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。     

上海市经济-环境系统的物质输入分析

对区域或城市经济-环境系统的物质输入分析。可以判断可持续发展所处的状态。进而为区域或城市制定循环经济发展战略提供依据。利用物质流的理论和方法．依据欧盟指导原则，分析了1990—2003年间上海市经济-环境系统的物质总需求和资源生产率等主要指标。研究结果表明：①上海市巨大的物质总需求和直接物质消耗给上海市的生态环境带来了巨大的压力；②1996年上海市的资源生产率是全国的1．22倍．但2000年日本的资源生产率是上海市的36倍；③影响上海市的物质总需求或者环境质量的关键因素是技术和制度能力。在上述的分析基础上。提出在2020年之前上海市发展循环经济要注重于输入端的减物质化和加强循环绍济的技术支撑研究与开发以及制度能力建设。     

Europe–Middle East–North Africa cooperation for sustainable electricity and water

This report summarizes the results of two studies of electricity supply for Europe (EU), the Middle East (ME) and North Africa (NA) up to the year 2050. It shows that a transition to competitive, secure and sustainable supply of electricity and water is possible using renewable energy sources, efficiency gains and fossil fuel backup for balancing power. A strong cooperation between the EU and MENA for the market introduction of renewable energy and the interconnection of the electricity grids by high-voltage direct-current transmission are keys to the success and survival of the whole region. However, the necessary measures will take at least two decades to become effective. Therefore, adequate policy and economic frameworks for their realization must be introduced immediately. The importance of sustainable energy for the security of freshwater supplies in MENA is also described.

On Index System and Quantitative Assessment of Eco-cities： A Case Study on Urban Agglomeration of the Yangtze Delta

Urban agglomeration of the Yangtze Delta （UAYD）, one of the most developed regions of China, has witnessed an increasing prevalence in building ecological cities when the ecological cities are pursued by many modem cities, and great achievements have been made in this regard. It is inevitable, however, that certain problems exist during the construction of ecological city, which include but not limited to non-harmonious development of urban complex ecosystem, and the difficulty in quantifying eco-city construction or incomplete quantification in assessing the construction of present and future eco-city. Based on the analysis on social-economic conditions and regional conditions of the UAYD, this paper attempts to set up an index system of eco-cities combining with local characteristics, and to adopt the indices of eco-city, urban harmony, and eco-city colligate to evaluate the ecological level, urban harmonious development and eco-city construction of cities within the UAYD. Results indicate that among 15 cities in UAYD, Suzhou City ranks the highest in terms of eco-city construction, whereas Nantong ranks relatively lower; sustainable eco-city construction is possible only when cities are developed in every respect of harmony.     

High Environmental Cost behind Low China Price

China has won the name of the world factory being famous for exporting a great deal of and various kinds of low-price merchandise. However, most of Chinese exports are primary goods or manufactured products that create heavy pollution and require intensive use of resources. Chinese products go abroad, but their following harms stay behind. The article analyzes many obvious low-price facts in China and their concomitant terrible environmental results in detail, and points out that there are huge hidden troubles in the way of China＇s sustainable development behind her seemingly flourishing economy.     

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.     

CO_2 Emission Induced by Urban Household Consumption in China

Household consumption is one of the important factors that induce COL emission. Based on input-output model, this article calculated the intensity of CO2 emission of different income groups and seven provinces in China, and then estimated total CO2 emission induced by urban household consumption from 1995 to 2004 in China based on statistic data of household living expenditure. The results show that CO2 emission per capita induced by household consumption had increased from 1583 to 2498 kg CO2 during 1995-2004. The ratio of consumption-induced CO2 emission to total CO2 emission had risen from 19% to 30% in the past decade. Indirect CO2 emission accounted for an important part of the consumption-induced emission, the ratio of indirect emission to consumption-induced emission had risen from 69% to 79% during the same period. A significant difference in consumption-induced CO2 emission across different income groups and different regions has been observed. COs emission per capita of higher income groups and developed regions increased faster than that of lower income groups and developing regions. Changing lifestyle has driven significant increase in CO2 emission. Especially, increases in private transport expenditure （for example, vehicle expenditure） and house building expenditure are key driving factors of growth in consumption-induced COL emission. There are big differences in the amount of CO2 emission induced by change in lifestyle across different income groups and provinces. It can be expected that lower income households and developing regions will increase consumption to improve their livings with income growth in the future, which may induce much more CO2 emission. A reasonable level of CO2 emission is necessary to satisfy human needs and to improve living standard, but a noticeable fact is that CO2 emission per capita induced by household consumption in developed areas of China had reached a quite high level. Adjustment in lifestyle towards a low-carbon society is in urgent need.     

Agricultural Structure in Western China by Comparing with before and after CFFG Based on Shift-share Method

Based on shift-share method, this article employs re- gional share, structural shift and competitive shift to analyze the structural benefit and competitive position of agricultural structure in western China by comparing with agriculture, foresting, stockbreeding and fishing before and after Conversion of Farmland to Forest and Grassland （CFFG）. Then authors draw following conclusion： while CFFG program has been put in practice, the agricultural structure in western China has some typical characteristics, such as growth faster, structural predominance obvious and more competitive. But the contributiveness from the competition is not too much yet, and the structural benefit of forest estate and stockbreeding are restrained.     

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.