Modelling and analysing the driving factors for the coordinated development of three modernisations in Central China

2019 ◽  
Vol 19 (4) ◽  
pp. 438
Author(s):  
Yuhua Lou ◽  
Jintian Yu ◽  
Huitao Li
Keyword(s):  
Driving Factors ◽  
Central China ◽  
Coordinated Development

scholarly journals Unbalanced Development Characteristics and Driving Mechanisms of Regional Urban Spatial form: A Case Study of Jiangsu Province, China

2021 ◽  
Vol 13 (6) ◽  
pp. 3121
Author(s):  
Guoping Xiong ◽  
Xin Cao ◽  
Nicholas A. S. Hamm ◽  
Tao Lin ◽  
Guoqin Zhang ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Regional Development ◽  
Driving Factors ◽  
Spatial Expansion ◽  
Spatial Form ◽  
Coordinated Development ◽  
Urbanization Level ◽  
Driving Mechanisms ◽  
Urbanization Development ◽  
Southern Jiangsu

Unbalanced regional development is widespread, and the imbalance of regional development in developing countries with rapid urbanization is increasingly apparent. This threatens the sustainable development of the region. Promoting the coordinated development of the region has become a hot spot of scientific research and a major practical need. Taking 99 counties of Jiangsu Province China, a typical coastal plain region, as the basic research unit, this paper explores the unbalanced development characteristics of the regional urban spatial form using three indicators: urban spatial expansion size, development intensity, and distribution aggregation degree. Then, their driving mechanisms were evaluated using spatial autocorrelation analysis, Pearson correlation analysis, linear regression, and geographically weighted regression. Our results found that the areas with larger urban spatial expansion size and development intensity were mainly concentrated in southern Jiangsu, where there was a positive spatial correlation between them. We found no agglomeration phenomenon in urban spatial distribution aggregation degree. From the perspective of driving factors: economics was the main driving factor of urban spatial expansion size; urbanization level and urbanization quality were the main driving factors of urban spatial development intensity. Natural landform and urbanization level are the main driving factors of urban spatial distribution aggregation degree. Finally, we discussed the optimization strategy of regional coordinated development. The quality of urbanization development and regional integration should be promoted in Southern Jiangsu. The level of urbanization development should be improved relying on rapid transportation to develop along the axis in central Jiangsu. The economic size should be increased, focusing on the expansion of the urban agglomeration in northern Jiangsu. This study will enrich the perspective of research on the characteristics and mechanisms of regional urban spatial imbalance, and helps to optimize and regulate the imbalance of regional urban development from multiple perspectives.

scholarly journals Coupling Coordination Assessment on Sponge City Construction and Its Spatial Pattern in Henan Province, China

Water ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3482
Author(s):  
Kun Wang ◽  
Lijun Zhang ◽  
Lulu Zhang ◽  
Shujuan Cheng
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Green Infrastructure ◽  
Henan Province ◽  
Central China ◽  
Coordinated Development ◽  
Sponge City ◽  
Development Level ◽  
City Construction ◽  
Coordination Development

Coordinating the “green” and “gray” infrastructure construction and the socioeconomic development is essential to sponge city construction. Most previous research has investigated the structural and non-structural approach for urban water management, such as operational practice, engineered measures, technical solutions, or planning management. However, there is a shortage of strategic management approaches to identify pilot sponge cities, which is essential to cities in developing countries under huge financial pressures. Hence, this paper proposed a coupling coordination evaluation index system to assess the coordination degree between economic development and infrastructure construction in Henan Province in central China. Then, the paper analyzed the differences of the coordination level and its spatial statistical pattern of the coupled and coordinated development of sponge city construction in Henan Province. The results show that: (1) from the perspective of comprehensive level, the problems of inadequate and unbalanced development of infrastructure construction and economic development level are prominent; (2) from the perspective of coordinated development level, the level of coupling and coordination development in Henan Province increased during the sample period, but the level of coupling and coordination development in each region was small; (3) from the perspective of relative development, Zhengzhou City is lagging behind in infrastructure, indicating that economic growth is faster than infrastructure construction, and other regions are lagging economic development, indicating that infrastructure construction is faster than economic growth; and (4) from the spatial statistical analysis, there is spatial positive correlation, that is, the area with high coupling degree of infrastructure construction and economic development level tends to be significantly concentrated in space. Studies have shown that Henan Province should focus on strengthening the construction of “green” infrastructure and increasing the infiltration of the underlying surface to counter the precipitation in urban areas in extreme climates.

scholarly journals Urban Green Development towards Sustainability in Northwest China: Efficiency Assessment, Spatial-Temporal Differentiation Characters, and Influencing Factors

