Exploring potential of urban land-use management on carbon emissions—— A case of Hangzhou, China

Xia, Chuyu; Zhao, Jing; Xue, Fei; Li, Qiang; Fang, Kai; Shao, Zhuang; Zhang, Jian; Li, Song; Zhou, Jun

doi:10.1016/j.ecolind.2023.109902

Cited by 53 publications

(15 citation statements)

References 54 publications

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“…Their results show that the cities with high land supply and carbon emissions were mainly resource-based or economic priority development cities. Xia et al (2023) have found that the impact of land use patterns on carbon emissions is mainly affected by the long-term urban land use management. In addition, Li et al (2023) and Wang et al (2020) also found that construction land scale, industrial land marketization and land finance have a direct or indirect impact on carbon emissions.…”

Section: Urbanization Land-use and Carbon Emissionsmentioning

confidence: 99%

Study on the impact of hometown resource endowment on farmers’ rural-urban migration decisions against the background of “dual carbon”

Gao,

Shen,

Yang

et al. 2024

Front. Environ. Sci.

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This study investigates the impact of hometown resource endowment on farmers’ rural-urban migration decisions within the context of “Dual Carbon” policies. It aims to understand the factors influencing migration decision-making amidst the dynamics of urban and rural land occupation, particularly focusing on the role of hometown resource endowments led by homesteads. Using data from the China Migrants Dynamic Survey (CMDS), this study analyzes the influence of hometown resource endowment, primarily residential land, on farmers’ migration decisions. Ownership of homesteads and contracted land significantly affects farmers’ settlement in cities, while the dividend effect from village collectives is negligible. Additionally, the administrative level of the hometown serves as a significant factor in migration decision-making, particularly in family migration. Homestead and contracted land ownership negatively impacts both household and individual migration decisions. Specifically, owning homesteads exerts a greater influence on whole family migration decisions, reducing the probability of settling in cities by 21.1%. Regional comparative analysis reveals varying effects of owning homesteads and contracted land. While it positively influences household migration to cities in the eastern region, it inhibits migration in the central and western regions. The findings highlight the complex interplay between hometown resource endowment, land use patterns, and rural-urban migration decisions. Understanding these dynamics is crucial for designing effective policies to address migration challenges in the context of environmental and socioeconomic transitions.

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Section: Urbanization Land-use and Carbon Emissionsmentioning

confidence: 99%

Study on the impact of hometown resource endowment on farmers’ rural-urban migration decisions against the background of “dual carbon”

Gao,

Shen,

Yang

et al. 2024

Front. Environ. Sci.

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“…After 2015, the higher risk in the midstream Jiayuguan city may be due to pollution and desertification of its arable land due to urbanization [37], while the higher risk in the midstream Minle county may be due to the lagging construction of its government department management system and underdeveloped modern agricultural technology, etc. [38][39][40][41][42][43][44][45][46][47][48].…”

Section: The Relationship Between Water and Land Matching And Water A...mentioning

confidence: 99%

Agroecological Risk Assessment Based on Coupling of Water and Land Resources—A Case of Heihe River Basin

Zhou

Zhao

et al. 2023

Land

Self Cite

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In the arid zone of northwest China, the Heihe River Basin (HRB), as a typical inland river basin, has a fragile regional ecological environment, obvious ecological degradation characteristics, and extremely serious problems in the utilization of agricultural land resources. Meanwhile, the shortage of water resources, the low reduction of land quality, and excessive agricultural activities have greatly increased the local water and land pressure. In this paper, firstly, using the Malmquist DEA model and coupling coordination degree model, the agroecological risk assessment system on account of the coupling of water and land resources (WLR) is constructed. Secondly, taking HRB from 1995 to 2020 as an example, we carry out spatial correlation analysis based on the degree of risk-correlated WLR. Thirdly, we analyze the evolution process and spatial correlation of ecological risk of agricultural WLR in the HRB at the county scale, then we conclude and put forward policy suggestions for improvement. The results show that: (1) On the whole, the average ecological risk of agricultural water resources in the HRB from 1995 to 2020 was 0.933, indicating that the risk was declining; the average ecological risk of agricultural land resources in the HRB from 1995 to 2020 was 0.938, indicating that the risk was declining also. (2) The degree of ecological risk coupling and coordination of agricultural soil and water resources upstream of the HRB is on the rise, while that in the middle and lower reaches is on the decline. (3) Through panel model analysis, the matching suitability of WLR drives agroecological risk. The correlation between them is positive. In conclusion, this method can effectively evaluate the agroecological risk of WLR and provide technical support for agricultural production and management in arid areas.

