Does economic agglomeration affect the sustainable intensification of cultivated land use? Evidence from China

Hou, Xianhui; Yin, Yuqing; Zhou, Xin; Zhao, Minjuan; Yao, Lan; Zhang, Daojun; Wang, Xiangdong; Xia, Chuyu

doi:10.1016/j.ecolind.2023.110808

Cited by 4 publications

(3 citation statements)

References 79 publications

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“…On the other hand, CLIU in urban agglomerations is influenced not only by internal factors in the cropland use system but also by the level of intensive regional land use. First, the comprehensive development and construction of urban agglomerations has influenced society, the economy, and the ecological environment; improvements in the urbanization rate and the agglomeration of economic scale have benefited the efficiency and sustainable utilization of cultivated land in urban agglomerations [34,35]. Improvements in the internal efficiency of cultivated land utilization systems have transformed and driven the sustainable development of CLIU.…”

Section: Construction Of the Evaluation System 231 Construction Of A ...mentioning

confidence: 99%

“…Furthermore, the material flow method and Tobit model were used to evaluate CLIU at the household scale [32]. In addition, the use of econometric models and spatial econometric models to explore the economic relationship between urbanization level and farmland utilization efficiency [33], as well as economic agglomeration and sustainable intensification of farmland [34], provides a new paradigm for exploring the transformation of CLIU.…”

Section: Introductionmentioning

confidence: 99%

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Spatial Heterogeneity and Driving Mechanisms of Cultivated Land Intensive Utilization in the Beibu Gulf Urban Agglomeration, China

Zhang,

Zhang

2024

Sustainability

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Cultivated land intensive utilization (CLIU) exhibits spatial heterogeneity that is influenced by both natural and anthropogenic factors, with land dissected into different scale systems; however, CLIU has not yet been systematically explored. This study takes the Beibu Gulf urban agglomeration, a national-level model area for integrated land and sea development in China, as an example to investigate the spatial heterogeneity of CLIU and explore its driving factors through multiple econometrical and geographical methods, including identifying its underlying mechanisms. The results indicate that (1) the CLIU index is 0.334, its Gini coefficient is 0.183, and its comprehensive level has a low intensity and obvious spatial nonequilibrium characteristics. Hypervariable density (50.33%) and the intraprovincial gap (45.6%) are the main sources. (2) Among the independent effects of single factors, the multiple cropping index (0.57), labor force index (0.489), and intensification of construction land (0.375) exert the most influence on CLIU spatial variation. The interaction effects of two factors primarily manifested as nonlinear enhancements, with the interaction between the labor force index and multiple cropping index being particularly noteworthy (0.859). (3) The geographically weighted regression coefficients reveal that temperature (0.332), multiple cropping index (0.211), and labor force index (0.209) have relatively large and positive impacts on CLIU, while slope (−0.1), precipitation (−0.087), and population urbanization (−0.039) have relatively small and negative impacts; all factors exhibit spatial nonstationarity. The spatial heterogeneity of CLIU in the Beibu Gulf urban agglomeration is characterized by patterns’ nonequilibrium and factors’ nonstationarity. The driving mode of multiple factors on CLIU is manifested as follows: natural factors of cropland utilization provide basic guarantees, internal factors of CLIU provide positive enhancement, and external factors of land intensive utilization provide auxiliary promotion.

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Section: Construction Of the Evaluation System 231 Construction Of A ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial Heterogeneity and Driving Mechanisms of Cultivated Land Intensive Utilization in the Beibu Gulf Urban Agglomeration, China

Zhang,

Zhang

2024

Sustainability

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“…Judging from the evaluation index and coordination degree, the agricultural development among cities is unbalanced. Studies have shown that an agricultural development model solely pursuing economic growth is unsustainable [85][86][87]. This model often causes social and environmental damage, resulting in uncoordinated development among various urban sustainable agricultural development subsystems [88][89][90].…”

Section: Comparison With Previous Studiesmentioning

confidence: 99%

Coordination Analysis of Sustainable Agricultural Development in Northeast China from the Perspective of Spatiotemporal Relationships

Yang,

Yan,

2023

Sustainability

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The coordination of sustainable agricultural development is essential for optimizing agricultural policies and ensuring food security. However, only a few studies have examined the temporal and spatial aspects of the coordination of sustainable agricultural development systems in Northeast China. This study proposed a theoretical framework based on the dissipative structure theory, which suggests that the coordination among the four subsystems of economy, society, resources, and technology plays a crucial role in determining the level of sustainable agricultural development in Northeast China (SADINC). Then, the present study took socioeconomic statistical data as data sources and integrated administrative division data using the ArcGIS platform, forming spatial data for municipal-level units of SADINC from 2000 to 2020. The entropy weight method was applied to analyze the change in sustainable agricultural development, while the coordination degree model was used to analyze the coordination among different subsystems. The main results showed a general increase in the index of SADINC. The central part of the study area generally exhibits higher urban economic and resource indices, while the southern region exhibits higher urban social and technological indices. The average coordination degree of SADINC decreased from 1.736 to 1.639, representing a decline of 0.097. Moreover, the spatial polarization in most cities’ coordination degrees and subsystem indicators is not pronounced. However, there are characteristics of high-high agglomeration and low-low agglomeration. The high-high aggregation of the coordination degree shows a dispersal pattern from the large-scale agglomeration in the south-east to the central part. The distribution of low-low agglomeration transforms from large-scale agglomeration in the west to small-scale agglomeration in the northeast. The implementation of agricultural policies has dramatically impacted the increase in the index of each subsystem in Northeast China from 2000 to 2022. However, it is crucial to ensure coordination among the subsystems. Therefore, future policies should focus on strengthening the coordination among the economic, social, resource, and technology subsystems to achieve sustainable agricultural development.

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Spatiotemporal variation and evolutionary analysis of the coupling coordination between urban social-economic development and ecological environments in the Yangtze River Delta cities

Zhang,

Jin,

et al. 2024

Sustainable Cities and Society

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Does economic agglomeration affect the sustainable intensification of cultivated land use? Evidence from China

Cited by 4 publications

References 79 publications

Spatial Heterogeneity and Driving Mechanisms of Cultivated Land Intensive Utilization in the Beibu Gulf Urban Agglomeration, China

Spatial Heterogeneity and Driving Mechanisms of Cultivated Land Intensive Utilization in the Beibu Gulf Urban Agglomeration, China

Coordination Analysis of Sustainable Agricultural Development in Northeast China from the Perspective of Spatiotemporal Relationships

Spatiotemporal variation and evolutionary analysis of the coupling coordination between urban social-economic development and ecological environments in the Yangtze River Delta cities

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