Spatiotemporal evolution pattern and simulation of the coupling of carbon productivity and land development in the Yangtze River Delta, China

Feng, Xiaogang; Li, Yan; E, Yu; Yang, Jiayu; Wang, Shiyi; Yuan, Weining

doi:10.1016/j.ecoinf.2023.102186

Cited by 14 publications

(2 citation statements)

References 88 publications

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“…Additionally, scholars have examined food security through the lenses of food functional regions [12], administrative divisions in the eastern, middle, and western regions [13], national income levels [14], and industrial chain links [15]. Others have explored the regional heterogeneity of food security by examining the perspective of the Hu line and food production types [16,17], incorporating the spatial differences across various geographical regions.…”

Section: Literature Reviewmentioning

confidence: 99%

Do Factor Misallocations Affect Food Security? Evidence from China

Jiang,

Zhong,

Gao

et al. 2024

Agriculture

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The reasonable allocation of grain production factors is of vital importance to food security and agricultural development. To assess the impact of agricultural factor misallocation on food security, this paper, based on the panel data from China spanning from 2005 to 2019, conducted a comprehensive evaluation of agricultural factor misallocation and food security coefficients across 31 provinces in China, using a spatial Durbin model to examine the effects of factor misallocations on food security. The findings are as follows: (1) Production factor misallocation has significant negative impacts on food security, among them, capital misallocation and labor misallocation inhibiting food security in the local and neighboring areas, and land misallocation has a significant negative impact on food security in local areas, while its spatial spillover effect is no longer significant. (2) Mechanism analysis shows that capital misallocation and labor misallocation hinder the development of transportation infrastructure and the transfer of rural labor, thereby reducing food security. Land misallocation has accelerated the construction of transportation infrastructure, promoted the migration of rural labor, and helped ensure food security. (3) The regional heterogeneity test reveals that capital misallocation and labor misallocation hinder food security in major grain-producing areas and both sides of the Hu Huanyong Line (Hu Line). Meanwhile, land misallocation hinders food security development in various grain-producing areas, as well as the southeast of the Hu Line. Based on the above conclusions, this paper proposes suggestions to improve the efficiency of land and labor resource allocation, accelerate the construction of transportation infrastructure, and encourage the transfer speed of surplus agricultural labor.

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Section: Literature Reviewmentioning

confidence: 99%

Do Factor Misallocations Affect Food Security? Evidence from China

Jiang,

Zhong,

Gao

et al. 2024

Agriculture

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“…σ convergence implies that the dispersion of LUEE in different regions decreases over time. The coefficient of variation was chosen to measure the dispersion of the data in this study [76,77] and is calculated as follows.…”

Section: Convergence Analysismentioning

confidence: 99%

Temporal–Spatial Variations and Convergence Analysis of Land Use Eco-Efficiency in the Urban Agglomerations of the Yellow River Basin in China

Kong

et al. 2023

Sustainability

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Achieving synergistic development of efficient urban land use and the natural environment is crucial in promoting green urbanization. The assessment of land use eco-efficiency (LUEE) and its temporal–spatial changes provides an effective means of quantifying the relationship between the urban ecological environment and land use. Targeting 55 selected cities in the Yellow River Basin (YRB), in this study, we utilize the Super-EBM method to gauge the LUEE. We explore the temporal patterns and the spatial convergence of LUEE utilizing kernel density estimation and spatial econometric methods. Considering the resource and environmental costs of land use, we assumed the industrial pollutant emissions generated during urban land use as the undesired outputs and designed a framework for measuring the level of LUEE under double constraints, which theoretically revealed the formation process and spatial convergence mechanism of LUEE. The results show the following: (1) Throughout the sample period, the LUEE of the YRB urban agglomeration decreased from 0.158 in 2009 to 0.094 in 2020, indicating a decreasing spatial disparity in LUEE over time. Notably, the Lanxi urban cluster exhibited the largest gap in LUEE, whereas the Guanzhong Plain urban agglomeration displayed the smallest gap. The hyper-variable density exceeded the inter-group gap as the main factor leading to the difference in LUEE. (2) Although the LUEE of urban agglomerations has increased, there still exists a noticeable polarization phenomenon. (3) The LUEE of YRB demonstrates a pattern of conditional convergence and exerts a significant spatial spillover effect. Over time, the LUEE of YRB will tend towards an individual steady state. The findings have implications for strengthening linkage and synergy among cities in YRB, promoting factor integration across administrative regions, and formulating heterogeneous policies.

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Accounting for Land Use Carbon Emissions Considering Differences in Wetland Types to Support the Achievement of SDG 13.2.2

Zhang,

Lin,

et al. 2024

Land Degrad Dev

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In recent years, the relentless rise in global greenhouse gas (GHG) emissions has escalated climate change. Land‐use changes, particularly those involving wetlands, significantly impact GHG emissions. However, previous studies on land‐use carbon emissions often overlooked the specific contributions of different wetland types. This study aims to assess these differential contributions and explore strategies for managing GHG emissions (SDG 13.2.2) within the United Nation's sustainable development goals. The study used the Demonstration Zone of Green and Integrated Ecological Development of the Yangtze River Delta (demonstration area) in China as a case study to accurately classify wetland types from 2016 to 2022. Wetland classification was achieved using Sentinel‐2 remote sensing imagery and parameters such as NDVI and NDWI with the application of machine learning algorithms. To explore effective carbon management strategies, a scenario analysis method was employed to simulate future carbon emission trends under various management measures based on current emission status. The results revealed significant differences in carbon emissions among wetland types. From 2016 to 2022, ponds exhibited the highest total and growth rate of carbon emissions among all wetland types, while paddy fields alone showed a decreasing trend. Through enhanced natural wetland protection, optimized management, and reduced use of chemical fertilizers and pesticides, direct carbon emissions in the demonstration area were reduced by 2.61 × 105 t. Accurate wetland classification and differentiated management are crucial for carbon accounting and formulating effective reduction strategies. This study offers new insights into the sustainable development of the Yangtze River Delta.

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Spatiotemporal evolution pattern and simulation of the coupling of carbon productivity and land development in the Yangtze River Delta, China

Cited by 14 publications

References 88 publications

Do Factor Misallocations Affect Food Security? Evidence from China

Do Factor Misallocations Affect Food Security? Evidence from China

Temporal–Spatial Variations and Convergence Analysis of Land Use Eco-Efficiency in the Urban Agglomerations of the Yellow River Basin in China

Accounting for Land Use Carbon Emissions Considering Differences in Wetland Types to Support the Achievement of SDG 13.2.2

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