Analyzing spatial disparities of economic development in Yellow River Basin, China

Zhang, Pengyan; Pang, Bo; Li, Yanyan; He, Jinling; Hong, Xin; Qin, Chengzhe; Zheng, Hui

doi:10.1007/s10708-018-9860-9

Cited by 33 publications

(7 citation statements)

References 32 publications

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“…In the selection of research indicators for the level of economic development, there were mainly two methods: compound indicators and single indicators. Among the composite indicators, Zhang et al [1] combined population, land, production and other indicators to construct a comprehensive index of economic density. Liu et al [34] and Zhang and Wang [32] constructed a comprehensive index of economic development level.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The Yellow River Basin (YRB) is the birthplace of Chinese civilization, traversing the three strategic regions of East, West, and East of China, and playing an important role in the social and economic development. It is also a key region for national poverty alleviation and regional coordinated development [1,2]. The development of the economy and other aspects of the YRB has been highly valued by the state and is a major national strategy [2].…”

Section: Introductionmentioning

confidence: 99%

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The County-Scale Economic Spatial Pattern and Influencing Factors of Seven Urban Agglomerations in the Yellow River Basin—A Study Based on the Integrated Nighttime Light Data

et al. 2021

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The integrated night light (NTL) datasets were used to represent the economic development level, and visual analysis was carried out on the evolution characteristics of the economic spatial pattern of various urban agglomerations in the Yellow River Basin (YRB), at a county-scale, in 1992, 2005, and 2018. The Global Moran’s I and the local Getis-Ord G methods were used to explore the overall spatial correlation and local cold–hot spot of economic development levels, respectively. The spatial heterogeneity of the influence of relevant factors on the economic development level at the municipal scale was analyzed by using the multi-scale geographically weighted regression (MGWR) model. The results show that the county-level economic spatial pattern of urban agglomeration in the YRB has an obvious “pyramid” characteristic. The hot spots are concentrated in the hinterland of the Guanzhong Plain, the Central Plains, and the Shandong Peninsula urban agglomeration. The cold spots are concentrated in the junction of urban agglomerations, and the characteristics of “cold in the west and hot in the east” are obvious. Labor input and import and exporthave a positive impact on the economic development level for each urban agglomeration, government force has a negative impact, and education shows both positive and negative polarization on economic development.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The County-Scale Economic Spatial Pattern and Influencing Factors of Seven Urban Agglomerations in the Yellow River Basin—A Study Based on the Integrated Nighttime Light Data

et al. 2021

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“…In contrast, a high order system has low entropy. Thus, based on the relationship between entropy and order, the entropy value can be used to describe the order degree of the clogging state and to estimate its evolution direction [39][40][41].…”

Section: Gray Relation Entropy Theorymentioning

confidence: 99%

Laboratory Evaluation of the Permeability Durability of Utilization of Oil Shale Waste as Fine Aggregate in Open Grade Friction Course in Seasonal Frozen Regions

Guo

Chen

et al. 2020

Applied Sciences

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Open graded friction course (OGFC), as a highly permeable mixture, has the characteristics of good friction and splash-and-spray reduction during rainstorms. The limitations of the use of such mixtures include the fact that they are affected by poor durability, including strength and permeability durability issues. In a previous study, oil shale waste, as a fine aggregate in the mixture (with a particle size less than 4.75 mm), could effectively improve the overall properties of OGFC, but the permeability durability was not clear. Thus, a comprehensive investigation of the permeability durability of oil shale waste as a fine aggregate is essential to achieving a better understanding in order to promote its engineering application. In this paper, the long-term permeability when using oil shale waste as a fine aggregate in OGFC was systematically investigated based on a self-developed laboratory physical clogging procedure. The test results illustrated the effectiveness of the utilization of oil shale waste as a fine aggregate in terms of permeability durability. A comprehensive index of the clogging coefficient containing mass, porosity and permeability coefficient was proposed based on gray relation entropy theory, the physical clogging model of COF-OGFC (OGFC containing oil shale waste filler) was established and the clogging speed of COF-OGFC was quantified based on the Mistcherlich growth model. The analysis showed that there is an essential difference in the clogging behavior of permeable pavement in the spring and summer. The maximum clogging degree of the permeable pavement in summer is about 40% higher than that in spring, while the clogging rate is much lower than in the spring, at only about 14%, which indicates that the clogging behavior of permeable asphalt pavement in spring is mostly in the rapid clogging mode, and that in summer is mostly in a slow deposition clogging mode. Moreover, the test results showed that the most important influences on the spring clogging behavior of COF-OGFC were the sandy clogging materials and particle sizes ranging from 150 μm to 1180 μm, which can be used to provide a reference for the design of anti-slip sand.

