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作 者:白钰[1,2] 曾辉[1,3] 马强[1] 吴卉晶[1]
机构地区:[1]北京大学深圳研究生院,城市人居环境科学与技术重点实验室,广东深圳518055 [2]天津市国土资源和房屋管理研究中心,天津300041 [3]北京大学环境学院生态学系,北京100871
出 处:《自然资源学报》2009年第2期241-250,共10页Journal of Natural Resources
基 金:国家自然科学基金资助项目(40328002)
摘 要:针对生态足迹分析模型传统贸易调整方法在城市尺度中仅仅考虑国际贸易过程而没有涵盖国内贸易以及各类产品间接贸易所产生的贸易足迹的缺陷,论文分别提出修正贸易足迹核算的生物产品贸易调整系数和能源贸易调整系数,并在此基础上构建了基于宏观贸易调整方法的城市尺度生态足迹分析模型。基于宏观贸易调整方法的城市尺度生态足迹模型的实证研究,结果显示2005年珠江三角洲城市群的生态盈余计算结果呈现出明显的外围高盈余、内核高赤字的空间分布特征;而万元GDP生态足迹却表现出相反的分布格局。生物产品贸易足迹的分析结果显然与各城市目前的生物资源产品方面的城市定位形式较为一致,而能源间接贸易足迹则真实地反映了珠江三角洲城市群整体现行的经济发展模式、产业结构乃至区域发展的特点。基于宏观贸易调整法的城市生态足迹模型可以更准确地评估城市尺度上生态承载力的真实状况。The defects of ecological footprint (EF) are focused in international ecological economics and sustainable development. The original trade-correct of urban scale ecological footprint model is based on the biologic and energy accounts categories data, without considering demonic trade and artifactitious products trade. By analyzing the actual range of trade, we tried constructing two "trade-correct coefficients" to advance a medium-scale EF model based on macroscopical trade-correct method. In biologic account, the product of household consumption expenditure and Engle Coefficient represented urban consumption of biologic products, while the sum of primary industry GDP and food productions GDP represented urban biologic products output. Their ratio was the biologic account "trade-correct coefficient". In energy account, we construct the energy consumption densities of foodstuff and non-foodstuff consumption to compute energy content in trade, use the investment in fixed assets and remuneration to eliminate the consumption which don' t contain energy use. Then the "trade-correct coefficient" was given to evaluate energy consumption which was served to urban denizen themselves. This EF model is applied to the ecological assessment of Pearl River Delta urban agglomeration in 2005. The spatial pattern of ecological deficit in Pearl River Delta urban agglomeration shows a configuration of higher inside and lower outside, but the pattern of ecological footprint per 1×10^4 yuan GDP was opposite. The biologic resources trade footprint coincided with the urban functional position of biologic products. The energy trade footprint reflected the economic development pattern, industrial structure and the regional development features. Urban scale ecological footprint model based on macroscopical trade-correct method could evaluate the ecological capacity more accurately in urban scale.
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