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作 者:李军[1] 胡云锋[2] 任旺兵[1] 王倩倩[1,3]
机构地区:[1]国家发展和改革委员会宏观经济研究院,北京100038 [2]中国科学院地理科学与资源研究所,北京100101 [3]辽宁工程技术大学测绘与地理科学学院,辽宁阜新123000
出 处:《地理研究》2013年第1期123-132,共10页Geographical Research
基 金:国家科技支撑计划项目(2008BAH31B04);科技部973计划项目(2010CB950904);国家软科学研究计划项目(2009GXS5B061);国家自然科学基金项目(40971223)
摘 要:对国家主体功能区开展监测和评估是掌握主体功能区规划落实情况、动态监管主体功能区运行状态的基本途径。本研究首先提出了国家主体功能区空间型监测评价指标体系概念,继而分析了指标遴选原则,即体现国家主体功能区核心功能、具备较强空间展示能力、满足管理基本需要,以及指标的可操作性、综合性与独立性等要求。在此基础上,建立了包括9个指标组和60个具体指标的体系框架。具体为:监测评价指标组包括资源、环境、生态、自然灾害、经济、人口社会、政策、交通和主体功能区运行等9个指标组;每个指标组内包含若干个可操作的具体指标。进而,还讨论了空间型监测评价指标体系的完备性与实用性、指标数据的获取方法、指标数据的空间化处理与表达等关键问题。With the adoption of "National Planning for the Major Function Oriented Zone (NMFOZ)" by the Chinese central government in 2010, the implementation of this planning will be a core task in the following and future years. In the implementing era, the work of monitoring and evaluating the status and development trend of NMFOZs, which include their physical, ecological, social and economic elements at regional and national levels, is one of basic approaches to grasp the practical information and adjust the operational status for those NMFOZs. According to the basic requirements and spatial features of NMFOZ, based on the integration between modem geographic information technology and traditional statistic technology, a comprehensive framework including a series of spatial indices was put forward, including 2 levels, 9 groups and 60 concrete indexes. At the top level, 9 index groups, including resources, environment, ecology, natural hazards, economy, population and society, policy, communication and NMFOZ operating system, were organized firstly. Then at the lower level, each index group was further decomposed into a series of distinctive operational indexes that can be easily obtained or integrated from the remote sensing information and traditional economic & social surveys and statistics. For example, the population and society index group covers 7 concrete indexes, i.e. total population, population inflow ratio, population outflow ratio, ratio of non-agriculture population, poor population, R&D ratio, and energy consume per unit GDE The entire index listed here can be further calculated, analyzed and visualized by the assistance of geographic information system (GIS). Finally, the authors discussed the completeness and practical applicability of the spatial indexes, index data acquisition methods, data processing methods and expression methods. Although some shortcomings exist in the presented index framework, there is no doubt that our results offer a reference for the future monitoring and evalu
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