State land policy, land markets and geographies of manufacturing: The case of Beijing, China

Gao, Boyang; Liu, Weidong; Dunford, Michael

doi:10.1016/j.landusepol.2013.06.007

Cited by 70 publications

(22 citation statements)

References 34 publications

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“…It means the current location pattern of urban industry in Shanghai is significantly affected by development inertia. Comparatively, Beijing has adopted another strategyrelocating industrial firms to rural areas (Gao et al, 2014). This implies that unban-industry might be only an intermediate outcome of urban industrial restructuring as industrial suburbanization (Qian, 2012) might be its final outcome for Shanghai the same as Beijing and what happened in the Western world.…”

Section: Discussionmentioning

confidence: 99%

“…These studies are characterized by uses of macro data at administrative level (e.g. district level in Gao et al, 2014) and economic geography analysis methods including Herfindahl index, Hoover index, location quotient, Gini coefficient, and global or local Moran I. The location pattern of non-manufacturing at urban level is rarely studied, particularly using micro-geography data and Geographical Information System (GIS) spatial analysis methods, due to limited data availability in China.…”

Section: Literature Review 21 Industrial Location In Chinamentioning

confidence: 99%

“…For example, the various types of science parks exhibit significantly different development paths and mechanisms (Cheng et al, 2014). Gao et al (2014) found that Beijing experienced a process of manufacturing decentralization from the centre and agglomeration in various types of development zones across the city from 1985 to 2008. By 2008, more than 86% of manufacturing plants were located in the outer area of Beijing's 4th Ring Road.…”

Section: Literature Review 21 Industrial Location In Chinamentioning

confidence: 99%

See 2 more Smart Citations

Location patterns of urban industry in Shanghai and implications for sustainability

Cao

Cheng

et al. 2017

J. Geogr. Sci.

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China's economy has undergone rapid transition and industrial restructuring. The term "urban industry" describes a particular type of industry within Chinese cities experiencing restructuring. Given the high percentage of industrial firms that have either closed or relocated from city centres to the urban fringe and beyond, emergent global cities such as Shanghai, are implementing strategies for local economic and urban development, which involve urban industrial upgrading numerous firms in the city centre and urban fringe. This study aims to analyze the location patterns of seven urban industrial sectors within the Shanghai urban region using 2008 micro-geography data. To avoid Modifiable Areal Unit Problem (MAUP) issue, four distance-based measures including nearest neighbourhood analysis, Kernel density estimation, K-function and co-location quotient have been extensively applied to analyze and compare the concentration and co-location between the seven sectors. The results reveal disparate patterns varying with distance and interesting co-location as well. The results are as follows: the city centre and the urban fringe have the highest intensity of urban industrial firms, but the zones with 20-30 km from the city centre is a watershed for most categories; the degree of concentration varies with distance, weaker at shorter distance, increasing up to the maximum distance of 30 km and then decreasing until 50 km; for all urban industries, there are three types of patterns, mixture of clustered, random and dispersed distribution at a varied range of distances. Consequently, this paper argues that the location pattern of urban industry reflects the stage-specific industrial restructuring and spatial transformation, conditioned by sustainability objectives.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Review 21 Industrial Location In Chinamentioning

confidence: 99%

Section: Literature Review 21 Industrial Location In Chinamentioning

confidence: 99%

See 1 more Smart Citation

Location patterns of urban industry in Shanghai and implications for sustainability

Cao

Cheng

et al. 2017

J. Geogr. Sci.

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“…The regression equation shows that all indications except for "whether there is discrimination against landless residents from the employer" are the main factors that affect residents' will of rural land transfer. "comparison of the income before and after the land loss", "whether the farmers feel satisfaction about the current job or not", "whether the local government formulates the preferential policy of employment for landless residents" and "the expectation of employment" produce more significant positive effects on residents' will of rural land transfer [26]. So the government should be more careful on the choice of re-employment policy for landless residents in the process of rural land transfer.…”

Section: The Empirical Analysis On Residents' Will Of Rural Land Tranmentioning

confidence: 99%

The Model of the Exploratory Factor Analysis about Residents' will of Rural Land Transfer

Sun¹,

Li²,

Liang³

et al. 2015

IJSH

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“…A unique aspect of Wen-Tai is its distinctive economic development patterns. From the 1980s, the Chinese government implemented a series of policies such as “the market transition” to promote an export-oriented economy in eastern coastal cities [ 40 ]. Such policies, coupled with the terrestrial inaccessibility of Wen-tai, resulted in the “Wenzhou model”, in which local private business developed rapidly, facilitated by provincial and especially municipal government [ 41 ].…”

Section: Introductionmentioning

confidence: 99%

Spatial Point Pattern Analysis of Human Settlements and Geographical Associations in Eastern Coastal China — A Case Study

Zhang

Xiao

Shortridge

et al. 2014

IJERPH

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Understanding the spatial point pattern of human settlements and their geographical associations are important for understanding the drivers of land use and land cover change and the relationship between environmental and ecological processes on one hand and cultures and lifestyles on the other. In this study, a Geographic Information System (GIS) approach, Ripley’s K function and Monte Carlo simulation were used to investigate human settlement point patterns. Remotely sensed tools and regression models were employed to identify the effects of geographical determinants on settlement locations in the Wen-Tai region of eastern coastal China. Results indicated that human settlements displayed regular-random-cluster patterns from small to big scale. Most settlements located on the coastal plain presented either regular or random patterns, while those in hilly areas exhibited a clustered pattern. Moreover, clustered settlements were preferentially located at higher elevations with steeper slopes and south facing aspects than random or regular settlements. Regression showed that influences of topographic factors (elevation, slope and aspect) on settlement locations were stronger across hilly regions. This study demonstrated a new approach to analyzing the spatial patterns of human settlements from a wide geographical prospective. We argue that the spatial point patterns of settlements, in addition to the characteristics of human settlements, such as area, density and shape, should be taken into consideration in the future, and land planners and decision makers should pay more attention to city planning and management. Conceptual and methodological bridges linking settlement patterns to regional and site-specific geographical characteristics will be a key to human settlement studies and planning.

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State land policy, land markets and geographies of manufacturing: The case of Beijing, China

Cited by 70 publications

References 34 publications

Location patterns of urban industry in Shanghai and implications for sustainability

Location patterns of urban industry in Shanghai and implications for sustainability

The Model of the Exploratory Factor Analysis about Residents' will of Rural Land Transfer

Spatial Point Pattern Analysis of Human Settlements and Geographical Associations in Eastern Coastal China — A Case Study

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