Spatial-temporal characteristics and influencing factors of food production efficiency based on WEF nexus in China

被引:32
|
作者
Zheng, Defeng [1 ]
An, Zhiying [1 ]
Yan, Chenglin [1 ]
Wu, Rina [1 ]
机构
[1] Liaoning Normal Univ, Sch Geog, Dalian 116029, Peoples R China
关键词
Water-energy-food; Food production efficiency; Stochastic frontier production function model; Tobit model; China; ENERGY; WATER;
D O I
10.1016/j.jclepro.2021.129921
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Water, energy, and food (WEF) are essential material bases for mankind's survival and development. At the same time, water and energy, as necessary inputs for food production, are of great significance to food security. Scientific understanding of the water-energy-food nexus (WEF Nexus) in food production is conducive to ensuring food security and sustainable utilization of basic resources. However, current research linking the WEF Nexus with food production is lacking. Therefore, we took the WEF Nexus as an entry point to quantify China's food production efficiency and considered the direct and indirect inputs of water and energy in food production in this paper. First, we constructed an evaluation index system of food production efficiency based on the perspective of input-output and used the stochastic frontier production function model to measure the absolute efficiency values of food production. Then, GIS spatial analysis, spatial autocorrelation analysis, and the gravity center model were used to reveal the spatial-temporal pattern, spatial autocorrelation characteristics and barycenter trajectory, respectively. Finally, the Tobit model was applied to analyze the main factors which influenced the spatial pattern changes of food production efficiency. The research results indicated that China's food production efficiency was on the rise and there were spatial differences between provinces. Per capita GDP, natural disaster losses and irrigated areas of food crops were the main factors influencing China's food production efficiency. This paper contributed a new theoretical reference to the study of food production efficiency, and provided a decision-making reference for regional resource management to ensure basic resource security and sustainable development in the future.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Spatial-Temporal Characteristics and Influencing Factors of Lake Water and Groundwater Chemistry in Hulun Lake, Northeast China
    Wang, Wenlin
    Li, Wenjing
    Xue, Mengyong
    Gu, Xiaomin
    Ye, Chenghui
    Jiao, Yanwen
    Liu, Bo
    Han, Yujie
    Tong, Yi
    Zhang, Xiaofei
    WATER, 2023, 15 (05)
  • [32] Spatial-temporal characteristics and influencing factors of farmland expansion in different agricultural regions of Heilongjiang Province, China
    Chen, Hang
    Meng, Fei
    Yu, Zhenning
    Tan, Yongzhong
    LAND USE POLICY, 2022, 115
  • [33] Spatial-temporal Evolution Characteristics and Decoupling Analysis of Influencing Factors of China’s Aviation Carbon Emissions
    Ruiling Han
    Lingling Li
    Xiaoyan Zhang
    Zi Lu
    Shaohua Zhu
    Chinese Geographical Science, 2022, 32 : 218 - 236
  • [34] Research on the Spatial-temporal Differences and Influencing Factors of Anhui Industrial Environmental Efficiency
    Yao, Z.
    Zhao, H. S.
    Liu, X.
    Yu, Q.
    Zhuang, H. X.
    Shen, N. Y.
    2020 4TH INTERNATIONAL WORKSHOP ON RENEWABLE ENERGY AND DEVELOPMENT (IWRED 2020), 2020, 510
  • [35] Spatial-temporal Evolution Characteristics and Decoupling Analysis of Influencing Factors of China's Aviation Carbon Emissions
    HAN Ruiling
    LI Lingling
    ZHANG Xiaoyan
    LU Zi
    ZHU Shaohua
    Chinese Geographical Science, 2022, 32 (02) : 218 - 236
  • [36] Spatial-temporal Evolution Characteristics and Decoupling Analysis of Influencing Factors of China's Aviation Carbon Emissions
    Han Ruiling
    Li Lingling
    Zhang Xiaoyan
    Lu Zi
    Zhu Shaohua
    CHINESE GEOGRAPHICAL SCIENCE, 2022, 32 (02) : 218 - 236
  • [37] The spatial-temporal evolution characteristics and influencing factors of the coupling between the industrial chain and innovation chain in China
    Li, Yi
    Zhou, Bing
    SUSTAINABLE FUTURES, 2024, 8
  • [38] Spatial-temporal characteristics and influencing factors of county-level carbon emissions in Zhejiang Province, China
    Qi, Huibo
    Shen, Xinyi
    Long, Fei
    Liu, Meijuan
    Gao, Xiaowei
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (04) : 10136 - 10148
  • [39] Industrial ecological efficiency of cities in the Yellow River Basin in the background of China's economic transformation: spatial-temporal characteristics and influencing factors
    Song, Chengzhen
    Yin, Guanwen
    Lu, Zhilin
    Chen, Yanbin
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (03) : 4334 - 4349
  • [40] Industrial ecological efficiency of cities in the Yellow River Basin in the background of China’s economic transformation: spatial-temporal characteristics and influencing factors
    Chengzhen Song
    Guanwen Yin
    Zhilin Lu
    Yanbin Chen
    Environmental Science and Pollution Research, 2022, 29 : 4334 - 4349