the climate projections.     

The Dual Model for Tourism Resource Productivity Improvement

For natural resource science, resource productivity studying is an important subject. But researches on tourism resource productivity are limited. The most significant influencing factor on tourism resource productivity is the potential market scale of tourist locations, and second most important influencing factor is the resource endowment. Regional urban population is significantly correlated with region tourist numbers, being the decisive factor of region potential tour market scale. In tourism development, the dual model should be adopted: on one hand to enhance tour spot attractiveness, on the other hand to cultivate the potential market by improving urbanization level and other means. In the situation of tourism development fever spreading, the dual model for improving tourism productivity helps to avoid the "Great Leap Forward" which means that too rapid tourism construction divorces from actual market demand.     

南水北调中线丹江口库区土地生产潜力估算

以土地生产潜力与承载力理论为基础,以南水北调中线工程主要淹没区和水源地——丹江口库区耕地为研究对象,在遥感影像、DEM、气象、土壤等数据支持下建立模型,利用潜力递减法估算丹江口库区的土地生产潜力,同时对土地资源人口承载力进行研究。估算结果表明:研究区不同作物、不同耕作制度下的最大生产潜力与现实生产力有很大差距,在现有粮食生产水平下,库区未淹没耕地的情况下,库区的人口承载力现状已经很差,当水位达到170 m后,库区人口承载力将进一步恶化。但是,研究区作物的现实生产力还有很大的提高余地,若在移民的前提下,深入挖掘土地生产潜力,因地制宜的选择合适的耕作制度,库区的土地承载力还可以有所提高。     

我国经济发展的生态效率及其改进策略

本文考察了我国历年生态效率状况,应用两种预测方法探讨了至2020年我国经济发展的生态效率预期目标,并从宏观角度提出了系统性的改进策略。研究表明,1997～2005年,我国水资源生产率、工业用水资源生产率、能源生产率、COD排放生产率、SO2排放生产率的年平均增长率分别为8．77％、7．19％、2．56％、11．94％、7．35％。根据“十一五”规划,至2010年,我国拟采用的水资源生产率倍数、工业用水资源生产率倍数、能源生产率倍数、COD排放生产率倍数、SO2排放生产率倍数分别为1．924、2．081、1．223、2．570、1．969,与根据我国历年变化趋势所预测的相应值基本持平,有的甚至还相对低一些;按“十一五”规划期生态效率增长趋势所推测的2020年上述值分别为3．006、4．247、1．912、6．540、5．009,根据我国历年变化趋势所预测的相应值分别为5．37、4．01、1．66、9．54、4．13。我国生态效率改进的基本策略是：技术进步、结构调整、制度创新和强化管理等。     

环境规制对技术效率和生产力损失的影响分析

以中国工业为研究对象,以经济发展程度不同所分的东部、中部和西部地区兰个地区作为研究区域,采用非参数数据包络法(DEA)中的径自效率测量方法(radial efficiency measure)为主要研究方法,分析了在1998-2005年期间环境规制对中国工业的技术效率和生产力损失的影响.研究结果表明,在指定的研究期间,环境规制使得中国工业技术效率提高,但是对于生产力的发展却产生了负面的影响.三个地区之间受环境规制影响的差异较大,其中东部为环境规制所付出的成本最大,即东部为环境污染所付出的环境成本最高,这也是为何从九十年代开始,污染物从东部往中西部转移的原因;从受污染物影响的角度来看,因控制废水而引起的生产力损失大于因控制SO2而引起的生产力损失,即对于中国工业,废水的环境成本大于SO2的环境成本.另外,从研究结果中也可知,在中国现有的生产方式下,实施严格的环境规制有一定难度,所以改变旧的生产方式,实施可持续发展的生产方式是当务之急.     

强“波特假说”存在产业异质性吗?——基于产业碳密集程度细分的视角

强"波特假说"认为严格而恰当的环境规制政策将使企业的生产效率呈现先降后升的趋势,为验证强"波特假说"及其产业异质性,首先建立产业碳密集指数,将工业部门36个细分行业划分为高碳密集产业、中碳密集产业和低碳密集产业;接着运用方向性距离函数测算2003—2014年细分行业的绿色全要素生产率,基于系统"GMM"估计方法验证三个细分行业的环境规制强度对绿色全要素生产率的影响。研究结果显示:第一,样本期间内,高碳密集产业的环境规制强度远远高于中低碳密集产业,这表明高碳密集产业一直是产业节能减排的重点对象,而碳排放情况较为严重的中碳密集产业则为"被遗忘的角落";第二,强"波特假说"在工业部门内存在产业异质性,高碳密集产业和中碳密集产业的环境规制强度与绿色全要素生产率呈"U"型关系,而在低碳密集产业中两者则呈倒"U"型关系;第三,相对于高碳密集产业,中碳密集产业因环境规制强度较容易跨越"U"型拐点而具有较大的减排空间,低碳密集产业在达到"U"型拐点之前,环境规制为其绿色全要素生产率提升的动力。本文研究结论蕴含如下的政策建议:根据产业的碳密集程度实施针对性的环境规制政策,持续加强中碳密集产业的环境规制力度,适度加强低碳密集产业的环境规制强度,高碳密集产业需根据不同阶段的经济水平设计具有针对性的环境规制政策,逐渐将三类产业的"遵循成本"效应转化为"创新补偿"效应,实现经济增长和环境保护的双赢。     

Effect of deforestation on fertility attributes of Mollisols in the NW of Iran

The impacts of deforestation on soil fertility indices – are still not well understood in the forest lands of Iran characterised by Mediterranean type climate. Consistent with this, 8 soil pedons and 32 soil cores were described and sampled from four different soil types of forest and adjacent cultivated soil along a Mollisols transect. The results revealed a considerable depletion in the values of soil organic carbon (by 60–88%), total N (by 67–88%), available K (by 20–45%), cation exchange capacity (by 9–21%), and the diethylene-triamine pentaacetic acid (DTPA) fraction of Fe (by 40–72%), Mn (by 10–60%), and Zn (by 49–80%) after deforestation. In contrast, soil pH (by 0.36–0.9 units), C:N ratio (by 3–84%), available P (22–139%), and DTPA Cu (by 4–55%) tended to increase due to deforestation. Cultivated soils showed a drop of 70–82% in the values of the soil productivity index than to those of the forest soil, indicating a degrading and declining effect of deforestation on soil productivity capacity. It was found that the majority of soil fertility indices were affected negatively by deforestation and more than half of the organic matter was lost to deforestation, which, in turn, could lead to deterioration in soil quality or land productivity capacity.     

全球低碳发展评估及中国低碳发展的实现路径

低碳发展日益成为国际关注的热点问题,中国正处在快速工业化和城镇化进程当中,通过低碳发展实现经济社会转型尤为迫切。在全球大背景下正确判断中国的低碳发展水平,汲取各国有益的低碳发展经验,寻求适合中国的低碳发展路径尤为重要。从低碳发展特征指标变动出发,通过统计分析,得出全球低碳发展历史和现状水平,以及中国所处的位置。研究表明,近20年来全球碳生产力水平不断提高,近年来中国的碳生产力水平飞速提升,但是中国的碳生产力仍然远远低于全球平均水平,离先进国家的差距更大,不足法国的1/10,人均二氧化碳排放增速位居世界前列,减排压力巨大。因此,结合国内外实践经验,总结了中国低碳发展的5个实现路径,分别是调整能源结构、发展低碳产业、倡导低碳消费、建设低碳城市和加强碳汇建设。