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“…As a result, built-up land such as residential, industrial and commercial land, and transportation infrastructure and so on spread to the periphery of the city. This can be explained by the fact that the economic hinterland is the external driving factor of the expansion of built-up land [1,37]. On the other hand, while the built-up land expands to the periphery of the city, it often forms a close connection with the city center, which provides more factors of production for the city, thus affecting the spatial pattern of the urban economic hinterland.…”

Section: Introductionmentioning

confidence: 99%

“…At the same time, with the economic development and urban expansion, urban built-up land is also undergoing more dramatic changes, especially in Zhengzhou and Jinan-the two major provincial capitals, which are headed by "blowout" development. Economic growth and the expansion of built-up land have led to a more prominent contradiction of land use in the lower reaches of the Yellow River, which is also one of the serious problems facing urban development in China [37], and has a high similarity with the urban development of some developing countries and regions in the world [40]. Therefore, based on the regional spatial unit of the lower reaches of the Yellow River, using ArcGIS 10.2 software as the technical platform, with the help of a field strength model, geographic concentration model and elastic coefficient model, this paper further analyses the urban built-up land and economic hinterland collection on the basis of defining the economic hinterland of the lower reaches of the Yellow River from 2005 to 2017.…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Agglomeration Characteristics and Coupling Relationship of Urban Built-Up Land and Economic Hinterland—A Case Study of the Lower Yellow River, China

et al. 2019

Self Cite

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Clarifying the development relationship between urban built-up land and economic hinterland can provide decision support for regional sustainable development. Using the improved field model, geographic concentration and elasticity coefficient, and taking the lower reaches of the Yellow River as the study area, this study defines the scope of urban economic hinterland in the lower reaches of the Yellow River in China from 2005 to 2017, further analyzes the dynamic process of urban built-up land agglomeration and economic hinterland agglomeration, and reveals the spatial–temporal coupling relationships of urban built-up land expansion and economic hinterland development. The results revealed the following: (1) From 2005 to 2017, the spatial and temporal change pattern of the economic hinterland of each city in the lower reaches of the Yellow River had basically the same trend, showing a low degree of coincidence with the administrative divisions and obvious differences in scope and change; (2) The geographic concentration of built-up land showed a trend of centering on the cities of Zhengzhou and Jinan, spreading to the periphery, and gradually forming a high-value contiguous area in both cities. The spatial distribution patterns of the geographic concentration of economic hinterland are mainly manifested in Zhengzhou and Jinan, showing a circle structure of areas with “highest-low-higher” concentrations of economic hinterland moving away from the urban center; (3) The spatial–temporal coupling between the expansion of urban built-up land and the development of economic hinterland underwent an obvious transformation process. From 2005 to 2011, the coupling mode was mainly growth, and, from 2011 to 2017, it began to shift to extensive and intensive development. The coupling model of urban built-up land and economic hinterland in the lower reaches of the Yellow River has a good trend.

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Analyzing spatial disparities of economic development in Yellow River Basin, China

Cited by 33 publications

References 32 publications

The County-Scale Economic Spatial Pattern and Influencing Factors of Seven Urban Agglomerations in the Yellow River Basin—A Study Based on the Integrated Nighttime Light Data

The County-Scale Economic Spatial Pattern and Influencing Factors of Seven Urban Agglomerations in the Yellow River Basin—A Study Based on the Integrated Nighttime Light Data

Laboratory Evaluation of the Permeability Durability of Utilization of Oil Shale Waste as Fine Aggregate in Open Grade Friction Course in Seasonal Frozen Regions

Spatial and Temporal Agglomeration Characteristics and Coupling Relationship of Urban Built-Up Land and Economic Hinterland—A Case Study of the Lower Yellow River, China

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