Economic Agglomeration and the Development of Cities in China

10.1142/12704 ◽  
2022 ◽  
Author(s):  
Hong Gao
Keyword(s):  
Economic Agglomeration

scholarly journals Does Economic Agglomeration Lead to Efficient Rural to Urban Land Conversion? An Examination of China’s Metropolitan Area Development Strategy

2021 ◽  
Vol 13 (4) ◽  
pp. 2002
Author(s):  
Ke Huang ◽  
Martin Dallimer ◽  
Lindsay C. Stringer ◽  
Anlu Zhang ◽  
Ting Zhang
Keyword(s):  
Development Strategy ◽  
Agricultural Land ◽  
Urban Land ◽  
Urban Land Use ◽  
Productive Efficiency ◽  
Land Conversion ◽  
Negative Consequences ◽  
Natural Habitats ◽  
Rapid Urbanization ◽  
Economic Agglomeration

Urbanization involves expansion of the amount of land covered by urban uses. Rural to urban land conversion (RULC) can satisfy demand for the additional space that growing cities require. However, there can be negative consequences, such as the loss of productive agricultural land and/or the destruction of natural habitats. Considerable interest therefore exists among policy makers and researchers regarding how the efficiency of RULC can be maximized. We used the Gini index and a data envelopment analysis to quantify the relationship between RULC and economic development for 17 metropolitan areas in China. We did this from two perspectives: (i) coordination; and (ii) efficiency. We found that economic agglomeration fosters the coordination of the amount of rural land that is allocated to be converted to urban uses. Similarly, economic agglomeration increases the efficiency of RULC in terms of the processes of socio-economic production. Through production technology innovation and readjustment in the scale of input factors, the productive efficiency of RULC can be promoted. Our findings suggest a need to strictly limit the amount of RULC, design differential land management policies according to location and development level, and adjust RULC allocation between different cities. Further, in harnessing the potential of intensive urban land use and restructuring, production factors, including land, can be enhanced through technological innovation. Research presented in this paper provides insights for areas of the world which are yet to undergo the rapid urbanization that China has experienced, but where it is projected to occur over the coming decades.

scholarly journals A Framework for Spatiotemporal Analysis of Regional Economic Agglomeration Patterns

2018 ◽  
Vol 10 (8) ◽  
pp. 2800 ◽  
Author(s):  
Rui Jin ◽  
Jianya Gong ◽  
Min Deng ◽  
Yiliang Wan ◽  
Xuexi Yang
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Interaction Model ◽  
Spillover Effects ◽  
Spatiotemporal Pattern ◽  
Regional Economic ◽  
Spatial Panel ◽  
Economic Agglomeration ◽  
Spatial Panel Data

Understanding regional economic agglomeration patterns is critical for sustainable economic development, urban planning and proper utilization of regional resources. Taking Guangdong Province of China as the study area, this paper introduces a comprehensive research framework for analyzing regional economic agglomeration patterns and understanding their spatiotemporal characteristics. First, convergence and autocorrelation methods are applied to understand the economic spatial patterns. Then, the intercity spatial interaction model (ISIM) is proposed to measure the strength of interplay among cities, and social network analysis (SNA) based on the ISIM is utilized, which is designed to reveal the network characteristics of economic agglomerations. Finally, we perform a spatial panel data analysis to comprehensively interpret the influences of regional economic agglomerations. The results indicate that from 2001 to 2016, the economy in Guangdong showed a double-core/peripheral pattern of convergence, with strengthened intercity interactions. The strength and external spillover effects of Guangzhou and Shenzhen enhanced, while Foshan and Dongguan had relatively strong absorptive abilities. Moreover, expanding regional communication and cooperation is key to enhancing vigorous economic agglomerations and regional network ties in Guangdong by spatial panel data analysis. Our results show that this is a suitable method of reflecting regional economic agglomeration process and its spatiotemporal pattern.

scholarly journals Business environment, economic agglomeration and job creation around the world

2016 ◽  
Vol 48 (33) ◽  
pp. 3088-3103 ◽  
Author(s):  
George Clarke ◽  
Yue Li ◽  
Lixin Colin Xu
Keyword(s):  
Job Creation ◽  
Business Environment ◽  
The World ◽  
Economic Agglomeration

scholarly journals Spatial Dynamics of Internal Migration Flows of the Skilled and Unskilled in Mexico

