scholarly journals Research on the Measurement and Path of Urban Agglomeration Growth Effect

2019 ◽  
Vol 11 (19) ◽  
pp. 5179 ◽  
Author(s):  
Jing Han ◽  
Ming Gao ◽  
Yawen Sun
Keyword(s):  
Human Capital ◽  
Panel Data ◽  
Influencing Factors ◽  
Dynamic Panel Data ◽  
Sustainable Growth ◽  
Urban Agglomeration ◽  
Growth Effect ◽  
Continuous Growth ◽  
Urban Agglomerations ◽  
The Core

This paper employed dynamic generalized method of moment methods to measure the growth effect of 202 prefecture-level cities covered by 14 national urban agglomerations in China from 2007 to 2016. Based on this, this paper further explored the main factors affecting the growth of urban agglomeration and the path to achieving sustainable growth from the aspects of system, technology, structure, and influencing factors, and used the dynamic panel data (DPD) model and threshold panel data to empirically test the growth effect of urban agglomerations. The empirical results showed the following. (1) From the perspective of influencing factors, the improvement of technology and the increase in technology expenditure had a good growth effect on urban agglomeration, and this growth effect became more and more significant as the economic development level within the urban agglomeration narrowed; moreover, the increase of the agglomeration degree could alleviate the negative externality caused by the expansion of the urban scale and produce the dispersion effect to relieve the pressure of urban agglomeration. (2) From the results of the growth effect of urban agglomerations, the growth effect of multi-core urban agglomerations was more significant than that of single-core and dual-core urban agglomerations, and technology, agglomeration degree, foreign direct investment and human capital all significantly promoted the growth of urban agglomerations. Compared with trans-provincial urban agglomerations, provincial urban agglomerations have less resistance due to administrative jurisdiction, and the growth effect was obvious. (3) From the perspective of regional differences, the growth momentum of urban agglomerations in the eastern region was significantly stronger than that in the central and western regions, and the growth effect of agglomeration degree, technology, and human capital on urban agglomeration were all stronger than that in the central and western regions. Considering that the spatial distance between the edge cities and the central cities of the urban agglomeration will have an important impact on the overall growth of the urban agglomeration, this paper then used the panel threshold method to deeply discuss the influence mechanism and path dependence of the agglomeration degree on the growth of urban agglomerations. The results showed that within a certain spatial scale, a higher agglomeration degree of an urban agglomeration creates a stronger radiation effect of the core city and more obvious growth momentum of the urban agglomeration. In the future development of urban agglomerations, it is necessary to clarify the functions of the core city, vigorously develop new technologies, strengthen the construction of the core city as well as maximize its radiation and driving effect on the surrounding cities. Meanwhile, the government should improve transportation, increase the construction of urban expressways and railways, strengthen the connection between cities, strengthen regional integration and cooperation, and give play to the role of human capital in promoting growth to achieve the stable and continuous growth of urban agglomerations.

scholarly journals Spatial Spillover Effect and Influencing Factors of Information Flow in Urban Agglomerations—Case Study of China Based on Baidu Search Index

2021 ◽  
Vol 13 (14) ◽  
pp. 8032
Author(s):  
Chengzhuo Wu ◽  
Li Zhuo ◽  
Zhuo Chen ◽  
Haiyan Tao
Keyword(s):  
Influencing Factors ◽  
Information Flow ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Urban Agglomeration ◽  
Coordinated Development ◽  
Spatial Spillover ◽  
Urban Agglomerations ◽  
Search Index ◽  
Spatial Spillover Effect

