Coupling and Coordinating Relationship between Agricultural Eco-Efficiency and Food Security System in China DOI Open Access
Ruixue Wang, Jiancheng Chen, Minhuan Li

и другие.

International Journal of Environmental Research and Public Health, Год журнала: 2022, Номер 20(1), С. 431 - 431

Опубликована: Дек. 27, 2022

Carbon peaking, carbon neutrality goals and food security are the basis of sustainable development, exploring coordination relationship between China’s agricultural eco-efficiency system has a major significance for implementation relevant strategies. This paper is based on collaboration research synergistic systems using methods such as entropy weight method, coupling model, spatial autocorrelation etc., revealing evolution-driven mechanism degree. study found that higher level always occurs in those areas with high standard farmland construction large grain production scale, while economically developed appear to have lower overall limited by endowment constraints division labor development planning. It shows positive correlation terms geographical distance security, spillover effect gradually increases but not strong overall. China should combine regional resource planning, pay attention improvement large-scale standardized production, continue strengthen clean achieve under peaking goals.

Язык: Английский

Sustainable food systems under environmental footprints: The delicate balance from farm to table DOI Creative Commons
Hui Niu,

Zhihe Li,

Chunhong Zhang

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 954, С. 176761 - 176761

Опубликована: Окт. 5, 2024

In today's world, agriculture is not only about food production but also a critical factor in global environmental change, economic stability, and human health, among other aspects. With population growth increasingly scarce resources, exploring sustainable development of systems has become crucial. Achieving this goal requires striking delicate balance security, development, ecological environment, health. Traditional approaches to agricultural research often focus solely on singular domains, overlooking the inherent connections interactions environmental, socioeconomic, health dimensions. This perspective limits our comprehensive understanding systems. Environmental footprint assessments can be integrated with economic, systemic, decision models analyze issues within integration accurately captures diversity, overlap, accumulation, heterogeneity pressures resulting from natural factors. Therefore, we propose an innovative conceptual framework that considers dimensions as crucial components, indicators at its core, link various stages farm table. constructs evidence gap map, integrating dispersed data perspectives existing literature, thus showing knowledge gaps across these domains. Such interdisciplinary approach provides more multidimensional complexity reveals potential synergies conflicts thereby guiding cautious policy-making. Importantly, it direction for future achieve systems, emphasizing necessity comprehensive, perspective, particularly strengthening studies composited footprints, viewing entire farm-to-table continuum holistically. Stakeholders must collaborate coordinate objectives drive

Язык: Английский

Процитировано

6

A novel framework for integrative assessment of water balance health in China DOI

Meishui Li,

Xiaohua Yang, Chongli Di

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 443, С. 141199 - 141199

Опубликована: Фев. 13, 2024

Язык: Английский

Процитировано

5

Evaluation of Water-Energy-Food-Ecology System Development in Beijing-Tianjin-Hebei Region from a Symbiotic Perspective and Analysis of Influencing Factors DOI Open Access
Shuyuan Liu,

Lichuan Wang,

Jin Lin

и другие.

Sustainability, Год журнала: 2023, Номер 15(6), С. 5138 - 5138

Опубликована: Март 14, 2023

Rapid economic and social development has created significant ecological resource problems in the Beijing-Tianjin-Hebei (BTH) region, making it necessary to identify ways of implementing sustainable regional development. The interactions between water, energy, food, ecology are characterized by a high degree relevance complexity. In studying relationships four systems depth choosing representative indicators for each system, comprehensive model water-energy-food-ecology (WEFE) system BTH region been established. coupling coordination was used analyze synergy relationship WEFE from 2001 2020. primary contributing elements determining linked were investigated using gray correlation model. According findings, Beijing’s total level shows gradual upward trend is excellent coordination; Hebei progressed most, experiencing change little good Tianjin had least improvement, only improving basic coordination. exploitation water resources protection environment aspects that have greatest impact on system. Additionally, synergistic growth significantly influenced economic, social, technological advancements industrial agricultural sectors. systems, which takes into consideration optimization many subsystems, provided this study as scientific foundation.

Язык: Английский

Процитировано

11

Coupled Coordination of the Water–Food–Energy System in Nine Provinces of the Yellow River Basin: Spatiotemporal Characteristics and Driving Mechanisms DOI Open Access
Lei Nie, Meng-Shan Wu, Zhifang Wu

и другие.

Water, Год журнала: 2025, Номер 17(7), С. 1040 - 1040

Опубликована: Апрель 1, 2025

This study focuses on the Yellow River Basin, a key economic region spanning nine provinces in China, and explores complex interactions within water–food–energy systems. Based theoretical framework of coupled coordination system, an indicator system is developed to assess these Using ArcGIS, identifies spatiotemporal characteristics coupling systems Basin. Additionally, panel data model employed analyze driving mechanisms optimization pathways for enhancing region. The results reveal that (1) degree between Basin varies significantly across space. (2) Overall, relatively low exhibits clustered pattern. (3) Research development (R&D) intensity significant factor influencing

Язык: Английский

Процитировано

0

The modeling framework of the coupled human and natural systems in the Yellow River Basin DOI Creative Commons
Shan Sang, Yan Li,

Shuang Zong

и другие.

