基于敏感度模型的非首都功能疏解时序研究

利用北京市2012年竞争型投入产出表,构建了敏感度模型,定量分析了最终使用变动1%对某一产业增加值和就业的影响程度。研究表明：① 根据经济敏感度系数,北京应该优先疏解金属制品、机械和设备修理服务等8个产业部门。假设上述产业部门全部疏解,对北京市产业增加值的影响为1.06%,对应的产业增加值减少186.4亿元。② 根据就业敏感度系数,北京应该优先疏解木材加工品和家具、纺织品等8个产业部门。假设上述产业部门全部疏解,对北京市就业人口的影响为1.31%,对应的就业人数减少12.0万人。③ 根据综合敏感度系数和首都核心功能定位,北京应该疏解的产业部门依次是批发和零售、化学产品、食品和烟草、金属冶炼和压延加工品、煤炭采选产品等19个产业部门。     

中国资源枯竭城市的区位条件（英文）

Numerous domestic scholars have argued that a remote location is the major factor preventing the transformation and sustainable development of resource-exhausted cities. Research to date, however, has not presented relevant evidence to support this hypothesis or explained how to identify the concept of ‘remoteness'. Resource-exhausted cities designated by the State Council of China were examined in this study alongside the provincial capital cities that contain such entities and three regional central cities that are closely connected to this phenomenon: Beijing, Shanghai, and Guangzhou. Spatial and temporal distances are used to calculate and evaluate the location remoteness degrees(LRDs) of resource-exhausted cities, in terms of both resource types and regions. The results indicate that resource-exhausted cities are indeed remote from the overall samples. Based on spatial distances, the LRDs are α_1 = 1.36(i.e., distance to provincial capital city) and β_1 = 1.14(i.e., distance to regional central city), but when based on temporal distances, α_2 = 2.02(i.e., distance to provincial capital city) and β_2 = 1.44(i.e., distance to regional central city). Clear differences are found in the LRDs between different regions and resource types, with those in western China and forest industrial cities the most obviously remote. Finally, the numbers of very remote resource-exhausted cities based on spatial and temporal distances(i.e.,α 1.5 ∩β 1.5) are 14 and 19, respectively, encompassing 17.9% and 24.4% of the total sampled. Similarly, 25 and 30 not remote resource-exhausted cities based on spatial and temporal distances(i.e.,α≤1.0 ∩β≤ 1.0) encompass 32.1% and 38.5% of the total, respectively. This study provided supporting information for the future development and policy making for resource-exhausted cities given different LRDs.     

宋词中情感的时空特征分析

宋词是文学地理学研究的重要组成部分,其中的意境尤是其灵魂。“意”为词中的情感,而“境”则是其中的环境。传统的研究方法多从文学鉴赏的角度进行定性分析,缺乏对宋词意境整体的定量研究。本文通过提取所选宋词的创作时间、创作地或描述地及词人情感信息等时空数据,建立了相关的地理时空数据库,并利用制图和空间分析方法研究了宋代词人整体的情感特征在时间和空间上的动态变化,同时挖掘其变化的成因。研究表明：①宋代词人整体情感的时间变化与宋代国势发展基本吻合,随着国家的兴衰而变化;②词人情感在不同时段的空间分布有所不同。地理环境等因素造成了不同词人地方感的空间差异,而历史事件引发的民族情感,又促成了宋朝词人整体地方感的形成和变化。本文通过对不同词人的情感进行定量化处理,将以往对个体地方感的研究,整合为对整个群体地方感的研究,将小尺度上的个性转化为文人群体对整个家国的地方感,为文化地理学“学科树”中不同尺度转换的研究提供了新的思路,同时也为情感地理学中诗词意境的定量研究提供了新的借鉴。