Does Green Finance Enhance the Ecological Value Level of Cultivated Land? Evidence from Mainland China DOI Creative Commons
Ben Pei, Shulin Chen

Agriculture, Год журнала: 2024, Номер 14(12), С. 2310 - 2310

Опубликована: Дек. 17, 2024

The ecological value of cultivated land contributes to a harmonious agricultural environment. Green finance support is essential promoting the land. Nevertheless, research specifically centered on as primary focus remains limited in exploring relationship between and green finance, ignoring fact that can bolster functions drive sustainable practices. To address this gap, an objective indicator level was introduced, its variations at both provincial national levels from 2003 2022 were investigated. Results indicate increased over time, with higher values clustering spatially southern regions. Subsequently, specific spatial correlations revealed using Durbin model. results show enhanced level, lag term being particularly pronounced. These evident eastern regions but insignificant western Furthermore, detailed range indirect spillover effects estimated, demonstrating other provinces positive when geographic distance them close. In summary, these conclusions offer practical recommendations for eco-friendly management land, including strategies vertical collaboration central local administrations horizontal adaptation by governments east, central, west based conditions.

Язык: Английский

Temporal–Spatial Dynamics and Collaborative Effects of Cropland Resilience in China DOI Creative Commons
Liang Luo, Yetong Li, Wenjie Ma

и другие.

Land, Год журнала: 2025, Номер 14(1), С. 108 - 108

Опубликована: Янв. 8, 2025

Cropland resilience is the ability of cropland systems to adapt and rebound from multiple stresses disturbances. vital for ensuring national food security, promoting sustainable agricultural development, adapting global climate change. This study measures in China using entropy method within PSR framework. Additionally, it employs quantitative analysis methods, including kernel density estimation, standard deviation ellipse, Theil Index, geographical detector, systematically examine spatiotemporal dynamics its driving factors China. The findings reveal evolving trends over time space, highlighting regional differences spatial distribution resilience. found following: (1) overall shows an upward trend, but there uneven development among regions, particularly relatively lagging western areas. (2) There a notable imbalance resilience, primarily driven by intra-regional differences. (3) Stability Grain Production; Total Fiscal Expenditure on Agriculture, Forestry, Water; Soil–Water Harmony; Disaster Resistance Index are identified as key factors, with influence notably increasing time. (4) highlights critical role synergistic effects these enhancing noting significant strengthening synergies research results offer fresh perspective dynamic environments. They enhance our understanding characteristics underlying processes, provide scientific basis policymaking aimed at use management cropland.

Язык: Английский

Процитировано

1
Dynamics of Cropland Non-Agriculturalization in Shaanxi Province of China and Its Attribution Using a Machine Learning Approach DOI Creative Commons

Huiting Yan,

Hao Chen,

Fei Wang

и другие.

Land, Год журнала: 2025, Номер 14(1), С. 190 - 190

Опубликована: Янв. 18, 2025

Cropland is a critical component of food security. Under the multiple contexts climate change, urbanization, and industrialization, China’s cropland faces unprecedented challenges. Understanding spatiotemporal dynamics non-agriculturalization (CLNA) quantifying contributions its driving factors are vital for effective management optimal allocation land resources. This study investigated mechanisms CLNA in Shaanxi Province (SP), major grain-producing region China, from 2001 to 2020, using geospatial statistical analysis machine learning techniques. The results showed that, between approximately 17,200.8 km2 (8.4% total area) was converted non-cropland, with pronounced spatial clustering pattern. XGBoost-SHAP attribution revealed that among 15 selected factors, precipitation, road network density, rural population, population grain yield, registered slope length exerted most significant influence on SP. Notably, interaction effects these contributed more substantially than individual factors. These findings highlight regional disparities across SP, driven by complex interplay underscoring urgent need implement water-saving agricultural practices optimize land-use planning maintain dynamic balance ensure security region.

Язык: Английский

Процитировано

1
Driving forces of agricultural ammonia emissions in semi-arid areas of China: a spatial econometric approach DOI

Yunrui Ai,

Liyang Xue,

Yong Li

и другие.

Journal of Hazardous Materials, Год журнала: 2025, Номер 488, С. 137484 - 137484

Опубликована: Фев. 4, 2025

Язык: Английский

Процитировано

1
Pre-Season Precipitation and Temperature Have a Larger Influence on Vegetation Productivity than That of the Growing Season in the Agro-Pastoral Ecotone in Northern China DOI Creative Commons
Yuanyuan Zhang, Qingtao Wang, Xueyuan Zhang

и другие.

Agriculture, Год журнала: 2025, Номер 15(2), С. 219 - 219

Опубликована: Янв. 20, 2025

Climate change and human activities are reshaping the structure function of terrestrial ecosystems, particularly in vulnerable regions such as agro-pastoral ecotones. However, extent to which climate impacts vegetation growth these areas remains poorly understood, largely due modifying effects human-induced land cover changes on sensitivity climatic variations. This study utilizes satellite-derived indices, datasets, data investigate influence both ecotone northern China (APENC) from 2001 2022. The results reveal that productivity, indicated by kernel Normalized Difference Vegetation Index (kNDVI), varies depending type APENC. Moreover, ridge regression modeling shows pre-season conditions (i.e., precipitation temperature) have a stronger positive impact growing-season productivity than growing season temperature, while effect vapor pressure deficit (VPD) is negative. Notably, kNDVI exhibits significant (p < 0.05) 34.12% region negative VPD 38.80%. model explained 89.10% total variation (R2 = 0.891). These findings not only emphasize critical role historical contemporary shaping but also provide valuable insights into how adjust agricultural animal husbandry management strategies improve regional adaptation based information previous seasons fragile regions.

