A review of population geography research in China

DOI:10.11821/dlxb201408012      [本文引用: 1]

China's reform and opening up period saw a revival of research into population geography. Chinese researchers have discussed the issues of population capacity and realized that the total population of China will reach its maximum capacity and result in many social problems. The key to solving these problems is controlling total population capacity, developing production and changing lifestyles. Faced with resource shortages and environmental pollution, Chinese researchers have proposed strategies for creating a fourth industry, feeding environment, promoting labor employment, reducing environment pollution, and promoting gracious social behavior, cultural consciousness and new community organization at different scales. In response to rapid industrial shifts and various population structures, the research field proposed the theory of balanced population growth, and when faced with land use and development issues they developed a regional development model through industry transfer, population migration and payment transfer. Other themes covered in this review include unbalanced regional development, functional zoning indicators, a partitioned model of population development, population analysis, quantitative index and modeling. Future work on population geography in China requires (1) a distributed geographic information system around census and population thematic data to promote the exchange of population data and measurement models; (2) strengthening surveys of different micro-scale communities and control of the active behavior of community systems under rapid population change to improve our understanding and interpretation of quantitative population geography; and (3) international population intelligence exchange to better understand the population evolution trends of different countries, and regulate and control the allocation of labor and talent. Last, population geography researchers in China should adopt interdisciplinary methods to maximize their contribution to national development and scientific research.

中国人口地理研究进展

DOI:10.11821/dlxb201408012      [本文引用: 1]

1978年以来是中国人口地理学复兴和发展时期。中国人口地理学工作者消化吸收西方经典人口学理论,讨论中国人口容量问题,认识到中国人口总量即将达到增长极限,强调控制人口总量、努力发展生产和转变生存方式是解决人口问题的关键。针对资源短缺和环境污染问题,提出了创建第四产业,实施环境抚育,推动劳动力就业,降低环境污染的策略。针对民生问题,提出深入开展微观社会调查,主动再造跨尺度的社区制度,推进对人口行为的尺度综合和文化自觉。针对中国人口快速转变和人口结构问题,提出了人口均衡发展理论。针对国土空间开发格局问题,提出了区域发展均衡模型,强调通过产业转移、人口流动、转移支付等手段,形成相对均衡的区域发展格局。针对区域人口发展不平衡问题,提出了人口发展功能分区指标和分区模型,初步实现了视野综合化、指标定量化、分析模型化,将人口地理学研究推向新高度。未来中国人口地理学研究,一要围绕人口普查和人口业务数据库,建设分布式人口地理信息系统,推动人口专题数据和人口计量模型共享,巩固和发展人口地理学定量化研究之特色;二要加强不同尺度的社区微观调查,主动调控人口快速转变情景下的社区行为,提高对人口地理学定量研究结果的理解和解释;三要加强国际人口情报交流,把握各国人口演化趋势,从经济全球化的分工合作体系的视角,合理配置中国劳动力资源和人才资源。中国人口地理学应坚持走跨学科的发展道路,努力在世界人口之巅辛勤耕耘,为国家发展、学科建设做出应有的贡献。

Review of population geography in the past Century

DOI:10.11820/dlkxjz.2011.02.001      [本文引用: 1]

Population geography is a study of the ways in which spatial variations in the distribution, composition, migration and growth of population are related to the nature of places. Long before the last century, there was no discipline called population geography. However, the early substantial relevant investigations of population geography were embodied in the traditional geography. In the first half of the 20th century, yet researches of population geography still did not become independent from human geography. The philosophy of anthropogeography of Friedrich Ratzel was inherited during the same period. After the Second World War, the studies of population geography progressively develop toward a subfield within geography. It was not until the 1950s was the science of population geography gradually established. Since then, the population geography as a branch subject has gained a persistent and fast development. Bulks of population matters are involved in the scope of population geography in the start of new millennium. Above all, some worldwide concerned and ongoing issues such as fertility and ageing, mobility and migration, and population and vulnerability have turned into hot themes lately. In the near future, population and difference, vulnerability, and spatial analysis will still be key interests of population geographers. To cope with the new challenges, the geographic scale and geographic dimensions of population problems should be emphasized, and the methodologies of spatialization of statistical population should be intensified simultaneously.

