Spatial-temporal dynamics of grain yield and the potential driving factors at the county level in China DOI
Jiawei Pan, Yiyun Chen, Yan Zhang

et al.

Journal of Cleaner Production, Journal Year: 2020, Volume and Issue: 255, P. 120312 - 120312

Published: Jan. 30, 2020

Language: Английский

Agricultural labor changes and agricultural economic development in China and their implications for rural vitalization DOI
Li Ma, Hualou Long, Yingnan Zhang

et al.

Journal of Geographical Sciences, Journal Year: 2019, Volume and Issue: 29(2), P. 163 - 179

Published: Jan. 8, 2019

Language: Английский

Citations

67

Eco-efficiency of grain production in China based on water footprints: A stochastic frontier approach DOI
Jianfeng Song, Xiaonan Chen

Journal of Cleaner Production, Journal Year: 2019, Volume and Issue: 236, P. 117685 - 117685

Published: July 18, 2019

Language: Английский

Citations

67

A new grading system for evaluating China's cultivated land quality DOI
Liming Liu, De Zhou, Xiao Chang

et al.

Land Degradation and Development, Journal Year: 2020, Volume and Issue: 31(12), P. 1482 - 1501

Published: Jan. 9, 2020

Abstract Cultivated land is crucial to food security, social and economic stability, environmental quality, sustainable urban–rural development in China around the world. However, most of current grading systems for evaluating cultivated quality tend generate homogeneous results inadequate spatial descriptions mainly due use a composite index method that often fails recognize matching relationship between needs land. The purpose this study propose new system China's involves two scoring scheme. In proposed system, redefined terms production capacity minimum limiting factor weighted linear model are coupled grading. demonstrated by case‐study Yimen Town, loess plateau region western Shaanxi Province. clearly indicate superior when compared using methods: pattern comparison crop performance validation method. also favorable relationships subclasses versus soil types landforms. not only helps better understand but provides clear direction science‐based remediation amelioration

Language: Английский

Citations

66

Spatially Explicit Evaluation and Driving Factor Identification of Land Use Conflict in Yangtze River Economic Belt DOI Creative Commons
Jiaxing Cui, Xuesong Kong, Jing Chen

et al.

Land, Journal Year: 2021, Volume and Issue: 10(1), P. 43 - 43

Published: Jan. 5, 2021

Regional land use transitions driven by the adaptive reconciliation of existing conflict with socioeconomic development can lead to positive economic effects as well new conflict. Although research on transition has progressed considerably, limited studies have explored spatiotemporal dynamic pattern during period. Previous evaluation approaches that mainly focus status or potential lack intensity process. A spatially explicit framework directly examines three aspects conflict, namely, ecological and agricultural (EAC), construction (ACC), (ECC) conflicts based quality suitability, is proposed in this study. The driving factors Yangtze River Economic Belt China period 2000–2018 are evaluated. results indicated comprehensive (CLUC) slightly decreased 9.91% its barycenter showed a trend toward west 2000–2018. ACC most drastic among mean reduced remarkably 38.26%, while EAC increased 33.15% ECC 28.28% periods. moved east west. changes spreading indices demonstrated territorial space development. Total population, population density, per capita GDP, number mobile phone users, road density were strong drivers influenced space. Multiple policy recommendations including improving planning governance ability, efficiency, manage resolve conclusions study will help improve future regional policies reduce

Language: Английский

Citations

51

Spatial-temporal dynamics of grain yield and the potential driving factors at the county level in China DOI
Jiawei Pan, Yiyun Chen, Yan Zhang

et al.

Journal of Cleaner Production, Journal Year: 2020, Volume and Issue: 255, P. 120312 - 120312

Published: Jan. 30, 2020

Language: Английский

Citations

50