Cities in an urban agglomeration closely interact with each other through various flows. Information flow, as one of the important forms of urban interactions, is now increasingly indispensable with the fast development of informatics technology. Thanks to its timely, convenient, and spatially unconstrained transmission ability, information flow has obvious spillover effects, which may strengthen urban interaction and further promote urban coordinated development. Therefore, it is crucial to quantify the spatial spillover effect and influencing factors of information flows, especially at the urban agglomeration scale. However, the academic research on this topic is insufficient. We, therefore, developed a spatial interaction model of information flow (SIM-IF) based on the Baidu Search Index and used it to analyze the spillover effects and influencing factors of information flow in the three major urban agglomerations in China, namely Beijing–Tianjin–Hebei (BTH), the Yangtze River Delta (YRD), and the Pearl River Delta (PRD) in the period of 2014–2019. The results showed that the SIM-IF performed well in all three agglomerations. Quantitative analysis indicated that the BTH had the strongest spillover effect of information flow, followed by the YRD and the PRD. It was also found that the hierarchy of cities had the greatest impact on the spillover effects of information flow. This study may provide scientific basis for the information flow construction in urban agglomerations and benefit the coordinated development of cities.

Human capital and economic growth revisited: A dynamic panel data study

2002 ◽  
Vol 8 (3) ◽  
pp. 177-187 ◽  
Author(s):  
G. Agiomirgianakis ◽  
D. Asteriou ◽  
V. Monastiriotis
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Dynamic Panel Data ◽  
Dynamic Panel

Methodology for Estimation and Calculation of the Level of Development of Urban Agglomerations (on Materials of Barnaul Agglomeration)

2020 ◽  
Vol 9 (2) ◽  
pp. 51-58
Author(s):  
Andrey Garnov ◽  
V. Himochka ◽  
I. Goloschapova ◽  
D. Robec
Keyword(s):  
Demographic Characteristic ◽  
Economic Structure ◽  
Urban Agglomeration ◽  
Industrial Agriculture ◽  
Settlement System ◽  
Urban Agglomerations ◽  
Transport Accessibility ◽  
The Core ◽  
Economic Area ◽  
Methodological Approaches

Purpose: Development of a methodology for assessing the development of urban agglomerations and calculating the level of their development. Discussion: The article presents the theoretical, methodological and practical aspects of the diagnosis of the regional economic area, explores the existing methodological and methodological approaches to assess the development of urban agglomerations. The development of the territory is assessed by indicators of the population settlement system and transport accessibility of the satellite zone to the core of the agglomeration. But since the object of our study is agglomeration formed in a territory with a diverse economic structure and a complex spatial and demographic characteristic, the above set of indicators for assessing the level of development is not enough. Results: A technique is proposed that determines the sequence of actions in the formation of urban agglomerations. The level of development of the urban agglomeration is analyzed. Indicators are proposed for assessing the level of agglomeration development, which were applied on the materials of the Barnaul agglomeration. In the subregion we are considering, the urbanized type of territorial and economic structure dominates. However, the inclusion of rural municipalities in the agglomeration changes the type of urban agglomeration to industrial-agriculture agglomeration.

scholarly journals The Effect of Governance Quality on Economic Growth: Based on China’s Provincial Panel Data

Economies ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 56 ◽  
Author(s):  
Jiandang Liu ◽  
Jie Tang ◽  
Bo Zhou ◽  
Zhijun Liang
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Economic Development ◽  
Panel Data ◽  
High Speed ◽  
Growth Effect ◽  
Eastern Region ◽  
High Quality ◽  
Governance Quality ◽  
The Impact

This paper investigates the impact of governance quality on economic growth in China. After developing a theoretical framework for the effect of governance quality on local economic growth, this article studies the panel data in provincial regions over the period 2001–2015 by constructing a new comprehensive index of provincial governance, and checks the robustness of the empirical findings from four aspects. The results show that governance quality has a positive effect on economic growth, due to good governance strengthening the “helping hand” or weakening the “grabbing hand” of power. Governance quality presents diminishing marginal returns, which means that the high-speed economic growth effect becomes less and less, while the high-quality economic development effect becomes more and more. Higher governance quality could bring a high-speed economic growth effect in the western region, while higher governance quality could bring a high-quality economic development effect in the eastern region. Compared with fixed-asset investment, human capital has played a more important role in economic growth. In order to promote the sustainable development of China’s economy, policy makers should improve local governance quality, strengthen the capacity of independent innovation, and promote the accumulation of high-quality human capital.

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