20世纪人口地理学研究进展

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Growth principles of urban spatial structure

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城市空间结构增长原理

[本文引用: 1]

Physics of population distribution

DOI:10.1111/j.1467-9787.1958.tb01366.x      URL     [本文引用: 1]

Spatial flows and competing central places: Towards a general theory of hierarchical interaction

DOI:10.1068/a220527      URL     [本文引用: 1]

The spatial distribution and changing pattern of urban population density

DOI:10.1080/00221348608979033      URL     [本文引用: 1]

Cellular automata and fractal urban form: A cellular modeling approach to the evolution of urban land-use patterns

DOI:10.1068/a251175      URL     [本文引用: 1]

Urban population densities

DOI:10.2307/2981088      URL     [本文引用: 2]

A review of monocentric urban density analysis

DOI:10.1177/088541229701200201      URL     [本文引用: 1]

Aspects of lognormal function in the analysis of regional population distribution

DOI:10.1068/a210961      URL     [本文引用: 1]

Derivation of the negative exponential model by an entropy maximizing method

DOI:10.1068/a020295      URL     [本文引用: 1]

Less is more, more is different: Complexity, morphology, cities, and emergence

DOI:10.1068/b2702ed      URL     [本文引用: 1]

City growth as a leap-frogging process: An application to the Tel-Aviv metropolis

DOI:10.1080/00420980120084877      URL     [本文引用: 1]

Population suburbanization in American metropolitan areas, 1940-1970

DOI:10.1111/j.1538-4632.1975.tb01040.x      URL     [本文引用: 1]

Living in two worlds: A review of home-to-work decisions

DOI:10.1111/j.1468-2257.2004.00250.x      URL     [本文引用: 1]

[本文引用: 1]

Spatial analysis of employment and population density: The case of the agglomeration of Dijon 1999

DOI:10.1111/j.1538-4632.2004.tb01130.x      URL     [本文引用: 1]

Spatial-temporal characteristics and influencing factors of population distribution and floating changes in Beijing-Tianjin-Hebei region

DOI:10.11821/dlyj201809012      [本文引用: 1]

Based on multiple types of data and using qualitative and quantitative analysis, the paper analyzes the spatial-temporal characteristics and influencing factors of population changes in Beijing-Tianjin-Hebei (BTH) region from the two aspects of population distribution patterns and population floating in long and short periods. The main results are summed up as follows: (1) BTH region presents an obvious population distribution characteristic, which is influenced by physiographical conditions and traffic location factors; Beijing-Tianjin region reflects the prominent circle features, which is due to social and economic development; and Hebei lacks a mature regional sub-center. From 2000 to 2010, the population of this region is characterized by a significant growth. (2) Over a long period of time, the vitality of population floating has increased and the pattern of population floating is more concentrated. Over a short period of time, Beijing and Tianjin have become the hottest cities of population inflow and outflow respectively in China. The population floating among Beijing, Tianjin and Langfang is the most active, while the Beijing-centered population floating is relatively active. (3) The main influencing factors of the spatial-temporal change of population over a long period of time include human capital accumulation, industrial structure, urbanization, initial economic development level, rurality and public services, geographical location, central city radiation and topographic relief. Holidays and seasons are the important superimposed factors that affect the direction and quantity of short-term population movements.

京津冀人口时空变化特征及其影响因素

DOI:10.11821/dlyj201809012      [本文引用: 1]

基于2000和2010年人口普查和社会经济数据、2015年12月13日-25日百度迁徙数据及地理空间数据等多源数据,从人口分布格局与流动格局两个角度,探讨近年京津冀地区人口时空变化特征及其影响因素。研究表明：① 2000-2010年,京津冀地区呈现出明显的由自然地理条件与交通区位因素影响下的人口疏密特征、社会经济发展影响下的京津圈层特征,河北则缺少发育成熟的区域次级中心,京津冀地区人口普遍增加,且以人口显著增加为主要特征;② 人口普查的长时段迁移数据分析发现,京津冀人口流动活力增强,人口流入格局更为集聚;百度迁徙的短时段数据分析发现,北京是人口流入和流出的高热城市,天津是人口流出的较热城市,北京、天津、廊坊三地之间人口流动最为活跃,且以北京为核心的城市间人口流动较为活跃;③ 人力资本积累、产业结构特征、城镇发展水平、基期的经济发展水平、乡村化指数、公共服务水平,以及地理交通区位和地形起伏特征,是京津冀县域常住人口长时段内集散变化的主要影响因素,而短时段人口流动方向与数量还受节假日与季节的叠加影响。从城市功能、场强、网络及其演化的综合视角,更有助于深化人口集疏变化的地理研究。