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“…The results demonstrate that urban land-use patterns, density of road intersections, and layout of green spaces have a significant impact on ULSCE [11]. For example, Xia et al, discovered that compact, intensive, and composite land-use patterns help to reduce ULSCE and other air pollutants, whereas the expansion of construction and industrial land is not conducive to mitigating carbon emissions [12]. Combining multi-source big data, such as mobile signaling data, and points-of-interest data, Cui et al, analyze the impact of the residential and industrial land ratio and the number of public transportation stations on ULSCE at the traffic analysis zone level [13].…”

Section: Introductionmentioning

confidence: 99%

Spatial Characteristics and Influencing Factors of Multi-Scale Urban Living Space (ULS) Carbon Emissions in Tianjin, China

Zhang,

Liao,

Yin

et al. 2023

Buildings

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Urban living space (ULS) is known to be a significant contributor to carbon emissions. However, there is a lack of studies that have considered the impact of spatial organization indexes (SOIs) of various scales on urban living space carbon emissions (ULSCE), and so far, no definitive conclusions have been reached. To address this gap, taking Tianjin as an example, the measurement methods of ULSCE and SOI at different scales were proposed, and a random forest model was constructed to explore the effects of SOI on ULSCE. The results indicated that on the district scale, Beichen had the highest carbon emissions and absorption in 2021, with carbon emissions reaching 1.43 × 108 t and carbon absorption at 7.29 × 105 kg. In terms of area scale, the comprehensive service area had the highest carbon emissions at 3.57 × 108 t, accounting for 47.70%, while the green leisure area had the highest carbon absorption at 5.76 × 105 kg, accounting for 32.33%. At the block scale, the industrial block had the highest carbon emissions at 1.82 × 108 t, accounting for 54.02%, while the forest block had the highest carbon absorption at 1.25 × 106 kg, accounting for 91.33%. Each SOI had varying impacts, with the industrial land ratio (ILR) having the highest order of importance at the area scale, followed by road network density (RND), residential land ratio (RLR), bus station density (BSD), public service facilities land ratio (PLR), land mixing degree (LMD), open space ratio (OSR), and commercial land ratio (CLR). ILR, RND, and RLR were particularly important, each exceeding 10%, with importance values of 50.66%, 17.79%, and 13.17%, respectively. At the block scale, building area (BA) had the highest importance, followed by building density (BD), building height (BH), land area (LA), and floor area ratio (FAR). BA and BD were particularly important, with values of 27.31% and 21.73%, respectively. This study could serve as both theoretical and practical guidance for urban planning to aid the government in developing differentiated carbon emissions reduction strategies that can mitigate the heat island effect and promote low-carbon healthy urban planning.

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Exploring potential of urban land-use management on carbon emissions—— A case of Hangzhou, China

Cited by 53 publications

References 54 publications

Study on the impact of hometown resource endowment on farmers’ rural-urban migration decisions against the background of “dual carbon”

Study on the impact of hometown resource endowment on farmers’ rural-urban migration decisions against the background of “dual carbon”

Agroecological Risk Assessment Based on Coupling of Water and Land Resources—A Case of Heihe River Basin

Spatial Characteristics and Influencing Factors of Multi-Scale Urban Living Space (ULS) Carbon Emissions in Tianjin, China

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