Did Polycentric and Compact Structure Reduce Carbon Emissions? A Spatial Panel Data Analysis of 286 Chinese Cities from 2002 to 2019

Zhu, Kai; Tu, Manya; Li, Yingcheng

doi:10.3390/land11020185

Cited by 28 publications

(9 citation statements)

References 42 publications

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“…In contrast, when a new center is developed, the "separation of occupation and residence" phenomenon is likely to increase urban commuting costs and promote CO 2 emissions. Our results show that higher polycentricity is usually associated with higher levels of CO 2 emissions in rapidly growing cities, which is consistent with the findings of Zhu et al [62]. At the same time, in line with Sha, Chen [28] and Sun et al [63], polycentric cities are often associated with low CO 2 emissions.…”

Section: Regression Results Using Panel Data Analysissupporting

confidence: 92%

Exploring the Effects of Socioeconomic Factors and Urban Forms on CO2 Emissions in Shrinking and Growing Cities

Huang,

Ou,

Huang

et al. 2023

Sustainability

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Exploring the mechanisms influencing carbon dioxide (CO2) emissions is crucial to seeking low-carbon development paths. Previous studies have analyzed the effects of socioeconomic factors and urban forms on CO2 emissions. However, little attention has been paid to the heterogeneity of their interactions in differing urban development patterns, such as growth and shrinkage. This study focused on how socioeconomic factors and urban forms work together to comprehensively affect CO2 emissions within the context of urban shrinkage and growth. A selection of 285 prefecture-level cities in China were divided into four groups of shrinking and growing cities based on a comprehensive index system. After assessing variables involving socioeconomic factors and urban forms, a panel data model was used to verify their mutual mechanisms influencing CO2 emissions. The results show that CO2 emissions in shrinking cities continue to rise due to the driving force of secondary industry and the coexistence of population loss and space expansion. For growing cities, in addition to economic development and population growth, urban forms with excessive compactness and polycentricity significantly accelerate CO2 emissions. Consequently, disorderly urban expansion should be avoided, and industrial upgrading should be promoted for shrinking cities. Meanwhile, growing cities are advised to develop modern service industries. Moreover, it is recommended that urban spatial planning follows urban functions and their development stages to avoid excessive agglomeration and polycentricity.

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Section: Regression Results Using Panel Data Analysissupporting

confidence: 92%

Exploring the Effects of Socioeconomic Factors and Urban Forms on CO2 Emissions in Shrinking and Growing Cities

Huang,

Ou,

Huang

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…f loor_area i,k and height i,k mean the floor area and height of building k in block i. type_number i,j reflects the number of public service facilities of type j in block i. base_popu i,l represents the number of mobile phone users recorded by the base station l in block i. Specifically, considering that the urban shadow area is a relative concept, we identify its spatial boundary through exploratory spatial data analysis, a method that has been commonly adopted in recent studies [34][35][36]. The technical route of this identification method is described as follows (Figure 4).…”

Section: The Methods Of Identifying Urban Shadow Areasmentioning

confidence: 99%

The Identification and Dynamics of Urban Shadow Areas from the Perspective of People Flows—A Case Study of Nanjing

Xiong,

Yang

2023

Buildings

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Urban shadow areas, formed by long-term unbalanced and inadequate development during the rapid process of urbanization, are of great significance to a city’s overall development. However, relatively little attention has been paid to identifying and characterizing urban shadow areas. Drawing upon a dataset on urban morphology and cellular signaling, and taking Nanjing as a case study, this paper proposes a method to identify urban shadow areas from the perspective of people flows. The empirical results show that there are 19 urban shadow areas within the downtown areas of Nanjing, 11 of which are distributed in the old downtown areas and the rest are relatively scattered in the periphery. As for morphological characteristics, these urban shadow areas differ from each other in terms of indicators such as building density and development intensity. Moreover, the empirical results show that these urban shadow areas are not isolated but closely connected with other parts of Nanjing. Based on the different spatio-temporal distribution patterns of their connections, the 19 urban shadow areas are divided into four types, and the characteristics of each type have been investigated by analyzing a representative shadow area. It is suggested that policies aiming to eliminate the negative effects of urban shadow areas should consider heterogeneity in their spatial distributions within a city, the temporal distribution of their external connections, and their dominant functions.

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“…They prevent excessive resource concentration and low resource efficiency and contribute to the sustainable development of the urban green economy. However, excessive multi-centralization may reduce economic efficiency and resource utilization; therefore, urban planners should limit the number of centers according to the city's development level [91,218].…”

Section: Urban Landscape Designmentioning

confidence: 99%

A Review of the Effects of Urban and Green Space Forms on the Carbon Budget Using a Landscape Sustainability Framework

Liu,

Fan,

Xue

2024

Sustainability

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Urban areas and green spaces are significant atmospheric carbon sources and sinks. Spatial planning is crucial for improving the urban carbon budget. However, there are many uncertainties due to the diversity and complexity of the effects of urban and green space forms on the carbon budget. As a result, the role of urban areas and green spaces in emission reduction and carbon sink increases remains ambiguous. We use a landscape sustainability framework and systematically review the literature from 2002 to 2022 to elucidate the interaction between urban and green space forms and the carbon budget. We focus on regional and landscape scales. Nine landscape planning indicators affecting urban area carbon emissions, four indicators affecting green space carbon sinks, and three indicators affecting the urban–green space ecotonal relationship and the carbon budget are derived. We analyze the causes of the differences between the studies and discuss the influences of the indicators on emission reduction, carbon sink increases, and sustainable development. We summarize the design and research of urban and green spaces and the urban–green space ecotone and provide suggestions for carbon emission reduction, carbon sink increases, and research directions for future studies.

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Did Polycentric and Compact Structure Reduce Carbon Emissions? A Spatial Panel Data Analysis of 286 Chinese Cities from 2002 to 2019

Cited by 28 publications

References 42 publications

Exploring the Effects of Socioeconomic Factors and Urban Forms on CO2 Emissions in Shrinking and Growing Cities

Exploring the Effects of Socioeconomic Factors and Urban Forms on CO2 Emissions in Shrinking and Growing Cities

The Identification and Dynamics of Urban Shadow Areas from the Perspective of People Flows—A Case Study of Nanjing

A Review of the Effects of Urban and Green Space Forms on the Carbon Budget Using a Landscape Sustainability Framework

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