Application of Environmental Change Efficiency to the Sustainability of Urban Development at the Neighborhood Level

Kuo, H. F.; Tsou, Ko Wan

doi:10.3390/su70810479

Cited by 21 publications

(5 citation statements)

References 89 publications

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“…availability and practicality at the neighborhood level, three final indicators were selected: surface temperature [15][16][17]31], surface runoff [2,11,12,14,31] and habitat diversity [9,10,13,31,32].…”

Section: Study Areamentioning

confidence: 99%

Modeling and Simulation of the Future Impacts of Urban Land Use Change on the Natural Environment by SLEUTH and Cluster Analysis

Kuo

Tsou

2017

Sustainability

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Abstract:Changing land use and urban expansion are key drivers of global environmental change, which are inevitable consequences of economic and social development for many cities. Most land use changes have a negative impact on the natural environment, especially due to their effects on surface temperature, runoff and habitat diversity. Due to the limitation of local government funding and expenditure, it is a challenge for developing countries to create strategies for urban sustainability. This study provided a systematic assessment method for simulating and analyzing the future impacts and spatial patterns of urban growth via cellular automata and cluster analysis. We used Tainan as a study area and compared the impact of future urban spatial development during two periods : 1993-2008 and 2008-2030. The results indicate that the impact of this development on the natural environment can be divided into six clusters. With an increased distance from the city center, there were increased changes in surface temperature and a decreased amount of runoff. These results indicate the occurrence of urban expansion, with habitat diversity being greater in areas governed by policies or ordinances.

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Section: Study Areamentioning

confidence: 99%

Modeling and Simulation of the Future Impacts of Urban Land Use Change on the Natural Environment by SLEUTH and Cluster Analysis

Kuo

Tsou

2017

Sustainability

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“…In terms of the influencing factors of ULGUE, previous research is usually focused on four aspects: economic factors (Hu and Qian, 2017), social factors (Nesru et al, 2021;Zhao et al, 2021;Zhao and Jiang, 2022), traffic location (Desalvo and Su, 2017), and policy factors (Macedo., 2008;Wang and Chi-Man, 2017). Besides, there have also been some studies concerning the internal relationship of industrialization (Ghosh and Chifos, 2017;Bird andVenables, 2020), urbanization (Hsing-Fu andKo-Wan, 2015;Marco et al, 2015), regional integration (Cancello et al, 2020) with ULGUE. In the above studies, the econometric model was the mostly used tool to analyze issues related to ULGUE, mainly including the parametric method represented by stochastic Frontier production function model (Dong et al, 2020;Liu S C et al, 2020;, the non-parametric method represented by Data Envelopment Analysis (DEA) model (Fang et al, 2013;Chen et al, 2021;Liu et al, 2021;Ruan et al, 2022), SBM model and its improved model (Lin and Ling, 2021;Tang et al, 2021;.…”

Section: Literature Reviewmentioning

confidence: 99%

Effect of ecological civilization pilot demonstration area construction on urban land green use efficiency

Wang

2023

Front. Environ. Sci.

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Improvement of urban land green use efficiency (ULGUE) in the context of sustained economic growth is a major challenge for the regional sustainable development and ecological civilization construction in China. This study measures the ULGUE of 263 cities in China at the prefecture or above level, clarifies its spatio-temporal changes, investigates the effect of ecological civilization pilot demonstration area construction on ULGUE with the multi-period PSM-DID model and spatial Durbin difference model, and evaluates the spatial spillover effect of the policy. The results show that: 1) In terms of spatio-temporal changes, ULGUE shows a steady upward trend with time. From 2006 to 2019, the national mean value of ULGUE increases from 0.5284 to 0.6439, with an increase rate of 21.86%; in the spatial dimension, ULGUE is characterized by a pattern of eastern > national > central > western. 2) Ecological civilization pilot demonstration area construction has significantly improved the ULGUE of pilot cities by about 0.12% relative to that of non-pilot cities, which was validated by the robustness test. 3) Ecological civilization pilot demonstration area construction has significant positive spillover effects on the ULGUE of neighboring cities, which are related to the urban characteristics such as geographical location, resource endowment, and environmental protection intensity. 4) Ecological civilization pilot demonstration area construction has certain heterogeneity in its effect on ULGUE in different regions and cities, with a more significant promoting effect for non-eastern regions, non-resource-based cities, and non-key cities of environmental protection. Therefore, it is necessary to summarize the successful experience of ecological civilization pilot demonstration area construction and fully consider differential policies, so as to maximize the policy dividends while strengthening regional linkage, and further contribute to national popularization of this policy.

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“…us, the measurement result is the comprehensive utilization efficiency of total factor productivity. It could be called capital utilization efficiency or labor utilization efficiency, as well as land utilization efficiency [5,36,37]. He et al used the added value of the secondary and tertiary industries per square kilometer as the indicator of land use efficiency and the dependent variable [35].…”

Section: E Connotation Of Land Utilization Efficiency Evaluation Ismentioning

confidence: 99%

Investigating the Spatiotemporal Disparity and Influencing Factors of Urban Construction Land Utilization Efficiency: Empirical Evidence from Panel Data of China

Zhou

Zhang

Song

2021

Advances in Civil Engineering

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This paper corrected the long-term misunderstanding of the land utilization efficiency concept. The Undesirable-Window-DEA model, Dagum Gini coefficient, and spatial panel autoregressive model with fixed effect were used to explore the spatial heterogeneity and influencing factors of urban construction land utilization efficiency in China from 2004 to 2016. The results show the following: (1) China’s overall utilization of urban construction land is still at a low level. It decreased first and then rose, with a “flat V-shaped” evolution pattern. (2) During the study period, the Gini coefficient of urban construction land utilization efficiency for all provinces decreased first, then rose, and decreased again. The utilization efficiency Gini coefficients within provincial grouping were eastern region (0.063), central region (0.101), and western region (0.128). The Gini coefficients within provincial grouping were central versus western (0.121), eastern versus western (0.161), and eastern versus central (0.168). For the contribution to overall inequality of land utilization efficiency, the inequality within groups contributes the most (57.57%), and the inequality between groups accounts for about 25.62%. The overall efficiency is improved, with an evolution pattern of “difference narrowed–differences expanded–difference narrowed.” (3) “economic development,” “industrial structure,” “research development investment,” and “land urbanization level” have significantly positive effect on urban construction land utilization efficiency, while other factors have a negative effect, including “urbanization level of population,” “urban population density,” “cultivated field resources level,” “government influence level,” “land urbanization level,” and “financial dependence level.” This study could provide theoretical support for the implementation of cross-provincial/regional urban construction land quotes reallocation and differential construction land management policies.

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Application of Environmental Change Efficiency to the Sustainability of Urban Development at the Neighborhood Level

Cited by 21 publications

References 89 publications

Modeling and Simulation of the Future Impacts of Urban Land Use Change on the Natural Environment by SLEUTH and Cluster Analysis

Modeling and Simulation of the Future Impacts of Urban Land Use Change on the Natural Environment by SLEUTH and Cluster Analysis

Effect of ecological civilization pilot demonstration area construction on urban land green use efficiency

Investigating the Spatiotemporal Disparity and Influencing Factors of Urban Construction Land Utilization Efficiency: Empirical Evidence from Panel Data of China

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