Язык: Английский

Процитировано

0
Impact of human activities on the propagation dynamics from meteorological to hydrological drought in the Nenjiang River Basin, Northeast China DOI Creative Commons

Xubo Geng,

Xiaoping Lei, Xiaoyan Song

и другие.

Journal of Hydrology Regional Studies, Год журнала: 2025, Номер 58, С. 102214 - 102214

Опубликована: Фев. 6, 2025

Язык: Английский

Процитировано

0
Cropland Loss Under Different Urban Expansion Patterns in China (1990–2020): Spatiotemporal Characteristics, Driving Factors, and Policy Implications DOI Creative Commons

C. Feng D.H. Mao,

Shanshan Feng,

Chuanqing Zhou

и другие.

Land, Год журнала: 2025, Номер 14(2), С. 343 - 343

Опубликована: Фев. 8, 2025

It is well established that China’s rapid urban expansion has led to a substantial loss of cropland. However, few studies have examined how different patterns contribute cropland consumption, which hindered the formulation sustainable development and protection policies. To fill this gap, we analyzed occupation under three (leap-frogging, edge-spreading, interior filling) in China from 1990 2020, using long-term land use data. The dominant driving forces were then explored XGBoost model SHAP values. Our findings indicate 2020 resulted 6.3% reduction cropland, with edge-spreading (4.0%) contributing most, followed by leap-frogging (2.1%) filling (0.2%). Change intensity (CUI) proved be most critical driver loss, values 0.38, 0.28, 0.37 for leap-frogging, filling, respectively. Over time, evolved single demographic-economic dominance more diversified integrated set drivers. Based on these findings, propose tailored planning policies patterns; regions dominated stricter controls boundaries stronger constraints are required. For prominent expansion, efforts should made improve internal efficiency while preserving existing spaces. In characterized further optimization construction allocation needed reduce productive suburban These not only offer new empirical evidence understanding interplay between conservation but also provide transferable insights can inform land-use strategies other rapidly urbanizing facing similar challenges.

Язык: Английский

Процитировано

0
Spatiotemporal Heterogeneity of Eco-Efficiency of Cultivated Land Use and Its Influencing Factors: Evidence from the Yangtze River Economic Belt, China DOI Open Access
Kun Zeng, Xiong Duan, Bin Chen

и другие.

Sustainability, Год журнала: 2025, Номер 17(7), С. 3070 - 3070

Опубликована: Март 31, 2025

For the purpose of providing crucial theoretical support for guaranteeing food security and reaching low-carbon emissions, this study examines spatiotemporal evolution influencing factors eco-efficiency cultivated land use (ECLU) across 125 cities in Yangtze River Economic Belt (YREB) from 2005 to 2022. Utilizing models such as Super-SBM, spatial autocorrelation, standard deviational ellipse, regionally weighted regression, we investigate characteristics factors. The results indicate that (1) 2022, overall ECLU YREB has shown a notable increase, demonstrating an “N”-shaped trend “rise-decline-rise”, although trends vary at city level, with upstream areas exhibiting higher efficiency than downstream midstream areas. (2) Furthermore, significant positive correlation exists among cities, pronounced differentiation; centroid displays migration trajectory “southwest-northeast-southwest”, long axis ellipse consistently oriented “southwest-northeast” direction. (3) Additionally, exhibit heterogeneity different years regions, revealing substantial regional disparities YREB. Future efforts should focus on exploring differentiated pathways, increasing investment agricultural technology, enhancing farmers’ environmental awareness promote improvement ECLU.

Язык: Английский

Процитировано

0
Evaluation of comprehensive benefits and the degree of coupling coordination for soil health products: a case study in Weifang City, China DOI Creative Commons
Yuhu Cui, Jie Zhang, Xinxin Xie

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Does Green Finance Enhance the Ecological Value Level of Cultivated Land? Evidence from Mainland China DOI Creative Commons
Ben Pei, Shulin Chen

Agriculture, Год журнала: 2024, Номер 14(12), С. 2310 - 2310

Опубликована: Дек. 17, 2024

The ecological value of cultivated land contributes to a harmonious agricultural environment. Green finance support is essential promoting the land. Nevertheless, research specifically centered on as primary focus remains limited in exploring relationship between and green finance, ignoring fact that can bolster functions drive sustainable practices. To address this gap, an objective indicator level was introduced, its variations at both provincial national levels from 2003 2022 were investigated. Results indicate increased over time, with higher values clustering spatially southern regions. Subsequently, specific spatial correlations revealed using Durbin model. results show enhanced level, lag term being particularly pronounced. These evident eastern regions but insignificant western Furthermore, detailed range indirect spillover effects estimated, demonstrating other provinces positive when geographic distance them close. In summary, these conclusions offer practical recommendations for eco-friendly management land, including strategies vertical collaboration central local administrations horizontal adaptation by governments east, central, west based conditions.

Язык: Английский

Процитировано

0