Change in distribution and growth shifts of population in the Yangtze River Delta and influencing factors

DOI:10.18306/dlkxjz.2020.12.009      [本文引用: 1]

Population distribution is an important indicator of regional development patterns. Also, regional coordinated development is closely related to the balanced distribution of the population. In the context of the regional integration of the Yangtze River Delta as a national strategy, the population distribution across the Yangtze River Delta has undergone significant changes. Using Kernal density analysis, gravity center analysis, concentration index, and shift-share analysis methods, this study examined the spatio-temporal change characteristics of the population in the Yangtze River Delta from 2000 to 2018, and explored the influencing factors as well as internal mechanisms of population growth shifts by utilizing quantitative methods. The main conclusions are as follows: 1) The shift in the population distribution trend led by some cities did not significantly change the imbalanced pattern of regional population distribution, and the increase in the concentration index indicates that the regional population concentration showed a steady growth trend. 2) The research based on shift-share analysis found that the shift in population growth pattern was mainly manifested in the acceleration of population growth in some underdeveloped areas. For example, Anhui Province was transformed into positive growth shift at the provincial scale. On the city scale, the positive growth shift dominated by core developed cities has changed to the positive growth shift dominated by some less developed cities. The spatial distribution of positive growth shift of municipal districts changed from the core areas to the peripheral areas. However, the population was still attracted to a few large cities and municipal districts. The diversified population growth shift trend characterizes the differentiated demands for future development strategies. 3) Economic factors, social development, and financial resources were important driving forces of population growth shift in the Yangtze River Delta. However, the temporal and spatial change of influencing factors shows that the formulation of future population balancing policies not only needs to be adapted to local conditions, but also should evolve through time. This research not only provides a reference for the formulation of relevant population policies, but also enriches the empirical findings on the spatial and temporal change of population.

长江三角洲人口分布演变、偏移增长及影响因素

DOI:10.18306/dlkxjz.2020.12.009      [本文引用: 1]

在长江三角洲区域一体化上升为国家战略背景下,论文运用核密度、重心、集中指数和偏移—分享等方法,研究2000—2018年长江三角洲人口时空演变规律,并采用定量方法探讨人口偏移增长影响因素。结果表明：① 部分城市主导下的人口集散趋势转变,并未显著改变区域人口不均衡格局,且集中度呈现稳步增长态势。② 基于偏移—分享法的研究发现,人口增长格局转变主要表现为部分欠发达地区人口增速加快,如三省一市上安徽省转变为正偏移增长、城市尺度上核心发达城市为主的正偏移增长向部分欠发达城市为主的正偏移增长转变、县域尺度上正偏移市辖区由核心区向边缘区的转移,但人口向少数大城市、市辖区集聚的态势显著,而多样化的人口偏移增长态势表征了未来城市发展策略的差异化需求。③ 经济因素、社会发展和财政水平等是长江三角洲人口偏移增长的重要驱动力,而影响因素的时空演变表明,未来人口均衡化政策的制定不仅要因地制宜,更要与时俱进。

Space pattern evolution of population distribution and the driving factors in northeast China

DOI:10.13249/j.cnki.sgs.2017.05.008      [本文引用: 1]

Northeast China is considered as the important old industrial base. However the change of population distribution and driving factors were not clear yet under the circumstance of a new round of revitalization. Therefore, according to the population census data in 1990, 2000 and 2010, Lorenz curve, relative change rate of population density and Moran’s I are employed to analysis spatial pattern evolution of population distribution in Northeast China in 1990-2010, which consist of 176 counties. Subsequently, based on the partial least squares (PLS) regression method, 10 natural and social-economic factors are recognized to make quantitative analysis on spatial pattern evolution of population distribution in Northeast China. Major conclusion can be drawn as follows: 1) From the stand point of overall distribution pattern changes in nearly 20 years, average population density shows: Heilongjiang Province< Jilin Province