2020 ◽  
Author(s):  
Miguel Flores Segovia ◽  
Eliud Silva
Keyword(s):  
Internal Migration ◽  
Census Data ◽  
Relative Concentration ◽  
Spatial Dynamics ◽  
Unskilled Labor ◽  
Geographical Patterns ◽  
Economic Agglomeration ◽  
Skilled And Unskilled Labor ◽  
Migratory Patterns ◽  
Relationship Of

ABSTRACT: The dynamics of the internal migration is a crucial element in the composition of the workforce of a certain region, so its analysis contributes to the better understanding of labor markets and sociodemographic changes in a region. In order to characterize the most recent patterns of migratory flows of skilled and unskilled labor, census data are considered for the periods 1995-2000, 2005-2010 and 2010-2015. The analysis considers different indicators that describe the intensity and relative concentration of interstate migration. Changes in migratory patterns are evident; a lower concentration of internal migration whose effect is more marked for unskilled labor. That is, it is observed that the number of states that play a preponderant role in the redistribution of labor in Mexico has increased. The relationship of domestic labor mobility is evident to the regional transformation as a result of new geographical patterns of location of investment, production and economic agglomeration.

Catharine Market and Its Neighborhood

2016 ◽  
Author(s):  
Gergely Baics
Keyword(s):  
New York ◽  
Long Island ◽  
Diverse Population ◽  
Everyday Functioning ◽  
Inland Waterways ◽  
Cultural Contexts ◽  
Public Markets ◽  
The Public ◽  
Economic Agglomeration

This chapter examines the neighborhood setting, which provided the immediate economic, social, and cultural contexts of the public markets. Through a case study of Catharine Market, it documents the piecemeal process by which the neighborhood marketplace was assembled, along with the consolidation of its economic agglomeration, internal social and spatial order, everyday functioning, formal and informal management, and daily relations to customers. By the early nineteenth century, Catharine Market served as one of Gotham's largest and most thriving food emporia. It functioned as the regular meeting point for diverse participants in the provisions trade: neighborhood food vendors, including butchers, hucksters, and peddlers; Long Island and other New York region farmers; fishermen harvesting the city's plentiful coastal and inland waterways; and, of course, the area's booming and diverse population of merchants, artisans, and laborers shopping daily at this marketplace.

scholarly journals Agglomeration Production, Industry Association and Carbon Emission Performance: Based on Spatial Analysis

2020 ◽  
Vol 12 (18) ◽  
pp. 7234 ◽  
Author(s):  
Hui Peng ◽  
Yifan Wang ◽  
Yisha Hu ◽  
Hong Shen
Keyword(s):  
Energy Conservation ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Large Scale ◽  
Trade Association ◽  
Emission Performance ◽  
Performance Factors ◽  
Agglomeration Externalities ◽  
Economic Agglomeration ◽  
Merchandise Trade

Current emission reduction policies have struggled to adapt to the reality of industrial spatial agglomeration and increasing industrial linkages. In response, this paper incorporates new economic geography factors such as agglomeration production and industrial (trade) association into the analysis framework of carbon emission performance factors through China’s provincial panel data and conducts empirical research. It has been found that large-scale industrial production under economic agglomeration is conducive to improving carbon emission performance and that different forms of agglomeration at different degrees of agglomeration correspond to different carbon emission performances. As the degree of agglomeration increases, the effect of reducing emissions by specialized agglomeration decreases while the effect of reducing emissions by diversified agglomeration increases. Specialized agglomeration externalities and diversified agglomeration externalities can coexist at the same time, depending on the appropriate degree of agglomeration. There is a strong negative environmental efficiency effect in the provinces with close commodity trade links, which has triggered environmental dumping and pollution transfer between provinces. In the work of energy conservation and emission reduction, we must attach great importance to the hidden carbon in domestic merchandise trade and the resulting intergovernmental environmental game, and furthermore, give full play to the “self-purification” effect of aggregate production on energy conservation and emission reduction.

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