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
LiJuan Si ◽  
JiaLu Wang ◽  
ShuRan Yang ◽  
Ye Yang ◽  
Jing Zhang
Keyword(s):  
Economic Development ◽  
Path Dependence ◽  
Industrial Structure ◽  
Northwest China ◽  
Driving Factors ◽  
Coordinated Development ◽  
Urban Green ◽  
High Position ◽  
Green Development ◽  
The Impact

For achieving the sustainable development goals, green development has been raised to a high position for cities in China. The economic development in Northwest China is slow, the ecological environment is fragile, and the mineral resources are rich. Only through green development can we realize the comprehensive income of regional production development, rich life, and good ecology. This paper measures the green development efficiency of 30 prefecture-level cities in Northwest China by using DEA-SBM model of unexpected output, explores the differences and causes of green development efficiency from the perspective of time and space through convergence coefficient, coordination matrix, GIS, and other methods, and empirically tests the impact of industrial structure, technological progress, and other driving factors on green development efficiency by using panel Tobit model. The results show that, on the whole, the efficiency of green development in Northwest China is low, path dependence is serious and unbalanced, the coordinated development effect of different regions is weak, and the spillover effect of core urban agglomerations has not been effectively exerted; from the perspective of driving factors, economic development, population density, traffic situation, and education investment can significantly improve the efficiency of urban green development, and the second is that the proportion of industries significantly hinders the improvement of green development efficiency, while the impact of scientific and technological innovation is not significant. Based on the empirical results, this paper believes that the harmonious development of natural environment and economic society can be realized only by improving the coordinated development effect among cities, implementing the optimization and upgrading of industrial structure, introducing excellent talents, and promoting the technological upgrading.

Spatial pattern and temporal trend of prehistoric human sites and its driving factors in Henan Province, Central China

2015 ◽  
Vol 25 (9) ◽  
pp. 1109-1121 ◽  
Author(s):  
Zhongxuan Li ◽  
Cheng Zhu ◽  
Guoxi Wu ◽  
Chaogui Zheng ◽  
Pengju Zhang
Keyword(s):  
Spatial Pattern ◽  
Temporal Trend ◽  
Henan Province ◽  
Driving Factors ◽  
Central China

Study on Mechanism of Regional Economy Integrated Development in Central Plains Economic Zone

2013 ◽  
Vol 798-799 ◽  
pp. 998-1003
Author(s):  
Jian She Li ◽  
Qian Song
Keyword(s):  
Industrial Structure ◽  
Central China ◽  
Eastern Region ◽  
Coordinated Development ◽  
Central Plains ◽  
Integrated Development ◽  
Industrial Structure Adjustment ◽  
Cluster Mechanism ◽  
Economic Zone ◽  
Development Mechanism

Central plains economic zone is the significant strategic concept to reduce the economic gap with eastern region, and realize the rise of central China. Based on members positioned, economic integrated development mechanism of the central plains economic zone is the vital drivers of optimizing the resources configuration, accelerating industrial structure adjustment and realizing the coordinated development of the area. From the division mechanism, cooperative mechanism and cluster mechanism, the article analyses the necessity of operating mechanism by the game model, and puts forward some proposal for the economy integrated development mechanism on government, industry and society.

scholarly journals Recurrence and Driving Factors of Visceral Leishmaniasis in Central China

2021 ◽  
Vol 18 (18) ◽  
pp. 9535
Author(s):  
Yingze Zhao ◽  
Dong Jiang ◽  
Fangyu Ding ◽  
Mengmeng Hao ◽  
Qian Wang ◽  
...  
Keyword(s):  
Public Health ◽  
Visceral Leishmaniasis ◽  
Prevention And Control ◽  
Control Strategies ◽  
Additive Model ◽  
Significant Risk ◽  
Driving Factors ◽  
Spatiotemporal Distribution ◽  
Central China ◽  
And Control

Visceral leishmaniasis (VL) is an important vector-borne zoonosis caused by Leishmania spp. that has been spreading in China. It has been posing a significant risk to public health in central China due to its recurrence in recent decades. Yet, the spatiotemporal patterns and the driving factors of VL in central China remain unclear at present. The purpose of this study was to analyse spatiotemporal distribution, explore driving factors, and provide novel insight into prevention and control countermeasures of the VL spreading in central China. Based on data of human VL cases from 2006 to 2019 obtained from the Chinese Centres for Disease Control and Prevention (CDC), we depicted the map showing the spatiotemporal distribution of VL in central China. We further explored the driving factors contributing to the spread of VL through the general additive model (GAM) by combining maps of environmental, meteorological, and socioeconomic correlates. Most VL cases were reported in Shaanxi and Shanxi provinces, the number of which has been increasing every year in the last 14 years, from 3 new cases in 2006 to 101 new cases in 2019. The results of GAM revealed that environmental (i.e., changes in grasslands/forests), meteorological (i.e., temperature and relative humidity), and socioeconomic (i.e., population density) factors are significantly associated with the prevalence of VL in central China. Our results provide a better understanding regarding the current situation and the driving factors of VL in central China, assisting in developing the disease prevention and control strategies implemented by public health authorities.