Geography and sustainability, Год журнала: 2025, Номер unknown, С. 100294 - 100294

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Analysis of coupling coordination structural characteristics of water-energy-food-ecosystems based on SNA model: A case study in the nine provinces along the Yellow River, China DOI
Zhang Lin,

Xiaohui Jiang,

Yuehong Li

и другие.

Physics and Chemistry of the Earth Parts A/B/C, Год журнала: 2024, Номер 135, С. 103654 - 103654

Опубликована: Июнь 5, 2024

Язык: Английский

Процитировано

3

Evaluation and Impact Mechanism of High-Quality Development in China’s Coastal Provinces DOI Open Access
Xiaojie Wang,

Rongqing Han,

Minghua Zhao

и другие.

International Journal of Environmental Research and Public Health, Год журнала: 2023, Номер 20(2), С. 1336 - 1336

Опубликована: Янв. 11, 2023

With economic expansion having moderated to a “new normal” pace, the eastern coastal provinces have been given new historical task of high-quality development and become window frontier China’s development. By designing optimizing an index system levels using entropy-TOPSIS method, study selected 21 indicators, include vitality, residents’ living standards, innovation efficiency green development, took as example characteristics spatial-temporal variations in level from 2010 2020. Then, used obstacle degree model explore factors that are obstacles The results show presents “up-down-up” fluctuation, with increase 40.1%. In particular, standards dimension is higher, each province shows different degrees growth gradually tends balanced Shanghai, Jiangsu Province Zhejiang dominant position. spatial pattern areas distribution “high east low west, high north south”, which bipolar effect becoming more prominent, while regional synergistic standard obvious, “core-periphery” structure, there path-dependent time change, agglomeration produced by trickle-down space. high, main factor has changed insufficient output reduction scale foreign trade. addition, problems unreasonable industrial structure shortage per capita public cultural resources still exist. relatively developed economy, biggest vitality standards. backward efficiency, both similarities differences among provinces.

Язык: Английский

Процитировано

8

Study on the coupling coordination development of China’s multidimensional digital economy and industrial carbon emission efficiency DOI

Ruici Xia,

Danqi Wei,

Hongtao Jiang

и другие.

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(53), С. 114201 - 114221

Опубликована: Окт. 19, 2023

Язык: Английский

Процитировано

8

The coupling coordination between rural public services and rural tourism and its causative factors: The case study of southwestern China DOI Creative Commons

Shiqiao Fang,

Kaihang Ou, Jing Xiong

и другие.

PLoS ONE, Год журнала: 2023, Номер 18(8), С. e0290392 - e0290392

Опубликована: Авг. 24, 2023

Rural public services and rural tourism are interdependent, their coordinated development is crucial for promoting revitalization overall growth in China. So far, the existing studies mainly focus on mutual influence, promotion, coordination paths of but fail to conduct an empirical analysis coupling or summarize spatial temporal differences coordination. Therefore, we adopt evaluation index system tourism. To measure level degree southwestern China from 2012 2019, used a comprehensive model model. Additionally, geographic detectors were utilised detect causative factors development. Based research results, made following observations. In China, indicated upward trend. An additional interactive relationship between two systems observed, its increases, with increment varying slow rapid. The type changes lagging service type, there two. affected by multiple forces, such as economic, industrial, resource attraction, guarantee some distinguish driving strengths both single interaction factors. main contribution this article reveal tourism, explore affecting them, make relevant policy recommendations.

Язык: Английский

Процитировано

7

Spatiotemporal Evolution Characteristics and Driving Factors of Water-Energy-Food-Carbon System Vulnerability: A Case Study of the Yellow River Basin, China DOI Open Access
Lei Tong,

Mengdie Luo

Sustainability, Год журнала: 2024, Номер 16(3), С. 1002 - 1002

Опубликована: Янв. 24, 2024

With the growing influences of anthropogenic activities and climatic change, problem concerning vulnerability Water-Energy-Food-Carbon (WEFC) system in Yellow River Basin is prominent. Using VSD framework, WEFC evaluation index was constructed with 60 cities as samples, each city measured from 2010 to 2019. Kernel density estimation, Theil index, spatial correlation analysis were employed investigate spatio-temporal evolution characteristics. Geodetector utilized analyze driving factors vulnerability. The results demonstrate that: (1) tends decrease, a pattern “low middle high on both sides”; largest upper lower reaches, while smallest reaches. (2) difference narrows expanding differences among three major regions mainly originate within region, reaches having contribution; featured significant correlation, mostly displaying “high-high” agglomeration showing “low-low” one. (3) Factors, including carbon ecological carrying capacity coefficient, water resource development utilization rate, urbanization influence vulnerability; heterogeneity core drivers at regional scale obvious, being more strongly influenced by resources system, are sensitive industrial pollution energy subsystem. explanatory power its peak interaction increases strength impact This study provides decision support policy suggestions for achieving balanced coordinated utilization, development, food production, cycle Basin. Investigating SDG 11 provided valuable insights strategies building that inclusive, secure, resource-efficient, resilient face climate change disaster risks.

Язык: Английский

Процитировано

2