scholarly journals Decoupling Analysis of Water Footprint and Economic Growth: A Case Study of Beijing–Tianjin–Hebei Region from 2004 to 2017

2019 ◽  
Vol 16 (23) ◽  
pp. 4873 ◽  
Author(s):  
Yang Kong ◽  
Weijun He ◽  
Liang Yuan ◽  
Juqin Shen ◽  
Min An ◽  
...  
Keyword(s):  
Economic Growth ◽  
Water Resources ◽  
Water Footprint ◽  
Economic Effect ◽  
Driving Factors ◽  
Utilization Efficiency ◽  
Clear Understanding ◽  
Coordinated Development ◽  
Water Utilization ◽  
Population Effect

The Beijing–Tianji–Hebei region (BTHR) is economically developed and densely populated, but its water resources are extremely scarce. A clear understanding of the decoupling relationship between water footprint and economic growth is conducive to facilitating and realizing the coordinated development of water resources and economic growth in this region. This study calculated the water footprint and other related indicators of BTHR from 2004 to 2017, and objectively evaluated the utilization of water resources in the region. Then, logarithmic mean divisia index (LMDI) method was applied to study the driving factors that resulted in the change of water footprint and their respective effects. Finally, Tapio decoupling model was used to research the decoupling relationships between water footprint and economic growth, and between the driving factors of water footprint and economic growth. There are three main results in this research. (1) The water utilization efficiency in BTHR continues to improve, and the water footprint shows a gradually increasing trend during the research period, among which the agricultural water footprint accounts for a relatively high proportion. (2) The change of water footprint can be attributed to efficiency effect, economic effect, and population effect. Furthermore, efficiency effect is the decisive factor of water footprint reduction and economic effect is the main factor of water footprint increase, while population effect plays a weak role in promoting the increase in water footprint. (3) The decoupling status between water footprint and economic growth show a weak decoupling in most years, while the status between water footprint intensity and economic growth always remains strong decoupling. Moreover, population size and economic growth always show an expansive coupling state. In sum, it is advisable for policy makers to improve water utilization efficiency, especially agricultural irrigation efficiency, to raise residents’ awareness of water conservation, and increase the import of water-intensive products, so as to alleviate water shortage and realize the coordinated development of water resources and economic growth in BTHR.

The Analysis on Economy Development and Equalization Degree of Six Metropolitan Areas in Middle of China

2011 ◽  
Vol 179-180 ◽  
pp. 1136-1142
Author(s):  
Ti Chen ◽  
Jin Tian Yu ◽  
Yue Lan Hu
Keyword(s):  
Economic Development ◽  
Social Development ◽  
Regional Growth ◽  
Capital City ◽  
Central China ◽  
Coordinated Development ◽  
Urban Network ◽  
Correlation Data ◽  
Urban Cluster ◽  
Provincial Capital

Urban cluster is a urbanized process, in the specific areas, city of different heterogeneity, type and the rank of scale forms urban network community which based on the relation of regional economic development and the market link. With the development of central China, various provinces in middle of China are constructing the provincial capital city as the centre of their urban cluster, and try their best to make the urban cluster in middle of China become the pole of regional growth and the core of economic zone. The economic development condition of urban cluster makes a key function on the development in the middle area of China. For impetus the development of urban clusters in middle of China fast and healthy, speeds up the development speeds of these six big urban clusters, expansions the economic impact scopes of these six big urban clusters and enhances the economic potentialities of these six big urban clusters are the development key point of those urban clusters. So, we must firstly thorough understanding the present social development situation of these six big urban clusters in middle of China, then we could target-oriented promote economic society's coordinated development of each urban cluster. This paper has illustrated present social development situation of six big urban clusters in middle of China thoroughly, has analyzed the existing financial circumstances emphatically of these six big urban clusters in middle of China by consult massive correlation data, has calculated economic development level and the equalization of these urban clusters in middle of China by mathematical models, by done those things, we mean to provide more actual guiding senses on economic development of those urban clusters in the future.

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